diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e60f2fbcbc65aef4f103d0e4e15624ad351f8002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Years_Experience": "0", "support": 259, "avg_response": 27.362934362934364}, {"Years_Experience": "1", "support": 227, "avg_response": 29.22466960352423}, {"Years_Experience": "2", "support": 153, "avg_response": 33.97385620915033}, {"Years_Experience": "3", "support": 139, "avg_response": 34.906474820143885}, {"Years_Experience": "4", "support": 123, "avg_response": 36.26829268292683}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e95dd1fb747e18f54d8ac40bafa69e09fd7d8aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_01493cfbc52b1e1c +-- problem_id: v2p_m1_881fdef79bb6ac60 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Years_Experience", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Years_Experience" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37bb525a24b7152485e8904ef1a7453e7bd23267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_01493cfbc52b1e1c\n-- problem_id: v2p_m1_881fdef79bb6ac60\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Years_Experience\",\n COUNT(*) AS support,\n AVG(\"Age\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Years_Experience\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_01493cfbc52b1e1c\\n-- problem_id: v2p_m1_881fdef79bb6ac60\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Years_Experience\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Age\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Years_Experience\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Years_Experience\", \"support\", \"avg_response\"], \"rows\": [{\"Years_Experience\": \"0\", \"support\": 259, \"avg_response\": 27.362934362934364}, {\"Years_Experience\": \"1\", \"support\": 227, \"avg_response\": 29.22466960352423}, {\"Years_Experience\": \"2\", \"support\": 153, \"avg_response\": 33.97385620915033}, {\"Years_Experience\": \"3\", \"support\": 139, \"avg_response\": 34.906474820143885}, {\"Years_Experience\": \"4\", \"support\": 123, \"avg_response\": 36.26829268292683}, {\"Years_Experience\": \"5\", \"support\": 110, \"avg_response\": 37.472727272727276}, {\"Years_Experience\": \"6\", \"support\": 95, \"avg_response\": 38.65263157894737}, {\"Years_Experience\": \"7\", \"support\": 74, \"avg_response\": 39.24324324324324}, {\"Years_Experience\": \"8\", \"support\": 64, \"avg_response\": 40.4375}, {\"Years_Experience\": \"9\", \"support\": 56, \"avg_response\": 40.964285714285715}, {\"Years_Experience\": \"10\", \"support\": 38, \"avg_response\": 41.6578947368421}, {\"Years_Experience\": \"11\", \"support\": 36, \"avg_response\": 42.166666666666664}, {\"Years_Experience\": \"12\", \"support\": 26, \"avg_response\": 45.26923076923077}, {\"Years_Experience\": \"13\", \"support\": 23, \"avg_response\": 42.73913043478261}, {\"Years_Experience\": \"17\", \"support\": 16, \"avg_response\": 47.6875}, {\"Years_Experience\": \"15\", \"support\": 12, \"avg_response\": 44.5}, {\"Years_Experience\": \"16\", \"support\": 9, \"avg_response\": 47.333333333333336}, {\"Years_Experience\": \"14\", \"support\": 9, \"avg_response\": 44.333333333333336}, {\"Years_Experience\": \"19\", \"support\": 6, \"avg_response\": 46.5}, {\"Years_Experience\": \"18\", \"support\": 5, \"avg_response\": 50.0}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc29e3e9d6514032bb50c04a372a0e9e0daebba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.307139+00:00", + "ended_at": "2026-05-19T16:11:34.308694+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_01493cfbc52b1e1c", + "problem_id": "v2p_m1_881fdef79bb6ac60", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Age, key_col=Years_Experience.", + "bindings": { + "key_col": "Years_Experience", + "measure_col": "Age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_01493cfbc52b1e1c.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_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_01493cfbc52b1e1c/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_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b2696f90590908d3d57a12377498a83bf3debd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/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=Has_Children. +Result preview: [{"Has_Children": "Yes", "support": 676}, {"Has_Children": "No", "support": 824}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1f56f5bb7ce9dd84479145006cdc6bed28eb3f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0412d1c7c316e5f5 +-- problem_id: v2p_m1_8c932a26026a5eb6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Has_Children", + COUNT(*) AS "support" +FROM "m1" +GROUP BY "Has_Children" +ORDER BY "support" ASC, "Has_Children" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5381fd2416845e0db0c628ab6931c6d7163827a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/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 \"Has_Children\",\n COUNT(*) AS \"support\"\nFROM \"m1\"\nGROUP BY \"Has_Children\"\nORDER BY \"support\" ASC, \"Has_Children\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Has_Children\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Has_Children\\\"\\nLIMIT 12;\", \"columns\": [\"Has_Children\", \"support\"], \"rows\": [{\"Has_Children\": \"Yes\", \"support\": 676}, {\"Has_Children\": \"No\", \"support\": 824}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1dc2d5b2706956eab3cb6bd663b3c6d0132f5b12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:34.091672+00:00", + "ended_at": "2026-05-19T16:07:42.522775+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0412d1c7c316e5f5", + "problem_id": "v2p_m1_8c932a26026a5eb6", + "dataset_id": "m1", + "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=Has_Children.", + "bindings": { + "group_col": "Has_Children", + "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": 38.0, + "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_a/m1/sql/v2q_m1_0412d1c7c316e5f5.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0412d1c7c316e5f5", + "api_calls": 0, + "input_tokens": 16694, + "cached_input_tokens": 12032, + "output_tokens": 324, + "total_tokens": 17018, + "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": 8424.61, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/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_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e91b774d01cdeea12bd2dde34c09b31841cc2245 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:42.519764+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": 8424.61, "started_at": "2026-05-19T16:07:34.094178+00:00", "ended_at": "2026-05-19T16:07:42.518818+00:00", "prompt_metrics": {"chars": 16315, "bytes_utf8": 16315, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16694, "cached_input_tokens": 12032, "output_tokens": 324, "reasoning_output_tokens": 220}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Has_Children\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Has_Children\\\"\\nLIMIT 12;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col=\\\"Has_Children\\\" and top_k=12 on single table \\\"m1\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..058b36f48ede792c19a210a3f05cab3be87ade22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0412d1c7c316e5f5", + "api_calls": 0, + "input_tokens": 16694, + "cached_input_tokens": 12032, + "output_tokens": 324, + "total_tokens": 17018, + "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": 8424.61, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0412d1c7c316e5f5/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_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c0f31557d85f67e1f3823359979b0f88dab1b91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Job_Satisfaction": "100.0", "support": 1081, "avg_response": 35.74283071230342}, {"Job_Satisfaction": "78.4", "support": 5, "avg_response": 31.2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea46ce895c12a064d8788a7099b0be7644f04919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_05b9b4ed7fa43dee +-- problem_id: v2p_m1_7320795813c27623 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Job_Satisfaction", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Job_Satisfaction" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d0981efb684f446ee21ff446e99ea68f5277b3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_05b9b4ed7fa43dee\n-- problem_id: v2p_m1_7320795813c27623\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Job_Satisfaction\",\n COUNT(*) AS support,\n AVG(\"Age\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Job_Satisfaction\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_05b9b4ed7fa43dee\\n-- problem_id: v2p_m1_7320795813c27623\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Job_Satisfaction\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Age\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Job_Satisfaction\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Job_Satisfaction\", \"support\", \"avg_response\"], \"rows\": [{\"Job_Satisfaction\": \"100.0\", \"support\": 1081, \"avg_response\": 35.74283071230342}, {\"Job_Satisfaction\": \"78.4\", \"support\": 5, \"avg_response\": 31.2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..32b79e96cd0bf1c254acfb4b341dad16fe9492b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.326660+00:00", + "ended_at": "2026-05-19T16:11:34.328176+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_05b9b4ed7fa43dee", + "problem_id": "v2p_m1_7320795813c27623", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Age, key_col=Job_Satisfaction.", + "bindings": { + "key_col": "Job_Satisfaction", + "measure_col": "Age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_05b9b4ed7fa43dee.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_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_05b9b4ed7fa43dee/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_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f56ea6dbe1c5baf8600c79c826859d38d6d1e2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Productivity_Score": "98.0", "support": 420, "avg_response": 2.947619047619048}, {"Productivity_Score": "35.0", "support": 13, "avg_response": 3.0}, {"Productivity_Score": "74.7", "support": 9, "avg_response": 3.3333333333333335}, {"Productivity_Score": "95.8", "support": 8, "avg_response": 3.375}, {"Productivity_Score": "84.2", "support": 8, "avg_response": 2.25}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a49a8e361e0179d552f73d0f9fecacd664ad2de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_06a53b19ab4311aa +-- problem_id: v2p_m1_d5d23e3cdb17b250 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Productivity_Score", + COUNT(*) AS support, + AVG("WFH_Days_Per_Week") AS avg_response +FROM "m1" +GROUP BY "Productivity_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d4a6e225d6084999460c7376a77278f6822ec9e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_06a53b19ab4311aa\n-- problem_id: v2p_m1_d5d23e3cdb17b250\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Productivity_Score\",\n COUNT(*) AS support,\n AVG(\"WFH_Days_Per_Week\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Productivity_Score\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_06a53b19ab4311aa\\n-- problem_id: v2p_m1_d5d23e3cdb17b250\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Productivity_Score\\\",\\n COUNT(*) AS support,\\n AVG(\\\"WFH_Days_Per_Week\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Productivity_Score\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Productivity_Score\", \"support\", \"avg_response\"], \"rows\": [{\"Productivity_Score\": \"98.0\", \"support\": 420, \"avg_response\": 2.947619047619048}, {\"Productivity_Score\": \"35.0\", \"support\": 13, \"avg_response\": 3.0}, {\"Productivity_Score\": \"74.7\", \"support\": 9, \"avg_response\": 3.3333333333333335}, {\"Productivity_Score\": \"95.8\", \"support\": 8, \"avg_response\": 3.375}, {\"Productivity_Score\": \"84.2\", \"support\": 8, \"avg_response\": 2.25}, {\"Productivity_Score\": \"75.6\", \"support\": 7, \"avg_response\": 4.0}, {\"Productivity_Score\": \"88.6\", \"support\": 7, \"avg_response\": 3.4285714285714284}, {\"Productivity_Score\": \"77.2\", \"support\": 7, \"avg_response\": 3.0}, {\"Productivity_Score\": \"94.8\", \"support\": 7, \"avg_response\": 2.5714285714285716}, {\"Productivity_Score\": \"93.2\", \"support\": 7, \"avg_response\": 2.4285714285714284}, {\"Productivity_Score\": \"84.1\", \"support\": 7, \"avg_response\": 2.2857142857142856}, {\"Productivity_Score\": \"79.6\", \"support\": 6, \"avg_response\": 3.1666666666666665}, {\"Productivity_Score\": \"87.6\", \"support\": 6, \"avg_response\": 3.0}, {\"Productivity_Score\": \"80.9\", \"support\": 6, \"avg_response\": 2.8333333333333335}, {\"Productivity_Score\": \"84.0\", \"support\": 6, \"avg_response\": 2.6666666666666665}, {\"Productivity_Score\": \"57.7\", \"support\": 6, \"avg_response\": 2.5}, {\"Productivity_Score\": \"83.7\", \"support\": 6, \"avg_response\": 2.5}, {\"Productivity_Score\": \"86.3\", \"support\": 6, \"avg_response\": 2.5}, {\"Productivity_Score\": \"95.7\", \"support\": 6, \"avg_response\": 2.1666666666666665}, {\"Productivity_Score\": \"87.4\", \"support\": 6, \"avg_response\": 2.0}, {\"Productivity_Score\": \"79.8\", \"support\": 6, \"avg_response\": 1.5}, {\"Productivity_Score\": \"83.0\", \"support\": 6, \"avg_response\": 1.5}, {\"Productivity_Score\": \"95.0\", \"support\": 6, \"avg_response\": 1.5}, {\"Productivity_Score\": \"73.8\", \"support\": 5, \"avg_response\": 3.6}, {\"Productivity_Score\": \"80.3\", \"support\": 5, \"avg_response\": 3.4}, {\"Productivity_Score\": \"85.5\", \"support\": 5, \"avg_response\": 3.4}, {\"Productivity_Score\": \"91.1\", \"support\": 5, \"avg_response\": 3.4}, {\"Productivity_Score\": \"97.2\", \"support\": 5, \"avg_response\": 3.4}, {\"Productivity_Score\": \"90.0\", \"support\": 5, \"avg_response\": 3.2}, {\"Productivity_Score\": \"91.3\", \"support\": 5, \"avg_response\": 3.2}, {\"Productivity_Score\": \"96.5\", \"support\": 5, \"avg_response\": 3.2}, {\"Productivity_Score\": \"66.9\", \"support\": 5, \"avg_response\": 3.0}, {\"Productivity_Score\": \"73.7\", \"support\": 5, \"avg_response\": 3.0}, {\"Productivity_Score\": \"90.3\", \"support\": 5, \"avg_response\": 3.0}, {\"Productivity_Score\": \"75.0\", \"support\": 5, \"avg_response\": 2.8}, {\"Productivity_Score\": \"77.3\", \"support\": 5, \"avg_response\": 2.8}, {\"Productivity_Score\": \"78.9\", \"support\": 5, \"avg_response\": 2.8}, {\"Productivity_Score\": \"86.6\", \"support\": 5, \"avg_response\": 2.8}, {\"Productivity_Score\": \"78.2\", \"support\": 5, \"avg_response\": 2.6}, {\"Productivity_Score\": \"79.5\", \"support\": 5, \"avg_response\": 2.6}, {\"Productivity_Score\": \"86.2\", \"support\": 5, \"avg_response\": 2.6}, {\"Productivity_Score\": \"86.1\", \"support\": 5, \"avg_response\": 2.4}, {\"Productivity_Score\": \"83.2\", \"support\": 5, \"avg_response\": 2.0}, {\"Productivity_Score\": \"87.0\", \"support\": 5, \"avg_response\": 2.0}, {\"Productivity_Score\": \"92.1\", \"support\": 5, \"avg_response\": 2.0}, {\"Productivity_Score\": \"95.6\", \"support\": 5, \"avg_response\": 2.0}, {\"Productivity_Score\": \"76.6\", \"support\": 5, \"avg_response\": 1.8}, {\"Productivity_Score\": \"86.4\", \"support\": 5, \"avg_response\": 1.6}, {\"Productivity_Score\": \"94.0\", \"support\": 5, \"avg_response\": 1.6}, {\"Productivity_Score\": \"87.3\", \"support\": 5, \"avg_response\": 1.4}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..44a127a9b76e9d698e49fe4b6ca8db2ddc85095e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.311308+00:00", + "ended_at": "2026-05-19T16:11:34.313906+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_06a53b19ab4311aa", + "problem_id": "v2p_m1_d5d23e3cdb17b250", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=WFH_Days_Per_Week, key_col=Productivity_Score.", + "bindings": { + "key_col": "Productivity_Score", + "measure_col": "WFH_Days_Per_Week", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_06a53b19ab4311aa.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_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06a53b19ab4311aa/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_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c347271f1e1ca3ccba8894dc2c495648e20e35b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/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=Gender, measure_col=Age. +Result preview: [{"Gender": "Female", "total_measure": 26117}, {"Gender": "Male", "total_measure": 24714}, {"Gender": "Non-binary", "total_measure": 1955}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1067f4c426dfb510a745401f017ebb0ae1365884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_06e4799f5ca8a8e8 +-- problem_id: v2p_m1_2d21d04fe447e22c +-- realization_mode: agent +-- source_kind: agent +SELECT "Gender", SUM(CAST("Age" AS NUMERIC)) AS "total_measure" +FROM "m1" +GROUP BY "Gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c16586e8e01fa7f9ebeefc182b83022daf495107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/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 \"Gender\", SUM(CAST(\"Age\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Gender\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Gender\\\", SUM(CAST(\\\"Age\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Gender\", \"total_measure\"], \"rows\": [{\"Gender\": \"Female\", \"total_measure\": 26117}, {\"Gender\": \"Male\", \"total_measure\": 24714}, {\"Gender\": \"Non-binary\", \"total_measure\": 1955}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dca4d80ae914348d10d87d8cef2a9869ec02657d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:28:18.003711+00:00", + "ended_at": "2026-05-19T15:28:28.582895+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_06e4799f5ca8a8e8", + "problem_id": "v2p_m1_2d21d04fe447e22c", + "dataset_id": "m1", + "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=Gender, measure_col=Age.", + "bindings": { + "group_col": "Gender", + "measure_col": "Age", + "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": 41.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06e4799f5ca8a8e8.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_06e4799f5ca8a8e8", + "api_calls": 0, + "input_tokens": 16677, + "cached_input_tokens": 12032, + "output_tokens": 291, + "total_tokens": 16968, + "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": 10573.79, + "sql_execution_elapsed_ms_total": 1.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/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_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d19c9c0b30be04e7c6147fcc52a575619adcc85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:28.579845+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": 10573.79, "started_at": "2026-05-19T15:28:18.005140+00:00", "ended_at": "2026-05-19T15:28:28.578967+00:00", "prompt_metrics": {"chars": 16304, "bytes_utf8": 16304, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 351, "bytes_utf8": 351, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16677, "cached_input_tokens": 12032, "output_tokens": 291, "reasoning_output_tokens": 195}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Gender\\\", SUM(CAST(\\\"Age\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped numeric sum template with \\\"Gender\\\" as the grouping column and cast \\\"Age\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..27802926652f7641dcfecc0a6d79456301a572cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_06e4799f5ca8a8e8", + "api_calls": 0, + "input_tokens": 16677, + "cached_input_tokens": 12032, + "output_tokens": 291, + "total_tokens": 16968, + "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": 10573.79, + "sql_execution_elapsed_ms_total": 1.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_06e4799f5ca8a8e8/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_a/m1/artifacts/v2q_m1_08382dd41d4b025d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_08382dd41d4b025d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9eac0e2f14b1828b4423ba9439a481f6fde2cb2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_08382dd41d4b025d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:24.797485+00:00", + "ended_at": "2026-05-19T16:11:34.249034+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_08382dd41d4b025d", + "problem_id": "v2p_m1_6d35bb075c4eed83", + "dataset_id": "m1", + "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=Location_Type, measure_col=Age.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "Age", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_a/m1/artifacts/v2q_m1_08382dd41d4b025d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_08382dd41d4b025d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a87c2f4cc0c1a5e5776e61fff1fd9b3dce7a9b91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_08382dd41d4b025d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:28.221794+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": 3421.8, "started_at": "2026-05-19T16:11:24.799231+00:00", "ended_at": "2026-05-19T16:11:28.221052+00:00", "prompt_metrics": {"chars": 16403, "bytes_utf8": 16403, "lines": 456, "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\":\"019e4101-9c25-7e40-ac07-eec69444e7ef\"}\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": "2026-05-19T16:11:34.248931+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": 5025.03, "started_at": "2026-05-19T16:11:29.223077+00:00", "ended_at": "2026-05-19T16:11:34.248141+00:00", "prompt_metrics": {"chars": 16403, "bytes_utf8": 16403, "lines": 456, "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\":\"019e4101-ad51-75a3-b323-0ad439537fd3\"}\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_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c7bfc95652595899255d6e8956377d82b2fb32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/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=Location_Type, measure_col=Productivity_Score. +Result preview: [{"Location_Type": "Suburban", "total_measure": 56179.1}, {"Location_Type": "Urban", "total_measure": 54761.0}, {"Location_Type": "Rural", "total_measure": 13702.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2576fb01eb0cfe4baf1649415a6347c7a92aa433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_084bdbd6ba92f76a +-- problem_id: v2p_m1_f90805597bda029d +-- realization_mode: agent +-- source_kind: agent +SELECT "Location_Type", SUM(CAST("Productivity_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Location_Type" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d709e2379d2450c541cba317e76c438fd194e234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/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 \"Location_Type\", SUM(CAST(\"Productivity_Score\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Location_Type\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Location_Type\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Location_Type\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Location_Type\", \"total_measure\"], \"rows\": [{\"Location_Type\": \"Suburban\", \"total_measure\": 56179.1}, {\"Location_Type\": \"Urban\", \"total_measure\": 54761.0}, {\"Location_Type\": \"Rural\", \"total_measure\": 13702.2}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e54ab911cdb785f23637b3baf31c81ce978b48d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:29:51.934315+00:00", + "ended_at": "2026-05-19T15:30:02.012056+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_084bdbd6ba92f76a", + "problem_id": "v2p_m1_f90805597bda029d", + "dataset_id": "m1", + "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=Location_Type, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "Productivity_Score", + "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": 94.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_a/m1/sql/v2q_m1_084bdbd6ba92f76a.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_084bdbd6ba92f76a", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 339, + "total_tokens": 17024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10073.23, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/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_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..830909654655845f4c9b666eaeee2082584417cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:02.009581+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": 10073.23, "started_at": "2026-05-19T15:29:51.935586+00:00", "ended_at": "2026-05-19T15:30:02.008835+00:00", "prompt_metrics": {"chars": 16349, "bytes_utf8": 16349, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16685, "cached_input_tokens": 12032, "output_tokens": 339, "reasoning_output_tokens": 229}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Location_Type\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Location_Type\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"Location_Type\\\" and measure_col=\\\"Productivity_Score\\\". Cast \\\"Productivity_Score\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4f5b5f704944cee737b659f749b35c1f132408c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_084bdbd6ba92f76a", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 339, + "total_tokens": 17024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10073.23, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_084bdbd6ba92f76a/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_a/m1/artifacts/v2q_m1_0b10a62218209cf5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..71b2f03a45d1fea920c07166162d9ff135ae3715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/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=Location_Type, measure_col=WFH_Days_Per_Week. +Result preview: [{"Location_Type": "Urban", "group_value": 1944.0}, {"Location_Type": "Suburban", "group_value": 1911.0}, {"Location_Type": "Rural", "group_value": 431.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..227538a04b0e91f660348a8f5ce2f5e6701d0330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0b10a62218209cf5 +-- problem_id: v2p_m1_04d02e0d926164ba +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Location_Type", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Location_Type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Location_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_a/m1/artifacts/v2q_m1_0b10a62218209cf5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a65f0cd99fc8501e145d90e92c8b72490bc484d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/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 \"Location_Type\", SUM(CAST(\"WFH_Days_Per_Week\" AS REAL)) AS group_value\n FROM \"m1\"\n GROUP BY \"Location_Type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Location_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 \\\"Location_Type\\\", SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Location_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\": [\"Location_Type\", \"group_value\"], \"rows\": [{\"Location_Type\": \"Urban\", \"group_value\": 1944.0}, {\"Location_Type\": \"Suburban\", \"group_value\": 1911.0}, {\"Location_Type\": \"Rural\", \"group_value\": 431.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..720e7eebef999e65e931d3e50c5facaff0426e7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:47:13.401180+00:00", + "ended_at": "2026-05-19T15:47:24.624360+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0b10a62218209cf5", + "problem_id": "v2p_m1_04d02e0d926164ba", + "dataset_id": "m1", + "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=Location_Type, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "WFH_Days_Per_Week", + "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": 4.0, + "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=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_a/m1/sql/v2q_m1_0b10a62218209cf5.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0b10a62218209cf5", + "api_calls": 0, + "input_tokens": 16829, + "cached_input_tokens": 15744, + "output_tokens": 512, + "total_tokens": 17341, + "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": 11213.87, + "sql_execution_elapsed_ms_total": 2.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/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_a/m1/artifacts/v2q_m1_0b10a62218209cf5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bcc4eb01404df064a5d12d89cdd0dff29a7daef8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:24.618640+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": 11213.87, "started_at": "2026-05-19T15:47:13.402858+00:00", "ended_at": "2026-05-19T15:47:24.616774+00:00", "prompt_metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16829, "cached_input_tokens": 15744, "output_tokens": 512, "reasoning_output_tokens": 334}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Location_Type\\\", SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Location_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 planned Relative-to-Total Extreme Threshold template with group_col=\\\"Location_Type\\\" and measure_col=\\\"WFH_Days_Per_Week\\\". The measure is cast from TEXT to REAL so SQLite can sum it correctly.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..855b8b5f27dfce49806ead6436b54779ae4220fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0b10a62218209cf5", + "api_calls": 0, + "input_tokens": 16829, + "cached_input_tokens": 15744, + "output_tokens": 512, + "total_tokens": 17341, + "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": 11213.87, + "sql_execution_elapsed_ms_total": 2.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0b10a62218209cf5/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_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..120dc2008d890944e24d8ba078616b237ef8866e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Moderate", "support": 542, "support_share": 0.36133333333333334, "support_rank": 1}, {"value_label": "High", "support": 492, "support_share": 0.328, "support_rank": 2}, {"value_label": "Very High", "support": 253, "support_share": 0.16866666666666666, "support_rank": 3}, {"value_label": "Low", "support": 174, "support_share": 0.116, "support_rank": 4}, {"value_label": "Very Low", "support": 39, "support_share": 0.026, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3d004dfe240012471fa22e3b0c1eca90a62adcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_0bd52e7d0c5d921e +-- problem_id: v2p_m1_d0d78305d385e762 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Manager_Support_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Manager_Support_Level" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ca5203e50f15867719c60bda80d71d4b292fe9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_0bd52e7d0c5d921e\n-- problem_id: v2p_m1_d0d78305d385e762\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Manager_Support_Level\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Manager_Support_Level\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_0bd52e7d0c5d921e\\n-- problem_id: v2p_m1_d0d78305d385e762\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Manager_Support_Level\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Moderate\", \"support\": 542, \"support_share\": 0.36133333333333334, \"support_rank\": 1}, {\"value_label\": \"High\", \"support\": 492, \"support_share\": 0.328, \"support_rank\": 2}, {\"value_label\": \"Very High\", \"support\": 253, \"support_share\": 0.16866666666666666, \"support_rank\": 3}, {\"value_label\": \"Low\", \"support\": 174, \"support_share\": 0.116, \"support_rank\": 4}, {\"value_label\": \"Very Low\", \"support\": 39, \"support_share\": 0.026, \"support_rank\": 5}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0306d4ed858f3fa2d21dc3244b2d18269259b9a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.294885+00:00", + "ended_at": "2026-05-19T16:11:34.296365+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0bd52e7d0c5d921e", + "problem_id": "v2p_m1_d0d78305d385e762", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Manager_Support_Level.", + "bindings": { + "group_col": "Manager_Support_Level" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_0bd52e7d0c5d921e.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_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0bd52e7d0c5d921e/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_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3db3def8579e3d228b4d83c4608ae5a55699be79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/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=Gender, measure_col=Years_Experience. +Result preview: [{"Gender": "Female", "percentile_measure": 11.0}, {"Gender": "Male", "percentile_measure": 11.0}, {"Gender": "Non-binary", "percentile_measure": 8.100000000000001}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3cfc67512b1d9895330d06923add809826fe48a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/generated_sql.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0d4d344ddc1436c1 +-- problem_id: v2p_m1_3b2dae384bbf6c3f +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Gender", + CAST("Years_Experience" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Gender" + ORDER BY CAST("Years_Experience" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Gender" + ) AS "cnt" + FROM "m1" + WHERE "Gender" IS NOT NULL + AND "Years_Experience" IS NOT NULL + AND TRIM("Years_Experience") <> '' +), +"eligible" AS ( + SELECT * + FROM "ordered" + WHERE "cnt" >= 5 +), +"positions" AS ( + SELECT DISTINCT + "Gender", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) > CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + 1 + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + END AS "upper_rn" + FROM "eligible" +), +"bounds" AS ( + SELECT + p."Gender", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN e."rn" = p."lower_rn" THEN e."measure_value" END) AS "lower_val", + MAX(CASE WHEN e."rn" = p."upper_rn" THEN e."measure_value" END) AS "upper_val" + FROM "positions" AS p + JOIN "eligible" AS e + ON e."Gender" = p."Gender" + GROUP BY + p."Gender", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Gender", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dc6cf0f3f8b458d7fbada04a97ed6cab8bc2d98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/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 \"Gender\",\n CAST(\"Years_Experience\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Gender\"\n ORDER BY CAST(\"Years_Experience\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Gender\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Gender\" IS NOT NULL\n AND \"Years_Experience\" IS NOT NULL\n AND TRIM(\"Years_Experience\") <> ''\n),\n\"eligible\" AS (\n SELECT *\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"Gender\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT)\n THEN CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT) + 1\n ELSE CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INT)\n END AS \"upper_rn\"\n FROM \"eligible\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Gender\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN e.\"rn\" = p.\"lower_rn\" THEN e.\"measure_value\" END) AS \"lower_val\",\n MAX(CASE WHEN e.\"rn\" = p.\"upper_rn\" THEN e.\"measure_value\" END) AS \"upper_val\"\n FROM \"positions\" AS p\n JOIN \"eligible\" AS e\n ON e.\"Gender\" = p.\"Gender\"\n GROUP BY\n p.\"Gender\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"Gender\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_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 \\\"Gender\\\",\\n CAST(\\\"Years_Experience\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Gender\\\"\\n ORDER BY CAST(\\\"Years_Experience\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Gender\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\n AND TRIM(\\\"Years_Experience\\\") <> ''\\n),\\n\\\"eligible\\\" AS (\\n SELECT *\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Gender\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT)\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) + 1\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"eligible\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN e.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN e.\\\"measure_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN e.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN e.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"eligible\\\" AS e\\n ON e.\\\"Gender\\\" = p.\\\"Gender\\\"\\n GROUP BY\\n p.\\\"Gender\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Gender\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Gender\", \"percentile_measure\"], \"rows\": [{\"Gender\": \"Female\", \"percentile_measure\": 11.0}, {\"Gender\": \"Male\", \"percentile_measure\": 11.0}, {\"Gender\": \"Non-binary\", \"percentile_measure\": 8.100000000000001}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3f0ad54798805e4eef73f48cd9242dfd4ede8bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:52:52.912120+00:00", + "ended_at": "2026-05-19T15:53:39.092560+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0d4d344ddc1436c1", + "problem_id": "v2p_m1_3b2dae384bbf6c3f", + "dataset_id": "m1", + "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=Gender, measure_col=Years_Experience.", + "bindings": { + "group_col": "Gender", + "measure_col": "Years_Experience", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "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=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_a/m1/sql/v2q_m1_0d4d344ddc1436c1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0d4d344ddc1436c1", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 3248, + "total_tokens": 19967, + "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": 46168.19, + "sql_execution_elapsed_ms_total": 7.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/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_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b556f6e1f6255375b957f4368217a6f0e67e5bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:39.082713+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": 46168.19, "started_at": "2026-05-19T15:52:52.913522+00:00", "ended_at": "2026-05-19T15:53:39.081737+00:00", "prompt_metrics": {"chars": 16506, "bytes_utf8": 16506, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1945, "bytes_utf8": 1945, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 15744, "output_tokens": 3248, "reasoning_output_tokens": 2584}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Gender\\\",\\n CAST(\\\"Years_Experience\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Gender\\\"\\n ORDER BY CAST(\\\"Years_Experience\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Gender\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\n AND TRIM(\\\"Years_Experience\\\") <> ''\\n),\\n\\\"eligible\\\" AS (\\n SELECT *\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Gender\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT)\\n THEN CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT) + 1\\n ELSE CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INT)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"eligible\\\"\\n),\\n\\\"bounds"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..147d90bf3254a0766c584a3e5e80d63ea4783f3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0d4d344ddc1436c1", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 3248, + "total_tokens": 19967, + "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": 46168.19, + "sql_execution_elapsed_ms_total": 7.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d4d344ddc1436c1/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_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..655a29f84e36b73461f5b5c38fc1c97e54c6f543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/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=Education_Level, measure_col=Years_Experience. +Result preview: [{"Education_Level": "Bachelor Degree", "total_measure": 3209.0}, {"Education_Level": "Master Degree", "total_measure": 2032.0}, {"Education_Level": "Associate Degree", "total_measure": 752.0}, {"Education_Level": "High School", "total_measure": 393.0}, {"Education_Level": "PhD", "total_measure": 385.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..00073c290000bd965584d4479d5745adf68c53cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0d6aed317412ef3a +-- problem_id: v2p_m1_828949dfad54062e +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", SUM(CAST("Years_Experience" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Education_Level" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5cbd91eeecbdb62ae9f6ccdab9d4d33b5b6d8325 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/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 \"Education_Level\", SUM(CAST(\"Years_Experience\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Education_Level\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Education_Level\\\", SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Education_Level\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Education_Level\", \"total_measure\"], \"rows\": [{\"Education_Level\": \"Bachelor Degree\", \"total_measure\": 3209.0}, {\"Education_Level\": \"Master Degree\", \"total_measure\": 2032.0}, {\"Education_Level\": \"Associate Degree\", \"total_measure\": 752.0}, {\"Education_Level\": \"High School\", \"total_measure\": 393.0}, {\"Education_Level\": \"PhD\", \"total_measure\": 385.0}, {\"Education_Level\": \"Professional Degree\", \"total_measure\": 121.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..50cd1eca239cc64696ed8ffffed2e01f02a2569a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:28:44.474552+00:00", + "ended_at": "2026-05-19T15:28:52.624324+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0d6aed317412ef3a", + "problem_id": "v2p_m1_828949dfad54062e", + "dataset_id": "m1", + "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=Education_Level, measure_col=Years_Experience.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "Years_Experience", + "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": 5.0, + "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=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d6aed317412ef3a.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0d6aed317412ef3a", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 16958, + "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": 8145.35, + "sql_execution_elapsed_ms_total": 1.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/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_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4fec57566e1441a8077fb7065caa27e3ea1f1da5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:52.621921+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": 8145.35, "started_at": "2026-05-19T15:28:44.475828+00:00", "ended_at": "2026-05-19T15:28:52.621206+00:00", "prompt_metrics": {"chars": 16349, "bytes_utf8": 16349, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 381, "bytes_utf8": 381, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16683, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 180}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Education_Level\\\", SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Education_Level\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped-sum template with \\\"Education_Level\\\" as the grouping column and cast \\\"Years_Experience\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..225a4796f7f1ff79285aa93c3cd1de24de8e4e8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0d6aed317412ef3a", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 16958, + "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": 8145.35, + "sql_execution_elapsed_ms_total": 1.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0d6aed317412ef3a/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_a/m1/artifacts/v2q_m1_0e74392c15c2f499/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec287c5715ed6d85be8dd74f3d1ecd130f7ae657 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/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=Job_Level, condition_col=Gender. +Result preview: [{"Job_Level": "Senior", "condition_ratio": 1.1888111888111887}, {"Job_Level": "Manager", "condition_ratio": 1.1851851851851851}, {"Job_Level": "Junior", "condition_ratio": 1.0318725099601593}, {"Job_Level": "Lead", "condition_ratio": 1.028169014084507}, {"Job_Level": "Mid-Level", "condition_ratio": 0.966183574879227}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a0541b54256648f25019e14846a306eeddc04ae6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0e74392c15c2f499 +-- problem_id: v2p_m1_fbfe9c189644da1a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Job_Level", + SUM(CASE WHEN "Gender" = 'Female' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Gender" = 'Male' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Job_Level" +) +SELECT "Job_Level", + 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_a/m1/artifacts/v2q_m1_0e74392c15c2f499/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac6d3ccb81864c454bfda82345d715e6215ffc58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/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 \"Job_Level\",\n SUM(CASE WHEN \"Gender\" = 'Female' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"Gender\" = 'Male' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m1\"\n GROUP BY \"Job_Level\"\n)\nSELECT \"Job_Level\",\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 \\\"Job_Level\\\",\\n SUM(CASE WHEN \\\"Gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Gender\\\" = 'Male' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Job_Level\\\"\\n)\\nSELECT \\\"Job_Level\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Job_Level\", \"condition_ratio\"], \"rows\": [{\"Job_Level\": \"Senior\", \"condition_ratio\": 1.1888111888111887}, {\"Job_Level\": \"Manager\", \"condition_ratio\": 1.1851851851851851}, {\"Job_Level\": \"Junior\", \"condition_ratio\": 1.0318725099601593}, {\"Job_Level\": \"Lead\", \"condition_ratio\": 1.028169014084507}, {\"Job_Level\": \"Mid-Level\", \"condition_ratio\": 0.966183574879227}, {\"Job_Level\": \"Director\", \"condition_ratio\": 0.75}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aa53b647c0e0af9569f819bf1b7776d0b4a1e1ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:41:26.601866+00:00", + "ended_at": "2026-05-19T15:41:41.015122+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0e74392c15c2f499", + "problem_id": "v2p_m1_fbfe9c189644da1a", + "dataset_id": "m1", + "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=Job_Level, condition_col=Gender.", + "bindings": { + "group_col": "Job_Level", + "condition_col": "Gender", + "condition_value": "Female", + "positive_value": "Female", + "negative_value": "Male", + "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": 7.0, + "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_a/m1/sql/v2q_m1_0e74392c15c2f499.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0e74392c15c2f499", + "api_calls": 0, + "input_tokens": 16888, + "cached_input_tokens": 12032, + "output_tokens": 689, + "total_tokens": 17577, + "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": 14408.08, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/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_a/m1/artifacts/v2q_m1_0e74392c15c2f499/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3cdc5acd7c7208ccb9293f16c649ef1c59d30fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:41.012696+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": 14408.08, "started_at": "2026-05-19T15:41:26.603832+00:00", "ended_at": "2026-05-19T15:41:41.011942+00:00", "prompt_metrics": {"chars": 17134, "bytes_utf8": 17134, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 631, "bytes_utf8": 631, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16888, "cached_input_tokens": 12032, "output_tokens": 689, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Job_Level\\\",\\n SUM(CASE WHEN \\\"Gender\\\" = 'Female' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Gender\\\" = 'Male' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Job_Level\\\"\\n)\\nSELECT \\\"Job_Level\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes the Female-to-Male count ratio for each Job_Level using the planned grouped conditional ratio template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..76eaef99dd43d1f01421c16e24f63b4bc407a6ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0e74392c15c2f499", + "api_calls": 0, + "input_tokens": 16888, + "cached_input_tokens": 12032, + "output_tokens": 689, + "total_tokens": 17577, + "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": 14408.08, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0e74392c15c2f499/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_a/m1/artifacts/v2q_m1_0fb3892cb073099d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9022b12d103a0fcfd0503602c09017b347b59f32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Team_Collaboration_Frequency, condition_col=Job_Level. +Result preview: [{"Team_Collaboration_Frequency": "Few times per week", "condition_rate": 0.3797752808988764}, {"Team_Collaboration_Frequency": "Daily", "condition_rate": 0.3568627450980392}, {"Team_Collaboration_Frequency": "Weekly", "condition_rate": 0.3558823529411765}, {"Team_Collaboration_Frequency": "Monthly", "condition_rate": 0.33783783783783783}, {"Team_Collaboration_Frequency": "Bi-weekly", "condition_rate": 0.32061068702290074}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c204886e7fd0c5869b29a1982117689a5117bf2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_0fb3892cb073099d +-- problem_id: v2p_m1_9888272921000d49 +-- realization_mode: agent +-- source_kind: agent +SELECT "Team_Collaboration_Frequency", + AVG(CASE WHEN "Job_Level" = 'Junior' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Team_Collaboration_Frequency" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a75fc31c9c7605122e4a4833722b723c544aa8b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/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 \"Team_Collaboration_Frequency\",\n AVG(CASE WHEN \"Job_Level\" = 'Junior' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m1\"\nGROUP BY \"Team_Collaboration_Frequency\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Team_Collaboration_Frequency\\\",\\n AVG(CASE WHEN \\\"Job_Level\\\" = 'Junior' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"condition_rate\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Few times per week\", \"condition_rate\": 0.3797752808988764}, {\"Team_Collaboration_Frequency\": \"Daily\", \"condition_rate\": 0.3568627450980392}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"condition_rate\": 0.3558823529411765}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"condition_rate\": 0.33783783783783783}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"condition_rate\": 0.32061068702290074}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7c89140d10514582d9764845ff270191a1e82809 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:04.682549+00:00", + "ended_at": "2026-05-19T16:03:15.019580+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_0fb3892cb073099d", + "problem_id": "v2p_m1_9888272921000d49", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency, condition_col=Job_Level.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "condition_col": "Job_Level", + "condition_value": "Junior", + "positive_value": "Junior", + "negative_value": "Mid-Level", + "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": 8.0, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0fb3892cb073099d.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0fb3892cb073099d", + "api_calls": 0, + "input_tokens": 16751, + "cached_input_tokens": 12032, + "output_tokens": 474, + "total_tokens": 17225, + "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": 10330.09, + "sql_execution_elapsed_ms_total": 1.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/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_a/m1/artifacts/v2q_m1_0fb3892cb073099d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c53a944f1dc83263d26988c8e033747c917de80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:15.016185+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": 10330.09, "started_at": "2026-05-19T16:03:04.685032+00:00", "ended_at": "2026-05-19T16:03:15.015157+00:00", "prompt_metrics": {"chars": 16613, "bytes_utf8": 16613, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16751, "cached_input_tokens": 12032, "output_tokens": 474, "reasoning_output_tokens": 353}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Team_Collaboration_Frequency\\\",\\n AVG(CASE WHEN \\\"Job_Level\\\" = 'Junior' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the rate of records with Job_Level = 'Junior' within each Team_Collaboration_Frequency group, following the Grouped Condition Rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31888575a33c9be5fdda99cc16f79db2ab2a781e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_0fb3892cb073099d", + "api_calls": 0, + "input_tokens": 16751, + "cached_input_tokens": 12032, + "output_tokens": 474, + "total_tokens": 17225, + "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": 10330.09, + "sql_execution_elapsed_ms_total": 1.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_0fb3892cb073099d/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_a/m1/artifacts/v2q_m1_10b98eafb0959930/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d903035d01d038c2ce9555c636d1f83baec887ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Stress_Level. +Result preview: [{"Stress_Level": 10.0}, {"Stress_Level": 10.0}, {"Stress_Level": 10.0}, {"Stress_Level": 10.0}, {"Stress_Level": 10.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..80f7379c939ef462d0c9be2864b8d52161987526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_10b98eafb0959930 +-- problem_id: v2p_m1_12a744770725f255 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + CAST("Stress_Level" AS REAL) AS "Stress_Level", + NTILE(10) OVER (ORDER BY CAST("Stress_Level" AS REAL) DESC) AS "tail_bucket" + FROM "m1" +) +SELECT "Stress_Level" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "Stress_Level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ddaabc90c2cf02f8a99ced40fbc50f54e4fecf00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n CAST(\"Stress_Level\" AS REAL) AS \"Stress_Level\",\n NTILE(10) OVER (ORDER BY CAST(\"Stress_Level\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n)\nSELECT \"Stress_Level\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"Stress_Level\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n CAST(\\\"Stress_Level\\\" AS REAL) AS \\\"Stress_Level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Stress_Level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n)\\nSELECT \\\"Stress_Level\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Stress_Level\\\" DESC;\", \"columns\": [\"Stress_Level\"], \"rows\": [{\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 10.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}, {\"Stress_Level\": 9.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..17fc54d284b947f4925313871d15add79a7a3f06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:46:43.380537+00:00", + "ended_at": "2026-05-19T15:47:01.623859+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_10b98eafb0959930", + "problem_id": "v2p_m1_12a744770725f255", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Stress_Level.", + "bindings": { + "measure_col": "Stress_Level", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=68" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_10b98eafb0959930.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_10b98eafb0959930", + "api_calls": 0, + "input_tokens": 16734, + "cached_input_tokens": 15744, + "output_tokens": 518, + "total_tokens": 17252, + "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": 18236.41, + "sql_execution_elapsed_ms_total": 2.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/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_a/m1/artifacts/v2q_m1_10b98eafb0959930/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3508dc584c59b649376cfce823380b9a74fed213 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:01.619893+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": 18236.41, "started_at": "2026-05-19T15:46:43.382613+00:00", "ended_at": "2026-05-19T15:47:01.619062+00:00", "prompt_metrics": {"chars": 16496, "bytes_utf8": 16496, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 584, "bytes_utf8": 584, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16734, "cached_input_tokens": 15744, "output_tokens": 518, "reasoning_output_tokens": 362}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n CAST(\\\"Stress_Level\\\" AS REAL) AS \\\"Stress_Level\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Stress_Level\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n)\\nSELECT \\\"Stress_Level\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Stress_Level\\\" DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"Stress_Level\\\" and num_tiles=10. Cast \\\"Stress_Level\\\" from TEXT to REAL so the tail bucket and descending order are numeric, not lexicographic.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b33270fcfb8b9204852871de95e00593e80fa5ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_10b98eafb0959930", + "api_calls": 0, + "input_tokens": 16734, + "cached_input_tokens": 15744, + "output_tokens": 518, + "total_tokens": 17252, + "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": 18236.41, + "sql_execution_elapsed_ms_total": 2.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_10b98eafb0959930/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_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7cb6524567fa5a5ce1c88f5cb912b1a0e4e15c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/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=Marital_Status, measure_col=WFH_Days_Per_Week. +Result preview: [{"Marital_Status": "Married", "total_measure": 2187.0}, {"Marital_Status": "Single", "total_measure": 1202.0}, {"Marital_Status": "Divorced", "total_measure": 560.0}, {"Marital_Status": "In Relationship", "total_measure": 337.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..33888f8be36e444f46540e178a6f49983b5a6411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_11a6c0b0473fea94 +-- problem_id: v2p_m1_c90ebdc632feb89c +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..04859e049c00026e82350c9dc9e34a7e89e711c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/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 \"Marital_Status\", SUM(CAST(\"WFH_Days_Per_Week\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Marital_Status\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Marital_Status\\\", SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Marital_Status\", \"total_measure\"], \"rows\": [{\"Marital_Status\": \"Married\", \"total_measure\": 2187.0}, {\"Marital_Status\": \"Single\", \"total_measure\": 1202.0}, {\"Marital_Status\": \"Divorced\", \"total_measure\": 560.0}, {\"Marital_Status\": \"In Relationship\", \"total_measure\": 337.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f8447d0e9462567e0877e7284878fad5bfb1032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:28:52.624831+00:00", + "ended_at": "2026-05-19T15:29:03.855094+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_11a6c0b0473fea94", + "problem_id": "v2p_m1_c90ebdc632feb89c", + "dataset_id": "m1", + "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=Marital_Status, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Marital_Status", + "measure_col": "WFH_Days_Per_Week", + "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": 4.0, + "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_a/m1/sql/v2q_m1_11a6c0b0473fea94.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_11a6c0b0473fea94", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 4480, + "output_tokens": 423, + "total_tokens": 17116, + "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": 11225.11, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/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_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3073808a8ea7940f9cf2a7d012adbde900e9eb2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:03.852730+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": 11225.11, "started_at": "2026-05-19T15:28:52.626175+00:00", "ended_at": "2026-05-19T15:29:03.851307+00:00", "prompt_metrics": {"chars": 16347, "bytes_utf8": 16347, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 425, "bytes_utf8": 425, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16693, "cached_input_tokens": 4480, "output_tokens": 423, "reasoning_output_tokens": 308}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Marital_Status\\\", SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided grouped numeric sum template with \\\"Marital_Status\\\" as the grouping column and \\\"WFH_Days_Per_Week\\\" as the measure. CAST to REAL is used because the schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50a79cd82670608df7ee0936b1bb59e35cbf4214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_11a6c0b0473fea94", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 4480, + "output_tokens": 423, + "total_tokens": 17116, + "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": 11225.11, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11a6c0b0473fea94/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_a/m1/artifacts/v2q_m1_11b6612b4f30770f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11b6612b4f30770f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5f74f20706d067154f0ccf87b282dd633eb52fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11b6612b4f30770f/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:22.710689+00:00", + "ended_at": "2026-05-19T16:06:30.861295+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_11b6612b4f30770f", + "problem_id": "v2p_m1_46a8fd054a42e53f", + "dataset_id": "m1", + "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=Age.", + "bindings": { + "measure_col": "Age", + "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": 41.0, + "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=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_a/m1/artifacts/v2q_m1_11b6612b4f30770f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11b6612b4f30770f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c8e893ea7fec38279d64a1ae88285a4f8a14087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_11b6612b4f30770f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:26.990544+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": 4277.21, "started_at": "2026-05-19T16:06:22.712207+00:00", "ended_at": "2026-05-19T16:06:26.989445+00:00", "prompt_metrics": {"chars": 16245, "bytes_utf8": 16245, "lines": 454, "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\":\"019e40fd-000d-7260-87ee-eb6638054cb8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:30.861203+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": 2868.02, "started_at": "2026-05-19T16:06:27.992388+00:00", "ended_at": "2026-05-19T16:06:30.860455+00:00", "prompt_metrics": {"chars": 16245, "bytes_utf8": 16245, "lines": 454, "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\":\"019e40fd-14a2-7b60-a523-f2e3f5160dc1\"}\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_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5a33b8b5b09f5d8bdaa3e88efb98bd380de1579 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/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=Team_Collaboration_Frequency, measure_col=Years_Experience. +Result preview: [{"Team_Collaboration_Frequency": "Daily", "Quality_Score": "100.0", "total_measure": 444.0, "share_within_group": 19.654714475431607}, {"Team_Collaboration_Frequency": "Weekly", "Quality_Score": "100.0", "total_measure": 298.0, "share_within_group": 18.64831038798498}, {"Team_Collaboration_Frequency": "Few times per week", "Quality_Score": "100.0", "total_measure": 393.0, "share_within_group": 18.59035004730369}, {"Team_Collaboration_Frequency": "Monthly", "Quality_Score": "100.0", "total_measure": 47.0, "share_within_group": 13.314447592067989}, {"Team_Collaboration_Frequency": "Bi-weekly", "Quality_Score": "100.0", "total_measure": 75.0, "share_within_group": 13.204225352112676}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6751d8fef9bc2642a681c3abcefbe261d8050098 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_125f5b1eba679c5e +-- problem_id: v2p_m1_cab9f4ffb472446c +-- realization_mode: agent +-- source_kind: agent +SELECT + "Team_Collaboration_Frequency", + "Quality_Score", + SUM(CAST("Years_Experience" AS REAL)) AS total_measure, + SUM(CAST("Years_Experience" AS REAL)) * 100.0 / SUM(SUM(CAST("Years_Experience" AS REAL))) OVER (PARTITION BY "Team_Collaboration_Frequency") AS share_within_group +FROM "m1" +GROUP BY "Team_Collaboration_Frequency", "Quality_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a213f3ad9025aecae951969b6ded6f71f9e12aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/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 \"Team_Collaboration_Frequency\",\n \"Quality_Score\",\n SUM(CAST(\"Years_Experience\" AS REAL)) AS total_measure,\n SUM(CAST(\"Years_Experience\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Years_Experience\" AS REAL))) OVER (PARTITION BY \"Team_Collaboration_Frequency\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Team_Collaboration_Frequency\", \"Quality_Score\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n \\\"Quality_Score\\\",\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Years_Experience\\\" AS REAL))) OVER (PARTITION BY \\\"Team_Collaboration_Frequency\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\", \\\"Quality_Score\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"Quality_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Daily\", \"Quality_Score\": \"100.0\", \"total_measure\": 444.0, \"share_within_group\": 19.654714475431607}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"100.0\", \"total_measure\": 298.0, \"share_within_group\": 18.64831038798498}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"100.0\", \"total_measure\": 393.0, \"share_within_group\": 18.59035004730369}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"100.0\", \"total_measure\": 47.0, \"share_within_group\": 13.314447592067989}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"100.0\", \"total_measure\": 75.0, \"share_within_group\": 13.204225352112676}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"94.0\", \"total_measure\": 23.0, \"share_within_group\": 6.515580736543909}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"80.9\", \"total_measure\": 20.0, \"share_within_group\": 5.665722379603399}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"91.6\", \"total_measure\": 24.0, \"share_within_group\": 4.225352112676056}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"96.1\", \"total_measure\": 24.0, \"share_within_group\": 4.225352112676056}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"62.2\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"88.8\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"90.2\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.8\", \"total_measure\": 11.0, \"share_within_group\": 3.1161473087818696}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"93.3\", \"total_measure\": 11.0, \"share_within_group\": 3.1161473087818696}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"67.6\", \"total_measure\": 10.0, \"share_within_group\": 2.8328611898016995}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.3\", \"total_measure\": 10.0, \"share_within_group\": 2.8328611898016995}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"96.7\", \"total_measure\": 45.0, \"share_within_group\": 2.816020025031289}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"94.1\", \"total_measure\": 42.0, \"share_within_group\": 2.6282853566958697}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"70.6\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"87.3\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"92.3\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"98.6\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"87.0\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"93.5\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"98.9\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"97.0\", \"total_measure\": 49.0, \"share_within_group\": 2.3178807947019866}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"82.1\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"93.1\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"94.7\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"97.7\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"99.3\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"80.0\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"82.4\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.5\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"93.9\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"95.3\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"87.2\", \"total_measure\": 12.0, \"share_within_group\": 2.112676056338028}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"95.7\", \"total_measure\": 12.0, \"share_within_group\": 2.112676056338028}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"92.0\", \"total_measure\": 32.0, \"share_within_group\": 2.002503128911139}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"55.8\", \"total_measure\": 7.0, \"share_within_group\": 1.9830028328611897}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"84.4\", \"total_measure\": 7.0, \"share_within_group\": 1.9830028328611897}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"86.9\", \"total_measure\": 11.0, \"share_within_group\": 1.9366197183098592}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"88.1\", \"total_measure\": 11.0, \"share_within_group\": 1.9366197183098592}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"84.4\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"88.8\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"99.6\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"94.0\", \"total_measure\": 36.0, \"share_within_group\": 1.7029328287606433}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"72.4\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"81.5\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"85.3\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8c25c15314eb69e4adf27210568a54ef6a764bb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:36:28.408986+00:00", + "ended_at": "2026-05-19T15:36:42.562342+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_125f5b1eba679c5e", + "problem_id": "v2p_m1_cab9f4ffb472446c", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency, measure_col=Years_Experience.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "measure_col": "Years_Experience", + "item_col": "Quality_Score", + "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": 7.0, + "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_a/m1/sql/v2q_m1_125f5b1eba679c5e.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_125f5b1eba679c5e", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 15744, + "output_tokens": 704, + "total_tokens": 17514, + "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": 14136.92, + "sql_execution_elapsed_ms_total": 9.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/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_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75443f9e8922722bfeb27016bf2caf9af8ae986c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:42.549802+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": 14136.92, "started_at": "2026-05-19T15:36:28.411215+00:00", "ended_at": "2026-05-19T15:36:42.548182+00:00", "prompt_metrics": {"chars": 16783, "bytes_utf8": 16783, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16810, "cached_input_tokens": 15744, "output_tokens": 704, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n \\\"Quality_Score\\\",\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Years_Experience\\\" AS REAL))) OVER (PARTITION BY \\\"Team_Collaboration_Frequency\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\", \\\"Quality_Score\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the fixed template bindings exactly: group_col=Team_Collaboration_Frequency, item_col=Quality_Score, measure_col=Years_Experience. Cast Years_Experience to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..453974d1f3a9df1c39d54026f5e3f535a1c2ada2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_125f5b1eba679c5e", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 15744, + "output_tokens": 704, + "total_tokens": 17514, + "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": 14136.92, + "sql_execution_elapsed_ms_total": 9.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_125f5b1eba679c5e/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_a/m1/artifacts/v2q_m1_139036e5df54854f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_139036e5df54854f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0cfaa475693e1ef24ac04451b5cce1d85a2afd48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_139036e5df54854f/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:04:10.840788+00:00", + "ended_at": "2026-05-19T16:04:19.395398+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_139036e5df54854f", + "problem_id": "v2p_m1_2c3a0e6ba9417082", + "dataset_id": "m1", + "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=Survey_Date, condition_col=Internet_Speed_Category.", + "bindings": { + "group_col": "Survey_Date", + "condition_col": "Internet_Speed_Category", + "condition_value": "Very Fast (100+ Mbps)", + "positive_value": "Very Fast (100+ Mbps)", + "negative_value": "Fast (50-100 Mbps)", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_139036e5df54854f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_139036e5df54854f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0567ad7b78c2bb8299e348dac8367d711f648b1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_139036e5df54854f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:15.272571+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": 4429.68, "started_at": "2026-05-19T16:04:10.842074+00:00", "ended_at": "2026-05-19T16:04:15.271782+00:00", "prompt_metrics": {"chars": 16660, "bytes_utf8": 16660, "lines": 459, "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\":\"019e40fa-fcf1-7880-8df7-f2dd6fa927bd\"}\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": "2026-05-19T16:04:19.395305+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": 3120.82, "started_at": "2026-05-19T16:04:16.273658+00:00", "ended_at": "2026-05-19T16:04:19.394508+00:00", "prompt_metrics": {"chars": 16660, "bytes_utf8": 16660, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-123c-74f3-bd28-6fd76a646857\"}\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_a/m1/artifacts/v2q_m1_1401ef72a5912839/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1401ef72a5912839/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ef8e96d9fdaf463f78e140d4e1d847cf9a9503c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1401ef72a5912839/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:01.102752+00:00", + "ended_at": "2026-05-19T16:11:08.371062+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1401ef72a5912839", + "problem_id": "v2p_m1_a896d787eee97675", + "dataset_id": "m1", + "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=Has_Children, measure_col=Work_Life_Balance.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Work_Life_Balance", + "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": 8.0, + "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=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1401ef72a5912839/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1401ef72a5912839/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f451eb4eb2b60d9b86802b0b021304d75c9e0e03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1401ef72a5912839/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:04.442935+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": 3337.64, "started_at": "2026-05-19T16:11:01.104498+00:00", "ended_at": "2026-05-19T16:11:04.442167+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "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\":\"019e4101-3f94-7f61-a51c-5a2f54b9dda6\"}\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": "2026-05-19T16:11:08.370961+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": 2926.19, "started_at": "2026-05-19T16:11:05.443960+00:00", "ended_at": "2026-05-19T16:11:08.370180+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "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\":\"019e4101-5062-73f0-af23-d79354d3ea57\"}\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_a/m1/artifacts/v2q_m1_14061aef2f48765b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14061aef2f48765b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d567b1b4d5e7cf5c8c764fa404e679a3b7c7c5ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14061aef2f48765b/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:34.095149+00:00", + "ended_at": "2026-05-19T16:03:41.419306+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_14061aef2f48765b", + "problem_id": "v2p_m1_bf3c7e6c36f8aa06", + "dataset_id": "m1", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Stress_Level, condition_col=Company_Size.", + "bindings": { + "group_col": "Stress_Level", + "condition_col": "Company_Size", + "condition_value": "Medium (201-1000)", + "positive_value": "Large (1001-5000)", + "negative_value": "Medium (201-1000)", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 41.0, + "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=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "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_a/m1/artifacts/v2q_m1_14061aef2f48765b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14061aef2f48765b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae5ec154a320abfeed910e55f7b2ead53a6ca1e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14061aef2f48765b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:37.315348+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": 3215.23, "started_at": "2026-05-19T16:03:34.099127+00:00", "ended_at": "2026-05-19T16:03:37.314400+00:00", "prompt_metrics": {"chars": 16629, "bytes_utf8": 16629, "lines": 459, "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\":\"019e40fa-6d4f-7da2-9375-c09246732faf\"}\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": "2026-05-19T16:03:41.419207+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": 3100.76, "started_at": "2026-05-19T16:03:38.317637+00:00", "ended_at": "2026-05-19T16:03:41.418441+00:00", "prompt_metrics": {"chars": 16629, "bytes_utf8": 16629, "lines": 459, "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\":\"019e40fa-7de5-72c0-86f2-e88552d748da\"}\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_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..33159aa0612e517f148470930d48421af253a21f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/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=Has_Children, measure_col=Productivity_Score. +Result preview: [{"Has_Children": "No", "percentile_measure": 98.0}, {"Has_Children": "Yes", "percentile_measure": 98.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0713c2acef4704b1566ee94aed45404218834d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_14e94e8b2ecb8e75 +-- problem_id: v2p_m1_aad1dcdc77ccdb0d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Has_Children", + CAST("Productivity_Score" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Has_Children" + ORDER BY CAST("Productivity_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Has_Children") AS "cnt" + FROM "m1" + WHERE "Has_Children" IS NOT NULL + AND "Productivity_Score" IS NOT NULL +), +"positions" AS ( + SELECT + "Has_Children", + (("cnt" - 1) * 0.9) + 1.0 AS "pos", + CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) AS "lo_rn", + CASE + WHEN ((("cnt" - 1) * 0.9) + 1.0) = CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + THEN CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + ELSE CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + GROUP BY "Has_Children", "cnt" +), +"picked" AS ( + SELECT + p."Has_Children", + p."pos", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure_value" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure_value" END) AS "hi_val" + FROM "positions" p + JOIN "ranked" r + ON r."Has_Children" = p."Has_Children" + GROUP BY p."Has_Children", p."pos", p."lo_rn", p."hi_rn" +) +SELECT + "Has_Children", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + (("pos" - "lo_rn") * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a58454884ce02c2e7998597e02e68e218d69d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/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 \"Has_Children\",\n CAST(\"Productivity_Score\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Has_Children\"\n ORDER BY CAST(\"Productivity_Score\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Has_Children\") AS \"cnt\"\n FROM \"m1\"\n WHERE \"Has_Children\" IS NOT NULL\n AND \"Productivity_Score\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"Has_Children\",\n ((\"cnt\" - 1) * 0.9) + 1.0 AS \"pos\",\n CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (((\"cnt\" - 1) * 0.9) + 1.0) = CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n THEN CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER)\n ELSE CAST(((\"cnt\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ranked\"\n GROUP BY \"Has_Children\", \"cnt\"\n),\n\"picked\" AS (\n SELECT\n p.\"Has_Children\",\n p.\"pos\",\n p.\"lo_rn\",\n p.\"hi_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lo_rn\" THEN r.\"measure_value\" END) AS \"lo_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"hi_rn\" THEN r.\"measure_value\" END) AS \"hi_val\"\n FROM \"positions\" p\n JOIN \"ranked\" r\n ON r.\"Has_Children\" = p.\"Has_Children\"\n GROUP BY p.\"Has_Children\", p.\"pos\", p.\"lo_rn\", p.\"hi_rn\"\n)\nSELECT\n \"Has_Children\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + ((\"pos\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n CAST(\\\"Productivity_Score\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ORDER BY CAST(\\\"Productivity_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Has_Children\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Has_Children\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) = CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"Has_Children\\\", \\\"cnt\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"Has_Children\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lo_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"hi_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"positions\\\" p\\n JOIN \\\"ranked\\\" r\\n ON r.\\\"Has_Children\\\" = p.\\\"Has_Children\\\"\\n GROUP BY p.\\\"Has_Children\\\", p.\\\"pos\\\", p.\\\"lo_rn\\\", p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"Has_Children\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + ((\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Has_Children\", \"percentile_measure\"], \"rows\": [{\"Has_Children\": \"No\", \"percentile_measure\": 98.0}, {\"Has_Children\": \"Yes\", \"percentile_measure\": 98.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a87fd39caea5a587de41aaf2570a0704dde381de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:56:58.565082+00:00", + "ended_at": "2026-05-19T15:57:16.199468+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_14e94e8b2ecb8e75", + "problem_id": "v2p_m1_aad1dcdc77ccdb0d", + "dataset_id": "m1", + "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=Has_Children, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Productivity_Score", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 94.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_14e94e8b2ecb8e75.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_14e94e8b2ecb8e75", + "api_calls": 0, + "input_tokens": 16725, + "cached_input_tokens": 15744, + "output_tokens": 1178, + "total_tokens": 17903, + "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": 17613.48, + "sql_execution_elapsed_ms_total": 14.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/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_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd4adf19f75382e6a9fc5e91ff3250ce3194d9e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:16.181983+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": 17613.48, "started_at": "2026-05-19T15:56:58.566806+00:00", "ended_at": "2026-05-19T15:57:16.180321+00:00", "prompt_metrics": {"chars": 16525, "bytes_utf8": 16525, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1952, "bytes_utf8": 1952, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16725, "cached_input_tokens": 15744, "output_tokens": 1178, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n CAST(\\\"Productivity_Score\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ORDER BY CAST(\\\"Productivity_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Has_Children\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Has_Children\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) = CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n THEN CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER)\\n ELSE CAST(((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"Has_Children\\\", \\\"cnt\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"Has_Children\\\",\\n p.\\\"pos\\\",\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be6eac5981f426e8d3e9f1d5e4cc5210e7e36107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_14e94e8b2ecb8e75", + "api_calls": 0, + "input_tokens": 16725, + "cached_input_tokens": 15744, + "output_tokens": 1178, + "total_tokens": 17903, + "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": 17613.48, + "sql_execution_elapsed_ms_total": 14.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_14e94e8b2ecb8e75/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_a/m1/artifacts/v2q_m1_152b965f79f7457a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b29f5aeee5a4c0d3313ee3ea3495ff39a911df12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Daily", "support": 510, "support_share": 0.34, "support_rank": 1}, {"value_label": "Few times per week", "support": 445, "support_share": 0.2966666666666667, "support_rank": 2}, {"value_label": "Weekly", "support": 340, "support_share": 0.22666666666666666, "support_rank": 3}, {"value_label": "Bi-weekly", "support": 131, "support_share": 0.08733333333333333, "support_rank": 4}, {"value_label": "Monthly", "support": 74, "support_share": 0.04933333333333333, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fd41de0f54738d2913feef2e713e281bd52b71cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_152b965f79f7457a +-- problem_id: v2p_m1_0cb07f0e9d1231d1 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Team_Collaboration_Frequency" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Team_Collaboration_Frequency" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e4b3e78cc5d0aca61f2e6cfcdcaa7708cb99478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_152b965f79f7457a\n-- problem_id: v2p_m1_0cb07f0e9d1231d1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Team_Collaboration_Frequency\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Team_Collaboration_Frequency\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_152b965f79f7457a\\n-- problem_id: v2p_m1_0cb07f0e9d1231d1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Team_Collaboration_Frequency\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Team_Collaboration_Frequency\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Daily\", \"support\": 510, \"support_share\": 0.34, \"support_rank\": 1}, {\"value_label\": \"Few times per week\", \"support\": 445, \"support_share\": 0.2966666666666667, \"support_rank\": 2}, {\"value_label\": \"Weekly\", \"support\": 340, \"support_share\": 0.22666666666666666, \"support_rank\": 3}, {\"value_label\": \"Bi-weekly\", \"support\": 131, \"support_share\": 0.08733333333333333, \"support_rank\": 4}, {\"value_label\": \"Monthly\", \"support\": 74, \"support_share\": 0.04933333333333333, \"support_rank\": 5}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0fdb014e208ec23d042b41b1777de615fc91e3e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.296798+00:00", + "ended_at": "2026-05-19T16:11:34.298289+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_152b965f79f7457a", + "problem_id": "v2p_m1_0cb07f0e9d1231d1", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Team_Collaboration_Frequency" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_152b965f79f7457a.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_a/m1/artifacts/v2q_m1_152b965f79f7457a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_152b965f79f7457a/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_a/m1/artifacts/v2q_m1_15ba276ac92518aa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a94142ff873fde75babec5957f10fbfc527de01e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/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=Has_Children, group_col_2=Survey_Date. +Result preview: [{"Has_Children": "No", "Survey_Date": "2024-05-04", "row_count": 14}, {"Has_Children": "Yes", "Survey_Date": "2024-05-04", "row_count": 8}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..174249ad3067f02956efb1f8589472ac8e4515a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_15ba276ac92518aa +-- problem_id: v2p_m1_046e536d80eee221 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Survey_Date", COUNT(*) AS row_count +FROM "m1" +WHERE "Survey_Date" = '2024-05-04' +GROUP BY "Has_Children", "Survey_Date" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d3bc7231e1a9eefb6b97cd519056a55c589f7c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/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 \"Has_Children\", \"Survey_Date\", COUNT(*) AS row_count\nFROM \"m1\"\nWHERE \"Survey_Date\" = '2024-05-04'\nGROUP BY \"Has_Children\", \"Survey_Date\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Survey_Date\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE \\\"Survey_Date\\\" = '2024-05-04'\\nGROUP BY \\\"Has_Children\\\", \\\"Survey_Date\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Has_Children\", \"Survey_Date\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Survey_Date\": \"2024-05-04\", \"row_count\": 14}, {\"Has_Children\": \"Yes\", \"Survey_Date\": \"2024-05-04\", \"row_count\": 8}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5ac72c5431c488e88bf247d408cffd4a15b5fb52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:44:13.630936+00:00", + "ended_at": "2026-05-19T15:44:33.462356+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_15ba276ac92518aa", + "problem_id": "v2p_m1_046e536d80eee221", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Survey_Date.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Survey_Date", + "predicate_col": "Survey_Date", + "predicate_op": "=", + "predicate_value": "2024-05-04", + "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": 41.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_15ba276ac92518aa.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_15ba276ac92518aa", + "api_calls": 0, + "input_tokens": 16780, + "cached_input_tokens": 15744, + "output_tokens": 436, + "total_tokens": 17216, + "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": 19827.27, + "sql_execution_elapsed_ms_total": 0.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/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_a/m1/artifacts/v2q_m1_15ba276ac92518aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..137c92488416bb99c579064647a67c1188a6ead3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:33.460363+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": 19827.27, "started_at": "2026-05-19T15:44:13.632226+00:00", "ended_at": "2026-05-19T15:44:33.459524+00:00", "prompt_metrics": {"chars": 16653, "bytes_utf8": 16653, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16780, "cached_input_tokens": 15744, "output_tokens": 436, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Survey_Date\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE \\\"Survey_Date\\\" = '2024-05-04'\\nGROUP BY \\\"Has_Children\\\", \\\"Survey_Date\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group count template with \\\"Has_Children\\\" and \\\"Survey_Date\\\", filtered to rows where \\\"Survey_Date\\\" = '2024-05-04'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4244cfb014c460ef8c8537ce073abdb61937bf82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_15ba276ac92518aa", + "api_calls": 0, + "input_tokens": 16780, + "cached_input_tokens": 15744, + "output_tokens": 436, + "total_tokens": 17216, + "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": 19827.27, + "sql_execution_elapsed_ms_total": 0.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_15ba276ac92518aa/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_a/m1/artifacts/v2q_m1_1643609133d9f240/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..755e2db1fcda5b2d93c0b62379e853dd6de0da80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_1643609133d9f240 +-- problem_id: v2p_m1_b5e86d8f3f475504 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Employee_ID", + COUNT(*) AS support, + AVG("Work_Hours_Per_Week") AS avg_response +FROM "m1" +GROUP BY "Employee_ID" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5e463c8277066d484fb23271d674b00a39593bca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_1643609133d9f240\n-- problem_id: v2p_m1_b5e86d8f3f475504\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Employee_ID\",\n COUNT(*) AS support,\n AVG(\"Work_Hours_Per_Week\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Employee_ID\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_1643609133d9f240\\n-- problem_id: v2p_m1_b5e86d8f3f475504\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Employee_ID\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Work_Hours_Per_Week\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Employee_ID\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Employee_ID\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f1b1d61944725d2d9be9d0ee8d231d3ce950cbca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.305225+00:00", + "ended_at": "2026-05-19T16:11:34.306692+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1643609133d9f240", + "problem_id": "v2p_m1_b5e86d8f3f475504", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Work_Hours_Per_Week, key_col=Employee_ID.", + "bindings": { + "key_col": "Employee_ID", + "measure_col": "Work_Hours_Per_Week", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1643609133d9f240.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_a/m1/artifacts/v2q_m1_1643609133d9f240/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1643609133d9f240/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_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0880b0758d3abb53fc9f900b777cad3d0e3181fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/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=Education_Level, measure_col=WFH_Days_Per_Week. +Result preview: [{"Education_Level": "Associate Degree", "percentile_measure": 5.0}, {"Education_Level": "Bachelor Degree", "percentile_measure": 5.0}, {"Education_Level": "High School", "percentile_measure": 5.0}, {"Education_Level": "Master Degree", "percentile_measure": 5.0}, {"Education_Level": "PhD", "percentile_measure": 5.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..86008333a56433f0580fabbf276f411505dd9863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/generated_sql.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_17bd5a0052c8c6ae +-- problem_id: v2p_m1_99ec91ea4e723b63 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Education_Level" AS "group_col", + CAST("WFH_Days_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Education_Level" + ORDER BY CAST("WFH_Days_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Education_Level" + ) AS "cnt" + FROM "m1" + WHERE "Education_Level" IS NOT NULL + AND "WFH_Days_Per_Week" IS NOT NULL + AND TRIM("Education_Level") <> '' + AND TRIM("WFH_Days_Per_Week") <> '' +), +"targets" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) = CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + THEN CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + ELSE CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + 1 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +), +"bounds" AS ( + SELECT + "t"."group_col", + "t"."pos", + "t"."lower_rn", + "t"."upper_rn", + "lo"."measure_value" AS "lower_val", + "hi"."measure_value" AS "upper_val" + FROM "targets" AS "t" + JOIN "ordered" AS "lo" + ON "lo"."group_col" = "t"."group_col" + AND "lo"."rn" = "t"."lower_rn" + JOIN "ordered" AS "hi" + ON "hi"."group_col" = "t"."group_col" + AND "hi"."rn" = "t"."upper_rn" +) +SELECT + "group_col" AS "Education_Level", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC, "Education_Level" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d66179bf7bc947a8bf439551008ee2969537aec6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Education_Level\" AS \"group_col\",\n CAST(\"WFH_Days_Per_Week\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Education_Level\"\n ORDER BY CAST(\"WFH_Days_Per_Week\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Education_Level\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Education_Level\" IS NOT NULL\n AND \"WFH_Days_Per_Week\" IS NOT NULL\n AND TRIM(\"Education_Level\") <> ''\n AND TRIM(\"WFH_Days_Per_Week\") <> ''\n),\n\"targets\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.9) AS \"pos\",\n CAST((1.0 + (\"cnt\" - 1) * 0.9) AS INT) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.9) = CAST((1.0 + (\"cnt\" - 1) * 0.9) AS INT)\n THEN CAST((1.0 + (\"cnt\" - 1) * 0.9) AS INT)\n ELSE CAST((1.0 + (\"cnt\" - 1) * 0.9) AS INT) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"bounds\" AS (\n SELECT\n \"t\".\"group_col\",\n \"t\".\"pos\",\n \"t\".\"lower_rn\",\n \"t\".\"upper_rn\",\n \"lo\".\"measure_value\" AS \"lower_val\",\n \"hi\".\"measure_value\" AS \"upper_val\"\n FROM \"targets\" AS \"t\"\n JOIN \"ordered\" AS \"lo\"\n ON \"lo\".\"group_col\" = \"t\".\"group_col\"\n AND \"lo\".\"rn\" = \"t\".\"lower_rn\"\n JOIN \"ordered\" AS \"hi\"\n ON \"hi\".\"group_col\" = \"t\".\"group_col\"\n AND \"hi\".\"rn\" = \"t\".\"upper_rn\"\n)\nSELECT\n \"group_col\" AS \"Education_Level\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC, \"Education_Level\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Education_Level\\\" AS \\\"group_col\\\",\\n CAST(\\\"WFH_Days_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ORDER BY CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Education_Level\\\" IS NOT NULL\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Education_Level\\\") <> ''\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\n),\\n\\\"targets\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"t\\\".\\\"group_col\\\",\\n \\\"t\\\".\\\"pos\\\",\\n \\\"t\\\".\\\"lower_rn\\\",\\n \\\"t\\\".\\\"upper_rn\\\",\\n \\\"lo\\\".\\\"measure_value\\\" AS \\\"lower_val\\\",\\n \\\"hi\\\".\\\"measure_value\\\" AS \\\"upper_val\\\"\\n FROM \\\"targets\\\" AS \\\"t\\\"\\n JOIN \\\"ordered\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"group_col\\\" = \\\"t\\\".\\\"group_col\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"t\\\".\\\"lower_rn\\\"\\n JOIN \\\"ordered\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"group_col\\\" = \\\"t\\\".\\\"group_col\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"t\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"Education_Level\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Education_Level\\\" ASC;\", \"columns\": [\"Education_Level\", \"percentile_measure\"], \"rows\": [{\"Education_Level\": \"Associate Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Bachelor Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"High School\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Master Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"PhD\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Professional Degree\", \"percentile_measure\": 5.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..61411d6b7071f81963ba5853154c76d5029eda51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:54:37.314869+00:00", + "ended_at": "2026-05-19T15:55:27.828510+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_17bd5a0052c8c6ae", + "problem_id": "v2p_m1_99ec91ea4e723b63", + "dataset_id": "m1", + "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=Education_Level, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "WFH_Days_Per_Week", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "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=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "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_a/m1/sql/v2q_m1_17bd5a0052c8c6ae.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_17bd5a0052c8c6ae", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 3116, + "total_tokens": 19845, + "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": 49495.78, + "sql_execution_elapsed_ms_total": 8.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/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_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d40d106014dd8ca9833996a0b3491554a18dbfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:40.264389+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": 2946.11, "started_at": "2026-05-19T15:54:37.316723+00:00", "ended_at": "2026-05-19T15:54:40.262868+00:00", "prompt_metrics": {"chars": 16528, "bytes_utf8": 16528, "lines": 456, "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\":\"019e40f2-3c9b-7a62-8563-c0a4a6676932\"}\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": "2026-05-19T15:55:27.817585+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": 46549.67, "started_at": "2026-05-19T15:54:41.266541+00:00", "ended_at": "2026-05-19T15:55:27.816253+00:00", "prompt_metrics": {"chars": 16528, "bytes_utf8": 16528, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 2106, "bytes_utf8": 2106, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16729, "cached_input_tokens": 15744, "output_tokens": 3116, "reasoning_output_tokens": 2388}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Education_Level\\\" AS \\\"group_col\\\",\\n CAST(\\\"WFH_Days_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ORDER BY CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Education_Level\\\" IS NOT NULL\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Education_Level\\\") <> ''\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\n),\\n\\\"targets\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.9) AS INT) + 1\\n END AS \\\"upper_rn\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e271deb4f75e828984f2615c20971a13c91f8ccf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_17bd5a0052c8c6ae", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 3116, + "total_tokens": 19845, + "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": 49495.78, + "sql_execution_elapsed_ms_total": 8.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_17bd5a0052c8c6ae/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_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a526d3c6edae4b89d5fd81f859e1b1132468a583 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Meetings_Per_Week. +Result preview: [{"Meetings_Per_Week": 19.0}, {"Meetings_Per_Week": 19.0}, {"Meetings_Per_Week": 18.0}, {"Meetings_Per_Week": 18.0}, {"Meetings_Per_Week": 17.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..915606bcb0d5d85e84b3253d923a35ee746b8b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_187cf7cd3ad6f77b +-- problem_id: v2p_m1_755fdeb17a29c798 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("Meetings_Per_Week" AS REAL) AS "Meetings_Per_Week", + NTILE(10) OVER (ORDER BY CAST("Meetings_Per_Week" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Meetings_Per_Week" IS NOT NULL +) +SELECT "Meetings_Per_Week" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "Meetings_Per_Week" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bf2601d4d373cb92fd2bdf96ff16263c22f871b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"Meetings_Per_Week\" AS REAL) AS \"Meetings_Per_Week\",\n NTILE(10) OVER (ORDER BY CAST(\"Meetings_Per_Week\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n WHERE \"Meetings_Per_Week\" IS NOT NULL\n)\nSELECT \"Meetings_Per_Week\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"Meetings_Per_Week\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"Meetings_Per_Week\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Meetings_Per_Week\\\" IS NOT NULL\\n)\\nSELECT \\\"Meetings_Per_Week\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Meetings_Per_Week\\\" DESC;\", \"columns\": [\"Meetings_Per_Week\"], \"rows\": [{\"Meetings_Per_Week\": 19.0}, {\"Meetings_Per_Week\": 19.0}, {\"Meetings_Per_Week\": 18.0}, {\"Meetings_Per_Week\": 18.0}, {\"Meetings_Per_Week\": 17.0}, {\"Meetings_Per_Week\": 17.0}, {\"Meetings_Per_Week\": 17.0}, {\"Meetings_Per_Week\": 16.0}, {\"Meetings_Per_Week\": 16.0}, {\"Meetings_Per_Week\": 16.0}, {\"Meetings_Per_Week\": 16.0}, {\"Meetings_Per_Week\": 16.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 15.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}, {\"Meetings_Per_Week\": 14.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7609001ae2b9920c7affe218f6c5e00a37f650f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:46:01.618474+00:00", + "ended_at": "2026-05-19T15:46:13.278380+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_187cf7cd3ad6f77b", + "problem_id": "v2p_m1_755fdeb17a29c798", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Meetings_Per_Week.", + "bindings": { + "measure_col": "Meetings_Per_Week", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 10.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_187cf7cd3ad6f77b.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_187cf7cd3ad6f77b", + "api_calls": 0, + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 521, + "total_tokens": 17261, + "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": 11647.9, + "sql_execution_elapsed_ms_total": 5.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/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_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e14558543c0630ffa76c1523780b5ac5aa82e6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:13.270605+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": 11647.9, "started_at": "2026-05-19T15:46:01.621168+00:00", "ended_at": "2026-05-19T15:46:13.269117+00:00", "prompt_metrics": {"chars": 16506, "bytes_utf8": 16506, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 623, "bytes_utf8": 623, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16740, "cached_input_tokens": 12032, "output_tokens": 521, "reasoning_output_tokens": 343}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"Meetings_Per_Week\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Meetings_Per_Week\\\" IS NOT NULL\\n)\\nSELECT \\\"Meetings_Per_Week\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Meetings_Per_Week\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with \\\"Meetings_Per_Week\\\" as the measure column and 10 tiles, returning the top decile. Cast to REAL because the SQLite schema stores this field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5acc7b66a21f17cd951844d20ec978d868dd50cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_187cf7cd3ad6f77b", + "api_calls": 0, + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 521, + "total_tokens": 17261, + "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": 11647.9, + "sql_execution_elapsed_ms_total": 5.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_187cf7cd3ad6f77b/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_a/m1/artifacts/v2q_m1_1a136c8908966a3a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8674fd7e513e74e25ce9a6026f50e93e918501eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Commute_Time_Minutes": "0", "support": 266, "avg_response": 35.20676691729323}, {"Commute_Time_Minutes": "23", "support": 37, "avg_response": 34.75675675675676}, {"Commute_Time_Minutes": "31", "support": 35, "avg_response": 32.77142857142857}, {"Commute_Time_Minutes": "34", "support": 33, "avg_response": 37.0}, {"Commute_Time_Minutes": "21", "support": 33, "avg_response": 36.27272727272727}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a24216632669e7b8bfe00ee339bcfad1fcdd59a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_1a136c8908966a3a +-- problem_id: v2p_m1_b7d18ac724d0388b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Commute_Time_Minutes", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Commute_Time_Minutes" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8cbf3103958d0d3297cac05d0d151b9b3b580469 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_1a136c8908966a3a\n-- problem_id: v2p_m1_b7d18ac724d0388b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Commute_Time_Minutes\",\n COUNT(*) AS support,\n AVG(\"Age\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Commute_Time_Minutes\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_1a136c8908966a3a\\n-- problem_id: v2p_m1_b7d18ac724d0388b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Commute_Time_Minutes\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Age\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Commute_Time_Minutes\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Commute_Time_Minutes\", \"support\", \"avg_response\"], \"rows\": [{\"Commute_Time_Minutes\": \"0\", \"support\": 266, \"avg_response\": 35.20676691729323}, {\"Commute_Time_Minutes\": \"23\", \"support\": 37, \"avg_response\": 34.75675675675676}, {\"Commute_Time_Minutes\": \"31\", \"support\": 35, \"avg_response\": 32.77142857142857}, {\"Commute_Time_Minutes\": \"34\", \"support\": 33, \"avg_response\": 37.0}, {\"Commute_Time_Minutes\": \"21\", \"support\": 33, \"avg_response\": 36.27272727272727}, {\"Commute_Time_Minutes\": \"30\", \"support\": 33, \"avg_response\": 34.75757575757576}, {\"Commute_Time_Minutes\": \"33\", \"support\": 33, \"avg_response\": 34.72727272727273}, {\"Commute_Time_Minutes\": \"25\", \"support\": 32, \"avg_response\": 36.78125}, {\"Commute_Time_Minutes\": \"26\", \"support\": 32, \"avg_response\": 35.28125}, {\"Commute_Time_Minutes\": \"32\", \"support\": 32, \"avg_response\": 34.59375}, {\"Commute_Time_Minutes\": \"29\", \"support\": 32, \"avg_response\": 34.34375}, {\"Commute_Time_Minutes\": \"37\", \"support\": 31, \"avg_response\": 35.483870967741936}, {\"Commute_Time_Minutes\": \"28\", \"support\": 30, \"avg_response\": 34.733333333333334}, {\"Commute_Time_Minutes\": \"13\", \"support\": 28, \"avg_response\": 36.964285714285715}, {\"Commute_Time_Minutes\": \"18\", \"support\": 28, \"avg_response\": 36.32142857142857}, {\"Commute_Time_Minutes\": \"16\", \"support\": 28, \"avg_response\": 32.964285714285715}, {\"Commute_Time_Minutes\": \"43\", \"support\": 27, \"avg_response\": 39.074074074074076}, {\"Commute_Time_Minutes\": \"15\", \"support\": 27, \"avg_response\": 35.666666666666664}, {\"Commute_Time_Minutes\": \"22\", \"support\": 27, \"avg_response\": 32.55555555555556}, {\"Commute_Time_Minutes\": \"17\", \"support\": 26, \"avg_response\": 35.15384615384615}, {\"Commute_Time_Minutes\": \"27\", \"support\": 26, \"avg_response\": 31.26923076923077}, {\"Commute_Time_Minutes\": \"39\", \"support\": 25, \"avg_response\": 37.84}, {\"Commute_Time_Minutes\": \"41\", \"support\": 25, \"avg_response\": 35.28}, {\"Commute_Time_Minutes\": \"20\", \"support\": 25, \"avg_response\": 34.6}, {\"Commute_Time_Minutes\": \"14\", \"support\": 22, \"avg_response\": 34.54545454545455}, {\"Commute_Time_Minutes\": \"35\", \"support\": 21, \"avg_response\": 34.523809523809526}, {\"Commute_Time_Minutes\": \"42\", \"support\": 21, \"avg_response\": 33.523809523809526}, {\"Commute_Time_Minutes\": \"19\", \"support\": 20, \"avg_response\": 36.65}, {\"Commute_Time_Minutes\": \"38\", \"support\": 20, \"avg_response\": 35.25}, {\"Commute_Time_Minutes\": \"44\", \"support\": 20, \"avg_response\": 34.7}, {\"Commute_Time_Minutes\": \"40\", \"support\": 20, \"avg_response\": 34.45}, {\"Commute_Time_Minutes\": \"24\", \"support\": 20, \"avg_response\": 34.3}, {\"Commute_Time_Minutes\": \"47\", \"support\": 19, \"avg_response\": 36.1578947368421}, {\"Commute_Time_Minutes\": \"48\", \"support\": 18, \"avg_response\": 33.888888888888886}, {\"Commute_Time_Minutes\": \"11\", \"support\": 17, \"avg_response\": 37.76470588235294}, {\"Commute_Time_Minutes\": \"46\", \"support\": 17, \"avg_response\": 37.64705882352941}, {\"Commute_Time_Minutes\": \"7\", \"support\": 17, \"avg_response\": 36.05882352941177}, {\"Commute_Time_Minutes\": \"12\", \"support\": 17, \"avg_response\": 34.0}, {\"Commute_Time_Minutes\": \"8\", \"support\": 16, \"avg_response\": 41.0}, {\"Commute_Time_Minutes\": \"36\", \"support\": 16, \"avg_response\": 35.4375}, {\"Commute_Time_Minutes\": \"6\", \"support\": 14, \"avg_response\": 37.642857142857146}, {\"Commute_Time_Minutes\": \"9\", \"support\": 14, \"avg_response\": 33.57142857142857}, {\"Commute_Time_Minutes\": \"5\", \"support\": 14, \"avg_response\": 33.5}, {\"Commute_Time_Minutes\": \"10\", \"support\": 12, \"avg_response\": 34.416666666666664}, {\"Commute_Time_Minutes\": \"53\", \"support\": 11, \"avg_response\": 36.36363636363637}, {\"Commute_Time_Minutes\": \"51\", \"support\": 11, \"avg_response\": 33.72727272727273}, {\"Commute_Time_Minutes\": \"49\", \"support\": 10, \"avg_response\": 38.3}, {\"Commute_Time_Minutes\": \"45\", \"support\": 10, \"avg_response\": 35.1}, {\"Commute_Time_Minutes\": \"57\", \"support\": 10, \"avg_response\": 34.2}, {\"Commute_Time_Minutes\": \"52\", \"support\": 9, \"avg_response\": 38.77777777777778}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ea1841cbe445bd1b1f9f7096e32c152fc41c5e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.324515+00:00", + "ended_at": "2026-05-19T16:11:34.326214+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1a136c8908966a3a", + "problem_id": "v2p_m1_b7d18ac724d0388b", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Age, key_col=Commute_Time_Minutes.", + "bindings": { + "key_col": "Commute_Time_Minutes", + "measure_col": "Age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a136c8908966a3a.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_a/m1/artifacts/v2q_m1_1a136c8908966a3a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1a136c8908966a3a/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_a/m1/artifacts/v2q_m1_1afaf01168c1270c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f1e2e479dda33224f0eb8622361d3bfb2cdc336 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/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=Has_Children, group_col_2=Internet_Speed_Category. +Result preview: [{"Has_Children": "No", "Internet_Speed_Category": "Very Fast (100+ Mbps)", "row_count": 110}, {"Has_Children": "Yes", "Internet_Speed_Category": "Very Fast (100+ Mbps)", "row_count": 108}, {"Has_Children": "No", "Internet_Speed_Category": "Fast (50-100 Mbps)", "row_count": 85}, {"Has_Children": "Yes", "Internet_Speed_Category": "Fast (50-100 Mbps)", "row_count": 79}, {"Has_Children": "No", "Internet_Speed_Category": "Moderate (25-50 Mbps)", "row_count": 40}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..524acc3d86bdb811733c00a0c8fc04f018844789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1afaf01168c1270c +-- problem_id: v2p_m1_c772f91f4857beb0 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Internet_Speed_Category", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Meetings_Per_Week" AS REAL) >= 10.0 +GROUP BY "Has_Children", "Internet_Speed_Category" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e76bb79edf78e2e05da9e26817e91149b015ddef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/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 \"Has_Children\", \"Internet_Speed_Category\", COUNT(*) AS row_count\nFROM \"m1\"\nWHERE CAST(\"Meetings_Per_Week\" AS REAL) >= 10.0\nGROUP BY \"Has_Children\", \"Internet_Speed_Category\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Internet_Speed_Category\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Meetings_Per_Week\\\" AS REAL) >= 10.0\\nGROUP BY \\\"Has_Children\\\", \\\"Internet_Speed_Category\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Has_Children\", \"Internet_Speed_Category\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"row_count\": 110}, {\"Has_Children\": \"Yes\", \"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"row_count\": 108}, {\"Has_Children\": \"No\", \"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"row_count\": 85}, {\"Has_Children\": \"Yes\", \"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"row_count\": 79}, {\"Has_Children\": \"No\", \"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"row_count\": 40}, {\"Has_Children\": \"Yes\", \"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"row_count\": 27}, {\"Has_Children\": \"Yes\", \"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"row_count\": 9}, {\"Has_Children\": \"No\", \"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"row_count\": 8}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4de5a4e767b0053e791560e67b84be3969325629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:43:08.423901+00:00", + "ended_at": "2026-05-19T15:43:17.485229+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1afaf01168c1270c", + "problem_id": "v2p_m1_c772f91f4857beb0", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Internet_Speed_Category.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Internet_Speed_Category", + "predicate_col": "Meetings_Per_Week", + "predicate_op": ">=", + "predicate_value": 10.0, + "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": 10.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1afaf01168c1270c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1afaf01168c1270c", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 12032, + "output_tokens": 332, + "total_tokens": 17117, + "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": 9054.56, + "sql_execution_elapsed_ms_total": 1.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/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_a/m1/artifacts/v2q_m1_1afaf01168c1270c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0056c6adbe31b4c188a693f1fc2eda9f80e8bfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:17.481846+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": 9054.56, "started_at": "2026-05-19T15:43:08.426151+00:00", "ended_at": "2026-05-19T15:43:17.480734+00:00", "prompt_metrics": {"chars": 16675, "bytes_utf8": 16675, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 556, "bytes_utf8": 556, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16785, "cached_input_tokens": 12032, "output_tokens": 332, "reasoning_output_tokens": 185}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Internet_Speed_Category\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Meetings_Per_Week\\\" AS REAL) >= 10.0\\nGROUP BY \\\"Has_Children\\\", \\\"Internet_Speed_Category\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"Has_Children\\\", group_col_2=\\\"Internet_Speed_Category\\\", and predicate \\\"Meetings_Per_Week\\\" >= 10.0. Used CAST(... AS REAL) because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ab19add55808a89a7598d765d298a812a235792c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1afaf01168c1270c", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 12032, + "output_tokens": 332, + "total_tokens": 17117, + "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": 9054.56, + "sql_execution_elapsed_ms_total": 1.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1afaf01168c1270c/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_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b7bcb5a250812e891fbf5e20cc3d432cd426355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Job_Satisfaction. +Result preview: [{"Job_Satisfaction": 100.0}, {"Job_Satisfaction": 100.0}, {"Job_Satisfaction": 100.0}, {"Job_Satisfaction": 100.0}, {"Job_Satisfaction": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..773ef105abaebc2fa80384fcc5061b9b7597e437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_1bf8fc06dacea1e9 +-- problem_id: v2p_m1_23a15564d1926815 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("Job_Satisfaction" AS REAL) AS "Job_Satisfaction", + NTILE(10) OVER (ORDER BY CAST("Job_Satisfaction" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Job_Satisfaction" IS NOT NULL +) +SELECT "Job_Satisfaction" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "Job_Satisfaction" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d6770c290265cbdc40f0a88e961a66de0a810d8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"Job_Satisfaction\" AS REAL) AS \"Job_Satisfaction\",\n NTILE(10) OVER (ORDER BY CAST(\"Job_Satisfaction\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n WHERE \"Job_Satisfaction\" IS NOT NULL\n)\nSELECT \"Job_Satisfaction\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"Job_Satisfaction\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"Job_Satisfaction\\\" AS REAL) AS \\\"Job_Satisfaction\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Job_Satisfaction\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Satisfaction\\\" IS NOT NULL\\n)\\nSELECT \\\"Job_Satisfaction\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Job_Satisfaction\\\" DESC;\", \"columns\": [\"Job_Satisfaction\"], \"rows\": [{\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}, {\"Job_Satisfaction\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..deae42f72033251b75347765a4c99345e5b6f83e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:46:27.091624+00:00", + "ended_at": "2026-05-19T15:46:43.379803+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1bf8fc06dacea1e9", + "problem_id": "v2p_m1_23a15564d1926815", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Job_Satisfaction.", + "bindings": { + "measure_col": "Job_Satisfaction", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_1bf8fc06dacea1e9.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1bf8fc06dacea1e9", + "api_calls": 0, + "input_tokens": 16736, + "cached_input_tokens": 12032, + "output_tokens": 453, + "total_tokens": 17189, + "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": 16279.34, + "sql_execution_elapsed_ms_total": 3.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/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_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51bb6a3082383788f59debd3df93a55b4440990d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:43.373638+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": 16279.34, "started_at": "2026-05-19T15:46:27.093087+00:00", "ended_at": "2026-05-19T15:46:43.372463+00:00", "prompt_metrics": {"chars": 16505, "bytes_utf8": 16505, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16736, "cached_input_tokens": 12032, "output_tokens": 453, "reasoning_output_tokens": 282}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"Job_Satisfaction\\\" AS REAL) AS \\\"Job_Satisfaction\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Job_Satisfaction\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Satisfaction\\\" IS NOT NULL\\n)\\nSELECT \\\"Job_Satisfaction\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Job_Satisfaction\\\" DESC;\",\"notes\":\"Uses the requested Quantile Tail Slice template on \\\"Job_Satisfaction\\\", casting from TEXT to REAL so NTILE(10) and descending sort operate numerically; returns the top decile tail values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..56452b2f872bb7c44f4a3d50e2af00bcb9233f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1bf8fc06dacea1e9", + "api_calls": 0, + "input_tokens": 16736, + "cached_input_tokens": 12032, + "output_tokens": 453, + "total_tokens": 17189, + "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": 16279.34, + "sql_execution_elapsed_ms_total": 3.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1bf8fc06dacea1e9/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_a/m1/artifacts/v2q_m1_1c3d240370b25a45/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1c3d240370b25a45/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a84c0ebfad722e31bb7dadd0d55e76c50f6f3818 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1c3d240370b25a45/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:57:16.200719+00:00", + "ended_at": "2026-05-19T15:57:23.736584+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1c3d240370b25a45", + "problem_id": "v2p_m1_51bcdcd3d3414450", + "dataset_id": "m1", + "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=Location_Type, measure_col=Task_Completion_Rate.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "Task_Completion_Rate", + "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": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {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=1/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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", + "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_a/m1/artifacts/v2q_m1_1c3d240370b25a45/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1c3d240370b25a45/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7443c6d0e56046879b1be0ee6c46d1e2f3620564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1c3d240370b25a45/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:19.523478+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": 3318.89, "started_at": "2026-05-19T15:57:16.203556+00:00", "ended_at": "2026-05-19T15:57:19.522482+00:00", "prompt_metrics": {"chars": 16529, "bytes_utf8": 16529, "lines": 456, "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-a942-73c3-8ceb-009e94501670\"}\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": "2026-05-19T15:57:23.736448+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": 3210.85, "started_at": "2026-05-19T15:57:20.524757+00:00", "ended_at": "2026-05-19T15:57:23.735645+00:00", "prompt_metrics": {"chars": 16529, "bytes_utf8": 16529, "lines": 456, "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-ba2d-7080-b32b-f4dad018b681\"}\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_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f6b6fd5682b2c47147cbe14a0eff47ae6fa6103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Productivity_Score. +Result preview: [{"Productivity_Score": "98.0"}, {"Productivity_Score": "98.0"}, {"Productivity_Score": "98.0"}, {"Productivity_Score": "98.0"}, {"Productivity_Score": "98.0"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..511fc2a80b333d08dac9d845a6d1ac6e977ec558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_1cacaa98c22d42c3 +-- problem_id: v2p_m1_c35f9b1c9e631696 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "Productivity_Score", + NTILE(10) OVER (ORDER BY CAST("Productivity_Score" AS REAL) DESC) AS tail_bucket + FROM "m1" +) +SELECT "Productivity_Score" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("Productivity_Score" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b05bd65d54e32a0f635950f1e936f8593c87e499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"Productivity_Score\",\n NTILE(10) OVER (ORDER BY CAST(\"Productivity_Score\" AS REAL) DESC) AS tail_bucket\n FROM \"m1\"\n)\nSELECT \"Productivity_Score\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"Productivity_Score\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"Productivity_Score\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Productivity_Score\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m1\\\"\\n)\\nSELECT \\\"Productivity_Score\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"Productivity_Score\\\" AS REAL) DESC;\", \"columns\": [\"Productivity_Score\"], \"rows\": [{\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}, {\"Productivity_Score\": \"98.0\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..25c4be9b45e2be7fc1d6cde449933c1f966fb5dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:44:33.462889+00:00", + "ended_at": "2026-05-19T15:44:51.681987+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1cacaa98c22d42c3", + "problem_id": "v2p_m1_c35f9b1c9e631696", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Productivity_Score.", + "bindings": { + "measure_col": "Productivity_Score", + "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": 98.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=60" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_1cacaa98c22d42c3.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1cacaa98c22d42c3", + "api_calls": 0, + "input_tokens": 16738, + "cached_input_tokens": 15744, + "output_tokens": 438, + "total_tokens": 17176, + "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": 18210.59, + "sql_execution_elapsed_ms_total": 3.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/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_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..993d33332c5bb7ac3c48107dfa4d66148b009741 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:51.675983+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": 18210.59, "started_at": "2026-05-19T15:44:33.464209+00:00", "ended_at": "2026-05-19T15:44:51.674834+00:00", "prompt_metrics": {"chars": 16509, "bytes_utf8": 16509, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 572, "bytes_utf8": 572, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16738, "cached_input_tokens": 15744, "output_tokens": 438, "reasoning_output_tokens": 286}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"Productivity_Score\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Productivity_Score\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m1\\\"\\n)\\nSELECT \\\"Productivity_Score\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"Productivity_Score\\\" AS REAL) DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template on \\\"Productivity_Score\\\". CAST to REAL is added because the schema stores this measure as TEXT, and numeric ordering is required for a correct top-decile tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c74c9f32f05614cda3062698c630e1c32354d36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1cacaa98c22d42c3", + "api_calls": 0, + "input_tokens": 16738, + "cached_input_tokens": 15744, + "output_tokens": 438, + "total_tokens": 17176, + "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": 18210.59, + "sql_execution_elapsed_ms_total": 3.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cacaa98c22d42c3/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_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4aabd4e91b739b467ffbb3584782f6b03cf7b770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/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=Industry, measure_col=Efficiency_Rating. +Result preview: [{"Industry": "Technology", "total_measure": 42790.8}, {"Industry": "Finance", "total_measure": 20231.0}, {"Industry": "Healthcare", "total_measure": 16838.3}, {"Industry": "Education", "total_measure": 12953.8}, {"Industry": "Retail", "total_measure": 9736.6}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3f0e831c27dc2fa4894c0e020d727206de2792a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1cb01cf428f528f7 +-- problem_id: v2p_m1_c3c2aa3f88ca5cfb +-- realization_mode: agent +-- source_kind: agent +SELECT "Industry", SUM(CAST("Efficiency_Rating" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Industry" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4913fc0873650b9d164c46f56ccb6c65b8dbb447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/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 \"Industry\", SUM(CAST(\"Efficiency_Rating\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Industry\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Industry\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Industry\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Industry\", \"total_measure\"], \"rows\": [{\"Industry\": \"Technology\", \"total_measure\": 42790.8}, {\"Industry\": \"Finance\", \"total_measure\": 20231.0}, {\"Industry\": \"Healthcare\", \"total_measure\": 16838.3}, {\"Industry\": \"Education\", \"total_measure\": 12953.8}, {\"Industry\": \"Retail\", \"total_measure\": 9736.6}, {\"Industry\": \"Manufacturing\", \"total_measure\": 8398.0}, {\"Industry\": \"Consulting\", \"total_measure\": 8009.4}, {\"Industry\": \"Government\", \"total_measure\": 6621.7}, {\"Industry\": \"Media\", \"total_measure\": 6583.5}, {\"Industry\": \"Non-profit\", \"total_measure\": 3569.7}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c4b59347d0ee890f45656b587027add9f090843a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:31:29.558232+00:00", + "ended_at": "2026-05-19T15:31:50.493472+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1cb01cf428f528f7", + "problem_id": "v2p_m1_c3c2aa3f88ca5cfb", + "dataset_id": "m1", + "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=Industry, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Industry", + "measure_col": "Efficiency_Rating", + "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": 95.0, + "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=9", + "sql_variant_index=1/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cb01cf428f528f7.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1cb01cf428f528f7", + "api_calls": 0, + "input_tokens": 16681, + "cached_input_tokens": 15744, + "output_tokens": 413, + "total_tokens": 17094, + "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": 20926.91, + "sql_execution_elapsed_ms_total": 2.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/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_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c50869fa1d535b960092a3cff6d42fd5550dc41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:50.488108+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": 20926.91, "started_at": "2026-05-19T15:31:29.559462+00:00", "ended_at": "2026-05-19T15:31:50.486405+00:00", "prompt_metrics": {"chars": 16336, "bytes_utf8": 16336, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 366, "bytes_utf8": 366, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16681, "cached_input_tokens": 15744, "output_tokens": 413, "reasoning_output_tokens": 317}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Industry\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Industry\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"Industry\\\" as the grouping column and cast \\\"Efficiency_Rating\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5175db24191d97a28f8c02cfb851ac2dc4336f25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1cb01cf428f528f7", + "api_calls": 0, + "input_tokens": 16681, + "cached_input_tokens": 15744, + "output_tokens": 413, + "total_tokens": 17094, + "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": 20926.91, + "sql_execution_elapsed_ms_total": 2.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1cb01cf428f528f7/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_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5d6e3b9e659f6e7948ac3e91fa8cc384143ce017 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:05:04.246814+00:00", + "ended_at": "2026-05-19T16:05:12.055335+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1d2af5a89f2cdef4", + "problem_id": "v2p_m1_1e21c34c563691c7", + "dataset_id": "m1", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Gender, condition_col=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Gender", + "condition_col": "Team_Collaboration_Frequency", + "condition_value": "Few times per week", + "positive_value": "Daily", + "negative_value": "Few times per week", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 98.0, + "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=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1c653a14338db83e9d3936c8d9e6e7dfdc95640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2af5a89f2cdef4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:07.693677+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": 3444.44, "started_at": "2026-05-19T16:05:04.248410+00:00", "ended_at": "2026-05-19T16:05:07.692882+00:00", "prompt_metrics": {"chars": 16639, "bytes_utf8": 16639, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-cd6e-7dc3-a480-697a48631795\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:12.055241+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": 3359.62, "started_at": "2026-05-19T16:05:08.694696+00:00", "ended_at": "2026-05-19T16:05:12.054355+00:00", "prompt_metrics": {"chars": 16639, "bytes_utf8": 16639, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-dee3-7190-ace0-b6e73eae612a\"}\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_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..821c7b0fed6ad5f9132902c59bae5e1ee403eaf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Large (1001-5000)", "support": 386, "support_share": 0.25733333333333336, "cumulative_support": 386}, {"value_label": "Medium (201-1000)", "support": 384, "support_share": 0.256, "cumulative_support": 770}, {"value_label": "Small (51-200)", "support": 352, "support_share": 0.23466666666666666, "cumulative_support": 1122}, {"value_label": "Startup (1-50)", "support": 225, "support_share": 0.15, "cumulative_support": 1347}, {"value_label": "Enterprise (5000+)", "support": 153, "support_share": 0.102, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..76e4f4d2113b27ef02d789643875dc0329e30379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1d2f460c9a64b4eb +-- problem_id: v2p_m1_b372d8bb091ff60e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Company_Size" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Company_Size" +), 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_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70fae5600086c297f8a9b6869873cf8d05511bfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/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_a\n-- sql_source_dataset_id: m1\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_m1_1d2f460c9a64b4eb\n-- problem_id: v2p_m1_b372d8bb091ff60e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Company_Size\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Company_Size\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_1d2f460c9a64b4eb\\n-- problem_id: v2p_m1_b372d8bb091ff60e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Company_Size\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Company_Size\\\"\\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\": \"Large (1001-5000)\", \"support\": 386, \"support_share\": 0.25733333333333336, \"cumulative_support\": 386}, {\"value_label\": \"Medium (201-1000)\", \"support\": 384, \"support_share\": 0.256, \"cumulative_support\": 770}, {\"value_label\": \"Small (51-200)\", \"support\": 352, \"support_share\": 0.23466666666666666, \"cumulative_support\": 1122}, {\"value_label\": \"Startup (1-50)\", \"support\": 225, \"support_share\": 0.15, \"cumulative_support\": 1347}, {\"value_label\": \"Enterprise (5000+)\", \"support\": 153, \"support_share\": 0.102, \"cumulative_support\": 1500}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..235312094357c3566aa6306433e060a833badc5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.263439+00:00", + "ended_at": "2026-05-19T16:11:34.265336+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1d2f460c9a64b4eb", + "problem_id": "v2p_m1_b372d8bb091ff60e", + "dataset_id": "m1", + "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=Company_Size.", + "bindings": { + "group_col": "Company_Size" + }, + "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=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_a/m1/sql/v2q_m1_1d2f460c9a64b4eb.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_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1d2f460c9a64b4eb/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_a/m1/artifacts/v2q_m1_1e7ab5b666473593/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..655a29f84e36b73461f5b5c38fc1c97e54c6f543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/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=Education_Level, measure_col=Years_Experience. +Result preview: [{"Education_Level": "Bachelor Degree", "total_measure": 3209.0}, {"Education_Level": "Master Degree", "total_measure": 2032.0}, {"Education_Level": "Associate Degree", "total_measure": 752.0}, {"Education_Level": "High School", "total_measure": 393.0}, {"Education_Level": "PhD", "total_measure": 385.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f66d5df60f89d07c2da57e41ce4706e024fe639f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_1e7ab5b666473593 +-- problem_id: v2p_m1_37ab31c1c5efd0c8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", SUM(CAST("Years_Experience" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Education_Level" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3530bab2ac9c60cbf10cdd6e026a43077115e70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/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 \"Education_Level\", SUM(CAST(\"Years_Experience\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Education_Level\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Education_Level\\\", SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Education_Level\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Education_Level\", \"total_measure\"], \"rows\": [{\"Education_Level\": \"Bachelor Degree\", \"total_measure\": 3209.0}, {\"Education_Level\": \"Master Degree\", \"total_measure\": 2032.0}, {\"Education_Level\": \"Associate Degree\", \"total_measure\": 752.0}, {\"Education_Level\": \"High School\", \"total_measure\": 393.0}, {\"Education_Level\": \"PhD\", \"total_measure\": 385.0}, {\"Education_Level\": \"Professional Degree\", \"total_measure\": 121.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0313f4d43780c90e20594763f3f7b1707e9b042b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:28:36.779317+00:00", + "ended_at": "2026-05-19T15:28:44.474013+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1e7ab5b666473593", + "problem_id": "v2p_m1_37ab31c1c5efd0c8", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Education_Level, measure_col=Years_Experience.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "Years_Experience", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "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=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_a/m1/sql/v2q_m1_1e7ab5b666473593.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1e7ab5b666473593", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 237, + "total_tokens": 16920, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7688.91, + "sql_execution_elapsed_ms_total": 1.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/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_a/m1/artifacts/v2q_m1_1e7ab5b666473593/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6dc6c49e92acddd77e4d3f66c03be39a16b0eed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:44.471468+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": 7688.91, "started_at": "2026-05-19T15:28:36.781528+00:00", "ended_at": "2026-05-19T15:28:44.470465+00:00", "prompt_metrics": {"chars": 16346, "bytes_utf8": 16346, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16683, "cached_input_tokens": 12032, "output_tokens": 237, "reasoning_output_tokens": 137}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Education_Level\\\", SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Education_Level\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"Education_Level\\\" and measure_col=\\\"Years_Experience\\\". CAST to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99c918357dd413c47436b469bf9326e2ebf0049e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1e7ab5b666473593", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 237, + "total_tokens": 16920, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7688.91, + "sql_execution_elapsed_ms_total": 1.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e7ab5b666473593/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_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d04444e462e3c59b9ea67b44ec39317ea588c6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Manager_Support_Level, measure_col=Meetings_Per_Week. +Result preview: [{"Manager_Support_Level": "Moderate", "group_value": 4342.0}, {"Manager_Support_Level": "High", "group_value": 4089.0}, {"Manager_Support_Level": "Very High", "group_value": 1978.0}, {"Manager_Support_Level": "Low", "group_value": 1399.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e7b09942cca749dd8b6d5895010e09407ec25458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_1e9ca03df90fecd1 +-- problem_id: v2p_m1_56a53901b7add09e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Manager_Support_Level", + SUM(CAST(NULLIF("Meetings_Per_Week", '') AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Manager_Support_Level" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."Manager_Support_Level", + 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_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bce3cc0c373593d1d763f181ce6794f3c462db54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"Manager_Support_Level\",\n SUM(CAST(NULLIF(\"Meetings_Per_Week\", '') AS REAL)) AS \"group_value\"\n FROM \"m1\"\n GROUP BY \"Manager_Support_Level\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"Manager_Support_Level\",\n g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"Manager_Support_Level\\\",\\n SUM(CAST(NULLIF(\\\"Meetings_Per_Week\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"Manager_Support_Level\\\",\\n g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"Manager_Support_Level\", \"group_value\"], \"rows\": [{\"Manager_Support_Level\": \"Moderate\", \"group_value\": 4342.0}, {\"Manager_Support_Level\": \"High\", \"group_value\": 4089.0}, {\"Manager_Support_Level\": \"Very High\", \"group_value\": 1978.0}, {\"Manager_Support_Level\": \"Low\", \"group_value\": 1399.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..38b17204c65bebb09ac094d26d7f49eda1510d79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:50:14.679885+00:00", + "ended_at": "2026-05-19T15:50:28.542923+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_1e9ca03df90fecd1", + "problem_id": "v2p_m1_56a53901b7add09e", + "dataset_id": "m1", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Manager_Support_Level, measure_col=Meetings_Per_Week.", + "bindings": { + "group_col": "Manager_Support_Level", + "measure_col": "Meetings_Per_Week", + "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": 9.0, + "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=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "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_a/m1/sql/v2q_m1_1e9ca03df90fecd1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1e9ca03df90fecd1", + "api_calls": 0, + "input_tokens": 16827, + "cached_input_tokens": 15744, + "output_tokens": 678, + "total_tokens": 17505, + "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": 13857.05, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/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_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5320a4961e79c1f22ba3d6ad5190d7594362a43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:28.540326+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": 13857.05, "started_at": "2026-05-19T15:50:14.682454+00:00", "ended_at": "2026-05-19T15:50:28.539542+00:00", "prompt_metrics": {"chars": 16917, "bytes_utf8": 16917, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 758, "bytes_utf8": 758, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16827, "cached_input_tokens": 15744, "output_tokens": 678, "reasoning_output_tokens": 476}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"Manager_Support_Level\\\",\\n SUM(CAST(NULLIF(\\\"Meetings_Per_Week\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"Manager_Support_Level\\\",\\n g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Manager_Support_Level\\\" and measure_col=\\\"Meetings_Per_Week\\\". Cast the TEXT measure column to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be59e78191422fe2f0948b285dee90c024662801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_1e9ca03df90fecd1", + "api_calls": 0, + "input_tokens": 16827, + "cached_input_tokens": 15744, + "output_tokens": 678, + "total_tokens": 17505, + "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": 13857.05, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_1e9ca03df90fecd1/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_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab0ef51333d6346123b33404ae9353f4150e2580 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:42.523472+00:00", + "ended_at": "2026-05-19T16:07:50.043367+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_2036cb9ddb570ac9", + "problem_id": "v2p_m1_51276561d81598b1", + "dataset_id": "m1", + "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": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Has_Children.", + "bindings": { + "group_col": "Has_Children", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "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=2/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "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_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36029baddb6c5652658680dce0eba400bdff41d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2036cb9ddb570ac9/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:45.886537+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": 3360.74, "started_at": "2026-05-19T16:07:42.524943+00:00", "ended_at": "2026-05-19T16:07:45.885707+00:00", "prompt_metrics": {"chars": 16317, "bytes_utf8": 16317, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-37c1-7e91-b130-3940d22f688a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:50.043279+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": 3154.48, "started_at": "2026-05-19T16:07:46.888014+00:00", "ended_at": "2026-05-19T16:07:50.042530+00:00", "prompt_metrics": {"chars": 16317, "bytes_utf8": 16317, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-48d7-72d0-915d-6ff916e44f50\"}\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_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bf1c179403b7857dac41d48259cf5425b6714b20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:19.664755+00:00", + "ended_at": "2026-05-19T16:08:27.045059+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_23265d90fe56bf1b", + "problem_id": "v2p_m1_2b464403007d2701", + "dataset_id": "m1", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Job_Level.", + "bindings": { + "group_col": "Job_Level", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 8.0, + "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=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "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_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..575cc6d2e9035a5b910b6d8f150ab8469122f417 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_23265d90fe56bf1b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:22.705508+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": 3037.46, "started_at": "2026-05-19T16:08:19.666934+00:00", "ended_at": "2026-05-19T16:08:22.704425+00:00", "prompt_metrics": {"chars": 16308, "bytes_utf8": 16308, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-c8d8-7132-8096-500cfe21b66c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:27.044934+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": 3337.53, "started_at": "2026-05-19T16:08:23.706647+00:00", "ended_at": "2026-05-19T16:08:27.044206+00:00", "prompt_metrics": {"chars": 16308, "bytes_utf8": 16308, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-d89d-7ee0-98f1-339efa8a71fd\"}\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_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e147837354e11e13c892311dfb39f7fd8e05143 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/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=Location_Type, condition_col=Response_Quality. +Result preview: [{"Location_Type": "Suburban", "condition_ratio": 2.9625}, {"Location_Type": "Urban", "condition_ratio": 2.9622641509433962}, {"Location_Type": "Rural", "condition_ratio": 2.25}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6fa75c0c9cf79805ed38dfab55dc2c554fad18bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_25394aa0d0870dfa +-- problem_id: v2p_m1_f076a540ed23febd +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Location_Type", + SUM(CASE WHEN "Response_Quality" = 'High' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Response_Quality" = 'Medium' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Location_Type" +) +SELECT "Location_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_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19f23fe3f6b92488a35359364096abacf3212b1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/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 \"Location_Type\",\n SUM(CASE WHEN \"Response_Quality\" = 'High' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Response_Quality\" = 'Medium' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m1\"\n GROUP BY \"Location_Type\"\n)\nSELECT \"Location_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 \\\"Location_Type\\\",\\n SUM(CASE WHEN \\\"Response_Quality\\\" = 'High' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Response_Quality\\\" = 'Medium' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\n)\\nSELECT \\\"Location_Type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Location_Type\", \"condition_ratio\"], \"rows\": [{\"Location_Type\": \"Suburban\", \"condition_ratio\": 2.9625}, {\"Location_Type\": \"Urban\", \"condition_ratio\": 2.9622641509433962}, {\"Location_Type\": \"Rural\", \"condition_ratio\": 2.25}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bcc0f58b5ca5b0fe43968907a17b96c2ee60166e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:40:58.280318+00:00", + "ended_at": "2026-05-19T15:41:09.668774+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_25394aa0d0870dfa", + "problem_id": "v2p_m1_f076a540ed23febd", + "dataset_id": "m1", + "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=Location_Type, condition_col=Response_Quality.", + "bindings": { + "group_col": "Location_Type", + "condition_col": "Response_Quality", + "condition_value": "High", + "positive_value": "High", + "negative_value": "Medium", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "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=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_a/m1/sql/v2q_m1_25394aa0d0870dfa.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_25394aa0d0870dfa", + "api_calls": 0, + "input_tokens": 16892, + "cached_input_tokens": 12032, + "output_tokens": 380, + "total_tokens": 17272, + "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": 11383.14, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/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_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39ec59ed4b5098fc7321ceeef86003a6c23006b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:09.666112+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": 11383.14, "started_at": "2026-05-19T15:40:58.282199+00:00", "ended_at": "2026-05-19T15:41:09.665358+00:00", "prompt_metrics": {"chars": 17161, "bytes_utf8": 17161, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 717, "bytes_utf8": 717, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16892, "cached_input_tokens": 12032, "output_tokens": 380, "reasoning_output_tokens": 199}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Location_Type\\\",\\n SUM(CASE WHEN \\\"Response_Quality\\\" = 'High' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Response_Quality\\\" = 'Medium' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\n)\\nSELECT \\\"Location_Type\\\",\\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 High to Medium Response_Quality within each Location_Type, following the planned grouped ratio template. The ratio is NULL when a location type has no Medium responses.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f70d2d497c26dd51a431b7bc4fed2de18ad22eef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_25394aa0d0870dfa", + "api_calls": 0, + "input_tokens": 16892, + "cached_input_tokens": 12032, + "output_tokens": 380, + "total_tokens": 17272, + "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": 11383.14, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_25394aa0d0870dfa/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_a/m1/artifacts/v2q_m1_262723f1965435fa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4e09034beee6a71944bdf72ed499f083b5cbb2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/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=Response_Quality, measure_col=Age. +Result preview: [{"Response_Quality": "Medium", "percentile_measure": 50.69999999999999}, {"Response_Quality": "High", "percentile_measure": 50.0}, {"Response_Quality": "Low", "percentile_measure": 48.099999999999994}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f8c74bdc0fe861c6689f58f6a78c8334cbe02bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_262723f1965435fa +-- problem_id: v2p_m1_94c2990491869f0d +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Response_Quality", + CAST("Age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Response_Quality" + ORDER BY CAST("Age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Response_Quality" + ) AS "cnt" + FROM "m1" + WHERE "Age" IS NOT NULL + AND TRIM("Age") <> '' +), +"params" AS ( + SELECT + "Response_Quality", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lower_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) + 1 + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + END AS "upper_rn" + FROM "ordered" + GROUP BY "Response_Quality", "cnt" +), +"bounds" AS ( + SELECT + p."Response_Quality", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."age_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."age_value" END) AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS o + ON o."Response_Quality" = p."Response_Quality" + GROUP BY + p."Response_Quality", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Response_Quality", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1902475a081d8b19360c0da8ea4796d7a10c894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/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 \"Response_Quality\",\n CAST(\"Age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Response_Quality\"\n ORDER BY CAST(\"Age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Response_Quality\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Age\" IS NOT NULL\n AND TRIM(\"Age\") <> ''\n),\n\"params\" AS (\n SELECT\n \"Response_Quality\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lower_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) + 1\n ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"Response_Quality\", \"cnt\"\n),\n\"bounds\" AS (\n SELECT\n p.\"Response_Quality\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"age_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"age_value\" END) AS \"upper_value\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"Response_Quality\" = p.\"Response_Quality\"\n GROUP BY\n p.\"Response_Quality\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"Response_Quality\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\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 \\\"Response_Quality\\\",\\n CAST(\\\"Age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Response_Quality\\\"\\n ORDER BY CAST(\\\"Age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Response_Quality\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Age\\\" IS NOT NULL\\n AND TRIM(\\\"Age\\\") <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Response_Quality\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_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) + 1\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Response_Quality\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Response_Quality\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"Response_Quality\\\" = p.\\\"Response_Quality\\\"\\n GROUP BY\\n p.\\\"Response_Quality\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"Response_Quality\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Response_Quality\", \"percentile_measure\"], \"rows\": [{\"Response_Quality\": \"Medium\", \"percentile_measure\": 50.69999999999999}, {\"Response_Quality\": \"High\", \"percentile_measure\": 50.0}, {\"Response_Quality\": \"Low\", \"percentile_measure\": 48.099999999999994}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7572b3de5c51003db8a42d244ca813e442589246 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:51:20.745579+00:00", + "ended_at": "2026-05-19T15:51:59.622978+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_262723f1965435fa", + "problem_id": "v2p_m1_94c2990491869f0d", + "dataset_id": "m1", + "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=Response_Quality, measure_col=Age.", + "bindings": { + "group_col": "Response_Quality", + "measure_col": "Age", + "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": 41.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_262723f1965435fa.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_262723f1965435fa", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 2402, + "total_tokens": 19121, + "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": 38864.12, + "sql_execution_elapsed_ms_total": 8.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/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_a/m1/artifacts/v2q_m1_262723f1965435fa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f8c641843f356dfb4fa1c79bd6cdd897d4948b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:59.612290+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": 38864.12, "started_at": "2026-05-19T15:51:20.747024+00:00", "ended_at": "2026-05-19T15:51:59.611186+00:00", "prompt_metrics": {"chars": 16503, "bytes_utf8": 16503, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1939, "bytes_utf8": 1939, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 12032, "output_tokens": 2402, "reasoning_output_tokens": 1762}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Response_Quality\\\",\\n CAST(\\\"Age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Response_Quality\\\"\\n ORDER BY CAST(\\\"Age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Response_Quality\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Age\\\" IS NOT NULL\\n AND TRIM(\\\"Age\\\") <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Response_Quality\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_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) + 1\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Response_Quality\\\", \\\"cnt\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"Response_Quality\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8cb9b272d6904dbed38b6473a3143f4e23b169d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_262723f1965435fa", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 2402, + "total_tokens": 19121, + "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": 38864.12, + "sql_execution_elapsed_ms_total": 8.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_262723f1965435fa/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_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a5e04ea1610ff6a71829ccf5f26af97ca9f04f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/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=Gender, measure_col=Years_Experience. +Result preview: [{"Gender": "Male", "percentile_measure": 14.0}, {"Gender": "Female", "percentile_measure": 13.0}, {"Gender": "Non-binary", "percentile_measure": 12.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f1837a61def178dca14c554c41baf920677c7c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_26585a9c4ac09d48 +-- problem_id: v2p_m1_b33188be19b93ab2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + "percentile_measure" +FROM ( + SELECT + "Gender", + CAST("Years_Experience" AS REAL) AS "percentile_measure", + ROW_NUMBER() OVER ( + PARTITION BY "Gender" + ORDER BY CAST("Years_Experience" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Gender" + ) AS "cnt" + FROM "m1" + WHERE "Gender" IS NOT NULL + AND "Years_Experience" IS NOT NULL +) +WHERE "rn" = ((95 * "cnt") + 99) / 100 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef1aedc59ffd4b24f4fe3cf7ab6f9a7807597b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/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 \"Gender\",\n \"percentile_measure\"\nFROM (\n SELECT\n \"Gender\",\n CAST(\"Years_Experience\" AS REAL) AS \"percentile_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Gender\"\n ORDER BY CAST(\"Years_Experience\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Gender\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Gender\" IS NOT NULL\n AND \"Years_Experience\" IS NOT NULL\n)\nWHERE \"rn\" = ((95 * \"cnt\") + 99) / 100\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"Gender\\\",\\n \\\"percentile_measure\\\"\\nFROM (\\n SELECT\\n \\\"Gender\\\",\\n CAST(\\\"Years_Experience\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Gender\\\"\\n ORDER BY CAST(\\\"Years_Experience\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Gender\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\n)\\nWHERE \\\"rn\\\" = ((95 * \\\"cnt\\\") + 99) / 100\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Gender\", \"percentile_measure\"], \"rows\": [{\"Gender\": \"Male\", \"percentile_measure\": 14.0}, {\"Gender\": \"Female\", \"percentile_measure\": 13.0}, {\"Gender\": \"Non-binary\", \"percentile_measure\": 12.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..391a6eb215e47d57c2611eefd8cf6b50e1b4f2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:53:39.093299+00:00", + "ended_at": "2026-05-19T15:53:53.954982+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_26585a9c4ac09d48", + "problem_id": "v2p_m1_b33188be19b93ab2", + "dataset_id": "m1", + "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=Gender, measure_col=Years_Experience.", + "bindings": { + "group_col": "Gender", + "measure_col": "Years_Experience", + "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": 5.0, + "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_a/m1/sql/v2q_m1_26585a9c4ac09d48.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_26585a9c4ac09d48", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 737, + "total_tokens": 17456, + "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": 14853.76, + "sql_execution_elapsed_ms_total": 3.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/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_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..763cf472dd23a58d2259b520921db58f003a7464 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:53.949430+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": 14853.76, "started_at": "2026-05-19T15:53:39.094788+00:00", "ended_at": "2026-05-19T15:53:53.948578+00:00", "prompt_metrics": {"chars": 16510, "bytes_utf8": 16510, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 780, "bytes_utf8": 780, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 12032, "output_tokens": 737, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"Gender\\\",\\n \\\"percentile_measure\\\"\\nFROM (\\n SELECT\\n \\\"Gender\\\",\\n CAST(\\\"Years_Experience\\\" AS REAL) AS \\\"percentile_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Gender\\\"\\n ORDER BY CAST(\\\"Years_Experience\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Gender\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Gender\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\n)\\nWHERE \\\"rn\\\" = ((95 * \\\"cnt\\\") + 99) / 100\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank method to return the 95th percentile point per Gender, casting \\\"Years_Experience\\\" from TEXT to REAL for numeric ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e7b6333fb5e38a462ef3e9669ada33b17575ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_26585a9c4ac09d48", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 737, + "total_tokens": 17456, + "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": 14853.76, + "sql_execution_elapsed_ms_total": 3.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_26585a9c4ac09d48/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_a/m1/artifacts/v2q_m1_289cec0f1b38e654/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1464b6dc1c05d39ef019a8c0613c92b1c157f79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Stress_Level, measure_col=Job_Satisfaction. +Result preview: [{"Stress_Level": "6", "group_value": 30150.0}, {"Stress_Level": "5", "group_value": 24492.0}, {"Stress_Level": "7", "group_value": 20242.5}, {"Stress_Level": "4", "group_value": 17796.2}, {"Stress_Level": "8", "group_value": 16990.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b2d5538d30150af356d8fbd0a72966b6d3b2769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_289cec0f1b38e654 +-- problem_id: v2p_m1_2482b450641b3581 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Stress_Level", SUM(CAST("Job_Satisfaction" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Stress_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Stress_Level", 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_a/m1/artifacts/v2q_m1_289cec0f1b38e654/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5770236359ccebcd0a587c10af103fa6ae2d34cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/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 \"Stress_Level\", SUM(CAST(\"Job_Satisfaction\" AS REAL)) AS group_value\n FROM \"m1\"\n GROUP BY \"Stress_Level\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Stress_Level\", 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 \\\"Stress_Level\\\", SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Stress_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Stress_Level\\\", 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\": [\"Stress_Level\", \"group_value\"], \"rows\": [{\"Stress_Level\": \"6\", \"group_value\": 30150.0}, {\"Stress_Level\": \"5\", \"group_value\": 24492.0}, {\"Stress_Level\": \"7\", \"group_value\": 20242.5}, {\"Stress_Level\": \"4\", \"group_value\": 17796.2}, {\"Stress_Level\": \"8\", \"group_value\": 16990.9}, {\"Stress_Level\": \"3\", \"group_value\": 10720.7}, {\"Stress_Level\": \"9\", \"group_value\": 8119.8}, {\"Stress_Level\": \"2\", \"group_value\": 7810.8}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5b5c10d255693ef2b3374267e578fef6cfe3cc21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:51:09.343287+00:00", + "ended_at": "2026-05-19T15:51:20.745040+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_289cec0f1b38e654", + "problem_id": "v2p_m1_2482b450641b3581", + "dataset_id": "m1", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Stress_Level, measure_col=Job_Satisfaction.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "Job_Satisfaction", + "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": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "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_a/m1/sql/v2q_m1_289cec0f1b38e654.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_289cec0f1b38e654", + "api_calls": 0, + "input_tokens": 16819, + "cached_input_tokens": 12032, + "output_tokens": 482, + "total_tokens": 17301, + "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": 11395.52, + "sql_execution_elapsed_ms_total": 1.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/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_a/m1/artifacts/v2q_m1_289cec0f1b38e654/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9a233b94ad8452a733ce349b4b876b0b96d8f8ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:20.742060+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": 11395.52, "started_at": "2026-05-19T15:51:09.345685+00:00", "ended_at": "2026-05-19T15:51:20.741237+00:00", "prompt_metrics": {"chars": 16899, "bytes_utf8": 16899, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 674, "bytes_utf8": 674, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16819, "cached_input_tokens": 12032, "output_tokens": 482, "reasoning_output_tokens": 312}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Stress_Level\\\", SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Stress_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Stress_Level\\\", 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\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"Stress_Level\\\" and measure_col=\\\"Job_Satisfaction\\\". CAST to REAL is applied because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae68d881a924daabba055150838e1cd2a7153dc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_289cec0f1b38e654", + "api_calls": 0, + "input_tokens": 16819, + "cached_input_tokens": 12032, + "output_tokens": 482, + "total_tokens": 17301, + "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": 11395.52, + "sql_execution_elapsed_ms_total": 1.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_289cec0f1b38e654/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_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7964a6da1bda5b0f3c853a5d67cf57658dddc2c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Bachelor Degree", "support": 673, "support_share": 0.44866666666666666, "cumulative_support": 673}, {"value_label": "Master Degree", "support": 489, "support_share": 0.326, "cumulative_support": 1162}, {"value_label": "Associate Degree", "support": 153, "support_share": 0.102, "cumulative_support": 1315}, {"value_label": "PhD", "support": 88, "support_share": 0.058666666666666666, "cumulative_support": 1403}, {"value_label": "High School", "support": 72, "support_share": 0.048, "cumulative_support": 1475}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..38ac2266238f1b6a64a2af304443fd0914fdc8cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_2b347f6589ddf4a3 +-- problem_id: v2p_m1_486fbca4dd999840 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Education_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Education_Level" +), 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_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46894798179d8130043616ce48290315b65bd011 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/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_a\n-- sql_source_dataset_id: m1\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_m1_2b347f6589ddf4a3\n-- problem_id: v2p_m1_486fbca4dd999840\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Education_Level\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Education_Level\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_2b347f6589ddf4a3\\n-- problem_id: v2p_m1_486fbca4dd999840\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Education_Level\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Education_Level\\\"\\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\": \"Bachelor Degree\", \"support\": 673, \"support_share\": 0.44866666666666666, \"cumulative_support\": 673}, {\"value_label\": \"Master Degree\", \"support\": 489, \"support_share\": 0.326, \"cumulative_support\": 1162}, {\"value_label\": \"Associate Degree\", \"support\": 153, \"support_share\": 0.102, \"cumulative_support\": 1315}, {\"value_label\": \"PhD\", \"support\": 88, \"support_share\": 0.058666666666666666, \"cumulative_support\": 1403}, {\"value_label\": \"High School\", \"support\": 72, \"support_share\": 0.048, \"cumulative_support\": 1475}, {\"value_label\": \"Professional Degree\", \"support\": 25, \"support_share\": 0.016666666666666666, \"cumulative_support\": 1500}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac62d93e00633f9498a9e2763cb946d62532b91c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.252839+00:00", + "ended_at": "2026-05-19T16:11:34.254507+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_2b347f6589ddf4a3", + "problem_id": "v2p_m1_486fbca4dd999840", + "dataset_id": "m1", + "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=Education_Level.", + "bindings": { + "group_col": "Education_Level" + }, + "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=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b347f6589ddf4a3.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_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b347f6589ddf4a3/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_a/m1/artifacts/v2q_m1_2b5af2a220014596/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eee0c44a71868cb922835ef99bc21ca354568e93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Survey_Date": "2024-05-04", "support": 22, "avg_response": 34.86363636363637}, {"Survey_Date": "2024-02-15", "support": 21, "avg_response": 34.095238095238095}, {"Survey_Date": "2024-03-25", "support": 20, "avg_response": 35.9}, {"Survey_Date": "2024-02-17", "support": 19, "avg_response": 32.473684210526315}, {"Survey_Date": "2024-02-19", "support": 18, "avg_response": 36.166666666666664}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11eb10e21f2f11957025dbe35c4337c26cddadcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_2b5af2a220014596 +-- problem_id: v2p_m1_fdd0f460aaf94c51 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Survey_Date", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Survey_Date" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51c298602e37c8490a1ef3291a84ea81844a00d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_2b5af2a220014596\n-- problem_id: v2p_m1_fdd0f460aaf94c51\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Survey_Date\",\n COUNT(*) AS support,\n AVG(\"Age\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Survey_Date\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_2b5af2a220014596\\n-- problem_id: v2p_m1_fdd0f460aaf94c51\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Survey_Date\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Age\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Survey_Date\", \"support\", \"avg_response\"], \"rows\": [{\"Survey_Date\": \"2024-05-04\", \"support\": 22, \"avg_response\": 34.86363636363637}, {\"Survey_Date\": \"2024-02-15\", \"support\": 21, \"avg_response\": 34.095238095238095}, {\"Survey_Date\": \"2024-03-25\", \"support\": 20, \"avg_response\": 35.9}, {\"Survey_Date\": \"2024-02-17\", \"support\": 19, \"avg_response\": 32.473684210526315}, {\"Survey_Date\": \"2024-02-19\", \"support\": 18, \"avg_response\": 36.166666666666664}, {\"Survey_Date\": \"2024-02-04\", \"support\": 17, \"avg_response\": 39.64705882352941}, {\"Survey_Date\": \"2024-04-08\", \"support\": 17, \"avg_response\": 38.23529411764706}, {\"Survey_Date\": \"2024-04-13\", \"support\": 17, \"avg_response\": 37.294117647058826}, {\"Survey_Date\": \"2024-02-12\", \"support\": 17, \"avg_response\": 36.588235294117645}, {\"Survey_Date\": \"2024-03-06\", \"support\": 17, \"avg_response\": 36.470588235294116}, {\"Survey_Date\": \"2024-04-09\", \"support\": 17, \"avg_response\": 36.23529411764706}, {\"Survey_Date\": \"2024-03-09\", \"support\": 17, \"avg_response\": 35.88235294117647}, {\"Survey_Date\": \"2024-03-17\", \"support\": 17, \"avg_response\": 35.705882352941174}, {\"Survey_Date\": \"2024-04-30\", \"support\": 17, \"avg_response\": 34.529411764705884}, {\"Survey_Date\": \"2024-03-14\", \"support\": 16, \"avg_response\": 36.5}, {\"Survey_Date\": \"2024-04-21\", \"support\": 16, \"avg_response\": 36.0}, {\"Survey_Date\": \"2024-02-11\", \"support\": 16, \"avg_response\": 35.3125}, {\"Survey_Date\": \"2024-05-06\", \"support\": 16, \"avg_response\": 35.125}, {\"Survey_Date\": \"2024-05-15\", \"support\": 16, \"avg_response\": 34.5}, {\"Survey_Date\": \"2024-04-20\", \"support\": 16, \"avg_response\": 32.6875}, {\"Survey_Date\": \"2024-03-24\", \"support\": 16, \"avg_response\": 32.3125}, {\"Survey_Date\": \"2024-05-12\", \"support\": 15, \"avg_response\": 38.2}, {\"Survey_Date\": \"2024-02-14\", \"support\": 15, \"avg_response\": 37.46666666666667}, {\"Survey_Date\": \"2024-03-11\", \"support\": 15, \"avg_response\": 37.266666666666666}, {\"Survey_Date\": \"2024-01-18\", \"support\": 15, \"avg_response\": 37.06666666666667}, {\"Survey_Date\": \"2024-03-15\", \"support\": 15, \"avg_response\": 36.333333333333336}, {\"Survey_Date\": \"2024-01-28\", \"support\": 15, \"avg_response\": 36.2}, {\"Survey_Date\": \"2024-02-03\", \"support\": 15, \"avg_response\": 35.8}, {\"Survey_Date\": \"2024-02-18\", \"support\": 15, \"avg_response\": 35.666666666666664}, {\"Survey_Date\": \"2024-03-13\", \"support\": 15, \"avg_response\": 35.6}, {\"Survey_Date\": \"2024-03-23\", \"support\": 15, \"avg_response\": 35.13333333333333}, {\"Survey_Date\": \"2024-01-23\", \"support\": 15, \"avg_response\": 33.93333333333333}, {\"Survey_Date\": \"2024-01-29\", \"support\": 15, \"avg_response\": 33.333333333333336}, {\"Survey_Date\": \"2024-04-27\", \"support\": 15, \"avg_response\": 32.93333333333333}, {\"Survey_Date\": \"2024-03-10\", \"support\": 14, \"avg_response\": 36.857142857142854}, {\"Survey_Date\": \"2024-02-08\", \"support\": 14, \"avg_response\": 36.714285714285715}, {\"Survey_Date\": \"2024-01-24\", \"support\": 14, \"avg_response\": 36.07142857142857}, {\"Survey_Date\": \"2024-04-18\", \"support\": 14, \"avg_response\": 35.642857142857146}, {\"Survey_Date\": \"2024-03-07\", \"support\": 14, \"avg_response\": 34.5}, {\"Survey_Date\": \"2024-03-31\", \"support\": 14, \"avg_response\": 34.142857142857146}, {\"Survey_Date\": \"2024-01-25\", \"support\": 14, \"avg_response\": 33.714285714285715}, {\"Survey_Date\": \"2024-03-03\", \"support\": 14, \"avg_response\": 32.642857142857146}, {\"Survey_Date\": \"2024-05-14\", \"support\": 14, \"avg_response\": 32.642857142857146}, {\"Survey_Date\": \"2024-04-01\", \"support\": 14, \"avg_response\": 29.928571428571427}, {\"Survey_Date\": \"2024-04-05\", \"support\": 13, \"avg_response\": 36.92307692307692}, {\"Survey_Date\": \"2024-01-21\", \"support\": 13, \"avg_response\": 36.38461538461539}, {\"Survey_Date\": \"2024-04-22\", \"support\": 13, \"avg_response\": 35.84615384615385}, {\"Survey_Date\": \"2024-02-13\", \"support\": 13, \"avg_response\": 35.69230769230769}, {\"Survey_Date\": \"2024-02-22\", \"support\": 13, \"avg_response\": 35.07692307692308}, {\"Survey_Date\": \"2024-02-23\", \"support\": 13, \"avg_response\": 34.69230769230769}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c8b774fcd36cabec99ffc35b40508d7cd9af22c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.328613+00:00", + "ended_at": "2026-05-19T16:11:34.330405+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_2b5af2a220014596", + "problem_id": "v2p_m1_fdd0f460aaf94c51", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Age, key_col=Survey_Date.", + "bindings": { + "key_col": "Survey_Date", + "measure_col": "Age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b5af2a220014596.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_a/m1/artifacts/v2q_m1_2b5af2a220014596/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2b5af2a220014596/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_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9890d20999f0ad686879c33fe7bb830e853b5ff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/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 count_distribution. Focus on group_col=Marital_Status. +Result preview: [{"Marital_Status": "In Relationship", "support": 122}, {"Marital_Status": "Divorced", "support": 186}, {"Marital_Status": "Single", "support": 417}, {"Marital_Status": "Married", "support": 775}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2f0b97c01f851dd760d085b0071dd3bf67485a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m1_2cfd85e1479bcac8 +-- problem_id: v2p_m1_90f48a507f6d9592 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Marital_Status", + COUNT(*) AS "support" +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY "support" ASC, "Marital_Status" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9954273d8e8b6d3597ce8b35bc60c69134da551d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/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 \"Marital_Status\",\n COUNT(*) AS \"support\"\nFROM \"m1\"\nGROUP BY \"Marital_Status\"\nORDER BY \"support\" ASC, \"Marital_Status\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Marital_Status\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Marital_Status\\\"\\nLIMIT 11;\", \"columns\": [\"Marital_Status\", \"support\"], \"rows\": [{\"Marital_Status\": \"In Relationship\", \"support\": 122}, {\"Marital_Status\": \"Divorced\", \"support\": 186}, {\"Marital_Status\": \"Single\", \"support\": 417}, {\"Marital_Status\": \"Married\", \"support\": 775}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b8d9a7f6a2cca2df8d6b8c1d06ee0b3276197f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:13.831871+00:00", + "ended_at": "2026-05-19T16:07:26.457080+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_2cfd85e1479bcac8", + "problem_id": "v2p_m1_90f48a507f6d9592", + "dataset_id": "m1", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Marital_Status.", + "bindings": { + "group_col": "Marital_Status", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 10.0, + "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=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_a/m1/sql/v2q_m1_2cfd85e1479bcac8.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_2cfd85e1479bcac8", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 17039, + "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": 11617.0, + "sql_execution_elapsed_ms_total": 1.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/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_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..644348f0d9b3927ae9639d439c08611bda8d5bb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:17.144957+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": 3310.61, "started_at": "2026-05-19T16:07:13.833526+00:00", "ended_at": "2026-05-19T16:07:17.144169+00:00", "prompt_metrics": {"chars": 16319, "bytes_utf8": 16319, "lines": 454, "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\":\"019e40fd-c7ce-7610-a740-566447cb87fc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:26.453918+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": 8306.39, "started_at": "2026-05-19T16:07:18.146741+00:00", "ended_at": "2026-05-19T16:07:26.453172+00:00", "prompt_metrics": {"chars": 16319, "bytes_utf8": 16319, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16691, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 249}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Marital_Status\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Marital_Status\\\"\\nLIMIT 11;\",\"notes\":\"Uses the required Low-Support Group Count template with group_col bound to Marital_Status and top_k set to 11.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5969ce30d9d5ae9433f3a37fd5377224d3751801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_2cfd85e1479bcac8", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 17039, + "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": 11617.0, + "sql_execution_elapsed_ms_total": 1.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_2cfd85e1479bcac8/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_a/m1/artifacts/v2q_m1_3630c87ccc27f385/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e77eb3dff29ff4c404fba75929379e926c5dd86d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/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=Has_Children, group_col_2=Stress_Level. +Result preview: [{"Has_Children": "Yes", "Stress_Level": "7", "row_count": 108}, {"Has_Children": "No", "Stress_Level": "8", "row_count": 105}, {"Has_Children": "No", "Stress_Level": "7", "row_count": 103}, {"Has_Children": "Yes", "Stress_Level": "8", "row_count": 74}, {"Has_Children": "No", "Stress_Level": "9", "row_count": 54}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..588cfc19cc29c1b87e75da88ba2bda312619ce89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_3630c87ccc27f385 +-- problem_id: v2p_m1_eae99f02770d939a +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Stress_Level", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Stress_Level" AS REAL) >= 7.0 +GROUP BY "Has_Children", "Stress_Level" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d48ca2426790a3c1412ebf8eb99c23e8a8c804a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/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 \"Has_Children\", \"Stress_Level\", COUNT(*) AS row_count\nFROM \"m1\"\nWHERE CAST(\"Stress_Level\" AS REAL) >= 7.0\nGROUP BY \"Has_Children\", \"Stress_Level\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Stress_Level\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Stress_Level\\\" AS REAL) >= 7.0\\nGROUP BY \\\"Has_Children\\\", \\\"Stress_Level\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Has_Children\", \"Stress_Level\", \"row_count\"], \"rows\": [{\"Has_Children\": \"Yes\", \"Stress_Level\": \"7\", \"row_count\": 108}, {\"Has_Children\": \"No\", \"Stress_Level\": \"8\", \"row_count\": 105}, {\"Has_Children\": \"No\", \"Stress_Level\": \"7\", \"row_count\": 103}, {\"Has_Children\": \"Yes\", \"Stress_Level\": \"8\", \"row_count\": 74}, {\"Has_Children\": \"No\", \"Stress_Level\": \"9\", \"row_count\": 54}, {\"Has_Children\": \"Yes\", \"Stress_Level\": \"9\", \"row_count\": 32}, {\"Has_Children\": \"No\", \"Stress_Level\": \"10\", \"row_count\": 24}, {\"Has_Children\": \"Yes\", \"Stress_Level\": \"10\", \"row_count\": 14}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d82e9e40ec9a39721289a52603c40b492cf2ab43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:43:44.351376+00:00", + "ended_at": "2026-05-19T15:43:59.811392+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_3630c87ccc27f385", + "problem_id": "v2p_m1_eae99f02770d939a", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Stress_Level.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Stress_Level", + "predicate_col": "Stress_Level", + "predicate_op": ">=", + "predicate_value": 7.0, + "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": 7.0, + "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=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_a/m1/sql/v2q_m1_3630c87ccc27f385.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3630c87ccc27f385", + "api_calls": 0, + "input_tokens": 16778, + "cached_input_tokens": 12032, + "output_tokens": 407, + "total_tokens": 17185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15454.39, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/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_a/m1/artifacts/v2q_m1_3630c87ccc27f385/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9d123d9935cbf8b5ea7c8306955c2dafdf0abab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:59.808132+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": 15454.39, "started_at": "2026-05-19T15:43:44.352568+00:00", "ended_at": "2026-05-19T15:43:59.807031+00:00", "prompt_metrics": {"chars": 16647, "bytes_utf8": 16647, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 500, "bytes_utf8": 500, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16778, "cached_input_tokens": 12032, "output_tokens": 407, "reasoning_output_tokens": 272}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Stress_Level\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Stress_Level\\\" AS REAL) >= 7.0\\nGROUP BY \\\"Has_Children\\\", \\\"Stress_Level\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"Has_Children\\\", group_col_2=\\\"Stress_Level\\\", and predicate on \\\"Stress_Level\\\" >= 7.0. Applied CAST to \\\"Stress_Level\\\" because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..19a6bf01d412239e514e13762077fbde30e07c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3630c87ccc27f385", + "api_calls": 0, + "input_tokens": 16778, + "cached_input_tokens": 12032, + "output_tokens": 407, + "total_tokens": 17185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15454.39, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3630c87ccc27f385/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_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..888ec40bc64ebb29b3c62e8de9aeb392cad47a83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Bachelor Degree", "support": 673, "support_share": 0.44866666666666666, "support_rank": 1}, {"value_label": "Master Degree", "support": 489, "support_share": 0.326, "support_rank": 2}, {"value_label": "Associate Degree", "support": 153, "support_share": 0.102, "support_rank": 3}, {"value_label": "PhD", "support": 88, "support_share": 0.058666666666666666, "support_rank": 4}, {"value_label": "High School", "support": 72, "support_share": 0.048, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e4cbb5ce37595a06d8a953ec177e0c958c9f370 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_3c2b82ce429ef200 +-- problem_id: v2p_m1_47534f1c87fff78a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Education_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Education_Level" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..772da0125776ed4bce6082be9f8e6acc8b5cfabb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_3c2b82ce429ef200\n-- problem_id: v2p_m1_47534f1c87fff78a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Education_Level\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Education_Level\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_3c2b82ce429ef200\\n-- problem_id: v2p_m1_47534f1c87fff78a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Education_Level\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Education_Level\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Bachelor Degree\", \"support\": 673, \"support_share\": 0.44866666666666666, \"support_rank\": 1}, {\"value_label\": \"Master Degree\", \"support\": 489, \"support_share\": 0.326, \"support_rank\": 2}, {\"value_label\": \"Associate Degree\", \"support\": 153, \"support_share\": 0.102, \"support_rank\": 3}, {\"value_label\": \"PhD\", \"support\": 88, \"support_share\": 0.058666666666666666, \"support_rank\": 4}, {\"value_label\": \"High School\", \"support\": 72, \"support_share\": 0.048, \"support_rank\": 5}, {\"value_label\": \"Professional Degree\", \"support\": 25, \"support_share\": 0.016666666666666666, \"support_rank\": 6}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f63565a7868056fd84b615b3eaa63af3df415ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.281393+00:00", + "ended_at": "2026-05-19T16:11:34.282910+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_3c2b82ce429ef200", + "problem_id": "v2p_m1_47534f1c87fff78a", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Education_Level.", + "bindings": { + "group_col": "Education_Level" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3c2b82ce429ef200.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_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3c2b82ce429ef200/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_a/m1/artifacts/v2q_m1_3e4a7433fc061142/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1efc5ae882dd1710fa9d006a599fd219df5f01c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/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=Education_Level, measure_col=WFH_Days_Per_Week. +Result preview: [{"Education_Level": "Associate Degree", "percentile_measure": 5.0}, {"Education_Level": "Bachelor Degree", "percentile_measure": 5.0}, {"Education_Level": "High School", "percentile_measure": 5.0}, {"Education_Level": "Master Degree", "percentile_measure": 5.0}, {"Education_Level": "PhD", "percentile_measure": 5.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a9b5ce02335128aff0258ab3531aaac34a4a56df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/generated_sql.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_3e4a7433fc061142 +-- problem_id: v2p_m1_d7b3919e7a6eb24e +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Education_Level", + CAST("WFH_Days_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Education_Level" + ORDER BY CAST("WFH_Days_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Education_Level") AS "cnt" + FROM "m1" + WHERE "Education_Level" IS NOT NULL + AND TRIM("Education_Level") <> '' + AND "WFH_Days_Per_Week" IS NOT NULL + AND TRIM("WFH_Days_Per_Week") <> '' +), +"group_positions" AS ( + SELECT DISTINCT + "Education_Level", + ((("cnt" - 1) * 0.95) + 1.0) AS "pos", + CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((("cnt" - 1) * 0.95) + 1.0) = CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + THEN CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + ELSE CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +), +"percentile_inputs" AS ( + SELECT + gp."Education_Level", + gp."pos", + MAX(CASE WHEN r."rn" = gp."lower_rn" THEN r."measure_value" END) AS "lower_value", + MAX(CASE WHEN r."rn" = gp."upper_rn" THEN r."measure_value" END) AS "upper_value" + FROM "group_positions" AS gp + JOIN "ranked" AS r + ON r."Education_Level" = gp."Education_Level" + GROUP BY + gp."Education_Level", + gp."pos" +) +SELECT + "Education_Level", + CASE + WHEN "lower_value" IS NULL THEN NULL + WHEN "upper_value" IS NULL OR "pos" = CAST("pos" AS INTEGER) THEN "lower_value" + ELSE "lower_value" + (("pos" - CAST("pos" AS INTEGER)) * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "percentile_inputs" +ORDER BY "percentile_measure" DESC, "Education_Level" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..818ffa5aa9d9bc8b706083b843b440b1cde5fb25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/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 \"Education_Level\",\n CAST(\"WFH_Days_Per_Week\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Education_Level\"\n ORDER BY CAST(\"WFH_Days_Per_Week\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Education_Level\") AS \"cnt\"\n FROM \"m1\"\n WHERE \"Education_Level\" IS NOT NULL\n AND TRIM(\"Education_Level\") <> ''\n AND \"WFH_Days_Per_Week\" IS NOT NULL\n AND TRIM(\"WFH_Days_Per_Week\") <> ''\n),\n\"group_positions\" AS (\n SELECT DISTINCT\n \"Education_Level\",\n (((\"cnt\" - 1) * 0.95) + 1.0) AS \"pos\",\n CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (((\"cnt\" - 1) * 0.95) + 1.0) = CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER)\n THEN CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER)\n ELSE CAST((((\"cnt\" - 1) * 0.95) + 1.0) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"percentile_inputs\" AS (\n SELECT\n gp.\"Education_Level\",\n gp.\"pos\",\n MAX(CASE WHEN r.\"rn\" = gp.\"lower_rn\" THEN r.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = gp.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_value\"\n FROM \"group_positions\" AS gp\n JOIN \"ranked\" AS r\n ON r.\"Education_Level\" = gp.\"Education_Level\"\n GROUP BY\n gp.\"Education_Level\",\n gp.\"pos\"\n)\nSELECT\n \"Education_Level\",\n CASE\n WHEN \"lower_value\" IS NULL THEN NULL\n WHEN \"upper_value\" IS NULL OR \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"percentile_inputs\"\nORDER BY \"percentile_measure\" DESC, \"Education_Level\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Education_Level\\\",\\n CAST(\\\"WFH_Days_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ORDER BY CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Education_Level\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Education_Level\\\" IS NOT NULL\\n AND TRIM(\\\"Education_Level\\\") <> ''\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\n),\\n\\\"group_positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Education_Level\\\",\\n (((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS \\\"pos\\\",\\n CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.95) + 1.0) = CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n THEN CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n ELSE CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"percentile_inputs\\\" AS (\\n SELECT\\n gp.\\\"Education_Level\\\",\\n gp.\\\"pos\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = gp.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = gp.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"group_positions\\\" AS gp\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"Education_Level\\\" = gp.\\\"Education_Level\\\"\\n GROUP BY\\n gp.\\\"Education_Level\\\",\\n gp.\\\"pos\\\"\\n)\\nSELECT\\n \\\"Education_Level\\\",\\n CASE\\n WHEN \\\"lower_value\\\" IS NULL THEN NULL\\n WHEN \\\"upper_value\\\" IS NULL OR \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_inputs\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Education_Level\\\" ASC;\", \"columns\": [\"Education_Level\", \"percentile_measure\"], \"rows\": [{\"Education_Level\": \"Associate Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Bachelor Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"High School\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Master Degree\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"PhD\", \"percentile_measure\": 5.0}, {\"Education_Level\": \"Professional Degree\", \"percentile_measure\": 5.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a3c72b8d31bfc99caaddf72168128ca5522d58a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:53:53.955532+00:00", + "ended_at": "2026-05-19T15:54:37.314118+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_3e4a7433fc061142", + "problem_id": "v2p_m1_d7b3919e7a6eb24e", + "dataset_id": "m1", + "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=Education_Level, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "WFH_Days_Per_Week", + "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": 4.0, + "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_a/m1/sql/v2q_m1_3e4a7433fc061142.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3e4a7433fc061142", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 12032, + "output_tokens": 3039, + "total_tokens": 19768, + "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": 43344.99, + "sql_execution_elapsed_ms_total": 8.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/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_a/m1/artifacts/v2q_m1_3e4a7433fc061142/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..55dc648fa55d783bcd042b52daa787b5f8d6ff8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:37.303254+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": 43344.99, "started_at": "2026-05-19T15:53:53.956887+00:00", "ended_at": "2026-05-19T15:54:37.301910+00:00", "prompt_metrics": {"chars": 16528, "bytes_utf8": 16528, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 2114, "bytes_utf8": 2114, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16729, "cached_input_tokens": 12032, "output_tokens": 3039, "reasoning_output_tokens": 2357}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Education_Level\\\",\\n CAST(\\\"WFH_Days_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Education_Level\\\"\\n ORDER BY CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Education_Level\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Education_Level\\\" IS NOT NULL\\n AND TRIM(\\\"Education_Level\\\") <> ''\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\n),\\n\\\"group_positions\\\" AS (\\n SELECT DISTINCT\\n \\\"Education_Level\\\",\\n (((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS \\\"pos\\\",\\n CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.95) + 1.0) = CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n THEN CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER)\\n ELSE CAST((((\\\"cnt\\\" - 1) * 0.95) + 1.0) AS INTEGER) + 1\\n END AS \\\"upper_r"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7b5ac43d36e7de7158037b13dcbb896cf0f79506 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3e4a7433fc061142", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 12032, + "output_tokens": 3039, + "total_tokens": 19768, + "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": 43344.99, + "sql_execution_elapsed_ms_total": 8.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3e4a7433fc061142/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_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e8cb4f72322fa125aaeddbd55221704e09b3128 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/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=Job_Level, measure_col=Productivity_Score. +Result preview: [{"Job_Level": "Junior", "group_value": 42360.7}, {"Job_Level": "Mid-Level", "group_value": 34885.7}, {"Job_Level": "Senior", "group_value": 28375.5}, {"Job_Level": "Lead", "group_value": 12911.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5e78cbf0d954851de060c84ec99984e2051b9a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_3f7c3281c9980d67 +-- problem_id: v2p_m1_9071d685f2921166 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Job_Level", SUM(CAST("Productivity_Score" AS REAL)) AS group_value + FROM "m1" + WHERE "Job_Level" IS NOT NULL + AND TRIM("Job_Level") <> '' + AND "Productivity_Score" IS NOT NULL + AND TRIM("Productivity_Score") <> '' + GROUP BY "Job_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Job_Level", 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_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be323c3d3ea321128be32d7e3a89fcdcdf6aa8c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/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 \"Job_Level\", SUM(CAST(\"Productivity_Score\" AS REAL)) AS group_value\n FROM \"m1\"\n WHERE \"Job_Level\" IS NOT NULL\n AND TRIM(\"Job_Level\") <> ''\n AND \"Productivity_Score\" IS NOT NULL\n AND TRIM(\"Productivity_Score\") <> ''\n GROUP BY \"Job_Level\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Job_Level\", 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 \\\"Job_Level\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Level\\\" IS NOT NULL\\n AND TRIM(\\\"Job_Level\\\") <> ''\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n AND TRIM(\\\"Productivity_Score\\\") <> ''\\n GROUP BY \\\"Job_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Job_Level\\\", 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\": [\"Job_Level\", \"group_value\"], \"rows\": [{\"Job_Level\": \"Junior\", \"group_value\": 42360.7}, {\"Job_Level\": \"Mid-Level\", \"group_value\": 34885.7}, {\"Job_Level\": \"Senior\", \"group_value\": 28375.5}, {\"Job_Level\": \"Lead\", \"group_value\": 12911.5}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..30a23e598e7537c6528bde2eb06f86f463206e3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:47:59.244697+00:00", + "ended_at": "2026-05-19T15:48:11.700413+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_3f7c3281c9980d67", + "problem_id": "v2p_m1_9071d685f2921166", + "dataset_id": "m1", + "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=Job_Level, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Job_Level", + "measure_col": "Productivity_Score", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 94.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "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_a/m1/sql/v2q_m1_3f7c3281c9980d67.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3f7c3281c9980d67", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 15744, + "output_tokens": 590, + "total_tokens": 17413, + "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": 12446.82, + "sql_execution_elapsed_ms_total": 2.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/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_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2cadaf634c468a08cf434700bd0a809b592a70a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:11.695882+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": 12446.82, "started_at": "2026-05-19T15:47:59.247812+00:00", "ended_at": "2026-05-19T15:48:11.694683+00:00", "prompt_metrics": {"chars": 16897, "bytes_utf8": 16897, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 872, "bytes_utf8": 872, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16823, "cached_input_tokens": 15744, "output_tokens": 590, "reasoning_output_tokens": 361}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Job_Level\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Level\\\" IS NOT NULL\\n AND TRIM(\\\"Job_Level\\\") <> ''\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n AND TRIM(\\\"Productivity_Score\\\") <> ''\\n GROUP BY \\\"Job_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Job_Level\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required relative-to-total threshold template with group_col=\\\"Job_Level\\\" and measure_col=\\\"Productivity_Score\\\". Cast the measure to REAL because the SQLite schema stores it as TEXT, and filtered null/blank values for a stable grouped result.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..339390288d5dbb85cec102d0ad18d110cdbc286d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_3f7c3281c9980d67", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 15744, + "output_tokens": 590, + "total_tokens": 17413, + "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": 12446.82, + "sql_execution_elapsed_ms_total": 2.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3f7c3281c9980d67/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_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a43fdcb2682b7545a02a4da7042b5ae940970e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:38.692758+00:00", + "ended_at": "2026-05-19T16:06:45.598299+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_3fda77aad7fdc9e0", + "problem_id": "v2p_m1_7c0c1fc988b26d12", + "dataset_id": "m1", + "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=WFH_Days_Per_Week.", + "bindings": { + "measure_col": "WFH_Days_Per_Week", + "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": 4.0, + "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=7", + "sql_variant_index=1/1", + "binding_index=114" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fa0d3ccaaa246a766a6a04d401248849643e56e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_3fda77aad7fdc9e0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:41.649020+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": 2953.86, "started_at": "2026-05-19T16:06:38.694310+00:00", "ended_at": "2026-05-19T16:06:41.648201+00:00", "prompt_metrics": {"chars": 16272, "bytes_utf8": 16272, "lines": 454, "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\":\"019e40fd-3e52-7860-889e-1b892a973ecd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:45.598208+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": 2947.34, "started_at": "2026-05-19T16:06:42.650058+00:00", "ended_at": "2026-05-19T16:06:45.597431+00:00", "prompt_metrics": {"chars": 16272, "bytes_utf8": 16272, "lines": 454, "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\":\"019e40fd-4dcb-7ed2-b839-73835fdb2f2c\"}\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_a/m1/artifacts/v2q_m1_426e721685818783/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d44c7053962c7580d9bda3ec4837653dbf486897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/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=Has_Children, group_col_2=Company_Size. +Result preview: [{"Has_Children": "No", "Company_Size": "Large (1001-5000)", "row_count": 68}, {"Has_Children": "No", "Company_Size": "Medium (201-1000)", "row_count": 56}, {"Has_Children": "Yes", "Company_Size": "Large (1001-5000)", "row_count": 47}, {"Has_Children": "No", "Company_Size": "Small (51-200)", "row_count": 42}, {"Has_Children": "Yes", "Company_Size": "Small (51-200)", "row_count": 38}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..32164c70cf993f101c1254971afee6075bf6b4c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_426e721685818783 +-- problem_id: v2p_m1_bc93f5d414bb7757 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Company_Size", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Quality_Score" AS REAL) >= 96.225 +GROUP BY "Has_Children", "Company_Size" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9895e9504eb7ccaecc447c9ef4b7a0a0cd742e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/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 \"Has_Children\", \"Company_Size\", COUNT(*) AS row_count\nFROM \"m1\"\nWHERE CAST(\"Quality_Score\" AS REAL) >= 96.225\nGROUP BY \"Has_Children\", \"Company_Size\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Company_Size\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Quality_Score\\\" AS REAL) >= 96.225\\nGROUP BY \\\"Has_Children\\\", \\\"Company_Size\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Has_Children\", \"Company_Size\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Company_Size\": \"Large (1001-5000)\", \"row_count\": 68}, {\"Has_Children\": \"No\", \"Company_Size\": \"Medium (201-1000)\", \"row_count\": 56}, {\"Has_Children\": \"Yes\", \"Company_Size\": \"Large (1001-5000)\", \"row_count\": 47}, {\"Has_Children\": \"No\", \"Company_Size\": \"Small (51-200)\", \"row_count\": 42}, {\"Has_Children\": \"Yes\", \"Company_Size\": \"Small (51-200)\", \"row_count\": 38}, {\"Has_Children\": \"No\", \"Company_Size\": \"Startup (1-50)\", \"row_count\": 34}, {\"Has_Children\": \"Yes\", \"Company_Size\": \"Medium (201-1000)\", \"row_count\": 32}, {\"Has_Children\": \"Yes\", \"Company_Size\": \"Enterprise (5000+)\", \"row_count\": 20}, {\"Has_Children\": \"Yes\", \"Company_Size\": \"Startup (1-50)\", \"row_count\": 20}, {\"Has_Children\": \"No\", \"Company_Size\": \"Enterprise (5000+)\", \"row_count\": 18}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..862beb01fc96f065337c12ebc3e106345729c60b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:42:38.701646+00:00", + "ended_at": "2026-05-19T15:42:47.930531+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_426e721685818783", + "problem_id": "v2p_m1_bc93f5d414bb7757", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Company_Size.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Company_Size", + "predicate_col": "Quality_Score", + "predicate_op": ">=", + "predicate_value": 96.225, + "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": 96.225, + "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_a/m1/sql/v2q_m1_426e721685818783.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_426e721685818783", + "api_calls": 0, + "input_tokens": 16779, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 17141, + "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": 9224.2, + "sql_execution_elapsed_ms_total": 0.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/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_a/m1/artifacts/v2q_m1_426e721685818783/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc05b6c67b98d5697acf26051f5ea34aa728d08e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:47.928401+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": 9224.2, "started_at": "2026-05-19T15:42:38.703424+00:00", "ended_at": "2026-05-19T15:42:47.927648+00:00", "prompt_metrics": {"chars": 16654, "bytes_utf8": 16654, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 485, "bytes_utf8": 485, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16779, "cached_input_tokens": 12032, "output_tokens": 362, "reasoning_output_tokens": 234}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Company_Size\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Quality_Score\\\" AS REAL) >= 96.225\\nGROUP BY \\\"Has_Children\\\", \\\"Company_Size\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with bound roles Has_Children, Company_Size, and Quality_Score >= 96.225. CAST to REAL is necessary because the SQLite schema stores Quality_Score as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..14e10d13efdefb28c6875db5fefe9545bd125747 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_426e721685818783", + "api_calls": 0, + "input_tokens": 16779, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 17141, + "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": 9224.2, + "sql_execution_elapsed_ms_total": 0.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_426e721685818783/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_a/m1/artifacts/v2q_m1_43ba685f953ecad6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..290cc57d97702e8aa9797aa471f1d49b4a772d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/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=Marital_Status. +Result preview: [{"Marital_Status": "In Relationship", "support": 122}, {"Marital_Status": "Divorced", "support": 186}, {"Marital_Status": "Single", "support": 417}, {"Marital_Status": "Married", "support": 775}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aad8b0f58f9d2aa07db5eb3a093e074e2febed71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_43ba685f953ecad6 +-- problem_id: v2p_m1_5ca9cf689085389a +-- realization_mode: agent +-- source_kind: agent +SELECT + "Marital_Status", + COUNT(*) AS support +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY support ASC, "Marital_Status" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f679cbf628528bbfb8f64dabbc46fc0324b6ed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/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 \"Marital_Status\",\n COUNT(*) AS support\nFROM \"m1\"\nGROUP BY \"Marital_Status\"\nORDER BY support ASC, \"Marital_Status\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Marital_Status\\\",\\n COUNT(*) AS support\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY support ASC, \\\"Marital_Status\\\"\\nLIMIT 16;\", \"columns\": [\"Marital_Status\", \"support\"], \"rows\": [{\"Marital_Status\": \"In Relationship\", \"support\": 122}, {\"Marital_Status\": \"Divorced\", \"support\": 186}, {\"Marital_Status\": \"Single\", \"support\": 417}, {\"Marital_Status\": \"Married\", \"support\": 775}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b537a9d56a9db88e402e9c5e7b85f75bf007c7e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:26.457662+00:00", + "ended_at": "2026-05-19T16:07:34.090758+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_43ba685f953ecad6", + "problem_id": "v2p_m1_5ca9cf689085389a", + "dataset_id": "m1", + "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=Marital_Status.", + "bindings": { + "group_col": "Marital_Status", + "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": 10.0, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_43ba685f953ecad6.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_43ba685f953ecad6", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 12032, + "output_tokens": 281, + "total_tokens": 16974, + "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": 7626.22, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/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_a/m1/artifacts/v2q_m1_43ba685f953ecad6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a59c4fa7df4b61223f126426cba035086ddc93c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:34.087325+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": 7626.22, "started_at": "2026-05-19T16:07:26.459702+00:00", "ended_at": "2026-05-19T16:07:34.085961+00:00", "prompt_metrics": {"chars": 16321, "bytes_utf8": 16321, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 341, "bytes_utf8": 341, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16693, "cached_input_tokens": 12032, "output_tokens": 281, "reasoning_output_tokens": 184}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Marital_Status\\\",\\n COUNT(*) AS support\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY support ASC, \\\"Marital_Status\\\"\\nLIMIT 16;\",\"notes\":\"Applied the planned Low-Support Group Count template with group_col bound to \\\"Marital_Status\\\" and top_k set to 16.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2a9dda406268fce30274401f1fb9fc88f196113c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_43ba685f953ecad6", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 12032, + "output_tokens": 281, + "total_tokens": 16974, + "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": 7626.22, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_43ba685f953ecad6/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_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ee720da2e1df5e6ea179814072d956cb7545f94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/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=Gender, measure_col=Age. +Result preview: [{"Gender": "Female", "total_measure": 26117.0}, {"Gender": "Male", "total_measure": 24714.0}, {"Gender": "Non-binary", "total_measure": 1955.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d2f0d6bfa5f79ef1325de6962ffb03b3cf76f9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_4438bd7ea2f58785 +-- problem_id: v2p_m1_2d5136d1755b9c3b +-- realization_mode: agent +-- source_kind: agent +SELECT "Gender", SUM(CAST("Age" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de27b525015e642e9c1332d6c2f53765acb559cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/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 \"Gender\", SUM(CAST(\"Age\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Gender\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Gender\\\", SUM(CAST(\\\"Age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Gender\", \"total_measure\"], \"rows\": [{\"Gender\": \"Female\", \"total_measure\": 26117.0}, {\"Gender\": \"Male\", \"total_measure\": 24714.0}, {\"Gender\": \"Non-binary\", \"total_measure\": 1955.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a08d9e6b98579c481031f6459cf72d5a09b44903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:28:28.583442+00:00", + "ended_at": "2026-05-19T15:28:36.778303+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_4438bd7ea2f58785", + "problem_id": "v2p_m1_2d5136d1755b9c3b", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Gender, measure_col=Age.", + "bindings": { + "group_col": "Gender", + "measure_col": "Age", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_a/m1/sql/v2q_m1_4438bd7ea2f58785.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4438bd7ea2f58785", + "api_calls": 0, + "input_tokens": 16677, + "cached_input_tokens": 12032, + "output_tokens": 326, + "total_tokens": 17003, + "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": 8187.88, + "sql_execution_elapsed_ms_total": 1.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/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_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b880260a24af6070284950b4c42e5f1da161371 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:36.774033+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": 8187.88, "started_at": "2026-05-19T15:28:28.584732+00:00", "ended_at": "2026-05-19T15:28:36.772648+00:00", "prompt_metrics": {"chars": 16305, "bytes_utf8": 16305, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16677, "cached_input_tokens": 12032, "output_tokens": 326, "reasoning_output_tokens": 232}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Gender\\\", SUM(CAST(\\\"Age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Gender\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"Gender\\\" as the grouping column and cast \\\"Age\\\" from TEXT to REAL before summing for SQLite compatibility.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..de4c11bf7f543d60d0347bdef46ae6d3a0a98a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4438bd7ea2f58785", + "api_calls": 0, + "input_tokens": 16677, + "cached_input_tokens": 12032, + "output_tokens": 326, + "total_tokens": 17003, + "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": 8187.88, + "sql_execution_elapsed_ms_total": 1.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4438bd7ea2f58785/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_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b3b70c94fba0b1e6d699e76d21154043d7073ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/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=Stress_Level, condition_col=Company_Size. +Result preview: [{"Stress_Level": "7", "condition_rate": 0.3222748815165877}, {"Stress_Level": "5", "condition_rate": 0.2795275590551181}, {"Stress_Level": "8", "condition_rate": 0.2681564245810056}, {"Stress_Level": "9", "condition_rate": 0.2558139534883721}, {"Stress_Level": "6", "condition_rate": 0.24605678233438485}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..988bc7d76cd8f40012779816b4306cae3ef2bb0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_46d699e8f5e6e4e1 +-- problem_id: v2p_m1_f74752f6c490e8ec +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", + AVG(CASE WHEN "Company_Size" = 'Large (1001-5000)' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Stress_Level" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6016277745ed617d8ea4363d595f68094c3fbed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/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 \"Stress_Level\",\n AVG(CASE WHEN \"Company_Size\" = 'Large (1001-5000)' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m1\"\nGROUP BY \"Stress_Level\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Stress_Level\\\",\\n AVG(CASE WHEN \\\"Company_Size\\\" = 'Large (1001-5000)' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Stress_Level\", \"condition_rate\"], \"rows\": [{\"Stress_Level\": \"7\", \"condition_rate\": 0.3222748815165877}, {\"Stress_Level\": \"5\", \"condition_rate\": 0.2795275590551181}, {\"Stress_Level\": \"8\", \"condition_rate\": 0.2681564245810056}, {\"Stress_Level\": \"9\", \"condition_rate\": 0.2558139534883721}, {\"Stress_Level\": \"6\", \"condition_rate\": 0.24605678233438485}, {\"Stress_Level\": \"1\", \"condition_rate\": 0.24242424242424243}, {\"Stress_Level\": \"10\", \"condition_rate\": 0.23684210526315788}, {\"Stress_Level\": \"2\", \"condition_rate\": 0.23170731707317074}, {\"Stress_Level\": \"3\", \"condition_rate\": 0.21052631578947367}, {\"Stress_Level\": \"4\", \"condition_rate\": 0.20967741935483872}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..650c61116496a259acfb58b89d522c574a014987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:24.422634+00:00", + "ended_at": "2026-05-19T16:03:34.093339+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_46d699e8f5e6e4e1", + "problem_id": "v2p_m1_f74752f6c490e8ec", + "dataset_id": "m1", + "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=Stress_Level, condition_col=Company_Size.", + "bindings": { + "group_col": "Stress_Level", + "condition_col": "Company_Size", + "condition_value": "Large (1001-5000)", + "positive_value": "Large (1001-5000)", + "negative_value": "Medium (201-1000)", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 41.0, + "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=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_a/m1/sql/v2q_m1_46d699e8f5e6e4e1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_46d699e8f5e6e4e1", + "api_calls": 0, + "input_tokens": 16760, + "cached_input_tokens": 12032, + "output_tokens": 375, + "total_tokens": 17135, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9661.34, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/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_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f58b8263be3dbb06d109900ec733eef212870ed4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:34.086941+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": 9661.34, "started_at": "2026-05-19T16:03:24.423930+00:00", "ended_at": "2026-05-19T16:03:34.085303+00:00", "prompt_metrics": {"chars": 16632, "bytes_utf8": 16632, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16760, "cached_input_tokens": 12032, "output_tokens": 375, "reasoning_output_tokens": 257}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Stress_Level\\\",\\n AVG(CASE WHEN \\\"Company_Size\\\" = 'Large (1001-5000)' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the within-group proportion of rows with Company_Size = 'Large (1001-5000)' for each Stress_Level, following the Grouped Condition Rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9d94893d512e493ca025781f83b9cc5c8287509 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_46d699e8f5e6e4e1", + "api_calls": 0, + "input_tokens": 16760, + "cached_input_tokens": 12032, + "output_tokens": 375, + "total_tokens": 17135, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9661.34, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_46d699e8f5e6e4e1/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_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3719b84b14d518a47667407af605bdc0dbda6ff8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/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=Internet_Speed_Category, measure_col=Work_Life_Balance. +Result preview: [{"Internet_Speed_Category": "Very Fast (100+ Mbps)", "Productivity_Score": "98.0", "total_measure": 1320.0, "share_within_group": 30.711959050721266}, {"Internet_Speed_Category": "Slow (<25 Mbps)", "Productivity_Score": "98.0", "total_measure": 144.0, "share_within_group": 30.573248407643312}, {"Internet_Speed_Category": "Moderate (25-50 Mbps)", "Productivity_Score": "98.0", "total_measure": 384.0, "share_within_group": 27.195467422096318}, {"Internet_Speed_Category": "Fast (50-100 Mbps)", "Productivity_Score": "98.0", "total_measure": 832.0, "share_within_group": 26.404316090130116}, {"Internet_Speed_Category": "Slow (<25 Mbps)", "Productivity_Score": "84.4", "total_measure": 14.0, "share_within_group": 2.9723991507430996}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc1d2f0e2edbb35b567dca10f4747897dca1cb2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_4a5dec0ab4741835 +-- problem_id: v2p_m1_41f74a76b25d3c63 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Internet_Speed_Category", + "Productivity_Score", + SUM(CAST("Work_Life_Balance" AS REAL)) AS total_measure, + SUM(CAST("Work_Life_Balance" AS REAL)) * 100.0 + / SUM(SUM(CAST("Work_Life_Balance" AS REAL))) OVER (PARTITION BY "Internet_Speed_Category") AS share_within_group +FROM "m1" +WHERE "Internet_Speed_Category" IS NOT NULL + AND "Productivity_Score" IS NOT NULL + AND "Work_Life_Balance" IS NOT NULL +GROUP BY "Internet_Speed_Category", "Productivity_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..200e5af1f207e3c1286b63329c9643d86d5e567d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/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 \"Internet_Speed_Category\",\n \"Productivity_Score\",\n SUM(CAST(\"Work_Life_Balance\" AS REAL)) AS total_measure,\n SUM(CAST(\"Work_Life_Balance\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"Work_Life_Balance\" AS REAL))) OVER (PARTITION BY \"Internet_Speed_Category\") AS share_within_group\nFROM \"m1\"\nWHERE \"Internet_Speed_Category\" IS NOT NULL\n AND \"Productivity_Score\" IS NOT NULL\n AND \"Work_Life_Balance\" IS NOT NULL\nGROUP BY \"Internet_Speed_Category\", \"Productivity_Score\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Internet_Speed_Category\\\",\\n \\\"Productivity_Score\\\",\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL))) OVER (PARTITION BY \\\"Internet_Speed_Category\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Internet_Speed_Category\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n AND \\\"Work_Life_Balance\\\" IS NOT NULL\\nGROUP BY \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Internet_Speed_Category\", \"Productivity_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 1320.0, \"share_within_group\": 30.711959050721266}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 144.0, \"share_within_group\": 30.573248407643312}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 384.0, \"share_within_group\": 27.195467422096318}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 832.0, \"share_within_group\": 26.404316090130116}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.4\", \"total_measure\": 14.0, \"share_within_group\": 2.9723991507430996}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"66.2\", \"total_measure\": 13.0, \"share_within_group\": 2.760084925690021}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"54.6\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"72.3\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"74.1\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.3\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"88.6\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"35.0\", \"total_measure\": 28.0, \"share_within_group\": 1.9830028328611897}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"82.5\", \"total_measure\": 9.0, \"share_within_group\": 1.910828025477707}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.5\", \"total_measure\": 9.0, \"share_within_group\": 1.910828025477707}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"65.2\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"71.8\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"77.4\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"78.2\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.9\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"35.0\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"55.8\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"61.7\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"71.5\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"73.4\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"74.7\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"80.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"91.5\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"92.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"96.4\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"97.3\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"97.6\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"95.8\", \"total_measure\": 19.0, \"share_within_group\": 1.3456090651558075}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"73.4\", \"total_measure\": 18.0, \"share_within_group\": 1.274787535410765}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"47.2\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"59.1\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"62.9\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"64.7\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"64.8\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"86.8\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"88.5\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"85.5\", \"total_measure\": 16.0, \"share_within_group\": 1.13314447592068}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"57.7\", \"total_measure\": 15.0, \"share_within_group\": 1.0623229461756374}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"66.4\", \"total_measure\": 15.0, \"share_within_group\": 1.0623229461756374}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"79.8\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"83.6\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.2\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"92.5\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"Productivity_Score\": \"74.7\", \"total_measure\": 45.0, \"share_within_group\": 1.0469986040018613}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"Productivity_Score\": \"93.2\", \"total_measure\": 32.0, \"share_within_group\": 1.0155506188511583}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26d5c135153c1368b573dc89da8d8ba383ee2600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:35:35.195473+00:00", + "ended_at": "2026-05-19T15:35:49.009373+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_4a5dec0ab4741835", + "problem_id": "v2p_m1_41f74a76b25d3c63", + "dataset_id": "m1", + "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=Internet_Speed_Category, measure_col=Work_Life_Balance.", + "bindings": { + "group_col": "Internet_Speed_Category", + "measure_col": "Work_Life_Balance", + "item_col": "Productivity_Score", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 8.0, + "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=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_4a5dec0ab4741835.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4a5dec0ab4741835", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 12032, + "output_tokens": 744, + "total_tokens": 17555, + "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": 13801.51, + "sql_execution_elapsed_ms_total": 6.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/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_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8a14acb200b4c542e7665988c51cb1a012f34c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:49.001104+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": 13801.51, "started_at": "2026-05-19T15:35:35.198661+00:00", "ended_at": "2026-05-19T15:35:49.000209+00:00", "prompt_metrics": {"chars": 16780, "bytes_utf8": 16780, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 826, "bytes_utf8": 826, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16811, "cached_input_tokens": 12032, "output_tokens": 744, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Internet_Speed_Category\\\",\\n \\\"Productivity_Score\\\",\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL))) OVER (PARTITION BY \\\"Internet_Speed_Category\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Internet_Speed_Category\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n AND \\\"Work_Life_Balance\\\" IS NOT NULL\\nGROUP BY \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Internet_Speed_Category\\\", item_col=\\\"Productivity_Score\\\", and measure_col=\\\"Work_Life_Balance\\\". CAST is applied because the schema stores these fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6d7ddbd6e0077fe790cb38acdc39c800eeb413a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4a5dec0ab4741835", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 12032, + "output_tokens": 744, + "total_tokens": 17555, + "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": 13801.51, + "sql_execution_elapsed_ms_total": 6.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4a5dec0ab4741835/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_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f50b79ff5d8675f27edd1fae3c4c96ae11bf4d10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Efficiency_Rating": "95.0", "support": 1006, "avg_response": 5.337972166998012}, {"Efficiency_Rating": "85.9", "support": 8, "avg_response": 1.625}, {"Efficiency_Rating": "93.9", "support": 6, "avg_response": 5.333333333333333}, {"Efficiency_Rating": "88.2", "support": 6, "avg_response": 4.166666666666667}, {"Efficiency_Rating": "84.2", "support": 6, "avg_response": 3.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..55341f619216f5bbb141a5976ba26e6384794b40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_4b97142a314ddcc1 +-- problem_id: v2p_m1_fcb406347ecec240 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Efficiency_Rating", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Efficiency_Rating" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5ba74d35fd6d8e21b174b5bc325f31897bd14ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_4b97142a314ddcc1\n-- problem_id: v2p_m1_fcb406347ecec240\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Efficiency_Rating\",\n COUNT(*) AS support,\n AVG(\"Years_Experience\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Efficiency_Rating\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_4b97142a314ddcc1\\n-- problem_id: v2p_m1_fcb406347ecec240\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Efficiency_Rating\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Years_Experience\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Efficiency_Rating\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Efficiency_Rating\", \"support\", \"avg_response\"], \"rows\": [{\"Efficiency_Rating\": \"95.0\", \"support\": 1006, \"avg_response\": 5.337972166998012}, {\"Efficiency_Rating\": \"85.9\", \"support\": 8, \"avg_response\": 1.625}, {\"Efficiency_Rating\": \"93.9\", \"support\": 6, \"avg_response\": 5.333333333333333}, {\"Efficiency_Rating\": \"88.2\", \"support\": 6, \"avg_response\": 4.166666666666667}, {\"Efficiency_Rating\": \"84.2\", \"support\": 6, \"avg_response\": 3.0}, {\"Efficiency_Rating\": \"79.8\", \"support\": 5, \"avg_response\": 4.0}, {\"Efficiency_Rating\": \"83.7\", \"support\": 5, \"avg_response\": 3.8}, {\"Efficiency_Rating\": \"94.9\", \"support\": 5, \"avg_response\": 3.6}, {\"Efficiency_Rating\": \"89.2\", \"support\": 5, \"avg_response\": 3.0}, {\"Efficiency_Rating\": \"91.3\", \"support\": 5, \"avg_response\": 2.0}, {\"Efficiency_Rating\": \"94.2\", \"support\": 5, \"avg_response\": 0.8}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e54c1e85e510858efee22c9bdff8bbca627a5ab2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.322399+00:00", + "ended_at": "2026-05-19T16:11:34.323905+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_4b97142a314ddcc1", + "problem_id": "v2p_m1_fcb406347ecec240", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Years_Experience, key_col=Efficiency_Rating.", + "bindings": { + "key_col": "Efficiency_Rating", + "measure_col": "Years_Experience", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_4b97142a314ddcc1.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_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4b97142a314ddcc1/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_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2d477fc47009071034db0da2b310c854ee70c70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/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=Internet_Speed_Category, measure_col=Work_Life_Balance. +Result preview: [{"Internet_Speed_Category": "Very Fast (100+ Mbps)", "Productivity_Score": "98.0", "total_measure": 1320.0, "share_within_group": 30.711959050721266}, {"Internet_Speed_Category": "Slow (<25 Mbps)", "Productivity_Score": "98.0", "total_measure": 144.0, "share_within_group": 30.573248407643312}, {"Internet_Speed_Category": "Moderate (25-50 Mbps)", "Productivity_Score": "98.0", "total_measure": 384.0, "share_within_group": 27.195467422096318}, {"Internet_Speed_Category": "Fast (50-100 Mbps)", "Productivity_Score": "98.0", "total_measure": 832.0, "share_within_group": 26.404316090130116}, {"Internet_Speed_Category": "Slow (<25 Mbps)", "Productivity_Score": "84.4", "total_measure": 14.0, "share_within_group": 2.9723991507430996}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c716b8611d173091f92675f70b1c86adf58c6e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_4c4a3b6b2b1121b9 +-- problem_id: v2p_m1_e12e226c54d37784 +-- realization_mode: agent +-- source_kind: agent +SELECT "Internet_Speed_Category", "Productivity_Score", + SUM(CAST("Work_Life_Balance" AS REAL)) AS total_measure, + SUM(CAST("Work_Life_Balance" AS REAL)) * 100.0 / SUM(SUM(CAST("Work_Life_Balance" AS REAL))) OVER (PARTITION BY "Internet_Speed_Category") AS share_within_group +FROM "m1" +GROUP BY "Internet_Speed_Category", "Productivity_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92a5078f5c1b0dfcba2dbfecb1b667c8465398f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/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 \"Internet_Speed_Category\", \"Productivity_Score\",\n SUM(CAST(\"Work_Life_Balance\" AS REAL)) AS total_measure,\n SUM(CAST(\"Work_Life_Balance\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Work_Life_Balance\" AS REAL))) OVER (PARTITION BY \"Internet_Speed_Category\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Internet_Speed_Category\", \"Productivity_Score\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\",\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL))) OVER (PARTITION BY \\\"Internet_Speed_Category\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Internet_Speed_Category\", \"Productivity_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 1320.0, \"share_within_group\": 30.711959050721266}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 144.0, \"share_within_group\": 30.573248407643312}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 384.0, \"share_within_group\": 27.195467422096318}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"Productivity_Score\": \"98.0\", \"total_measure\": 832.0, \"share_within_group\": 26.404316090130116}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.4\", \"total_measure\": 14.0, \"share_within_group\": 2.9723991507430996}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"66.2\", \"total_measure\": 13.0, \"share_within_group\": 2.760084925690021}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"54.6\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"72.3\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"74.1\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.3\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"88.6\", \"total_measure\": 10.0, \"share_within_group\": 2.1231422505307855}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"35.0\", \"total_measure\": 28.0, \"share_within_group\": 1.9830028328611897}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"82.5\", \"total_measure\": 9.0, \"share_within_group\": 1.910828025477707}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.5\", \"total_measure\": 9.0, \"share_within_group\": 1.910828025477707}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"65.2\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"71.8\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"77.4\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"78.2\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.9\", \"total_measure\": 8.0, \"share_within_group\": 1.6985138004246285}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"35.0\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"55.8\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"61.7\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"71.5\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"73.4\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"74.7\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"80.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"91.5\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"92.1\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"96.4\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"97.3\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"97.6\", \"total_measure\": 7.0, \"share_within_group\": 1.4861995753715498}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"95.8\", \"total_measure\": 19.0, \"share_within_group\": 1.3456090651558075}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"73.4\", \"total_measure\": 18.0, \"share_within_group\": 1.274787535410765}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"47.2\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"59.1\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"62.9\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"64.7\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"64.8\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"86.8\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"88.5\", \"total_measure\": 6.0, \"share_within_group\": 1.2738853503184713}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"85.5\", \"total_measure\": 16.0, \"share_within_group\": 1.13314447592068}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"57.7\", \"total_measure\": 15.0, \"share_within_group\": 1.0623229461756374}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"Productivity_Score\": \"66.4\", \"total_measure\": 15.0, \"share_within_group\": 1.0623229461756374}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"79.8\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"83.6\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"84.2\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"Productivity_Score\": \"92.5\", \"total_measure\": 5.0, \"share_within_group\": 1.0615711252653928}, {\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"Productivity_Score\": \"74.7\", \"total_measure\": 45.0, \"share_within_group\": 1.0469986040018613}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"Productivity_Score\": \"93.2\", \"total_measure\": 32.0, \"share_within_group\": 1.0155506188511583}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f2dbdd3f152ae5c8c2204a9e0d7170b2cbcf935e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:35:49.009958+00:00", + "ended_at": "2026-05-19T15:35:59.886934+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_4c4a3b6b2b1121b9", + "problem_id": "v2p_m1_e12e226c54d37784", + "dataset_id": "m1", + "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=Internet_Speed_Category, measure_col=Work_Life_Balance.", + "bindings": { + "group_col": "Internet_Speed_Category", + "measure_col": "Work_Life_Balance", + "item_col": "Productivity_Score", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "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=4", + "sql_variant_index=2/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_4c4a3b6b2b1121b9.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4c4a3b6b2b1121b9", + "api_calls": 0, + "input_tokens": 16812, + "cached_input_tokens": 12032, + "output_tokens": 466, + "total_tokens": 17278, + "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": 10865.21, + "sql_execution_elapsed_ms_total": 6.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/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_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e67197729e925f69e64029396b5618f9ca095c86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:59.878031+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": 10865.21, "started_at": "2026-05-19T15:35:49.011344+00:00", "ended_at": "2026-05-19T15:35:59.876590+00:00", "prompt_metrics": {"chars": 16787, "bytes_utf8": 16787, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 749, "bytes_utf8": 749, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16812, "cached_input_tokens": 12032, "output_tokens": 466, "reasoning_output_tokens": 269}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\",\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Work_Life_Balance\\\" AS REAL))) OVER (PARTITION BY \\\"Internet_Speed_Category\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Internet_Speed_Category\\\", \\\"Productivity_Score\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required Within-Group Share of Total template with bound roles: group_col=\\\"Internet_Speed_Category\\\", item_col=\\\"Productivity_Score\\\", measure_col=\\\"Work_Life_Balance\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5074d25503dd93d0f2fb7af0af08518fbd4a7f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_4c4a3b6b2b1121b9", + "api_calls": 0, + "input_tokens": 16812, + "cached_input_tokens": 12032, + "output_tokens": 466, + "total_tokens": 17278, + "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": 10865.21, + "sql_execution_elapsed_ms_total": 6.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_4c4a3b6b2b1121b9/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_a/m1/artifacts/v2q_m1_508eb46f6a079dec/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..da5f69f49af1fb7bdb8db723c0a7b4926d1edb51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/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=Job_Level, measure_col=Innovation_Score. +Result preview: [{"Job_Level": "Lead", "percentile_measure": 95.0}, {"Job_Level": "Manager", "percentile_measure": 95.0}, {"Job_Level": "Mid-Level", "percentile_measure": 95.0}, {"Job_Level": "Senior", "percentile_measure": 95.0}, {"Job_Level": "Director", "percentile_measure": 93.98}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0208724509dc8e619f298a5c12963aa9409c745c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/generated_sql.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_508eb46f6a079dec +-- problem_id: v2p_m1_8fc08ccdbfcacb48 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Job_Level", + CAST("Innovation_Score" AS REAL) AS "Innovation_Score", + ROW_NUMBER() OVER ( + PARTITION BY "Job_Level" + ORDER BY CAST("Innovation_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Job_Level" + ) AS "cnt" + FROM "m1" + WHERE "Job_Level" IS NOT NULL + AND "Job_Level" <> '' + AND "Innovation_Score" IS NOT NULL + AND "Innovation_Score" <> '' +), +"percentile_params" AS ( + SELECT + "Job_Level", + "Innovation_Score", + "rn", + "cnt", + 1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER) AS "lower_rn", + 1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER) + CASE + WHEN ((("cnt" - 1) * 95) % 100) > 0 THEN 1 + ELSE 0 + END AS "upper_rn", + (1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER)) + (((("cnt" - 1) * 95) % 100) / 100.0) AS "pos" + FROM "ranked" +), +"bounds" AS ( + SELECT + "Job_Level", + MAX(CASE WHEN "rn" = "lower_rn" THEN "Innovation_Score" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "Innovation_Score" END) AS "upper_value", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX("pos") AS "pos" + FROM "percentile_params" + GROUP BY "Job_Level" +) +SELECT + "Job_Level", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d6bf227c2402f1eb7a77d91e831054888da5a6db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Job_Level\",\n CAST(\"Innovation_Score\" AS REAL) AS \"Innovation_Score\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Job_Level\"\n ORDER BY CAST(\"Innovation_Score\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Job_Level\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Job_Level\" IS NOT NULL\n AND \"Job_Level\" <> ''\n AND \"Innovation_Score\" IS NOT NULL\n AND \"Innovation_Score\" <> ''\n),\n\"percentile_params\" AS (\n SELECT\n \"Job_Level\",\n \"Innovation_Score\",\n \"rn\",\n \"cnt\",\n 1 + CAST((((\"cnt\" - 1) * 95) / 100) AS INTEGER) AS \"lower_rn\",\n 1 + CAST((((\"cnt\" - 1) * 95) / 100) AS INTEGER) + CASE\n WHEN (((\"cnt\" - 1) * 95) % 100) > 0 THEN 1\n ELSE 0\n END AS \"upper_rn\",\n (1 + CAST((((\"cnt\" - 1) * 95) / 100) AS INTEGER)) + ((((\"cnt\" - 1) * 95) % 100) / 100.0) AS \"pos\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n \"Job_Level\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"Innovation_Score\" END) AS \"lower_value\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"Innovation_Score\" END) AS \"upper_value\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"upper_rn\") AS \"upper_rn\",\n MAX(\"pos\") AS \"pos\"\n FROM \"percentile_params\"\n GROUP BY \"Job_Level\"\n)\nSELECT\n \"Job_Level\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Job_Level\\\",\\n CAST(\\\"Innovation_Score\\\" AS REAL) AS \\\"Innovation_Score\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Job_Level\\\"\\n ORDER BY CAST(\\\"Innovation_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Job_Level\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Level\\\" IS NOT NULL\\n AND \\\"Job_Level\\\" <> ''\\n AND \\\"Innovation_Score\\\" IS NOT NULL\\n AND \\\"Innovation_Score\\\" <> ''\\n),\\n\\\"percentile_params\\\" AS (\\n SELECT\\n \\\"Job_Level\\\",\\n \\\"Innovation_Score\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER) AS \\\"lower_rn\\\",\\n 1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER) + CASE\\n WHEN (((\\\"cnt\\\" - 1) * 95) % 100) > 0 THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\",\\n (1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER)) + ((((\\\"cnt\\\" - 1) * 95) % 100) / 100.0) AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Job_Level\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"Innovation_Score\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"Innovation_Score\\\" END) AS \\\"upper_value\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"upper_rn\\\") AS \\\"upper_rn\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\"\\n FROM \\\"percentile_params\\\"\\n GROUP BY \\\"Job_Level\\\"\\n)\\nSELECT\\n \\\"Job_Level\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Job_Level\", \"percentile_measure\"], \"rows\": [{\"Job_Level\": \"Lead\", \"percentile_measure\": 95.0}, {\"Job_Level\": \"Manager\", \"percentile_measure\": 95.0}, {\"Job_Level\": \"Mid-Level\", \"percentile_measure\": 95.0}, {\"Job_Level\": \"Senior\", \"percentile_measure\": 95.0}, {\"Job_Level\": \"Director\", \"percentile_measure\": 93.98}, {\"Job_Level\": \"Junior\", \"percentile_measure\": 92.02000000000001}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..06d56fe090e2de3bb4e01c85bbb413c64a2a8198 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:59:11.631294+00:00", + "ended_at": "2026-05-19T16:00:04.161044+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_508eb46f6a079dec", + "problem_id": "v2p_m1_8fc08ccdbfcacb48", + "dataset_id": "m1", + "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=Job_Level, measure_col=Innovation_Score.", + "bindings": { + "group_col": "Job_Level", + "measure_col": "Innovation_Score", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.9, + "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=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "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_a/m1/sql/v2q_m1_508eb46f6a079dec.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_508eb46f6a079dec", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 3294, + "total_tokens": 20015, + "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": 51518.42, + "sql_execution_elapsed_ms_total": 5.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/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_a/m1/artifacts/v2q_m1_508eb46f6a079dec/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f336767c6eb0e391f757aca1ee9853abc7ab3d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:15.012400+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": 3379.09, "started_at": "2026-05-19T15:59:11.632524+00:00", "ended_at": "2026-05-19T15:59:15.011637+00:00", "prompt_metrics": {"chars": 16517, "bytes_utf8": 16517, "lines": 456, "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\":\"019e40f6-6c3d-7b72-b13b-a8dbd03fb8d7\"}\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": "2026-05-19T16:00:04.154349+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": 48139.33, "started_at": "2026-05-19T15:59:16.014121+00:00", "ended_at": "2026-05-19T16:00:04.153493+00:00", "prompt_metrics": {"chars": 16517, "bytes_utf8": 16517, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1879, "bytes_utf8": 1879, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 12032, "output_tokens": 3294, "reasoning_output_tokens": 2683}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Job_Level\\\",\\n CAST(\\\"Innovation_Score\\\" AS REAL) AS \\\"Innovation_Score\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Job_Level\\\"\\n ORDER BY CAST(\\\"Innovation_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Job_Level\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Job_Level\\\" IS NOT NULL\\n AND \\\"Job_Level\\\" <> ''\\n AND \\\"Innovation_Score\\\" IS NOT NULL\\n AND \\\"Innovation_Score\\\" <> ''\\n),\\n\\\"percentile_params\\\" AS (\\n SELECT\\n \\\"Job_Level\\\",\\n \\\"Innovation_Score\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n 1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER) AS \\\"lower_rn\\\",\\n 1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER) + CASE\\n WHEN (((\\\"cnt\\\" - 1) * 95) % 100) > 0 THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\",\\n (1 + CAST((((\\\"cnt\\\" - 1) * 95) / 100) AS INTEGER)) + ((((\\\"cnt\\\" - 1) * 95) % 100) / 100.0) AS \\\"pos\\\"\\n FROM \\\"ranked\\\"\\n)"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5bc0a924331ecdd8a4cd75d21c389cd8dd19f256 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_508eb46f6a079dec", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 3294, + "total_tokens": 20015, + "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": 51518.42, + "sql_execution_elapsed_ms_total": 5.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_508eb46f6a079dec/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_a/m1/artifacts/v2q_m1_53277d01856342f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06102ea2d751b965aeb6892234f198c7f5756bc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/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=Survey_Date, measure_col=Productivity_Score. +Result preview: [{"Survey_Date": "2024-04-16", "Commute_Time_Minutes": "0", "total_measure": 381.8, "share_within_group": 46.69765166340509}, {"Survey_Date": "2024-02-29", "Commute_Time_Minutes": "0", "total_measure": 259.1, "share_within_group": 46.14425645592164}, {"Survey_Date": "2024-01-22", "Commute_Time_Minutes": "0", "total_measure": 428.5, "share_within_group": 44.34899606706686}, {"Survey_Date": "2024-04-15", "Commute_Time_Minutes": "0", "total_measure": 424.4, "share_within_group": 41.75110673880964}, {"Survey_Date": "2024-01-23", "Commute_Time_Minutes": "0", "total_measure": 514.9, "share_within_group": 40.969127943984724}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6da1ecb8a8d1376dde5f807bf32a00241a0eee08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_53277d01856342f6 +-- problem_id: v2p_m1_b1adf7ba4482a0f1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Survey_Date", + "Commute_Time_Minutes", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "Survey_Date") AS "share_within_group" +FROM ( + SELECT + "Survey_Date", + "Commute_Time_Minutes", + SUM(CAST("Productivity_Score" AS REAL)) AS "total_measure" + FROM "m1" + GROUP BY "Survey_Date", "Commute_Time_Minutes" +) +ORDER BY "share_within_group" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7989f02ab7f0abf19ea1ef23141e03bf20fd0b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/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 \"Survey_Date\",\n \"Commute_Time_Minutes\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"Survey_Date\") AS \"share_within_group\"\nFROM (\n SELECT\n \"Survey_Date\",\n \"Commute_Time_Minutes\",\n SUM(CAST(\"Productivity_Score\" AS REAL)) AS \"total_measure\"\n FROM \"m1\"\n GROUP BY \"Survey_Date\", \"Commute_Time_Minutes\"\n)\nORDER BY \"share_within_group\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"Survey_Date\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Survey_Date\\\", \\\"Commute_Time_Minutes\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\", \"columns\": [\"Survey_Date\", \"Commute_Time_Minutes\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Survey_Date\": \"2024-04-16\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 381.8, \"share_within_group\": 46.69765166340509}, {\"Survey_Date\": \"2024-02-29\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 259.1, \"share_within_group\": 46.14425645592164}, {\"Survey_Date\": \"2024-01-22\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 428.5, \"share_within_group\": 44.34899606706686}, {\"Survey_Date\": \"2024-04-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 424.4, \"share_within_group\": 41.75110673880964}, {\"Survey_Date\": \"2024-01-23\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 514.9, \"share_within_group\": 40.969127943984724}, {\"Survey_Date\": \"2024-03-28\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 382.8, \"share_within_group\": 40.54655227200508}, {\"Survey_Date\": \"2024-01-25\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 456.7, \"share_within_group\": 40.30180021178962}, {\"Survey_Date\": \"2024-03-16\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 225.4, \"share_within_group\": 39.83035872062202}, {\"Survey_Date\": \"2024-05-08\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 352.7, \"share_within_group\": 39.31119037004012}, {\"Survey_Date\": \"2024-02-20\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 421.0, \"share_within_group\": 37.54570587710693}, {\"Survey_Date\": \"2024-02-29\", \"Commute_Time_Minutes\": \"48\", \"total_measure\": 200.8, \"share_within_group\": 35.761353517364206}, {\"Survey_Date\": \"2024-03-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 439.1, \"share_within_group\": 35.31162042621632}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..940b7509603569e62f1affa51897c3379addab9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:38:06.627960+00:00", + "ended_at": "2026-05-19T15:38:36.079443+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_53277d01856342f6", + "problem_id": "v2p_m1_b1adf7ba4482a0f1", + "dataset_id": "m1", + "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=Survey_Date, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Survey_Date", + "measure_col": "Productivity_Score", + "item_col": "Commute_Time_Minutes", + "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": 98.0, + "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=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_53277d01856342f6.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_53277d01856342f6", + "api_calls": 0, + "input_tokens": 16807, + "cached_input_tokens": 15744, + "output_tokens": 1883, + "total_tokens": 18690, + "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": 29436.29, + "sql_execution_elapsed_ms_total": 9.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/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_a/m1/artifacts/v2q_m1_53277d01856342f6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd2ec9f116627ddb02803f08b9778aa18d45c8ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:36.067379+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": 29436.29, "started_at": "2026-05-19T15:38:06.629381+00:00", "ended_at": "2026-05-19T15:38:36.065706+00:00", "prompt_metrics": {"chars": 16766, "bytes_utf8": 16766, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 766, "bytes_utf8": 766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16807, "cached_input_tokens": 15744, "output_tokens": 1883, "reasoning_output_tokens": 1671}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"Survey_Date\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Survey_Date\\\", \\\"Commute_Time_Minutes\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 12;\",\"notes\":\"Applied the Within-Group Share of Total template with Survey_Date as the group, Commute_Time_Minutes as the item, and CAST(Productivity_Score AS REAL) because the schema stores numeric values as TEXT. Included LIMIT 12 from the provided bindings.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7fcc08b8ad93bf27249c64ac3107518dedaa5b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_53277d01856342f6", + "api_calls": 0, + "input_tokens": 16807, + "cached_input_tokens": 15744, + "output_tokens": 1883, + "total_tokens": 18690, + "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": 29436.29, + "sql_execution_elapsed_ms_total": 9.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_53277d01856342f6/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_a/m1/artifacts/v2q_m1_5347a3fe8acac887/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..81b59615f542b450a5b52d2ae69a9db5ec72bdce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/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=Stress_Level, measure_col=WFH_Days_Per_Week. +Result preview: [{"Stress_Level": "1", "Innovation_Score": "95.0", "total_measure": 13.0, "share_within_group": 16.049382716049383}, {"Stress_Level": "9", "Innovation_Score": "95.0", "total_measure": 27.0, "share_within_group": 11.894273127753303}, {"Stress_Level": "8", "Innovation_Score": "95.0", "total_measure": 43.0, "share_within_group": 8.464566929133857}, {"Stress_Level": "2", "Innovation_Score": "95.0", "total_measure": 19.0, "share_within_group": 8.11965811965812}, {"Stress_Level": "7", "Innovation_Score": "95.0", "total_measure": 48.0, "share_within_group": 8.108108108108109}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0996a1cb80ea585a74b5a2cb6eecad28e88e0758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5347a3fe8acac887 +-- problem_id: v2p_m1_26bf3cde75ba08a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", "Innovation_Score", + SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL))) OVER (PARTITION BY "Stress_Level") AS "share_within_group" +FROM "m1" +GROUP BY "Stress_Level", "Innovation_Score" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5409b63687a3e01e6448c1c7de3330c79c10ee65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/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 \"Stress_Level\", \"Innovation_Score\",\n SUM(CAST(NULLIF(\"WFH_Days_Per_Week\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"WFH_Days_Per_Week\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"WFH_Days_Per_Week\", '') AS REAL))) OVER (PARTITION BY \"Stress_Level\") AS \"share_within_group\"\nFROM \"m1\"\nGROUP BY \"Stress_Level\", \"Innovation_Score\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Stress_Level\\\", \\\"Innovation_Score\\\",\\n SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL))) OVER (PARTITION BY \\\"Stress_Level\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\", \\\"Innovation_Score\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Stress_Level\", \"Innovation_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Stress_Level\": \"1\", \"Innovation_Score\": \"95.0\", \"total_measure\": 13.0, \"share_within_group\": 16.049382716049383}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"95.0\", \"total_measure\": 27.0, \"share_within_group\": 11.894273127753303}, {\"Stress_Level\": \"8\", \"Innovation_Score\": \"95.0\", \"total_measure\": 43.0, \"share_within_group\": 8.464566929133857}, {\"Stress_Level\": \"2\", \"Innovation_Score\": \"95.0\", \"total_measure\": 19.0, \"share_within_group\": 8.11965811965812}, {\"Stress_Level\": \"7\", \"Innovation_Score\": \"95.0\", \"total_measure\": 48.0, \"share_within_group\": 8.108108108108109}, {\"Stress_Level\": \"6\", \"Innovation_Score\": \"95.0\", \"total_measure\": 67.0, \"share_within_group\": 7.519640852974186}, {\"Stress_Level\": \"4\", \"Innovation_Score\": \"95.0\", \"total_measure\": 44.0, \"share_within_group\": 7.508532423208191}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"59.5\", \"total_measure\": 5.0, \"share_within_group\": 6.172839506172839}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"48.3\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"54.9\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"57.6\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"65.0\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.3\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.6\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.9\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"85.1\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"5\", \"Innovation_Score\": \"95.0\", \"total_measure\": 35.0, \"share_within_group\": 4.827586206896552}, {\"Stress_Level\": \"3\", \"Innovation_Score\": \"95.0\", \"total_measure\": 15.0, \"share_within_group\": 4.587155963302752}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"68.7\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.2\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.8\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"88.4\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"92.2\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"30.8\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"69.2\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"71.4\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"75.1\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"90.4\", \"total_measure\": 8.0, \"share_within_group\": 3.5242290748898677}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"33.5\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"43.0\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"52.1\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"53.2\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"58.4\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"59.7\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"63.8\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"74.6\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"75.5\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.3\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"93.9\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"30.0\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"74.0\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"81.5\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"2\", \"Innovation_Score\": \"86.3\", \"total_measure\": 7.0, \"share_within_group\": 2.9914529914529915}, {\"Stress_Level\": \"3\", \"Innovation_Score\": \"83.1\", \"total_measure\": 9.0, \"share_within_group\": 2.7522935779816513}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"72.9\", \"total_measure\": 6.0, \"share_within_group\": 2.643171806167401}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"58.5\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"71.0\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.1\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.4\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.5\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d11e68dd6b2e31db4f5c5d555c9caf268e33be49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:37:18.996259+00:00", + "ended_at": "2026-05-19T15:37:33.240639+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_5347a3fe8acac887", + "problem_id": "v2p_m1_26bf3cde75ba08a1", + "dataset_id": "m1", + "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=Stress_Level, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "WFH_Days_Per_Week", + "item_col": "Innovation_Score", + "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": 4.0, + "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=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_5347a3fe8acac887.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5347a3fe8acac887", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 15744, + "output_tokens": 718, + "total_tokens": 17528, + "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": 14230.7, + "sql_execution_elapsed_ms_total": 8.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/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_a/m1/artifacts/v2q_m1_5347a3fe8acac887/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8172e8aad4b709d5e02c17b126c190cfebc6339a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:33.229599+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": 14230.7, "started_at": "2026-05-19T15:37:18.997531+00:00", "ended_at": "2026-05-19T15:37:33.228267+00:00", "prompt_metrics": {"chars": 16758, "bytes_utf8": 16758, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 712, "bytes_utf8": 712, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16810, "cached_input_tokens": 15744, "output_tokens": 718, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Stress_Level\\\", \\\"Innovation_Score\\\",\\n SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"WFH_Days_Per_Week\\\", '') AS REAL))) OVER (PARTITION BY \\\"Stress_Level\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\", \\\"Innovation_Score\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Stress_Level\\\", item_col=\\\"Innovation_Score\\\", and measure_col=\\\"WFH_Days_Per_Week\\\". The measure is cast from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f9cbce8ff36ca2fd1dd75c73a8915d0ee8b45e1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5347a3fe8acac887", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 15744, + "output_tokens": 718, + "total_tokens": 17528, + "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": 14230.7, + "sql_execution_elapsed_ms_total": 8.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5347a3fe8acac887/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_a/m1/artifacts/v2q_m1_55fd02977f7294b3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5c6b4dadbca1188a7d9edbb4fa4831db56c1ac1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/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=Department, measure_col=Quality_Score. +Result preview: [{"Department": "Customer Success", "percentile_measure": 100.0}, {"Department": "Data Science", "percentile_measure": 100.0}, {"Department": "Design", "percentile_measure": 100.0}, {"Department": "Engineering", "percentile_measure": 100.0}, {"Department": "Finance", "percentile_measure": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..356ba3a622f3947e7b1bcfbd58659027f96065d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_55fd02977f7294b3 +-- problem_id: v2p_m1_24de298331a3abdf +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Department", + CAST("Quality_Score" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Department" + ORDER BY CAST("Quality_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Department") AS "n" + FROM "m1" + WHERE "Department" IS NOT NULL + AND "Quality_Score" IS NOT NULL +), +"params" AS ( + SELECT + "Department", + "n", + (1.0 + 0.9 * ("n" - 1)) AS "r" + FROM "ordered" + GROUP BY "Department", "n" + HAVING "n" >= 5 +), +"bounds" AS ( + SELECT + "Department", + "n", + "r", + CAST("r" AS INTEGER) AS "lo_rn", + CASE + WHEN "r" = CAST("r" AS INTEGER) THEN CAST("r" AS INTEGER) + ELSE CAST("r" AS INTEGER) + 1 + END AS "hi_rn" + FROM "params" +) +SELECT + b."Department", + CASE + WHEN b."lo_rn" = b."hi_rn" THEN MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure_value" END) * (b."hi_rn" - b."r") + + MAX(CASE WHEN o."rn" = b."hi_rn" THEN o."measure_value" END) * (b."r" - b."lo_rn") + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Department" = b."Department" +GROUP BY b."Department", b."r", b."lo_rn", b."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48b1af01c0478f79956dfab252dc0d14d52189b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/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 \"Department\",\n CAST(\"Quality_Score\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Department\"\n ORDER BY CAST(\"Quality_Score\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Department\") AS \"n\"\n FROM \"m1\"\n WHERE \"Department\" IS NOT NULL\n AND \"Quality_Score\" IS NOT NULL\n),\n\"params\" AS (\n SELECT\n \"Department\",\n \"n\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"r\"\n FROM \"ordered\"\n GROUP BY \"Department\", \"n\"\n HAVING \"n\" >= 5\n),\n\"bounds\" AS (\n SELECT\n \"Department\",\n \"n\",\n \"r\",\n CAST(\"r\" AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN \"r\" = CAST(\"r\" AS INTEGER) THEN CAST(\"r\" AS INTEGER)\n ELSE CAST(\"r\" AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"params\"\n)\nSELECT\n b.\"Department\",\n CASE\n WHEN b.\"lo_rn\" = b.\"hi_rn\" THEN MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure_value\" END) * (b.\"hi_rn\" - b.\"r\") +\n MAX(CASE WHEN o.\"rn\" = b.\"hi_rn\" THEN o.\"measure_value\" END) * (b.\"r\" - b.\"lo_rn\")\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"Department\" = b.\"Department\"\nGROUP BY b.\"Department\", b.\"r\", b.\"lo_rn\", b.\"hi_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n CAST(\\\"Quality_Score\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Department\\\"\\n ORDER BY CAST(\\\"Quality_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Department\\\") AS \\\"n\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Department\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"r\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Department\\\", \\\"n\\\"\\n HAVING \\\"n\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"n\\\",\\n \\\"r\\\",\\n CAST(\\\"r\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN \\\"r\\\" = CAST(\\\"r\\\" AS INTEGER) THEN CAST(\\\"r\\\" AS INTEGER)\\n ELSE CAST(\\\"r\\\" AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"params\\\"\\n)\\nSELECT\\n b.\\\"Department\\\",\\n CASE\\n WHEN b.\\\"lo_rn\\\" = b.\\\"hi_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure_value\\\" END) * (b.\\\"hi_rn\\\" - b.\\\"r\\\") +\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"hi_rn\\\" THEN o.\\\"measure_value\\\" END) * (b.\\\"r\\\" - b.\\\"lo_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"Department\\\" = b.\\\"Department\\\"\\nGROUP BY b.\\\"Department\\\", b.\\\"r\\\", b.\\\"lo_rn\\\", b.\\\"hi_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Department\", \"percentile_measure\"], \"rows\": [{\"Department\": \"Customer Success\", \"percentile_measure\": 100.0}, {\"Department\": \"Data Science\", \"percentile_measure\": 100.0}, {\"Department\": \"Design\", \"percentile_measure\": 100.0}, {\"Department\": \"Engineering\", \"percentile_measure\": 100.0}, {\"Department\": \"Finance\", \"percentile_measure\": 100.0}, {\"Department\": \"HR\", \"percentile_measure\": 100.0}, {\"Department\": \"Marketing\", \"percentile_measure\": 100.0}, {\"Department\": \"Operations\", \"percentile_measure\": 100.0}, {\"Department\": \"Sales\", \"percentile_measure\": 100.0}, {\"Department\": \"Product\", \"percentile_measure\": 97.3}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..162c617996ef83b1a18036dacbffbf845c029864 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:58:28.320963+00:00", + "ended_at": "2026-05-19T15:58:48.181433+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_55fd02977f7294b3", + "problem_id": "v2p_m1_24de298331a3abdf", + "dataset_id": "m1", + "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=Department, measure_col=Quality_Score.", + "bindings": { + "group_col": "Department", + "measure_col": "Quality_Score", + "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": 93.6, + "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_a/m1/sql/v2q_m1_55fd02977f7294b3.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_55fd02977f7294b3", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 1083, + "total_tokens": 17802, + "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": 19848.35, + "sql_execution_elapsed_ms_total": 6.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/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_a/m1/artifacts/v2q_m1_55fd02977f7294b3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03c1ec31145b2f71c42deed421b5a4fb76cbc583 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:48.173357+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": 19848.35, "started_at": "2026-05-19T15:58:28.324047+00:00", "ended_at": "2026-05-19T15:58:48.172439+00:00", "prompt_metrics": {"chars": 16511, "bytes_utf8": 16511, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1819, "bytes_utf8": 1819, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 15744, "output_tokens": 1083, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n CAST(\\\"Quality_Score\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Department\\\"\\n ORDER BY CAST(\\\"Quality_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Department\\\") AS \\\"n\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Department\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"r\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Department\\\", \\\"n\\\"\\n HAVING \\\"n\\\" >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"n\\\",\\n \\\"r\\\",\\n CAST(\\\"r\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN \\\"r\\\" = CAST(\\\"r\\\" AS INTEGER) THEN CAST(\\\"r\\\" AS INTEGER)\\n ELSE CAST(\\\"r\\\" AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"params\\\"\\n)\\nSELECT\\n b.\\\"Department\\\",\\n CASE\\n WHEN b.\\\"lo_rn\\\" = b.\\\"hi_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c7d500a6c44334530b4acbafcb4036381fc749d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_55fd02977f7294b3", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 1083, + "total_tokens": 17802, + "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": 19848.35, + "sql_execution_elapsed_ms_total": 6.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_55fd02977f7294b3/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_a/m1/artifacts/v2q_m1_563c0bca293b80fd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5d73319c5a8c5744aec5ba3c1732391e71bd717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/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=Company_Size, measure_col=Innovation_Score. +Result preview: [{"Company_Size": "Large (1001-5000)", "total_measure": 28289.2}, {"Company_Size": "Medium (201-1000)", "total_measure": 27513.2}, {"Company_Size": "Small (51-200)", "total_measure": 25789.5}, {"Company_Size": "Startup (1-50)", "total_measure": 16516.7}, {"Company_Size": "Enterprise (5000+)", "total_measure": 11123.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c665a4e8fa102dd969aab62faf29237162856baf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_563c0bca293b80fd +-- problem_id: v2p_m1_313a6b682b60e06c +-- realization_mode: agent +-- source_kind: agent +SELECT "Company_Size", SUM(CAST("Innovation_Score" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Company_Size" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60b97300f5dafa4b4cd765c0e3f2f79b3f5fc018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/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 \"Company_Size\", SUM(CAST(\"Innovation_Score\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Company_Size\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Company_Size\\\", SUM(CAST(\\\"Innovation_Score\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Company_Size\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Company_Size\", \"total_measure\"], \"rows\": [{\"Company_Size\": \"Large (1001-5000)\", \"total_measure\": 28289.2}, {\"Company_Size\": \"Medium (201-1000)\", \"total_measure\": 27513.2}, {\"Company_Size\": \"Small (51-200)\", \"total_measure\": 25789.5}, {\"Company_Size\": \"Startup (1-50)\", \"total_measure\": 16516.7}, {\"Company_Size\": \"Enterprise (5000+)\", \"total_measure\": 11123.9}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..63ab19b0f1a1d7d4983e6b134a181e26a4c12ab1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:31:19.223930+00:00", + "ended_at": "2026-05-19T15:31:29.557689+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_563c0bca293b80fd", + "problem_id": "v2p_m1_313a6b682b60e06c", + "dataset_id": "m1", + "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=Company_Size, measure_col=Innovation_Score.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Innovation_Score", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "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_a/m1/sql/v2q_m1_563c0bca293b80fd.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_563c0bca293b80fd", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 326, + "total_tokens": 17009, + "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": 10329.08, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/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_a/m1/artifacts/v2q_m1_563c0bca293b80fd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..211805fdaf6777481acce01a4c0120a5ad97c116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:29.555161+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": 10329.08, "started_at": "2026-05-19T15:31:19.225220+00:00", "ended_at": "2026-05-19T15:31:29.554325+00:00", "prompt_metrics": {"chars": 16344, "bytes_utf8": 16344, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16683, "cached_input_tokens": 12032, "output_tokens": 326, "reasoning_output_tokens": 232}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Company_Size\\\", SUM(CAST(\\\"Innovation_Score\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Company_Size\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with \\\"Company_Size\\\" as the grouping column and casts \\\"Innovation_Score\\\" to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..72c8c8d525fc41ab6ea0ff17643ce9777ec87c62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_563c0bca293b80fd", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 326, + "total_tokens": 17009, + "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": 10329.08, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_563c0bca293b80fd/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_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1086e75e540fd29ea4f65707c19575bbabed006f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Good", "support": 595, "support_share": 0.39666666666666667, "support_rank": 1}, {"value_label": "Average", "support": 452, "support_share": 0.30133333333333334, "support_rank": 2}, {"value_label": "Excellent", "support": 340, "support_share": 0.22666666666666666, "support_rank": 3}, {"value_label": "Poor", "support": 113, "support_share": 0.07533333333333334, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7bde21996d2fba1f721f1bd1a6cfc47d72d68b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_56c58a24ea98ec82 +-- problem_id: v2p_m1_e4a978b2f8bd3fce +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Home_Office_Quality" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Home_Office_Quality" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05ad26a625e2d326b6b550847330b631ecbc7a1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_56c58a24ea98ec82\n-- problem_id: v2p_m1_e4a978b2f8bd3fce\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Home_Office_Quality\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Home_Office_Quality\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_56c58a24ea98ec82\\n-- problem_id: v2p_m1_e4a978b2f8bd3fce\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Home_Office_Quality\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Home_Office_Quality\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Good\", \"support\": 595, \"support_share\": 0.39666666666666667, \"support_rank\": 1}, {\"value_label\": \"Average\", \"support\": 452, \"support_share\": 0.30133333333333334, \"support_rank\": 2}, {\"value_label\": \"Excellent\", \"support\": 340, \"support_share\": 0.22666666666666666, \"support_rank\": 3}, {\"value_label\": \"Poor\", \"support\": 113, \"support_share\": 0.07533333333333334, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..40fb4553671ed2417f8044447a7d5ec25a72111c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.293079+00:00", + "ended_at": "2026-05-19T16:11:34.294468+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_56c58a24ea98ec82", + "problem_id": "v2p_m1_e4a978b2f8bd3fce", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Home_Office_Quality.", + "bindings": { + "group_col": "Home_Office_Quality" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_56c58a24ea98ec82.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_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56c58a24ea98ec82/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_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cbb0622e14c417544f18d015b88e4dd0ed317c3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:27.045441+00:00", + "ended_at": "2026-05-19T16:08:33.812337+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_56cda67062eb4e6b", + "problem_id": "v2p_m1_3903efa2aed2889c", + "dataset_id": "m1", + "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=Job_Level.", + "bindings": { + "group_col": "Job_Level", + "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": 8.0, + "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=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "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_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7910be60590774c92998ad983a2cddb74a76e55a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_56cda67062eb4e6b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:30.080261+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": 3032.57, "started_at": "2026-05-19T16:08:27.046863+00:00", "ended_at": "2026-05-19T16:08:30.079459+00:00", "prompt_metrics": {"chars": 16310, "bytes_utf8": 16310, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-e596-7e02-b729-8f8c71ee59dd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:33.812179+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": 2729.72, "started_at": "2026-05-19T16:08:31.081286+00:00", "ended_at": "2026-05-19T16:08:33.811040+00:00", "prompt_metrics": {"chars": 16310, "bytes_utf8": 16310, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-f55e-7912-aafa-42b8319228fd\"}\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_a/m1/artifacts/v2q_m1_571064e388aefa2b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..826173f6e38b4e58bc5e7da5497a6512cc20dd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Marital_Status, condition_col=WFH_Days_Per_Week. +Result preview: [{"Marital_Status": "In Relationship", "condition_rate": 0.29508196721311475}, {"Marital_Status": "Single", "condition_rate": 0.2302158273381295}, {"Marital_Status": "Married", "condition_rate": 0.21419354838709678}, {"Marital_Status": "Divorced", "condition_rate": 0.17204301075268819}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..54b3eebf56bb97c3108c2070c014166086c1b4b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_571064e388aefa2b +-- problem_id: v2p_m1_c17f63cca3aeec4e +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", + AVG(CASE WHEN "WFH_Days_Per_Week" = '3' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77504a4ef9551c05bd520ef0e80cb12d5fae9473 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/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 \"Marital_Status\",\n AVG(CASE WHEN \"WFH_Days_Per_Week\" = '3' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Marital_Status\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Marital_Status\\\",\\n AVG(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '3' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Marital_Status\", \"condition_rate\"], \"rows\": [{\"Marital_Status\": \"In Relationship\", \"condition_rate\": 0.29508196721311475}, {\"Marital_Status\": \"Single\", \"condition_rate\": 0.2302158273381295}, {\"Marital_Status\": \"Married\", \"condition_rate\": 0.21419354838709678}, {\"Marital_Status\": \"Divorced\", \"condition_rate\": 0.17204301075268819}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6f839c79d3aa6e21b78f2e483736bea67bd45197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:05:42.122819+00:00", + "ended_at": "2026-05-19T16:05:52.828043+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_571064e388aefa2b", + "problem_id": "v2p_m1_c17f63cca3aeec4e", + "dataset_id": "m1", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Marital_Status, condition_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Marital_Status", + "condition_col": "WFH_Days_Per_Week", + "condition_value": "3", + "positive_value": "4", + "negative_value": "3", + "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": 96.225, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_571064e388aefa2b.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_571064e388aefa2b", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 17053, + "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": 10696.96, + "sql_execution_elapsed_ms_total": 2.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/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_a/m1/artifacts/v2q_m1_571064e388aefa2b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..82a56513898f669d1051cd5139811d5a46bef97e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:52.822825+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": 10696.96, "started_at": "2026-05-19T16:05:42.124270+00:00", "ended_at": "2026-05-19T16:05:52.821260+00:00", "prompt_metrics": {"chars": 16597, "bytes_utf8": 16597, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 472, "bytes_utf8": 472, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16754, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 168}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Marital_Status\\\",\\n AVG(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '3' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col bound to Marital_Status and condition_col bound to WFH_Days_Per_Week, measuring the share of rows where WFH_Days_Per_Week equals 3 within each marital-status group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a71d77df77b40ec7a45e1b9aa41ee3be519827e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_571064e388aefa2b", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 17053, + "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": 10696.96, + "sql_execution_elapsed_ms_total": 2.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_571064e388aefa2b/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_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..927d01c6cb4d06573da9724f29bfc54c5f729528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:04.597704+00:00", + "ended_at": "2026-05-19T16:08:12.029124+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_588fd4d411b3cb8b", + "problem_id": "v2p_m1_cb901b24973ce62d", + "dataset_id": "m1", + "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=Department.", + "bindings": { + "group_col": "Department", + "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": 7.0, + "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", + "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_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..298f0f5ebd31a5d5d84e7abc8679c3ab6b9ac0fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_588fd4d411b3cb8b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:07.718028+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": 3117.93, "started_at": "2026-05-19T16:08:04.599371+00:00", "ended_at": "2026-05-19T16:08:07.717327+00:00", "prompt_metrics": {"chars": 16310, "bytes_utf8": 16310, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-8e0d-7272-9dc8-eacf51fe89b2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:12.028963+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3308.93, "started_at": "2026-05-19T16:08:08.719257+00:00", "ended_at": "2026-05-19T16:08:12.028226+00:00", "prompt_metrics": {"chars": 16310, "bytes_utf8": 16310, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-9e1b-7e21-969e-ddceb7780944\"}\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_a/m1/artifacts/v2q_m1_5e630050646101f7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b276f56d058e06c1b2d2a67184e43172e5d4058e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/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=Company_Size, condition_col=Education_Level. +Result preview: [{"Company_Size": "Medium (201-1000)", "condition_ratio": 1.5254237288135593}, {"Company_Size": "Enterprise (5000+)", "condition_ratio": 1.4509803921568627}, {"Company_Size": "Small (51-200)", "condition_ratio": 1.3652173913043477}, {"Company_Size": "Large (1001-5000)", "condition_ratio": 1.297709923664122}, {"Company_Size": "Startup (1-50)", "condition_ratio": 1.2432432432432432}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..15852682b9bc519900294189c4c433fcfc370217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5e630050646101f7 +-- problem_id: v2p_m1_fedb982cb8b8cd94 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Company_Size", + SUM(CASE WHEN "Education_Level" = 'Bachelor Degree' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Education_Level" = 'Master Degree' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Company_Size" +) +SELECT "Company_Size", + 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_a/m1/artifacts/v2q_m1_5e630050646101f7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11d740fc5b034ba13cf526036512997c5d383003 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/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 \"Company_Size\",\n SUM(CASE WHEN \"Education_Level\" = 'Bachelor Degree' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Education_Level\" = 'Master Degree' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m1\"\n GROUP BY \"Company_Size\"\n)\nSELECT \"Company_Size\",\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 \\\"Company_Size\\\",\\n SUM(CASE WHEN \\\"Education_Level\\\" = 'Bachelor Degree' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Education_Level\\\" = 'Master Degree' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Company_Size\\\"\\n)\\nSELECT \\\"Company_Size\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Company_Size\", \"condition_ratio\"], \"rows\": [{\"Company_Size\": \"Medium (201-1000)\", \"condition_ratio\": 1.5254237288135593}, {\"Company_Size\": \"Enterprise (5000+)\", \"condition_ratio\": 1.4509803921568627}, {\"Company_Size\": \"Small (51-200)\", \"condition_ratio\": 1.3652173913043477}, {\"Company_Size\": \"Large (1001-5000)\", \"condition_ratio\": 1.297709923664122}, {\"Company_Size\": \"Startup (1-50)\", \"condition_ratio\": 1.2432432432432432}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b882ab543664c884fcccf4d082ef732340985b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:41:41.015645+00:00", + "ended_at": "2026-05-19T15:41:58.187523+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_5e630050646101f7", + "problem_id": "v2p_m1_fedb982cb8b8cd94", + "dataset_id": "m1", + "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=Company_Size, condition_col=Education_Level.", + "bindings": { + "group_col": "Company_Size", + "condition_col": "Education_Level", + "condition_value": "Bachelor Degree", + "positive_value": "Bachelor Degree", + "negative_value": "Master Degree", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5e630050646101f7.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5e630050646101f7", + "api_calls": 0, + "input_tokens": 16893, + "cached_input_tokens": 15744, + "output_tokens": 503, + "total_tokens": 17396, + "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": 17163.16, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/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_a/m1/artifacts/v2q_m1_5e630050646101f7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..125b8dc558befaac8ff2e0a1854559352b73ff4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:58.181831+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": 17163.16, "started_at": "2026-05-19T15:41:41.017083+00:00", "ended_at": "2026-05-19T15:41:58.180274+00:00", "prompt_metrics": {"chars": 17184, "bytes_utf8": 17184, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16893, "cached_input_tokens": 15744, "output_tokens": 503, "reasoning_output_tokens": 329}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Company_Size\\\",\\n SUM(CASE WHEN \\\"Education_Level\\\" = 'Bachelor Degree' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Education_Level\\\" = 'Master Degree' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Company_Size\\\"\\n)\\nSELECT \\\"Company_Size\\\",\\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 Bachelor Degree to Master Degree records within each Company_Size group; groups with zero Master Degree rows return NULL for the ratio.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74c794759c5045f5de7f28afc3ce2ae1dac9bc86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5e630050646101f7", + "api_calls": 0, + "input_tokens": 16893, + "cached_input_tokens": 15744, + "output_tokens": 503, + "total_tokens": 17396, + "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": 17163.16, + "sql_execution_elapsed_ms_total": 2.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5e630050646101f7/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_a/m1/artifacts/v2q_m1_5fa3a8520733259f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4661d81c9ed8eaa5da3dbb4693b4c6630fa4a601 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/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=Gender, measure_col=Quality_Score. +Result preview: [{"Gender": "Non-binary", "Survey_Date": "2024-05-02", "total_measure": 212.6, "share_within_group": 4.558416775659856}, {"Gender": "Non-binary", "Survey_Date": "2024-04-09", "total_measure": 180.9, "share_within_group": 3.8787281030896894}, {"Gender": "Non-binary", "Survey_Date": "2024-04-30", "total_measure": 172.7, "share_within_group": 3.7029095821093936}, {"Gender": "Non-binary", "Survey_Date": "2024-02-11", "total_measure": 172.1, "share_within_group": 3.690044812281567}, {"Gender": "Non-binary", "Survey_Date": "2024-04-27", "total_measure": 171.2, "share_within_group": 3.6707476575398275}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..699fbb8292e3ddb60b2ecd79f70ecde875c3f83d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5fa3a8520733259f +-- problem_id: v2p_m1_bde509ed979b67a3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + "Survey_Date", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "Gender") AS "share_within_group" +FROM ( + SELECT + "Gender", + "Survey_Date", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure" + FROM "m1" + GROUP BY "Gender", "Survey_Date" +) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3872188847d03cd32beb0233bb6c3ab80a018b7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/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 \"Gender\",\n \"Survey_Date\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"Gender\") AS \"share_within_group\"\nFROM (\n SELECT\n \"Gender\",\n \"Survey_Date\",\n SUM(CAST(\"Quality_Score\" AS REAL)) AS \"total_measure\"\n FROM \"m1\"\n GROUP BY \"Gender\", \"Survey_Date\"\n)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"Gender\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Gender\\\", \\\"Survey_Date\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Gender\", \"Survey_Date\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-05-02\", \"total_measure\": 212.6, \"share_within_group\": 4.558416775659856}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-09\", \"total_measure\": 180.9, \"share_within_group\": 3.8787281030896894}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-30\", \"total_measure\": 172.7, \"share_within_group\": 3.7029095821093936}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-11\", \"total_measure\": 172.1, \"share_within_group\": 3.690044812281567}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-27\", \"total_measure\": 171.2, \"share_within_group\": 3.6707476575398275}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-01-20\", \"total_measure\": 170.6, \"share_within_group\": 3.657882887712001}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-13\", \"total_measure\": 158.3, \"share_within_group\": 3.3941551062415583}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-21\", \"total_measure\": 158.3, \"share_within_group\": 3.3941551062415583}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-31\", \"total_measure\": 151.2, \"share_within_group\": 3.241921996612277}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-21\", \"total_measure\": 150.5, \"share_within_group\": 3.2269130984798133}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-29\", \"total_measure\": 144.0, \"share_within_group\": 3.0875447586783595}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-01-17\", \"total_measure\": 127.3, \"share_within_group\": 2.7294753318038554}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-15\", \"total_measure\": 100.0, \"share_within_group\": 2.1441283046377495}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-10\", \"total_measure\": 100.0, \"share_within_group\": 2.1441283046377495}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-25\", \"total_measure\": 98.9, \"share_within_group\": 2.1205428932867343}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-09\", \"total_measure\": 98.7, \"share_within_group\": 2.116254636677459}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-17\", \"total_measure\": 95.8, \"share_within_group\": 2.054074915842964}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-11\", \"total_measure\": 95.5, \"share_within_group\": 2.047642530929051}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-01\", \"total_measure\": 95.3, \"share_within_group\": 2.0433542743197757}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-25\", \"total_measure\": 94.6, \"share_within_group\": 2.0283453761873114}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-04\", \"total_measure\": 94.4, \"share_within_group\": 2.024057119578036}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-18\", \"total_measure\": 89.1, \"share_within_group\": 1.910418319432235}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-28\", \"total_measure\": 88.7, \"share_within_group\": 1.901841806213684}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-06\", \"total_measure\": 88.5, \"share_within_group\": 1.8975535496044085}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-05-08\", \"total_measure\": 88.1, \"share_within_group\": 1.8889770363858576}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-27\", \"total_measure\": 85.1, \"share_within_group\": 1.824653187246725}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-05-14\", \"total_measure\": 83.6, \"share_within_group\": 1.7924912626771587}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-02-19\", \"total_measure\": 1065.8, \"share_within_group\": 1.7888102850717085}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-16\", \"total_measure\": 82.0, \"share_within_group\": 1.7581852098029547}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-01-15\", \"total_measure\": 81.8, \"share_within_group\": 1.7538969531936792}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-02-15\", \"total_measure\": 1036.6, \"share_within_group\": 1.7398017841108395}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-01-29\", \"total_measure\": 1079.5, \"share_within_group\": 1.7307723140562121}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-07\", \"total_measure\": 79.4, \"share_within_group\": 1.7024378738823736}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-05-04\", \"total_measure\": 988.9, \"share_within_group\": 1.6597433767192837}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-03-25\", \"total_measure\": 1019.0, \"share_within_group\": 1.6337721056260122}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-06\", \"total_measure\": 76.0, \"share_within_group\": 1.6295375115246897}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-04-20\", \"total_measure\": 964.8, \"share_within_group\": 1.619294579693361}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-05-13\", \"total_measure\": 74.7, \"share_within_group\": 1.601663843564399}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-03-10\", \"total_measure\": 925.6999999999999, \"share_within_group\": 1.5536701828587733}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-04-29\", \"total_measure\": 70.8, \"share_within_group\": 1.5180428396835268}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-03-15\", \"total_measure\": 69.9, \"share_within_group\": 1.4987456849417873}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-04-19\", \"total_measure\": 932.8, \"share_within_group\": 1.4955668499783554}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-03-23\", \"total_measure\": 932.1, \"share_within_group\": 1.4944445335171794}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-01-27\", \"total_measure\": 69.6, \"share_within_group\": 1.4923133000278737}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-05-06\", \"total_measure\": 926.7, \"share_within_group\": 1.4857866636738228}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-01-22\", \"total_measure\": 69.2, \"share_within_group\": 1.4837367868093227}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-02-17\", \"total_measure\": 875.7, \"share_within_group\": 1.4697515168298885}, {\"Gender\": \"Female\", \"Survey_Date\": \"2024-02-12\", \"total_measure\": 897.3, \"share_within_group\": 1.4386493723044365}, {\"Gender\": \"Male\", \"Survey_Date\": \"2024-02-18\", \"total_measure\": 837.3, \"share_within_group\": 1.405301981319705}, {\"Gender\": \"Non-binary\", \"Survey_Date\": \"2024-02-24\", \"total_measure\": 64.6, \"share_within_group\": 1.3851068847959862}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ebf92531b48c476fc8a938f8e935c727a7e0e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:39:59.043043+00:00", + "ended_at": "2026-05-19T15:40:20.384251+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_5fa3a8520733259f", + "problem_id": "v2p_m1_bde509ed979b67a3", + "dataset_id": "m1", + "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=Gender, measure_col=Quality_Score.", + "bindings": { + "group_col": "Gender", + "measure_col": "Quality_Score", + "item_col": "Survey_Date", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5fa3a8520733259f.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5fa3a8520733259f", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 1148, + "total_tokens": 17947, + "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": 21328.56, + "sql_execution_elapsed_ms_total": 5.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/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_a/m1/artifacts/v2q_m1_5fa3a8520733259f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01aabd19cd42e304ed4dc19beeafab7ebda80e76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:20.375618+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": 21328.56, "started_at": "2026-05-19T15:39:59.045348+00:00", "ended_at": "2026-05-19T15:40:20.373948+00:00", "prompt_metrics": {"chars": 16734, "bytes_utf8": 16734, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 671, "bytes_utf8": 671, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 15744, "output_tokens": 1148, "reasoning_output_tokens": 958}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"Gender\\\") AS \\\"share_within_group\\\"\\nFROM (\\n SELECT\\n \\\"Gender\\\",\\n \\\"Survey_Date\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Gender\\\", \\\"Survey_Date\\\"\\n)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"Gender\\\", item_col=\\\"Survey_Date\\\", and measure_col=\\\"Quality_Score\\\". \\\"Quality_Score\\\" is cast to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8028d7c0b418b9061aaacded9a98a48bd6d07ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_5fa3a8520733259f", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 1148, + "total_tokens": 17947, + "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": 21328.56, + "sql_execution_elapsed_ms_total": 5.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_5fa3a8520733259f/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_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a4a90a98cff6b8b050b25e08523c1ea5b45898c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/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=Years_Experience. +Result preview: [{"empirical_cdf_at_threshold": 0.7866666666666666}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bec5fd5db6a30c6fa26c19aae05b00173cd20af1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_61933d4a3f5a053d +-- problem_id: v2p_m1_653c47a92154cfce +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("Years_Experience" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m1"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c11ac259814c6fa946be28511948209b5a7f5a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/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(\"Years_Experience\" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m1\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Years_Experience\\\" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m1\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7866666666666666}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac3ab39f712c2169b526ddfe2448156222e2ad50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:30.861647+00:00", + "ended_at": "2026-05-19T16:06:38.692085+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_61933d4a3f5a053d", + "problem_id": "v2p_m1_653c47a92154cfce", + "dataset_id": "m1", + "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=Years_Experience.", + "bindings": { + "measure_col": "Years_Experience", + "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": 7.0, + "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=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_61933d4a3f5a053d.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_61933d4a3f5a053d", + "api_calls": 0, + "input_tokens": 16672, + "cached_input_tokens": 15744, + "output_tokens": 253, + "total_tokens": 16925, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7825.23, + "sql_execution_elapsed_ms_total": 0.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/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_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fb62e1e7737bfea3d1eab6218d6dc93a93a2d0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:38.689351+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": 7825.23, "started_at": "2026-05-19T16:06:30.863125+00:00", "ended_at": "2026-05-19T16:06:38.688380+00:00", "prompt_metrics": {"chars": 16269, "bytes_utf8": 16269, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 386, "bytes_utf8": 386, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16672, "cached_input_tokens": 15744, "output_tokens": 253, "reasoning_output_tokens": 145}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"Years_Experience\\\" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m1\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col bound to \\\"Years_Experience\\\" and threshold 7.0. Cast to REAL because the schema snapshot shows this column is stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1da1f504a54b060eb1bd500495e737ddb647a430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_61933d4a3f5a053d", + "api_calls": 0, + "input_tokens": 16672, + "cached_input_tokens": 15744, + "output_tokens": 253, + "total_tokens": 16925, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7825.23, + "sql_execution_elapsed_ms_total": 0.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_61933d4a3f5a053d/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_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..03658a3a23bc9cd1bbc149701c46dda490d48071 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:57.399477+00:00", + "ended_at": "2026-05-19T16:08:04.597272+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_63eec9d01f0a78f0", + "problem_id": "v2p_m1_e11d937a6c29d159", + "dataset_id": "m1", + "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=Location_Type.", + "bindings": { + "group_col": "Location_Type", + "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": 100.0, + "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", + "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_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..392173591f4879f63c6ad4e2c360de485e6dfd32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_63eec9d01f0a78f0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:00.310980+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": 2908.69, "started_at": "2026-05-19T16:07:57.401019+00:00", "ended_at": "2026-05-19T16:08:00.309743+00:00", "prompt_metrics": {"chars": 16320, "bytes_utf8": 16320, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-71ee-7282-9b70-72a4847a154a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:04.597173+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": 3284.1, "started_at": "2026-05-19T16:08:01.311967+00:00", "ended_at": "2026-05-19T16:08:04.596099+00:00", "prompt_metrics": {"chars": 16320, "bytes_utf8": 16320, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-8125-7623-970b-dcb36ca9b2cd\"}\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_a/m1/artifacts/v2q_m1_66bccadb790a3123/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7dcee8072a0418f4c45634cdf8e801dcc7b5eed2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/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=Survey_Date, measure_col=Productivity_Score. +Result preview: [{"Survey_Date": "2024-04-16", "Commute_Time_Minutes": "0", "total_measure": 381.8, "share_within_group": 46.69765166340509}, {"Survey_Date": "2024-02-29", "Commute_Time_Minutes": "0", "total_measure": 259.1, "share_within_group": 46.14425645592164}, {"Survey_Date": "2024-01-22", "Commute_Time_Minutes": "0", "total_measure": 428.5, "share_within_group": 44.34899606706686}, {"Survey_Date": "2024-04-15", "Commute_Time_Minutes": "0", "total_measure": 424.4, "share_within_group": 41.75110673880964}, {"Survey_Date": "2024-01-23", "Commute_Time_Minutes": "0", "total_measure": 514.9, "share_within_group": 40.969127943984724}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9cf298fcbc2e5fa0247133e9dcb7f51b8d5f5595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_66bccadb790a3123 +-- problem_id: v2p_m1_36f31961263eaac2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Survey_Date", + "Commute_Time_Minutes", + SUM(CAST("Productivity_Score" AS REAL)) AS total_measure, + SUM(CAST("Productivity_Score" AS REAL)) * 100.0 / SUM(SUM(CAST("Productivity_Score" AS REAL))) OVER (PARTITION BY "Survey_Date") AS share_within_group +FROM "m1" +GROUP BY "Survey_Date", "Commute_Time_Minutes" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2512a7d1089cddbd4ddc0d2ab093922fff4a5ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/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 \"Survey_Date\",\n \"Commute_Time_Minutes\",\n SUM(CAST(\"Productivity_Score\" AS REAL)) AS total_measure,\n SUM(CAST(\"Productivity_Score\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Productivity_Score\" AS REAL))) OVER (PARTITION BY \"Survey_Date\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Survey_Date\", \"Commute_Time_Minutes\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Productivity_Score\\\" AS REAL))) OVER (PARTITION BY \\\"Survey_Date\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\", \\\"Commute_Time_Minutes\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Survey_Date\", \"Commute_Time_Minutes\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Survey_Date\": \"2024-04-16\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 381.8, \"share_within_group\": 46.69765166340509}, {\"Survey_Date\": \"2024-02-29\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 259.1, \"share_within_group\": 46.14425645592164}, {\"Survey_Date\": \"2024-01-22\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 428.5, \"share_within_group\": 44.34899606706686}, {\"Survey_Date\": \"2024-04-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 424.4, \"share_within_group\": 41.75110673880964}, {\"Survey_Date\": \"2024-01-23\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 514.9, \"share_within_group\": 40.969127943984724}, {\"Survey_Date\": \"2024-03-28\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 382.8, \"share_within_group\": 40.54655227200508}, {\"Survey_Date\": \"2024-01-25\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 456.7, \"share_within_group\": 40.30180021178962}, {\"Survey_Date\": \"2024-03-16\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 225.4, \"share_within_group\": 39.83035872062202}, {\"Survey_Date\": \"2024-05-08\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 352.7, \"share_within_group\": 39.31119037004012}, {\"Survey_Date\": \"2024-02-20\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 421.0, \"share_within_group\": 37.54570587710693}, {\"Survey_Date\": \"2024-02-29\", \"Commute_Time_Minutes\": \"48\", \"total_measure\": 200.8, \"share_within_group\": 35.761353517364206}, {\"Survey_Date\": \"2024-03-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 439.1, \"share_within_group\": 35.31162042621632}, {\"Survey_Date\": \"2024-03-31\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 421.3, \"share_within_group\": 34.927872657934}, {\"Survey_Date\": \"2024-04-23\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 242.3, \"share_within_group\": 34.33956916099773}, {\"Survey_Date\": \"2024-03-23\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 434.0, \"share_within_group\": 33.64862769421616}, {\"Survey_Date\": \"2024-04-21\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 459.0, \"share_within_group\": 32.41525423728814}, {\"Survey_Date\": \"2024-05-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 434.6, \"share_within_group\": 30.685589211325286}, {\"Survey_Date\": \"2024-02-15\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 551.1, \"share_within_group\": 30.230389467910037}, {\"Survey_Date\": \"2024-03-05\", \"Commute_Time_Minutes\": \"23\", \"total_measure\": 95.7, \"share_within_group\": 29.674418604651162}, {\"Survey_Date\": \"2024-02-01\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 173.6, \"share_within_group\": 28.646864686468646}, {\"Survey_Date\": \"2024-05-13\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 281.3, \"share_within_group\": 28.175080128205128}, {\"Survey_Date\": \"2024-03-18\", \"Commute_Time_Minutes\": \"44\", \"total_measure\": 173.39999999999998, \"share_within_group\": 27.726255196674124}, {\"Survey_Date\": \"2024-02-19\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 405.4, \"share_within_group\": 27.723449360596323}, {\"Survey_Date\": \"2024-03-17\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 374.7, \"share_within_group\": 27.478732766207102}, {\"Survey_Date\": \"2024-03-21\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 217.2, \"share_within_group\": 27.362055933484505}, {\"Survey_Date\": \"2024-01-28\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 324.9, \"share_within_group\": 27.20877648438154}, {\"Survey_Date\": \"2024-01-26\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 283.9, \"share_within_group\": 25.998168498168496}, {\"Survey_Date\": \"2024-04-12\", \"Commute_Time_Minutes\": \"47\", \"total_measure\": 275.7, \"share_within_group\": 25.911654135338345}, {\"Survey_Date\": \"2024-02-05\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 177.7, \"share_within_group\": 25.851032877509457}, {\"Survey_Date\": \"2024-03-02\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 186.8, \"share_within_group\": 25.48778823850457}, {\"Survey_Date\": \"2024-02-05\", \"Commute_Time_Minutes\": \"11\", \"total_measure\": 174.9, \"share_within_group\": 25.443700901949374}, {\"Survey_Date\": \"2024-03-05\", \"Commute_Time_Minutes\": \"35\", \"total_measure\": 81.4, \"share_within_group\": 25.240310077519382}, {\"Survey_Date\": \"2024-04-11\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 222.8, \"share_within_group\": 24.857748521700326}, {\"Survey_Date\": \"2024-03-05\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 77.6, \"share_within_group\": 24.062015503875966}, {\"Survey_Date\": \"2024-05-12\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 290.6, \"share_within_group\": 23.94134124237931}, {\"Survey_Date\": \"2024-02-28\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 182.3, \"share_within_group\": 23.63848547717842}, {\"Survey_Date\": \"2024-03-12\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 167.8, \"share_within_group\": 23.617171006333567}, {\"Survey_Date\": \"2024-03-06\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 343.0, \"share_within_group\": 23.594964573158148}, {\"Survey_Date\": \"2024-02-04\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 360.4, \"share_within_group\": 23.578671900556103}, {\"Survey_Date\": \"2024-02-23\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 244.8, \"share_within_group\": 23.29210275927688}, {\"Survey_Date\": \"2024-05-07\", \"Commute_Time_Minutes\": \"32\", \"total_measure\": 196.0, \"share_within_group\": 23.253054929410368}, {\"Survey_Date\": \"2024-01-27\", \"Commute_Time_Minutes\": \"14\", \"total_measure\": 170.7, \"share_within_group\": 23.24346405228758}, {\"Survey_Date\": \"2024-03-01\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 187.3, \"share_within_group\": 23.15776458951533}, {\"Survey_Date\": \"2024-04-07\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 226.8, \"share_within_group\": 22.94153348169128}, {\"Survey_Date\": \"2024-01-19\", \"Commute_Time_Minutes\": \"32\", \"total_measure\": 144.0, \"share_within_group\": 22.49648492423059}, {\"Survey_Date\": \"2024-05-11\", \"Commute_Time_Minutes\": \"50\", \"total_measure\": 193.1, \"share_within_group\": 22.430015100476247}, {\"Survey_Date\": \"2024-02-02\", \"Commute_Time_Minutes\": \"18\", \"total_measure\": 98.0, \"share_within_group\": 22.161917684305745}, {\"Survey_Date\": \"2024-03-22\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 144.6, \"share_within_group\": 22.160919540229884}, {\"Survey_Date\": \"2024-02-08\", \"Commute_Time_Minutes\": \"0\", \"total_measure\": 250.7, \"share_within_group\": 22.03956043956044}, {\"Survey_Date\": \"2024-05-05\", \"Commute_Time_Minutes\": \"38\", \"total_measure\": 196.0, \"share_within_group\": 21.919033773205097}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5a3a3084dce1925a4698229c90da3624b2c4334d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:38:36.080663+00:00", + "ended_at": "2026-05-19T15:38:58.102191+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_66bccadb790a3123", + "problem_id": "v2p_m1_36f31961263eaac2", + "dataset_id": "m1", + "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=Survey_Date, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Survey_Date", + "measure_col": "Productivity_Score", + "item_col": "Commute_Time_Minutes", + "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": 94.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_66bccadb790a3123.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_66bccadb790a3123", + "api_calls": 0, + "input_tokens": 16806, + "cached_input_tokens": 15744, + "output_tokens": 1348, + "total_tokens": 18154, + "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": 22011.17, + "sql_execution_elapsed_ms_total": 4.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/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_a/m1/artifacts/v2q_m1_66bccadb790a3123/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd0fb831abbcef45bad678e588aca7afc66338dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:58.095648+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": 22011.17, "started_at": "2026-05-19T15:38:36.083527+00:00", "ended_at": "2026-05-19T15:38:58.094742+00:00", "prompt_metrics": {"chars": 16763, "bytes_utf8": 16763, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 634, "bytes_utf8": 634, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16806, "cached_input_tokens": 15744, "output_tokens": 1348, "reasoning_output_tokens": 1171}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT\\n \\\"Survey_Date\\\",\\n \\\"Commute_Time_Minutes\\\",\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Productivity_Score\\\" AS REAL))) OVER (PARTITION BY \\\"Survey_Date\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\", \\\"Commute_Time_Minutes\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned Within-Group Share of Total template with Survey_Date as group_col, Commute_Time_Minutes as item_col, and cast Productivity_Score from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f411d3784de67f8476fc5757534214dac07766c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_66bccadb790a3123", + "api_calls": 0, + "input_tokens": 16806, + "cached_input_tokens": 15744, + "output_tokens": 1348, + "total_tokens": 18154, + "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": 22011.17, + "sql_execution_elapsed_ms_total": 4.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_66bccadb790a3123/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_a/m1/artifacts/v2q_m1_67696c2d3dd72808/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_67696c2d3dd72808/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..37054f1fb9c6d81d4956fa79c6620a34b1fcee22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_67696c2d3dd72808/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:06.612825+00:00", + "ended_at": "2026-05-19T16:07:13.831501+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_67696c2d3dd72808", + "problem_id": "v2p_m1_de77f9da4b7f8b7d", + "dataset_id": "m1", + "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": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Education_Level.", + "bindings": { + "group_col": "Education_Level", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 95.0, + "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=2/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_67696c2d3dd72808/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_67696c2d3dd72808/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a57952f54ab59e9c3ae28d3a8c4eab17c63dcb68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_67696c2d3dd72808/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:09.586471+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": 2969.91, "started_at": "2026-05-19T16:07:06.615690+00:00", "ended_at": "2026-05-19T16:07:09.585622+00:00", "prompt_metrics": {"chars": 16323, "bytes_utf8": 16323, "lines": 454, "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\":\"019e40fd-ab81-7ba1-ae92-b8babdbe5d16\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:13.831409+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": 3242.28, "started_at": "2026-05-19T16:07:10.588288+00:00", "ended_at": "2026-05-19T16:07:13.830607+00:00", "prompt_metrics": {"chars": 16323, "bytes_utf8": 16323, "lines": 454, "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\":\"019e40fd-bb0c-77c0-b27e-c1d03bf35364\"}\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_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2556467b59b18030cadb95cfa85feca1c7d041c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/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=Department, condition_col=WFH_Days_Per_Week. +Result preview: [{"Department": "Finance", "condition_ratio": 2.176470588235294}, {"Department": "Marketing", "condition_ratio": 1.9285714285714286}, {"Department": "Customer Success", "condition_ratio": 1.4090909090909092}, {"Department": "Product", "condition_ratio": 1.3571428571428572}, {"Department": "Operations", "condition_ratio": 1.2258064516129032}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b933c8e70b48c220470cb7dd758cbea56aa17e11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_68d2671f1c6b9080 +-- problem_id: v2p_m1_f08e9651cab89770 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Department", + SUM(CASE WHEN "WFH_Days_Per_Week" = '4' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "WFH_Days_Per_Week" = '3' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Department" +) +SELECT "Department", + 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_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b94a14db6c49040d468ee3badabcd58b11bd69f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/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 \"Department\",\n SUM(CASE WHEN \"WFH_Days_Per_Week\" = '4' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"WFH_Days_Per_Week\" = '3' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m1\"\n GROUP BY \"Department\"\n)\nSELECT \"Department\",\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 \\\"Department\\\",\\n SUM(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '4' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '3' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n)\\nSELECT \\\"Department\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Department\", \"condition_ratio\"], \"rows\": [{\"Department\": \"Finance\", \"condition_ratio\": 2.176470588235294}, {\"Department\": \"Marketing\", \"condition_ratio\": 1.9285714285714286}, {\"Department\": \"Customer Success\", \"condition_ratio\": 1.4090909090909092}, {\"Department\": \"Product\", \"condition_ratio\": 1.3571428571428572}, {\"Department\": \"Operations\", \"condition_ratio\": 1.2258064516129032}, {\"Department\": \"Engineering\", \"condition_ratio\": 1.169811320754717}, {\"Department\": \"Sales\", \"condition_ratio\": 1.0612244897959184}, {\"Department\": \"HR\", \"condition_ratio\": 0.8275862068965517}, {\"Department\": \"Data Science\", \"condition_ratio\": 0.8}, {\"Department\": \"Design\", \"condition_ratio\": 0.7368421052631579}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3e7afb705a82ef74bcdbf8fe16902788673c347d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:41:09.669782+00:00", + "ended_at": "2026-05-19T15:41:26.601008+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_68d2671f1c6b9080", + "problem_id": "v2p_m1_f08e9651cab89770", + "dataset_id": "m1", + "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=Department, condition_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Department", + "condition_col": "WFH_Days_Per_Week", + "condition_value": "4", + "positive_value": "4", + "negative_value": "3", + "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": 100.0, + "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_a/m1/sql/v2q_m1_68d2671f1c6b9080.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_68d2671f1c6b9080", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 698, + "total_tokens": 17596, + "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": 16924.64, + "sql_execution_elapsed_ms_total": 2.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/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_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6f03debe31b8d09e375def682e7ea93ee78291c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:26.596901+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": 16924.64, "started_at": "2026-05-19T15:41:09.671033+00:00", "ended_at": "2026-05-19T15:41:26.595702+00:00", "prompt_metrics": {"chars": 17146, "bytes_utf8": 17146, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 763, "bytes_utf8": 763, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16898, "cached_input_tokens": 15744, "output_tokens": 698, "reasoning_output_tokens": 480}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"Department\\\",\\n SUM(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '4' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"WFH_Days_Per_Week\\\" = '3' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n)\\nSELECT \\\"Department\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applies the grouped ratio template with Department as the group and computes count(WFH_Days_Per_Week='4') divided by count(WFH_Days_Per_Week='3'). String literals are used because the column is stored as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cc6658457d15270740927dee0edf0cf101a7f9e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_68d2671f1c6b9080", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 698, + "total_tokens": 17596, + "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": 16924.64, + "sql_execution_elapsed_ms_total": 2.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68d2671f1c6b9080/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_a/m1/artifacts/v2q_m1_68e5472b127cd84d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddbeabf13ed6b7f38395dd92cdfe6c2846bb98bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/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=Manager_Support_Level, measure_col=Age. +Result preview: [{"Manager_Support_Level": "Very High", "Task_Completion_Rate": "100.0", "total_measure": 2034.0, "share_within_group": 22.723718020332925}, {"Manager_Support_Level": "High", "Task_Completion_Rate": "100.0", "total_measure": 3257.0, "share_within_group": 18.77991120336735}, {"Manager_Support_Level": "Moderate", "Task_Completion_Rate": "100.0", "total_measure": 2610.0, "share_within_group": 13.68570080226522}, {"Manager_Support_Level": "Low", "Task_Completion_Rate": "100.0", "total_measure": 675.0, "share_within_group": 11.000651890482398}, {"Manager_Support_Level": "Very Low", "Task_Completion_Rate": "85.9", "total_measure": 85.0, "share_within_group": 6.614785992217898}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..86d0bc89751f569c1bec16a99c6c79d8bc113de3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_68e5472b127cd84d +-- problem_id: v2p_m1_01377c0d819cfef9 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", "Task_Completion_Rate", + SUM(CAST("Age" AS REAL)) AS total_measure, + SUM(CAST("Age" AS REAL)) * 100.0 / SUM(SUM(CAST("Age" AS REAL))) OVER (PARTITION BY "Manager_Support_Level") AS share_within_group +FROM "m1" +GROUP BY "Manager_Support_Level", "Task_Completion_Rate" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c4a67e3f86e1d073e04af834289d2e1fe58de6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/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 \"Manager_Support_Level\", \"Task_Completion_Rate\",\n SUM(CAST(\"Age\" AS REAL)) AS total_measure,\n SUM(CAST(\"Age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Age\" AS REAL))) OVER (PARTITION BY \"Manager_Support_Level\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Manager_Support_Level\", \"Task_Completion_Rate\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Manager_Support_Level\\\", \\\"Task_Completion_Rate\\\",\\n SUM(CAST(\\\"Age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Age\\\" AS REAL))) OVER (PARTITION BY \\\"Manager_Support_Level\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\", \\\"Task_Completion_Rate\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Manager_Support_Level\", \"Task_Completion_Rate\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 2034.0, \"share_within_group\": 22.723718020332925}, {\"Manager_Support_Level\": \"High\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 3257.0, \"share_within_group\": 18.77991120336735}, {\"Manager_Support_Level\": \"Moderate\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 2610.0, \"share_within_group\": 13.68570080226522}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 675.0, \"share_within_group\": 11.000651890482398}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"85.9\", \"total_measure\": 85.0, \"share_within_group\": 6.614785992217898}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 69.0, \"share_within_group\": 5.36964980544747}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"66.7\", \"total_measure\": 50.0, \"share_within_group\": 3.8910505836575875}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"55.1\", \"total_measure\": 48.0, \"share_within_group\": 3.735408560311284}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"84.0\", \"total_measure\": 48.0, \"share_within_group\": 3.735408560311284}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"56.6\", \"total_measure\": 41.0, \"share_within_group\": 3.190661478599222}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"89.5\", \"total_measure\": 41.0, \"share_within_group\": 3.190661478599222}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"66.4\", \"total_measure\": 40.0, \"share_within_group\": 3.11284046692607}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"62.0\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"82.6\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"88.3\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"99.4\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"98.3\", \"total_measure\": 38.0, \"share_within_group\": 2.9571984435797667}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"52.7\", \"total_measure\": 35.0, \"share_within_group\": 2.7237354085603114}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"73.2\", \"total_measure\": 35.0, \"share_within_group\": 2.7237354085603114}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"68.7\", \"total_measure\": 34.0, \"share_within_group\": 2.6459143968871595}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"81.6\", \"total_measure\": 33.0, \"share_within_group\": 2.568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"49.0\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"59.6\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"98.2\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"61.3\", \"total_measure\": 30.0, \"share_within_group\": 2.3346303501945527}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"40.0\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"48.2\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"71.2\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"83.7\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"42.1\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"52.4\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"67.3\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"75.3\", \"total_measure\": 128.0, \"share_within_group\": 2.0860495436766624}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"46.1\", \"total_measure\": 26.0, \"share_within_group\": 2.0233463035019454}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"74.7\", \"total_measure\": 26.0, \"share_within_group\": 2.0233463035019454}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"72.7\", \"total_measure\": 24.0, \"share_within_group\": 1.867704280155642}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"40.0\", \"total_measure\": 110.0, \"share_within_group\": 1.7926988265971318}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"81.5\", \"total_measure\": 23.0, \"share_within_group\": 1.7898832684824904}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"42.2\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"45.8\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"58.6\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"72.3\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"77.0\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"84.1\", \"total_measure\": 104.0, \"share_within_group\": 1.694915254237288}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"93.2\", \"total_measure\": 98.0, \"share_within_group\": 1.5971316818774446}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"78.5\", \"total_measure\": 97.0, \"share_within_group\": 1.5808344198174706}, {\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"99.1\", \"total_measure\": 140.0, \"share_within_group\": 1.564071053513574}, {\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"84.9\", \"total_measure\": 133.0, \"share_within_group\": 1.4858675008378952}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"95.6\", \"total_measure\": 88.0, \"share_within_group\": 1.4341590612777053}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"72.2\", \"total_measure\": 82.0, \"share_within_group\": 1.3363754889178618}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c7ade5990b1186ed89bf842ed201c096ea2a1045 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:36:13.854756+00:00", + "ended_at": "2026-05-19T15:36:28.407984+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_68e5472b127cd84d", + "problem_id": "v2p_m1_01377c0d819cfef9", + "dataset_id": "m1", + "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=Manager_Support_Level, measure_col=Age.", + "bindings": { + "group_col": "Manager_Support_Level", + "measure_col": "Age", + "item_col": "Task_Completion_Rate", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 38.0, + "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=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68e5472b127cd84d.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_68e5472b127cd84d", + "api_calls": 0, + "input_tokens": 16804, + "cached_input_tokens": 12288, + "output_tokens": 697, + "total_tokens": 17501, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14538.41, + "sql_execution_elapsed_ms_total": 7.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/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_a/m1/artifacts/v2q_m1_68e5472b127cd84d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b16c31d9f77c23fdd6b3917ecfda261d647bb44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:28.397750+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": 14538.41, "started_at": "2026-05-19T15:36:13.857909+00:00", "ended_at": "2026-05-19T15:36:28.396369+00:00", "prompt_metrics": {"chars": 16753, "bytes_utf8": 16753, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 660, "bytes_utf8": 660, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16804, "cached_input_tokens": 12288, "output_tokens": 697, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Manager_Support_Level\\\", \\\"Task_Completion_Rate\\\",\\n SUM(CAST(\\\"Age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Age\\\" AS REAL))) OVER (PARTITION BY \\\"Manager_Support_Level\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\", \\\"Task_Completion_Rate\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"Manager_Support_Level\\\", item_col=\\\"Task_Completion_Rate\\\", and measure_col=\\\"Age\\\". \\\"Age\\\" is cast to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff4478e7c74d442a3c28ff65051505e1e57e1aa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_68e5472b127cd84d", + "api_calls": 0, + "input_tokens": 16804, + "cached_input_tokens": 12288, + "output_tokens": 697, + "total_tokens": 17501, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14538.41, + "sql_execution_elapsed_ms_total": 7.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_68e5472b127cd84d/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_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..810a3c8e76e70fc4b49dac722c3651ae24ebcdb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:10:15.122621+00:00", + "ended_at": "2026-05-19T16:10:22.786265+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_6a0d40c722a3e6f6", + "problem_id": "v2p_m1_a92eace4f47addc7", + "dataset_id": "m1", + "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=Gender, measure_col=Commute_Time_Minutes.", + "bindings": { + "group_col": "Gender", + "measure_col": "Commute_Time_Minutes", + "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": 38.0, + "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", + "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_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26b9036f59b295c3a49a748d2edf34e4137233f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_6a0d40c722a3e6f6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:18.362760+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": 3237.75, "started_at": "2026-05-19T16:10:15.124185+00:00", "ended_at": "2026-05-19T16:10:18.361964+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-8bca-74d2-babd-c8b9fb687743\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:22.786173+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": 3420.81, "started_at": "2026-05-19T16:10:19.364569+00:00", "ended_at": "2026-05-19T16:10:22.785421+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-9c6c-7d03-9597-770aa889a080\"}\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_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4bcb2172e4b3176a5c7d31bc28efb566c0447e10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/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=Company_Size, measure_col=Efficiency_Rating. +Result preview: [{"Company_Size": "Enterprise (5000+)", "percentile_measure": 95.0}, {"Company_Size": "Large (1001-5000)", "percentile_measure": 95.0}, {"Company_Size": "Medium (201-1000)", "percentile_measure": 95.0}, {"Company_Size": "Small (51-200)", "percentile_measure": 95.0}, {"Company_Size": "Startup (1-50)", "percentile_measure": 95.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..70d61b115be3d2ed56180925fbb40dab7079c549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_72a042837e3c3c9b +-- problem_id: v2p_m1_64ec53af34ff0774 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Company_Size", + CAST("Efficiency_Rating" AS REAL) AS "Efficiency_Rating_num" + FROM "m1" + WHERE "Company_Size" IS NOT NULL + AND "Efficiency_Rating" IS NOT NULL + AND TRIM("Efficiency_Rating") <> '' +), +"ranked" AS ( + SELECT + "Company_Size", + "Efficiency_Rating_num", + ROW_NUMBER() OVER ( + PARTITION BY "Company_Size" + ORDER BY "Efficiency_Rating_num" + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Company_Size") AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT + "Company_Size", + "Efficiency_Rating_num", + "rn", + "cnt", + ((0.95 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1.0) = CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +), +"percentiles" AS ( + SELECT + "Company_Size", + MAX(CASE WHEN "rn" = "lower_rn" THEN "Efficiency_Rating_num" END) AS "lower_val", + MAX(CASE WHEN "rn" = "upper_rn" THEN "Efficiency_Rating_num" END) AS "upper_val", + MAX("pos") AS "pos" + FROM "positions" + GROUP BY "Company_Size" +) +SELECT + "Company_Size", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lower_val" + ELSE "lower_val" + ("pos" - CAST("pos" AS INTEGER)) * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, "Company_Size"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4f6eda14d3c1882259f0fe2ed16823fbafe6476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/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 \"base\" AS (\n SELECT\n \"Company_Size\",\n CAST(\"Efficiency_Rating\" AS REAL) AS \"Efficiency_Rating_num\"\n FROM \"m1\"\n WHERE \"Company_Size\" IS NOT NULL\n AND \"Efficiency_Rating\" IS NOT NULL\n AND TRIM(\"Efficiency_Rating\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"Company_Size\",\n \"Efficiency_Rating_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Company_Size\"\n ORDER BY \"Efficiency_Rating_num\"\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Company_Size\") AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT\n \"Company_Size\",\n \"Efficiency_Rating_num\",\n \"rn\",\n \"cnt\",\n ((0.95 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) = CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"percentiles\" AS (\n SELECT\n \"Company_Size\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"Efficiency_Rating_num\" END) AS \"lower_val\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"Efficiency_Rating_num\" END) AS \"upper_val\",\n MAX(\"pos\") AS \"pos\"\n FROM \"positions\"\n GROUP BY \"Company_Size\"\n)\nSELECT\n \"Company_Size\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC, \"Company_Size\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n CAST(\\\"Efficiency_Rating\\\" AS REAL) AS \\\"Efficiency_Rating_num\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Efficiency_Rating\\\" IS NOT NULL\\n AND TRIM(\\\"Efficiency_Rating\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"Efficiency_Rating_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Company_Size\\\"\\n ORDER BY \\\"Efficiency_Rating_num\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Company_Size\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"Efficiency_Rating_num\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"Efficiency_Rating_num\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"Efficiency_Rating_num\\\" END) AS \\\"upper_val\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"Company_Size\\\"\\n)\\nSELECT\\n \\\"Company_Size\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Company_Size\\\";\", \"columns\": [\"Company_Size\", \"percentile_measure\"], \"rows\": [{\"Company_Size\": \"Enterprise (5000+)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Large (1001-5000)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Medium (201-1000)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Small (51-200)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Startup (1-50)\", \"percentile_measure\": 95.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a4a9f1937e60982c4af06a3cd5818643863af796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:00:04.161709+00:00", + "ended_at": "2026-05-19T16:00:45.652327+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_72a042837e3c3c9b", + "problem_id": "v2p_m1_64ec53af34ff0774", + "dataset_id": "m1", + "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=Company_Size, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Efficiency_Rating", + "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": 95.0, + "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=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72a042837e3c3c9b.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_72a042837e3c3c9b", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 2836, + "total_tokens": 19557, + "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": 41477.18, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/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_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d973cf71d78744937dbdf909d271c482631ce9d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:45.641651+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": 41477.18, "started_at": "2026-05-19T16:00:04.163147+00:00", "ended_at": "2026-05-19T16:00:45.640358+00:00", "prompt_metrics": {"chars": 16523, "bytes_utf8": 16523, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 2070, "bytes_utf8": 2070, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 12032, "output_tokens": 2836, "reasoning_output_tokens": 2179}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n CAST(\\\"Efficiency_Rating\\\" AS REAL) AS \\\"Efficiency_Rating_num\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Efficiency_Rating\\\" IS NOT NULL\\n AND TRIM(\\\"Efficiency_Rating\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"Efficiency_Rating_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Company_Size\\\"\\n ORDER BY \\\"Efficiency_Rating_num\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Company_Size\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"Efficiency_Rating_num\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c9b021dfbf1e0ea5d15cd8c7c18165898fc2431e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_72a042837e3c3c9b", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 2836, + "total_tokens": 19557, + "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": 41477.18, + "sql_execution_elapsed_ms_total": 7.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72a042837e3c3c9b/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_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b0be0d695913856a093c88509ccff145860fa3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/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=Has_Children, measure_col=Work_Hours_Per_Week. +Result preview: [{"Has_Children": "No", "total_measure": 34297.0}, {"Has_Children": "Yes", "total_measure": 28304.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..371d0b165b968212a612de6d57835643afae715b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_72e06c3ae6c87d9c +-- problem_id: v2p_m1_8d53a70abd003231 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Has_Children" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06e60b95ea529756df8aaee423aab9b301442e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/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 \"Has_Children\", SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Has_Children\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Has_Children\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Has_Children\", \"total_measure\"], \"rows\": [{\"Has_Children\": \"No\", \"total_measure\": 34297.0}, {\"Has_Children\": \"Yes\", \"total_measure\": 28304.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..11285295f838084d7464f2aae191bb416f718134 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:29:12.185106+00:00", + "ended_at": "2026-05-19T15:29:27.370360+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_72e06c3ae6c87d9c", + "problem_id": "v2p_m1_8d53a70abd003231", + "dataset_id": "m1", + "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=Has_Children, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Work_Hours_Per_Week", + "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": 46.0, + "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_a/m1/sql/v2q_m1_72e06c3ae6c87d9c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_72e06c3ae6c87d9c", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 316, + "total_tokens": 17007, + "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": 15180.32, + "sql_execution_elapsed_ms_total": 0.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/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_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50363f1f41d90ebf6746f1999bb30bf09ed80810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:27.368218+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": 15180.32, "started_at": "2026-05-19T15:29:12.187111+00:00", "ended_at": "2026-05-19T15:29:27.367467+00:00", "prompt_metrics": {"chars": 16347, "bytes_utf8": 16347, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16691, "cached_input_tokens": 12032, "output_tokens": 316, "reasoning_output_tokens": 200}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Has_Children\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"Has_Children\\\" and measure_col=\\\"Work_Hours_Per_Week\\\". CAST to REAL is added because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ee33e6f17ae8c8516f3bab51aa82c5d998e6400 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_72e06c3ae6c87d9c", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 316, + "total_tokens": 17007, + "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": 15180.32, + "sql_execution_elapsed_ms_total": 0.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_72e06c3ae6c87d9c/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_a/m1/artifacts/v2q_m1_73c62cb142f70357/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_73c62cb142f70357/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff30861f510a0d63bb31bbe079df22dc3897472c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_73c62cb142f70357/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:15.684500+00:00", + "ended_at": "2026-05-19T16:06:22.710027+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_73c62cb142f70357", + "problem_id": "v2p_m1_c24012007db2c859", + "dataset_id": "m1", + "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=Work_Life_Balance.", + "bindings": { + "measure_col": "Work_Life_Balance", + "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": 8.0, + "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", + "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_a/m1/artifacts/v2q_m1_73c62cb142f70357/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_73c62cb142f70357/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5326b6fc3a103d8c876dcad9e21be4624e7a5bbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_73c62cb142f70357/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:18.841178+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": 3153.6, "started_at": "2026-05-19T16:06:15.686783+00:00", "ended_at": "2026-05-19T16:06:18.840411+00:00", "prompt_metrics": {"chars": 16271, "bytes_utf8": 16271, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-e47a-7563-8050-bb61a7b940e5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:22.709927+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": 2866.86, "started_at": "2026-05-19T16:06:19.842310+00:00", "ended_at": "2026-05-19T16:06:22.709198+00:00", "prompt_metrics": {"chars": 16271, "bytes_utf8": 16271, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-f4c5-7032-8f17-00e9c3f51110\"}\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_a/m1/artifacts/v2q_m1_760a40094161b4fe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ba9f24869bd3e7722f2019635ad2ee6c8f0edd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/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=Marital_Status, measure_col=Work_Hours_Per_Week. +Result preview: [{"Marital_Status": "Single", "percentile_measure": 52.0}, {"Marital_Status": "Divorced", "percentile_measure": 51.75}, {"Marital_Status": "Married", "percentile_measure": 51.0}, {"Marital_Status": "In Relationship", "percentile_measure": 50.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..256483f335b6a9fc68f1b6c42f2f42b1edde51c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/generated_sql.sql @@ -0,0 +1,57 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_760a40094161b4fe +-- problem_id: v2p_m1_a9d39415a956fb97 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Marital_Status" AS "group_col", + CAST("Work_Hours_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Marital_Status" + ORDER BY CAST("Work_Hours_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Marital_Status" + ) AS "cnt" + FROM "m1" + WHERE "Marital_Status" IS NOT NULL + AND "Work_Hours_Per_Week" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + ("cnt" - 1) * 0.95) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.95) = CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + THEN CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + ELSE CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +) +SELECT + p."group_col" AS "Marital_Status", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + ELSE + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + + (p."pos" - p."lower_rn") * ( + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_value" END) - + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + ) + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ranked" AS r + ON r."group_col" = p."group_col" +GROUP BY p."group_col", p."cnt", p."pos", p."lower_rn", p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74d23a34adcb6da1687659cc55f3c08903302a3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Marital_Status\" AS \"group_col\",\n CAST(\"Work_Hours_Per_Week\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Marital_Status\"\n ORDER BY CAST(\"Work_Hours_Per_Week\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Marital_Status\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Marital_Status\" IS NOT NULL\n AND \"Work_Hours_Per_Week\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) = CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n THEN CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER)\n ELSE CAST((1.0 + (\"cnt\" - 1) * 0.95) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n)\nSELECT\n p.\"group_col\" AS \"Marital_Status\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END) +\n (p.\"pos\" - p.\"lower_rn\") * (\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) -\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ranked\" AS r\n ON r.\"group_col\" = p.\"group_col\"\nGROUP BY p.\"group_col\", p.\"cnt\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\" AS \\\"group_col\\\",\\n CAST(\\\"Work_Hours_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ORDER BY CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Marital_Status\\\" IS NOT NULL\\n AND \\\"Work_Hours_Per_Week\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"Marital_Status\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END) +\\n (p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ranked\\\" AS r\\n ON r.\\\"group_col\\\" = p.\\\"group_col\\\"\\nGROUP BY p.\\\"group_col\\\", p.\\\"cnt\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Marital_Status\", \"percentile_measure\"], \"rows\": [{\"Marital_Status\": \"Single\", \"percentile_measure\": 52.0}, {\"Marital_Status\": \"Divorced\", \"percentile_measure\": 51.75}, {\"Marital_Status\": \"Married\", \"percentile_measure\": 51.0}, {\"Marital_Status\": \"In Relationship\", \"percentile_measure\": 50.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..154b05f58aac633da9ca094b58151114bc98d207 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:56:04.249380+00:00", + "ended_at": "2026-05-19T15:56:38.456549+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_760a40094161b4fe", + "problem_id": "v2p_m1_a9d39415a956fb97", + "dataset_id": "m1", + "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=Marital_Status, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Marital_Status", + "measure_col": "Work_Hours_Per_Week", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "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=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_760a40094161b4fe.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_760a40094161b4fe", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 1166, + "total_tokens": 17895, + "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": 33186.19, + "sql_execution_elapsed_ms_total": 11.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/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_a/m1/artifacts/v2q_m1_760a40094161b4fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff554721175045c915314b5b92dc9d72abb3c711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:07.583071+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": 3329.97, "started_at": "2026-05-19T15:56:04.252312+00:00", "ended_at": "2026-05-19T15:56:07.582320+00:00", "prompt_metrics": {"chars": 16533, "bytes_utf8": 16533, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-9037-72a0-bd35-d8cc15d70753\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:38.442636+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": 29856.22, "started_at": "2026-05-19T15:56:08.584850+00:00", "ended_at": "2026-05-19T15:56:38.441118+00:00", "prompt_metrics": {"chars": 16533, "bytes_utf8": 16533, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1931, "bytes_utf8": 1931, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16729, "cached_input_tokens": 15744, "output_tokens": 1166, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\" AS \\\"group_col\\\",\\n CAST(\\\"Work_Hours_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ORDER BY CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Marital_Status\\\" IS NOT NULL\\n AND \\\"Work_Hours_Per_Week\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n THEN CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER)\\n ELSE CAST((1.0 + (\\\"cnt\\\" - 1) * 0.95) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n p.\\\"group_col\\\" AS \\\"Mar"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b40e195d4ef73f47200668881e8ed8ed1d8e530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_760a40094161b4fe", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 1166, + "total_tokens": 17895, + "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": 33186.19, + "sql_execution_elapsed_ms_total": 11.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_760a40094161b4fe/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_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..35346446a36da73eabdb1b44692c583f1c1c1c86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/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=Manager_Support_Level, measure_col=Age. +Result preview: [{"Manager_Support_Level": "Very High", "Task_Completion_Rate": "100.0", "total_measure": 2034.0, "share_within_group": 22.723718020332925}, {"Manager_Support_Level": "High", "Task_Completion_Rate": "100.0", "total_measure": 3257.0, "share_within_group": 18.77991120336735}, {"Manager_Support_Level": "Moderate", "Task_Completion_Rate": "100.0", "total_measure": 2610.0, "share_within_group": 13.68570080226522}, {"Manager_Support_Level": "Low", "Task_Completion_Rate": "100.0", "total_measure": 675.0, "share_within_group": 11.000651890482398}, {"Manager_Support_Level": "Very Low", "Task_Completion_Rate": "85.9", "total_measure": 85.0, "share_within_group": 6.614785992217898}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7644e0c3d32f23ff6141696832f97fd77621eb5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_76edc40b3c5fcfd0 +-- problem_id: v2p_m1_ac9f70ef2395fa64 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Manager_Support_Level", + "Task_Completion_Rate", + SUM(CAST("Age" AS REAL)) AS "total_measure", + SUM(CAST("Age" AS REAL)) * 100.0 / SUM(SUM(CAST("Age" AS REAL))) OVER (PARTITION BY "Manager_Support_Level") AS "share_within_group" +FROM "m1" +GROUP BY "Manager_Support_Level", "Task_Completion_Rate" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20446e1335b4c277e5c5738640696edb714034c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/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 \"Manager_Support_Level\",\n \"Task_Completion_Rate\",\n SUM(CAST(\"Age\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Age\" AS REAL))) OVER (PARTITION BY \"Manager_Support_Level\") AS \"share_within_group\"\nFROM \"m1\"\nGROUP BY \"Manager_Support_Level\", \"Task_Completion_Rate\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Manager_Support_Level\\\",\\n \\\"Task_Completion_Rate\\\",\\n SUM(CAST(\\\"Age\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Age\\\" AS REAL))) OVER (PARTITION BY \\\"Manager_Support_Level\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\", \\\"Task_Completion_Rate\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Manager_Support_Level\", \"Task_Completion_Rate\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 2034.0, \"share_within_group\": 22.723718020332925}, {\"Manager_Support_Level\": \"High\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 3257.0, \"share_within_group\": 18.77991120336735}, {\"Manager_Support_Level\": \"Moderate\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 2610.0, \"share_within_group\": 13.68570080226522}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 675.0, \"share_within_group\": 11.000651890482398}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"85.9\", \"total_measure\": 85.0, \"share_within_group\": 6.614785992217898}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"100.0\", \"total_measure\": 69.0, \"share_within_group\": 5.36964980544747}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"66.7\", \"total_measure\": 50.0, \"share_within_group\": 3.8910505836575875}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"55.1\", \"total_measure\": 48.0, \"share_within_group\": 3.735408560311284}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"84.0\", \"total_measure\": 48.0, \"share_within_group\": 3.735408560311284}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"56.6\", \"total_measure\": 41.0, \"share_within_group\": 3.190661478599222}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"89.5\", \"total_measure\": 41.0, \"share_within_group\": 3.190661478599222}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"66.4\", \"total_measure\": 40.0, \"share_within_group\": 3.11284046692607}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"62.0\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"82.6\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"88.3\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"99.4\", \"total_measure\": 39.0, \"share_within_group\": 3.035019455252918}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"98.3\", \"total_measure\": 38.0, \"share_within_group\": 2.9571984435797667}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"52.7\", \"total_measure\": 35.0, \"share_within_group\": 2.7237354085603114}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"73.2\", \"total_measure\": 35.0, \"share_within_group\": 2.7237354085603114}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"68.7\", \"total_measure\": 34.0, \"share_within_group\": 2.6459143968871595}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"81.6\", \"total_measure\": 33.0, \"share_within_group\": 2.568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"49.0\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"59.6\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"98.2\", \"total_measure\": 32.0, \"share_within_group\": 2.490272373540856}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"61.3\", \"total_measure\": 30.0, \"share_within_group\": 2.3346303501945527}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"40.0\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"48.2\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"71.2\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"83.7\", \"total_measure\": 29.0, \"share_within_group\": 2.2568093385214008}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"42.1\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"52.4\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"67.3\", \"total_measure\": 27.0, \"share_within_group\": 2.1011673151750974}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"75.3\", \"total_measure\": 128.0, \"share_within_group\": 2.0860495436766624}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"46.1\", \"total_measure\": 26.0, \"share_within_group\": 2.0233463035019454}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"74.7\", \"total_measure\": 26.0, \"share_within_group\": 2.0233463035019454}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"72.7\", \"total_measure\": 24.0, \"share_within_group\": 1.867704280155642}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"40.0\", \"total_measure\": 110.0, \"share_within_group\": 1.7926988265971318}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"81.5\", \"total_measure\": 23.0, \"share_within_group\": 1.7898832684824904}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"42.2\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"45.8\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"58.6\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"72.3\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Very Low\", \"Task_Completion_Rate\": \"77.0\", \"total_measure\": 22.0, \"share_within_group\": 1.7120622568093384}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"84.1\", \"total_measure\": 104.0, \"share_within_group\": 1.694915254237288}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"93.2\", \"total_measure\": 98.0, \"share_within_group\": 1.5971316818774446}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"78.5\", \"total_measure\": 97.0, \"share_within_group\": 1.5808344198174706}, {\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"99.1\", \"total_measure\": 140.0, \"share_within_group\": 1.564071053513574}, {\"Manager_Support_Level\": \"Very High\", \"Task_Completion_Rate\": \"84.9\", \"total_measure\": 133.0, \"share_within_group\": 1.4858675008378952}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"95.6\", \"total_measure\": 88.0, \"share_within_group\": 1.4341590612777053}, {\"Manager_Support_Level\": \"Low\", \"Task_Completion_Rate\": \"72.2\", \"total_measure\": 82.0, \"share_within_group\": 1.3363754889178618}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5dfeafdbb90bad2f05fb7db230851d789ba4a1e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:35:59.887906+00:00", + "ended_at": "2026-05-19T15:36:13.853490+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_76edc40b3c5fcfd0", + "problem_id": "v2p_m1_ac9f70ef2395fa64", + "dataset_id": "m1", + "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=Manager_Support_Level, measure_col=Age.", + "bindings": { + "group_col": "Manager_Support_Level", + "measure_col": "Age", + "item_col": "Task_Completion_Rate", + "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": 41.0, + "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=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_76edc40b3c5fcfd0.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_76edc40b3c5fcfd0", + "api_calls": 0, + "input_tokens": 16805, + "cached_input_tokens": 12032, + "output_tokens": 708, + "total_tokens": 17513, + "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": 13948.55, + "sql_execution_elapsed_ms_total": 9.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/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_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..abb1a40b8699993e89f34cc80043deee457d064a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_76edc40b3c5fcfd0", + "api_calls": 0, + "input_tokens": 16805, + "cached_input_tokens": 12032, + "output_tokens": 708, + "total_tokens": 17513, + "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": 13948.55, + "sql_execution_elapsed_ms_total": 9.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_76edc40b3c5fcfd0/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_a/m1/artifacts/v2q_m1_7754282e702214f2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d0cd58b8ddd1db0dffd6f30979e0c03df71ef4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Technology", "support": 475, "support_share": 0.31666666666666665, "cumulative_support": 475}, {"value_label": "Finance", "support": 223, "support_share": 0.14866666666666667, "cumulative_support": 698}, {"value_label": "Healthcare", "support": 185, "support_share": 0.12333333333333334, "cumulative_support": 883}, {"value_label": "Education", "support": 144, "support_share": 0.096, "cumulative_support": 1027}, {"value_label": "Retail", "support": 106, "support_share": 0.07066666666666667, "cumulative_support": 1133}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6f8cf3882f82edce6bf06f9e55f98474eb138d08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_7754282e702214f2 +-- problem_id: v2p_m1_2fa9a4963b2ac112 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Industry" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Industry" +), 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_a/m1/artifacts/v2q_m1_7754282e702214f2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29a1eefd151e557d0ddee8af6973491144247c4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m1_7754282e702214f2\n-- problem_id: v2p_m1_2fa9a4963b2ac112\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Industry\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Industry\"\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_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m1_7754282e702214f2\\n-- problem_id: v2p_m1_2fa9a4963b2ac112\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Industry\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Industry\\\"\\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\": \"Technology\", \"support\": 475, \"support_share\": 0.31666666666666665, \"cumulative_support\": 475}, {\"value_label\": \"Finance\", \"support\": 223, \"support_share\": 0.14866666666666667, \"cumulative_support\": 698}, {\"value_label\": \"Healthcare\", \"support\": 185, \"support_share\": 0.12333333333333334, \"cumulative_support\": 883}, {\"value_label\": \"Education\", \"support\": 144, \"support_share\": 0.096, \"cumulative_support\": 1027}, {\"value_label\": \"Retail\", \"support\": 106, \"support_share\": 0.07066666666666667, \"cumulative_support\": 1133}, {\"value_label\": \"Manufacturing\", \"support\": 93, \"support_share\": 0.062, \"cumulative_support\": 1226}, {\"value_label\": \"Consulting\", \"support\": 88, \"support_share\": 0.058666666666666666, \"cumulative_support\": 1314}, {\"value_label\": \"Government\", \"support\": 74, \"support_share\": 0.04933333333333333, \"cumulative_support\": 1388}, {\"value_label\": \"Media\", \"support\": 72, \"support_share\": 0.048, \"cumulative_support\": 1460}, {\"value_label\": \"Non-profit\", \"support\": 40, \"support_share\": 0.02666666666666667, \"cumulative_support\": 1500}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..64a24d79e4bd2bf3ceb5f229e4fc4ffc2a8db4ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.265801+00:00", + "ended_at": "2026-05-19T16:11:34.267622+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7754282e702214f2", + "problem_id": "v2p_m1_2fa9a4963b2ac112", + "dataset_id": "m1", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Industry.", + "bindings": { + "group_col": "Industry" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7754282e702214f2.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_a/m1/artifacts/v2q_m1_7754282e702214f2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7754282e702214f2/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_a/m1/artifacts/v2q_m1_7879ba783503fa04/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fcebc50e5d6eb5f173d916f8a47d3fad1fd6f7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Work_Life_Balance, measure_col=Innovation_Score. +Result preview: [{"Work_Life_Balance": "4", "avg_measure": 74.8810606060606}, {"Work_Life_Balance": "9", "avg_measure": 74.47692307692307}, {"Work_Life_Balance": "10", "avg_measure": 73.6671052631579}, {"Work_Life_Balance": "6", "avg_measure": 72.87623762376238}, {"Work_Life_Balance": "5", "avg_measure": 72.70309278350516}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb4438459d656eed521c7b47ad37cbb923272921 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m1_7879ba783503fa04 +-- problem_id: v2p_m1_b4f90b669ccf69dc +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "Work_Life_Balance", + AVG(CAST("Innovation_Score" AS REAL)) OVER (PARTITION BY "Work_Life_Balance") AS avg_measure +FROM "m1" +WHERE TRIM(COALESCE("Work_Life_Balance", '')) <> '' + AND TRIM(COALESCE("Innovation_Score", '')) <> '' + AND "Work_Life_Balance" IN ( + SELECT "Work_Life_Balance" + FROM "m1" + WHERE TRIM(COALESCE("Work_Life_Balance", '')) <> '' + AND TRIM(COALESCE("Innovation_Score", '')) <> '' + GROUP BY "Work_Life_Balance" + HAVING COUNT(*) >= 5 + ) +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6566eb28f6a35b3c7849d9872ab843e55565c63b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/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 \"Work_Life_Balance\",\n AVG(CAST(\"Innovation_Score\" AS REAL)) OVER (PARTITION BY \"Work_Life_Balance\") AS avg_measure\nFROM \"m1\"\nWHERE TRIM(COALESCE(\"Work_Life_Balance\", '')) <> ''\n AND TRIM(COALESCE(\"Innovation_Score\", '')) <> ''\n AND \"Work_Life_Balance\" IN (\n SELECT \"Work_Life_Balance\"\n FROM \"m1\"\n WHERE TRIM(COALESCE(\"Work_Life_Balance\", '')) <> ''\n AND TRIM(COALESCE(\"Innovation_Score\", '')) <> ''\n GROUP BY \"Work_Life_Balance\"\n HAVING COUNT(*) >= 5\n )\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Work_Life_Balance\\\",\\n AVG(CAST(\\\"Innovation_Score\\\" AS REAL)) OVER (PARTITION BY \\\"Work_Life_Balance\\\") AS avg_measure\\nFROM \\\"m1\\\"\\nWHERE TRIM(COALESCE(\\\"Work_Life_Balance\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"Innovation_Score\\\", '')) <> ''\\n AND \\\"Work_Life_Balance\\\" IN (\\n SELECT \\\"Work_Life_Balance\\\"\\n FROM \\\"m1\\\"\\n WHERE TRIM(COALESCE(\\\"Work_Life_Balance\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"Innovation_Score\\\", '')) <> ''\\n GROUP BY \\\"Work_Life_Balance\\\"\\n HAVING COUNT(*) >= 5\\n )\\nORDER BY avg_measure DESC;\", \"columns\": [\"Work_Life_Balance\", \"avg_measure\"], \"rows\": [{\"Work_Life_Balance\": \"4\", \"avg_measure\": 74.8810606060606}, {\"Work_Life_Balance\": \"9\", \"avg_measure\": 74.47692307692307}, {\"Work_Life_Balance\": \"10\", \"avg_measure\": 73.6671052631579}, {\"Work_Life_Balance\": \"6\", \"avg_measure\": 72.87623762376238}, {\"Work_Life_Balance\": \"5\", \"avg_measure\": 72.70309278350516}, {\"Work_Life_Balance\": \"8\", \"avg_measure\": 72.57880184331798}, {\"Work_Life_Balance\": \"7\", \"avg_measure\": 72.0100358422939}, {\"Work_Life_Balance\": \"3\", \"avg_measure\": 71.61978021978021}, {\"Work_Life_Balance\": \"2\", \"avg_measure\": 71.50869565217391}, {\"Work_Life_Balance\": \"1\", \"avg_measure\": 69.825}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0b6be97430fc32bf2a0219351e545b1c2ff5473b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:09:26.085371+00:00", + "ended_at": "2026-05-19T16:09:45.222719+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7879ba783503fa04", + "problem_id": "v2p_m1_b4f90b669ccf69dc", + "dataset_id": "m1", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Work_Life_Balance, measure_col=Innovation_Score.", + "bindings": { + "group_col": "Work_Life_Balance", + "measure_col": "Innovation_Score", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 80.9, + "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=2", + "sql_variant_index=2/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_a/m1/sql/v2q_m1_7879ba783503fa04.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7879ba783503fa04", + "api_calls": 0, + "input_tokens": 16700, + "cached_input_tokens": 12032, + "output_tokens": 768, + "total_tokens": 17468, + "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": 18125.19, + "sql_execution_elapsed_ms_total": 4.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/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_a/m1/artifacts/v2q_m1_7879ba783503fa04/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35c7440520729a81d3fc2037486872334b012bbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:29.158749+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": 3070.77, "started_at": "2026-05-19T16:09:26.086983+00:00", "ended_at": "2026-05-19T16:09:29.157796+00:00", "prompt_metrics": {"chars": 16438, "bytes_utf8": 16438, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-cc4f-7cb1-ad05-3d24bcf7157d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:45.216645+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": 15054.42, "started_at": "2026-05-19T16:09:30.160778+00:00", "ended_at": "2026-05-19T16:09:45.215250+00:00", "prompt_metrics": {"chars": 16438, "bytes_utf8": 16438, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 844, "bytes_utf8": 844, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16700, "cached_input_tokens": 12032, "output_tokens": 768, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"Work_Life_Balance\\\",\\n AVG(CAST(\\\"Innovation_Score\\\" AS REAL)) OVER (PARTITION BY \\\"Work_Life_Balance\\\") AS avg_measure\\nFROM \\\"m1\\\"\\nWHERE TRIM(COALESCE(\\\"Work_Life_Balance\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"Innovation_Score\\\", '')) <> ''\\n AND \\\"Work_Life_Balance\\\" IN (\\n SELECT \\\"Work_Life_Balance\\\"\\n FROM \\\"m1\\\"\\n WHERE TRIM(COALESCE(\\\"Work_Life_Balance\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"Innovation_Score\\\", '')) <> ''\\n GROUP BY \\\"Work_Life_Balance\\\"\\n HAVING COUNT(*) >= 5\\n )\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the required Window Partition Average template with group_col=\\\"Work_Life_Balance\\\" and measure_col=\\\"Innovation_Score\\\", casting the measure to REAL for SQLite and filtering to stable groups with at least 5 rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..48f355cfa0493553ee783484ca5815a47a7b82ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7879ba783503fa04", + "api_calls": 0, + "input_tokens": 16700, + "cached_input_tokens": 12032, + "output_tokens": 768, + "total_tokens": 17468, + "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": 18125.19, + "sql_execution_elapsed_ms_total": 4.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7879ba783503fa04/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_a/m1/artifacts/v2q_m1_7907774275319f0c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..49887be4e77fb86514f4ff05e8313d9febfc3763 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2024-05-04", "support": 22, "support_share": 0.014666666666666666, "cumulative_support": 22}, {"value_label": "2024-02-15", "support": 21, "support_share": 0.014, "cumulative_support": 43}, {"value_label": "2024-03-25", "support": 20, "support_share": 0.013333333333333334, "cumulative_support": 63}, {"value_label": "2024-02-17", "support": 19, "support_share": 0.012666666666666666, "cumulative_support": 82}, {"value_label": "2024-02-19", "support": 18, "support_share": 0.012, "cumulative_support": 100}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3c2eb484e95b4db6d9b7e762b49a011869c5a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_7907774275319f0c +-- problem_id: v2p_m1_b96e94372f31c33d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Survey_Date" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Survey_Date" +), 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_a/m1/artifacts/v2q_m1_7907774275319f0c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56dee57da715692fce79ebe9733242877b17969b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/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_a\n-- sql_source_dataset_id: m1\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_m1_7907774275319f0c\n-- problem_id: v2p_m1_b96e94372f31c33d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Survey_Date\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Survey_Date\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_7907774275319f0c\\n-- problem_id: v2p_m1_b96e94372f31c33d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Survey_Date\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Survey_Date\\\"\\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\": \"2024-05-04\", \"support\": 22, \"support_share\": 0.014666666666666666, \"cumulative_support\": 22}, {\"value_label\": \"2024-02-15\", \"support\": 21, \"support_share\": 0.014, \"cumulative_support\": 43}, {\"value_label\": \"2024-03-25\", \"support\": 20, \"support_share\": 0.013333333333333334, \"cumulative_support\": 63}, {\"value_label\": \"2024-02-17\", \"support\": 19, \"support_share\": 0.012666666666666666, \"cumulative_support\": 82}, {\"value_label\": \"2024-02-19\", \"support\": 18, \"support_share\": 0.012, \"cumulative_support\": 100}, {\"value_label\": \"2024-02-04\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 117}, {\"value_label\": \"2024-02-12\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 134}, {\"value_label\": \"2024-03-06\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 151}, {\"value_label\": \"2024-03-09\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 168}, {\"value_label\": \"2024-03-17\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 185}, {\"value_label\": \"2024-04-08\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 202}, {\"value_label\": \"2024-04-09\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 219}, {\"value_label\": \"2024-04-13\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 236}, {\"value_label\": \"2024-04-30\", \"support\": 17, \"support_share\": 0.011333333333333334, \"cumulative_support\": 253}, {\"value_label\": \"2024-02-11\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 269}, {\"value_label\": \"2024-03-14\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 285}, {\"value_label\": \"2024-03-24\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 301}, {\"value_label\": \"2024-04-20\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 317}, {\"value_label\": \"2024-04-21\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 333}, {\"value_label\": \"2024-05-06\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 349}, {\"value_label\": \"2024-05-15\", \"support\": 16, \"support_share\": 0.010666666666666666, \"cumulative_support\": 365}, {\"value_label\": \"2024-01-18\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 380}, {\"value_label\": \"2024-01-23\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 395}, {\"value_label\": \"2024-01-28\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 410}, {\"value_label\": \"2024-01-29\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 425}, {\"value_label\": \"2024-02-03\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 440}, {\"value_label\": \"2024-02-14\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 455}, {\"value_label\": \"2024-02-18\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 470}, {\"value_label\": \"2024-03-11\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 485}, {\"value_label\": \"2024-03-13\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 500}, {\"value_label\": \"2024-03-15\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 515}, {\"value_label\": \"2024-03-23\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 530}, {\"value_label\": \"2024-04-27\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 545}, {\"value_label\": \"2024-05-12\", \"support\": 15, \"support_share\": 0.01, \"cumulative_support\": 560}, {\"value_label\": \"2024-01-24\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 574}, {\"value_label\": \"2024-01-25\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 588}, {\"value_label\": \"2024-02-08\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 602}, {\"value_label\": \"2024-03-03\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 616}, {\"value_label\": \"2024-03-07\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 630}, {\"value_label\": \"2024-03-10\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 644}, {\"value_label\": \"2024-03-31\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 658}, {\"value_label\": \"2024-04-01\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 672}, {\"value_label\": \"2024-04-18\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 686}, {\"value_label\": \"2024-05-14\", \"support\": 14, \"support_share\": 0.009333333333333334, \"cumulative_support\": 700}, {\"value_label\": \"2024-01-20\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 713}, {\"value_label\": \"2024-01-21\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 726}, {\"value_label\": \"2024-01-26\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 739}, {\"value_label\": \"2024-01-31\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 752}, {\"value_label\": \"2024-02-13\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 765}, {\"value_label\": \"2024-02-20\", \"support\": 13, \"support_share\": 0.008666666666666666, \"cumulative_support\": 778}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab68a5743ad22e15a502e3ed99d887eacb8ac3f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.276957+00:00", + "ended_at": "2026-05-19T16:11:34.278964+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7907774275319f0c", + "problem_id": "v2p_m1_b96e94372f31c33d", + "dataset_id": "m1", + "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=Survey_Date.", + "bindings": { + "group_col": "Survey_Date" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7907774275319f0c.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_a/m1/artifacts/v2q_m1_7907774275319f0c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7907774275319f0c/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_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b03e1446a2e8db75276e43c920d1c9841f70126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Female", "support": 737, "support_share": 0.49133333333333334, "support_rank": 1}, {"value_label": "Male", "support": 703, "support_share": 0.4686666666666667, "support_rank": 2}, {"value_label": "Non-binary", "support": 60, "support_share": 0.04, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4354869533669e08064de254a9a27812f26558b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_7a6589da210c1bd4 +-- problem_id: v2p_m1_301068b55a94c124 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Gender" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Gender" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dd2987e228aab1eacb6a9eeb23301f852dc4430 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_7a6589da210c1bd4\n-- problem_id: v2p_m1_301068b55a94c124\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Gender\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Gender\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_7a6589da210c1bd4\\n-- problem_id: v2p_m1_301068b55a94c124\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Gender\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Gender\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Female\", \"support\": 737, \"support_share\": 0.49133333333333334, \"support_rank\": 1}, {\"value_label\": \"Male\", \"support\": 703, \"support_share\": 0.4686666666666667, \"support_rank\": 2}, {\"value_label\": \"Non-binary\", \"support\": 60, \"support_share\": 0.04, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bbd2e54a0d14c919fcfafa53bc3db1a057f3f3fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.279426+00:00", + "ended_at": "2026-05-19T16:11:34.280836+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7a6589da210c1bd4", + "problem_id": "v2p_m1_301068b55a94c124", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Gender.", + "bindings": { + "group_col": "Gender" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_7a6589da210c1bd4.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_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7a6589da210c1bd4/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_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7d148fc4cc0fbf2aea9be20ef93d89cf8183e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/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=Home_Office_Quality, condition_col=Has_Children. +Result preview: [{"Home_Office_Quality": "Good", "condition_ratio": 1.2972972972972974}, {"Home_Office_Quality": "Poor", "condition_ratio": 1.26}, {"Home_Office_Quality": "Excellent", "condition_ratio": 1.2077922077922079}, {"Home_Office_Quality": "Average", "condition_ratio": 1.1220657276995305}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3522cb5ff3d8a0c1640dec823e5dfe99fed83bc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_7aff9a4eb56d4661 +-- problem_id: v2p_m1_b470c7b718f37224 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Home_Office_Quality", + SUM(CASE WHEN "Has_Children" = 'No' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Has_Children" = 'Yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Home_Office_Quality" +) +SELECT + "Home_Office_Quality", + 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_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c572f0e6873d6a5b2400c1ee8c2d44fc5873bc54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/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 \"Home_Office_Quality\",\n SUM(CASE WHEN \"Has_Children\" = 'No' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Has_Children\" = 'Yes' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m1\"\n GROUP BY \"Home_Office_Quality\"\n)\nSELECT\n \"Home_Office_Quality\",\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 \\\"Home_Office_Quality\\\",\\n SUM(CASE WHEN \\\"Has_Children\\\" = 'No' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Has_Children\\\" = 'Yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Home_Office_Quality\\\"\\n)\\nSELECT\\n \\\"Home_Office_Quality\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Home_Office_Quality\", \"condition_ratio\"], \"rows\": [{\"Home_Office_Quality\": \"Good\", \"condition_ratio\": 1.2972972972972974}, {\"Home_Office_Quality\": \"Poor\", \"condition_ratio\": 1.26}, {\"Home_Office_Quality\": \"Excellent\", \"condition_ratio\": 1.2077922077922079}, {\"Home_Office_Quality\": \"Average\", \"condition_ratio\": 1.1220657276995305}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52707e9650122efd33cf001828d451ac06ea8346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:42:12.683637+00:00", + "ended_at": "2026-05-19T15:42:23.838250+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7aff9a4eb56d4661", + "problem_id": "v2p_m1_b470c7b718f37224", + "dataset_id": "m1", + "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=Home_Office_Quality, condition_col=Has_Children.", + "bindings": { + "group_col": "Home_Office_Quality", + "condition_col": "Has_Children", + "condition_value": "No", + "positive_value": "No", + "negative_value": "Yes", + "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": 7.0, + "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=8", + "sql_variant_index=1/1", + "binding_index=43" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_a/m1/sql/v2q_m1_7aff9a4eb56d4661.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7aff9a4eb56d4661", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 506, + "total_tokens": 17404, + "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": 11146.89, + "sql_execution_elapsed_ms_total": 1.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/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_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f06d8d74ffbe580423b5878a70ccec64fa09dd0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:23.835038+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": 11146.89, "started_at": "2026-05-19T15:42:12.687212+00:00", "ended_at": "2026-05-19T15:42:23.834145+00:00", "prompt_metrics": {"chars": 17156, "bytes_utf8": 17156, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 729, "bytes_utf8": 729, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16898, "cached_input_tokens": 15744, "output_tokens": 506, "reasoning_output_tokens": 306}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"Home_Office_Quality\\\",\\n SUM(CASE WHEN \\\"Has_Children\\\" = 'No' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Has_Children\\\" = 'Yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Home_Office_Quality\\\"\\n)\\nSELECT\\n \\\"Home_Office_Quality\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"Home_Office_Quality\\\" and condition_col=\\\"Has_Children\\\", computing the ratio of 'No' to 'Yes' within each home office quality group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae2f0c8c7476ddb21d7ca0b838f74deaf809515f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7aff9a4eb56d4661", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 506, + "total_tokens": 17404, + "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": 11146.89, + "sql_execution_elapsed_ms_total": 1.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7aff9a4eb56d4661/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_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..df49026ea5d3ef4181c03f99e15e38ddaa559487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Survey_Date, condition_col=Internet_Speed_Category. +Result preview: [{"Survey_Date": "2024-02-13", "condition_rate": 0.7692307692307693}, {"Survey_Date": "2024-02-07", "condition_rate": 0.7142857142857143}, {"Survey_Date": "2024-02-19", "condition_rate": 0.6666666666666666}, {"Survey_Date": "2024-03-18", "condition_rate": 0.625}, {"Survey_Date": "2024-02-05", "condition_rate": 0.625}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bb536ff4cbe021ed3dd807ead806e3f20714bde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_7b0c01e142f826fb +-- problem_id: v2p_m1_88a38accf2c5cae4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Survey_Date", + AVG(CASE WHEN "Internet_Speed_Category" = 'Fast (50-100 Mbps)' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Survey_Date" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3cdafdf8a95df7ebc2faa82d0f57dabc1f645a20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/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\n \"Survey_Date\",\n AVG(CASE WHEN \"Internet_Speed_Category\" = 'Fast (50-100 Mbps)' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m1\"\nGROUP BY \"Survey_Date\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Survey_Date\\\",\\n AVG(CASE WHEN \\\"Internet_Speed_Category\\\" = 'Fast (50-100 Mbps)' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Survey_Date\", \"condition_rate\"], \"rows\": [{\"Survey_Date\": \"2024-02-13\", \"condition_rate\": 0.7692307692307693}, {\"Survey_Date\": \"2024-02-07\", \"condition_rate\": 0.7142857142857143}, {\"Survey_Date\": \"2024-02-19\", \"condition_rate\": 0.6666666666666666}, {\"Survey_Date\": \"2024-03-18\", \"condition_rate\": 0.625}, {\"Survey_Date\": \"2024-02-05\", \"condition_rate\": 0.625}, {\"Survey_Date\": \"2024-04-26\", \"condition_rate\": 0.6}, {\"Survey_Date\": \"2024-05-10\", \"condition_rate\": 0.5555555555555556}, {\"Survey_Date\": \"2024-02-10\", \"condition_rate\": 0.5555555555555556}, {\"Survey_Date\": \"2024-03-30\", \"condition_rate\": 0.5454545454545454}, {\"Survey_Date\": \"2024-03-11\", \"condition_rate\": 0.5333333333333333}, {\"Survey_Date\": \"2024-05-14\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-05-07\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-05-06\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-03-21\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-03-10\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-03-05\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-01-25\", \"condition_rate\": 0.5}, {\"Survey_Date\": \"2024-04-09\", \"condition_rate\": 0.47058823529411764}, {\"Survey_Date\": \"2024-04-27\", \"condition_rate\": 0.4666666666666667}, {\"Survey_Date\": \"2024-03-13\", \"condition_rate\": 0.4666666666666667}, {\"Survey_Date\": \"2024-02-14\", \"condition_rate\": 0.4666666666666667}, {\"Survey_Date\": \"2024-01-26\", \"condition_rate\": 0.46153846153846156}, {\"Survey_Date\": \"2024-05-01\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-04-29\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-04-23\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-02-28\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-02-16\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-01-27\", \"condition_rate\": 0.4444444444444444}, {\"Survey_Date\": \"2024-05-15\", \"condition_rate\": 0.4375}, {\"Survey_Date\": \"2024-04-20\", \"condition_rate\": 0.4375}, {\"Survey_Date\": \"2024-03-24\", \"condition_rate\": 0.4375}, {\"Survey_Date\": \"2024-02-11\", \"condition_rate\": 0.4375}, {\"Survey_Date\": \"2024-03-31\", \"condition_rate\": 0.42857142857142855}, {\"Survey_Date\": \"2024-02-17\", \"condition_rate\": 0.42105263157894735}, {\"Survey_Date\": \"2024-05-13\", \"condition_rate\": 0.4166666666666667}, {\"Survey_Date\": \"2024-04-04\", \"condition_rate\": 0.4166666666666667}, {\"Survey_Date\": \"2024-02-27\", \"condition_rate\": 0.4166666666666667}, {\"Survey_Date\": \"2024-04-08\", \"condition_rate\": 0.4117647058823529}, {\"Survey_Date\": \"2024-05-02\", \"condition_rate\": 0.4}, {\"Survey_Date\": \"2024-03-23\", \"condition_rate\": 0.4}, {\"Survey_Date\": \"2024-02-21\", \"condition_rate\": 0.4}, {\"Survey_Date\": \"2024-02-18\", \"condition_rate\": 0.4}, {\"Survey_Date\": \"2024-01-16\", \"condition_rate\": 0.4}, {\"Survey_Date\": \"2024-04-05\", \"condition_rate\": 0.38461538461538464}, {\"Survey_Date\": \"2024-02-23\", \"condition_rate\": 0.38461538461538464}, {\"Survey_Date\": \"2024-03-22\", \"condition_rate\": 0.375}, {\"Survey_Date\": \"2024-03-14\", \"condition_rate\": 0.375}, {\"Survey_Date\": \"2024-03-04\", \"condition_rate\": 0.375}, {\"Survey_Date\": \"2024-02-29\", \"condition_rate\": 0.375}, {\"Survey_Date\": \"2024-01-19\", \"condition_rate\": 0.375}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7e830c86f5a7222cba021770e671d99f3ea91059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:04:19.396050+00:00", + "ended_at": "2026-05-19T16:04:30.518429+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7b0c01e142f826fb", + "problem_id": "v2p_m1_88a38accf2c5cae4", + "dataset_id": "m1", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Survey_Date, condition_col=Internet_Speed_Category.", + "bindings": { + "group_col": "Survey_Date", + "condition_col": "Internet_Speed_Category", + "condition_value": "Fast (50-100 Mbps)", + "positive_value": "Very Fast (100+ Mbps)", + "negative_value": "Fast (50-100 Mbps)", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_a/m1/sql/v2q_m1_7b0c01e142f826fb.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7b0c01e142f826fb", + "api_calls": 0, + "input_tokens": 16761, + "cached_input_tokens": 15744, + "output_tokens": 509, + "total_tokens": 17270, + "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": 11116.1, + "sql_execution_elapsed_ms_total": 1.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/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_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62d6849509c51e02354fb8381b7630fe61792161 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:30.515039+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": 11116.1, "started_at": "2026-05-19T16:04:19.398035+00:00", "ended_at": "2026-05-19T16:04:30.514160+00:00", "prompt_metrics": {"chars": 16654, "bytes_utf8": 16654, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 434, "bytes_utf8": 434, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16761, "cached_input_tokens": 15744, "output_tokens": 509, "reasoning_output_tokens": 388}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"Survey_Date\\\",\\n AVG(CASE WHEN \\\"Internet_Speed_Category\\\" = 'Fast (50-100 Mbps)' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the requested Grouped Condition Rate template: groups by Survey_Date and computes the share of rows where Internet_Speed_Category is 'Fast (50-100 Mbps)'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0e1d36a9c00760825b24d2d1e2dd4e49312ea384 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7b0c01e142f826fb", + "api_calls": 0, + "input_tokens": 16761, + "cached_input_tokens": 15744, + "output_tokens": 509, + "total_tokens": 17270, + "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": 11116.1, + "sql_execution_elapsed_ms_total": 1.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7b0c01e142f826fb/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_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..921e1a8882d2a1fb973577858821da23f9686892 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:15.728188+00:00", + "ended_at": "2026-05-19T16:11:24.796875+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7d0126f9d97d03ed", + "problem_id": "v2p_m1_ff893d4a8cb91902", + "dataset_id": "m1", + "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=Location_Type, measure_col=Age.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "Age", + "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": 41.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..099ef00f877f8d22d6cb52eeec927afa0ffb100e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7d0126f9d97d03ed/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:20.676364+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": 4945.9, "started_at": "2026-05-19T16:11:15.729623+00:00", "ended_at": "2026-05-19T16:11:20.675546+00:00", "prompt_metrics": {"chars": 16404, "bytes_utf8": 16404, "lines": 456, "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\":\"019e4101-78ad-7403-88ce-d10e6a9e7e6a\"}\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": "2026-05-19T16:11:24.796781+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": 3117.75, "started_at": "2026-05-19T16:11:21.678179+00:00", "ended_at": "2026-05-19T16:11:24.795969+00:00", "prompt_metrics": {"chars": 16404, "bytes_utf8": 16404, "lines": 456, "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\":\"019e4101-8fc7-7581-9983-7c7e5508184e\"}\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_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ce212a2a3633c16580ae1d97335101093b5ea23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Department, measure_col=Work_Hours_Per_Week. +Result preview: [{"Department": "Engineering", "group_value": 19099.0}, {"Department": "Sales", "group_value": 8296.0}, {"Department": "Marketing", "group_value": 7371.0}, {"Department": "Operations", "group_value": 5612.0}, {"Department": "Customer Success", "group_value": 5070.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..497eec7df25bc4e25eb7654a57c9f44dde45ef9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_7e18b1f6e1301941 +-- problem_id: v2p_m1_f53b07760c8a89b2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Department", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Department" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Department", 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_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e28eb77f9bd01f95d955b1979fefab397d04ca3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/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 \"Department\", SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) AS group_value\n FROM \"m1\"\n GROUP BY \"Department\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Department\", 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 \\\"Department\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Department\\\", 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\": [\"Department\", \"group_value\"], \"rows\": [{\"Department\": \"Engineering\", \"group_value\": 19099.0}, {\"Department\": \"Sales\", \"group_value\": 8296.0}, {\"Department\": \"Marketing\", \"group_value\": 7371.0}, {\"Department\": \"Operations\", \"group_value\": 5612.0}, {\"Department\": \"Customer Success\", \"group_value\": 5070.0}, {\"Department\": \"Finance\", \"group_value\": 4668.0}, {\"Department\": \"HR\", \"group_value\": 4274.0}, {\"Department\": \"Product\", \"group_value\": 3418.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b205909597a8fc937e205865b2ace39b2dc6bf4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:47:37.539345+00:00", + "ended_at": "2026-05-19T15:47:47.432806+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7e18b1f6e1301941", + "problem_id": "v2p_m1_f53b07760c8a89b2", + "dataset_id": "m1", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Department, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Department", + "measure_col": "Work_Hours_Per_Week", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 45.0, + "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=2/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_a/m1/sql/v2q_m1_7e18b1f6e1301941.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7e18b1f6e1301941", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 17225, + "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": 9883.47, + "sql_execution_elapsed_ms_total": 3.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/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_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce766fa1d810484e9df67b696ec1b2c76de2b030 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:47.426714+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": 9883.47, "started_at": "2026-05-19T15:47:37.541391+00:00", "ended_at": "2026-05-19T15:47:47.424910+00:00", "prompt_metrics": {"chars": 16900, "bytes_utf8": 16900, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 639, "bytes_utf8": 639, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16823, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 231}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Department\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Department\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"Department\\\" and measure_col=\\\"Work_Hours_Per_Week\\\". Cast \\\"Work_Hours_Per_Week\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..11592115f6f63ae9b1867894030bbe645fa84435 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_7e18b1f6e1301941", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 17225, + "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": 9883.47, + "sql_execution_elapsed_ms_total": 3.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7e18b1f6e1301941/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_a/m1/artifacts/v2q_m1_7fa97dab5042f806/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7afb04913cd4d66907623af64cd0c1c855347461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Engineering", "support": 455, "support_share": 0.30333333333333334, "cumulative_support": 455}, {"value_label": "Sales", "support": 202, "support_share": 0.13466666666666666, "cumulative_support": 657}, {"value_label": "Marketing", "support": 176, "support_share": 0.11733333333333333, "cumulative_support": 833}, {"value_label": "Operations", "support": 137, "support_share": 0.09133333333333334, "cumulative_support": 970}, {"value_label": "Customer Success", "support": 120, "support_share": 0.08, "cumulative_support": 1090}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2a40e95694dfc917b4688c38221e8d312b6c0834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_7fa97dab5042f806 +-- problem_id: v2p_m1_b0d530d1e12b0ed7 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Department" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Department" +), 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_a/m1/artifacts/v2q_m1_7fa97dab5042f806/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce16c7cfd7bb243e1c0e6036a9c3ec96c60ee614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m1_7fa97dab5042f806\n-- problem_id: v2p_m1_b0d530d1e12b0ed7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Department\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Department\"\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_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m1_7fa97dab5042f806\\n-- problem_id: v2p_m1_b0d530d1e12b0ed7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Department\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\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\": \"Engineering\", \"support\": 455, \"support_share\": 0.30333333333333334, \"cumulative_support\": 455}, {\"value_label\": \"Sales\", \"support\": 202, \"support_share\": 0.13466666666666666, \"cumulative_support\": 657}, {\"value_label\": \"Marketing\", \"support\": 176, \"support_share\": 0.11733333333333333, \"cumulative_support\": 833}, {\"value_label\": \"Operations\", \"support\": 137, \"support_share\": 0.09133333333333334, \"cumulative_support\": 970}, {\"value_label\": \"Customer Success\", \"support\": 120, \"support_share\": 0.08, \"cumulative_support\": 1090}, {\"value_label\": \"Finance\", \"support\": 112, \"support_share\": 0.07466666666666667, \"cumulative_support\": 1202}, {\"value_label\": \"HR\", \"support\": 101, \"support_share\": 0.06733333333333333, \"cumulative_support\": 1303}, {\"value_label\": \"Product\", \"support\": 81, \"support_share\": 0.054, \"cumulative_support\": 1384}, {\"value_label\": \"Design\", \"support\": 60, \"support_share\": 0.04, \"cumulative_support\": 1444}, {\"value_label\": \"Data Science\", \"support\": 56, \"support_share\": 0.037333333333333336, \"cumulative_support\": 1500}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1c0e1f7588a865efa03d6176e6f65baaea286bf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.259685+00:00", + "ended_at": "2026-05-19T16:11:34.262759+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_7fa97dab5042f806", + "problem_id": "v2p_m1_b0d530d1e12b0ed7", + "dataset_id": "m1", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Department.", + "bindings": { + "group_col": "Department" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7fa97dab5042f806.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_a/m1/artifacts/v2q_m1_7fa97dab5042f806/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_7fa97dab5042f806/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_a/m1/artifacts/v2q_m1_803573e81b9fe214/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b127abd0dd04c229405a0232f03ccc2eb1b30f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Moderate", "support": 542, "support_share": 0.36133333333333334, "cumulative_support": 542}, {"value_label": "High", "support": 492, "support_share": 0.328, "cumulative_support": 1034}, {"value_label": "Very High", "support": 253, "support_share": 0.16866666666666666, "cumulative_support": 1287}, {"value_label": "Low", "support": 174, "support_share": 0.116, "cumulative_support": 1461}, {"value_label": "Very Low", "support": 39, "support_share": 0.026, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9886d0c0d9415ceee398e47bb62068fdaf41244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_803573e81b9fe214 +-- problem_id: v2p_m1_68e392e089eba143 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Manager_Support_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Manager_Support_Level" +), 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_a/m1/artifacts/v2q_m1_803573e81b9fe214/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71a20a352dc02b79edfc166db2d85b6b349ddcb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m1_803573e81b9fe214\n-- problem_id: v2p_m1_68e392e089eba143\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Manager_Support_Level\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Manager_Support_Level\"\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_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m1_803573e81b9fe214\\n-- problem_id: v2p_m1_68e392e089eba143\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Manager_Support_Level\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\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\": \"Moderate\", \"support\": 542, \"support_share\": 0.36133333333333334, \"cumulative_support\": 542}, {\"value_label\": \"High\", \"support\": 492, \"support_share\": 0.328, \"cumulative_support\": 1034}, {\"value_label\": \"Very High\", \"support\": 253, \"support_share\": 0.16866666666666666, \"cumulative_support\": 1287}, {\"value_label\": \"Low\", \"support\": 174, \"support_share\": 0.116, \"cumulative_support\": 1461}, {\"value_label\": \"Very Low\", \"support\": 39, \"support_share\": 0.026, \"cumulative_support\": 1500}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..56ee9f835cf2d99571c198661ec5d02a8cab6717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.270140+00:00", + "ended_at": "2026-05-19T16:11:34.271636+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_803573e81b9fe214", + "problem_id": "v2p_m1_68e392e089eba143", + "dataset_id": "m1", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Manager_Support_Level.", + "bindings": { + "group_col": "Manager_Support_Level" + }, + "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=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_a/m1/sql/v2q_m1_803573e81b9fe214.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_a/m1/artifacts/v2q_m1_803573e81b9fe214/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_803573e81b9fe214/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_a/m1/artifacts/v2q_m1_867500e27b23478e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_867500e27b23478e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..87c5817b7f2445ee91dc5e1dbd95b33dd9d045ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_867500e27b23478e/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:05:52.829278+00:00", + "ended_at": "2026-05-19T16:06:00.794276+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_867500e27b23478e", + "problem_id": "v2p_m1_6f49017f3e660203", + "dataset_id": "m1", + "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=Commute_Time_Minutes.", + "bindings": { + "measure_col": "Commute_Time_Minutes", + "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": 38.0, + "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", + "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_a/m1/artifacts/v2q_m1_867500e27b23478e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_867500e27b23478e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..671c492481504714fe38a52741575c217651c17d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_867500e27b23478e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:56.403013+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": 3569.44, "started_at": "2026-05-19T16:05:52.832735+00:00", "ended_at": "2026-05-19T16:05:56.402222+00:00", "prompt_metrics": {"chars": 16279, "bytes_utf8": 16279, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-8b53-78b2-a62b-017bc533c7e3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:00.794175+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": 3389.27, "started_at": "2026-05-19T16:05:57.404027+00:00", "ended_at": "2026-05-19T16:06:00.793332+00:00", "prompt_metrics": {"chars": 16279, "bytes_utf8": 16279, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-9d2f-7f80-a4e3-e1e13abf8542\"}\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_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3142cae89c788ec07f425c9335444e6c2d8a0df0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Work_Life_Balance, condition_col=Home_Office_Quality. +Result preview: [{"Work_Life_Balance": "2", "condition_rate": 0.45652173913043476}, {"Work_Life_Balance": "1", "condition_rate": 0.4375}, {"Work_Life_Balance": "9", "condition_rate": 0.4230769230769231}, {"Work_Life_Balance": "3", "condition_rate": 0.4175824175824176}, {"Work_Life_Balance": "5", "condition_rate": 0.4175257731958763}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce61e411dcd05c4263ed2ae4f3450381ccf0ccb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_87ce556639d1b4eb +-- problem_id: v2p_m1_b3708d8030b49e0d +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", + AVG(CASE WHEN "Home_Office_Quality" = 'Good' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..385450d9985c97f2b053965af5ddf40dd9d49cb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/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_group_condition_rate\nSELECT \"Work_Life_Balance\",\n AVG(CASE WHEN \"Home_Office_Quality\" = 'Good' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m1\"\nGROUP BY \"Work_Life_Balance\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Work_Life_Balance\\\",\\n AVG(CASE WHEN \\\"Home_Office_Quality\\\" = 'Good' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Work_Life_Balance\", \"condition_rate\"], \"rows\": [{\"Work_Life_Balance\": \"2\", \"condition_rate\": 0.45652173913043476}, {\"Work_Life_Balance\": \"1\", \"condition_rate\": 0.4375}, {\"Work_Life_Balance\": \"9\", \"condition_rate\": 0.4230769230769231}, {\"Work_Life_Balance\": \"3\", \"condition_rate\": 0.4175824175824176}, {\"Work_Life_Balance\": \"5\", \"condition_rate\": 0.4175257731958763}, {\"Work_Life_Balance\": \"7\", \"condition_rate\": 0.3978494623655914}, {\"Work_Life_Balance\": \"10\", \"condition_rate\": 0.3815789473684211}, {\"Work_Life_Balance\": \"4\", \"condition_rate\": 0.3787878787878788}, {\"Work_Life_Balance\": \"8\", \"condition_rate\": 0.3778801843317972}, {\"Work_Life_Balance\": \"6\", \"condition_rate\": 0.37623762376237624}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..82c0e4c5a12278e8f43a111c5d3d07c2ab67a847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:41.419968+00:00", + "ended_at": "2026-05-19T16:03:58.917249+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_87ce556639d1b4eb", + "problem_id": "v2p_m1_b3708d8030b49e0d", + "dataset_id": "m1", + "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=Work_Life_Balance, condition_col=Home_Office_Quality.", + "bindings": { + "group_col": "Work_Life_Balance", + "condition_col": "Home_Office_Quality", + "condition_value": "Good", + "positive_value": "Good", + "negative_value": "Average", + "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": 7.0, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_87ce556639d1b4eb.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_87ce556639d1b4eb", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 426, + "total_tokens": 17180, + "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": 16489.51, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/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_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8952ce069a6b63718b4d50007dac9fa06d1c71db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:44.591320+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": 3168.77, "started_at": "2026-05-19T16:03:41.421617+00:00", "ended_at": "2026-05-19T16:03:44.590412+00:00", "prompt_metrics": {"chars": 16605, "bytes_utf8": 16605, "lines": 459, "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\":\"019e40fa-89ef-7d42-a273-dd5a74abe29c\"}\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": "2026-05-19T16:03:58.914657+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": 13320.74, "started_at": "2026-05-19T16:03:45.593034+00:00", "ended_at": "2026-05-19T16:03:58.913809+00:00", "prompt_metrics": {"chars": 16605, "bytes_utf8": 16605, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16754, "cached_input_tokens": 12032, "output_tokens": 426, "reasoning_output_tokens": 288}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Work_Life_Balance\\\",\\n AVG(CASE WHEN \\\"Home_Office_Quality\\\" = 'Good' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"Work_Life_Balance\\\" and condition_col=\\\"Home_Office_Quality\\\", measuring the rate of rows where Home_Office_Quality is 'Good' within each Work_Life_Balance group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca7076dc83ee3c4fe6b286fe2e3f92eb15417374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_87ce556639d1b4eb", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 426, + "total_tokens": 17180, + "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": 16489.51, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_87ce556639d1b4eb/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_a/m1/artifacts/v2q_m1_880f452f0c5961bf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..620b40188de1442da45b2ff04bda6ff15497faeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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=Marital_Status, condition_col=Manager_Support_Level. +Result preview: [{"Marital_Status": "Single", "condition_ratio": 1.2}, {"Marital_Status": "Married", "condition_ratio": 1.1244979919678715}, {"Marital_Status": "Divorced", "condition_ratio": 1.0}, {"Marital_Status": "In Relationship", "condition_ratio": 0.851063829787234}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f6fe4353b94a6c87b598f7f5cafa81ef9bd470a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_880f452f0c5961bf +-- problem_id: v2p_m1_9570a8fc9b53b2f1 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Marital_Status", + SUM(CASE WHEN "Manager_Support_Level" = 'Moderate' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Manager_Support_Level" = 'High' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Marital_Status" +) +SELECT + "Marital_Status", + 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_a/m1/artifacts/v2q_m1_880f452f0c5961bf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d63eb3cfcdda5ef8a27fd85047025cf98e36839a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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 \"Marital_Status\",\n SUM(CASE WHEN \"Manager_Support_Level\" = 'Moderate' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"Manager_Support_Level\" = 'High' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m1\"\n GROUP BY \"Marital_Status\"\n)\nSELECT\n \"Marital_Status\",\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 \\\"Marital_Status\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'Moderate' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'High' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Marital_Status\\\"\\n)\\nSELECT\\n \\\"Marital_Status\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Marital_Status\", \"condition_ratio\"], \"rows\": [{\"Marital_Status\": \"Single\", \"condition_ratio\": 1.2}, {\"Marital_Status\": \"Married\", \"condition_ratio\": 1.1244979919678715}, {\"Marital_Status\": \"Divorced\", \"condition_ratio\": 1.0}, {\"Marital_Status\": \"In Relationship\", \"condition_ratio\": 0.851063829787234}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5e60db4a9c572921d50b014bccab68ac46eb09ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:40:20.385456+00:00", + "ended_at": "2026-05-19T15:40:41.181252+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_880f452f0c5961bf", + "problem_id": "v2p_m1_9570a8fc9b53b2f1", + "dataset_id": "m1", + "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=Marital_Status, condition_col=Manager_Support_Level.", + "bindings": { + "group_col": "Marital_Status", + "condition_col": "Manager_Support_Level", + "condition_value": "Moderate", + "positive_value": "Moderate", + "negative_value": "High", + "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": 95.0, + "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=1", + "sql_variant_index=1/1", + "binding_index=36" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_a/m1/sql/v2q_m1_880f452f0c5961bf.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_880f452f0c5961bf", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 695, + "total_tokens": 17593, + "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": 20787.65, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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_a/m1/artifacts/v2q_m1_880f452f0c5961bf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2fcf88165efeed998000e7f4706be30ed52315a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:41.177052+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": 20787.65, "started_at": "2026-05-19T15:40:20.388274+00:00", "ended_at": "2026-05-19T15:40:41.175969+00:00", "prompt_metrics": {"chars": 17179, "bytes_utf8": 17179, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 846, "bytes_utf8": 846, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16898, "cached_input_tokens": 15744, "output_tokens": 695, "reasoning_output_tokens": 464}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'Moderate' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Manager_Support_Level\\\" = 'High' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Marital_Status\\\"\\n)\\nSELECT\\n \\\"Marital_Status\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Implements the grouped ratio template with group_col=\\\"Marital_Status\\\" and condition_col=\\\"Manager_Support_Level\\\", computing the ratio of 'Moderate' to 'High' support counts for each marital status. NULLIF prevents division by zero when a group has no 'High' rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fb8aab809f772f1b3d4cbbced1b50c04639a4e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_880f452f0c5961bf", + "api_calls": 0, + "input_tokens": 16898, + "cached_input_tokens": 15744, + "output_tokens": 695, + "total_tokens": 17593, + "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": 20787.65, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_880f452f0c5961bf/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_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..66705606bd9c98d35337a8f36d945689feb8fb3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/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=Response_Quality, measure_col=Task_Completion_Rate. +Result preview: [{"Response_Quality": "High", "Job_Satisfaction": "100.0", "total_measure": 65923.0, "share_within_group": 76.18399353759852}, {"Response_Quality": "Low", "Job_Satisfaction": "100.0", "total_measure": 4932.2, "share_within_group": 75.67625623321825}, {"Response_Quality": "Medium", "Job_Satisfaction": "100.0", "total_measure": 22513.1, "share_within_group": 73.3041589742087}, {"Response_Quality": "Low", "Job_Satisfaction": "97.0", "total_measure": 98.3, "share_within_group": 1.508247027234369}, {"Response_Quality": "Low", "Job_Satisfaction": "85.6", "total_measure": 98.2, "share_within_group": 1.5067126965861144}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..37865b8206302b5ee4973fe6e6c4a024ef5b9551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8938c70caedfbf2c +-- problem_id: v2p_m1_69991e79e70a54f8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", "Job_Satisfaction", + SUM(CAST("Task_Completion_Rate" AS REAL)) AS total_measure, + SUM(CAST("Task_Completion_Rate" AS REAL)) * 100.0 / SUM(SUM(CAST("Task_Completion_Rate" AS REAL))) OVER (PARTITION BY "Response_Quality") AS share_within_group +FROM "m1" +GROUP BY "Response_Quality", "Job_Satisfaction" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..245aaf9d8b4c3029ef55b4457345502ee9304b09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/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 \"Response_Quality\", \"Job_Satisfaction\",\n SUM(CAST(\"Task_Completion_Rate\" AS REAL)) AS total_measure,\n SUM(CAST(\"Task_Completion_Rate\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Task_Completion_Rate\" AS REAL))) OVER (PARTITION BY \"Response_Quality\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Response_Quality\", \"Job_Satisfaction\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Response_Quality\\\", \\\"Job_Satisfaction\\\",\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL))) OVER (PARTITION BY \\\"Response_Quality\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\", \\\"Job_Satisfaction\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Response_Quality\", \"Job_Satisfaction\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Response_Quality\": \"High\", \"Job_Satisfaction\": \"100.0\", \"total_measure\": 65923.0, \"share_within_group\": 76.18399353759852}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"100.0\", \"total_measure\": 4932.2, \"share_within_group\": 75.67625623321825}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"100.0\", \"total_measure\": 22513.1, \"share_within_group\": 73.3041589742087}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"97.0\", \"total_measure\": 98.3, \"share_within_group\": 1.508247027234369}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"85.6\", \"total_measure\": 98.2, \"share_within_group\": 1.5067126965861144}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"78.4\", \"total_measure\": 89.1, \"share_within_group\": 1.3670886075949367}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"91.1\", \"total_measure\": 88.3, \"share_within_group\": 1.354813962408899}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"83.5\", \"total_measure\": 85.8, \"share_within_group\": 1.3164556962025316}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"84.6\", \"total_measure\": 81.5, \"share_within_group\": 1.2504794783275797}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"97.7\", \"total_measure\": 79.3, \"share_within_group\": 1.2167242040659763}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"97.3\", \"total_measure\": 77.5, \"share_within_group\": 1.1891062523973916}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"89.8\", \"total_measure\": 77.2, \"share_within_group\": 1.1845032604526275}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"67.4\", \"total_measure\": 75.6, \"share_within_group\": 1.1599539700805521}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"93.0\", \"total_measure\": 74.2, \"share_within_group\": 1.1384733410049865}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"80.7\", \"total_measure\": 71.2, \"share_within_group\": 1.0924434215573455}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"87.2\", \"total_measure\": 70.6, \"share_within_group\": 1.0832374376678173}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"93.8\", \"total_measure\": 70.3, \"share_within_group\": 1.0786344457230532}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"81.6\", \"total_measure\": 68.9, \"share_within_group\": 1.0571538166474876}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"75.2\", \"total_measure\": 65.6, \"share_within_group\": 1.0065209052550823}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"82.6\", \"total_measure\": 65.6, \"share_within_group\": 1.0065209052550823}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"68.1\", \"total_measure\": 56.6, \"share_within_group\": 0.8684311469121596}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"92.9\", \"total_measure\": 264.8, \"share_within_group\": 0.8622065062728129}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"61.4\", \"total_measure\": 53.7, \"share_within_group\": 0.8239355581127733}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"80.2\", \"total_measure\": 52.0, \"share_within_group\": 0.7978519370924434}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"56.2\", \"total_measure\": 45.8, \"share_within_group\": 0.7027234369006521}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"82.0\", \"total_measure\": 215.1, \"share_within_group\": 0.700379983003331}, {\"Response_Quality\": \"Low\", \"Job_Satisfaction\": \"52.6\", \"total_measure\": 40.0, \"share_within_group\": 0.6137322593018796}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"79.0\", \"total_measure\": 175.1, \"share_within_group\": 0.5701373083397641}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"87.0\", \"total_measure\": 170.0, \"share_within_group\": 0.5535313673201593}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"85.9\", \"total_measure\": 165.89999999999998, \"share_within_group\": 0.5401814931671436}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"79.9\", \"total_measure\": 163.3, \"share_within_group\": 0.531715719314012}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"98.3\", \"total_measure\": 157.39999999999998, \"share_within_group\": 0.5125049248011357}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"89.1\", \"total_measure\": 142.0, \"share_within_group\": 0.4623614950556625}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"79.2\", \"total_measure\": 135.7, \"share_within_group\": 0.44184827379615066}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"50.8\", \"total_measure\": 130.7, \"share_within_group\": 0.4255679394632048}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"75.4\", \"total_measure\": 128.7, \"share_within_group\": 0.41905580573002643}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"79.6\", \"total_measure\": 116.4, \"share_within_group\": 0.3790061832709797}, {\"Response_Quality\": \"High\", \"Job_Satisfaction\": \"99.9\", \"total_measure\": 307.5, \"share_within_group\": 0.35536274157443604}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"70.5\", \"total_measure\": 100.8, \"share_within_group\": 0.32821154015218856}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"87.3\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"89.8\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"90.8\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"91.6\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"93.1\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"96.5\", \"total_measure\": 100.0, \"share_within_group\": 0.32560668665891723}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"84.3\", \"total_measure\": 99.8, \"share_within_group\": 0.3249554732855994}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"95.7\", \"total_measure\": 97.1, \"share_within_group\": 0.31616409274580864}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"91.1\", \"total_measure\": 95.7, \"share_within_group\": 0.3116055991325838}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"55.4\", \"total_measure\": 93.8, \"share_within_group\": 0.3054190720860644}, {\"Response_Quality\": \"Medium\", \"Job_Satisfaction\": \"95.5\", \"total_measure\": 93.3, \"share_within_group\": 0.3037910386527698}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5079f27c4d1581a089f7913491a3d360cc11796f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:38:58.102761+00:00", + "ended_at": "2026-05-19T15:39:09.330256+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8938c70caedfbf2c", + "problem_id": "v2p_m1_69991e79e70a54f8", + "dataset_id": "m1", + "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=Response_Quality, measure_col=Task_Completion_Rate.", + "bindings": { + "group_col": "Response_Quality", + "measure_col": "Task_Completion_Rate", + "item_col": "Job_Satisfaction", + "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": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8938c70caedfbf2c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8938c70caedfbf2c", + "api_calls": 0, + "input_tokens": 16808, + "cached_input_tokens": 12032, + "output_tokens": 513, + "total_tokens": 17321, + "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": 11221.26, + "sql_execution_elapsed_ms_total": 2.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/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_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad5ae696fed81e30dbae83675080693db5230c2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:09.326464+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": 11221.26, "started_at": "2026-05-19T15:38:58.104397+00:00", "ended_at": "2026-05-19T15:39:09.325686+00:00", "prompt_metrics": {"chars": 16771, "bytes_utf8": 16771, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 722, "bytes_utf8": 722, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16808, "cached_input_tokens": 12032, "output_tokens": 513, "reasoning_output_tokens": 325}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Response_Quality\\\", \\\"Job_Satisfaction\\\",\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL))) OVER (PARTITION BY \\\"Response_Quality\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\", \\\"Job_Satisfaction\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Response_Quality\\\", item_col=\\\"Job_Satisfaction\\\", and measure_col=\\\"Task_Completion_Rate\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..33b243d4af353454f587b1fd1857a2f921db417b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8938c70caedfbf2c", + "api_calls": 0, + "input_tokens": 16808, + "cached_input_tokens": 12032, + "output_tokens": 513, + "total_tokens": 17321, + "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": 11221.26, + "sql_execution_elapsed_ms_total": 2.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8938c70caedfbf2c/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_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ba6aa3bb9a66e836e84bb028b8d593b4b207a6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "6", "support": 303, "support_share": 0.202, "support_rank": 1}, {"value_label": "7", "support": 279, "support_share": 0.186, "support_rank": 2}, {"value_label": "8", "support": 217, "support_share": 0.14466666666666667, "support_rank": 3}, {"value_label": "5", "support": 194, "support_share": 0.12933333333333333, "support_rank": 4}, {"value_label": "4", "support": 132, "support_share": 0.088, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..019521021e939e789d790d303b3d300228d25b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_8b2d506fb28f1989 +-- problem_id: v2p_m1_de731b72b4c9e145 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Work_Life_Balance" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Work_Life_Balance" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af54015cf09953ea439d51fbfe69c1ff1f47efda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_8b2d506fb28f1989\n-- problem_id: v2p_m1_de731b72b4c9e145\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Work_Life_Balance\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Work_Life_Balance\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_8b2d506fb28f1989\\n-- problem_id: v2p_m1_de731b72b4c9e145\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Work_Life_Balance\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Work_Life_Balance\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"6\", \"support\": 303, \"support_share\": 0.202, \"support_rank\": 1}, {\"value_label\": \"7\", \"support\": 279, \"support_share\": 0.186, \"support_rank\": 2}, {\"value_label\": \"8\", \"support\": 217, \"support_share\": 0.14466666666666667, \"support_rank\": 3}, {\"value_label\": \"5\", \"support\": 194, \"support_share\": 0.12933333333333333, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 132, \"support_share\": 0.088, \"support_rank\": 5}, {\"value_label\": \"9\", \"support\": 130, \"support_share\": 0.08666666666666667, \"support_rank\": 6}, {\"value_label\": \"3\", \"support\": 91, \"support_share\": 0.06066666666666667, \"support_rank\": 7}, {\"value_label\": \"10\", \"support\": 76, \"support_share\": 0.050666666666666665, \"support_rank\": 8}, {\"value_label\": \"2\", \"support\": 46, \"support_share\": 0.030666666666666665, \"support_rank\": 9}, {\"value_label\": \"1\", \"support\": 32, \"support_share\": 0.021333333333333333, \"support_rank\": 10}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..88c3914d70df5ab8837324ff797637dc4dcf0ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.298727+00:00", + "ended_at": "2026-05-19T16:11:34.300410+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8b2d506fb28f1989", + "problem_id": "v2p_m1_de731b72b4c9e145", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Work_Life_Balance.", + "bindings": { + "group_col": "Work_Life_Balance" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_8b2d506fb28f1989.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_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b2d506fb28f1989/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_a/m1/artifacts/v2q_m1_8b5292ded8624754/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3b72f91dddc008a4fa5fa51fed16bf8e88e1fb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/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=Marital_Status, measure_col=Work_Hours_Per_Week. +Result preview: [{"Marital_Status": "Single", "percentile_measure": 50.0}, {"Marital_Status": "In Relationship", "percentile_measure": 50.0}, {"Marital_Status": "Divorced", "percentile_measure": 50.0}, {"Marital_Status": "Married", "percentile_measure": 49.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..330725a49a8e7cc80eb7bc977b554b3d9ae6edfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8b5292ded8624754 +-- problem_id: v2p_m1_b3d765bc44ec9d73 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Marital_Status", + CAST("Work_Hours_Per_Week" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "Marital_Status" + ORDER BY CAST("Work_Hours_Per_Week" AS REAL) + ) AS "cum_dist", + COUNT(*) OVER (PARTITION BY "Marital_Status") AS "group_size" + FROM "m1" + WHERE "Marital_Status" IS NOT NULL + AND "Work_Hours_Per_Week" IS NOT NULL +) +SELECT + "Marital_Status", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.9 + AND "group_size" >= 5 +GROUP BY "Marital_Status" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c489cf008ff9ee721743c076665b8949d6cf538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"Marital_Status\",\n CAST(\"Work_Hours_Per_Week\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"Marital_Status\"\n ORDER BY CAST(\"Work_Hours_Per_Week\" AS REAL)\n ) AS \"cum_dist\",\n COUNT(*) OVER (PARTITION BY \"Marital_Status\") AS \"group_size\"\n FROM \"m1\"\n WHERE \"Marital_Status\" IS NOT NULL\n AND \"Work_Hours_Per_Week\" IS NOT NULL\n)\nSELECT\n \"Marital_Status\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\n AND \"group_size\" >= 5\nGROUP BY \"Marital_Status\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\",\\n CAST(\\\"Work_Hours_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ORDER BY CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)\\n ) AS \\\"cum_dist\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Marital_Status\\\") AS \\\"group_size\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Marital_Status\\\" IS NOT NULL\\n AND \\\"Work_Hours_Per_Week\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Marital_Status\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Marital_Status\", \"percentile_measure\"], \"rows\": [{\"Marital_Status\": \"Single\", \"percentile_measure\": 50.0}, {\"Marital_Status\": \"In Relationship\", \"percentile_measure\": 50.0}, {\"Marital_Status\": \"Divorced\", \"percentile_measure\": 50.0}, {\"Marital_Status\": \"Married\", \"percentile_measure\": 49.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..807b1ef6abee90c60e6c4c569a67829ee4965ac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:55:27.829059+00:00", + "ended_at": "2026-05-19T15:56:04.248745+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8b5292ded8624754", + "problem_id": "v2p_m1_b3d765bc44ec9d73", + "dataset_id": "m1", + "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=Marital_Status, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Marital_Status", + "measure_col": "Work_Hours_Per_Week", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 46.0, + "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=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_a/m1/sql/v2q_m1_8b5292ded8624754.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8b5292ded8624754", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 2227, + "total_tokens": 18956, + "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": 35407.12, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/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_a/m1/artifacts/v2q_m1_8b5292ded8624754/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35ef23828da64d84c09d754fbbfe8a22da6e6ae3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:30.708751+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": 2876.96, "started_at": "2026-05-19T15:55:27.831084+00:00", "ended_at": "2026-05-19T15:55:30.708064+00:00", "prompt_metrics": {"chars": 16529, "bytes_utf8": 16529, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-01df-7431-bd12-cda30688cec7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:04.241676+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": 32530.16, "started_at": "2026-05-19T15:55:31.709743+00:00", "ended_at": "2026-05-19T15:56:04.239941+00:00", "prompt_metrics": {"chars": 16529, "bytes_utf8": 16529, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1014, "bytes_utf8": 1014, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16729, "cached_input_tokens": 15744, "output_tokens": 2227, "reasoning_output_tokens": 1933}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Marital_Status\\\",\\n CAST(\\\"Work_Hours_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Marital_Status\\\"\\n ORDER BY CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)\\n ) AS \\\"cum_dist\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Marital_Status\\\") AS \\\"group_size\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Marital_Status\\\" IS NOT NULL\\n AND \\\"Work_Hours_Per_Week\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"Marital_Status\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to return the nearest-rank 90th percentile of \\\"Work_Hours_Per_Week\\\" by \\\"Marital_Status\\\". \\\"Work_Hours_Per_Week\\\" is cast from TEXT to REAL, and groups smaller than 5 rows are excluded using the provided minimum"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..026dfa720c10b395d76caac32270ed00143eaf1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8b5292ded8624754", + "api_calls": 0, + "input_tokens": 16729, + "cached_input_tokens": 15744, + "output_tokens": 2227, + "total_tokens": 18956, + "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": 35407.12, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b5292ded8624754/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_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6714871461872e2cb7e7b171619fcba29fc7529b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/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=Survey_Date. +Result preview: [{"Survey_Date": "2024-05-04", "row_count": 22}, {"Survey_Date": "2024-02-15", "row_count": 21}, {"Survey_Date": "2024-03-25", "row_count": 20}, {"Survey_Date": "2024-02-17", "row_count": 19}, {"Survey_Date": "2024-02-19", "row_count": 18}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6b728d8f4b81717b38f8e6be4daf1c3952912613 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8b72a0ea47b83634 +-- problem_id: v2p_m1_05fa34333d005f3b +-- realization_mode: agent +-- source_kind: agent +SELECT "Survey_Date", COUNT(*) AS row_count +FROM "m1" +GROUP BY "Survey_Date" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..988d95fde26112b6fd8ae8b88384f2433f082c26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/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 \"Survey_Date\", COUNT(*) AS row_count\nFROM \"m1\"\nGROUP BY \"Survey_Date\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Survey_Date\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Survey_Date\", \"row_count\"], \"rows\": [{\"Survey_Date\": \"2024-05-04\", \"row_count\": 22}, {\"Survey_Date\": \"2024-02-15\", \"row_count\": 21}, {\"Survey_Date\": \"2024-03-25\", \"row_count\": 20}, {\"Survey_Date\": \"2024-02-17\", \"row_count\": 19}, {\"Survey_Date\": \"2024-02-19\", \"row_count\": 18}, {\"Survey_Date\": \"2024-04-30\", \"row_count\": 17}, {\"Survey_Date\": \"2024-04-13\", \"row_count\": 17}, {\"Survey_Date\": \"2024-04-09\", \"row_count\": 17}, {\"Survey_Date\": \"2024-04-08\", \"row_count\": 17}, {\"Survey_Date\": \"2024-03-17\", \"row_count\": 17}, {\"Survey_Date\": \"2024-03-09\", \"row_count\": 17}, {\"Survey_Date\": \"2024-03-06\", \"row_count\": 17}, {\"Survey_Date\": \"2024-02-12\", \"row_count\": 17}, {\"Survey_Date\": \"2024-02-04\", \"row_count\": 17}, {\"Survey_Date\": \"2024-05-15\", \"row_count\": 16}, {\"Survey_Date\": \"2024-05-06\", \"row_count\": 16}, {\"Survey_Date\": \"2024-04-21\", \"row_count\": 16}, {\"Survey_Date\": \"2024-04-20\", \"row_count\": 16}, {\"Survey_Date\": \"2024-03-24\", \"row_count\": 16}, {\"Survey_Date\": \"2024-03-14\", \"row_count\": 16}, {\"Survey_Date\": \"2024-02-11\", \"row_count\": 16}, {\"Survey_Date\": \"2024-05-12\", \"row_count\": 15}, {\"Survey_Date\": \"2024-04-27\", \"row_count\": 15}, {\"Survey_Date\": \"2024-03-23\", \"row_count\": 15}, {\"Survey_Date\": \"2024-03-15\", \"row_count\": 15}, {\"Survey_Date\": \"2024-03-13\", \"row_count\": 15}, {\"Survey_Date\": \"2024-03-11\", \"row_count\": 15}, {\"Survey_Date\": \"2024-02-18\", \"row_count\": 15}, {\"Survey_Date\": \"2024-02-14\", \"row_count\": 15}, {\"Survey_Date\": \"2024-02-03\", \"row_count\": 15}, {\"Survey_Date\": \"2024-01-29\", \"row_count\": 15}, {\"Survey_Date\": \"2024-01-28\", \"row_count\": 15}, {\"Survey_Date\": \"2024-01-23\", \"row_count\": 15}, {\"Survey_Date\": \"2024-01-18\", \"row_count\": 15}, {\"Survey_Date\": \"2024-05-14\", \"row_count\": 14}, {\"Survey_Date\": \"2024-04-18\", \"row_count\": 14}, {\"Survey_Date\": \"2024-04-01\", \"row_count\": 14}, {\"Survey_Date\": \"2024-03-31\", \"row_count\": 14}, {\"Survey_Date\": \"2024-03-10\", \"row_count\": 14}, {\"Survey_Date\": \"2024-03-07\", \"row_count\": 14}, {\"Survey_Date\": \"2024-03-03\", \"row_count\": 14}, {\"Survey_Date\": \"2024-02-08\", \"row_count\": 14}, {\"Survey_Date\": \"2024-01-25\", \"row_count\": 14}, {\"Survey_Date\": \"2024-01-24\", \"row_count\": 14}, {\"Survey_Date\": \"2024-04-22\", \"row_count\": 13}, {\"Survey_Date\": \"2024-04-19\", \"row_count\": 13}, {\"Survey_Date\": \"2024-04-05\", \"row_count\": 13}, {\"Survey_Date\": \"2024-03-29\", \"row_count\": 13}, {\"Survey_Date\": \"2024-03-27\", \"row_count\": 13}, {\"Survey_Date\": \"2024-02-23\", \"row_count\": 13}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1246b886d27dd2a7f717d58ffe8e1f81fd4ff072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:32:51.764803+00:00", + "ended_at": "2026-05-19T15:33:00.878619+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8b72a0ea47b83634", + "problem_id": "v2p_m1_05fa34333d005f3b", + "dataset_id": "m1", + "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=Survey_Date.", + "bindings": { + "group_col": "Survey_Date", + "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": 7.0, + "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=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_a/m1/sql/v2q_m1_8b72a0ea47b83634.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8b72a0ea47b83634", + "api_calls": 0, + "input_tokens": 16654, + "cached_input_tokens": 12032, + "output_tokens": 241, + "total_tokens": 16895, + "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": 9107.72, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/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_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef7f7d28f2d8b3836f862da764ab3ca97578b8fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:00.874839+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": 9107.72, "started_at": "2026-05-19T15:32:51.766123+00:00", "ended_at": "2026-05-19T15:33:00.873869+00:00", "prompt_metrics": {"chars": 16232, "bytes_utf8": 16232, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16654, "cached_input_tokens": 12032, "output_tokens": 241, "reasoning_output_tokens": 165}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Survey_Date\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Survey_Date\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"Survey_Date\\\" to inspect count distribution across survey dates.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c810156bef41d441dcd535a723a8d28e2bab046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8b72a0ea47b83634", + "api_calls": 0, + "input_tokens": 16654, + "cached_input_tokens": 12032, + "output_tokens": 241, + "total_tokens": 16895, + "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": 9107.72, + "sql_execution_elapsed_ms_total": 1.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8b72a0ea47b83634/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_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4c6d7cd7c279ef3f472f501663e33687b795be0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Suburban", "support": 672, "support_share": 0.448, "cumulative_support": 672}, {"value_label": "Urban", "support": 664, "support_share": 0.44266666666666665, "cumulative_support": 1336}, {"value_label": "Rural", "support": 164, "support_share": 0.10933333333333334, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d057d60141ef4dec62b5e6699f0df9820607fb91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8c03c83d21249bbe +-- problem_id: v2p_m1_13794a03b43b4ea6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Location_Type" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Location_Type" +), 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_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbe07d627f414af462b568616456da31e4fcee3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/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_a\n-- sql_source_dataset_id: m1\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_m1_8c03c83d21249bbe\n-- problem_id: v2p_m1_13794a03b43b4ea6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Location_Type\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Location_Type\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_8c03c83d21249bbe\\n-- problem_id: v2p_m1_13794a03b43b4ea6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Location_Type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\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\": \"Suburban\", \"support\": 672, \"support_share\": 0.448, \"cumulative_support\": 672}, {\"value_label\": \"Urban\", \"support\": 664, \"support_share\": 0.44266666666666665, \"cumulative_support\": 1336}, {\"value_label\": \"Rural\", \"support\": 164, \"support_share\": 0.10933333333333334, \"cumulative_support\": 1500}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6da37c3357c4624198f34375ff73031807df4385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.257391+00:00", + "ended_at": "2026-05-19T16:11:34.259103+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8c03c83d21249bbe", + "problem_id": "v2p_m1_13794a03b43b4ea6", + "dataset_id": "m1", + "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=Location_Type.", + "bindings": { + "group_col": "Location_Type" + }, + "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_a/m1/sql/v2q_m1_8c03c83d21249bbe.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_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c03c83d21249bbe/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_a/m1/artifacts/v2q_m1_8c8663f240755a7f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b08f2f9a99b1c0ebaa3f779890c5c59b5ccd2df2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/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=Has_Children, group_col_2=Home_Office_Quality. +Result preview: [{"Has_Children": "No", "Home_Office_Quality": "Good", "row_count": 222}, {"Has_Children": "Yes", "Home_Office_Quality": "Good", "row_count": 174}, {"Has_Children": "No", "Home_Office_Quality": "Average", "row_count": 161}, {"Has_Children": "No", "Home_Office_Quality": "Excellent", "row_count": 137}, {"Has_Children": "Yes", "Home_Office_Quality": "Average", "row_count": 134}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a92d241e0b1b55b8f3a3455fb2aeee0c52bafa63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8c8663f240755a7f +-- problem_id: v2p_m1_b0de080c6c03d6af +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Home_Office_Quality", COUNT(*) AS "row_count" +FROM "m1" +WHERE CAST("Efficiency_Rating" AS REAL) >= 95.0 +GROUP BY "Has_Children", "Home_Office_Quality" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d62d4800a7d7afaef3a514f7e0f60e7e85eed901 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/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 \"Has_Children\", \"Home_Office_Quality\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nWHERE CAST(\"Efficiency_Rating\" AS REAL) >= 95.0\nGROUP BY \"Has_Children\", \"Home_Office_Quality\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Home_Office_Quality\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Efficiency_Rating\\\" AS REAL) >= 95.0\\nGROUP BY \\\"Has_Children\\\", \\\"Home_Office_Quality\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Has_Children\", \"Home_Office_Quality\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Home_Office_Quality\": \"Good\", \"row_count\": 222}, {\"Has_Children\": \"Yes\", \"Home_Office_Quality\": \"Good\", \"row_count\": 174}, {\"Has_Children\": \"No\", \"Home_Office_Quality\": \"Average\", \"row_count\": 161}, {\"Has_Children\": \"No\", \"Home_Office_Quality\": \"Excellent\", \"row_count\": 137}, {\"Has_Children\": \"Yes\", \"Home_Office_Quality\": \"Average\", \"row_count\": 134}, {\"Has_Children\": \"Yes\", \"Home_Office_Quality\": \"Excellent\", \"row_count\": 117}, {\"Has_Children\": \"No\", \"Home_Office_Quality\": \"Poor\", \"row_count\": 34}, {\"Has_Children\": \"Yes\", \"Home_Office_Quality\": \"Poor\", \"row_count\": 27}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..39631a561a0ce3965496b32af6c36a58027985ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:42:58.698716+00:00", + "ended_at": "2026-05-19T15:43:08.422910+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8c8663f240755a7f", + "problem_id": "v2p_m1_b0de080c6c03d6af", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Home_Office_Quality.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Home_Office_Quality", + "predicate_col": "Efficiency_Rating", + "predicate_op": ">=", + "predicate_value": 95.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 95.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c8663f240755a7f.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8c8663f240755a7f", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 15744, + "output_tokens": 383, + "total_tokens": 17168, + "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": 9716.86, + "sql_execution_elapsed_ms_total": 2.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/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_a/m1/artifacts/v2q_m1_8c8663f240755a7f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f88718611635927f223ecf4931023ef7401be4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:08.418703+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": 9716.86, "started_at": "2026-05-19T15:42:58.700306+00:00", "ended_at": "2026-05-19T15:43:08.417197+00:00", "prompt_metrics": {"chars": 16668, "bytes_utf8": 16668, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 500, "bytes_utf8": 500, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16785, "cached_input_tokens": 15744, "output_tokens": 383, "reasoning_output_tokens": 249}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Home_Office_Quality\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Efficiency_Rating\\\" AS REAL) >= 95.0\\nGROUP BY \\\"Has_Children\\\", \\\"Home_Office_Quality\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the required filtered two-dimensional group count template with bound roles Has_Children, Home_Office_Quality, and Efficiency_Rating. Cast Efficiency_Rating to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..83e0d5437f2a5bdd7336c7f0a10baf2593528d30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8c8663f240755a7f", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 15744, + "output_tokens": 383, + "total_tokens": 17168, + "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": 9716.86, + "sql_execution_elapsed_ms_total": 2.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8c8663f240755a7f/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_a/m1/artifacts/v2q_m1_8f7e110b469cd788/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b722173baf5b3c5ed65ea406ba228e8de8dc8825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/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=Company_Size, measure_col=Efficiency_Rating. +Result preview: [{"Company_Size": "Enterprise (5000+)", "percentile_measure": 95.0}, {"Company_Size": "Large (1001-5000)", "percentile_measure": 95.0}, {"Company_Size": "Medium (201-1000)", "percentile_measure": 95.0}, {"Company_Size": "Small (51-200)", "percentile_measure": 95.0}, {"Company_Size": "Startup (1-50)", "percentile_measure": 95.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..74d6f9a4cfd4dd18f6c99e0519b4705b60ac5aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/generated_sql.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8f7e110b469cd788 +-- problem_id: v2p_m1_99730250ef39ace4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Company_Size", + CAST("Efficiency_Rating" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "Company_Size" + ORDER BY CAST("Efficiency_Rating" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Company_Size") AS "cnt" + FROM "m1" + WHERE "Company_Size" IS NOT NULL + AND "Efficiency_Rating" IS NOT NULL +), +"picked" AS ( + SELECT + "Company_Size", + "measure", + "rn", + CAST((0.9 * "cnt") + 0.9999999999 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "Company_Size", + "measure" AS "percentile_measure" +FROM "picked" +WHERE "rn" = "target_rn" +ORDER BY "percentile_measure" DESC, "Company_Size" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73d1b3a0400322c9e3f8575c742e589ea873ece8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/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 \"Company_Size\",\n CAST(\"Efficiency_Rating\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Company_Size\"\n ORDER BY CAST(\"Efficiency_Rating\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"Company_Size\") AS \"cnt\"\n FROM \"m1\"\n WHERE \"Company_Size\" IS NOT NULL\n AND \"Efficiency_Rating\" IS NOT NULL\n),\n\"picked\" AS (\n SELECT\n \"Company_Size\",\n \"measure\",\n \"rn\",\n CAST((0.9 * \"cnt\") + 0.9999999999 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"Company_Size\",\n \"measure\" AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC, \"Company_Size\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n CAST(\\\"Efficiency_Rating\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Company_Size\\\"\\n ORDER BY CAST(\\\"Efficiency_Rating\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Company_Size\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Efficiency_Rating\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n CAST((0.9 * \\\"cnt\\\") + 0.9999999999 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"measure\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Company_Size\\\" ASC;\", \"columns\": [\"Company_Size\", \"percentile_measure\"], \"rows\": [{\"Company_Size\": \"Enterprise (5000+)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Large (1001-5000)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Medium (201-1000)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Small (51-200)\", \"percentile_measure\": 95.0}, {\"Company_Size\": \"Startup (1-50)\", \"percentile_measure\": 95.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26476a84388bd1a17870fe20d45d2554988aaa46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:00:45.653321+00:00", + "ended_at": "2026-05-19T16:01:03.285249+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_8f7e110b469cd788", + "problem_id": "v2p_m1_99730250ef39ace4", + "dataset_id": "m1", + "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=Company_Size, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Efficiency_Rating", + "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": 95.0, + "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=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8f7e110b469cd788.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8f7e110b469cd788", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 806, + "total_tokens": 17527, + "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": 17620.01, + "sql_execution_elapsed_ms_total": 5.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/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_a/m1/artifacts/v2q_m1_8f7e110b469cd788/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b541b51f90c69dc9465814bc797857682fd3f4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:03.276454+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": 17620.01, "started_at": "2026-05-19T16:00:45.655307+00:00", "ended_at": "2026-05-19T16:01:03.275350+00:00", "prompt_metrics": {"chars": 16523, "bytes_utf8": 16523, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 994, "bytes_utf8": 994, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 12032, "output_tokens": 806, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n CAST(\\\"Efficiency_Rating\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Company_Size\\\"\\n ORDER BY CAST(\\\"Efficiency_Rating\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Company_Size\\\") AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Efficiency_Rating\\\" IS NOT NULL\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"Company_Size\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n CAST((0.9 * \\\"cnt\\\") + 0.9999999999 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"measure\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"Company_Size\\\" ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per Company_Size via window functions, casting \\\"Efficiency_Rating\\\" from TEXT to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a39ac0c7258a23d17a66f3e3146f466a03bc4d88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_8f7e110b469cd788", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 806, + "total_tokens": 17527, + "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": 17620.01, + "sql_execution_elapsed_ms_total": 5.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_8f7e110b469cd788/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_a/m1/artifacts/v2q_m1_964a68cdf278d439/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8dd28ccf71cabbbb0188cba848875288f774528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/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=Company_Size, measure_col=Commute_Time_Minutes. +Result preview: [{"Company_Size": "Small (51-200)", "Age": "22", "total_measure": 949.0, "share_within_group": 11.096819457436856}, {"Company_Size": "Enterprise (5000+)", "Age": "22", "total_measure": 460.0, "share_within_group": 10.74766355140187}, {"Company_Size": "Medium (201-1000)", "Age": "22", "total_measure": 1041.0, "share_within_group": 10.621365166819713}, {"Company_Size": "Large (1001-5000)", "Age": "22", "total_measure": 740.0, "share_within_group": 7.518796992481203}, {"Company_Size": "Startup (1-50)", "Age": "22", "total_measure": 428.0, "share_within_group": 7.478595142407828}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7e98125af95b51824f8d568621f0df5afc30d7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_964a68cdf278d439 +-- problem_id: v2p_m1_dbc506494c54f98a +-- realization_mode: agent +-- source_kind: agent +SELECT + "Company_Size", + "Age", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS total_measure, + SUM(CAST("Commute_Time_Minutes" AS REAL)) * 100.0 / SUM(SUM(CAST("Commute_Time_Minutes" AS REAL))) OVER (PARTITION BY "Company_Size") AS share_within_group +FROM "m1" +WHERE "Company_Size" IS NOT NULL + AND "Age" IS NOT NULL + AND "Commute_Time_Minutes" IS NOT NULL +GROUP BY "Company_Size", "Age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e318ce874f5df49f766ee37fe5cf7a8d3eb76ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/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 \"Company_Size\",\n \"Age\",\n SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) AS total_measure,\n SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Commute_Time_Minutes\" AS REAL))) OVER (PARTITION BY \"Company_Size\") AS share_within_group\nFROM \"m1\"\nWHERE \"Company_Size\" IS NOT NULL\n AND \"Age\" IS NOT NULL\n AND \"Commute_Time_Minutes\" IS NOT NULL\nGROUP BY \"Company_Size\", \"Age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"Age\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL))) OVER (PARTITION BY \\\"Company_Size\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Age\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\nGROUP BY \\\"Company_Size\\\", \\\"Age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Company_Size\", \"Age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Company_Size\": \"Small (51-200)\", \"Age\": \"22\", \"total_measure\": 949.0, \"share_within_group\": 11.096819457436856}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"22\", \"total_measure\": 460.0, \"share_within_group\": 10.74766355140187}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"22\", \"total_measure\": 1041.0, \"share_within_group\": 10.621365166819713}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"22\", \"total_measure\": 740.0, \"share_within_group\": 7.518796992481203}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"22\", \"total_measure\": 428.0, \"share_within_group\": 7.478595142407828}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"42\", \"total_measure\": 298.0, \"share_within_group\": 6.962616822429907}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"40\", \"total_measure\": 669.0, \"share_within_group\": 6.797398902662061}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"37\", \"total_measure\": 387.0, \"share_within_group\": 6.762187663812686}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"36\", \"total_measure\": 267.0, \"share_within_group\": 6.238317757009346}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"44\", \"total_measure\": 248.0, \"share_within_group\": 5.794392523364486}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"35\", \"total_measure\": 244.0, \"share_within_group\": 5.700934579439252}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"34\", \"total_measure\": 326.0, \"share_within_group\": 5.696313122488205}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"35\", \"total_measure\": 539.0, \"share_within_group\": 5.499438832772166}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"41\", \"total_measure\": 521.0, \"share_within_group\": 5.3157841036628914}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"38\", \"total_measure\": 454.0, \"share_within_group\": 5.308699719363892}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"36\", \"total_measure\": 517.0, \"share_within_group\": 5.252997358260516}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"33\", \"total_measure\": 300.0, \"share_within_group\": 5.242005940940066}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"34\", \"total_measure\": 213.0, \"share_within_group\": 4.9766355140186915}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"36\", \"total_measure\": 284.0, \"share_within_group\": 4.962432290756596}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"29\", \"total_measure\": 480.0, \"share_within_group\": 4.897459442913989}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"34\", \"total_measure\": 479.0, \"share_within_group\": 4.86689697216013}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"39\", \"total_measure\": 474.0, \"share_within_group\": 4.8160942897785}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"30\", \"total_measure\": 275.0, \"share_within_group\": 4.805172112528394}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"40\", \"total_measure\": 275.0, \"share_within_group\": 4.805172112528394}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"26\", \"total_measure\": 469.0, \"share_within_group\": 4.78522599734721}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"30\", \"total_measure\": 405.0, \"share_within_group\": 4.735734331150608}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"35\", \"total_measure\": 457.0, \"share_within_group\": 4.643365169680959}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"48\", \"total_measure\": 193.0, \"share_within_group\": 4.509345794392523}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"25\", \"total_measure\": 380.0, \"share_within_group\": 4.443405051449953}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"37\", \"total_measure\": 435.0, \"share_within_group\": 4.438322620140802}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"28\", \"total_measure\": 433.0, \"share_within_group\": 4.417916539128661}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"29\", \"total_measure\": 376.0, \"share_within_group\": 4.396632366697848}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"35\", \"total_measure\": 376.0, \"share_within_group\": 4.396632366697848}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"38\", \"total_measure\": 246.0, \"share_within_group\": 4.2984448715708545}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"34\", \"total_measure\": 366.0, \"share_within_group\": 4.279700654817587}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"37\", \"total_measure\": 361.0, \"share_within_group\": 4.221234798877456}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"32\", \"total_measure\": 403.0, \"share_within_group\": 4.094696199959358}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"42\", \"total_measure\": 401.0, \"share_within_group\": 4.0914192429343945}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"38\", \"total_measure\": 175.0, \"share_within_group\": 4.088785046728972}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"33\", \"total_measure\": 396.0, \"share_within_group\": 4.023572444625076}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"38\", \"total_measure\": 393.0, \"share_within_group\": 4.009794918885828}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"31\", \"total_measure\": 229.0, \"share_within_group\": 4.001397868250917}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"32\", \"total_measure\": 228.0, \"share_within_group\": 3.9839245151144507}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"40\", \"total_measure\": 389.0, \"share_within_group\": 3.9689827568615446}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"28\", \"total_measure\": 337.0, \"share_within_group\": 3.940598690364827}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"36\", \"total_measure\": 336.0, \"share_within_group\": 3.9289055191768005}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"35\", \"total_measure\": 221.0, \"share_within_group\": 3.8616110431591824}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"38\", \"total_measure\": 379.0, \"share_within_group\": 3.850843324527535}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"32\", \"total_measure\": 328.0, \"share_within_group\": 3.8353601496725913}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"39\", \"total_measure\": 328.0, \"share_within_group\": 3.8353601496725913}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b299d7bf5afce752ba4322cd64a86e7a21c7cb2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:33:52.968405+00:00", + "ended_at": "2026-05-19T15:34:10.804893+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_964a68cdf278d439", + "problem_id": "v2p_m1_dbc506494c54f98a", + "dataset_id": "m1", + "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=Company_Size, measure_col=Commute_Time_Minutes.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Commute_Time_Minutes", + "item_col": "Age", + "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": 38.0, + "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=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_964a68cdf278d439.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_964a68cdf278d439", + "api_calls": 0, + "input_tokens": 16805, + "cached_input_tokens": 12032, + "output_tokens": 726, + "total_tokens": 17531, + "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": 17825.06, + "sql_execution_elapsed_ms_total": 5.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/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_a/m1/artifacts/v2q_m1_964a68cdf278d439/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6fd5fd9d0a2f8ce2ea474dde7d84fa40efa9b20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:10.796550+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": 17825.06, "started_at": "2026-05-19T15:33:52.969758+00:00", "ended_at": "2026-05-19T15:34:10.794852+00:00", "prompt_metrics": {"chars": 16755, "bytes_utf8": 16755, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16805, "cached_input_tokens": 12032, "output_tokens": 726, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"Age\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL))) OVER (PARTITION BY \\\"Company_Size\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Age\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\nGROUP BY \\\"Company_Size\\\", \\\"Age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the requested Within-Group Share of Total template with group_col=\\\"Company_Size\\\", item_col=\\\"Age\\\", and measure_col=\\\"Commute_Time_Minutes\\\". CAST to REAL is needed because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bdfb08f1c5075513d94a2f75a4c12fa12688b077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_964a68cdf278d439", + "api_calls": 0, + "input_tokens": 16805, + "cached_input_tokens": 12032, + "output_tokens": 726, + "total_tokens": 17531, + "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": 17825.06, + "sql_execution_elapsed_ms_total": 5.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_964a68cdf278d439/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_a/m1/artifacts/v2q_m1_98563080c9a3cf68/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b7382f74b465de49f131c7f0f652b4745427641 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Innovation_Score. +Result preview: [{"Innovation_Score": "95.0"}, {"Innovation_Score": "95.0"}, {"Innovation_Score": "95.0"}, {"Innovation_Score": "95.0"}, {"Innovation_Score": "95.0"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f18a3fabebd2966cfd714dc3a576dfaffb988b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_98563080c9a3cf68 +-- problem_id: v2p_m1_c536c84e6e4dd969 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "Innovation_Score", + NTILE(10) OVER (ORDER BY CAST("Innovation_Score" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Innovation_Score" IS NOT NULL +) +SELECT "Innovation_Score" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("Innovation_Score" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77bb7c31905491fbfff5be7f7b530eb6b635175e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"Innovation_Score\",\n NTILE(10) OVER (ORDER BY CAST(\"Innovation_Score\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n WHERE \"Innovation_Score\" IS NOT NULL\n)\nSELECT \"Innovation_Score\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"Innovation_Score\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"Innovation_Score\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Innovation_Score\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Innovation_Score\\\" IS NOT NULL\\n)\\nSELECT \\\"Innovation_Score\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"Innovation_Score\\\" AS REAL) DESC;\", \"columns\": [\"Innovation_Score\"], \"rows\": [{\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}, {\"Innovation_Score\": \"95.0\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2841fccfe9c3fddb37055d7d0a79abf23e07d551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:45:24.403594+00:00", + "ended_at": "2026-05-19T15:45:37.990432+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_98563080c9a3cf68", + "problem_id": "v2p_m1_c536c84e6e4dd969", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Innovation_Score.", + "bindings": { + "measure_col": "Innovation_Score", + "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": 84.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_98563080c9a3cf68.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_98563080c9a3cf68", + "api_calls": 0, + "input_tokens": 16736, + "cached_input_tokens": 15744, + "output_tokens": 511, + "total_tokens": 17247, + "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": 13576.66, + "sql_execution_elapsed_ms_total": 4.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/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_a/m1/artifacts/v2q_m1_98563080c9a3cf68/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c581df28be8ebf0c791dbb629333805d327f21a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:37.983032+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": 13576.66, "started_at": "2026-05-19T15:45:24.404946+00:00", "ended_at": "2026-05-19T15:45:37.981638+00:00", "prompt_metrics": {"chars": 16504, "bytes_utf8": 16504, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 542, "bytes_utf8": 542, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16736, "cached_input_tokens": 15744, "output_tokens": 511, "reasoning_output_tokens": 355}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"Innovation_Score\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Innovation_Score\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Innovation_Score\\\" IS NOT NULL\\n)\\nSELECT \\\"Innovation_Score\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"Innovation_Score\\\" AS REAL) DESC;\",\"notes\":\"Applies the Quantile Tail Slice template to \\\"Innovation_Score\\\", casting from TEXT to REAL so the top decile is computed numerically in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..acc630cb3d3bc0348fd7187eee4767ab2f67d0f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_98563080c9a3cf68", + "api_calls": 0, + "input_tokens": 16736, + "cached_input_tokens": 15744, + "output_tokens": 511, + "total_tokens": 17247, + "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": 13576.66, + "sql_execution_elapsed_ms_total": 4.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_98563080c9a3cf68/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_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..45891ae252f5e4c909bf7d55fc7de40f39fd10b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:52.695676+00:00", + "ended_at": "2026-05-19T16:06:59.843438+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_9e0b72ee5c5cb3e5", + "problem_id": "v2p_m1_668c8532bf5daefc", + "dataset_id": "m1", + "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=Productivity_Score.", + "bindings": { + "measure_col": "Productivity_Score", + "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": 98.0, + "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=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc3f8a321a912cf0493c885247b3070c9b6fda40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0b72ee5c5cb3e5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:55.515312+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": 2816.97, "started_at": "2026-05-19T16:06:52.697582+00:00", "ended_at": "2026-05-19T16:06:55.514578+00:00", "prompt_metrics": {"chars": 16275, "bytes_utf8": 16275, "lines": 454, "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\":\"019e40fd-7532-79c3-b85b-cfdcc22273c6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:59.843338+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": 3325.3, "started_at": "2026-05-19T16:06:56.517121+00:00", "ended_at": "2026-05-19T16:06:59.842472+00:00", "prompt_metrics": {"chars": 16275, "bytes_utf8": 16275, "lines": 454, "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\":\"019e40fd-841e-7cb0-9859-9d855d7bf85e\"}\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_a/m1/artifacts/v2q_m1_9e0c2505f500d820/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0c2505f500d820/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dda1d2b2a843253d888d0dd8f059cd8eba7283a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0c2505f500d820/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:07:50.043749+00:00", + "ended_at": "2026-05-19T16:07:57.399095+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_9e0c2505f500d820", + "problem_id": "v2p_m1_4170882c24300fda", + "dataset_id": "m1", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Location_Type.", + "bindings": { + "group_col": "Location_Type", + "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": 100.0, + "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=1/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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_a/m1/artifacts/v2q_m1_9e0c2505f500d820/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0c2505f500d820/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8349d5695a99b87aafb3fe72552747e3b661a06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_9e0c2505f500d820/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:53.447308+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": 3401.03, "started_at": "2026-05-19T16:07:50.045480+00:00", "ended_at": "2026-05-19T16:07:53.446541+00:00", "prompt_metrics": {"chars": 16318, "bytes_utf8": 16318, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-5519-7283-b848-ad08deb518a7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:57.398973+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": 2949.03, "started_at": "2026-05-19T16:07:54.449152+00:00", "ended_at": "2026-05-19T16:07:57.398223+00:00", "prompt_metrics": {"chars": 16318, "bytes_utf8": 16318, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-665e-7f42-8a72-1ff8e10a9f7a\"}\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_a/m1/artifacts/v2q_m1_a09417f47adcbf76/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77d2f5f4ee2b68e7946b41fdca1ccf6b13909d6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/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=Team_Collaboration_Frequency, measure_col=Years_Experience. +Result preview: [{"Team_Collaboration_Frequency": "Daily", "Quality_Score": "100.0", "total_measure": 444.0, "share_within_group": 19.654714475431607}, {"Team_Collaboration_Frequency": "Weekly", "Quality_Score": "100.0", "total_measure": 298.0, "share_within_group": 18.64831038798498}, {"Team_Collaboration_Frequency": "Few times per week", "Quality_Score": "100.0", "total_measure": 393.0, "share_within_group": 18.59035004730369}, {"Team_Collaboration_Frequency": "Monthly", "Quality_Score": "100.0", "total_measure": 47.0, "share_within_group": 13.314447592067989}, {"Team_Collaboration_Frequency": "Bi-weekly", "Quality_Score": "100.0", "total_measure": 75.0, "share_within_group": 13.204225352112676}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..24a4c0287fa7a6ebd56406ff48b06bb55a2505cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_a09417f47adcbf76 +-- problem_id: v2p_m1_fd18118e7c70e885 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Team_Collaboration_Frequency", + "Quality_Score", + SUM(CAST("Years_Experience" AS REAL)) AS total_measure, + SUM(CAST("Years_Experience" AS REAL)) * 100.0 / SUM(SUM(CAST("Years_Experience" AS REAL))) OVER (PARTITION BY "Team_Collaboration_Frequency") AS share_within_group +FROM "m1" +WHERE "Team_Collaboration_Frequency" IS NOT NULL + AND "Quality_Score" IS NOT NULL + AND "Years_Experience" IS NOT NULL +GROUP BY "Team_Collaboration_Frequency", "Quality_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f5d1e143193365f5a47054f41018adafd6f595e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/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 \"Team_Collaboration_Frequency\",\n \"Quality_Score\",\n SUM(CAST(\"Years_Experience\" AS REAL)) AS total_measure,\n SUM(CAST(\"Years_Experience\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Years_Experience\" AS REAL))) OVER (PARTITION BY \"Team_Collaboration_Frequency\") AS share_within_group\nFROM \"m1\"\nWHERE \"Team_Collaboration_Frequency\" IS NOT NULL\n AND \"Quality_Score\" IS NOT NULL\n AND \"Years_Experience\" IS NOT NULL\nGROUP BY \"Team_Collaboration_Frequency\", \"Quality_Score\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n \\\"Quality_Score\\\",\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Years_Experience\\\" AS REAL))) OVER (PARTITION BY \\\"Team_Collaboration_Frequency\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Team_Collaboration_Frequency\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\nGROUP BY \\\"Team_Collaboration_Frequency\\\", \\\"Quality_Score\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"Quality_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Daily\", \"Quality_Score\": \"100.0\", \"total_measure\": 444.0, \"share_within_group\": 19.654714475431607}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"100.0\", \"total_measure\": 298.0, \"share_within_group\": 18.64831038798498}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"100.0\", \"total_measure\": 393.0, \"share_within_group\": 18.59035004730369}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"100.0\", \"total_measure\": 47.0, \"share_within_group\": 13.314447592067989}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"100.0\", \"total_measure\": 75.0, \"share_within_group\": 13.204225352112676}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"94.0\", \"total_measure\": 23.0, \"share_within_group\": 6.515580736543909}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"80.9\", \"total_measure\": 20.0, \"share_within_group\": 5.665722379603399}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"91.6\", \"total_measure\": 24.0, \"share_within_group\": 4.225352112676056}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"96.1\", \"total_measure\": 24.0, \"share_within_group\": 4.225352112676056}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"62.2\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"88.8\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"90.2\", \"total_measure\": 12.0, \"share_within_group\": 3.3994334277620397}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.8\", \"total_measure\": 11.0, \"share_within_group\": 3.1161473087818696}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"93.3\", \"total_measure\": 11.0, \"share_within_group\": 3.1161473087818696}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"67.6\", \"total_measure\": 10.0, \"share_within_group\": 2.8328611898016995}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.3\", \"total_measure\": 10.0, \"share_within_group\": 2.8328611898016995}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"96.7\", \"total_measure\": 45.0, \"share_within_group\": 2.816020025031289}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"94.1\", \"total_measure\": 42.0, \"share_within_group\": 2.6282853566958697}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"70.6\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"87.3\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"92.3\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"98.6\", \"total_measure\": 9.0, \"share_within_group\": 2.54957507082153}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"87.0\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"93.5\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"98.9\", \"total_measure\": 14.0, \"share_within_group\": 2.464788732394366}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"97.0\", \"total_measure\": 49.0, \"share_within_group\": 2.3178807947019866}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"82.1\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"93.1\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"94.7\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"97.7\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"99.3\", \"total_measure\": 13.0, \"share_within_group\": 2.288732394366197}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"80.0\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"82.4\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"91.5\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"93.9\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"95.3\", \"total_measure\": 8.0, \"share_within_group\": 2.26628895184136}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"87.2\", \"total_measure\": 12.0, \"share_within_group\": 2.112676056338028}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"95.7\", \"total_measure\": 12.0, \"share_within_group\": 2.112676056338028}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"Quality_Score\": \"92.0\", \"total_measure\": 32.0, \"share_within_group\": 2.002503128911139}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"55.8\", \"total_measure\": 7.0, \"share_within_group\": 1.9830028328611897}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"84.4\", \"total_measure\": 7.0, \"share_within_group\": 1.9830028328611897}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"86.9\", \"total_measure\": 11.0, \"share_within_group\": 1.9366197183098592}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"88.1\", \"total_measure\": 11.0, \"share_within_group\": 1.9366197183098592}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"84.4\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"88.8\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"Quality_Score\": \"99.6\", \"total_measure\": 10.0, \"share_within_group\": 1.7605633802816902}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"Quality_Score\": \"94.0\", \"total_measure\": 36.0, \"share_within_group\": 1.7029328287606433}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"72.4\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"81.5\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"Quality_Score\": \"85.3\", \"total_measure\": 6.0, \"share_within_group\": 1.6997167138810199}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a6886354fe0d3f85cfe80b6559f6d89d09c18753 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:36:42.563573+00:00", + "ended_at": "2026-05-19T15:36:55.980425+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a09417f47adcbf76", + "problem_id": "v2p_m1_fd18118e7c70e885", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency, measure_col=Years_Experience.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "measure_col": "Years_Experience", + "item_col": "Quality_Score", + "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": 5.0, + "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=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a09417f47adcbf76.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a09417f47adcbf76", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 15744, + "output_tokens": 638, + "total_tokens": 17449, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13399.44, + "sql_execution_elapsed_ms_total": 9.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/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_a/m1/artifacts/v2q_m1_a09417f47adcbf76/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c78664891318ef606cb1de6eda4ff67c1a7ecfe5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:55.967543+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": 13399.44, "started_at": "2026-05-19T15:36:42.566355+00:00", "ended_at": "2026-05-19T15:36:55.965838+00:00", "prompt_metrics": {"chars": 16790, "bytes_utf8": 16790, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 823, "bytes_utf8": 823, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16811, "cached_input_tokens": 15744, "output_tokens": 638, "reasoning_output_tokens": 416}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n \\\"Quality_Score\\\",\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Years_Experience\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Years_Experience\\\" AS REAL))) OVER (PARTITION BY \\\"Team_Collaboration_Frequency\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Team_Collaboration_Frequency\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n AND \\\"Years_Experience\\\" IS NOT NULL\\nGROUP BY \\\"Team_Collaboration_Frequency\\\", \\\"Quality_Score\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Team_Collaboration_Frequency\\\", item_col=\\\"Quality_Score\\\", and measure_col=\\\"Years_Experience\\\". CAST is applied because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..69d76eed9665f67d3c435f1367a8cdad21dfe070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a09417f47adcbf76", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 15744, + "output_tokens": 638, + "total_tokens": 17449, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13399.44, + "sql_execution_elapsed_ms_total": 9.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a09417f47adcbf76/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_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..02faf8b131c58ac2364f07f4f4f779db9af7d708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:41.085143+00:00", + "ended_at": "2026-05-19T16:08:48.353233+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a2df9b1f89c21ffe", + "problem_id": "v2p_m1_7c0ab46b3033c66b", + "dataset_id": "m1", + "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": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Company_Size.", + "bindings": { + "group_col": "Company_Size", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 41.0, + "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=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bff8429bcf3b5024af2c43033bb650e07ea3bd1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a2df9b1f89c21ffe/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:44.500105+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": 3411.02, "started_at": "2026-05-19T16:08:41.088044+00:00", "ended_at": "2026-05-19T16:08:44.499093+00:00", "prompt_metrics": {"chars": 16317, "bytes_utf8": 16317, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-1c9f-7e01-af0c-2209bef466be\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:48.353147+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": 2850.39, "started_at": "2026-05-19T16:08:45.501927+00:00", "ended_at": "2026-05-19T16:08:48.352360+00:00", "prompt_metrics": {"chars": 16317, "bytes_utf8": 16317, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-2dbc-7d71-8ce4-089dcd569edd\"}\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_a/m1/artifacts/v2q_m1_a31825a6d36707af/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fa390dbd12e47845e4aeea6911e7796053ccf2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Suburban", "support": 672, "support_share": 0.448, "support_rank": 1}, {"value_label": "Urban", "support": 664, "support_share": 0.44266666666666665, "support_rank": 2}, {"value_label": "Rural", "support": 164, "support_share": 0.10933333333333334, "support_rank": 3}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3bf21e4edc238a0db65bffec40ba909efbde415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_a31825a6d36707af +-- problem_id: v2p_m1_ff3c42c8bb9bb9e3 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Location_Type" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Location_Type" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4c48c883bdd3af1c305160c7cf15a07e1b76a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_a31825a6d36707af\n-- problem_id: v2p_m1_ff3c42c8bb9bb9e3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Location_Type\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Location_Type\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_a31825a6d36707af\\n-- problem_id: v2p_m1_ff3c42c8bb9bb9e3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Location_Type\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Location_Type\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Suburban\", \"support\": 672, \"support_share\": 0.448, \"support_rank\": 1}, {\"value_label\": \"Urban\", \"support\": 664, \"support_share\": 0.44266666666666665, \"support_rank\": 2}, {\"value_label\": \"Rural\", \"support\": 164, \"support_share\": 0.10933333333333334, \"support_rank\": 3}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6df98fe363467117c6fa06e096105289004b8dc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.285287+00:00", + "ended_at": "2026-05-19T16:11:34.286679+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a31825a6d36707af", + "problem_id": "v2p_m1_ff3c42c8bb9bb9e3", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Location_Type.", + "bindings": { + "group_col": "Location_Type" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_a31825a6d36707af.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_a/m1/artifacts/v2q_m1_a31825a6d36707af/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a31825a6d36707af/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_a/m1/artifacts/v2q_m1_a46a36a7def755f1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fb19858276c2f053e594efeba94b8ab889f4500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/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=Internet_Speed_Category, measure_col=Efficiency_Rating. +Result preview: [{"Internet_Speed_Category": "Very Fast (100+ Mbps)", "group_value": 62745.1}, {"Internet_Speed_Category": "Fast (50-100 Mbps)", "group_value": 45736.5}, {"Internet_Speed_Category": "Moderate (25-50 Mbps)", "group_value": 20670.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..83f1e1c15a043ecfc1c7ae7f40c92bfeede8ae79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_a46a36a7def755f1 +-- problem_id: v2p_m1_7f9978c5f1117ba4 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Internet_Speed_Category", SUM(CAST("Efficiency_Rating" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Internet_Speed_Category" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."Internet_Speed_Category", 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_a/m1/artifacts/v2q_m1_a46a36a7def755f1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ffee47a77b55a36e398faed31b0bca72e2202c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/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 \"Internet_Speed_Category\", SUM(CAST(\"Efficiency_Rating\" AS REAL)) AS \"group_value\"\n FROM \"m1\"\n GROUP BY \"Internet_Speed_Category\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"Internet_Speed_Category\", 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 \\\"Internet_Speed_Category\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Internet_Speed_Category\\\", 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\": [\"Internet_Speed_Category\", \"group_value\"], \"rows\": [{\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"group_value\": 62745.1}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"group_value\": 45736.5}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"group_value\": 20670.2}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8e574ae2fa18f5cf85722be3ca4f333088cf6169 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:49:55.302037+00:00", + "ended_at": "2026-05-19T15:50:04.083173+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a46a36a7def755f1", + "problem_id": "v2p_m1_7f9978c5f1117ba4", + "dataset_id": "m1", + "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=Internet_Speed_Category, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Internet_Speed_Category", + "measure_col": "Efficiency_Rating", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 95.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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_a/m1/sql/v2q_m1_a46a36a7def755f1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a46a36a7def755f1", + "api_calls": 0, + "input_tokens": 16825, + "cached_input_tokens": 15744, + "output_tokens": 341, + "total_tokens": 17166, + "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": 8775.19, + "sql_execution_elapsed_ms_total": 1.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/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_a/m1/artifacts/v2q_m1_a46a36a7def755f1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3fc46ebed66a7bf5f6b596d9f7c1474c7251b0ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:04.080008+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": 8775.19, "started_at": "2026-05-19T15:49:55.303585+00:00", "ended_at": "2026-05-19T15:50:04.078808+00:00", "prompt_metrics": {"chars": 16923, "bytes_utf8": 16923, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 744, "bytes_utf8": 744, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16825, "cached_input_tokens": 15744, "output_tokens": 341, "reasoning_output_tokens": 142}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"Internet_Speed_Category\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"Internet_Speed_Category\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided relative-to-total threshold template with group_col=Internet_Speed_Category and measure_col=Efficiency_Rating. CAST to REAL is used because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..41b6498d86255e63b2a51bafd00c36348e0db994 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a46a36a7def755f1", + "api_calls": 0, + "input_tokens": 16825, + "cached_input_tokens": 15744, + "output_tokens": 341, + "total_tokens": 17166, + "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": 8775.19, + "sql_execution_elapsed_ms_total": 1.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a46a36a7def755f1/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_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..833006e2b516000c262ebefa0dbf5c7afdbae56a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:48.353639+00:00", + "ended_at": "2026-05-19T16:08:55.913040+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a5e7d46f13575f17", + "problem_id": "v2p_m1_17e03c0cf66d2a49", + "dataset_id": "m1", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Industry.", + "bindings": { + "group_col": "Industry", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "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=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a50b34458c8315e151475d535a15a394909ba516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a5e7d46f13575f17/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:51.600568+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": 3244.69, "started_at": "2026-05-19T16:08:48.355105+00:00", "ended_at": "2026-05-19T16:08:51.599817+00:00", "prompt_metrics": {"chars": 16306, "bytes_utf8": 16306, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-38dc-7230-bc3d-08a30f092866\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:55.912929+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": 3310.5, "started_at": "2026-05-19T16:08:52.601643+00:00", "ended_at": "2026-05-19T16:08:55.912173+00:00", "prompt_metrics": {"chars": 16306, "bytes_utf8": 16306, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-497f-7340-aec3-b130766228ab\"}\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_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9ff007bdc1a2ea1675a0ac4be7a5e253fa0d629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/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=Job_Level, measure_col=Quality_Score. +Result preview: [{"Job_Level": "Junior", "total_measure": 43265.7}, {"Job_Level": "Mid-Level", "total_measure": 35516.0}, {"Job_Level": "Senior", "total_measure": 28583.0}, {"Job_Level": "Lead", "total_measure": 13107.6}, {"Job_Level": "Manager", "total_measure": 5539.6}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3edf32bdc7d82a448c32bfd1cfe0c0b9a6d48b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_a7f3a45c099a8422 +-- problem_id: v2p_m1_0d2fa6441681b93b +-- realization_mode: agent +-- source_kind: agent +SELECT + "Job_Level", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Job_Level" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff60f6942cb0b3b740f519479eedb6d2a3d3ff46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"Job_Level\",\n SUM(CAST(\"Quality_Score\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Job_Level\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Job_Level\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Job_Level\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Job_Level\", \"total_measure\"], \"rows\": [{\"Job_Level\": \"Junior\", \"total_measure\": 43265.7}, {\"Job_Level\": \"Mid-Level\", \"total_measure\": 35516.0}, {\"Job_Level\": \"Senior\", \"total_measure\": 28583.0}, {\"Job_Level\": \"Lead\", \"total_measure\": 13107.6}, {\"Job_Level\": \"Manager\", \"total_measure\": 5539.6}, {\"Job_Level\": \"Director\", \"total_measure\": 604.5}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca2af7bacb8d3e4ebd8d82cc4a9eb024734e2abf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:30:45.451048+00:00", + "ended_at": "2026-05-19T15:30:59.264451+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_a7f3a45c099a8422", + "problem_id": "v2p_m1_0d2fa6441681b93b", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Job_Level, measure_col=Quality_Score.", + "bindings": { + "group_col": "Job_Level", + "measure_col": "Quality_Score", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 93.6, + "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=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_a/m1/sql/v2q_m1_a7f3a45c099a8422.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a7f3a45c099a8422", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 394, + "total_tokens": 17077, + "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": 13809.14, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/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_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24b6df8ccb822ff996838044434920bd7b70fa5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:59.262148+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": 13809.14, "started_at": "2026-05-19T15:30:45.452251+00:00", "ended_at": "2026-05-19T15:30:59.261410+00:00", "prompt_metrics": {"chars": 16331, "bytes_utf8": 16331, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 404, "bytes_utf8": 404, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16683, "cached_input_tokens": 12032, "output_tokens": 394, "reasoning_output_tokens": 285}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"Job_Level\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Job_Level\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped numeric sum template with group_col=\\\"Job_Level\\\" and measure_col=\\\"Quality_Score\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ccfcfc222e9cca2d0d2f82c005f7e5f303f445aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_a7f3a45c099a8422", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 394, + "total_tokens": 17077, + "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": 13809.14, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_a7f3a45c099a8422/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_a/m1/artifacts/v2q_m1_aa25f1891be005fe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e09f3d9d8de928d299f785588eb2ed354ccb2a99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/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=Industry, condition_col=Marital_Status. +Result preview: [{"Industry": "Consulting", "condition_ratio": 4.25}, {"Industry": "Finance", "condition_ratio": 2.086206896551724}, {"Industry": "Technology", "condition_ratio": 1.9689922480620154}, {"Industry": "Non-profit", "condition_ratio": 1.9166666666666667}, {"Industry": "Education", "condition_ratio": 1.8205128205128205}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bac055ef7b500c3ad059f3f54c2db3e049086685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_aa25f1891be005fe +-- problem_id: v2p_m1_94fb69febdd4cdc1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Industry", + SUM(CASE WHEN "Marital_Status" = 'Married' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Marital_Status" = 'Single' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Industry" +) +SELECT "Industry", + 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_a/m1/artifacts/v2q_m1_aa25f1891be005fe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88b0946ad78f3edfce8212d789add893d98ed711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/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 \"Industry\",\n SUM(CASE WHEN \"Marital_Status\" = 'Married' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"Marital_Status\" = 'Single' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m1\"\n GROUP BY \"Industry\"\n)\nSELECT \"Industry\",\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 \\\"Industry\\\",\\n SUM(CASE WHEN \\\"Marital_Status\\\" = 'Married' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Marital_Status\\\" = 'Single' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Industry\\\"\\n)\\nSELECT \\\"Industry\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"Industry\", \"condition_ratio\"], \"rows\": [{\"Industry\": \"Consulting\", \"condition_ratio\": 4.25}, {\"Industry\": \"Finance\", \"condition_ratio\": 2.086206896551724}, {\"Industry\": \"Technology\", \"condition_ratio\": 1.9689922480620154}, {\"Industry\": \"Non-profit\", \"condition_ratio\": 1.9166666666666667}, {\"Industry\": \"Education\", \"condition_ratio\": 1.8205128205128205}, {\"Industry\": \"Government\", \"condition_ratio\": 1.7083333333333333}, {\"Industry\": \"Media\", \"condition_ratio\": 1.6666666666666667}, {\"Industry\": \"Manufacturing\", \"condition_ratio\": 1.5172413793103448}, {\"Industry\": \"Retail\", \"condition_ratio\": 1.5}, {\"Industry\": \"Healthcare\", \"condition_ratio\": 1.4107142857142858}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac66302c45a1f0680603a9eea62588b2e1af67a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:41:58.188843+00:00", + "ended_at": "2026-05-19T15:42:12.682374+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_aa25f1891be005fe", + "problem_id": "v2p_m1_94fb69febdd4cdc1", + "dataset_id": "m1", + "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=Industry, condition_col=Marital_Status.", + "bindings": { + "group_col": "Industry", + "condition_col": "Marital_Status", + "condition_value": "Married", + "positive_value": "Married", + "negative_value": "Single", + "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": 41.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aa25f1891be005fe.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_aa25f1891be005fe", + "api_calls": 0, + "input_tokens": 16892, + "cached_input_tokens": 15744, + "output_tokens": 705, + "total_tokens": 17597, + "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": 14483.48, + "sql_execution_elapsed_ms_total": 2.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/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_a/m1/artifacts/v2q_m1_aa25f1891be005fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3855e46f50d5d3707ec2b2d02d0796d6aa0a426d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:12.676769+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": 14483.48, "started_at": "2026-05-19T15:41:58.191594+00:00", "ended_at": "2026-05-19T15:42:12.675124+00:00", "prompt_metrics": {"chars": 17153, "bytes_utf8": 17153, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 715, "bytes_utf8": 715, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16892, "cached_input_tokens": 15744, "output_tokens": 705, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Industry\\\",\\n SUM(CASE WHEN \\\"Marital_Status\\\" = 'Married' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"Marital_Status\\\" = 'Single' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Industry\\\"\\n)\\nSELECT \\\"Industry\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each industry, the ratio of Married to Single employees based on the provided template. Industries with no Single records return NULL for the ratio because of NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c6c4aaf4f37c8d3ef5bfecf48a544b9d96d08d13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_aa25f1891be005fe", + "api_calls": 0, + "input_tokens": 16892, + "cached_input_tokens": 15744, + "output_tokens": 705, + "total_tokens": 17597, + "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": 14483.48, + "sql_execution_elapsed_ms_total": 2.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aa25f1891be005fe/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_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..42e75ef6a33c2d6422db5d1c38a7e5da8772945c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/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=Home_Office_Quality, measure_col=Stress_Level. +Result preview: [{"Home_Office_Quality": "Poor", "Work_Hours_Per_Week": "43", "total_measure": 88.0, "share_within_group": 13.622291021671826}, {"Home_Office_Quality": "Average", "Work_Hours_Per_Week": "42", "total_measure": 187.0, "share_within_group": 7.2006160954948015}, {"Home_Office_Quality": "Excellent", "Work_Hours_Per_Week": "41", "total_measure": 137.0, "share_within_group": 7.19915922228061}, {"Home_Office_Quality": "Poor", "Work_Hours_Per_Week": "37", "total_measure": 45.0, "share_within_group": 6.96594427244582}, {"Home_Office_Quality": "Good", "Work_Hours_Per_Week": "43", "total_measure": 232.0, "share_within_group": 6.880189798339265}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c52cbae816883654447e8045166250eefd3cb098 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_aadc3c1faafeb752 +-- problem_id: v2p_m1_5e72fed0aa2ca818 +-- realization_mode: agent +-- source_kind: agent +SELECT "Home_Office_Quality", "Work_Hours_Per_Week", + SUM(CAST("Stress_Level" AS REAL)) AS total_measure, + SUM(CAST("Stress_Level" AS REAL)) * 100.0 / SUM(SUM(CAST("Stress_Level" AS REAL))) OVER (PARTITION BY "Home_Office_Quality") AS share_within_group +FROM "m1" +GROUP BY "Home_Office_Quality", "Work_Hours_Per_Week" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de7c80ef091d9dbf920aba782ff19b7ecc09ea82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/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 \"Home_Office_Quality\", \"Work_Hours_Per_Week\",\n SUM(CAST(\"Stress_Level\" AS REAL)) AS total_measure,\n SUM(CAST(\"Stress_Level\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Stress_Level\" AS REAL))) OVER (PARTITION BY \"Home_Office_Quality\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Home_Office_Quality\", \"Work_Hours_Per_Week\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Stress_Level\\\" AS REAL))) OVER (PARTITION BY \\\"Home_Office_Quality\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Home_Office_Quality\", \"Work_Hours_Per_Week\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 88.0, \"share_within_group\": 13.622291021671826}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 187.0, \"share_within_group\": 7.2006160954948015}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 137.0, \"share_within_group\": 7.19915922228061}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 45.0, \"share_within_group\": 6.96594427244582}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 232.0, \"share_within_group\": 6.880189798339265}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 231.0, \"share_within_group\": 6.850533807829182}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 44.0, \"share_within_group\": 6.811145510835913}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 128.0, \"share_within_group\": 6.726221755123489}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 43.0, \"share_within_group\": 6.656346749226006}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 172.0, \"share_within_group\": 6.623026569118213}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 122.0, \"share_within_group\": 6.4109301103520755}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 121.0, \"share_within_group\": 6.358381502890174}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 121.0, \"share_within_group\": 6.358381502890174}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 163.0, \"share_within_group\": 6.27647285329226}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 162.0, \"share_within_group\": 6.237966884867155}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 40.0, \"share_within_group\": 6.191950464396285}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 207.0, \"share_within_group\": 6.1387900355871885}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 159.0, \"share_within_group\": 6.122448979591836}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 157.0, \"share_within_group\": 6.045437042741625}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 38.0, \"share_within_group\": 5.882352941176471}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 196.0, \"share_within_group\": 5.812574139976276}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 150.0, \"share_within_group\": 5.775895263765884}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 150.0, \"share_within_group\": 5.775895263765884}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 108.0, \"share_within_group\": 5.675249605885444}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 191.0, \"share_within_group\": 5.66429418742586}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 107.0, \"share_within_group\": 5.622700998423542}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 188.0, \"share_within_group\": 5.575326215895611}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"48\", \"total_measure\": 104.0, \"share_within_group\": 5.465055176037835}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 141.0, \"share_within_group\": 5.429341547939931}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 183.0, \"share_within_group\": 5.427046263345196}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 137.0, \"share_within_group\": 5.275317674239507}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 172.0, \"share_within_group\": 5.100830367734282}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 132.0, \"share_within_group\": 5.0827878321139774}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 170.0, \"share_within_group\": 5.041518386714117}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 32.0, \"share_within_group\": 4.953560371517028}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 167.0, \"share_within_group\": 4.952550415183867}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 93.0, \"share_within_group\": 4.88702049395691}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"48\", \"total_measure\": 123.0, \"share_within_group\": 4.736234116288025}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 122.0, \"share_within_group\": 4.697728147862919}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"35\", \"total_measure\": 151.0, \"share_within_group\": 4.4780545670225385}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"34\", \"total_measure\": 83.0, \"share_within_group\": 4.361534419337888}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 28.0, \"share_within_group\": 4.3343653250774}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 82.0, \"share_within_group\": 4.308985811875985}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 82.0, \"share_within_group\": 4.308985811875985}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"50\", \"total_measure\": 142.0, \"share_within_group\": 4.211150652431791}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 78.0, \"share_within_group\": 4.098791382028376}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"49\", \"total_measure\": 136.0, \"share_within_group\": 4.033214709371293}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 134.0, \"share_within_group\": 3.973902728351127}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 75.0, \"share_within_group\": 3.9411455596426697}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 132.0, \"share_within_group\": 3.9145907473309607}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c18064dbe0d887c5ae9de71b4625b7e33d5b0761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:35:20.327676+00:00", + "ended_at": "2026-05-19T15:35:35.194208+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_aadc3c1faafeb752", + "problem_id": "v2p_m1_5e72fed0aa2ca818", + "dataset_id": "m1", + "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=Home_Office_Quality, measure_col=Stress_Level.", + "bindings": { + "group_col": "Home_Office_Quality", + "measure_col": "Stress_Level", + "item_col": "Work_Hours_Per_Week", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "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=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "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_a/m1/sql/v2q_m1_aadc3c1faafeb752.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_aadc3c1faafeb752", + "api_calls": 0, + "input_tokens": 16809, + "cached_input_tokens": 15744, + "output_tokens": 608, + "total_tokens": 17417, + "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": 14854.33, + "sql_execution_elapsed_ms_total": 4.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/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_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa2acc337ff425d9077cfb99fea6275a9e2b861b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:35.185648+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": 14854.33, "started_at": "2026-05-19T15:35:20.329483+00:00", "ended_at": "2026-05-19T15:35:35.183850+00:00", "prompt_metrics": {"chars": 16765, "bytes_utf8": 16765, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16809, "cached_input_tokens": 15744, "output_tokens": 608, "reasoning_output_tokens": 416}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Stress_Level\\\" AS REAL))) OVER (PARTITION BY \\\"Home_Office_Quality\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"Home_Office_Quality\\\", item_col=\\\"Work_Hours_Per_Week\\\", and measure_col=\\\"Stress_Level\\\". Cast \\\"Stress_Level\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6617d0a01eb42bb2f30f25c0d1e3bebc48b29ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_aadc3c1faafeb752", + "api_calls": 0, + "input_tokens": 16809, + "cached_input_tokens": 15744, + "output_tokens": 608, + "total_tokens": 17417, + "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": 14854.33, + "sql_execution_elapsed_ms_total": 4.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_aadc3c1faafeb752/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_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1970717d9c2ca6b19d9c7f24b797043c5b37052c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:10:38.977878+00:00", + "ended_at": "2026-05-19T16:10:45.567644+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_acd5edd6276f7df4", + "problem_id": "v2p_m1_bb478d06683bea42", + "dataset_id": "m1", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Education_Level, measure_col=Job_Satisfaction.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "Job_Satisfaction", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 100.0, + "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=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd407a540aeda0c4bcfda7751e24c354e439bb4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_acd5edd6276f7df4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:41.841100+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": 2860.4, "started_at": "2026-05-19T16:10:38.979862+00:00", "ended_at": "2026-05-19T16:10:41.840292+00:00", "prompt_metrics": {"chars": 16435, "bytes_utf8": 16435, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-e902-71b1-ad39-67cb114bcb5d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:45.567548+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": 2724.65, "started_at": "2026-05-19T16:10:42.842129+00:00", "ended_at": "2026-05-19T16:10:45.566809+00:00", "prompt_metrics": {"chars": 16435, "bytes_utf8": 16435, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-f814-73a1-8a21-3e7b6c8ea7bf\"}\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_a/m1/artifacts/v2q_m1_ae904dc31842a947/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c8e2ee6a90a085d79d0c14fb31a8a74e962348d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/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=Team_Collaboration_Frequency. +Result preview: [{"Team_Collaboration_Frequency": "Daily", "row_count": 510}, {"Team_Collaboration_Frequency": "Few times per week", "row_count": 445}, {"Team_Collaboration_Frequency": "Weekly", "row_count": 340}, {"Team_Collaboration_Frequency": "Bi-weekly", "row_count": 131}, {"Team_Collaboration_Frequency": "Monthly", "row_count": 74}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be7a32074e2136094ed16b2eca38f35ab89f974e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_ae904dc31842a947 +-- problem_id: v2p_m1_a0748ef3f83d4716 +-- realization_mode: agent +-- source_kind: agent +SELECT "Team_Collaboration_Frequency", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Team_Collaboration_Frequency" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2dda96d0b726f5c925686a6e23439b653a61c511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/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 \"Team_Collaboration_Frequency\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nGROUP BY \"Team_Collaboration_Frequency\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Team_Collaboration_Frequency\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"row_count\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Daily\", \"row_count\": 510}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"row_count\": 445}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"row_count\": 340}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"row_count\": 131}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"row_count\": 74}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..18766d36085cd8d422fc1d1658f4401b9839ac38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:32:02.435953+00:00", + "ended_at": "2026-05-19T15:32:09.792690+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_ae904dc31842a947", + "problem_id": "v2p_m1_a0748ef3f83d4716", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "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": 7.0, + "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=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ae904dc31842a947.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ae904dc31842a947", + "api_calls": 0, + "input_tokens": 16662, + "cached_input_tokens": 15744, + "output_tokens": 226, + "total_tokens": 16888, + "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": 7348.76, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/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_a/m1/artifacts/v2q_m1_ae904dc31842a947/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d05e33bc8818c35a6ce31e486461750cbfb5b86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:09.787714+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": 7348.76, "started_at": "2026-05-19T15:32:02.437325+00:00", "ended_at": "2026-05-19T15:32:09.786124+00:00", "prompt_metrics": {"chars": 16267, "bytes_utf8": 16267, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16662, "cached_input_tokens": 15744, "output_tokens": 226, "reasoning_output_tokens": 133}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Team_Collaboration_Frequency\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided grouped count template with group_col bound to \\\"Team_Collaboration_Frequency\\\" on the single table \\\"m1\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9f1bc7253b74ea2785f508f9350874fc071581c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ae904dc31842a947", + "api_calls": 0, + "input_tokens": 16662, + "cached_input_tokens": 15744, + "output_tokens": 226, + "total_tokens": 16888, + "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": 7348.76, + "sql_execution_elapsed_ms_total": 2.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ae904dc31842a947/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_a/m1/artifacts/v2q_m1_b068fb4b170e2067/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..12d49a01ea7a5578d04a69c7f5b31fc84bac22e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Work_Hours_Per_Week": "45", "support": 102, "avg_response": 4.764705882352941}, {"Work_Hours_Per_Week": "43", "support": 100, "avg_response": 4.59}, {"Work_Hours_Per_Week": "39", "support": 96, "avg_response": 4.625}, {"Work_Hours_Per_Week": "42", "support": 96, "avg_response": 4.364583333333333}, {"Work_Hours_Per_Week": "44", "support": 86, "avg_response": 4.558139534883721}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6243c19e3d8138b2585ffb350c32fe3a38fa47b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_b068fb4b170e2067 +-- problem_id: v2p_m1_5217cba70405517b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Work_Hours_Per_Week", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Work_Hours_Per_Week" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff5c911c3ee43a8d8628a3f7130bdf4ae1a896bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_b068fb4b170e2067\n-- problem_id: v2p_m1_5217cba70405517b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Work_Hours_Per_Week\",\n COUNT(*) AS support,\n AVG(\"Years_Experience\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Work_Hours_Per_Week\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_b068fb4b170e2067\\n-- problem_id: v2p_m1_5217cba70405517b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Work_Hours_Per_Week\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Years_Experience\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Hours_Per_Week\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Work_Hours_Per_Week\", \"support\", \"avg_response\"], \"rows\": [{\"Work_Hours_Per_Week\": \"45\", \"support\": 102, \"avg_response\": 4.764705882352941}, {\"Work_Hours_Per_Week\": \"43\", \"support\": 100, \"avg_response\": 4.59}, {\"Work_Hours_Per_Week\": \"39\", \"support\": 96, \"avg_response\": 4.625}, {\"Work_Hours_Per_Week\": \"42\", \"support\": 96, \"avg_response\": 4.364583333333333}, {\"Work_Hours_Per_Week\": \"44\", \"support\": 86, \"avg_response\": 4.558139534883721}, {\"Work_Hours_Per_Week\": \"41\", \"support\": 84, \"avg_response\": 4.4523809523809526}, {\"Work_Hours_Per_Week\": \"46\", \"support\": 79, \"avg_response\": 5.1265822784810124}, {\"Work_Hours_Per_Week\": \"40\", \"support\": 75, \"avg_response\": 4.226666666666667}, {\"Work_Hours_Per_Week\": \"47\", \"support\": 74, \"avg_response\": 4.216216216216216}, {\"Work_Hours_Per_Week\": \"36\", \"support\": 72, \"avg_response\": 5.652777777777778}, {\"Work_Hours_Per_Week\": \"38\", \"support\": 71, \"avg_response\": 4.126760563380282}, {\"Work_Hours_Per_Week\": \"37\", \"support\": 70, \"avg_response\": 5.114285714285714}, {\"Work_Hours_Per_Week\": \"48\", \"support\": 64, \"avg_response\": 4.59375}, {\"Work_Hours_Per_Week\": \"35\", \"support\": 54, \"avg_response\": 5.666666666666667}, {\"Work_Hours_Per_Week\": \"49\", \"support\": 52, \"avg_response\": 4.769230769230769}, {\"Work_Hours_Per_Week\": \"50\", \"support\": 52, \"avg_response\": 4.3076923076923075}, {\"Work_Hours_Per_Week\": \"34\", \"support\": 46, \"avg_response\": 4.391304347826087}, {\"Work_Hours_Per_Week\": \"33\", \"support\": 43, \"avg_response\": 5.534883720930233}, {\"Work_Hours_Per_Week\": \"51\", \"support\": 29, \"avg_response\": 4.724137931034483}, {\"Work_Hours_Per_Week\": \"32\", \"support\": 25, \"avg_response\": 4.2}, {\"Work_Hours_Per_Week\": \"30\", \"support\": 24, \"avg_response\": 2.125}, {\"Work_Hours_Per_Week\": \"52\", \"support\": 21, \"avg_response\": 3.0952380952380953}, {\"Work_Hours_Per_Week\": \"53\", \"support\": 19, \"avg_response\": 5.947368421052632}, {\"Work_Hours_Per_Week\": \"31\", \"support\": 11, \"avg_response\": 4.909090909090909}, {\"Work_Hours_Per_Week\": \"27\", \"support\": 9, \"avg_response\": 4.111111111111111}, {\"Work_Hours_Per_Week\": \"25\", \"support\": 8, \"avg_response\": 2.375}, {\"Work_Hours_Per_Week\": \"55\", \"support\": 7, \"avg_response\": 4.0}, {\"Work_Hours_Per_Week\": \"54\", \"support\": 6, \"avg_response\": 4.833333333333333}, {\"Work_Hours_Per_Week\": \"28\", \"support\": 5, \"avg_response\": 1.8}, {\"Work_Hours_Per_Week\": \"29\", \"support\": 5, \"avg_response\": 1.2}], \"row_count_returned\": 30, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..580f25a6d5e66c9ef1fa917523cb63faa6d3a293 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.309149+00:00", + "ended_at": "2026-05-19T16:11:34.310883+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b068fb4b170e2067", + "problem_id": "v2p_m1_5217cba70405517b", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Years_Experience, key_col=Work_Hours_Per_Week.", + "bindings": { + "key_col": "Work_Hours_Per_Week", + "measure_col": "Years_Experience", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b068fb4b170e2067.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_a/m1/artifacts/v2q_m1_b068fb4b170e2067/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b068fb4b170e2067/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_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1610716d2d55d586153379da7d835f71adf8280b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/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=Has_Children, condition_col=Team_Collaboration_Frequency. +Result preview: [{"Has_Children": "No", "condition_ratio": 1.1757322175732217}, {"Has_Children": "Yes", "condition_ratio": 1.1116504854368932}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..44581adc9d20deeba283d5a2f2ecf06900fa9c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b0f40efb5992b84c +-- problem_id: v2p_m1_95c25cf2c547e86f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Has_Children", + SUM(CASE WHEN "Team_Collaboration_Frequency" = 'Daily' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Team_Collaboration_Frequency" = 'Few times per week' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Has_Children" +) +SELECT + "Has_Children", + 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_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..321e7125e2f0c36255089e5df8f64c0d5a4d208b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/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 \"Has_Children\",\n SUM(CASE WHEN \"Team_Collaboration_Frequency\" = 'Daily' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Team_Collaboration_Frequency\" = 'Few times per week' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m1\"\n GROUP BY \"Has_Children\"\n)\nSELECT\n \"Has_Children\",\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 \\\"Has_Children\\\",\\n SUM(CASE WHEN \\\"Team_Collaboration_Frequency\\\" = 'Daily' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Team_Collaboration_Frequency\\\" = 'Few times per week' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Has_Children\\\"\\n)\\nSELECT\\n \\\"Has_Children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Has_Children\", \"condition_ratio\"], \"rows\": [{\"Has_Children\": \"No\", \"condition_ratio\": 1.1757322175732217}, {\"Has_Children\": \"Yes\", \"condition_ratio\": 1.1116504854368932}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b469e7973b9fddec89edcbe9fa052a6725b391bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:40:41.181823+00:00", + "ended_at": "2026-05-19T15:40:58.279602+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b0f40efb5992b84c", + "problem_id": "v2p_m1_95c25cf2c547e86f", + "dataset_id": "m1", + "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=Has_Children, condition_col=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Has_Children", + "condition_col": "Team_Collaboration_Frequency", + "condition_value": "Daily", + "positive_value": "Daily", + "negative_value": "Few times per week", + "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": 10.0, + "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=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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_a/m1/sql/v2q_m1_b0f40efb5992b84c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b0f40efb5992b84c", + "api_calls": 0, + "input_tokens": 16903, + "cached_input_tokens": 12032, + "output_tokens": 611, + "total_tokens": 17514, + "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": 17093.01, + "sql_execution_elapsed_ms_total": 1.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/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_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b11dad638702e537314df6889267c3069151f2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:58.276951+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": 17093.01, "started_at": "2026-05-19T15:40:41.183198+00:00", "ended_at": "2026-05-19T15:40:58.276229+00:00", "prompt_metrics": {"chars": 17196, "bytes_utf8": 17196, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 763, "bytes_utf8": 763, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16903, "cached_input_tokens": 12032, "output_tokens": 611, "reasoning_output_tokens": 407}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"Has_Children\\\",\\n SUM(CASE WHEN \\\"Team_Collaboration_Frequency\\\" = 'Daily' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Team_Collaboration_Frequency\\\" = 'Few times per week' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Has_Children\\\"\\n)\\nSELECT\\n \\\"Has_Children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"Has_Children\\\" and condition_col=\\\"Team_Collaboration_Frequency\\\", computing the ratio of 'Daily' to 'Few times per week' within each group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f7658bcd384aa1324dac01f978c541569e0a243a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b0f40efb5992b84c", + "api_calls": 0, + "input_tokens": 16903, + "cached_input_tokens": 12032, + "output_tokens": 611, + "total_tokens": 17514, + "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": 17093.01, + "sql_execution_elapsed_ms_total": 1.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b0f40efb5992b84c/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_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..29cafa141e41aa31eb350ef6194cff4243242dc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:09:03.857224+00:00", + "ended_at": "2026-05-19T16:09:11.225809+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b233ce118c77ef0b", + "problem_id": "v2p_m1_b38c4e0fc833b511", + "dataset_id": "m1", + "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=Stress_Level, measure_col=Quality_Score.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "Quality_Score", + "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": 96.225, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..698c82fada45add18c7b303cf1821617b7eed1ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b233ce118c77ef0b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:07.002827+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": 3143.11, "started_at": "2026-05-19T16:09:03.858950+00:00", "ended_at": "2026-05-19T16:09:07.002093+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-758f-7db2-8c36-c34ce49448b4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:11.225710+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": 3220.89, "started_at": "2026-05-19T16:09:08.003968+00:00", "ended_at": "2026-05-19T16:09:11.224890+00:00", "prompt_metrics": {"chars": 16424, "bytes_utf8": 16424, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-85a1-7141-a103-5268677adee7\"}\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_a/m1/artifacts/v2q_m1_b2a704c3a211637e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..818ae503a0d2da88ec255bc42b71b1b21b4ca36b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/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=Department, measure_col=Task_Completion_Rate. +Result preview: [{"Department": "Engineering", "total_measure": 38249.0}, {"Department": "Sales", "total_measure": 16275.7}, {"Department": "Marketing", "total_measure": 14651.8}, {"Department": "Operations", "total_measure": 11219.7}, {"Department": "Customer Success", "total_measure": 9490.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..20f9cf1665d45a8e654c6d84b93f9b6af13834d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b2a704c3a211637e +-- problem_id: v2p_m1_2c5d8c71727dc7e9 +-- realization_mode: agent +-- source_kind: agent +SELECT "Department", SUM(CAST("Task_Completion_Rate" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Department" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..628826eb789afa2f5bb563177d3e0b54b4585302 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/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 \"Department\", SUM(CAST(\"Task_Completion_Rate\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Department\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Department\\\", SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Department\", \"total_measure\"], \"rows\": [{\"Department\": \"Engineering\", \"total_measure\": 38249.0}, {\"Department\": \"Sales\", \"total_measure\": 16275.7}, {\"Department\": \"Marketing\", \"total_measure\": 14651.8}, {\"Department\": \"Operations\", \"total_measure\": 11219.7}, {\"Department\": \"Customer Success\", \"total_measure\": 9490.1}, {\"Department\": \"Finance\", \"total_measure\": 9181.5}, {\"Department\": \"HR\", \"total_measure\": 8369.6}, {\"Department\": \"Product\", \"total_measure\": 6606.6}, {\"Department\": \"Design\", \"total_measure\": 5126.3}, {\"Department\": \"Data Science\", \"total_measure\": 4590.4}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bb0f4a85eacb88fc6b6e55e7031f8917636bf777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:30:15.211482+00:00", + "ended_at": "2026-05-19T15:30:25.272428+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b2a704c3a211637e", + "problem_id": "v2p_m1_2c5d8c71727dc7e9", + "dataset_id": "m1", + "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=Department, measure_col=Task_Completion_Rate.", + "bindings": { + "group_col": "Department", + "measure_col": "Task_Completion_Rate", + "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": 92.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b2a704c3a211637e.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b2a704c3a211637e", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 342, + "total_tokens": 17027, + "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": 10054.43, + "sql_execution_elapsed_ms_total": 1.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/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_a/m1/artifacts/v2q_m1_b2a704c3a211637e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3274a9ad8c4239dea9162bfbafc96d72d92eec88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:25.268507+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": 10054.43, "started_at": "2026-05-19T15:30:15.212814+00:00", "ended_at": "2026-05-19T15:30:25.267270+00:00", "prompt_metrics": {"chars": 16348, "bytes_utf8": 16348, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16685, "cached_input_tokens": 12032, "output_tokens": 342, "reasoning_output_tokens": 245}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Department\\\", SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with \\\"Department\\\" as the grouping column and cast \\\"Task_Completion_Rate\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..719d2191dfbe1be56fe9c90e13bf0d14f7d4ec95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b2a704c3a211637e", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 342, + "total_tokens": 17027, + "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": 10054.43, + "sql_execution_elapsed_ms_total": 1.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b2a704c3a211637e/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_a/m1/artifacts/v2q_m1_b562a878d4acaa92/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b562a878d4acaa92/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f3258c245a71c75a516c515b08ab92dd8046979e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b562a878d4acaa92/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:10:53.257682+00:00", + "ended_at": "2026-05-19T16:11:01.102377+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b562a878d4acaa92", + "problem_id": "v2p_m1_c30e125665b9aa40", + "dataset_id": "m1", + "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=Marital_Status, measure_col=Stress_Level.", + "bindings": { + "group_col": "Marital_Status", + "measure_col": "Stress_Level", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "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=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b562a878d4acaa92/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b562a878d4acaa92/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec5d875b2e8a2c1f0cb23e01881019f9224142b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b562a878d4acaa92/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:57.037950+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": 3777.05, "started_at": "2026-05-19T16:10:53.260083+00:00", "ended_at": "2026-05-19T16:10:57.037167+00:00", "prompt_metrics": {"chars": 16422, "bytes_utf8": 16422, "lines": 456, "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\":\"019e4101-20b6-7c12-a6eb-a2e6116c9239\"}\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": "2026-05-19T16:11:01.102286+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": 3062.51, "started_at": "2026-05-19T16:10:58.038941+00:00", "ended_at": "2026-05-19T16:11:01.101479+00:00", "prompt_metrics": {"chars": 16422, "bytes_utf8": 16422, "lines": 456, "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\":\"019e4101-3392-7cd1-a5a0-48b607d64774\"}\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_a/m1/artifacts/v2q_m1_b80ca91cec049995/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..00566049e9deccc920b266a73e44696e0853515a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/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=Company_Size, measure_col=Commute_Time_Minutes. +Result preview: [{"Company_Size": "Small (51-200)", "Age": "22", "total_measure": 949.0, "share_within_group": 11.096819457436856}, {"Company_Size": "Enterprise (5000+)", "Age": "22", "total_measure": 460.0, "share_within_group": 10.74766355140187}, {"Company_Size": "Medium (201-1000)", "Age": "22", "total_measure": 1041.0, "share_within_group": 10.621365166819713}, {"Company_Size": "Large (1001-5000)", "Age": "22", "total_measure": 740.0, "share_within_group": 7.518796992481203}, {"Company_Size": "Startup (1-50)", "Age": "22", "total_measure": 428.0, "share_within_group": 7.478595142407828}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8645b100e515967c20a3b393de8184de4e58f5bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b80ca91cec049995 +-- problem_id: v2p_m1_7ff4d256ecaa60fa +-- realization_mode: agent +-- source_kind: agent +SELECT + "Company_Size", + "Age", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS total_measure, + SUM(CAST("Commute_Time_Minutes" AS REAL)) * 100.0 + / SUM(SUM(CAST("Commute_Time_Minutes" AS REAL))) OVER (PARTITION BY "Company_Size") AS share_within_group +FROM "m1" +WHERE "Company_Size" IS NOT NULL + AND "Age" IS NOT NULL + AND "Commute_Time_Minutes" IS NOT NULL + AND TRIM("Commute_Time_Minutes") <> '' +GROUP BY "Company_Size", "Age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6952c5aedd4aa5a6dbda79e88cbad397a14bd1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/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 \"Company_Size\",\n \"Age\",\n SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) AS total_measure,\n SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"Commute_Time_Minutes\" AS REAL))) OVER (PARTITION BY \"Company_Size\") AS share_within_group\nFROM \"m1\"\nWHERE \"Company_Size\" IS NOT NULL\n AND \"Age\" IS NOT NULL\n AND \"Commute_Time_Minutes\" IS NOT NULL\n AND TRIM(\"Commute_Time_Minutes\") <> ''\nGROUP BY \"Company_Size\", \"Age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"Age\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL))) OVER (PARTITION BY \\\"Company_Size\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Age\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\n AND TRIM(\\\"Commute_Time_Minutes\\\") <> ''\\nGROUP BY \\\"Company_Size\\\", \\\"Age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Company_Size\", \"Age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Company_Size\": \"Small (51-200)\", \"Age\": \"22\", \"total_measure\": 949.0, \"share_within_group\": 11.096819457436856}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"22\", \"total_measure\": 460.0, \"share_within_group\": 10.74766355140187}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"22\", \"total_measure\": 1041.0, \"share_within_group\": 10.621365166819713}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"22\", \"total_measure\": 740.0, \"share_within_group\": 7.518796992481203}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"22\", \"total_measure\": 428.0, \"share_within_group\": 7.478595142407828}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"42\", \"total_measure\": 298.0, \"share_within_group\": 6.962616822429907}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"40\", \"total_measure\": 669.0, \"share_within_group\": 6.797398902662061}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"37\", \"total_measure\": 387.0, \"share_within_group\": 6.762187663812686}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"36\", \"total_measure\": 267.0, \"share_within_group\": 6.238317757009346}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"44\", \"total_measure\": 248.0, \"share_within_group\": 5.794392523364486}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"35\", \"total_measure\": 244.0, \"share_within_group\": 5.700934579439252}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"34\", \"total_measure\": 326.0, \"share_within_group\": 5.696313122488205}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"35\", \"total_measure\": 539.0, \"share_within_group\": 5.499438832772166}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"41\", \"total_measure\": 521.0, \"share_within_group\": 5.3157841036628914}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"38\", \"total_measure\": 454.0, \"share_within_group\": 5.308699719363892}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"36\", \"total_measure\": 517.0, \"share_within_group\": 5.252997358260516}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"33\", \"total_measure\": 300.0, \"share_within_group\": 5.242005940940066}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"34\", \"total_measure\": 213.0, \"share_within_group\": 4.9766355140186915}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"36\", \"total_measure\": 284.0, \"share_within_group\": 4.962432290756596}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"29\", \"total_measure\": 480.0, \"share_within_group\": 4.897459442913989}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"34\", \"total_measure\": 479.0, \"share_within_group\": 4.86689697216013}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"39\", \"total_measure\": 474.0, \"share_within_group\": 4.8160942897785}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"30\", \"total_measure\": 275.0, \"share_within_group\": 4.805172112528394}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"40\", \"total_measure\": 275.0, \"share_within_group\": 4.805172112528394}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"26\", \"total_measure\": 469.0, \"share_within_group\": 4.78522599734721}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"30\", \"total_measure\": 405.0, \"share_within_group\": 4.735734331150608}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"35\", \"total_measure\": 457.0, \"share_within_group\": 4.643365169680959}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"48\", \"total_measure\": 193.0, \"share_within_group\": 4.509345794392523}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"25\", \"total_measure\": 380.0, \"share_within_group\": 4.443405051449953}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"37\", \"total_measure\": 435.0, \"share_within_group\": 4.438322620140802}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"28\", \"total_measure\": 433.0, \"share_within_group\": 4.417916539128661}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"29\", \"total_measure\": 376.0, \"share_within_group\": 4.396632366697848}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"35\", \"total_measure\": 376.0, \"share_within_group\": 4.396632366697848}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"38\", \"total_measure\": 246.0, \"share_within_group\": 4.2984448715708545}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"34\", \"total_measure\": 366.0, \"share_within_group\": 4.279700654817587}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"37\", \"total_measure\": 361.0, \"share_within_group\": 4.221234798877456}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"32\", \"total_measure\": 403.0, \"share_within_group\": 4.094696199959358}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"42\", \"total_measure\": 401.0, \"share_within_group\": 4.0914192429343945}, {\"Company_Size\": \"Enterprise (5000+)\", \"Age\": \"38\", \"total_measure\": 175.0, \"share_within_group\": 4.088785046728972}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"33\", \"total_measure\": 396.0, \"share_within_group\": 4.023572444625076}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"38\", \"total_measure\": 393.0, \"share_within_group\": 4.009794918885828}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"31\", \"total_measure\": 229.0, \"share_within_group\": 4.001397868250917}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"32\", \"total_measure\": 228.0, \"share_within_group\": 3.9839245151144507}, {\"Company_Size\": \"Medium (201-1000)\", \"Age\": \"40\", \"total_measure\": 389.0, \"share_within_group\": 3.9689827568615446}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"28\", \"total_measure\": 337.0, \"share_within_group\": 3.940598690364827}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"36\", \"total_measure\": 336.0, \"share_within_group\": 3.9289055191768005}, {\"Company_Size\": \"Startup (1-50)\", \"Age\": \"35\", \"total_measure\": 221.0, \"share_within_group\": 3.8616110431591824}, {\"Company_Size\": \"Large (1001-5000)\", \"Age\": \"38\", \"total_measure\": 379.0, \"share_within_group\": 3.850843324527535}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"32\", \"total_measure\": 328.0, \"share_within_group\": 3.8353601496725913}, {\"Company_Size\": \"Small (51-200)\", \"Age\": \"39\", \"total_measure\": 328.0, \"share_within_group\": 3.8353601496725913}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dd1249adbd889cd9c08efca06106f4b3905a837b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:34:10.806122+00:00", + "ended_at": "2026-05-19T15:34:30.894261+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b80ca91cec049995", + "problem_id": "v2p_m1_7ff4d256ecaa60fa", + "dataset_id": "m1", + "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=Company_Size, measure_col=Commute_Time_Minutes.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Commute_Time_Minutes", + "item_col": "Age", + "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": 33.0, + "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=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_b80ca91cec049995.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b80ca91cec049995", + "api_calls": 0, + "input_tokens": 16804, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 17483, + "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": 20074.86, + "sql_execution_elapsed_ms_total": 5.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/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_a/m1/artifacts/v2q_m1_b80ca91cec049995/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c038440843aad54fccbc2aa69fc5e28ac4d5b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:30.885497+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": 20074.86, "started_at": "2026-05-19T15:34:10.808895+00:00", "ended_at": "2026-05-19T15:34:30.883800+00:00", "prompt_metrics": {"chars": 16752, "bytes_utf8": 16752, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 774, "bytes_utf8": 774, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16804, "cached_input_tokens": 12032, "output_tokens": 679, "reasoning_output_tokens": 458}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Company_Size\\\",\\n \\\"Age\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL))) OVER (PARTITION BY \\\"Company_Size\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Company_Size\\\" IS NOT NULL\\n AND \\\"Age\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\n AND TRIM(\\\"Commute_Time_Minutes\\\") <> ''\\nGROUP BY \\\"Company_Size\\\", \\\"Age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Company_Size\\\", item_col=\\\"Age\\\", and measure_col=\\\"Commute_Time_Minutes\\\", casting the TEXT measure to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bef63e9743a8d0a9bd1ccce74931510e4cb0a511 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b80ca91cec049995", + "api_calls": 0, + "input_tokens": 16804, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 17483, + "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": 20074.86, + "sql_execution_elapsed_ms_total": 5.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b80ca91cec049995/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_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b918f6fed8e29d06970dd6d9f10786bd7fe52e9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/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=Has_Children, group_col_2=Industry. +Result preview: [{"Has_Children": "No", "Industry": "Technology", "row_count": 67}, {"Has_Children": "Yes", "Industry": "Technology", "row_count": 54}, {"Has_Children": "No", "Industry": "Finance", "row_count": 34}, {"Has_Children": "Yes", "Industry": "Finance", "row_count": 28}, {"Has_Children": "No", "Industry": "Healthcare", "row_count": 26}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..689b6b841740f6afcf7d6a3b1a188c0fd9dd3a95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b88b57c0a6139d5b +-- problem_id: v2p_m1_f7d3184ca267e302 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Industry", COUNT(*) AS "row_count" +FROM "m1" +WHERE CAST("Innovation_Score" AS REAL) >= 84.2 +GROUP BY "Has_Children", "Industry" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d96f6eb911bc5c975ec92556f0c8618cda97be24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/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 \"Has_Children\", \"Industry\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nWHERE CAST(\"Innovation_Score\" AS REAL) >= 84.2\nGROUP BY \"Has_Children\", \"Industry\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Industry\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Innovation_Score\\\" AS REAL) >= 84.2\\nGROUP BY \\\"Has_Children\\\", \\\"Industry\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Has_Children\", \"Industry\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Industry\": \"Technology\", \"row_count\": 67}, {\"Has_Children\": \"Yes\", \"Industry\": \"Technology\", \"row_count\": 54}, {\"Has_Children\": \"No\", \"Industry\": \"Finance\", \"row_count\": 34}, {\"Has_Children\": \"Yes\", \"Industry\": \"Finance\", \"row_count\": 28}, {\"Has_Children\": \"No\", \"Industry\": \"Healthcare\", \"row_count\": 26}, {\"Has_Children\": \"Yes\", \"Industry\": \"Healthcare\", \"row_count\": 25}, {\"Has_Children\": \"No\", \"Industry\": \"Education\", \"row_count\": 22}, {\"Has_Children\": \"Yes\", \"Industry\": \"Education\", \"row_count\": 16}, {\"Has_Children\": \"Yes\", \"Industry\": \"Retail\", \"row_count\": 16}, {\"Has_Children\": \"No\", \"Industry\": \"Manufacturing\", \"row_count\": 12}, {\"Has_Children\": \"No\", \"Industry\": \"Retail\", \"row_count\": 12}, {\"Has_Children\": \"Yes\", \"Industry\": \"Manufacturing\", \"row_count\": 11}, {\"Has_Children\": \"Yes\", \"Industry\": \"Media\", \"row_count\": 10}, {\"Has_Children\": \"No\", \"Industry\": \"Consulting\", \"row_count\": 9}, {\"Has_Children\": \"No\", \"Industry\": \"Media\", \"row_count\": 9}, {\"Has_Children\": \"No\", \"Industry\": \"Government\", \"row_count\": 7}, {\"Has_Children\": \"Yes\", \"Industry\": \"Consulting\", \"row_count\": 7}, {\"Has_Children\": \"Yes\", \"Industry\": \"Non-profit\", \"row_count\": 6}, {\"Has_Children\": \"Yes\", \"Industry\": \"Government\", \"row_count\": 5}, {\"Has_Children\": \"No\", \"Industry\": \"Non-profit\", \"row_count\": 4}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3a347616dec76eb50fbd29a681d9fe57613739a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:42:47.931236+00:00", + "ended_at": "2026-05-19T15:42:58.697572+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_b88b57c0a6139d5b", + "problem_id": "v2p_m1_f7d3184ca267e302", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Industry.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Industry", + "predicate_col": "Innovation_Score", + "predicate_op": ">=", + "predicate_value": 84.2, + "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": 84.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_a/m1/sql/v2q_m1_b88b57c0a6139d5b.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b88b57c0a6139d5b", + "api_calls": 0, + "input_tokens": 16777, + "cached_input_tokens": 15744, + "output_tokens": 545, + "total_tokens": 17322, + "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": 10760.92, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/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_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a753643dd265d3e4512df6c5570ef36b1e7cda9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:58.694673+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": 10760.92, "started_at": "2026-05-19T15:42:47.932649+00:00", "ended_at": "2026-05-19T15:42:58.693614+00:00", "prompt_metrics": {"chars": 16644, "bytes_utf8": 16644, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 476, "bytes_utf8": 476, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16777, "cached_input_tokens": 15744, "output_tokens": 545, "reasoning_output_tokens": 418}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Industry\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Innovation_Score\\\" AS REAL) >= 84.2\\nGROUP BY \\\"Has_Children\\\", \\\"Industry\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with \\\"Has_Children\\\" and \\\"Industry\\\". CAST(\\\"Innovation_Score\\\" AS REAL) is applied because the SQLite schema stores this numeric field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..176dc7586abb80d46217fe38e7e69c7c6ea7e194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_b88b57c0a6139d5b", + "api_calls": 0, + "input_tokens": 16777, + "cached_input_tokens": 15744, + "output_tokens": 545, + "total_tokens": 17322, + "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": 10760.92, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_b88b57c0a6139d5b/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_a/m1/artifacts/v2q_m1_ba7002d219507656/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8595af13b33b89f171c3190deb026d7396625550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2024-05-04", "support": 22, "support_share": 0.014666666666666666, "support_rank": 1}, {"value_label": "2024-02-15", "support": 21, "support_share": 0.014, "support_rank": 2}, {"value_label": "2024-03-25", "support": 20, "support_share": 0.013333333333333334, "support_rank": 3}, {"value_label": "2024-02-17", "support": 19, "support_share": 0.012666666666666666, "support_rank": 4}, {"value_label": "2024-02-19", "support": 18, "support_share": 0.012, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fb31292564d8928d9107d83c052e73018f68f8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_ba7002d219507656 +-- problem_id: v2p_m1_e976b1018250a839 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Survey_Date" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Survey_Date" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fb3b6dd02148ff0937580e61a4510e52a615466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_ba7002d219507656\n-- problem_id: v2p_m1_e976b1018250a839\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Survey_Date\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Survey_Date\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_ba7002d219507656\\n-- problem_id: v2p_m1_e976b1018250a839\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Survey_Date\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Survey_Date\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"2024-05-04\", \"support\": 22, \"support_share\": 0.014666666666666666, \"support_rank\": 1}, {\"value_label\": \"2024-02-15\", \"support\": 21, \"support_share\": 0.014, \"support_rank\": 2}, {\"value_label\": \"2024-03-25\", \"support\": 20, \"support_share\": 0.013333333333333334, \"support_rank\": 3}, {\"value_label\": \"2024-02-17\", \"support\": 19, \"support_share\": 0.012666666666666666, \"support_rank\": 4}, {\"value_label\": \"2024-02-19\", \"support\": 18, \"support_share\": 0.012, \"support_rank\": 5}, {\"value_label\": \"2024-02-04\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 6}, {\"value_label\": \"2024-02-12\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 7}, {\"value_label\": \"2024-03-06\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 8}, {\"value_label\": \"2024-03-09\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 9}, {\"value_label\": \"2024-03-17\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 10}, {\"value_label\": \"2024-04-08\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 11}, {\"value_label\": \"2024-04-09\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 12}, {\"value_label\": \"2024-04-13\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 13}, {\"value_label\": \"2024-04-30\", \"support\": 17, \"support_share\": 0.011333333333333334, \"support_rank\": 14}, {\"value_label\": \"2024-02-11\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 15}, {\"value_label\": \"2024-03-14\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 16}, {\"value_label\": \"2024-03-24\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 17}, {\"value_label\": \"2024-04-20\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 18}, {\"value_label\": \"2024-04-21\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 19}, {\"value_label\": \"2024-05-06\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 20}, {\"value_label\": \"2024-05-15\", \"support\": 16, \"support_share\": 0.010666666666666666, \"support_rank\": 21}, {\"value_label\": \"2024-01-18\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 22}, {\"value_label\": \"2024-01-23\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 23}, {\"value_label\": \"2024-01-28\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 24}, {\"value_label\": \"2024-01-29\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 25}, {\"value_label\": \"2024-02-03\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 26}, {\"value_label\": \"2024-02-14\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 27}, {\"value_label\": \"2024-02-18\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 28}, {\"value_label\": \"2024-03-11\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 29}, {\"value_label\": \"2024-03-13\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 30}, {\"value_label\": \"2024-03-15\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 31}, {\"value_label\": \"2024-03-23\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 32}, {\"value_label\": \"2024-04-27\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 33}, {\"value_label\": \"2024-05-12\", \"support\": 15, \"support_share\": 0.01, \"support_rank\": 34}, {\"value_label\": \"2024-01-24\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 35}, {\"value_label\": \"2024-01-25\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 36}, {\"value_label\": \"2024-02-08\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 37}, {\"value_label\": \"2024-03-03\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 38}, {\"value_label\": \"2024-03-07\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 39}, {\"value_label\": \"2024-03-10\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 40}, {\"value_label\": \"2024-03-31\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 41}, {\"value_label\": \"2024-04-01\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 42}, {\"value_label\": \"2024-04-18\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 43}, {\"value_label\": \"2024-05-14\", \"support\": 14, \"support_share\": 0.009333333333333334, \"support_rank\": 44}, {\"value_label\": \"2024-01-20\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 45}, {\"value_label\": \"2024-01-21\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 46}, {\"value_label\": \"2024-01-26\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 47}, {\"value_label\": \"2024-01-31\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 48}, {\"value_label\": \"2024-02-13\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 49}, {\"value_label\": \"2024-02-20\", \"support\": 13, \"support_share\": 0.008666666666666666, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce001345bff6ea4d345fb6a2635626af3fad9a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.300847+00:00", + "ended_at": "2026-05-19T16:11:34.302759+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_ba7002d219507656", + "problem_id": "v2p_m1_e976b1018250a839", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Survey_Date.", + "bindings": { + "group_col": "Survey_Date" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ba7002d219507656.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_a/m1/artifacts/v2q_m1_ba7002d219507656/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ba7002d219507656/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_a/m1/artifacts/v2q_m1_bac2152358fff1e1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bac2152358fff1e1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d81a9bd2e103a1c27fe57a23f986b3f9137095fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bac2152358fff1e1/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:04:41.321132+00:00", + "ended_at": "2026-05-19T16:04:54.274765+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_bac2152358fff1e1", + "problem_id": "v2p_m1_d93aa517020c498a", + "dataset_id": "m1", + "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=Response_Quality, condition_col=Manager_Support_Level.", + "bindings": { + "group_col": "Response_Quality", + "condition_col": "Manager_Support_Level", + "condition_value": "High", + "positive_value": "Moderate", + "negative_value": "High", + "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": 46.0, + "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", + "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_a/m1/artifacts/v2q_m1_bac2152358fff1e1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bac2152358fff1e1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a430c882c1192f6e25ad038833bbbe27123004ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bac2152358fff1e1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:47.078970+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": 5755.27, "started_at": "2026-05-19T16:04:41.322947+00:00", "ended_at": "2026-05-19T16:04:47.078248+00:00", "prompt_metrics": {"chars": 16616, "bytes_utf8": 16616, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-73fe-7242-a7d1-b30fa85a78b2\"}\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": "2026-05-19T16:04:54.274673+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": 6193.66, "started_at": "2026-05-19T16:04:48.080190+00:00", "ended_at": "2026-05-19T16:04:54.273883+00:00", "prompt_metrics": {"chars": 16616, "bytes_utf8": 16616, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-8e46-7033-a835-facb2b88009e\"}\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_a/m1/artifacts/v2q_m1_bbde35724f878391/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4aabd4e91b739b467ffbb3584782f6b03cf7b770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/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=Industry, measure_col=Efficiency_Rating. +Result preview: [{"Industry": "Technology", "total_measure": 42790.8}, {"Industry": "Finance", "total_measure": 20231.0}, {"Industry": "Healthcare", "total_measure": 16838.3}, {"Industry": "Education", "total_measure": 12953.8}, {"Industry": "Retail", "total_measure": 9736.6}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..323f282b8da17b0ebf145a058b2d86100ea4984e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bbde35724f878391 +-- problem_id: v2p_m1_92333ae77b9cc6cf +-- realization_mode: agent +-- source_kind: agent +SELECT "Industry", SUM(CAST("Efficiency_Rating" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Industry" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d34bb81703933e39634bb12525bb797eb3a9c032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/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 \"Industry\", SUM(CAST(\"Efficiency_Rating\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Industry\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Industry\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Industry\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Industry\", \"total_measure\"], \"rows\": [{\"Industry\": \"Technology\", \"total_measure\": 42790.8}, {\"Industry\": \"Finance\", \"total_measure\": 20231.0}, {\"Industry\": \"Healthcare\", \"total_measure\": 16838.3}, {\"Industry\": \"Education\", \"total_measure\": 12953.8}, {\"Industry\": \"Retail\", \"total_measure\": 9736.6}, {\"Industry\": \"Manufacturing\", \"total_measure\": 8398.0}, {\"Industry\": \"Consulting\", \"total_measure\": 8009.4}, {\"Industry\": \"Government\", \"total_measure\": 6621.7}, {\"Industry\": \"Media\", \"total_measure\": 6583.5}, {\"Industry\": \"Non-profit\", \"total_measure\": 3569.7}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9af75be142f9393d94ec0902ff5540f3f3d14d91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:31:50.494755+00:00", + "ended_at": "2026-05-19T15:32:02.435360+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_bbde35724f878391", + "problem_id": "v2p_m1_92333ae77b9cc6cf", + "dataset_id": "m1", + "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=Industry, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Industry", + "measure_col": "Efficiency_Rating", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 95.0, + "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=9", + "sql_variant_index=2/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bbde35724f878391.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_bbde35724f878391", + "api_calls": 0, + "input_tokens": 16681, + "cached_input_tokens": 12032, + "output_tokens": 245, + "total_tokens": 16926, + "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": 11933.85, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/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_a/m1/artifacts/v2q_m1_bbde35724f878391/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6bce81007bb342c450a4adb20b4e1674889dd73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:02.432560+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": 11933.85, "started_at": "2026-05-19T15:31:50.497855+00:00", "ended_at": "2026-05-19T15:32:02.431740+00:00", "prompt_metrics": {"chars": 16337, "bytes_utf8": 16337, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16681, "cached_input_tokens": 12032, "output_tokens": 245, "reasoning_output_tokens": 141}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Industry\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Industry\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"Industry\\\" and measure_col=\\\"Efficiency_Rating\\\". Cast \\\"Efficiency_Rating\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5dbcb94dece0be9fdd34ed79a6203de4fc159863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_bbde35724f878391", + "api_calls": 0, + "input_tokens": 16681, + "cached_input_tokens": 12032, + "output_tokens": 245, + "total_tokens": 16926, + "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": 11933.85, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bbde35724f878391/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_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecd664cdd66db1649e25965695bfb4eddf01ca7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Daily", "support": 510, "support_share": 0.34, "cumulative_support": 510}, {"value_label": "Few times per week", "support": 445, "support_share": 0.2966666666666667, "cumulative_support": 955}, {"value_label": "Weekly", "support": 340, "support_share": 0.22666666666666666, "cumulative_support": 1295}, {"value_label": "Bi-weekly", "support": 131, "support_share": 0.08733333333333333, "cumulative_support": 1426}, {"value_label": "Monthly", "support": 74, "support_share": 0.04933333333333333, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..71ca9a87f589348eaf36b7cc6d5b1f907198e726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bc9cc9b298fd5a4b +-- problem_id: v2p_m1_35aebcdea7056c16 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Team_Collaboration_Frequency" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Team_Collaboration_Frequency" +), 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_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d038a56bd9802d25909ea8af4f1cb67cca1194c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/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_a\n-- sql_source_dataset_id: m1\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_m1_bc9cc9b298fd5a4b\n-- problem_id: v2p_m1_35aebcdea7056c16\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Team_Collaboration_Frequency\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Team_Collaboration_Frequency\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_bc9cc9b298fd5a4b\\n-- problem_id: v2p_m1_35aebcdea7056c16\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Team_Collaboration_Frequency\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Team_Collaboration_Frequency\\\"\\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\": \"Daily\", \"support\": 510, \"support_share\": 0.34, \"cumulative_support\": 510}, {\"value_label\": \"Few times per week\", \"support\": 445, \"support_share\": 0.2966666666666667, \"cumulative_support\": 955}, {\"value_label\": \"Weekly\", \"support\": 340, \"support_share\": 0.22666666666666666, \"cumulative_support\": 1295}, {\"value_label\": \"Bi-weekly\", \"support\": 131, \"support_share\": 0.08733333333333333, \"cumulative_support\": 1426}, {\"value_label\": \"Monthly\", \"support\": 74, \"support_share\": 0.04933333333333333, \"cumulative_support\": 1500}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0c3c96f70b18ecc8fb27993f16d89c684ecb7f5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.272112+00:00", + "ended_at": "2026-05-19T16:11:34.273809+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_bc9cc9b298fd5a4b", + "problem_id": "v2p_m1_35aebcdea7056c16", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Team_Collaboration_Frequency" + }, + "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=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bc9cc9b298fd5a4b.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_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bc9cc9b298fd5a4b/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_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e25a2d92def6f5b162f0b738dc38c993358fc972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Good", "support": 595, "support_share": 0.39666666666666667, "cumulative_support": 595}, {"value_label": "Average", "support": 452, "support_share": 0.30133333333333334, "cumulative_support": 1047}, {"value_label": "Excellent", "support": 340, "support_share": 0.22666666666666666, "cumulative_support": 1387}, {"value_label": "Poor", "support": 113, "support_share": 0.07533333333333334, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..df53691b5203c225c30c6fedae5596bdab6e4370 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bd42c60ca7fd5968 +-- problem_id: v2p_m1_78b365f84b4bc6e2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Home_Office_Quality" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Home_Office_Quality" +), 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_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..225413c7317aa6c875011528c0407fb3da0e71a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/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_a\n-- sql_source_dataset_id: m1\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_m1_bd42c60ca7fd5968\n-- problem_id: v2p_m1_78b365f84b4bc6e2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Home_Office_Quality\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Home_Office_Quality\"\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_a\\n-- sql_source_dataset_id: m1\\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_m1_bd42c60ca7fd5968\\n-- problem_id: v2p_m1_78b365f84b4bc6e2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Home_Office_Quality\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Home_Office_Quality\\\"\\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\": \"Good\", \"support\": 595, \"support_share\": 0.39666666666666667, \"cumulative_support\": 595}, {\"value_label\": \"Average\", \"support\": 452, \"support_share\": 0.30133333333333334, \"cumulative_support\": 1047}, {\"value_label\": \"Excellent\", \"support\": 340, \"support_share\": 0.22666666666666666, \"cumulative_support\": 1387}, {\"value_label\": \"Poor\", \"support\": 113, \"support_share\": 0.07533333333333334, \"cumulative_support\": 1500}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d758e30acf79572a0d43717c836c7b62ea12aa7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.268082+00:00", + "ended_at": "2026-05-19T16:11:34.269632+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_bd42c60ca7fd5968", + "problem_id": "v2p_m1_78b365f84b4bc6e2", + "dataset_id": "m1", + "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=Home_Office_Quality.", + "bindings": { + "group_col": "Home_Office_Quality" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bd42c60ca7fd5968.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_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd42c60ca7fd5968/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_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b0be0d695913856a093c88509ccff145860fa3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/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=Has_Children, measure_col=Work_Hours_Per_Week. +Result preview: [{"Has_Children": "No", "total_measure": 34297.0}, {"Has_Children": "Yes", "total_measure": 28304.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..16b147c53751c6b31cd065ad9ab31239bf45bf4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_bd80cb4008dd9070 +-- problem_id: v2p_m1_0008b52733c2a7d7 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Has_Children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52de036f3edc884a155bf85f7d42d7be486b4cdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/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 \"Has_Children\", SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Has_Children\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Has_Children\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Has_Children\", \"total_measure\"], \"rows\": [{\"Has_Children\": \"No\", \"total_measure\": 34297.0}, {\"Has_Children\": \"Yes\", \"total_measure\": 28304.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f9ef4f3c1e00beccad7979938c8708f02e5e350a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:29:27.370856+00:00", + "ended_at": "2026-05-19T15:29:41.983282+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_bd80cb4008dd9070", + "problem_id": "v2p_m1_0008b52733c2a7d7", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Has_Children, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Work_Hours_Per_Week", + "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": 45.0, + "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=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_a/m1/sql/v2q_m1_bd80cb4008dd9070.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_bd80cb4008dd9070", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 410, + "total_tokens": 17101, + "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": 14605.36, + "sql_execution_elapsed_ms_total": 1.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/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_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..946b0b401c7ff4e7236a0c0c090fa01e8d900d66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:41.978841+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": 14605.36, "started_at": "2026-05-19T15:29:27.372013+00:00", "ended_at": "2026-05-19T15:29:41.977405+00:00", "prompt_metrics": {"chars": 16350, "bytes_utf8": 16350, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 404, "bytes_utf8": 404, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16691, "cached_input_tokens": 12032, "output_tokens": 410, "reasoning_output_tokens": 301}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Has_Children\\\", SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Has_Children\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"Has_Children\\\" and measure_col=\\\"Work_Hours_Per_Week\\\". CAST to REAL is included because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4f2e65090bbdb47a09309f294c8c976827a4c761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_bd80cb4008dd9070", + "api_calls": 0, + "input_tokens": 16691, + "cached_input_tokens": 12032, + "output_tokens": 410, + "total_tokens": 17101, + "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": 14605.36, + "sql_execution_elapsed_ms_total": 1.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_bd80cb4008dd9070/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_a/m1/artifacts/v2q_m1_c090316307136898/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..652c19994c3760fa9a23d2c2dc90fa68be3fa052 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/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=Department, measure_col=Quality_Score. +Result preview: [{"Department": "Sales", "percentile_measure": 100.0}, {"Department": "Operations", "percentile_measure": 100.0}, {"Department": "Marketing", "percentile_measure": 100.0}, {"Department": "HR", "percentile_measure": 100.0}, {"Department": "Finance", "percentile_measure": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7ba37a3dc90d091bbde5ce0a31798cae0cd7194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/generated_sql.sql @@ -0,0 +1,49 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c090316307136898 +-- problem_id: v2p_m1_b79886dcf9365d10 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Department", + CAST("Quality_Score" AS REAL) AS "quality_score", + ROW_NUMBER() OVER ( + PARTITION BY "Department" + ORDER BY CAST("Quality_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Department" + ) AS "cnt" + FROM "m1" + WHERE "Department" IS NOT NULL + AND "Quality_Score" IS NOT NULL +), +"cutoffs" AS ( + SELECT + "Department", + "quality_score", + "rn", + "cnt", + CAST((0.95 * "cnt") AS INTEGER) + + CASE + WHEN (0.95 * "cnt") > CAST((0.95 * "cnt") AS INTEGER) THEN 1 + ELSE 0 + END AS "target_rn" + FROM "ranked" + WHERE "cnt" >= 5 +) +SELECT + "Department", + MIN("quality_score") AS "percentile_measure" +FROM "cutoffs" +WHERE "rn" >= "target_rn" +GROUP BY "Department" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea29c73c47dddf371c21e300cd49c30b0c2a1352 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/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 \"Department\",\n CAST(\"Quality_Score\" AS REAL) AS \"quality_score\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Department\"\n ORDER BY CAST(\"Quality_Score\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Department\"\n ) AS \"cnt\"\n FROM \"m1\"\n WHERE \"Department\" IS NOT NULL\n AND \"Quality_Score\" IS NOT NULL\n),\n\"cutoffs\" AS (\n SELECT\n \"Department\",\n \"quality_score\",\n \"rn\",\n \"cnt\",\n CAST((0.95 * \"cnt\") AS INTEGER)\n + CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN 1\n ELSE 0\n END AS \"target_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"Department\",\n MIN(\"quality_score\") AS \"percentile_measure\"\nFROM \"cutoffs\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"Department\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n CAST(\\\"Quality_Score\\\" AS REAL) AS \\\"quality_score\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Department\\\"\\n ORDER BY CAST(\\\"Quality_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Department\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Department\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n),\\n\\\"cutoffs\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"quality_score\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\n + CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"Department\\\",\\n MIN(\\\"quality_score\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"cutoffs\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Department\", \"percentile_measure\"], \"rows\": [{\"Department\": \"Sales\", \"percentile_measure\": 100.0}, {\"Department\": \"Operations\", \"percentile_measure\": 100.0}, {\"Department\": \"Marketing\", \"percentile_measure\": 100.0}, {\"Department\": \"HR\", \"percentile_measure\": 100.0}, {\"Department\": \"Finance\", \"percentile_measure\": 100.0}, {\"Department\": \"Engineering\", \"percentile_measure\": 100.0}, {\"Department\": \"Design\", \"percentile_measure\": 100.0}, {\"Department\": \"Data Science\", \"percentile_measure\": 100.0}, {\"Department\": \"Customer Success\", \"percentile_measure\": 100.0}, {\"Department\": \"Product\", \"percentile_measure\": 99.9}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..047047b35d4822a0afcacbd3fd5b1b1d16115e11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:57:54.146742+00:00", + "ended_at": "2026-05-19T15:58:28.319242+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c090316307136898", + "problem_id": "v2p_m1_b79886dcf9365d10", + "dataset_id": "m1", + "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=Department, measure_col=Quality_Score.", + "bindings": { + "group_col": "Department", + "measure_col": "Quality_Score", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 96.225, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c090316307136898.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c090316307136898", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 2121, + "total_tokens": 18840, + "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": 34162.79, + "sql_execution_elapsed_ms_total": 4.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/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_a/m1/artifacts/v2q_m1_c090316307136898/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8823f7cca4909baaa5f46b39b0309a8d93183221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:28.313549+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": 34162.79, "started_at": "2026-05-19T15:57:54.149865+00:00", "ended_at": "2026-05-19T15:58:28.312690+00:00", "prompt_metrics": {"chars": 16513, "bytes_utf8": 16513, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1241, "bytes_utf8": 1241, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 15744, "output_tokens": 2121, "reasoning_output_tokens": 1765}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n CAST(\\\"Quality_Score\\\" AS REAL) AS \\\"quality_score\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Department\\\"\\n ORDER BY CAST(\\\"Quality_Score\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Department\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Department\\\" IS NOT NULL\\n AND \\\"Quality_Score\\\" IS NOT NULL\\n),\\n\\\"cutoffs\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n \\\"quality_score\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\n + CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"Department\\\",\\n MIN(\\\"quality_score\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"cutoffs\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not su"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2332ec980e2f3c9f4eafac14853ff6829d52686 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c090316307136898", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 15744, + "output_tokens": 2121, + "total_tokens": 18840, + "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": 34162.79, + "sql_execution_elapsed_ms_total": 4.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c090316307136898/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_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..64ed926da1874925ec1450c9626c4b58cd93e00b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/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=Team_Collaboration_Frequency, measure_col=Commute_Time_Minutes. +Result preview: [{"Team_Collaboration_Frequency": "Daily", "group_value": 13287.0}, {"Team_Collaboration_Frequency": "Few times per week", "group_value": 11118.0}, {"Team_Collaboration_Frequency": "Weekly", "group_value": 8879.0}, {"Team_Collaboration_Frequency": "Bi-weekly", "group_value": 3315.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..80395e6f60c4cb59824479652277cebebb9f7103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/generated_sql.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c19b4d1740ce0bf4 +-- problem_id: v2p_m1_7b6f8002c4f53df9 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Team_Collaboration_Frequency", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS "group_value" + FROM "m1" + WHERE "Team_Collaboration_Frequency" IS NOT NULL + AND "Team_Collaboration_Frequency" <> '' + AND "Commute_Time_Minutes" IS NOT NULL + AND "Commute_Time_Minutes" <> '' + GROUP BY "Team_Collaboration_Frequency" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Team_Collaboration_Frequency", + 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_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9de2542587f246af00467926149bee6b755bc24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"Team_Collaboration_Frequency\",\n SUM(CAST(\"Commute_Time_Minutes\" AS REAL)) AS \"group_value\"\n FROM \"m1\"\n WHERE \"Team_Collaboration_Frequency\" IS NOT NULL\n AND \"Team_Collaboration_Frequency\" <> ''\n AND \"Commute_Time_Minutes\" IS NOT NULL\n AND \"Commute_Time_Minutes\" <> ''\n GROUP BY \"Team_Collaboration_Frequency\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"Team_Collaboration_Frequency\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Team_Collaboration_Frequency\\\" IS NOT NULL\\n AND \\\"Team_Collaboration_Frequency\\\" <> ''\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" <> ''\\n GROUP BY \\\"Team_Collaboration_Frequency\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Team_Collaboration_Frequency\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"group_value\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Daily\", \"group_value\": 13287.0}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"group_value\": 11118.0}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"group_value\": 8879.0}, {\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"group_value\": 3315.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b05548a230984a5aa66cfb28fa144ae636ec8952 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:50:38.492378+00:00", + "ended_at": "2026-05-19T15:50:56.884499+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c19b4d1740ce0bf4", + "problem_id": "v2p_m1_7b6f8002c4f53df9", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency, measure_col=Commute_Time_Minutes.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "measure_col": "Commute_Time_Minutes", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.0, + "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=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c19b4d1740ce0bf4.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c19b4d1740ce0bf4", + "api_calls": 0, + "input_tokens": 16833, + "cached_input_tokens": 15744, + "output_tokens": 777, + "total_tokens": 17610, + "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": 18386.96, + "sql_execution_elapsed_ms_total": 1.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/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_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36cb7502fc11327bc125b472c28352955add6f14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:56.881700+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": 18386.96, "started_at": "2026-05-19T15:50:38.493747+00:00", "ended_at": "2026-05-19T15:50:56.880743+00:00", "prompt_metrics": {"chars": 16939, "bytes_utf8": 16939, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 999, "bytes_utf8": 999, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16833, "cached_input_tokens": 15744, "output_tokens": 777, "reasoning_output_tokens": 491}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Team_Collaboration_Frequency\\\",\\n SUM(CAST(\\\"Commute_Time_Minutes\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Team_Collaboration_Frequency\\\" IS NOT NULL\\n AND \\\"Team_Collaboration_Frequency\\\" <> ''\\n AND \\\"Commute_Time_Minutes\\\" IS NOT NULL\\n AND \\\"Commute_Time_Minutes\\\" <> ''\\n GROUP BY \\\"Team_Collaboration_Frequency\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Team_Collaboration_Frequency\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Team_Collaboration_Frequency\\\" and measure_col=\\\"Commute_Time_Minutes\\\". Casts the text-typed measure to REAL and filters null/blank values for a stable grouped sum.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..494ecc79c834afffd289c1121a334c5dd806b7a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c19b4d1740ce0bf4", + "api_calls": 0, + "input_tokens": 16833, + "cached_input_tokens": 15744, + "output_tokens": 777, + "total_tokens": 17610, + "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": 18386.96, + "sql_execution_elapsed_ms_total": 1.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c19b4d1740ce0bf4/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_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5d73319c5a8c5744aec5ba3c1732391e71bd717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/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=Company_Size, measure_col=Innovation_Score. +Result preview: [{"Company_Size": "Large (1001-5000)", "total_measure": 28289.2}, {"Company_Size": "Medium (201-1000)", "total_measure": 27513.2}, {"Company_Size": "Small (51-200)", "total_measure": 25789.5}, {"Company_Size": "Startup (1-50)", "total_measure": 16516.7}, {"Company_Size": "Enterprise (5000+)", "total_measure": 11123.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..396aaad218571e9f2aec7f04816bc8f26fc24ccb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_c24c10c5a88f3e89 +-- problem_id: v2p_m1_efa43cba80a67eac +-- realization_mode: agent +-- source_kind: agent +SELECT "Company_Size", SUM(CAST("Innovation_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Company_Size" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b10d7fc199e94c93f6e69abc9d7971641b5915a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/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 \"Company_Size\", SUM(CAST(\"Innovation_Score\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Company_Size\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Company_Size\\\", SUM(CAST(\\\"Innovation_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Company_Size\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Company_Size\", \"total_measure\"], \"rows\": [{\"Company_Size\": \"Large (1001-5000)\", \"total_measure\": 28289.2}, {\"Company_Size\": \"Medium (201-1000)\", \"total_measure\": 27513.2}, {\"Company_Size\": \"Small (51-200)\", \"total_measure\": 25789.5}, {\"Company_Size\": \"Startup (1-50)\", \"total_measure\": 16516.7}, {\"Company_Size\": \"Enterprise (5000+)\", \"total_measure\": 11123.9}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e96c9060e9357b51deea12376d54aa5aab3cd64e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:30:59.264959+00:00", + "ended_at": "2026-05-19T15:31:19.223427+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c24c10c5a88f3e89", + "problem_id": "v2p_m1_efa43cba80a67eac", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Company_Size, measure_col=Innovation_Score.", + "bindings": { + "group_col": "Company_Size", + "measure_col": "Innovation_Score", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 84.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c24c10c5a88f3e89.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c24c10c5a88f3e89", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 388, + "total_tokens": 17071, + "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": 19953.81, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/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_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62c53f76d1f5b56246c883b8741bea8be654e634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:19.220928+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": 19953.81, "started_at": "2026-05-19T15:30:59.266289+00:00", "ended_at": "2026-05-19T15:31:19.220121+00:00", "prompt_metrics": {"chars": 16341, "bytes_utf8": 16341, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 396, "bytes_utf8": 396, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16683, "cached_input_tokens": 12032, "output_tokens": 388, "reasoning_output_tokens": 284}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Company_Size\\\", SUM(CAST(\\\"Innovation_Score\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Company_Size\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"Company_Size\\\" and measure_col=\\\"Innovation_Score\\\". CAST to REAL is used because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9f9416c1e5d03f775747f6d40d02ea2e7c8d797b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c24c10c5a88f3e89", + "api_calls": 0, + "input_tokens": 16683, + "cached_input_tokens": 12032, + "output_tokens": 388, + "total_tokens": 17071, + "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": 19953.81, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c24c10c5a88f3e89/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_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee50cdfcc4476d0fe54a4517174905e4b8abd058 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/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=Stress_Level. +Result preview: [{"Stress_Level": "6", "row_count": 317}, {"Stress_Level": "5", "row_count": 254}, {"Stress_Level": "7", "row_count": 211}, {"Stress_Level": "4", "row_count": 186}, {"Stress_Level": "8", "row_count": 179}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..67ba9821a6e4e0bf9b7f6f5110b94f2fc1d13af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c29800b3f1b40fad +-- problem_id: v2p_m1_9216d2273a7ee457 +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Stress_Level" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c7fc287ec6d90b97738f77650e09998c9649dc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/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 \"Stress_Level\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nGROUP BY \"Stress_Level\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Stress_Level\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Stress_Level\", \"row_count\"], \"rows\": [{\"Stress_Level\": \"6\", \"row_count\": 317}, {\"Stress_Level\": \"5\", \"row_count\": 254}, {\"Stress_Level\": \"7\", \"row_count\": 211}, {\"Stress_Level\": \"4\", \"row_count\": 186}, {\"Stress_Level\": \"8\", \"row_count\": 179}, {\"Stress_Level\": \"3\", \"row_count\": 114}, {\"Stress_Level\": \"9\", \"row_count\": 86}, {\"Stress_Level\": \"2\", \"row_count\": 82}, {\"Stress_Level\": \"10\", \"row_count\": 38}, {\"Stress_Level\": \"1\", \"row_count\": 33}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..95dff43726bda087550c54e039e92ee2d37eebb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:32:09.793976+00:00", + "ended_at": "2026-05-19T15:32:27.034571+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c29800b3f1b40fad", + "problem_id": "v2p_m1_9216d2273a7ee457", + "dataset_id": "m1", + "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=Stress_Level.", + "bindings": { + "group_col": "Stress_Level", + "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": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c29800b3f1b40fad.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c29800b3f1b40fad", + "api_calls": 0, + "input_tokens": 16654, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 16863, + "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": 17230.75, + "sql_execution_elapsed_ms_total": 2.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/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_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b11f2fdfdf6f6b9efb6be513db07f8d8494b66dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:27.029253+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": 17230.75, "started_at": "2026-05-19T15:32:09.796738+00:00", "ended_at": "2026-05-19T15:32:27.027534+00:00", "prompt_metrics": {"chars": 16234, "bytes_utf8": 16234, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 294, "bytes_utf8": 294, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16654, "cached_input_tokens": 12032, "output_tokens": 209, "reasoning_output_tokens": 128}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Stress_Level\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Stress_Level\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the required grouped-count template with group_col bound to \\\"Stress_Level\\\" on the single table \\\"m1\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e6d182f0af905061e3536128212592d5f334d03b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c29800b3f1b40fad", + "api_calls": 0, + "input_tokens": 16654, + "cached_input_tokens": 12032, + "output_tokens": 209, + "total_tokens": 16863, + "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": 17230.75, + "sql_execution_elapsed_ms_total": 2.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c29800b3f1b40fad/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_a/m1/artifacts/v2q_m1_c34eab143f80759a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..75d2617ad8f65ebde2d8d6cf22d927f1adaa5421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Task_Completion_Rate": "100.0", "support": 234, "avg_response": 5.555555555555555}, {"Task_Completion_Rate": "40.0", "support": 17, "avg_response": 1.2352941176470589}, {"Task_Completion_Rate": "88.1", "support": 8, "avg_response": 6.375}, {"Task_Completion_Rate": "91.9", "support": 8, "avg_response": 6.375}, {"Task_Completion_Rate": "96.5", "support": 8, "avg_response": 5.625}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f71362f5414e9496a666698f5445cbd14c6a76f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_c34eab143f80759a +-- problem_id: v2p_m1_ebf2e5490b074ecb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Task_Completion_Rate", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Task_Completion_Rate" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f996e42f582fecb025eb1b7f0b40333bb97302d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_c34eab143f80759a\n-- problem_id: v2p_m1_ebf2e5490b074ecb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Task_Completion_Rate\",\n COUNT(*) AS support,\n AVG(\"Years_Experience\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Task_Completion_Rate\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_c34eab143f80759a\\n-- problem_id: v2p_m1_ebf2e5490b074ecb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Task_Completion_Rate\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Years_Experience\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Task_Completion_Rate\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Task_Completion_Rate\", \"support\", \"avg_response\"], \"rows\": [{\"Task_Completion_Rate\": \"100.0\", \"support\": 234, \"avg_response\": 5.555555555555555}, {\"Task_Completion_Rate\": \"40.0\", \"support\": 17, \"avg_response\": 1.2352941176470589}, {\"Task_Completion_Rate\": \"88.1\", \"support\": 8, \"avg_response\": 6.375}, {\"Task_Completion_Rate\": \"91.9\", \"support\": 8, \"avg_response\": 6.375}, {\"Task_Completion_Rate\": \"96.5\", \"support\": 8, \"avg_response\": 5.625}, {\"Task_Completion_Rate\": \"98.3\", \"support\": 8, \"avg_response\": 5.0}, {\"Task_Completion_Rate\": \"88.0\", \"support\": 8, \"avg_response\": 3.75}, {\"Task_Completion_Rate\": \"88.2\", \"support\": 7, \"avg_response\": 6.142857142857143}, {\"Task_Completion_Rate\": \"94.3\", \"support\": 7, \"avg_response\": 6.142857142857143}, {\"Task_Completion_Rate\": \"93.4\", \"support\": 7, \"avg_response\": 6.0}, {\"Task_Completion_Rate\": \"89.2\", \"support\": 7, \"avg_response\": 4.857142857142857}, {\"Task_Completion_Rate\": \"91.6\", \"support\": 7, \"avg_response\": 4.857142857142857}, {\"Task_Completion_Rate\": \"72.6\", \"support\": 7, \"avg_response\": 4.714285714285714}, {\"Task_Completion_Rate\": \"81.7\", \"support\": 7, \"avg_response\": 4.142857142857143}, {\"Task_Completion_Rate\": \"99.7\", \"support\": 6, \"avg_response\": 9.333333333333334}, {\"Task_Completion_Rate\": \"99.1\", \"support\": 6, \"avg_response\": 7.666666666666667}, {\"Task_Completion_Rate\": \"94.0\", \"support\": 6, \"avg_response\": 5.166666666666667}, {\"Task_Completion_Rate\": \"85.9\", \"support\": 6, \"avg_response\": 4.666666666666667}, {\"Task_Completion_Rate\": \"79.3\", \"support\": 6, \"avg_response\": 4.5}, {\"Task_Completion_Rate\": \"84.9\", \"support\": 6, \"avg_response\": 4.333333333333333}, {\"Task_Completion_Rate\": \"93.0\", \"support\": 6, \"avg_response\": 3.8333333333333335}, {\"Task_Completion_Rate\": \"88.3\", \"support\": 6, \"avg_response\": 3.3333333333333335}, {\"Task_Completion_Rate\": \"89.1\", \"support\": 6, \"avg_response\": 3.3333333333333335}, {\"Task_Completion_Rate\": \"91.4\", \"support\": 6, \"avg_response\": 3.1666666666666665}, {\"Task_Completion_Rate\": \"90.8\", \"support\": 6, \"avg_response\": 2.8333333333333335}, {\"Task_Completion_Rate\": \"91.3\", \"support\": 6, \"avg_response\": 2.3333333333333335}, {\"Task_Completion_Rate\": \"83.3\", \"support\": 6, \"avg_response\": 0.6666666666666666}, {\"Task_Completion_Rate\": \"80.3\", \"support\": 5, \"avg_response\": 8.8}, {\"Task_Completion_Rate\": \"80.9\", \"support\": 5, \"avg_response\": 8.4}, {\"Task_Completion_Rate\": \"86.9\", \"support\": 5, \"avg_response\": 8.2}, {\"Task_Completion_Rate\": \"63.6\", \"support\": 5, \"avg_response\": 6.6}, {\"Task_Completion_Rate\": \"90.0\", \"support\": 5, \"avg_response\": 6.4}, {\"Task_Completion_Rate\": \"96.7\", \"support\": 5, \"avg_response\": 6.2}, {\"Task_Completion_Rate\": \"97.4\", \"support\": 5, \"avg_response\": 6.0}, {\"Task_Completion_Rate\": \"97.9\", \"support\": 5, \"avg_response\": 5.6}, {\"Task_Completion_Rate\": \"87.9\", \"support\": 5, \"avg_response\": 5.2}, {\"Task_Completion_Rate\": \"75.7\", \"support\": 5, \"avg_response\": 5.0}, {\"Task_Completion_Rate\": \"92.2\", \"support\": 5, \"avg_response\": 5.0}, {\"Task_Completion_Rate\": \"91.2\", \"support\": 5, \"avg_response\": 4.0}, {\"Task_Completion_Rate\": \"83.1\", \"support\": 5, \"avg_response\": 3.6}, {\"Task_Completion_Rate\": \"88.7\", \"support\": 5, \"avg_response\": 3.6}, {\"Task_Completion_Rate\": \"91.8\", \"support\": 5, \"avg_response\": 3.6}, {\"Task_Completion_Rate\": \"92.0\", \"support\": 5, \"avg_response\": 3.6}, {\"Task_Completion_Rate\": \"84.0\", \"support\": 5, \"avg_response\": 3.4}, {\"Task_Completion_Rate\": \"88.9\", \"support\": 5, \"avg_response\": 3.4}, {\"Task_Completion_Rate\": \"92.4\", \"support\": 5, \"avg_response\": 3.4}, {\"Task_Completion_Rate\": \"95.3\", \"support\": 5, \"avg_response\": 3.4}, {\"Task_Completion_Rate\": \"68.9\", \"support\": 5, \"avg_response\": 3.2}, {\"Task_Completion_Rate\": \"76.8\", \"support\": 5, \"avg_response\": 3.2}, {\"Task_Completion_Rate\": \"89.8\", \"support\": 5, \"avg_response\": 3.2}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4ba09e8651d4282976496c074891d363cb46f1fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.314511+00:00", + "ended_at": "2026-05-19T16:11:34.316862+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c34eab143f80759a", + "problem_id": "v2p_m1_ebf2e5490b074ecb", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Years_Experience, key_col=Task_Completion_Rate.", + "bindings": { + "key_col": "Task_Completion_Rate", + "measure_col": "Years_Experience", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c34eab143f80759a.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_a/m1/artifacts/v2q_m1_c34eab143f80759a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c34eab143f80759a/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_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..55968b1f79b6da4f47930e1576bc33f1684bc395 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/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=Stress_Level, measure_col=WFH_Days_Per_Week. +Result preview: [{"Stress_Level": "1", "Innovation_Score": "95.0", "total_measure": 13.0, "share_within_group": 16.049382716049383}, {"Stress_Level": "9", "Innovation_Score": "95.0", "total_measure": 27.0, "share_within_group": 11.894273127753303}, {"Stress_Level": "8", "Innovation_Score": "95.0", "total_measure": 43.0, "share_within_group": 8.464566929133857}, {"Stress_Level": "2", "Innovation_Score": "95.0", "total_measure": 19.0, "share_within_group": 8.11965811965812}, {"Stress_Level": "7", "Innovation_Score": "95.0", "total_measure": 48.0, "share_within_group": 8.108108108108109}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8f901d30298d167850f739787fcb26f4f752693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c38ddb99037a01c0 +-- problem_id: v2p_m1_c57fabae5f022d21 +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", "Innovation_Score", + SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS total_measure, + SUM(CAST("WFH_Days_Per_Week" AS REAL)) * 100.0 / SUM(SUM(CAST("WFH_Days_Per_Week" AS REAL))) OVER (PARTITION BY "Stress_Level") AS share_within_group +FROM "m1" +WHERE "Stress_Level" IS NOT NULL + AND "Innovation_Score" IS NOT NULL + AND "WFH_Days_Per_Week" IS NOT NULL + AND TRIM("Stress_Level") <> '' + AND TRIM("Innovation_Score") <> '' + AND TRIM("WFH_Days_Per_Week") <> '' +GROUP BY "Stress_Level", "Innovation_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..462a5c3e91dff26e11b66509a39df2f44bdaacbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/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 \"Stress_Level\", \"Innovation_Score\",\n SUM(CAST(\"WFH_Days_Per_Week\" AS REAL)) AS total_measure,\n SUM(CAST(\"WFH_Days_Per_Week\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"WFH_Days_Per_Week\" AS REAL))) OVER (PARTITION BY \"Stress_Level\") AS share_within_group\nFROM \"m1\"\nWHERE \"Stress_Level\" IS NOT NULL\n AND \"Innovation_Score\" IS NOT NULL\n AND \"WFH_Days_Per_Week\" IS NOT NULL\n AND TRIM(\"Stress_Level\") <> ''\n AND TRIM(\"Innovation_Score\") <> ''\n AND TRIM(\"WFH_Days_Per_Week\") <> ''\nGROUP BY \"Stress_Level\", \"Innovation_Score\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Stress_Level\\\", \\\"Innovation_Score\\\",\\n SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL))) OVER (PARTITION BY \\\"Stress_Level\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Stress_Level\\\" IS NOT NULL\\n AND \\\"Innovation_Score\\\" IS NOT NULL\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Stress_Level\\\") <> ''\\n AND TRIM(\\\"Innovation_Score\\\") <> ''\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\nGROUP BY \\\"Stress_Level\\\", \\\"Innovation_Score\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Stress_Level\", \"Innovation_Score\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Stress_Level\": \"1\", \"Innovation_Score\": \"95.0\", \"total_measure\": 13.0, \"share_within_group\": 16.049382716049383}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"95.0\", \"total_measure\": 27.0, \"share_within_group\": 11.894273127753303}, {\"Stress_Level\": \"8\", \"Innovation_Score\": \"95.0\", \"total_measure\": 43.0, \"share_within_group\": 8.464566929133857}, {\"Stress_Level\": \"2\", \"Innovation_Score\": \"95.0\", \"total_measure\": 19.0, \"share_within_group\": 8.11965811965812}, {\"Stress_Level\": \"7\", \"Innovation_Score\": \"95.0\", \"total_measure\": 48.0, \"share_within_group\": 8.108108108108109}, {\"Stress_Level\": \"6\", \"Innovation_Score\": \"95.0\", \"total_measure\": 67.0, \"share_within_group\": 7.519640852974186}, {\"Stress_Level\": \"4\", \"Innovation_Score\": \"95.0\", \"total_measure\": 44.0, \"share_within_group\": 7.508532423208191}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"59.5\", \"total_measure\": 5.0, \"share_within_group\": 6.172839506172839}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"48.3\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"54.9\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"57.6\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"65.0\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.3\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.6\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"80.9\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"85.1\", \"total_measure\": 4.0, \"share_within_group\": 4.938271604938271}, {\"Stress_Level\": \"5\", \"Innovation_Score\": \"95.0\", \"total_measure\": 35.0, \"share_within_group\": 4.827586206896552}, {\"Stress_Level\": \"3\", \"Innovation_Score\": \"95.0\", \"total_measure\": 15.0, \"share_within_group\": 4.587155963302752}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"68.7\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.2\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.8\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"88.4\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"92.2\", \"total_measure\": 5.0, \"share_within_group\": 4.3478260869565215}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"30.8\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"69.2\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"71.4\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"1\", \"Innovation_Score\": \"75.1\", \"total_measure\": 3.0, \"share_within_group\": 3.7037037037037037}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"90.4\", \"total_measure\": 8.0, \"share_within_group\": 3.5242290748898677}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"33.5\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"43.0\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"52.1\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"53.2\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"58.4\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"59.7\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"63.8\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"74.6\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"75.5\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.3\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"93.9\", \"total_measure\": 4.0, \"share_within_group\": 3.4782608695652173}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"30.0\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"74.0\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"81.5\", \"total_measure\": 7.0, \"share_within_group\": 3.0837004405286343}, {\"Stress_Level\": \"2\", \"Innovation_Score\": \"86.3\", \"total_measure\": 7.0, \"share_within_group\": 2.9914529914529915}, {\"Stress_Level\": \"3\", \"Innovation_Score\": \"83.1\", \"total_measure\": 9.0, \"share_within_group\": 2.7522935779816513}, {\"Stress_Level\": \"9\", \"Innovation_Score\": \"72.9\", \"total_measure\": 6.0, \"share_within_group\": 2.643171806167401}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"58.5\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"71.0\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.1\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"72.4\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}, {\"Stress_Level\": \"10\", \"Innovation_Score\": \"77.5\", \"total_measure\": 3.0, \"share_within_group\": 2.608695652173913}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dc75674a0a4f4851656b368dd7ba46ca280be6af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:36:55.981665+00:00", + "ended_at": "2026-05-19T15:37:18.995715+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c38ddb99037a01c0", + "problem_id": "v2p_m1_c57fabae5f022d21", + "dataset_id": "m1", + "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=Stress_Level, measure_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "WFH_Days_Per_Week", + "item_col": "Innovation_Score", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "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=7", + "sql_variant_index=1/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_c38ddb99037a01c0.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c38ddb99037a01c0", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 15744, + "output_tokens": 1256, + "total_tokens": 18067, + "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": 23003.68, + "sql_execution_elapsed_ms_total": 4.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/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_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2367bd569da4f74d9101b459a5d44c021261a6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:18.989409+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": 23003.68, "started_at": "2026-05-19T15:36:55.984831+00:00", "ended_at": "2026-05-19T15:37:18.988548+00:00", "prompt_metrics": {"chars": 16761, "bytes_utf8": 16761, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 849, "bytes_utf8": 849, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16811, "cached_input_tokens": 15744, "output_tokens": 1256, "reasoning_output_tokens": 1003}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Stress_Level\\\", \\\"Innovation_Score\\\",\\n SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"WFH_Days_Per_Week\\\" AS REAL))) OVER (PARTITION BY \\\"Stress_Level\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nWHERE \\\"Stress_Level\\\" IS NOT NULL\\n AND \\\"Innovation_Score\\\" IS NOT NULL\\n AND \\\"WFH_Days_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Stress_Level\\\") <> ''\\n AND TRIM(\\\"Innovation_Score\\\") <> ''\\n AND TRIM(\\\"WFH_Days_Per_Week\\\") <> ''\\nGROUP BY \\\"Stress_Level\\\", \\\"Innovation_Score\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with the provided bindings. \\\"WFH_Days_Per_Week\\\" is CAST to REAL because the schema stores numeric-like fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..517bf046987bd7f817bd279c4ffa5c5169e14b3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c38ddb99037a01c0", + "api_calls": 0, + "input_tokens": 16811, + "cached_input_tokens": 15744, + "output_tokens": 1256, + "total_tokens": 18067, + "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": 23003.68, + "sql_execution_elapsed_ms_total": 4.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c38ddb99037a01c0/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_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..617a9d88ef01f58417c0fdb03451cfbe269d144e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:09:18.671796+00:00", + "ended_at": "2026-05-19T16:09:26.084621+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c3b5b83f2de3db92", + "problem_id": "v2p_m1_1eb030a124c71fbc", + "dataset_id": "m1", + "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=Work_Life_Balance, measure_col=Innovation_Score.", + "bindings": { + "group_col": "Work_Life_Balance", + "measure_col": "Innovation_Score", + "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": 84.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT 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=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70a4613ef840d5537e3ef94fa6c74eecb5c8a9fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3b5b83f2de3db92/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:22.319535+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": 3643.48, "started_at": "2026-05-19T16:09:18.673343+00:00", "ended_at": "2026-05-19T16:09:22.316847+00:00", "prompt_metrics": {"chars": 16433, "bytes_utf8": 16433, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-af59-79e1-a1b0-8b97bd71c71d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:26.084534+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": 2762.44, "started_at": "2026-05-19T16:09:23.321312+00:00", "ended_at": "2026-05-19T16:09:26.083792+00:00", "prompt_metrics": {"chars": 16433, "bytes_utf8": 16433, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-c18d-7ca2-bbeb-c41c90ebad5f\"}\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_a/m1/artifacts/v2q_m1_c3ea5ca228679609/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f5b1e80179e55d77a0ebf27b58f3f14bc5c491e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Innovation_Score": "95.0", "support": 101, "avg_response": 7.4950495049504955}, {"Innovation_Score": "83.6", "support": 11, "avg_response": 4.7272727272727275}, {"Innovation_Score": "83.1", "support": 11, "avg_response": 3.909090909090909}, {"Innovation_Score": "79.2", "support": 10, "avg_response": 6.5}, {"Innovation_Score": "77.5", "support": 9, "avg_response": 6.444444444444445}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a5a66c209837938dcf062c21164dc885c863a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_c3ea5ca228679609 +-- problem_id: v2p_m1_3759386e84b603fa +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Innovation_Score", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Innovation_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b5a4094288da9b630a495ee7a4241bcae181408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_c3ea5ca228679609\n-- problem_id: v2p_m1_3759386e84b603fa\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Innovation_Score\",\n COUNT(*) AS support,\n AVG(\"Years_Experience\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Innovation_Score\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_c3ea5ca228679609\\n-- problem_id: v2p_m1_3759386e84b603fa\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Innovation_Score\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Years_Experience\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Innovation_Score\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Innovation_Score\", \"support\", \"avg_response\"], \"rows\": [{\"Innovation_Score\": \"95.0\", \"support\": 101, \"avg_response\": 7.4950495049504955}, {\"Innovation_Score\": \"83.6\", \"support\": 11, \"avg_response\": 4.7272727272727275}, {\"Innovation_Score\": \"83.1\", \"support\": 11, \"avg_response\": 3.909090909090909}, {\"Innovation_Score\": \"79.2\", \"support\": 10, \"avg_response\": 6.5}, {\"Innovation_Score\": \"77.5\", \"support\": 9, \"avg_response\": 6.444444444444445}, {\"Innovation_Score\": \"68.0\", \"support\": 9, \"avg_response\": 5.888888888888889}, {\"Innovation_Score\": \"62.6\", \"support\": 9, \"avg_response\": 3.2222222222222223}, {\"Innovation_Score\": \"73.8\", \"support\": 8, \"avg_response\": 6.0}, {\"Innovation_Score\": \"74.0\", \"support\": 8, \"avg_response\": 4.25}, {\"Innovation_Score\": \"81.0\", \"support\": 8, \"avg_response\": 3.75}, {\"Innovation_Score\": \"72.6\", \"support\": 7, \"avg_response\": 8.428571428571429}, {\"Innovation_Score\": \"81.2\", \"support\": 7, \"avg_response\": 6.714285714285714}, {\"Innovation_Score\": \"75.8\", \"support\": 7, \"avg_response\": 5.142857142857143}, {\"Innovation_Score\": \"77.3\", \"support\": 7, \"avg_response\": 5.0}, {\"Innovation_Score\": \"84.2\", \"support\": 7, \"avg_response\": 4.571428571428571}, {\"Innovation_Score\": \"76.4\", \"support\": 7, \"avg_response\": 4.428571428571429}, {\"Innovation_Score\": \"80.4\", \"support\": 7, \"avg_response\": 4.428571428571429}, {\"Innovation_Score\": \"67.9\", \"support\": 7, \"avg_response\": 3.142857142857143}, {\"Innovation_Score\": \"76.8\", \"support\": 7, \"avg_response\": 3.142857142857143}, {\"Innovation_Score\": \"78.3\", \"support\": 7, \"avg_response\": 2.7142857142857144}, {\"Innovation_Score\": \"73.4\", \"support\": 7, \"avg_response\": 2.4285714285714284}, {\"Innovation_Score\": \"78.5\", \"support\": 7, \"avg_response\": 2.2857142857142856}, {\"Innovation_Score\": \"73.3\", \"support\": 7, \"avg_response\": 2.142857142857143}, {\"Innovation_Score\": \"71.2\", \"support\": 7, \"avg_response\": 2.0}, {\"Innovation_Score\": \"76.5\", \"support\": 7, \"avg_response\": 1.1428571428571428}, {\"Innovation_Score\": \"88.6\", \"support\": 6, \"avg_response\": 8.166666666666666}, {\"Innovation_Score\": \"75.5\", \"support\": 6, \"avg_response\": 7.166666666666667}, {\"Innovation_Score\": \"65.0\", \"support\": 6, \"avg_response\": 6.666666666666667}, {\"Innovation_Score\": \"86.3\", \"support\": 6, \"avg_response\": 6.333333333333333}, {\"Innovation_Score\": \"72.2\", \"support\": 6, \"avg_response\": 6.0}, {\"Innovation_Score\": \"76.0\", \"support\": 6, \"avg_response\": 5.833333333333333}, {\"Innovation_Score\": \"73.0\", \"support\": 6, \"avg_response\": 5.0}, {\"Innovation_Score\": \"75.9\", \"support\": 6, \"avg_response\": 5.0}, {\"Innovation_Score\": \"77.7\", \"support\": 6, \"avg_response\": 5.0}, {\"Innovation_Score\": \"83.7\", \"support\": 6, \"avg_response\": 4.833333333333333}, {\"Innovation_Score\": \"64.3\", \"support\": 6, \"avg_response\": 4.333333333333333}, {\"Innovation_Score\": \"81.8\", \"support\": 6, \"avg_response\": 3.8333333333333335}, {\"Innovation_Score\": \"68.7\", \"support\": 6, \"avg_response\": 3.5}, {\"Innovation_Score\": \"86.4\", \"support\": 6, \"avg_response\": 3.5}, {\"Innovation_Score\": \"64.9\", \"support\": 6, \"avg_response\": 3.1666666666666665}, {\"Innovation_Score\": \"85.0\", \"support\": 6, \"avg_response\": 3.1666666666666665}, {\"Innovation_Score\": \"68.2\", \"support\": 6, \"avg_response\": 3.0}, {\"Innovation_Score\": \"74.2\", \"support\": 6, \"avg_response\": 3.0}, {\"Innovation_Score\": \"83.2\", \"support\": 5, \"avg_response\": 10.0}, {\"Innovation_Score\": \"87.3\", \"support\": 5, \"avg_response\": 8.0}, {\"Innovation_Score\": \"71.9\", \"support\": 5, \"avg_response\": 7.6}, {\"Innovation_Score\": \"92.0\", \"support\": 5, \"avg_response\": 6.8}, {\"Innovation_Score\": \"75.7\", \"support\": 5, \"avg_response\": 6.4}, {\"Innovation_Score\": \"82.1\", \"support\": 5, \"avg_response\": 6.4}, {\"Innovation_Score\": \"82.3\", \"support\": 5, \"avg_response\": 5.8}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5968ea046935943fd547ba601382546e4dd571e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.320083+00:00", + "ended_at": "2026-05-19T16:11:34.321947+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c3ea5ca228679609", + "problem_id": "v2p_m1_3759386e84b603fa", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Years_Experience, key_col=Innovation_Score.", + "bindings": { + "key_col": "Innovation_Score", + "measure_col": "Years_Experience", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c3ea5ca228679609.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_a/m1/artifacts/v2q_m1_c3ea5ca228679609/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c3ea5ca228679609/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_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f1f53d598e8597bc71449dc6dc9e4132b3140e0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:09:11.226212+00:00", + "ended_at": "2026-05-19T16:09:18.671396+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c47a38d2b51e254e", + "problem_id": "v2p_m1_3a7e202c5783f621", + "dataset_id": "m1", + "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=Stress_Level, measure_col=Quality_Score.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "Quality_Score", + "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": 93.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5cc4f87a4a821c0e2fe9e3a01169a88efa3708bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c47a38d2b51e254e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:14.753715+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": 3525.22, "started_at": "2026-05-19T16:09:11.227728+00:00", "ended_at": "2026-05-19T16:09:14.752973+00:00", "prompt_metrics": {"chars": 16421, "bytes_utf8": 16421, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-9237-75d0-a4e2-03ff0898ff72\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:18.671307+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": 2915.72, "started_at": "2026-05-19T16:09:15.754696+00:00", "ended_at": "2026-05-19T16:09:18.670449+00:00", "prompt_metrics": {"chars": 16421, "bytes_utf8": 16421, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-a3ea-7272-b500-e9be4f32eecf\"}\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_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0300fe6c7a217575f17d77b21359258f13770b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/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=Stress_Level, measure_col=Job_Satisfaction. +Result preview: [{"Stress_Level": "6", "group_value": 30150.0}, {"Stress_Level": "5", "group_value": 24492.0}, {"Stress_Level": "7", "group_value": 20242.5}, {"Stress_Level": "4", "group_value": 17796.2}, {"Stress_Level": "8", "group_value": 16990.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a54ac16b4b7d7da74500b1518bcd7b37ab467762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c5d752a9ffd5e1d6 +-- problem_id: v2p_m1_07910b1d18f06d71 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Stress_Level", + SUM(CAST("Job_Satisfaction" AS REAL)) AS group_value + FROM "m1" + WHERE "Stress_Level" IS NOT NULL + AND "Job_Satisfaction" IS NOT NULL + GROUP BY "Stress_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."Stress_Level", + 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_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..635827a2c8e889f95f55ca2d7d119a17d372f4c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT\n \"Stress_Level\",\n SUM(CAST(\"Job_Satisfaction\" AS REAL)) AS group_value\n FROM \"m1\"\n WHERE \"Stress_Level\" IS NOT NULL\n AND \"Job_Satisfaction\" IS NOT NULL\n GROUP BY \"Stress_Level\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"Stress_Level\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"Stress_Level\\\",\\n SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n WHERE \\\"Stress_Level\\\" IS NOT NULL\\n AND \\\"Job_Satisfaction\\\" IS NOT NULL\\n GROUP BY \\\"Stress_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"Stress_Level\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"Stress_Level\", \"group_value\"], \"rows\": [{\"Stress_Level\": \"6\", \"group_value\": 30150.0}, {\"Stress_Level\": \"5\", \"group_value\": 24492.0}, {\"Stress_Level\": \"7\", \"group_value\": 20242.5}, {\"Stress_Level\": \"4\", \"group_value\": 17796.2}, {\"Stress_Level\": \"8\", \"group_value\": 16990.9}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e97f78ed8d2367b07482b22e44bb7d074f2732f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:50:56.885041+00:00", + "ended_at": "2026-05-19T15:51:09.342358+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c5d752a9ffd5e1d6", + "problem_id": "v2p_m1_07910b1d18f06d71", + "dataset_id": "m1", + "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=Stress_Level, measure_col=Job_Satisfaction.", + "bindings": { + "group_col": "Stress_Level", + "measure_col": "Job_Satisfaction", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c5d752a9ffd5e1d6.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c5d752a9ffd5e1d6", + "api_calls": 0, + "input_tokens": 16821, + "cached_input_tokens": 15744, + "output_tokens": 586, + "total_tokens": 17407, + "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": 12450.78, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/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_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61e85b3fcf78a1cb8de10125f70f07df54a72a3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:09.338265+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": 12450.78, "started_at": "2026-05-19T15:50:56.886293+00:00", "ended_at": "2026-05-19T15:51:09.337101+00:00", "prompt_metrics": {"chars": 16898, "bytes_utf8": 16898, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 782, "bytes_utf8": 782, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16821, "cached_input_tokens": 15744, "output_tokens": 586, "reasoning_output_tokens": 384}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"Stress_Level\\\",\\n SUM(CAST(\\\"Job_Satisfaction\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n WHERE \\\"Stress_Level\\\" IS NOT NULL\\n AND \\\"Job_Satisfaction\\\" IS NOT NULL\\n GROUP BY \\\"Stress_Level\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"Stress_Level\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"Stress_Level\\\" and measure_col=\\\"Job_Satisfaction\\\". Cast \\\"Job_Satisfaction\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9cccf08b75910be80b2e0dda0bc2dfa683785872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c5d752a9ffd5e1d6", + "api_calls": 0, + "input_tokens": 16821, + "cached_input_tokens": 15744, + "output_tokens": 586, + "total_tokens": 17407, + "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": 12450.78, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c5d752a9ffd5e1d6/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_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f6a239807053026a66f32509afecc5de54d787e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/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=Marital_Status. +Result preview: [{"Marital_Status": "Married", "row_count": 775}, {"Marital_Status": "Single", "row_count": 417}, {"Marital_Status": "Divorced", "row_count": 186}, {"Marital_Status": "In Relationship", "row_count": 122}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8a30a713852a198704d85b2876fc1958d3f9966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c7c146b9ba6a1ca1 +-- problem_id: v2p_m1_29bbd1db9b6b1cbf +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81b5f425771698cbeb58b556d7f203ce726d63a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/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 \"Marital_Status\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nGROUP BY \"Marital_Status\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Marital_Status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Marital_Status\", \"row_count\"], \"rows\": [{\"Marital_Status\": \"Married\", \"row_count\": 775}, {\"Marital_Status\": \"Single\", \"row_count\": 417}, {\"Marital_Status\": \"Divorced\", \"row_count\": 186}, {\"Marital_Status\": \"In Relationship\", \"row_count\": 122}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..70ae87d2a078886b51381082d97c8b80ae44e8d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:33:37.509585+00:00", + "ended_at": "2026-05-19T15:33:52.967887+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c7c146b9ba6a1ca1", + "problem_id": "v2p_m1_29bbd1db9b6b1cbf", + "dataset_id": "m1", + "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=Marital_Status.", + "bindings": { + "group_col": "Marital_Status", + "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": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=19" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_a/m1/sql/v2q_m1_c7c146b9ba6a1ca1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c7c146b9ba6a1ca1", + "api_calls": 0, + "input_tokens": 16656, + "cached_input_tokens": 15744, + "output_tokens": 600, + "total_tokens": 17256, + "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": 15453.99, + "sql_execution_elapsed_ms_total": 1.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/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_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a8013e6fa212847c67fe37d023033fac104faed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:52.965613+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": 15453.99, "started_at": "2026-05-19T15:33:37.510748+00:00", "ended_at": "2026-05-19T15:33:52.964770+00:00", "prompt_metrics": {"chars": 16239, "bytes_utf8": 16239, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16656, "cached_input_tokens": 15744, "output_tokens": 600, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Marital_Status\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Marital_Status\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped-count template with \\\"Marital_Status\\\" as the category column to return subgroup sizes ordered from largest to smallest.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a80cf806e8946fa7249a72e7dc7d050678516b93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_c7c146b9ba6a1ca1", + "api_calls": 0, + "input_tokens": 16656, + "cached_input_tokens": 15744, + "output_tokens": 600, + "total_tokens": 17256, + "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": 15453.99, + "sql_execution_elapsed_ms_total": 1.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7c146b9ba6a1ca1/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_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb94cb4a9e8f3a1c132cfabf96dec284ce703fa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Married", "support": 775, "support_share": 0.5166666666666667, "support_rank": 1}, {"value_label": "Single", "support": 417, "support_share": 0.278, "support_rank": 2}, {"value_label": "Divorced", "support": 186, "support_share": 0.124, "support_rank": 3}, {"value_label": "In Relationship", "support": 122, "support_share": 0.08133333333333333, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3933b33d144886825a6f15d69f591be176c9e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_c7f9e8612803aa10 +-- problem_id: v2p_m1_349090ae9203873f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Marital_Status" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Marital_Status" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c8698ab4f6bea5867ae043ba9e19d0531a7a763 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m1_c7f9e8612803aa10\n-- problem_id: v2p_m1_349090ae9203873f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Marital_Status\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Marital_Status\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m1_c7f9e8612803aa10\\n-- problem_id: v2p_m1_349090ae9203873f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Marital_Status\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Marital_Status\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"Married\", \"support\": 775, \"support_share\": 0.5166666666666667, \"support_rank\": 1}, {\"value_label\": \"Single\", \"support\": 417, \"support_share\": 0.278, \"support_rank\": 2}, {\"value_label\": \"Divorced\", \"support\": 186, \"support_share\": 0.124, \"support_rank\": 3}, {\"value_label\": \"In Relationship\", \"support\": 122, \"support_share\": 0.08133333333333333, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce084028837484b42b0022214c4b42db5b9a36af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.283379+00:00", + "ended_at": "2026-05-19T16:11:34.284816+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_c7f9e8612803aa10", + "problem_id": "v2p_m1_349090ae9203873f", + "dataset_id": "m1", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=Marital_Status.", + "bindings": { + "group_col": "Marital_Status" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7f9e8612803aa10.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_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_c7f9e8612803aa10/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_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ca3f3c5be8baeb880cc23e25dc7e2a7ad2a6445 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/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=Industry, measure_col=Meetings_Per_Week. +Result preview: [{"Industry": "Manufacturing", "percentile_measure": 13.0}, {"Industry": "Media", "percentile_measure": 13.0}, {"Industry": "Consulting", "percentile_measure": 12.0}, {"Industry": "Education", "percentile_measure": 12.0}, {"Industry": "Government", "percentile_measure": 12.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..963dddebb0bd1110298f6509aded1aa5058caaa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/generated_sql.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_cedf08d47958fc8f +-- problem_id: v2p_m1_5635effa0287652f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Industry", + CAST("Meetings_Per_Week" AS REAL) AS "measure_value", + COUNT(*) OVER (PARTITION BY "Industry") AS "group_size", + CUME_DIST() OVER ( + PARTITION BY "Industry" + ORDER BY CAST("Meetings_Per_Week" AS REAL) + ) AS "cume_dist_value" + FROM "m1" + WHERE "Industry" IS NOT NULL + AND "Meetings_Per_Week" IS NOT NULL +), +"percentiles" AS ( + SELECT + "Industry", + MIN("measure_value") AS "percentile_measure", + MAX("group_size") AS "group_size" + FROM "ranked" + WHERE "cume_dist_value" >= 0.9 + GROUP BY "Industry" +) +SELECT + "Industry", + "percentile_measure" +FROM "percentiles" +WHERE "group_size" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1993150fe08cbcc1a59758ac448f5f4ba33b976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/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 \"Industry\",\n CAST(\"Meetings_Per_Week\" AS REAL) AS \"measure_value\",\n COUNT(*) OVER (PARTITION BY \"Industry\") AS \"group_size\",\n CUME_DIST() OVER (\n PARTITION BY \"Industry\"\n ORDER BY CAST(\"Meetings_Per_Week\" AS REAL)\n ) AS \"cume_dist_value\"\n FROM \"m1\"\n WHERE \"Industry\" IS NOT NULL\n AND \"Meetings_Per_Week\" IS NOT NULL\n),\n\"percentiles\" AS (\n SELECT\n \"Industry\",\n MIN(\"measure_value\") AS \"percentile_measure\",\n MAX(\"group_size\") AS \"group_size\"\n FROM \"ranked\"\n WHERE \"cume_dist_value\" >= 0.9\n GROUP BY \"Industry\"\n)\nSELECT\n \"Industry\",\n \"percentile_measure\"\nFROM \"percentiles\"\nWHERE \"group_size\" >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Industry\\\") AS \\\"group_size\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Industry\\\"\\n ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Industry\\\" IS NOT NULL\\n AND \\\"Meetings_Per_Week\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\",\\n MAX(\\\"group_size\\\") AS \\\"group_size\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n GROUP BY \\\"Industry\\\"\\n)\\nSELECT\\n \\\"Industry\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"group_size\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 13;\", \"columns\": [\"Industry\", \"percentile_measure\"], \"rows\": [{\"Industry\": \"Manufacturing\", \"percentile_measure\": 13.0}, {\"Industry\": \"Media\", \"percentile_measure\": 13.0}, {\"Industry\": \"Consulting\", \"percentile_measure\": 12.0}, {\"Industry\": \"Education\", \"percentile_measure\": 12.0}, {\"Industry\": \"Government\", \"percentile_measure\": 12.0}, {\"Industry\": \"Retail\", \"percentile_measure\": 12.0}, {\"Industry\": \"Technology\", \"percentile_measure\": 12.0}, {\"Industry\": \"Finance\", \"percentile_measure\": 11.0}, {\"Industry\": \"Healthcare\", \"percentile_measure\": 11.0}, {\"Industry\": \"Non-profit\", \"percentile_measure\": 11.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..feced7e0cbbc254381096db8f6bd47ac584b55ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:01:03.286540+00:00", + "ended_at": "2026-05-19T16:01:45.215043+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_cedf08d47958fc8f", + "problem_id": "v2p_m1_5635effa0287652f", + "dataset_id": "m1", + "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=Industry, measure_col=Meetings_Per_Week.", + "bindings": { + "group_col": "Industry", + "measure_col": "Meetings_Per_Week", + "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": 10.0, + "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=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cedf08d47958fc8f.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_cedf08d47958fc8f", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 2901, + "total_tokens": 19624, + "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": 41920.32, + "sql_execution_elapsed_ms_total": 3.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/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_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..280fed42d2204bd92600fa21e918c3c0dd129f11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:45.209758+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": 41920.32, "started_at": "2026-05-19T16:01:03.288527+00:00", "ended_at": "2026-05-19T16:01:45.208879+00:00", "prompt_metrics": {"chars": 16513, "bytes_utf8": 16513, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1096, "bytes_utf8": 1096, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16723, "cached_input_tokens": 12032, "output_tokens": 2901, "reasoning_output_tokens": 2588}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n COUNT(*) OVER (PARTITION BY \\\"Industry\\\") AS \\\"group_size\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"Industry\\\"\\n ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL)\\n ) AS \\\"cume_dist_value\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Industry\\\" IS NOT NULL\\n AND \\\"Meetings_Per_Week\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\",\\n MAX(\\\"group_size\\\") AS \\\"group_size\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cume_dist_value\\\" >= 0.9\\n GROUP BY \\\"Industry\\\"\\n)\\nSELECT\\n \\\"Industry\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"group_size\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 13;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based discrete 90th-percentile surrogate for \\\"Meetings_Per_Week\\\" within e"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..618715cbbec19548d984e893e00c3547aa681ece --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_cedf08d47958fc8f", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 2901, + "total_tokens": 19624, + "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": 41920.32, + "sql_execution_elapsed_ms_total": 3.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cedf08d47958fc8f/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_a/m1/artifacts/v2q_m1_cf451603badf73b4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3073f73ebe6a5fb9a1461764720be061f503a01c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/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=Team_Collaboration_Frequency, condition_col=Job_Level. +Result preview: [{"Team_Collaboration_Frequency": "Bi-weekly", "condition_rate": 0.31297709923664124}, {"Team_Collaboration_Frequency": "Daily", "condition_rate": 0.307843137254902}, {"Team_Collaboration_Frequency": "Few times per week", "condition_rate": 0.27191011235955054}, {"Team_Collaboration_Frequency": "Monthly", "condition_rate": 0.25675675675675674}, {"Team_Collaboration_Frequency": "Weekly", "condition_rate": 0.24705882352941178}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a3bacdd2da7bf21d9a479eeb47cda0b650cb3042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_cf451603badf73b4 +-- problem_id: v2p_m1_cf90bd1d83300c71 +-- realization_mode: agent +-- source_kind: agent +SELECT "Team_Collaboration_Frequency", + AVG(CASE WHEN "Job_Level" = 'Mid-Level' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Team_Collaboration_Frequency" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f207904a893373c3dc8876270b729569eb121ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/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 \"Team_Collaboration_Frequency\",\n AVG(CASE WHEN \"Job_Level\" = 'Mid-Level' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Team_Collaboration_Frequency\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Team_Collaboration_Frequency\\\",\\n AVG(CASE WHEN \\\"Job_Level\\\" = 'Mid-Level' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Team_Collaboration_Frequency\", \"condition_rate\"], \"rows\": [{\"Team_Collaboration_Frequency\": \"Bi-weekly\", \"condition_rate\": 0.31297709923664124}, {\"Team_Collaboration_Frequency\": \"Daily\", \"condition_rate\": 0.307843137254902}, {\"Team_Collaboration_Frequency\": \"Few times per week\", \"condition_rate\": 0.27191011235955054}, {\"Team_Collaboration_Frequency\": \"Monthly\", \"condition_rate\": 0.25675675675675674}, {\"Team_Collaboration_Frequency\": \"Weekly\", \"condition_rate\": 0.24705882352941178}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5e2b3b85dbbcdf862062dc2ced18908a73888a08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:15.020351+00:00", + "ended_at": "2026-05-19T16:03:24.422105+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_cf451603badf73b4", + "problem_id": "v2p_m1_cf90bd1d83300c71", + "dataset_id": "m1", + "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=Team_Collaboration_Frequency, condition_col=Job_Level.", + "bindings": { + "group_col": "Team_Collaboration_Frequency", + "condition_col": "Job_Level", + "condition_value": "Mid-Level", + "positive_value": "Junior", + "negative_value": "Mid-Level", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 8.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cf451603badf73b4.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_cf451603badf73b4", + "api_calls": 0, + "input_tokens": 16753, + "cached_input_tokens": 12032, + "output_tokens": 314, + "total_tokens": 17067, + "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": 9396.85, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/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_a/m1/artifacts/v2q_m1_cf451603badf73b4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb1932472446d7eb0ba31cb98832f0473edc7e01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:24.419655+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": 9396.85, "started_at": "2026-05-19T16:03:15.021968+00:00", "ended_at": "2026-05-19T16:03:24.418843+00:00", "prompt_metrics": {"chars": 16623, "bytes_utf8": 16623, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 482, "bytes_utf8": 482, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16753, "cached_input_tokens": 12032, "output_tokens": 314, "reasoning_output_tokens": 188}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Team_Collaboration_Frequency\\\",\\n AVG(CASE WHEN \\\"Job_Level\\\" = 'Mid-Level' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Team_Collaboration_Frequency\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"Team_Collaboration_Frequency\\\" and condition_col=\\\"Job_Level\\\", measuring the within-group proportion of rows where \\\"Job_Level\\\" = 'Mid-Level'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f92a51a35b382217de6a5dbbb2a09547e4d6088 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_cf451603badf73b4", + "api_calls": 0, + "input_tokens": 16753, + "cached_input_tokens": 12032, + "output_tokens": 314, + "total_tokens": 17067, + "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": 9396.85, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_cf451603badf73b4/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_a/m1/artifacts/v2q_m1_d0a659e45057df42/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2562a18301eb7b56eeeda1bc5db083a60644de8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/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=Has_Children, group_col_2=Manager_Support_Level. +Result preview: [{"Has_Children": "No", "Manager_Support_Level": "Moderate", "row_count": 78}, {"Has_Children": "Yes", "Manager_Support_Level": "Moderate", "row_count": 61}, {"Has_Children": "No", "Manager_Support_Level": "High", "row_count": 60}, {"Has_Children": "Yes", "Manager_Support_Level": "High", "row_count": 59}, {"Has_Children": "No", "Manager_Support_Level": "Very High", "row_count": 41}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..001febeb81af701e26ef5ccd711a7bb0bf8f448a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d0a659e45057df42 +-- problem_id: v2p_m1_371eb7055aaa4c2f +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Manager_Support_Level", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Commute_Time_Minutes" AS REAL) >= 38.0 +GROUP BY "Has_Children", "Manager_Support_Level" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64e9b0d6c9fa0026596dbd9991a2059fac77d801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/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 \"Has_Children\", \"Manager_Support_Level\", COUNT(*) AS row_count\nFROM \"m1\"\nWHERE CAST(\"Commute_Time_Minutes\" AS REAL) >= 38.0\nGROUP BY \"Has_Children\", \"Manager_Support_Level\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Manager_Support_Level\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Commute_Time_Minutes\\\" AS REAL) >= 38.0\\nGROUP BY \\\"Has_Children\\\", \\\"Manager_Support_Level\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"Has_Children\", \"Manager_Support_Level\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Manager_Support_Level\": \"Moderate\", \"row_count\": 78}, {\"Has_Children\": \"Yes\", \"Manager_Support_Level\": \"Moderate\", \"row_count\": 61}, {\"Has_Children\": \"No\", \"Manager_Support_Level\": \"High\", \"row_count\": 60}, {\"Has_Children\": \"Yes\", \"Manager_Support_Level\": \"High\", \"row_count\": 59}, {\"Has_Children\": \"No\", \"Manager_Support_Level\": \"Very High\", \"row_count\": 41}, {\"Has_Children\": \"Yes\", \"Manager_Support_Level\": \"Very High\", \"row_count\": 30}, {\"Has_Children\": \"No\", \"Manager_Support_Level\": \"Low\", \"row_count\": 23}, {\"Has_Children\": \"Yes\", \"Manager_Support_Level\": \"Low\", \"row_count\": 21}, {\"Has_Children\": \"No\", \"Manager_Support_Level\": \"Very Low\", \"row_count\": 5}, {\"Has_Children\": \"Yes\", \"Manager_Support_Level\": \"Very Low\", \"row_count\": 5}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f027de8e7d97e7329db5a77690874d4190d21267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:43:17.486085+00:00", + "ended_at": "2026-05-19T15:43:31.757971+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d0a659e45057df42", + "problem_id": "v2p_m1_371eb7055aaa4c2f", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Manager_Support_Level.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Manager_Support_Level", + "predicate_col": "Commute_Time_Minutes", + "predicate_op": ">=", + "predicate_value": 38.0, + "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": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0a659e45057df42.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d0a659e45057df42", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 15744, + "output_tokens": 365, + "total_tokens": 17150, + "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": 14264.83, + "sql_execution_elapsed_ms_total": 1.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/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_a/m1/artifacts/v2q_m1_d0a659e45057df42/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdaaa876f9eacf058d35184602670cd092291d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:31.754650+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": 14264.83, "started_at": "2026-05-19T15:43:17.487959+00:00", "ended_at": "2026-05-19T15:43:31.752827+00:00", "prompt_metrics": {"chars": 16675, "bytes_utf8": 16675, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 488, "bytes_utf8": 488, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16785, "cached_input_tokens": 15744, "output_tokens": 365, "reasoning_output_tokens": 239}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Manager_Support_Level\\\", COUNT(*) AS row_count\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Commute_Time_Minutes\\\" AS REAL) >= 38.0\\nGROUP BY \\\"Has_Children\\\", \\\"Manager_Support_Level\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with Has_Children and Manager_Support_Level. Cast Commute_Time_Minutes to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b93c7f5bdb3070f1d87caf80b78306069f219ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d0a659e45057df42", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 15744, + "output_tokens": 365, + "total_tokens": 17150, + "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": 14264.83, + "sql_execution_elapsed_ms_total": 1.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d0a659e45057df42/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_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..397dc1c3e64292ea5219e15db6799d1d61bdd88c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/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=Internet_Speed_Category, condition_col=Location_Type. +Result preview: [{"Internet_Speed_Category": "Fast (50-100 Mbps)", "condition_ratio": 1.0636363636363637}, {"Internet_Speed_Category": "Very Fast (100+ Mbps)", "condition_ratio": 1.00990099009901}, {"Internet_Speed_Category": "Moderate (25-50 Mbps)", "condition_ratio": 0.9719626168224299}, {"Internet_Speed_Category": "Slow (<25 Mbps)", "condition_ratio": 0.8235294117647058}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a4776f9325019eaed9c0362736f3434e10ea2b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d1812e90e549c4d7 +-- problem_id: v2p_m1_36fdab3501ce4b5f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Internet_Speed_Category", + SUM(CASE WHEN "Location_Type" = 'Suburban' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Location_Type" = 'Urban' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Internet_Speed_Category" +) +SELECT "Internet_Speed_Category", + 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_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6be38d20874f099b9ee187e55bd00840372ddd3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/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 \"Internet_Speed_Category\",\n SUM(CASE WHEN \"Location_Type\" = 'Suburban' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"Location_Type\" = 'Urban' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m1\"\n GROUP BY \"Internet_Speed_Category\"\n)\nSELECT \"Internet_Speed_Category\",\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 \\\"Internet_Speed_Category\\\",\\n SUM(CASE WHEN \\\"Location_Type\\\" = 'Suburban' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Location_Type\\\" = 'Urban' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n)\\nSELECT \\\"Internet_Speed_Category\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"Internet_Speed_Category\", \"condition_ratio\"], \"rows\": [{\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"condition_ratio\": 1.0636363636363637}, {\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"condition_ratio\": 1.00990099009901}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"condition_ratio\": 0.9719626168224299}, {\"Internet_Speed_Category\": \"Slow (<25 Mbps)\", \"condition_ratio\": 0.8235294117647058}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f874126fa6aa26cd5e516df2cc6477ce58170b77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:42:23.839101+00:00", + "ended_at": "2026-05-19T15:42:38.700394+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d1812e90e549c4d7", + "problem_id": "v2p_m1_36fdab3501ce4b5f", + "dataset_id": "m1", + "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=Internet_Speed_Category, condition_col=Location_Type.", + "bindings": { + "group_col": "Internet_Speed_Category", + "condition_col": "Location_Type", + "condition_value": "Suburban", + "positive_value": "Suburban", + "negative_value": "Urban", + "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": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d1812e90e549c4d7.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d1812e90e549c4d7", + "api_calls": 0, + "input_tokens": 16896, + "cached_input_tokens": 15744, + "output_tokens": 560, + "total_tokens": 17456, + "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": 14854.22, + "sql_execution_elapsed_ms_total": 1.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/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_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53a9d4425f014b2420407499af81b8cdcfa60545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:38.696543+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": 14854.22, "started_at": "2026-05-19T15:42:23.841255+00:00", "ended_at": "2026-05-19T15:42:38.695505+00:00", "prompt_metrics": {"chars": 17181, "bytes_utf8": 17181, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 759, "bytes_utf8": 759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16896, "cached_input_tokens": 15744, "output_tokens": 560, "reasoning_output_tokens": 370}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"Internet_Speed_Category\\\",\\n SUM(CASE WHEN \\\"Location_Type\\\" = 'Suburban' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"Location_Type\\\" = 'Urban' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n)\\nSELECT \\\"Internet_Speed_Category\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Instantiated the grouped ratio template with group_col=\\\"Internet_Speed_Category\\\" and condition_col=\\\"Location_Type\\\", using 'Suburban' as the numerator condition and 'Urban' as the denominator condition.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5af11de85747970768b9f98ba343609a18112f65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d1812e90e549c4d7", + "api_calls": 0, + "input_tokens": 16896, + "cached_input_tokens": 15744, + "output_tokens": 560, + "total_tokens": 17456, + "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": 14854.22, + "sql_execution_elapsed_ms_total": 1.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d1812e90e549c4d7/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_a/m1/artifacts/v2q_m1_d3e3bc47147f9b33/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d3e3bc47147f9b33/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d81b1d21d5d05acdcdd4a635ed6c392b083b72dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d3e3bc47147f9b33/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:33.812865+00:00", + "ended_at": "2026-05-19T16:08:41.084419+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d3e3bc47147f9b33", + "problem_id": "v2p_m1_8300f698d2c2bdfc", + "dataset_id": "m1", + "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=Company_Size.", + "bindings": { + "group_col": "Company_Size", + "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": 41.0, + "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=7", + "sql_variant_index=1/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5c7bfc95652595899255d6e8956377d82b2fb32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/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=Location_Type, measure_col=Productivity_Score. +Result preview: [{"Location_Type": "Suburban", "total_measure": 56179.1}, {"Location_Type": "Urban", "total_measure": 54761.0}, {"Location_Type": "Rural", "total_measure": 13702.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a07141eef1229d872ef1e68d630f0526b10e9c25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_d4bbf84268ee27df +-- problem_id: v2p_m1_53fa684219558d36 +-- realization_mode: agent +-- source_kind: agent +SELECT "Location_Type", SUM(CAST("Productivity_Score" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Location_Type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af770bfdea4befcd2ab92d18e4aa0efada8e56e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/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 \"Location_Type\", SUM(CAST(\"Productivity_Score\" AS REAL)) AS total_measure\nFROM \"m1\"\nGROUP BY \"Location_Type\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Location_Type\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Location_Type\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"Location_Type\", \"total_measure\"], \"rows\": [{\"Location_Type\": \"Suburban\", \"total_measure\": 56179.1}, {\"Location_Type\": \"Urban\", \"total_measure\": 54761.0}, {\"Location_Type\": \"Rural\", \"total_measure\": 13702.2}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d89bc9ec4a81be9cb07ba10032f142a79510a83b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:29:41.984377+00:00", + "ended_at": "2026-05-19T15:29:51.933767+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d4bbf84268ee27df", + "problem_id": "v2p_m1_53fa684219558d36", + "dataset_id": "m1", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=Location_Type, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Location_Type", + "measure_col": "Productivity_Score", + "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": 98.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d4bbf84268ee27df.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d4bbf84268ee27df", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 393, + "total_tokens": 17078, + "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": 9943.39, + "sql_execution_elapsed_ms_total": 1.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/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_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf88d28376f4d84f2678e9ed77be0c778569f02b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:51.931289+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": 9943.39, "started_at": "2026-05-19T15:29:41.987057+00:00", "ended_at": "2026-05-19T15:29:51.930478+00:00", "prompt_metrics": {"chars": 16348, "bytes_utf8": 16348, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 404, "bytes_utf8": 404, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16685, "cached_input_tokens": 12032, "output_tokens": 393, "reasoning_output_tokens": 286}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Location_Type\\\", SUM(CAST(\\\"Productivity_Score\\\" AS REAL)) AS total_measure\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Location_Type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"Location_Type\\\" and measure_col=\\\"Productivity_Score\\\". Casted \\\"Productivity_Score\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c99784100e49e7a40c81324e86f35ee91932b6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d4bbf84268ee27df", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 393, + "total_tokens": 17078, + "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": 9943.39, + "sql_execution_elapsed_ms_total": 1.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d4bbf84268ee27df/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_a/m1/artifacts/v2q_m1_d5258be445612f80/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1769c8d32ffa38815b9c1e852bb7d0c8df40299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/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=Has_Children, group_col_2=Team_Collaboration_Frequency. +Result preview: [{"Has_Children": "No", "Team_Collaboration_Frequency": "Daily", "row_count": 198}, {"Has_Children": "Yes", "Team_Collaboration_Frequency": "Daily", "row_count": 167}, {"Has_Children": "No", "Team_Collaboration_Frequency": "Few times per week", "row_count": 166}, {"Has_Children": "Yes", "Team_Collaboration_Frequency": "Few times per week", "row_count": 150}, {"Has_Children": "No", "Team_Collaboration_Frequency": "Weekly", "row_count": 131}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a1430c48c96143456173fa025a806265988468f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d5258be445612f80 +-- problem_id: v2p_m1_0dba2323f7ac0476 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Team_Collaboration_Frequency", COUNT(*) AS "row_count" +FROM "m1" +WHERE CAST("Job_Satisfaction" AS REAL) >= 100.0 +GROUP BY "Has_Children", "Team_Collaboration_Frequency" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa159ffecbd6ccf14aefe286ead342eef1bb36bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/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 \"Has_Children\", \"Team_Collaboration_Frequency\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nWHERE CAST(\"Job_Satisfaction\" AS REAL) >= 100.0\nGROUP BY \"Has_Children\", \"Team_Collaboration_Frequency\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Team_Collaboration_Frequency\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Job_Satisfaction\\\" AS REAL) >= 100.0\\nGROUP BY \\\"Has_Children\\\", \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Has_Children\", \"Team_Collaboration_Frequency\", \"row_count\"], \"rows\": [{\"Has_Children\": \"No\", \"Team_Collaboration_Frequency\": \"Daily\", \"row_count\": 198}, {\"Has_Children\": \"Yes\", \"Team_Collaboration_Frequency\": \"Daily\", \"row_count\": 167}, {\"Has_Children\": \"No\", \"Team_Collaboration_Frequency\": \"Few times per week\", \"row_count\": 166}, {\"Has_Children\": \"Yes\", \"Team_Collaboration_Frequency\": \"Few times per week\", \"row_count\": 150}, {\"Has_Children\": \"No\", \"Team_Collaboration_Frequency\": \"Weekly\", \"row_count\": 131}, {\"Has_Children\": \"Yes\", \"Team_Collaboration_Frequency\": \"Weekly\", \"row_count\": 118}, {\"Has_Children\": \"No\", \"Team_Collaboration_Frequency\": \"Bi-weekly\", \"row_count\": 53}, {\"Has_Children\": \"Yes\", \"Team_Collaboration_Frequency\": \"Bi-weekly\", \"row_count\": 43}, {\"Has_Children\": \"No\", \"Team_Collaboration_Frequency\": \"Monthly\", \"row_count\": 33}, {\"Has_Children\": \"Yes\", \"Team_Collaboration_Frequency\": \"Monthly\", \"row_count\": 22}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..05d2f5b21dd81d68eda6dab280582737e2c4d76b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:43:31.759164+00:00", + "ended_at": "2026-05-19T15:43:44.350704+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d5258be445612f80", + "problem_id": "v2p_m1_0dba2323f7ac0476", + "dataset_id": "m1", + "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=Has_Children, group_col_2=Team_Collaboration_Frequency.", + "bindings": { + "group_col": "Has_Children", + "group_col_2": "Team_Collaboration_Frequency", + "predicate_col": "Job_Satisfaction", + "predicate_op": ">=", + "predicate_value": 100.0, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 100.0, + "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=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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_a/m1/sql/v2q_m1_d5258be445612f80.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d5258be445612f80", + "api_calls": 0, + "input_tokens": 16787, + "cached_input_tokens": 12032, + "output_tokens": 455, + "total_tokens": 17242, + "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": 12585.72, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/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_a/m1/artifacts/v2q_m1_d5258be445612f80/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1042bd6270e4adb0d8c86795a9196a47e67c63e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:44.347600+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": 12585.72, "started_at": "2026-05-19T15:43:31.761059+00:00", "ended_at": "2026-05-19T15:43:44.346810+00:00", "prompt_metrics": {"chars": 16686, "bytes_utf8": 16686, "lines": 460, "estimated_tokens": null}, "response_metrics": {"chars": 521, "bytes_utf8": 521, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16787, "cached_input_tokens": 12032, "output_tokens": 455, "reasoning_output_tokens": 322}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"Has_Children\\\", \\\"Team_Collaboration_Frequency\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nWHERE CAST(\\\"Job_Satisfaction\\\" AS REAL) >= 100.0\\nGROUP BY \\\"Has_Children\\\", \\\"Team_Collaboration_Frequency\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required filtered two-dimensional group count template with the bound grouping columns. Cast \\\"Job_Satisfaction\\\" to REAL because the schema snapshot types it as TEXT while the predicate value is numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..080fd9a8a2affffe9af8355df98696986b2f529e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_d5258be445612f80", + "api_calls": 0, + "input_tokens": 16787, + "cached_input_tokens": 12032, + "output_tokens": 455, + "total_tokens": 17242, + "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": 12585.72, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d5258be445612f80/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_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d97869645a60e80707b144dc988eb6eba6397ae5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Female", "support": 737, "support_share": 0.49133333333333334, "cumulative_support": 737}, {"value_label": "Male", "support": 703, "support_share": 0.4686666666666667, "cumulative_support": 1440}, {"value_label": "Non-binary", "support": 60, "support_share": 0.04, "cumulative_support": 1500}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..72a9be93a70dfcc2c8660b615fd0a239684b171d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_d54ebc49f225bcc6 +-- problem_id: v2p_m1_db5d71e9b8c353f0 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Gender" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Gender" +), 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_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d4eb5a6c193a77edf55700965e54907166439c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m1_d54ebc49f225bcc6\n-- problem_id: v2p_m1_db5d71e9b8c353f0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"Gender\" AS value_label, COUNT(*) AS support\n FROM \"m1\"\n GROUP BY \"Gender\"\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_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m1_d54ebc49f225bcc6\\n-- problem_id: v2p_m1_db5d71e9b8c353f0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"Gender\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Gender\\\"\\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\": \"Female\", \"support\": 737, \"support_share\": 0.49133333333333334, \"cumulative_support\": 737}, {\"value_label\": \"Male\", \"support\": 703, \"support_share\": 0.4686666666666667, \"cumulative_support\": 1440}, {\"value_label\": \"Non-binary\", \"support\": 60, \"support_share\": 0.04, \"cumulative_support\": 1500}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b40867642ddd42950a8c70a92ddcb6fe01dda3ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.249434+00:00", + "ended_at": "2026-05-19T16:11:34.252298+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d54ebc49f225bcc6", + "problem_id": "v2p_m1_db5d71e9b8c353f0", + "dataset_id": "m1", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=Gender.", + "bindings": { + "group_col": "Gender" + }, + "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=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_a/m1/sql/v2q_m1_d54ebc49f225bcc6.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_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d54ebc49f225bcc6/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_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..890d7bda1d42e4914836018cff29a0d54ece7922 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:08.371430+00:00", + "ended_at": "2026-05-19T16:11:15.727789+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_d9ca320d964dd0cf", + "problem_id": "v2p_m1_85530c8a1e005c2a", + "dataset_id": "m1", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=Has_Children, measure_col=Work_Life_Balance.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Work_Life_Balance", + "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": 7.0, + "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=8", + "sql_variant_index=2/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "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_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..750324da16f73d525d44c6e8945bfbd47b948455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_d9ca320d964dd0cf/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:11.588891+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": 3214.42, "started_at": "2026-05-19T16:11:08.372910+00:00", "ended_at": "2026-05-19T16:11:11.587359+00:00", "prompt_metrics": {"chars": 16429, "bytes_utf8": 16429, "lines": 456, "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\":\"019e4101-5bdf-7961-a23b-f8a23752f0d3\"}\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": "2026-05-19T16:11:15.727700+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": 3136.58, "started_at": "2026-05-19T16:11:12.590351+00:00", "ended_at": "2026-05-19T16:11:15.726961+00:00", "prompt_metrics": {"chars": 16429, "bytes_utf8": 16429, "lines": 456, "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\":\"019e4101-6c4a-7c81-ade4-5b0b57b97f3e\"}\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_a/m1/artifacts/v2q_m1_dc319b160933f964/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dc319b160933f964/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0893bd46f8de8f068d139b0cc7a1674c8f1b43e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dc319b160933f964/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:10:45.568099+00:00", + "ended_at": "2026-05-19T16:10:53.257089+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_dc319b160933f964", + "problem_id": "v2p_m1_84d14e65acbfa005", + "dataset_id": "m1", + "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=Marital_Status, measure_col=Stress_Level.", + "bindings": { + "group_col": "Marital_Status", + "measure_col": "Stress_Level", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "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=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dc319b160933f964/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dc319b160933f964/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0e2fb8a1292b8e9a34609aaf4eca9c63879e5dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dc319b160933f964/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:48.927847+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": 3356.44, "started_at": "2026-05-19T16:10:45.570651+00:00", "ended_at": "2026-05-19T16:10:48.927125+00:00", "prompt_metrics": {"chars": 16423, "bytes_utf8": 16423, "lines": 456, "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\":\"019e4101-02c7-74b0-84a2-179e0367fffa\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:53.256932+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": 3326.95, "started_at": "2026-05-19T16:10:49.928797+00:00", "ended_at": "2026-05-19T16:10:53.255775+00:00", "prompt_metrics": {"chars": 16423, "bytes_utf8": 16423, "lines": 456, "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\":\"019e4101-13cc-7cb0-adac-5afc8ba983c1\"}\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_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..47b7883b3940d9fbe0d405c19bc972159429a31e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:08:12.029493+00:00", + "ended_at": "2026-05-19T16:08:19.664285+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_dd4960f03ec33bc6", + "problem_id": "v2p_m1_7ca41fc9a6025376", + "dataset_id": "m1", + "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": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=Department.", + "bindings": { + "group_col": "Department", + "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": 7.0, + "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=2/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "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_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae9e99dd6461a264494b961bce5c65981b9dbf96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_dd4960f03ec33bc6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:15.290521+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": 3258.19, "started_at": "2026-05-19T16:08:12.031248+00:00", "ended_at": "2026-05-19T16:08:15.289475+00:00", "prompt_metrics": {"chars": 16312, "bytes_utf8": 16312, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-ab01-7c72-87bf-af6cfb82c5f9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:19.664174+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": 3371.67, "started_at": "2026-05-19T16:08:16.291526+00:00", "ended_at": "2026-05-19T16:08:19.663231+00:00", "prompt_metrics": {"chars": 16312, "bytes_utf8": 16312, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-bbe5-72e2-8ac9-be2cc7656bfc\"}\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_a/m1/artifacts/v2q_m1_de76b4a85eebf400/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ab391bc1bdc970f24325cd5a081aeda65571f6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=Response_Quality, condition_col=Manager_Support_Level. +Result preview: [{"Response_Quality": "Medium", "condition_rate": 0.40599455040871935}, {"Response_Quality": "High", "condition_rate": 0.3475783475783476}, {"Response_Quality": "Low", "condition_rate": 0.3375}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f59e06db77d84e54b23077b79877b2347e43862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_de76b4a85eebf400 +-- problem_id: v2p_m1_0971bdcdf8b67965 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", + AVG(CASE WHEN "Manager_Support_Level" = 'Moderate' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Response_Quality" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..00610031c9570807c2a499441d005ba7359c96c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/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 \"Response_Quality\",\n AVG(CASE WHEN \"Manager_Support_Level\" = 'Moderate' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Response_Quality\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Response_Quality\\\",\\n AVG(CASE WHEN \\\"Manager_Support_Level\\\" = 'Moderate' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Response_Quality\", \"condition_rate\"], \"rows\": [{\"Response_Quality\": \"Medium\", \"condition_rate\": 0.40599455040871935}, {\"Response_Quality\": \"High\", \"condition_rate\": 0.3475783475783476}, {\"Response_Quality\": \"Low\", \"condition_rate\": 0.3375}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2db70eb24d6d7af4c207c3d011f7aab99bd2c0a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:04:30.518987+00:00", + "ended_at": "2026-05-19T16:04:41.320512+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_de76b4a85eebf400", + "problem_id": "v2p_m1_0971bdcdf8b67965", + "dataset_id": "m1", + "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=Response_Quality, condition_col=Manager_Support_Level.", + "bindings": { + "group_col": "Response_Quality", + "condition_col": "Manager_Support_Level", + "condition_value": "Moderate", + "positive_value": "Moderate", + "negative_value": "High", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 46.0, + "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=1/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_a/m1/sql/v2q_m1_de76b4a85eebf400.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_de76b4a85eebf400", + "api_calls": 0, + "input_tokens": 16750, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 17005, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10796.97, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/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_a/m1/artifacts/v2q_m1_de76b4a85eebf400/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1306021bae4519afa7bee49f5c3aa1ae99a8d877 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:41.318006+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": 10796.97, "started_at": "2026-05-19T16:04:30.520211+00:00", "ended_at": "2026-05-19T16:04:41.317207+00:00", "prompt_metrics": {"chars": 16613, "bytes_utf8": 16613, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 368, "bytes_utf8": 368, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16750, "cached_input_tokens": 12032, "output_tokens": 255, "reasoning_output_tokens": 154}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Response_Quality\\\",\\n AVG(CASE WHEN \\\"Manager_Support_Level\\\" = 'Moderate' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped by Response_Quality and computed the share of rows where Manager_Support_Level is 'Moderate'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ddeb991ecb7b7619a422087c01b1f3b245357301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_de76b4a85eebf400", + "api_calls": 0, + "input_tokens": 16750, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 17005, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10796.97, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_de76b4a85eebf400/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_a/m1/artifacts/v2q_m1_e020021a868a8665/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..79d397e990d5360b08664690a16a42dfad167685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/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=Industry, measure_col=Meetings_Per_Week. +Result preview: [{"Industry": "Manufacturing", "percentile_measure": 14.0}, {"Industry": "Media", "percentile_measure": 13.450000000000003}, {"Industry": "Education", "percentile_measure": 13.0}, {"Industry": "Technology", "percentile_measure": 13.0}, {"Industry": "Healthcare", "percentile_measure": 12.799999999999983}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bfa3a3254d1c521a7ef64af640c760f0eb886e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e020021a868a8665 +-- problem_id: v2p_m1_24753dfab6ed580c +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Industry", + CAST("Meetings_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Industry" + ORDER BY CAST("Meetings_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Industry" + ) AS "n" + FROM "m1" + WHERE "Industry" IS NOT NULL + AND "Meetings_Per_Week" IS NOT NULL + AND TRIM("Meetings_Per_Week") <> '' +), +"bounds" AS ( + SELECT + "Industry", + 1.0 + 0.95 * (MAX("n") - 1) AS "pos", + CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) AS "lower_rn", + CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) + + CASE + WHEN (1.0 + 0.95 * (MAX("n") - 1)) > CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ordered" + GROUP BY "Industry" + HAVING MAX("n") >= 5 +) +SELECT + b."Industry", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + + (b."pos" - b."lower_rn") * ( + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."measure_value" END) - + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Industry" = b."Industry" +GROUP BY + b."Industry", + b."pos", + b."lower_rn", + b."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46801ede1054777fd9f62e579106576d90e19031 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"Industry\",\n CAST(\"Meetings_Per_Week\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Industry\"\n ORDER BY CAST(\"Meetings_Per_Week\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Industry\"\n ) AS \"n\"\n FROM \"m1\"\n WHERE \"Industry\" IS NOT NULL\n AND \"Meetings_Per_Week\" IS NOT NULL\n AND TRIM(\"Meetings_Per_Week\") <> ''\n),\n\"bounds\" AS (\n SELECT\n \"Industry\",\n 1.0 + 0.95 * (MAX(\"n\") - 1) AS \"pos\",\n CAST(1.0 + 0.95 * (MAX(\"n\") - 1) AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + 0.95 * (MAX(\"n\") - 1) AS INTEGER) +\n CASE\n WHEN (1.0 + 0.95 * (MAX(\"n\") - 1)) > CAST(1.0 + 0.95 * (MAX(\"n\") - 1) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"Industry\"\n HAVING MAX(\"n\") >= 5\n)\nSELECT\n b.\"Industry\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END) +\n (b.\"pos\" - b.\"lower_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"measure_value\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"measure_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"Industry\" = b.\"Industry\"\nGROUP BY\n b.\"Industry\",\n b.\"pos\",\n b.\"lower_rn\",\n b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Industry\\\"\\n ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Industry\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Industry\\\" IS NOT NULL\\n AND \\\"Meetings_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Meetings_Per_Week\\\") <> ''\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n 1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) +\\n CASE\\n WHEN (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) > CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Industry\\\"\\n HAVING MAX(\\\"n\\\") >= 5\\n)\\nSELECT\\n b.\\\"Industry\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lower_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"Industry\\\" = b.\\\"Industry\\\"\\nGROUP BY\\n b.\\\"Industry\\\",\\n b.\\\"pos\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Industry\", \"percentile_measure\"], \"rows\": [{\"Industry\": \"Manufacturing\", \"percentile_measure\": 14.0}, {\"Industry\": \"Media\", \"percentile_measure\": 13.450000000000003}, {\"Industry\": \"Education\", \"percentile_measure\": 13.0}, {\"Industry\": \"Technology\", \"percentile_measure\": 13.0}, {\"Industry\": \"Healthcare\", \"percentile_measure\": 12.799999999999983}, {\"Industry\": \"Retail\", \"percentile_measure\": 12.75}, {\"Industry\": \"Consulting\", \"percentile_measure\": 12.649999999999991}, {\"Industry\": \"Finance\", \"percentile_measure\": 12.0}, {\"Industry\": \"Government\", \"percentile_measure\": 12.0}, {\"Industry\": \"Non-profit\", \"percentile_measure\": 12.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eeacf2366d5df6d336ba8407ed5af014eb4ae74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:01:45.215571+00:00", + "ended_at": "2026-05-19T16:02:42.056810+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_e020021a868a8665", + "problem_id": "v2p_m1_24753dfab6ed580c", + "dataset_id": "m1", + "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=Industry, measure_col=Meetings_Per_Week.", + "bindings": { + "group_col": "Industry", + "measure_col": "Meetings_Per_Week", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 9.0, + "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=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "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_a/m1/sql/v2q_m1_e020021a868a8665.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e020021a868a8665", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 3486, + "total_tokens": 20209, + "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": 55824.43, + "sql_execution_elapsed_ms_total": 8.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/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_a/m1/artifacts/v2q_m1_e020021a868a8665/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af7f81bbc726ccb529c9055840163d85e403403c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:48.579714+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": 3361.46, "started_at": "2026-05-19T16:01:45.217467+00:00", "ended_at": "2026-05-19T16:01:48.578973+00:00", "prompt_metrics": {"chars": 16516, "bytes_utf8": 16516, "lines": 456, "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-c432-7ba1-9283-4901b7500dff\"}\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": "2026-05-19T16:02:42.045823+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": 52462.97, "started_at": "2026-05-19T16:01:49.581959+00:00", "ended_at": "2026-05-19T16:02:42.044983+00:00", "prompt_metrics": {"chars": 16516, "bytes_utf8": 16516, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1918, "bytes_utf8": 1918, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16723, "cached_input_tokens": 12032, "output_tokens": 3486, "reasoning_output_tokens": 2847}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n CAST(\\\"Meetings_Per_Week\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Industry\\\"\\n ORDER BY CAST(\\\"Meetings_Per_Week\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Industry\\\"\\n ) AS \\\"n\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Industry\\\" IS NOT NULL\\n AND \\\"Meetings_Per_Week\\\" IS NOT NULL\\n AND TRIM(\\\"Meetings_Per_Week\\\") <> ''\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Industry\\\",\\n 1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) +\\n CASE\\n WHEN (1.0 + 0.95 * (MAX(\\\"n\\\") - 1)) > CAST(1.0 + 0.95 * (MAX(\\\"n\\\") - 1) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"Industry\\\"\\n HAVING MAX(\\\"n\\\") >= 5\\n)\\nSELECT\\n b.\\\"Industry\\\",\\n CASE\\n WHEN b.\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82dadfc31b8fe9a185537fdbb04aa4d5e948fb6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e020021a868a8665", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 3486, + "total_tokens": 20209, + "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": 55824.43, + "sql_execution_elapsed_ms_total": 8.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e020021a868a8665/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_a/m1/artifacts/v2q_m1_e63bd12587827a46/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8830c71d71fc1dca7bafe1ef6b6692ea6679dc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/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=Has_Children, measure_col=Productivity_Score. +Result preview: [{"Has_Children": "No", "percentile_measure": 98.0}, {"Has_Children": "Yes", "percentile_measure": 98.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb7ef7d715d7d97d9fd416490ed91c5be9b46f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/generated_sql.sql @@ -0,0 +1,74 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e63bd12587827a46 +-- problem_id: v2p_m1_816e2b36eccf8ba6 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Has_Children", + CAST("Productivity_Score" AS REAL) AS "measure" + FROM "m1" + WHERE "Has_Children" IS NOT NULL + AND "Productivity_Score" IS NOT NULL +), +"ordered" AS ( + SELECT + "Has_Children", + "measure", + ROW_NUMBER() OVER ( + PARTITION BY "Has_Children" + ORDER BY "measure" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Has_Children" + ) AS "cnt" + FROM "base" +), +"percentile_pos" AS ( + SELECT DISTINCT + "Has_Children", + "cnt", + (1.0 + ("cnt" - 1) * 0.95) AS "pos" + FROM "ordered" +), +"bounds" AS ( + SELECT + "Has_Children", + "cnt", + "pos", + CAST("pos" AS INTEGER) AS "lo_rn", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END AS "hi_rn" + FROM "percentile_pos" +) +SELECT + b."Has_Children", + CASE + WHEN b."lo_rn" = b."hi_rn" THEN MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + ELSE + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + + (b."pos" - b."lo_rn") * ( + MAX(CASE WHEN o."rn" = b."hi_rn" THEN o."measure" END) - + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + ) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Has_Children" = b."Has_Children" +GROUP BY + b."Has_Children", + b."cnt", + b."pos", + b."lo_rn", + b."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62350d8870f504e4dd52900373fd8f72d1709e86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/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 \"base\" AS (\n SELECT\n \"Has_Children\",\n CAST(\"Productivity_Score\" AS REAL) AS \"measure\"\n FROM \"m1\"\n WHERE \"Has_Children\" IS NOT NULL\n AND \"Productivity_Score\" IS NOT NULL\n),\n\"ordered\" AS (\n SELECT\n \"Has_Children\",\n \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"Has_Children\"\n ORDER BY \"measure\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"Has_Children\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"percentile_pos\" AS (\n SELECT DISTINCT\n \"Has_Children\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n \"Has_Children\",\n \"cnt\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"percentile_pos\"\n)\nSELECT\n b.\"Has_Children\",\n CASE\n WHEN b.\"lo_rn\" = b.\"hi_rn\" THEN MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure\" END) +\n (b.\"pos\" - b.\"lo_rn\") * (\n MAX(CASE WHEN o.\"rn\" = b.\"hi_rn\" THEN o.\"measure\" END) -\n MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"Has_Children\" = b.\"Has_Children\"\nGROUP BY\n b.\"Has_Children\",\n b.\"cnt\",\n b.\"pos\",\n b.\"lo_rn\",\n b.\"hi_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n CAST(\\\"Productivity_Score\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Has_Children\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"percentile_pos\\\" AS (\\n SELECT DISTINCT\\n \\\"Has_Children\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"percentile_pos\\\"\\n)\\nSELECT\\n b.\\\"Has_Children\\\",\\n CASE\\n WHEN b.\\\"lo_rn\\\" = b.\\\"hi_rn\\\" THEN MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure\\\" END) +\\n (b.\\\"pos\\\" - b.\\\"lo_rn\\\") * (\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"hi_rn\\\" THEN o.\\\"measure\\\" END) -\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"Has_Children\\\" = b.\\\"Has_Children\\\"\\nGROUP BY\\n b.\\\"Has_Children\\\",\\n b.\\\"cnt\\\",\\n b.\\\"pos\\\",\\n b.\\\"lo_rn\\\",\\n b.\\\"hi_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"Has_Children\", \"percentile_measure\"], \"rows\": [{\"Has_Children\": \"No\", \"percentile_measure\": 98.0}, {\"Has_Children\": \"Yes\", \"percentile_measure\": 98.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..babfac88afa2954afea03aa26601b60865dcd18e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:56:38.457872+00:00", + "ended_at": "2026-05-19T15:56:58.564118+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_e63bd12587827a46", + "problem_id": "v2p_m1_816e2b36eccf8ba6", + "dataset_id": "m1", + "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=Has_Children, measure_col=Productivity_Score.", + "bindings": { + "group_col": "Has_Children", + "measure_col": "Productivity_Score", + "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": 98.0, + "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_a/m1/sql/v2q_m1_e63bd12587827a46.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e63bd12587827a46", + "api_calls": 0, + "input_tokens": 16725, + "cached_input_tokens": 15744, + "output_tokens": 1124, + "total_tokens": 17849, + "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": 20089.83, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/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_a/m1/artifacts/v2q_m1_e63bd12587827a46/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd9e05cedb740be11b87644e9621c67ab0ef053a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:58.551153+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": 20089.83, "started_at": "2026-05-19T15:56:38.460068+00:00", "ended_at": "2026-05-19T15:56:58.549940+00:00", "prompt_metrics": {"chars": 16525, "bytes_utf8": 16525, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 1855, "bytes_utf8": 1855, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16725, "cached_input_tokens": 15744, "output_tokens": 1124, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n CAST(\\\"Productivity_Score\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Has_Children\\\" IS NOT NULL\\n AND \\\"Productivity_Score\\\" IS NOT NULL\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ORDER BY \\\"measure\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"Has_Children\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"percentile_pos\\\" AS (\\n SELECT DISTINCT\\n \\\"Has_Children\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"Has_Children\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"percentile_pos\\\"\\n)\\nSELECT\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8cacb06970e900952d6cb8679bd6f022f9418704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e63bd12587827a46", + "api_calls": 0, + "input_tokens": 16725, + "cached_input_tokens": 15744, + "output_tokens": 1124, + "total_tokens": 17849, + "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": 20089.83, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e63bd12587827a46/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_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..818ae503a0d2da88ec255bc42b71b1b21b4ca36b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/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=Department, measure_col=Task_Completion_Rate. +Result preview: [{"Department": "Engineering", "total_measure": 38249.0}, {"Department": "Sales", "total_measure": 16275.7}, {"Department": "Marketing", "total_measure": 14651.8}, {"Department": "Operations", "total_measure": 11219.7}, {"Department": "Customer Success", "total_measure": 9490.1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..58fbbaa30546a84e1c00b791f0ac8f1fdb07b721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e774d1fbfa96cb3f +-- problem_id: v2p_m1_908006d22d7bef15 +-- realization_mode: agent +-- source_kind: agent +SELECT "Department", SUM(CAST("Task_Completion_Rate" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Department" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b70abd7d3ff759824104b0a57262d0a35fe46146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/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 \"Department\", SUM(CAST(\"Task_Completion_Rate\" AS REAL)) AS \"total_measure\"\nFROM \"m1\"\nGROUP BY \"Department\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Department\\\", SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"Department\", \"total_measure\"], \"rows\": [{\"Department\": \"Engineering\", \"total_measure\": 38249.0}, {\"Department\": \"Sales\", \"total_measure\": 16275.7}, {\"Department\": \"Marketing\", \"total_measure\": 14651.8}, {\"Department\": \"Operations\", \"total_measure\": 11219.7}, {\"Department\": \"Customer Success\", \"total_measure\": 9490.1}, {\"Department\": \"Finance\", \"total_measure\": 9181.5}, {\"Department\": \"HR\", \"total_measure\": 8369.6}, {\"Department\": \"Product\", \"total_measure\": 6606.6}, {\"Department\": \"Design\", \"total_measure\": 5126.3}, {\"Department\": \"Data Science\", \"total_measure\": 4590.4}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..af80763de7efbd29f20e517bf6eb26b3a3e10f12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:30:02.012573+00:00", + "ended_at": "2026-05-19T15:30:15.210965+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_e774d1fbfa96cb3f", + "problem_id": "v2p_m1_908006d22d7bef15", + "dataset_id": "m1", + "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=Department, measure_col=Task_Completion_Rate.", + "bindings": { + "group_col": "Department", + "measure_col": "Task_Completion_Rate", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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_a/m1/sql/v2q_m1_e774d1fbfa96cb3f.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e774d1fbfa96cb3f", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 262, + "total_tokens": 16947, + "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": 13193.89, + "sql_execution_elapsed_ms_total": 1.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/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_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b2a56e77c691a96d93577fa87e41d38b48331de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:15.208453+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": 13193.89, "started_at": "2026-05-19T15:30:02.013752+00:00", "ended_at": "2026-05-19T15:30:15.207663+00:00", "prompt_metrics": {"chars": 16345, "bytes_utf8": 16345, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16685, "cached_input_tokens": 12032, "output_tokens": 262, "reasoning_output_tokens": 156}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"Department\\\", SUM(CAST(\\\"Task_Completion_Rate\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Department\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"Department\\\" and measure_col=\\\"Task_Completion_Rate\\\". CAST to REAL because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5f434060c4df1e1561d992dbcdb91c436b44ecd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_e774d1fbfa96cb3f", + "api_calls": 0, + "input_tokens": 16685, + "cached_input_tokens": 12032, + "output_tokens": 262, + "total_tokens": 16947, + "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": 13193.89, + "sql_execution_elapsed_ms_total": 1.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_e774d1fbfa96cb3f/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_a/m1/artifacts/v2q_m1_eaa2a0e330571993/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a6afdcc196329d1efcaf5148fb0317f675a1442 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/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=Work_Life_Balance, condition_col=Home_Office_Quality. +Result preview: [{"Work_Life_Balance": "4", "condition_rate": 0.3712121212121212}, {"Work_Life_Balance": "8", "condition_rate": 0.3317972350230415}, {"Work_Life_Balance": "2", "condition_rate": 0.32608695652173914}, {"Work_Life_Balance": "3", "condition_rate": 0.3076923076923077}, {"Work_Life_Balance": "7", "condition_rate": 0.3046594982078853}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9d2f3fa1755dbe48358443fe187590851acf06d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_eaa2a0e330571993 +-- problem_id: v2p_m1_45928a85bd92e1ac +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", + AVG(CASE WHEN "Home_Office_Quality" = 'Average' THEN 1.0 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..520356f8e09fbf0b52f4bf5bb1be3cde36b64b8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/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 \"Work_Life_Balance\",\n AVG(CASE WHEN \"Home_Office_Quality\" = 'Average' THEN 1.0 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Work_Life_Balance\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Work_Life_Balance\\\",\\n AVG(CASE WHEN \\\"Home_Office_Quality\\\" = 'Average' THEN 1.0 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Work_Life_Balance\", \"condition_rate\"], \"rows\": [{\"Work_Life_Balance\": \"4\", \"condition_rate\": 0.3712121212121212}, {\"Work_Life_Balance\": \"8\", \"condition_rate\": 0.3317972350230415}, {\"Work_Life_Balance\": \"2\", \"condition_rate\": 0.32608695652173914}, {\"Work_Life_Balance\": \"3\", \"condition_rate\": 0.3076923076923077}, {\"Work_Life_Balance\": \"7\", \"condition_rate\": 0.3046594982078853}, {\"Work_Life_Balance\": \"10\", \"condition_rate\": 0.3026315789473684}, {\"Work_Life_Balance\": \"6\", \"condition_rate\": 0.29042904290429045}, {\"Work_Life_Balance\": \"5\", \"condition_rate\": 0.27835051546391754}, {\"Work_Life_Balance\": \"9\", \"condition_rate\": 0.25384615384615383}, {\"Work_Life_Balance\": \"1\", \"condition_rate\": 0.15625}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1534c3c96cbd6b1d009f78d7931c21a0c60bb332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:03:58.917814+00:00", + "ended_at": "2026-05-19T16:04:10.840216+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_eaa2a0e330571993", + "problem_id": "v2p_m1_45928a85bd92e1ac", + "dataset_id": "m1", + "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=Work_Life_Balance, condition_col=Home_Office_Quality.", + "bindings": { + "group_col": "Work_Life_Balance", + "condition_col": "Home_Office_Quality", + "condition_value": "Average", + "positive_value": "Good", + "negative_value": "Average", + "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": 7.0, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eaa2a0e330571993.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eaa2a0e330571993", + "api_calls": 0, + "input_tokens": 16755, + "cached_input_tokens": 12032, + "output_tokens": 478, + "total_tokens": 17233, + "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": 11916.79, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/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_a/m1/artifacts/v2q_m1_eaa2a0e330571993/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e8c9d5eeb7e8255abc4cc265d4cac7196cc9a9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:10.837609+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": 11916.79, "started_at": "2026-05-19T16:03:58.919129+00:00", "ended_at": "2026-05-19T16:04:10.835949+00:00", "prompt_metrics": {"chars": 16615, "bytes_utf8": 16615, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 436, "bytes_utf8": 436, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16755, "cached_input_tokens": 12032, "output_tokens": 478, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Work_Life_Balance\\\",\\n AVG(CASE WHEN \\\"Home_Office_Quality\\\" = 'Average' THEN 1.0 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template to compute the within-group proportion of rows where Home_Office_Quality is 'Average' for each Work_Life_Balance value.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..78f3dd58b896eb980cb71f8f6d18064bd293186b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eaa2a0e330571993", + "api_calls": 0, + "input_tokens": 16755, + "cached_input_tokens": 12032, + "output_tokens": 478, + "total_tokens": 17233, + "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": 11916.79, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eaa2a0e330571993/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_a/m1/artifacts/v2q_m1_eab928ed73fc2917/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..415693d04373ab9bdd7c214f10cf5ec0695867f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Task_Completion_Rate. +Result preview: [{"Task_Completion_Rate": 100.0}, {"Task_Completion_Rate": 100.0}, {"Task_Completion_Rate": 100.0}, {"Task_Completion_Rate": 100.0}, {"Task_Completion_Rate": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..25da449510dcc25c93880f81dfc414f198193c68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_eab928ed73fc2917 +-- problem_id: v2p_m1_738e8c72fe109613 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("Task_Completion_Rate" AS REAL) AS "Task_Completion_Rate", + NTILE(10) OVER (ORDER BY CAST("Task_Completion_Rate" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Task_Completion_Rate" IS NOT NULL +) +SELECT "Task_Completion_Rate" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "Task_Completion_Rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb6acbfd2bd4986803e8520fcd5b148d125b76c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"Task_Completion_Rate\" AS REAL) AS \"Task_Completion_Rate\",\n NTILE(10) OVER (ORDER BY CAST(\"Task_Completion_Rate\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m1\"\n WHERE \"Task_Completion_Rate\" IS NOT NULL\n)\nSELECT \"Task_Completion_Rate\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"Task_Completion_Rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"Task_Completion_Rate\\\" AS REAL) AS \\\"Task_Completion_Rate\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Task_Completion_Rate\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Task_Completion_Rate\\\" IS NOT NULL\\n)\\nSELECT \\\"Task_Completion_Rate\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Task_Completion_Rate\\\" DESC;\", \"columns\": [\"Task_Completion_Rate\"], \"rows\": [{\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}, {\"Task_Completion_Rate\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d7b1a951c71cc4e3326bc69e7aae66950f72d0c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:44:51.682772+00:00", + "ended_at": "2026-05-19T15:45:06.990810+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_eab928ed73fc2917", + "problem_id": "v2p_m1_738e8c72fe109613", + "dataset_id": "m1", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Task_Completion_Rate.", + "bindings": { + "measure_col": "Task_Completion_Rate", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 96.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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_a/m1/sql/v2q_m1_eab928ed73fc2917.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eab928ed73fc2917", + "api_calls": 0, + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 590, + "total_tokens": 17330, + "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": 15300.99, + "sql_execution_elapsed_ms_total": 2.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/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_a/m1/artifacts/v2q_m1_eab928ed73fc2917/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46783d10fe802851b46c3663419ac9722e1db780 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:06.986462+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": 15300.99, "started_at": "2026-05-19T15:44:51.684589+00:00", "ended_at": "2026-05-19T15:45:06.985607+00:00", "prompt_metrics": {"chars": 16512, "bytes_utf8": 16512, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16740, "cached_input_tokens": 12032, "output_tokens": 590, "reasoning_output_tokens": 416}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"Task_Completion_Rate\\\" AS REAL) AS \\\"Task_Completion_Rate\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Task_Completion_Rate\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m1\\\"\\n WHERE \\\"Task_Completion_Rate\\\" IS NOT NULL\\n)\\nSELECT \\\"Task_Completion_Rate\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"Task_Completion_Rate\\\" DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with \\\"Task_Completion_Rate\\\" as the measure column. Cast to REAL because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f865ebfd0aa211a810397077966ae64a8c86ac24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eab928ed73fc2917", + "api_calls": 0, + "input_tokens": 16740, + "cached_input_tokens": 12032, + "output_tokens": 590, + "total_tokens": 17330, + "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": 15300.99, + "sql_execution_elapsed_ms_total": 2.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eab928ed73fc2917/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_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f8955e916936350086e1f5dd437157e08375923 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/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=Work_Life_Balance. +Result preview: [{"Work_Life_Balance": "6", "row_count": 303}, {"Work_Life_Balance": "7", "row_count": 279}, {"Work_Life_Balance": "8", "row_count": 217}, {"Work_Life_Balance": "5", "row_count": 194}, {"Work_Life_Balance": "4", "row_count": 132}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..85eed07cfcc1fdf8317c95dcdf6fb57ed918eb6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_eb0b2e475105a31c +-- problem_id: v2p_m1_a04719b2c50e47e2 +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..512bb503f9246a8415d9c5dad4169a62950f5e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/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 \"Work_Life_Balance\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nGROUP BY \"Work_Life_Balance\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Work_Life_Balance\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Work_Life_Balance\", \"row_count\"], \"rows\": [{\"Work_Life_Balance\": \"6\", \"row_count\": 303}, {\"Work_Life_Balance\": \"7\", \"row_count\": 279}, {\"Work_Life_Balance\": \"8\", \"row_count\": 217}, {\"Work_Life_Balance\": \"5\", \"row_count\": 194}, {\"Work_Life_Balance\": \"4\", \"row_count\": 132}, {\"Work_Life_Balance\": \"9\", \"row_count\": 130}, {\"Work_Life_Balance\": \"3\", \"row_count\": 91}, {\"Work_Life_Balance\": \"10\", \"row_count\": 76}, {\"Work_Life_Balance\": \"2\", \"row_count\": 46}, {\"Work_Life_Balance\": \"1\", \"row_count\": 32}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7f85c13b2e2ca52beac49cdeef4f7f719242c116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:32:27.035796+00:00", + "ended_at": "2026-05-19T15:32:51.764221+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_eb0b2e475105a31c", + "problem_id": "v2p_m1_a04719b2c50e47e2", + "dataset_id": "m1", + "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=Work_Life_Balance.", + "bindings": { + "group_col": "Work_Life_Balance", + "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": 41.0, + "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_a/m1/sql/v2q_m1_eb0b2e475105a31c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eb0b2e475105a31c", + "api_calls": 0, + "input_tokens": 16660, + "cached_input_tokens": 12032, + "output_tokens": 431, + "total_tokens": 17091, + "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": 24720.67, + "sql_execution_elapsed_ms_total": 1.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/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_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d592def4588d41c6283ec04292862c7635cc626 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:51.761504+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": 24720.67, "started_at": "2026-05-19T15:32:27.039250+00:00", "ended_at": "2026-05-19T15:32:51.759963+00:00", "prompt_metrics": {"chars": 16246, "bytes_utf8": 16246, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 310, "bytes_utf8": 310, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16660, "cached_input_tokens": 12032, "output_tokens": 431, "reasoning_output_tokens": 341}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Work_Life_Balance\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"Work_Life_Balance\\\" as the bound category column on the single table \\\"m1\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c30a33cef3e1f042187e00705e804e5acfc2eaff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eb0b2e475105a31c", + "api_calls": 0, + "input_tokens": 16660, + "cached_input_tokens": 12032, + "output_tokens": 431, + "total_tokens": 17091, + "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": 24720.67, + "sql_execution_elapsed_ms_total": 1.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eb0b2e475105a31c/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_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..69ef377587acc281651a68a44cec007e4bea35e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/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=Manager_Support_Level, measure_col=Meetings_Per_Week. +Result preview: [{"Manager_Support_Level": "Moderate", "group_value": 4342.0}, {"Manager_Support_Level": "High", "group_value": 4089.0}, {"Manager_Support_Level": "Very High", "group_value": 1978.0}, {"Manager_Support_Level": "Low", "group_value": 1399.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c091d57d400d013b444cc25f022657e0ee8c21d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_ebe2f831ba81a22e +-- problem_id: v2p_m1_61c86b57800495e1 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Manager_Support_Level", + SUM(CAST("Meetings_Per_Week" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Manager_Support_Level" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Manager_Support_Level", + 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_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a23d5cede1d18a6b74ac424b776fdf95f044058d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"Manager_Support_Level\",\n SUM(CAST(\"Meetings_Per_Week\" AS REAL)) AS \"group_value\"\n FROM \"m1\"\n GROUP BY \"Manager_Support_Level\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"Manager_Support_Level\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Manager_Support_Level\\\",\\n SUM(CAST(\\\"Meetings_Per_Week\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Manager_Support_Level\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"Manager_Support_Level\", \"group_value\"], \"rows\": [{\"Manager_Support_Level\": \"Moderate\", \"group_value\": 4342.0}, {\"Manager_Support_Level\": \"High\", \"group_value\": 4089.0}, {\"Manager_Support_Level\": \"Very High\", \"group_value\": 1978.0}, {\"Manager_Support_Level\": \"Low\", \"group_value\": 1399.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..486b705ef4edfb32ad6af535ef100df2a6441ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:50:04.083721+00:00", + "ended_at": "2026-05-19T15:50:14.678639+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_ebe2f831ba81a22e", + "problem_id": "v2p_m1_61c86b57800495e1", + "dataset_id": "m1", + "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=Manager_Support_Level, measure_col=Meetings_Per_Week.", + "bindings": { + "group_col": "Manager_Support_Level", + "measure_col": "Meetings_Per_Week", + "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": 10.0, + "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_a/m1/sql/v2q_m1_ebe2f831ba81a22e.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ebe2f831ba81a22e", + "api_calls": 0, + "input_tokens": 16829, + "cached_input_tokens": 12032, + "output_tokens": 487, + "total_tokens": 17316, + "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": 10586.68, + "sql_execution_elapsed_ms_total": 2.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/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_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11784965661f4373f6743c6a7cc1025e7b849ebc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:14.673517+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": 10586.68, "started_at": "2026-05-19T15:50:04.085258+00:00", "ended_at": "2026-05-19T15:50:14.671976+00:00", "prompt_metrics": {"chars": 16917, "bytes_utf8": 16917, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 745, "bytes_utf8": 745, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16829, "cached_input_tokens": 12032, "output_tokens": 487, "reasoning_output_tokens": 269}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Manager_Support_Level\\\",\\n SUM(CAST(\\\"Meetings_Per_Week\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Manager_Support_Level\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Manager_Support_Level\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"Manager_Support_Level\\\" and measure_col=\\\"Meetings_Per_Week\\\". Cast \\\"Meetings_Per_Week\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a8100a38f991412c104b4350cd60d57c914e2a65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ebe2f831ba81a22e", + "api_calls": 0, + "input_tokens": 16829, + "cached_input_tokens": 12032, + "output_tokens": 487, + "total_tokens": 17316, + "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": 10586.68, + "sql_execution_elapsed_ms_total": 2.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ebe2f831ba81a22e/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_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0ac3c2da66ce53e04e06d41979f7651d2c2dd75f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:05:32.880048+00:00", + "ended_at": "2026-05-19T16:05:42.122446+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_ed1ba06fea9912a0", + "problem_id": "v2p_m1_2fa0c48ca419bd09", + "dataset_id": "m1", + "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=Marital_Status, condition_col=WFH_Days_Per_Week.", + "bindings": { + "group_col": "Marital_Status", + "condition_col": "WFH_Days_Per_Week", + "condition_value": "4", + "positive_value": "4", + "negative_value": "3", + "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": 96.225, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..685b23350ddea444a34bb69a42ef33fc8b6db9eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ed1ba06fea9912a0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:37.952552+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": 5069.47, "started_at": "2026-05-19T16:05:32.882305+00:00", "ended_at": "2026-05-19T16:05:37.951804+00:00", "prompt_metrics": {"chars": 16600, "bytes_utf8": 16600, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-3d61-7652-96d0-0896e9901f39\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:42.122359+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": 3167.78, "started_at": "2026-05-19T16:05:38.953811+00:00", "ended_at": "2026-05-19T16:05:42.121624+00:00", "prompt_metrics": {"chars": 16600, "bytes_utf8": 16600, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-550a-7413-88b9-b08a141fc195\"}\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_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f2c37f9aca757d7ab8ebb5ed757ec713fb96c26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Manager_Support_Level, condition_col=Location_Type. +Result preview: [{"Manager_Support_Level": "Low", "condition_rate": 0.46551724137931033}, {"Manager_Support_Level": "Moderate", "condition_rate": 0.4612546125461255}, {"Manager_Support_Level": "High", "condition_rate": 0.45121951219512196}, {"Manager_Support_Level": "Very Low", "condition_rate": 0.4358974358974359}, {"Manager_Support_Level": "Very High", "condition_rate": 0.3715415019762846}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..87f9cb038cbd11d3c91332939728df1e1b9286f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_eda05bbe275e9b00 +-- problem_id: v2p_m1_cf9dbd9d16546574 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", + AVG(CASE WHEN "Location_Type" = 'Urban' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Manager_Support_Level" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0dd2711f3910764fddccb9c6c36accd79d9bbf89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/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_group_condition_rate\nSELECT \"Manager_Support_Level\",\n AVG(CASE WHEN \"Location_Type\" = 'Urban' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m1\"\nGROUP BY \"Manager_Support_Level\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Manager_Support_Level\\\",\\n AVG(CASE WHEN \\\"Location_Type\\\" = 'Urban' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"Manager_Support_Level\", \"condition_rate\"], \"rows\": [{\"Manager_Support_Level\": \"Low\", \"condition_rate\": 0.46551724137931033}, {\"Manager_Support_Level\": \"Moderate\", \"condition_rate\": 0.4612546125461255}, {\"Manager_Support_Level\": \"High\", \"condition_rate\": 0.45121951219512196}, {\"Manager_Support_Level\": \"Very Low\", \"condition_rate\": 0.4358974358974359}, {\"Manager_Support_Level\": \"Very High\", \"condition_rate\": 0.3715415019762846}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a97aabe5d280561a92f2532a0c8e0eb729193582 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:02:50.703221+00:00", + "ended_at": "2026-05-19T16:03:04.681489+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_eda05bbe275e9b00", + "problem_id": "v2p_m1_cf9dbd9d16546574", + "dataset_id": "m1", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=Manager_Support_Level, condition_col=Location_Type.", + "bindings": { + "group_col": "Manager_Support_Level", + "condition_col": "Location_Type", + "condition_value": "Urban", + "positive_value": "Suburban", + "negative_value": "Urban", + "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": 7.0, + "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=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_a/m1/sql/v2q_m1_eda05bbe275e9b00.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eda05bbe275e9b00", + "api_calls": 0, + "input_tokens": 16747, + "cached_input_tokens": 12032, + "output_tokens": 347, + "total_tokens": 17094, + "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": 12967.49, + "sql_execution_elapsed_ms_total": 2.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/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_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84933fd230d3ec0df0167827b375be94bda55bdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:54.251743+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": 3545.75, "started_at": "2026-05-19T16:02:50.704832+00:00", "ended_at": "2026-05-19T16:02:54.250612+00:00", "prompt_metrics": {"chars": 16615, "bytes_utf8": 16615, "lines": 459, "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-c3d0-7340-86e9-1162dd7d2db2\"}\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": "2026-05-19T16:03:04.676788+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": 9421.74, "started_at": "2026-05-19T16:02:55.253633+00:00", "ended_at": "2026-05-19T16:03:04.675423+00:00", "prompt_metrics": {"chars": 16615, "bytes_utf8": 16615, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 495, "bytes_utf8": 495, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16747, "cached_input_tokens": 12032, "output_tokens": 347, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Manager_Support_Level\\\",\\n AVG(CASE WHEN \\\"Location_Type\\\" = 'Urban' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"Manager_Support_Level\\\" and condition_col=\\\"Location_Type\\\", measuring the share of rows where Location_Type is 'Urban' within each manager support group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e7db4324fcf891a0aab8f00db50ad523ee9616e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_eda05bbe275e9b00", + "api_calls": 0, + "input_tokens": 16747, + "cached_input_tokens": 12032, + "output_tokens": 347, + "total_tokens": 17094, + "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": 12967.49, + "sql_execution_elapsed_ms_total": 2.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eda05bbe275e9b00/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_a/m1/artifacts/v2q_m1_ee752d22424b17ce/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..22d826333980bd3dcec3d2e748accfe1cd99dd16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/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=Gender, measure_col=Quality_Score. +Result preview: [{"Gender": "Non-binary", "Survey_Month": "2024-04", "total_measure": 1580.0, "share_within_group": 33.87722721327645}, {"Gender": "Female", "Survey_Month": "2024-03", "total_measure": 16319.2, "share_within_group": 26.164723990316013}, {"Gender": "Male", "Survey_Month": "2024-03", "total_measure": 15052.0, "share_within_group": 25.26287522133548}, {"Gender": "Male", "Survey_Month": "2024-02", "total_measure": 14977.8, "share_within_group": 25.138339920948617}, {"Gender": "Female", "Survey_Month": "2024-04", "total_measure": 15538.4, "share_within_group": 24.912860143335845}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ee86675e6a160e1c5c3dd3a012ac961c3d29563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_ee752d22424b17ce +-- problem_id: v2p_m1_2170bc9a3b5a22f1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + strftime('%Y-%m', "Survey_Date") AS "Survey_Month", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure", + SUM(CAST("Quality_Score" AS REAL)) * 100.0 / SUM(SUM(CAST("Quality_Score" AS REAL))) OVER (PARTITION BY "Gender") AS "share_within_group" +FROM "m1" +GROUP BY + "Gender", + strftime('%Y-%m', "Survey_Date") +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..432edb3f29364bea6b0041635d358adc8fdf4658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/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 \"Gender\",\n strftime('%Y-%m', \"Survey_Date\") AS \"Survey_Month\",\n SUM(CAST(\"Quality_Score\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Quality_Score\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Quality_Score\" AS REAL))) OVER (PARTITION BY \"Gender\") AS \"share_within_group\"\nFROM \"m1\"\nGROUP BY\n \"Gender\",\n strftime('%Y-%m', \"Survey_Date\")\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Gender\\\",\\n strftime('%Y-%m', \\\"Survey_Date\\\") AS \\\"Survey_Month\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Quality_Score\\\" AS REAL))) OVER (PARTITION BY \\\"Gender\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY\\n \\\"Gender\\\",\\n strftime('%Y-%m', \\\"Survey_Date\\\")\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"Gender\", \"Survey_Month\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Gender\": \"Non-binary\", \"Survey_Month\": \"2024-04\", \"total_measure\": 1580.0, \"share_within_group\": 33.87722721327645}, {\"Gender\": \"Female\", \"Survey_Month\": \"2024-03\", \"total_measure\": 16319.2, \"share_within_group\": 26.164723990316013}, {\"Gender\": \"Male\", \"Survey_Month\": \"2024-03\", \"total_measure\": 15052.0, \"share_within_group\": 25.26287522133548}, {\"Gender\": \"Male\", \"Survey_Month\": \"2024-02\", \"total_measure\": 14977.8, \"share_within_group\": 25.138339920948617}, {\"Gender\": \"Female\", \"Survey_Month\": \"2024-04\", \"total_measure\": 15538.4, \"share_within_group\": 24.912860143335845}, {\"Gender\": \"Male\", \"Survey_Month\": \"2024-04\", \"total_measure\": 13836.7, \"share_within_group\": 23.223148124837408}, {\"Gender\": \"Female\", \"Survey_Month\": \"2024-02\", \"total_measure\": 14086.8, \"share_within_group\": 22.585496464703148}, {\"Gender\": \"Non-binary\", \"Survey_Month\": \"2024-03\", \"total_measure\": 1006.3, \"share_within_group\": 21.576363129569675}, {\"Gender\": \"Non-binary\", \"Survey_Month\": \"2024-02\", \"total_measure\": 924.3, \"share_within_group\": 19.818177919766722}, {\"Gender\": \"Non-binary\", \"Survey_Month\": \"2024-01\", \"total_measure\": 694.3, \"share_within_group\": 14.886682819099896}, {\"Gender\": \"Male\", \"Survey_Month\": \"2024-01\", \"total_measure\": 8421.1, \"share_within_group\": 14.133749569916837}, {\"Gender\": \"Female\", \"Survey_Month\": \"2024-01\", \"total_measure\": 8521.8, \"share_within_group\": 13.663080598355004}, {\"Gender\": \"Female\", \"Survey_Month\": \"2024-05\", \"total_measure\": 7904.8, \"share_within_group\": 12.673838803289991}, {\"Gender\": \"Male\", \"Survey_Month\": \"2024-05\", \"total_measure\": 7293.9, \"share_within_group\": 12.241887162961657}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6fbe649789a02b3232d6421b424184e02fe47df9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:39:27.274966+00:00", + "ended_at": "2026-05-19T15:39:59.042223+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_ee752d22424b17ce", + "problem_id": "v2p_m1_2170bc9a3b5a22f1", + "dataset_id": "m1", + "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=Gender, measure_col=Quality_Score.", + "bindings": { + "group_col": "Gender", + "measure_col": "Quality_Score", + "item_col": "Survey_Date", + "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": 96.225, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "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_a/m1/sql/v2q_m1_ee752d22424b17ce.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ee752d22424b17ce", + "api_calls": 0, + "input_tokens": 16800, + "cached_input_tokens": 15744, + "output_tokens": 2016, + "total_tokens": 18816, + "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": 31759.06, + "sql_execution_elapsed_ms_total": 3.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/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_a/m1/artifacts/v2q_m1_ee752d22424b17ce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0bc745a84dc97d41e59c3d5e78af77d60f2f5350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:59.036681+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": 31759.06, "started_at": "2026-05-19T15:39:27.276406+00:00", "ended_at": "2026-05-19T15:39:59.035491+00:00", "prompt_metrics": {"chars": 16739, "bytes_utf8": 16739, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 673, "bytes_utf8": 673, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16800, "cached_input_tokens": 15744, "output_tokens": 2016, "reasoning_output_tokens": 1817}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"Gender\\\",\\n strftime('%Y-%m', \\\"Survey_Date\\\") AS \\\"Survey_Month\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Quality_Score\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Quality_Score\\\" AS REAL))) OVER (PARTITION BY \\\"Gender\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY\\n \\\"Gender\\\",\\n strftime('%Y-%m', \\\"Survey_Date\\\")\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned within-group share template with \\\"Gender\\\" as the group, monthly buckets from \\\"Survey_Date\\\" as the item, and casts \\\"Quality_Score\\\" from TEXT to REAL before aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3323eb13771be43a7967703520803fa9ec4cef37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_ee752d22424b17ce", + "api_calls": 0, + "input_tokens": 16800, + "cached_input_tokens": 15744, + "output_tokens": 2016, + "total_tokens": 18816, + "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": 31759.06, + "sql_execution_elapsed_ms_total": 3.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_ee752d22424b17ce/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_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6a86684e989fba5ea53278439bd4792c548ca946 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:59.843819+00:00", + "ended_at": "2026-05-19T16:07:06.612168+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_eeafb0b1bd2aae82", + "problem_id": "v2p_m1_88398d0baa09ec91", + "dataset_id": "m1", + "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=Education_Level.", + "bindings": { + "group_col": "Education_Level", + "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": 95.0, + "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", + "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_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..919edec879d1c06342bcb67220ef46815a76cc1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_eeafb0b1bd2aae82/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:02.602057+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": 2755.54, "started_at": "2026-05-19T16:06:59.845725+00:00", "ended_at": "2026-05-19T16:07:02.601294+00:00", "prompt_metrics": {"chars": 16321, "bytes_utf8": 16321, "lines": 454, "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\":\"019e40fd-911a-77d2-aad6-91109d0cb2f7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:06.612079+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": 3008.14, "started_at": "2026-05-19T16:07:03.603069+00:00", "ended_at": "2026-05-19T16:07:06.611250+00:00", "prompt_metrics": {"chars": 16321, "bytes_utf8": 16321, "lines": 454, "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\":\"019e40fd-9fbe-77c1-abc7-f176b02edefb\"}\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_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fea425fccc9d4672d8e782ae89b64bf3acbe6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/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=Department, measure_col=Work_Hours_Per_Week. +Result preview: [{"Department": "Engineering", "group_value": 19099.0}, {"Department": "Sales", "group_value": 8296.0}, {"Department": "Marketing", "group_value": 7371.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4335880663b1f12961c67904562bdb420a67835a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_f0531f50454c2cb0 +-- problem_id: v2p_m1_741b9cd9327bae37 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Department", + SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Department" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Department", + 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_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..997d5ef1261d56e9cca1b86e26b1ba62a182acc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH \"grouped\" AS (\n SELECT\n \"Department\",\n SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) AS \"group_value\"\n FROM \"m1\"\n GROUP BY \"Department\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"Department\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Department\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"Department\", \"group_value\"], \"rows\": [{\"Department\": \"Engineering\", \"group_value\": 19099.0}, {\"Department\": \"Sales\", \"group_value\": 8296.0}, {\"Department\": \"Marketing\", \"group_value\": 7371.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0aebe79b5ce7e705aaa7a17e8f4e60ac20d87a09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:47:24.625620+00:00", + "ended_at": "2026-05-19T15:47:37.538716+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_f0531f50454c2cb0", + "problem_id": "v2p_m1_741b9cd9327bae37", + "dataset_id": "m1", + "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=Department, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Department", + "measure_col": "Work_Hours_Per_Week", + "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": 46.0, + "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_a/m1/sql/v2q_m1_f0531f50454c2cb0.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f0531f50454c2cb0", + "api_calls": 0, + "input_tokens": 16825, + "cached_input_tokens": 15744, + "output_tokens": 636, + "total_tokens": 17461, + "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": 12904.68, + "sql_execution_elapsed_ms_total": 1.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/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_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..170ef89b3bca1be3435648318bb8c10d5f4ead5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:37.534913+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": 12904.68, "started_at": "2026-05-19T15:47:24.628533+00:00", "ended_at": "2026-05-19T15:47:37.533273+00:00", "prompt_metrics": {"chars": 16899, "bytes_utf8": 16899, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 703, "bytes_utf8": 703, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16825, "cached_input_tokens": 15744, "output_tokens": 636, "reasoning_output_tokens": 429}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"Department\\\",\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Department\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"Department\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"Department\\\" and measure_col=\\\"Work_Hours_Per_Week\\\". Since the measure column is stored as TEXT in SQLite, it is cast to REAL before aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a943e1e8801d333450a96fd2d92029a51d6ffe54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f0531f50454c2cb0", + "api_calls": 0, + "input_tokens": 16825, + "cached_input_tokens": 15744, + "output_tokens": 636, + "total_tokens": 17461, + "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": 12904.68, + "sql_execution_elapsed_ms_total": 1.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f0531f50454c2cb0/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_a/m1/artifacts/v2q_m1_f1db6b76347295cf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e7c6772fefac2587ee5569f213e1cc5807201c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Internet_Speed_Category, measure_col=Efficiency_Rating. +Result preview: [{"Internet_Speed_Category": "Very Fast (100+ Mbps)", "group_value": 62745.1}, {"Internet_Speed_Category": "Fast (50-100 Mbps)", "group_value": 45736.5}, {"Internet_Speed_Category": "Moderate (25-50 Mbps)", "group_value": 20670.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8479befcea583d2754ffc0a7a69117a1c8e93e66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_f1db6b76347295cf +-- problem_id: v2p_m1_e85ba2544c6e3bfb +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Internet_Speed_Category", SUM(CAST("Efficiency_Rating" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Internet_Speed_Category" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Internet_Speed_Category", 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_a/m1/artifacts/v2q_m1_f1db6b76347295cf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f168b0d938f8f6938b1c6de7792414608f25b44e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/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 \"Internet_Speed_Category\", SUM(CAST(\"Efficiency_Rating\" AS REAL)) AS group_value\n FROM \"m1\"\n GROUP BY \"Internet_Speed_Category\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"Internet_Speed_Category\", 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 \\\"Internet_Speed_Category\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Internet_Speed_Category\\\", 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\": [\"Internet_Speed_Category\", \"group_value\"], \"rows\": [{\"Internet_Speed_Category\": \"Very Fast (100+ Mbps)\", \"group_value\": 62745.1}, {\"Internet_Speed_Category\": \"Fast (50-100 Mbps)\", \"group_value\": 45736.5}, {\"Internet_Speed_Category\": \"Moderate (25-50 Mbps)\", \"group_value\": 20670.2}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c633ada571ec307c3118e3851a75de0ccaa1cc03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:49:45.137644+00:00", + "ended_at": "2026-05-19T15:49:55.301471+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_f1db6b76347295cf", + "problem_id": "v2p_m1_e85ba2544c6e3bfb", + "dataset_id": "m1", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=Internet_Speed_Category, measure_col=Efficiency_Rating.", + "bindings": { + "group_col": "Internet_Speed_Category", + "measure_col": "Efficiency_Rating", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 95.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f1db6b76347295cf.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f1db6b76347295cf", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 15744, + "output_tokens": 454, + "total_tokens": 17277, + "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": 10158.99, + "sql_execution_elapsed_ms_total": 1.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/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_a/m1/artifacts/v2q_m1_f1db6b76347295cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7d06ff1e46ae3d11f1abc3a84e694f50dc3250f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:55.298865+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": 10158.99, "started_at": "2026-05-19T15:49:45.138903+00:00", "ended_at": "2026-05-19T15:49:55.297922+00:00", "prompt_metrics": {"chars": 16920, "bytes_utf8": 16920, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16823, "cached_input_tokens": 15744, "output_tokens": 454, "reasoning_output_tokens": 279}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"Internet_Speed_Category\\\", SUM(CAST(\\\"Efficiency_Rating\\\" AS REAL)) AS group_value\\n FROM \\\"m1\\\"\\n GROUP BY \\\"Internet_Speed_Category\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"Internet_Speed_Category\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"Internet_Speed_Category\\\" and measure_col=\\\"Efficiency_Rating\\\". Casted \\\"Efficiency_Rating\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ea47c83b6293ec0b405f3aec19c9226e86b2b1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f1db6b76347295cf", + "api_calls": 0, + "input_tokens": 16823, + "cached_input_tokens": 15744, + "output_tokens": 454, + "total_tokens": 17277, + "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": 10158.99, + "sql_execution_elapsed_ms_total": 1.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f1db6b76347295cf/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_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23eb956f1018c4cb09dfc11f72237b9da479b0b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:10:31.703249+00:00", + "ended_at": "2026-05-19T16:10:38.977481+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_f608bb51497b2d1d", + "problem_id": "v2p_m1_94d75cd25b944d51", + "dataset_id": "m1", + "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=Education_Level, measure_col=Job_Satisfaction.", + "bindings": { + "group_col": "Education_Level", + "measure_col": "Job_Satisfaction", + "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": 100.0, + "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", + "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_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c5599361b9f6c4cac7782669f6f95c78768f6ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f608bb51497b2d1d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:34.614439+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": 2908.81, "started_at": "2026-05-19T16:10:31.704759+00:00", "ended_at": "2026-05-19T16:10:34.613594+00:00", "prompt_metrics": {"chars": 16430, "bytes_utf8": 16430, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-cc97-7501-b73e-0faadc893cb7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:10:38.977386+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": 3360.21, "started_at": "2026-05-19T16:10:35.616242+00:00", "ended_at": "2026-05-19T16:10:38.976499+00:00", "prompt_metrics": {"chars": 16430, "bytes_utf8": 16430, "lines": 456, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-dbde-7273-8059-d8a0ed597505\"}\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_a/m1/artifacts/v2q_m1_f93a2277087a81a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fceb21f4d077f7f3043a65f3c6867966002c024c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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=Manager_Support_Level, condition_col=Location_Type. +Result preview: [{"Manager_Support_Level": "Very High", "condition_rate": 0.5059288537549407}, {"Manager_Support_Level": "High", "condition_rate": 0.43902439024390244}, {"Manager_Support_Level": "Very Low", "condition_rate": 0.4358974358974359}, {"Manager_Support_Level": "Moderate", "condition_rate": 0.4354243542435424}, {"Manager_Support_Level": "Low", "condition_rate": 0.43103448275862066}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9f97f3ebf32005ee2da82e0cfc536fba6ddb5643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_f93a2277087a81a1 +-- problem_id: v2p_m1_17e8e9495dd13b61 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", + AVG(CASE WHEN "Location_Type" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Manager_Support_Level" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4afc8b1b40e47ccdb4e2b9a56a32417b01edd225 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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 \"Manager_Support_Level\",\n AVG(CASE WHEN \"Location_Type\" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m1\"\nGROUP BY \"Manager_Support_Level\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Manager_Support_Level\\\",\\n AVG(CASE WHEN \\\"Location_Type\\\" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"Manager_Support_Level\", \"condition_rate\"], \"rows\": [{\"Manager_Support_Level\": \"Very High\", \"condition_rate\": 0.5059288537549407}, {\"Manager_Support_Level\": \"High\", \"condition_rate\": 0.43902439024390244}, {\"Manager_Support_Level\": \"Very Low\", \"condition_rate\": 0.4358974358974359}, {\"Manager_Support_Level\": \"Moderate\", \"condition_rate\": 0.4354243542435424}, {\"Manager_Support_Level\": \"Low\", \"condition_rate\": 0.43103448275862066}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4a38900897fbe5900a25bb807f33d34ed8bf67d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:02:42.057604+00:00", + "ended_at": "2026-05-19T16:02:50.702140+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_f93a2277087a81a1", + "problem_id": "v2p_m1_17e8e9495dd13b61", + "dataset_id": "m1", + "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=Manager_Support_Level, condition_col=Location_Type.", + "bindings": { + "group_col": "Manager_Support_Level", + "condition_col": "Location_Type", + "condition_value": "Suburban", + "positive_value": "Suburban", + "negative_value": "Urban", + "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": 7.0, + "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=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_a/m1/sql/v2q_m1_f93a2277087a81a1.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f93a2277087a81a1", + "api_calls": 0, + "input_tokens": 16749, + "cached_input_tokens": 12032, + "output_tokens": 280, + "total_tokens": 17029, + "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": 8638.87, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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_a/m1/artifacts/v2q_m1_f93a2277087a81a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b6252db7c5655b5afe05ba936aec560dd19e0ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:50.699121+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": 8638.87, "started_at": "2026-05-19T16:02:42.059297+00:00", "ended_at": "2026-05-19T16:02:50.698191+00:00", "prompt_metrics": {"chars": 16621, "bytes_utf8": 16621, "lines": 459, "estimated_tokens": null}, "response_metrics": {"chars": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16749, "cached_input_tokens": 12032, "output_tokens": 280, "reasoning_output_tokens": 161}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"Manager_Support_Level\\\",\\n AVG(CASE WHEN \\\"Location_Type\\\" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Manager_Support_Level\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col bound to Manager_Support_Level and condition_col bound to Location_Type, measuring the within-group proportion of rows where Location_Type is 'Suburban'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fecac6a551de8afb2830a0ce48c0178b98af2e06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_f93a2277087a81a1", + "api_calls": 0, + "input_tokens": 16749, + "cached_input_tokens": 12032, + "output_tokens": 280, + "total_tokens": 17029, + "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": 8638.87, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f93a2277087a81a1/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_a/m1/artifacts/v2q_m1_f9651081b16bd014/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f9651081b16bd014/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b089a2fd65e82c1ca3f603bc4bceea2ccba3936e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f9651081b16bd014/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:06:08.061245+00:00", + "ended_at": "2026-05-19T16:06:15.683976+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_f9651081b16bd014", + "problem_id": "v2p_m1_9751410709052905", + "dataset_id": "m1", + "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=Stress_Level.", + "bindings": { + "measure_col": "Stress_Level", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "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=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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_a/m1/artifacts/v2q_m1_f9651081b16bd014/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f9651081b16bd014/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ac525b8f9243024a88845433f98f7569d22e141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_f9651081b16bd014/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:11.850861+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": 3787.06, "started_at": "2026-05-19T16:06:08.062963+00:00", "ended_at": "2026-05-19T16:06:11.850055+00:00", "prompt_metrics": {"chars": 16262, "bytes_utf8": 16262, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-c6bd-7b42-9f8f-e662237c94ae\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:15.683857+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": 2830.63, "started_at": "2026-05-19T16:06:12.852209+00:00", "ended_at": "2026-05-19T16:06:15.682877+00:00", "prompt_metrics": {"chars": 16262, "bytes_utf8": 16262, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-d989-71e0-8abc-1468c313ff82\"}\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_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1e0f27eab64bb22ae42d02d9bd11a5d8cac5aca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/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=Response_Quality. +Result preview: [{"Response_Quality": "High", "row_count": 1053}, {"Response_Quality": "Medium", "row_count": 367}, {"Response_Quality": "Low", "row_count": 80}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..217893df04690028f6daef80c54a486e43078f5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fd050336ee4fb50c +-- problem_id: v2p_m1_eb3bd65f7b5eb6e4 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Response_Quality" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8879a3a8fd3423e622de58e308dec96aec750b95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/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 \"Response_Quality\", COUNT(*) AS \"row_count\"\nFROM \"m1\"\nGROUP BY \"Response_Quality\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Response_Quality\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"Response_Quality\", \"row_count\"], \"rows\": [{\"Response_Quality\": \"High\", \"row_count\": 1053}, {\"Response_Quality\": \"Medium\", \"row_count\": 367}, {\"Response_Quality\": \"Low\", \"row_count\": 80}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4620d27cf8fa78bd936e2b3e8c7c56ce6b89f5f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:33:00.879515+00:00", + "ended_at": "2026-05-19T15:33:15.053047+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_fd050336ee4fb50c", + "problem_id": "v2p_m1_eb3bd65f7b5eb6e4", + "dataset_id": "m1", + "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=Response_Quality.", + "bindings": { + "group_col": "Response_Quality", + "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": 4.0, + "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=5", + "sql_variant_index=1/1", + "binding_index=16" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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_a/m1/sql/v2q_m1_fd050336ee4fb50c.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fd050336ee4fb50c", + "api_calls": 0, + "input_tokens": 16656, + "cached_input_tokens": 12032, + "output_tokens": 288, + "total_tokens": 16944, + "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": 14168.67, + "sql_execution_elapsed_ms_total": 0.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/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_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50d547edd0d6f4d9f6ee9cfa2f076213ad6ab037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:15.050880+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": 14168.67, "started_at": "2026-05-19T15:33:00.881425+00:00", "ended_at": "2026-05-19T15:33:15.050123+00:00", "prompt_metrics": {"chars": 16243, "bytes_utf8": 16243, "lines": 454, "estimated_tokens": null}, "response_metrics": {"chars": 309, "bytes_utf8": 309, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16656, "cached_input_tokens": 12032, "output_tokens": 288, "reasoning_output_tokens": 211}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"Response_Quality\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Response_Quality\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for the target subgroup column Response_Quality using the provided single-table template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ab2739aae91366b98145b5e8321260f05157b74c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fd050336ee4fb50c", + "api_calls": 0, + "input_tokens": 16656, + "cached_input_tokens": 12032, + "output_tokens": 288, + "total_tokens": 16944, + "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": 14168.67, + "sql_execution_elapsed_ms_total": 0.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd050336ee4fb50c/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_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..472ee5809ab061a0f62a4f2e3f0457b4ec95bdc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"Quality_Score": "100.0", "support": 215, "avg_response": 5.846511627906977}, {"Quality_Score": "50.0", "support": 34, "avg_response": 1.6470588235294117}, {"Quality_Score": "96.7", "support": 11, "avg_response": 5.818181818181818}, {"Quality_Score": "94.0", "support": 10, "avg_response": 9.5}, {"Quality_Score": "93.8", "support": 10, "avg_response": 5.2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..654904e603631f5686261335a73a7c282db57340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_fd1f06743bbbd42a +-- problem_id: v2p_m1_fc42453dcce0f1dd +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Quality_Score", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Quality_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..786429895f095fdcf41d5f57876dfea617c9be7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/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_a\n-- sql_source_dataset_id: m1\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m1_fd1f06743bbbd42a\n-- problem_id: v2p_m1_fc42453dcce0f1dd\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"Quality_Score\",\n COUNT(*) AS support,\n AVG(\"Years_Experience\") AS avg_response\nFROM \"m1\"\nGROUP BY \"Quality_Score\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_a\\n-- sql_source_dataset_id: m1\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m1_fd1f06743bbbd42a\\n-- problem_id: v2p_m1_fc42453dcce0f1dd\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"Quality_Score\\\",\\n COUNT(*) AS support,\\n AVG(\\\"Years_Experience\\\") AS avg_response\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Quality_Score\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"Quality_Score\", \"support\", \"avg_response\"], \"rows\": [{\"Quality_Score\": \"100.0\", \"support\": 215, \"avg_response\": 5.846511627906977}, {\"Quality_Score\": \"50.0\", \"support\": 34, \"avg_response\": 1.6470588235294117}, {\"Quality_Score\": \"96.7\", \"support\": 11, \"avg_response\": 5.818181818181818}, {\"Quality_Score\": \"94.0\", \"support\": 10, \"avg_response\": 9.5}, {\"Quality_Score\": \"93.8\", \"support\": 10, \"avg_response\": 5.2}, {\"Quality_Score\": \"91.6\", \"support\": 9, \"avg_response\": 7.111111111111111}, {\"Quality_Score\": \"93.6\", \"support\": 9, \"avg_response\": 5.666666666666667}, {\"Quality_Score\": \"88.8\", \"support\": 9, \"avg_response\": 4.777777777777778}, {\"Quality_Score\": \"90.9\", \"support\": 9, \"avg_response\": 4.222222222222222}, {\"Quality_Score\": \"86.6\", \"support\": 9, \"avg_response\": 3.6666666666666665}, {\"Quality_Score\": \"89.8\", \"support\": 8, \"avg_response\": 6.125}, {\"Quality_Score\": \"93.9\", \"support\": 8, \"avg_response\": 6.125}, {\"Quality_Score\": \"97.0\", \"support\": 7, \"avg_response\": 10.142857142857142}, {\"Quality_Score\": \"92.0\", \"support\": 7, \"avg_response\": 7.0}, {\"Quality_Score\": \"98.7\", \"support\": 7, \"avg_response\": 6.714285714285714}, {\"Quality_Score\": \"95.3\", \"support\": 7, \"avg_response\": 6.285714285714286}, {\"Quality_Score\": \"95.9\", \"support\": 7, \"avg_response\": 5.428571428571429}, {\"Quality_Score\": \"89.0\", \"support\": 7, \"avg_response\": 5.142857142857143}, {\"Quality_Score\": \"98.1\", \"support\": 7, \"avg_response\": 5.142857142857143}, {\"Quality_Score\": \"90.7\", \"support\": 7, \"avg_response\": 5.0}, {\"Quality_Score\": \"99.0\", \"support\": 7, \"avg_response\": 4.714285714285714}, {\"Quality_Score\": \"94.2\", \"support\": 7, \"avg_response\": 4.571428571428571}, {\"Quality_Score\": \"97.9\", \"support\": 7, \"avg_response\": 4.142857142857143}, {\"Quality_Score\": \"95.5\", \"support\": 7, \"avg_response\": 4.0}, {\"Quality_Score\": \"86.7\", \"support\": 7, \"avg_response\": 3.857142857142857}, {\"Quality_Score\": \"80.8\", \"support\": 7, \"avg_response\": 3.7142857142857144}, {\"Quality_Score\": \"76.9\", \"support\": 7, \"avg_response\": 2.0}, {\"Quality_Score\": \"87.0\", \"support\": 6, \"avg_response\": 8.833333333333334}, {\"Quality_Score\": \"93.5\", \"support\": 6, \"avg_response\": 8.833333333333334}, {\"Quality_Score\": \"93.1\", \"support\": 6, \"avg_response\": 7.0}, {\"Quality_Score\": \"83.5\", \"support\": 6, \"avg_response\": 6.666666666666667}, {\"Quality_Score\": \"85.3\", \"support\": 6, \"avg_response\": 6.666666666666667}, {\"Quality_Score\": \"85.1\", \"support\": 6, \"avg_response\": 5.333333333333333}, {\"Quality_Score\": \"99.2\", \"support\": 6, \"avg_response\": 5.0}, {\"Quality_Score\": \"94.7\", \"support\": 6, \"avg_response\": 4.833333333333333}, {\"Quality_Score\": \"89.6\", \"support\": 6, \"avg_response\": 4.5}, {\"Quality_Score\": \"92.1\", \"support\": 6, \"avg_response\": 4.333333333333333}, {\"Quality_Score\": \"98.8\", \"support\": 6, \"avg_response\": 4.0}, {\"Quality_Score\": \"81.8\", \"support\": 6, \"avg_response\": 3.8333333333333335}, {\"Quality_Score\": \"96.0\", \"support\": 6, \"avg_response\": 3.6666666666666665}, {\"Quality_Score\": \"97.5\", \"support\": 6, \"avg_response\": 2.8333333333333335}, {\"Quality_Score\": \"86.8\", \"support\": 6, \"avg_response\": 1.1666666666666667}, {\"Quality_Score\": \"92.2\", \"support\": 5, \"avg_response\": 12.2}, {\"Quality_Score\": \"89.3\", \"support\": 5, \"avg_response\": 9.8}, {\"Quality_Score\": \"95.6\", \"support\": 5, \"avg_response\": 8.0}, {\"Quality_Score\": \"80.0\", \"support\": 5, \"avg_response\": 5.8}, {\"Quality_Score\": \"96.4\", \"support\": 5, \"avg_response\": 5.8}, {\"Quality_Score\": \"97.1\", \"support\": 5, \"avg_response\": 5.8}, {\"Quality_Score\": \"99.9\", \"support\": 5, \"avg_response\": 5.8}, {\"Quality_Score\": \"90.3\", \"support\": 5, \"avg_response\": 5.6}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..16b8ce3bb2bad8ab27603ffa6eeb2829261eb673 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T16:11:34.317418+00:00", + "ended_at": "2026-05-19T16:11:34.319534+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_fd1f06743bbbd42a", + "problem_id": "v2p_m1_fc42453dcce0f1dd", + "dataset_id": "m1", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=Years_Experience, key_col=Quality_Score.", + "bindings": { + "key_col": "Quality_Score", + "measure_col": "Years_Experience", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=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_a/m1/sql/v2q_m1_fd1f06743bbbd42a.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_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd1f06743bbbd42a/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_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..31244a4ae88a8efcb37006ef21068572ed47ce0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/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=Home_Office_Quality, measure_col=Stress_Level. +Result preview: [{"Home_Office_Quality": "Poor", "Work_Hours_Per_Week": "43", "total_measure": 88.0, "share_within_group": 13.622291021671826}, {"Home_Office_Quality": "Average", "Work_Hours_Per_Week": "42", "total_measure": 187.0, "share_within_group": 7.2006160954948015}, {"Home_Office_Quality": "Excellent", "Work_Hours_Per_Week": "41", "total_measure": 137.0, "share_within_group": 7.19915922228061}, {"Home_Office_Quality": "Poor", "Work_Hours_Per_Week": "37", "total_measure": 45.0, "share_within_group": 6.96594427244582}, {"Home_Office_Quality": "Good", "Work_Hours_Per_Week": "43", "total_measure": 232.0, "share_within_group": 6.880189798339265}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9b55ce8ea4997df55d6851c403082ceecaac87f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fd5fd45ba8e018f9 +-- problem_id: v2p_m1_53337448d0ed82dc +-- realization_mode: agent +-- source_kind: agent +SELECT "Home_Office_Quality", "Work_Hours_Per_Week", + SUM(CAST("Stress_Level" AS REAL)) AS "total_measure", + SUM(CAST("Stress_Level" AS REAL)) * 100.0 / SUM(SUM(CAST("Stress_Level" AS REAL))) OVER (PARTITION BY "Home_Office_Quality") AS "share_within_group" +FROM "m1" +GROUP BY "Home_Office_Quality", "Work_Hours_Per_Week" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7518e7f17978f37cbdeb038b2ae0b9980365c3b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/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 \"Home_Office_Quality\", \"Work_Hours_Per_Week\",\n SUM(CAST(\"Stress_Level\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"Stress_Level\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Stress_Level\" AS REAL))) OVER (PARTITION BY \"Home_Office_Quality\") AS \"share_within_group\"\nFROM \"m1\"\nGROUP BY \"Home_Office_Quality\", \"Work_Hours_Per_Week\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Stress_Level\\\" AS REAL))) OVER (PARTITION BY \\\"Home_Office_Quality\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"Home_Office_Quality\", \"Work_Hours_Per_Week\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 88.0, \"share_within_group\": 13.622291021671826}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 187.0, \"share_within_group\": 7.2006160954948015}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 137.0, \"share_within_group\": 7.19915922228061}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 45.0, \"share_within_group\": 6.96594427244582}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 232.0, \"share_within_group\": 6.880189798339265}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 231.0, \"share_within_group\": 6.850533807829182}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 44.0, \"share_within_group\": 6.811145510835913}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 128.0, \"share_within_group\": 6.726221755123489}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 43.0, \"share_within_group\": 6.656346749226006}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 172.0, \"share_within_group\": 6.623026569118213}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 122.0, \"share_within_group\": 6.4109301103520755}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 121.0, \"share_within_group\": 6.358381502890174}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 121.0, \"share_within_group\": 6.358381502890174}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 163.0, \"share_within_group\": 6.27647285329226}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 162.0, \"share_within_group\": 6.237966884867155}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"45\", \"total_measure\": 40.0, \"share_within_group\": 6.191950464396285}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"39\", \"total_measure\": 207.0, \"share_within_group\": 6.1387900355871885}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 159.0, \"share_within_group\": 6.122448979591836}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 157.0, \"share_within_group\": 6.045437042741625}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 38.0, \"share_within_group\": 5.882352941176471}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 196.0, \"share_within_group\": 5.812574139976276}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 150.0, \"share_within_group\": 5.775895263765884}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 150.0, \"share_within_group\": 5.775895263765884}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 108.0, \"share_within_group\": 5.675249605885444}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"42\", \"total_measure\": 191.0, \"share_within_group\": 5.66429418742586}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 107.0, \"share_within_group\": 5.622700998423542}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 188.0, \"share_within_group\": 5.575326215895611}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"48\", \"total_measure\": 104.0, \"share_within_group\": 5.465055176037835}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 141.0, \"share_within_group\": 5.429341547939931}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"44\", \"total_measure\": 183.0, \"share_within_group\": 5.427046263345196}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 137.0, \"share_within_group\": 5.275317674239507}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 172.0, \"share_within_group\": 5.100830367734282}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 132.0, \"share_within_group\": 5.0827878321139774}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"41\", \"total_measure\": 170.0, \"share_within_group\": 5.041518386714117}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 32.0, \"share_within_group\": 4.953560371517028}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"46\", \"total_measure\": 167.0, \"share_within_group\": 4.952550415183867}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"43\", \"total_measure\": 93.0, \"share_within_group\": 4.88702049395691}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"48\", \"total_measure\": 123.0, \"share_within_group\": 4.736234116288025}, {\"Home_Office_Quality\": \"Average\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 122.0, \"share_within_group\": 4.697728147862919}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"35\", \"total_measure\": 151.0, \"share_within_group\": 4.4780545670225385}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"34\", \"total_measure\": 83.0, \"share_within_group\": 4.361534419337888}, {\"Home_Office_Quality\": \"Poor\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 28.0, \"share_within_group\": 4.3343653250774}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"36\", \"total_measure\": 82.0, \"share_within_group\": 4.308985811875985}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"47\", \"total_measure\": 82.0, \"share_within_group\": 4.308985811875985}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"50\", \"total_measure\": 142.0, \"share_within_group\": 4.211150652431791}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 78.0, \"share_within_group\": 4.098791382028376}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"49\", \"total_measure\": 136.0, \"share_within_group\": 4.033214709371293}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"38\", \"total_measure\": 134.0, \"share_within_group\": 3.973902728351127}, {\"Home_Office_Quality\": \"Excellent\", \"Work_Hours_Per_Week\": \"40\", \"total_measure\": 75.0, \"share_within_group\": 3.9411455596426697}, {\"Home_Office_Quality\": \"Good\", \"Work_Hours_Per_Week\": \"37\", \"total_measure\": 132.0, \"share_within_group\": 3.9145907473309607}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..07f27c4ffe452b46958abc85a727c9032a703a60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:35:07.586552+00:00", + "ended_at": "2026-05-19T15:35:20.327041+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_fd5fd45ba8e018f9", + "problem_id": "v2p_m1_53337448d0ed82dc", + "dataset_id": "m1", + "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=Home_Office_Quality, measure_col=Stress_Level.", + "bindings": { + "group_col": "Home_Office_Quality", + "measure_col": "Stress_Level", + "item_col": "Work_Hours_Per_Week", + "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": 7.0, + "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_a/m1/sql/v2q_m1_fd5fd45ba8e018f9.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fd5fd45ba8e018f9", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 17444, + "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": 12731.87, + "sql_execution_elapsed_ms_total": 2.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/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_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99e9b7a405c9687cf2aa5c88c639df9baaee0665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:20.322085+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": 12731.87, "started_at": "2026-05-19T15:35:07.588528+00:00", "ended_at": "2026-05-19T15:35:20.320433+00:00", "prompt_metrics": {"chars": 16768, "bytes_utf8": 16768, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 711, "bytes_utf8": 711, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16810, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 437}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"Stress_Level\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Stress_Level\\\" AS REAL))) OVER (PARTITION BY \\\"Home_Office_Quality\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Home_Office_Quality\\\", \\\"Work_Hours_Per_Week\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the planned Within-Group Share of Total template with group_col=\\\"Home_Office_Quality\\\", item_col=\\\"Work_Hours_Per_Week\\\", and measure_col=\\\"Stress_Level\\\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c0dcfcad211684e0d3da79fc942acb2934407f6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fd5fd45ba8e018f9", + "api_calls": 0, + "input_tokens": 16810, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 17444, + "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": 12731.87, + "sql_execution_elapsed_ms_total": 2.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fd5fd45ba8e018f9/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_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e0110bb694e0ef189267f87c3a3861a0d7bed3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/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=Work_Life_Balance, measure_col=Work_Hours_Per_Week. +Result preview: [{"Work_Life_Balance": "1", "Efficiency_Rating": "95.0", "total_measure": 960.0, "share_within_group": 72.23476297968398}, {"Work_Life_Balance": "10", "Efficiency_Rating": "95.0", "total_measure": 2293.0, "share_within_group": 71.58913518576335}, {"Work_Life_Balance": "4", "Efficiency_Rating": "95.0", "total_measure": 3917.0, "share_within_group": 71.50419861263235}, {"Work_Life_Balance": "9", "Efficiency_Rating": "95.0", "total_measure": 3825.0, "share_within_group": 70.2608376193975}, {"Work_Life_Balance": "8", "Efficiency_Rating": "95.0", "total_measure": 6189.0, "share_within_group": 67.3449401523395}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2538842649d8d84bbf5ccbeeee36fe480385986d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fe534c3cbd7b9b91 +-- problem_id: v2p_m1_44f9094cf313e992 +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", "Efficiency_Rating", + SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS total_measure, + SUM(CAST("Work_Hours_Per_Week" AS REAL)) * 100.0 / SUM(SUM(CAST("Work_Hours_Per_Week" AS REAL))) OVER (PARTITION BY "Work_Life_Balance") AS share_within_group +FROM "m1" +GROUP BY "Work_Life_Balance", "Efficiency_Rating" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f073c463ac0fd45d4f7663e88fdae9eee1a01ff9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/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 \"Work_Life_Balance\", \"Efficiency_Rating\",\n SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) AS total_measure,\n SUM(CAST(\"Work_Hours_Per_Week\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Work_Hours_Per_Week\" AS REAL))) OVER (PARTITION BY \"Work_Life_Balance\") AS share_within_group\nFROM \"m1\"\nGROUP BY \"Work_Life_Balance\", \"Efficiency_Rating\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Work_Life_Balance\\\", \\\"Efficiency_Rating\\\",\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL))) OVER (PARTITION BY \\\"Work_Life_Balance\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\", \\\"Efficiency_Rating\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"Work_Life_Balance\", \"Efficiency_Rating\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 960.0, \"share_within_group\": 72.23476297968398}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 2293.0, \"share_within_group\": 71.58913518576335}, {\"Work_Life_Balance\": \"4\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 3917.0, \"share_within_group\": 71.50419861263235}, {\"Work_Life_Balance\": \"9\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 3825.0, \"share_within_group\": 70.2608376193975}, {\"Work_Life_Balance\": \"8\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 6189.0, \"share_within_group\": 67.3449401523395}, {\"Work_Life_Balance\": \"6\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 8362.0, \"share_within_group\": 65.6770342444235}, {\"Work_Life_Balance\": \"5\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 5283.0, \"share_within_group\": 64.94959429554955}, {\"Work_Life_Balance\": \"3\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 2352.0, \"share_within_group\": 64.45601534667033}, {\"Work_Life_Balance\": \"7\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 7259.0, \"share_within_group\": 63.06141951177135}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"95.0\", \"total_measure\": 1122.0, \"share_within_group\": 58.104609010875194}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"63.1\", \"total_measure\": 53.0, \"share_within_group\": 3.9879608728367195}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"93.5\", \"total_measure\": 48.0, \"share_within_group\": 3.6117381489841986}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"78.5\", \"total_measure\": 45.0, \"share_within_group\": 3.386004514672686}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"90.9\", \"total_measure\": 45.0, \"share_within_group\": 3.386004514672686}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"89.4\", \"total_measure\": 44.0, \"share_within_group\": 3.310759969902182}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"79.0\", \"total_measure\": 38.0, \"share_within_group\": 2.8592927012791574}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"55.0\", \"total_measure\": 55.0, \"share_within_group\": 2.8482651475919214}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"76.6\", \"total_measure\": 34.0, \"share_within_group\": 2.558314522197141}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"78.2\", \"total_measure\": 49.0, \"share_within_group\": 2.5375453133091663}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"82.7\", \"total_measure\": 48.0, \"share_within_group\": 2.4857586742620406}, {\"Work_Life_Balance\": \"4\", \"Efficiency_Rating\": \"85.9\", \"total_measure\": 136.0, \"share_within_group\": 2.4826579043446513}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"51.0\", \"total_measure\": 47.0, \"share_within_group\": 2.4339720352149143}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"88.4\", \"total_measure\": 47.0, \"share_within_group\": 2.4339720352149143}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"69.8\", \"total_measure\": 32.0, \"share_within_group\": 2.4078254326561326}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"63.0\", \"total_measure\": 46.0, \"share_within_group\": 2.3821853961677886}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"90.9\", \"total_measure\": 46.0, \"share_within_group\": 2.3821853961677886}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"93.2\", \"total_measure\": 45.0, \"share_within_group\": 2.330398757120663}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"52.8\", \"total_measure\": 44.0, \"share_within_group\": 2.278612118073537}, {\"Work_Life_Balance\": \"1\", \"Efficiency_Rating\": \"92.8\", \"total_measure\": 30.0, \"share_within_group\": 2.2573363431151243}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"63.4\", \"total_measure\": 43.0, \"share_within_group\": 2.2268254790264113}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"80.8\", \"total_measure\": 43.0, \"share_within_group\": 2.2268254790264113}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"86.6\", \"total_measure\": 42.0, \"share_within_group\": 2.1750388399792855}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"93.9\", \"total_measure\": 42.0, \"share_within_group\": 2.1750388399792855}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"84.9\", \"total_measure\": 41.0, \"share_within_group\": 2.1232522009321597}, {\"Work_Life_Balance\": \"9\", \"Efficiency_Rating\": \"94.4\", \"total_measure\": 114.0, \"share_within_group\": 2.0940484937545922}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"61.4\", \"total_measure\": 38.0, \"share_within_group\": 1.967892283790782}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"85.9\", \"total_measure\": 37.0, \"share_within_group\": 1.9161056447436562}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"74.8\", \"total_measure\": 35.0, \"share_within_group\": 1.8125323666494044}, {\"Work_Life_Balance\": \"4\", \"Efficiency_Rating\": \"71.2\", \"total_measure\": 89.0, \"share_within_group\": 1.624680540343191}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"89.2\", \"total_measure\": 52.0, \"share_within_group\": 1.6234779893849516}, {\"Work_Life_Balance\": \"5\", \"Efficiency_Rating\": \"94.2\", \"total_measure\": 132.0, \"share_within_group\": 1.622817801819523}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"88.2\", \"total_measure\": 31.0, \"share_within_group\": 1.6053858104609011}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"66.6\", \"total_measure\": 51.0, \"share_within_group\": 1.5922572588198565}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"83.1\", \"total_measure\": 50.0, \"share_within_group\": 1.5610365282547611}, {\"Work_Life_Balance\": \"2\", \"Efficiency_Rating\": \"85.6\", \"total_measure\": 30.0, \"share_within_group\": 1.5535991714137753}, {\"Work_Life_Balance\": \"9\", \"Efficiency_Rating\": \"82.7\", \"total_measure\": 83.0, \"share_within_group\": 1.5246142542248347}, {\"Work_Life_Balance\": \"3\", \"Efficiency_Rating\": \"70.3\", \"total_measure\": 54.0, \"share_within_group\": 1.4798574952041654}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"72.6\", \"total_measure\": 47.0, \"share_within_group\": 1.4673743365594756}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"84.7\", \"total_measure\": 47.0, \"share_within_group\": 1.4673743365594756}, {\"Work_Life_Balance\": \"10\", \"Efficiency_Rating\": \"92.1\", \"total_measure\": 47.0, \"share_within_group\": 1.4673743365594756}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..95f835ce47caf57f344be7df4dc01a501b0d8151 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_a", + "dataset_id": "m1", + "started_at": "2026-05-19T15:37:33.241639+00:00", + "ended_at": "2026-05-19T15:37:48.800413+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m1_fe534c3cbd7b9b91", + "problem_id": "v2p_m1_44f9094cf313e992", + "dataset_id": "m1", + "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=Work_Life_Balance, measure_col=Work_Hours_Per_Week.", + "bindings": { + "group_col": "Work_Life_Balance", + "measure_col": "Work_Hours_Per_Week", + "item_col": "Efficiency_Rating", + "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": 46.0, + "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=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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_a/m1/sql/v2q_m1_fe534c3cbd7b9b91.sql", + "usage_summary": { + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fe534c3cbd7b9b91", + "api_calls": 0, + "input_tokens": 16814, + "cached_input_tokens": 15744, + "output_tokens": 904, + "total_tokens": 17718, + "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": 15549.56, + "sql_execution_elapsed_ms_total": 3.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/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_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec2f5e86ea0bda0a34c1bccdda8d8c6156306032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:48.794976+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": 15549.56, "started_at": "2026-05-19T15:37:33.243894+00:00", "ended_at": "2026-05-19T15:37:48.793480+00:00", "prompt_metrics": {"chars": 16772, "bytes_utf8": 16772, "lines": 458, "estimated_tokens": null}, "response_metrics": {"chars": 674, "bytes_utf8": 674, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16814, "cached_input_tokens": 15744, "output_tokens": 904, "reasoning_output_tokens": 713}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Work_Life_Balance\\\", \\\"Efficiency_Rating\\\",\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Work_Hours_Per_Week\\\" AS REAL))) OVER (PARTITION BY \\\"Work_Life_Balance\\\") AS share_within_group\\nFROM \\\"m1\\\"\\nGROUP BY \\\"Work_Life_Balance\\\", \\\"Efficiency_Rating\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=Work_Life_Balance, item_col=Efficiency_Rating, and cast the TEXT measure column Work_Hours_Per_Week to REAL for SQLite-compatible summation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..646283a35c9cb6807560268b8b0bbb7508fe2a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m1", + "model": "v2-cli:codex", + "run_id": "v2q_m1_fe534c3cbd7b9b91", + "api_calls": 0, + "input_tokens": 16814, + "cached_input_tokens": 15744, + "output_tokens": 904, + "total_tokens": 17718, + "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": 15549.56, + "sql_execution_elapsed_ms_total": 3.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_a/m1/artifacts/v2q_m1_fe534c3cbd7b9b91/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_a/m1/sql/v2q_m1_01493cfbc52b1e1c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_01493cfbc52b1e1c.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e95dd1fb747e18f54d8ac40bafa69e09fd7d8aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_01493cfbc52b1e1c.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_01493cfbc52b1e1c +-- problem_id: v2p_m1_881fdef79bb6ac60 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Years_Experience", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Years_Experience" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0412d1c7c316e5f5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0412d1c7c316e5f5.sql new file mode 100644 index 0000000000000000000000000000000000000000..b1f56f5bb7ce9dd84479145006cdc6bed28eb3f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0412d1c7c316e5f5.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0412d1c7c316e5f5 +-- problem_id: v2p_m1_8c932a26026a5eb6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Has_Children", + COUNT(*) AS "support" +FROM "m1" +GROUP BY "Has_Children" +ORDER BY "support" ASC, "Has_Children" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_05b9b4ed7fa43dee.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_05b9b4ed7fa43dee.sql new file mode 100644 index 0000000000000000000000000000000000000000..ea46ce895c12a064d8788a7099b0be7644f04919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_05b9b4ed7fa43dee.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_05b9b4ed7fa43dee +-- problem_id: v2p_m1_7320795813c27623 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Job_Satisfaction", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Job_Satisfaction" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06a53b19ab4311aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06a53b19ab4311aa.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a49a8e361e0179d552f73d0f9fecacd664ad2de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06a53b19ab4311aa.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_06a53b19ab4311aa +-- problem_id: v2p_m1_d5d23e3cdb17b250 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Productivity_Score", + COUNT(*) AS support, + AVG("WFH_Days_Per_Week") AS avg_response +FROM "m1" +GROUP BY "Productivity_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06e4799f5ca8a8e8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06e4799f5ca8a8e8.sql new file mode 100644 index 0000000000000000000000000000000000000000..1067f4c426dfb510a745401f017ebb0ae1365884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_06e4799f5ca8a8e8.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_06e4799f5ca8a8e8 +-- problem_id: v2p_m1_2d21d04fe447e22c +-- realization_mode: agent +-- source_kind: agent +SELECT "Gender", SUM(CAST("Age" AS NUMERIC)) AS "total_measure" +FROM "m1" +GROUP BY "Gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_084bdbd6ba92f76a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_084bdbd6ba92f76a.sql new file mode 100644 index 0000000000000000000000000000000000000000..2576fb01eb0cfe4baf1649415a6347c7a92aa433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_084bdbd6ba92f76a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_084bdbd6ba92f76a +-- problem_id: v2p_m1_f90805597bda029d +-- realization_mode: agent +-- source_kind: agent +SELECT "Location_Type", SUM(CAST("Productivity_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Location_Type" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0978a623dc7f6b02.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0978a623dc7f6b02.sql new file mode 100644 index 0000000000000000000000000000000000000000..a02d2d5c7446c18cef67b09c7dcaca492df33c93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0978a623dc7f6b02.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_0978a623dc7f6b02 +-- problem_id: v2p_m1_088d53eb6133696a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Location_Type", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Location_Type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Location_Type", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0b10a62218209cf5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0b10a62218209cf5.sql new file mode 100644 index 0000000000000000000000000000000000000000..227538a04b0e91f660348a8f5ce2f5e6701d0330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0b10a62218209cf5.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0b10a62218209cf5 +-- problem_id: v2p_m1_04d02e0d926164ba +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Location_Type", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Location_Type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Location_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_a/m1/sql/v2q_m1_0bd52e7d0c5d921e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0bd52e7d0c5d921e.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3d004dfe240012471fa22e3b0c1eca90a62adcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0bd52e7d0c5d921e.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_0bd52e7d0c5d921e +-- problem_id: v2p_m1_d0d78305d385e762 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Manager_Support_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Manager_Support_Level" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d4d344ddc1436c1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d4d344ddc1436c1.sql new file mode 100644 index 0000000000000000000000000000000000000000..3cfc67512b1d9895330d06923add809826fe48a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d4d344ddc1436c1.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0d4d344ddc1436c1 +-- problem_id: v2p_m1_3b2dae384bbf6c3f +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Gender", + CAST("Years_Experience" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Gender" + ORDER BY CAST("Years_Experience" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Gender" + ) AS "cnt" + FROM "m1" + WHERE "Gender" IS NOT NULL + AND "Years_Experience" IS NOT NULL + AND TRIM("Years_Experience") <> '' +), +"eligible" AS ( + SELECT * + FROM "ordered" + WHERE "cnt" >= 5 +), +"positions" AS ( + SELECT DISTINCT + "Gender", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) > CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + THEN CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + 1 + ELSE CAST((1.0 + 0.9 * ("cnt" - 1)) AS INT) + END AS "upper_rn" + FROM "eligible" +), +"bounds" AS ( + SELECT + p."Gender", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN e."rn" = p."lower_rn" THEN e."measure_value" END) AS "lower_val", + MAX(CASE WHEN e."rn" = p."upper_rn" THEN e."measure_value" END) AS "upper_val" + FROM "positions" AS p + JOIN "eligible" AS e + ON e."Gender" = p."Gender" + GROUP BY + p."Gender", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Gender", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d6aed317412ef3a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d6aed317412ef3a.sql new file mode 100644 index 0000000000000000000000000000000000000000..00073c290000bd965584d4479d5745adf68c53cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0d6aed317412ef3a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0d6aed317412ef3a +-- problem_id: v2p_m1_828949dfad54062e +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", SUM(CAST("Years_Experience" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Education_Level" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0e74392c15c2f499.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0e74392c15c2f499.sql new file mode 100644 index 0000000000000000000000000000000000000000..a0541b54256648f25019e14846a306eeddc04ae6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0e74392c15c2f499.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_0e74392c15c2f499 +-- problem_id: v2p_m1_fbfe9c189644da1a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Job_Level", + SUM(CASE WHEN "Gender" = 'Female' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Gender" = 'Male' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Job_Level" +) +SELECT "Job_Level", + 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_a/m1/sql/v2q_m1_0fb3892cb073099d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0fb3892cb073099d.sql new file mode 100644 index 0000000000000000000000000000000000000000..c204886e7fd0c5869b29a1982117689a5117bf2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_0fb3892cb073099d.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_0fb3892cb073099d +-- problem_id: v2p_m1_9888272921000d49 +-- realization_mode: agent +-- source_kind: agent +SELECT "Team_Collaboration_Frequency", + AVG(CASE WHEN "Job_Level" = 'Junior' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Team_Collaboration_Frequency" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_10b98eafb0959930.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_10b98eafb0959930.sql new file mode 100644 index 0000000000000000000000000000000000000000..80f7379c939ef462d0c9be2864b8d52161987526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_10b98eafb0959930.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_10b98eafb0959930 +-- problem_id: v2p_m1_12a744770725f255 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + CAST("Stress_Level" AS REAL) AS "Stress_Level", + NTILE(10) OVER (ORDER BY CAST("Stress_Level" AS REAL) DESC) AS "tail_bucket" + FROM "m1" +) +SELECT "Stress_Level" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "Stress_Level" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_11a6c0b0473fea94.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_11a6c0b0473fea94.sql new file mode 100644 index 0000000000000000000000000000000000000000..33888f8be36e444f46540e178a6f49983b5a6411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_11a6c0b0473fea94.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_11a6c0b0473fea94 +-- problem_id: v2p_m1_c90ebdc632feb89c +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_125f5b1eba679c5e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_125f5b1eba679c5e.sql new file mode 100644 index 0000000000000000000000000000000000000000..6751d8fef9bc2642a681c3abcefbe261d8050098 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_125f5b1eba679c5e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_125f5b1eba679c5e +-- problem_id: v2p_m1_cab9f4ffb472446c +-- realization_mode: agent +-- source_kind: agent +SELECT + "Team_Collaboration_Frequency", + "Quality_Score", + SUM(CAST("Years_Experience" AS REAL)) AS total_measure, + SUM(CAST("Years_Experience" AS REAL)) * 100.0 / SUM(SUM(CAST("Years_Experience" AS REAL))) OVER (PARTITION BY "Team_Collaboration_Frequency") AS share_within_group +FROM "m1" +GROUP BY "Team_Collaboration_Frequency", "Quality_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_14e94e8b2ecb8e75.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_14e94e8b2ecb8e75.sql new file mode 100644 index 0000000000000000000000000000000000000000..0713c2acef4704b1566ee94aed45404218834d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_14e94e8b2ecb8e75.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_14e94e8b2ecb8e75 +-- problem_id: v2p_m1_aad1dcdc77ccdb0d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Has_Children", + CAST("Productivity_Score" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Has_Children" + ORDER BY CAST("Productivity_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Has_Children") AS "cnt" + FROM "m1" + WHERE "Has_Children" IS NOT NULL + AND "Productivity_Score" IS NOT NULL +), +"positions" AS ( + SELECT + "Has_Children", + (("cnt" - 1) * 0.9) + 1.0 AS "pos", + CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) AS "lo_rn", + CASE + WHEN ((("cnt" - 1) * 0.9) + 1.0) = CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + THEN CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + ELSE CAST((("cnt" - 1) * 0.9) + 1.0 AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + GROUP BY "Has_Children", "cnt" +), +"picked" AS ( + SELECT + p."Has_Children", + p."pos", + p."lo_rn", + p."hi_rn", + MAX(CASE WHEN r."rn" = p."lo_rn" THEN r."measure_value" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi_rn" THEN r."measure_value" END) AS "hi_val" + FROM "positions" p + JOIN "ranked" r + ON r."Has_Children" = p."Has_Children" + GROUP BY p."Has_Children", p."pos", p."lo_rn", p."hi_rn" +) +SELECT + "Has_Children", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_val" + ELSE "lo_val" + (("pos" - "lo_rn") * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_152b965f79f7457a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_152b965f79f7457a.sql new file mode 100644 index 0000000000000000000000000000000000000000..fd41de0f54738d2913feef2e713e281bd52b71cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_152b965f79f7457a.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_152b965f79f7457a +-- problem_id: v2p_m1_0cb07f0e9d1231d1 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Team_Collaboration_Frequency" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Team_Collaboration_Frequency" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_15ba276ac92518aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_15ba276ac92518aa.sql new file mode 100644 index 0000000000000000000000000000000000000000..174249ad3067f02956efb1f8589472ac8e4515a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_15ba276ac92518aa.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_15ba276ac92518aa +-- problem_id: v2p_m1_046e536d80eee221 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Survey_Date", COUNT(*) AS row_count +FROM "m1" +WHERE "Survey_Date" = '2024-05-04' +GROUP BY "Has_Children", "Survey_Date" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1643609133d9f240.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1643609133d9f240.sql new file mode 100644 index 0000000000000000000000000000000000000000..755e2db1fcda5b2d93c0b62379e853dd6de0da80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1643609133d9f240.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_1643609133d9f240 +-- problem_id: v2p_m1_b5e86d8f3f475504 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Employee_ID", + COUNT(*) AS support, + AVG("Work_Hours_Per_Week") AS avg_response +FROM "m1" +GROUP BY "Employee_ID" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_17bd5a0052c8c6ae.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_17bd5a0052c8c6ae.sql new file mode 100644 index 0000000000000000000000000000000000000000..86008333a56433f0580fabbf276f411505dd9863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_17bd5a0052c8c6ae.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_17bd5a0052c8c6ae +-- problem_id: v2p_m1_99ec91ea4e723b63 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Education_Level" AS "group_col", + CAST("WFH_Days_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Education_Level" + ORDER BY CAST("WFH_Days_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Education_Level" + ) AS "cnt" + FROM "m1" + WHERE "Education_Level" IS NOT NULL + AND "WFH_Days_Per_Week" IS NOT NULL + AND TRIM("Education_Level") <> '' + AND TRIM("WFH_Days_Per_Week") <> '' +), +"targets" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) = CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + THEN CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + ELSE CAST((1.0 + ("cnt" - 1) * 0.9) AS INT) + 1 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +), +"bounds" AS ( + SELECT + "t"."group_col", + "t"."pos", + "t"."lower_rn", + "t"."upper_rn", + "lo"."measure_value" AS "lower_val", + "hi"."measure_value" AS "upper_val" + FROM "targets" AS "t" + JOIN "ordered" AS "lo" + ON "lo"."group_col" = "t"."group_col" + AND "lo"."rn" = "t"."lower_rn" + JOIN "ordered" AS "hi" + ON "hi"."group_col" = "t"."group_col" + AND "hi"."rn" = "t"."upper_rn" +) +SELECT + "group_col" AS "Education_Level", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC, "Education_Level" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_187cf7cd3ad6f77b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_187cf7cd3ad6f77b.sql new file mode 100644 index 0000000000000000000000000000000000000000..915606bcb0d5d85e84b3253d923a35ee746b8b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_187cf7cd3ad6f77b.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_187cf7cd3ad6f77b +-- problem_id: v2p_m1_755fdeb17a29c798 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("Meetings_Per_Week" AS REAL) AS "Meetings_Per_Week", + NTILE(10) OVER (ORDER BY CAST("Meetings_Per_Week" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Meetings_Per_Week" IS NOT NULL +) +SELECT "Meetings_Per_Week" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "Meetings_Per_Week" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a136c8908966a3a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a136c8908966a3a.sql new file mode 100644 index 0000000000000000000000000000000000000000..a24216632669e7b8bfe00ee339bcfad1fcdd59a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a136c8908966a3a.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_1a136c8908966a3a +-- problem_id: v2p_m1_b7d18ac724d0388b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Commute_Time_Minutes", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Commute_Time_Minutes" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a526838d64cf612.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a526838d64cf612.sql new file mode 100644 index 0000000000000000000000000000000000000000..1fe973b34a07ac5b92f4d6f599d5fc7cbc70d31a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1a526838d64cf612.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_1a526838d64cf612 +-- problem_id: v2p_m1_a7619fed2f127898 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Team_Collaboration_Frequency", SUM(CAST("Commute_Time_Minutes" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Team_Collaboration_Frequency" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Team_Collaboration_Frequency", 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_a/m1/sql/v2q_m1_1afaf01168c1270c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1afaf01168c1270c.sql new file mode 100644 index 0000000000000000000000000000000000000000..524acc3d86bdb811733c00a0c8fc04f018844789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1afaf01168c1270c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1afaf01168c1270c +-- problem_id: v2p_m1_c772f91f4857beb0 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Internet_Speed_Category", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Meetings_Per_Week" AS REAL) >= 10.0 +GROUP BY "Has_Children", "Internet_Speed_Category" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cb01cf428f528f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cb01cf428f528f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3f0e831c27dc2fa4894c0e020d727206de2792a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1cb01cf428f528f7.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1cb01cf428f528f7 +-- problem_id: v2p_m1_c3c2aa3f88ca5cfb +-- realization_mode: agent +-- source_kind: agent +SELECT "Industry", SUM(CAST("Efficiency_Rating" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Industry" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1d2f460c9a64b4eb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1d2f460c9a64b4eb.sql new file mode 100644 index 0000000000000000000000000000000000000000..76e4f4d2113b27ef02d789643875dc0329e30379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1d2f460c9a64b4eb.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_1d2f460c9a64b4eb +-- problem_id: v2p_m1_b372d8bb091ff60e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Company_Size" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Company_Size" +), 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_a/m1/sql/v2q_m1_1e7ab5b666473593.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1e7ab5b666473593.sql new file mode 100644 index 0000000000000000000000000000000000000000..f66d5df60f89d07c2da57e41ce4706e024fe639f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1e7ab5b666473593.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_1e7ab5b666473593 +-- problem_id: v2p_m1_37ab31c1c5efd0c8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", SUM(CAST("Years_Experience" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Education_Level" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1e9ca03df90fecd1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1e9ca03df90fecd1.sql new file mode 100644 index 0000000000000000000000000000000000000000..e7b09942cca749dd8b6d5895010e09407ec25458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_1e9ca03df90fecd1.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_1e9ca03df90fecd1 +-- problem_id: v2p_m1_56a53901b7add09e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Manager_Support_Level", + SUM(CAST(NULLIF("Meetings_Per_Week", '') AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Manager_Support_Level" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."Manager_Support_Level", + 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_a/m1/sql/v2q_m1_2309a5c59929db44.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2309a5c59929db44.sql new file mode 100644 index 0000000000000000000000000000000000000000..fdfaf41bc1dd16e8b0f39c48ea0d9e1f695c5350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2309a5c59929db44.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_2309a5c59929db44 +-- problem_id: v2p_m1_028ae97eabc101d5 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Work_Life_Balance", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Work_Life_Balance" AS REAL) >= 8.0 +GROUP BY "Has_Children", "Work_Life_Balance" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_25394aa0d0870dfa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_25394aa0d0870dfa.sql new file mode 100644 index 0000000000000000000000000000000000000000..6fa75c0c9cf79805ed38dfab55dc2c554fad18bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_25394aa0d0870dfa.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_25394aa0d0870dfa +-- problem_id: v2p_m1_f076a540ed23febd +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Location_Type", + SUM(CASE WHEN "Response_Quality" = 'High' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Response_Quality" = 'Medium' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Location_Type" +) +SELECT "Location_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_a/m1/sql/v2q_m1_262723f1965435fa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_262723f1965435fa.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f8c74bdc0fe861c6689f58f6a78c8334cbe02bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_262723f1965435fa.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_262723f1965435fa +-- problem_id: v2p_m1_94c2990491869f0d +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Response_Quality", + CAST("Age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "Response_Quality" + ORDER BY CAST("Age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Response_Quality" + ) AS "cnt" + FROM "m1" + WHERE "Age" IS NOT NULL + AND TRIM("Age") <> '' +), +"params" AS ( + SELECT + "Response_Quality", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lower_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) + 1 + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + END AS "upper_rn" + FROM "ordered" + GROUP BY "Response_Quality", "cnt" +), +"bounds" AS ( + SELECT + p."Response_Quality", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."age_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."age_value" END) AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS o + ON o."Response_Quality" = p."Response_Quality" + GROUP BY + p."Response_Quality", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Response_Quality", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_26585a9c4ac09d48.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_26585a9c4ac09d48.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f1837a61def178dca14c554c41baf920677c7c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_26585a9c4ac09d48.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_26585a9c4ac09d48 +-- problem_id: v2p_m1_b33188be19b93ab2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + "percentile_measure" +FROM ( + SELECT + "Gender", + CAST("Years_Experience" AS REAL) AS "percentile_measure", + ROW_NUMBER() OVER ( + PARTITION BY "Gender" + ORDER BY CAST("Years_Experience" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Gender" + ) AS "cnt" + FROM "m1" + WHERE "Gender" IS NOT NULL + AND "Years_Experience" IS NOT NULL +) +WHERE "rn" = ((95 * "cnt") + 99) / 100 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_289cec0f1b38e654.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_289cec0f1b38e654.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b2d5538d30150af356d8fbd0a72966b6d3b2769 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_289cec0f1b38e654.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_289cec0f1b38e654 +-- problem_id: v2p_m1_2482b450641b3581 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Stress_Level", SUM(CAST("Job_Satisfaction" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Stress_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Stress_Level", 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_a/m1/sql/v2q_m1_2994e13b03622d40.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2994e13b03622d40.sql new file mode 100644 index 0000000000000000000000000000000000000000..0264ef524edac0e510bcc78eb9114efedf408e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2994e13b03622d40.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_2994e13b03622d40 +-- problem_id: v2p_m1_8fb281b270079630 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Industry", + "Years_Experience", + SUM(CAST("Job_Satisfaction" AS REAL)) AS total_measure, + SUM(CAST("Job_Satisfaction" AS REAL)) * 100.0 / SUM(SUM(CAST("Job_Satisfaction" AS REAL))) OVER (PARTITION BY "Industry") AS share_within_group +FROM "m1" +GROUP BY "Industry", "Years_Experience" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b347f6589ddf4a3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b347f6589ddf4a3.sql new file mode 100644 index 0000000000000000000000000000000000000000..38ac2266238f1b6a64a2af304443fd0914fdc8cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b347f6589ddf4a3.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_2b347f6589ddf4a3 +-- problem_id: v2p_m1_486fbca4dd999840 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Education_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Education_Level" +), 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_a/m1/sql/v2q_m1_2b5af2a220014596.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b5af2a220014596.sql new file mode 100644 index 0000000000000000000000000000000000000000..11eb10e21f2f11957025dbe35c4337c26cddadcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2b5af2a220014596.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_2b5af2a220014596 +-- problem_id: v2p_m1_fdd0f460aaf94c51 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Survey_Date", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Survey_Date" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2cfd85e1479bcac8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2cfd85e1479bcac8.sql new file mode 100644 index 0000000000000000000000000000000000000000..2f0b97c01f851dd760d085b0071dd3bf67485a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_2cfd85e1479bcac8.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m1_2cfd85e1479bcac8 +-- problem_id: v2p_m1_90f48a507f6d9592 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Marital_Status", + COUNT(*) AS "support" +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY "support" ASC, "Marital_Status" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_33fc53a063f7684e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_33fc53a063f7684e.sql new file mode 100644 index 0000000000000000000000000000000000000000..c280a0c0b9a9f78e366b8a8a91a28cceb525ee72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_33fc53a063f7684e.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_33fc53a063f7684e +-- problem_id: v2p_m1_172019caf2ca4e53 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Home_Office_Quality", + SUM(CAST("Innovation_Score" AS REAL)) AS "group_value" + FROM "m1" + WHERE "Home_Office_Quality" IS NOT NULL + AND TRIM("Home_Office_Quality") <> '' + AND "Innovation_Score" IS NOT NULL + AND TRIM("Innovation_Score") <> '' + GROUP BY "Home_Office_Quality" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."Home_Office_Quality", 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_a/m1/sql/v2q_m1_3e4a7433fc061142.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3e4a7433fc061142.sql new file mode 100644 index 0000000000000000000000000000000000000000..a9b5ce02335128aff0258ab3531aaac34a4a56df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3e4a7433fc061142.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_3e4a7433fc061142 +-- problem_id: v2p_m1_d7b3919e7a6eb24e +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Education_Level", + CAST("WFH_Days_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Education_Level" + ORDER BY CAST("WFH_Days_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Education_Level") AS "cnt" + FROM "m1" + WHERE "Education_Level" IS NOT NULL + AND TRIM("Education_Level") <> '' + AND "WFH_Days_Per_Week" IS NOT NULL + AND TRIM("WFH_Days_Per_Week") <> '' +), +"group_positions" AS ( + SELECT DISTINCT + "Education_Level", + ((("cnt" - 1) * 0.95) + 1.0) AS "pos", + CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((("cnt" - 1) * 0.95) + 1.0) = CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + THEN CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + ELSE CAST(((("cnt" - 1) * 0.95) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +), +"percentile_inputs" AS ( + SELECT + gp."Education_Level", + gp."pos", + MAX(CASE WHEN r."rn" = gp."lower_rn" THEN r."measure_value" END) AS "lower_value", + MAX(CASE WHEN r."rn" = gp."upper_rn" THEN r."measure_value" END) AS "upper_value" + FROM "group_positions" AS gp + JOIN "ranked" AS r + ON r."Education_Level" = gp."Education_Level" + GROUP BY + gp."Education_Level", + gp."pos" +) +SELECT + "Education_Level", + CASE + WHEN "lower_value" IS NULL THEN NULL + WHEN "upper_value" IS NULL OR "pos" = CAST("pos" AS INTEGER) THEN "lower_value" + ELSE "lower_value" + (("pos" - CAST("pos" AS INTEGER)) * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "percentile_inputs" +ORDER BY "percentile_measure" DESC, "Education_Level" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3f7c3281c9980d67.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3f7c3281c9980d67.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5e78cbf0d954851de060c84ec99984e2051b9a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_3f7c3281c9980d67.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_3f7c3281c9980d67 +-- problem_id: v2p_m1_9071d685f2921166 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Job_Level", SUM(CAST("Productivity_Score" AS REAL)) AS group_value + FROM "m1" + WHERE "Job_Level" IS NOT NULL + AND TRIM("Job_Level") <> '' + AND "Productivity_Score" IS NOT NULL + AND TRIM("Productivity_Score") <> '' + GROUP BY "Job_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Job_Level", 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_a/m1/sql/v2q_m1_426e721685818783.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_426e721685818783.sql new file mode 100644 index 0000000000000000000000000000000000000000..32164c70cf993f101c1254971afee6075bf6b4c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_426e721685818783.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_426e721685818783 +-- problem_id: v2p_m1_bc93f5d414bb7757 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Company_Size", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Quality_Score" AS REAL) >= 96.225 +GROUP BY "Has_Children", "Company_Size" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_43ba685f953ecad6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_43ba685f953ecad6.sql new file mode 100644 index 0000000000000000000000000000000000000000..aad8b0f58f9d2aa07db5eb3a093e074e2febed71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_43ba685f953ecad6.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_43ba685f953ecad6 +-- problem_id: v2p_m1_5ca9cf689085389a +-- realization_mode: agent +-- source_kind: agent +SELECT + "Marital_Status", + COUNT(*) AS support +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY support ASC, "Marital_Status" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4438bd7ea2f58785.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4438bd7ea2f58785.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d2f0d6bfa5f79ef1325de6962ffb03b3cf76f9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4438bd7ea2f58785.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_4438bd7ea2f58785 +-- problem_id: v2p_m1_2d5136d1755b9c3b +-- realization_mode: agent +-- source_kind: agent +SELECT "Gender", SUM(CAST("Age" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Gender" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_46d699e8f5e6e4e1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_46d699e8f5e6e4e1.sql new file mode 100644 index 0000000000000000000000000000000000000000..988bc7d76cd8f40012779816b4306cae3ef2bb0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_46d699e8f5e6e4e1.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_46d699e8f5e6e4e1 +-- problem_id: v2p_m1_f74752f6c490e8ec +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", + AVG(CASE WHEN "Company_Size" = 'Large (1001-5000)' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Stress_Level" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_48f2c4cc35e98cf6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_48f2c4cc35e98cf6.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee4b60ba9ac2c52dfdc5fd6440c47f18823a7373 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_48f2c4cc35e98cf6.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_48f2c4cc35e98cf6 +-- problem_id: v2p_m1_190bd7834804544c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "Quality_Score", + NTILE(10) OVER (ORDER BY CAST("Quality_Score" AS REAL) DESC) AS tail_bucket + FROM "m1" + WHERE "Quality_Score" IS NOT NULL +) +SELECT "Quality_Score" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("Quality_Score" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4a5dec0ab4741835.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4a5dec0ab4741835.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc1d2f0e2edbb35b567dca10f4747897dca1cb2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4a5dec0ab4741835.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_4a5dec0ab4741835 +-- problem_id: v2p_m1_41f74a76b25d3c63 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Internet_Speed_Category", + "Productivity_Score", + SUM(CAST("Work_Life_Balance" AS REAL)) AS total_measure, + SUM(CAST("Work_Life_Balance" AS REAL)) * 100.0 + / SUM(SUM(CAST("Work_Life_Balance" AS REAL))) OVER (PARTITION BY "Internet_Speed_Category") AS share_within_group +FROM "m1" +WHERE "Internet_Speed_Category" IS NOT NULL + AND "Productivity_Score" IS NOT NULL + AND "Work_Life_Balance" IS NOT NULL +GROUP BY "Internet_Speed_Category", "Productivity_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4b97142a314ddcc1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4b97142a314ddcc1.sql new file mode 100644 index 0000000000000000000000000000000000000000..55341f619216f5bbb141a5976ba26e6384794b40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4b97142a314ddcc1.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_4b97142a314ddcc1 +-- problem_id: v2p_m1_fcb406347ecec240 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Efficiency_Rating", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Efficiency_Rating" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4c4a3b6b2b1121b9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4c4a3b6b2b1121b9.sql new file mode 100644 index 0000000000000000000000000000000000000000..0c716b8611d173091f92675f70b1c86adf58c6e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_4c4a3b6b2b1121b9.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_4c4a3b6b2b1121b9 +-- problem_id: v2p_m1_e12e226c54d37784 +-- realization_mode: agent +-- source_kind: agent +SELECT "Internet_Speed_Category", "Productivity_Score", + SUM(CAST("Work_Life_Balance" AS REAL)) AS total_measure, + SUM(CAST("Work_Life_Balance" AS REAL)) * 100.0 / SUM(SUM(CAST("Work_Life_Balance" AS REAL))) OVER (PARTITION BY "Internet_Speed_Category") AS share_within_group +FROM "m1" +GROUP BY "Internet_Speed_Category", "Productivity_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_508eb46f6a079dec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_508eb46f6a079dec.sql new file mode 100644 index 0000000000000000000000000000000000000000..0208724509dc8e619f298a5c12963aa9409c745c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_508eb46f6a079dec.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_508eb46f6a079dec +-- problem_id: v2p_m1_8fc08ccdbfcacb48 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Job_Level", + CAST("Innovation_Score" AS REAL) AS "Innovation_Score", + ROW_NUMBER() OVER ( + PARTITION BY "Job_Level" + ORDER BY CAST("Innovation_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Job_Level" + ) AS "cnt" + FROM "m1" + WHERE "Job_Level" IS NOT NULL + AND "Job_Level" <> '' + AND "Innovation_Score" IS NOT NULL + AND "Innovation_Score" <> '' +), +"percentile_params" AS ( + SELECT + "Job_Level", + "Innovation_Score", + "rn", + "cnt", + 1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER) AS "lower_rn", + 1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER) + CASE + WHEN ((("cnt" - 1) * 95) % 100) > 0 THEN 1 + ELSE 0 + END AS "upper_rn", + (1 + CAST(((("cnt" - 1) * 95) / 100) AS INTEGER)) + (((("cnt" - 1) * 95) % 100) / 100.0) AS "pos" + FROM "ranked" +), +"bounds" AS ( + SELECT + "Job_Level", + MAX(CASE WHEN "rn" = "lower_rn" THEN "Innovation_Score" END) AS "lower_value", + MAX(CASE WHEN "rn" = "upper_rn" THEN "Innovation_Score" END) AS "upper_value", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX("pos") AS "pos" + FROM "percentile_params" + GROUP BY "Job_Level" +) +SELECT + "Job_Level", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_52a490c1e8e4c3c6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_52a490c1e8e4c3c6.sql new file mode 100644 index 0000000000000000000000000000000000000000..30ada82b69053b3950fe6391f250b033a9af529a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_52a490c1e8e4c3c6.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_52a490c1e8e4c3c6 +-- problem_id: v2p_m1_c5dd094ea5d6978c +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", SUM(CAST("WFH_Days_Per_Week" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5347a3fe8acac887.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5347a3fe8acac887.sql new file mode 100644 index 0000000000000000000000000000000000000000..0996a1cb80ea585a74b5a2cb6eecad28e88e0758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5347a3fe8acac887.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5347a3fe8acac887 +-- problem_id: v2p_m1_26bf3cde75ba08a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", "Innovation_Score", + SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("WFH_Days_Per_Week", '') AS REAL))) OVER (PARTITION BY "Stress_Level") AS "share_within_group" +FROM "m1" +GROUP BY "Stress_Level", "Innovation_Score" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_55fd02977f7294b3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_55fd02977f7294b3.sql new file mode 100644 index 0000000000000000000000000000000000000000..356ba3a622f3947e7b1bcfbd58659027f96065d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_55fd02977f7294b3.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_55fd02977f7294b3 +-- problem_id: v2p_m1_24de298331a3abdf +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Department", + CAST("Quality_Score" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Department" + ORDER BY CAST("Quality_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Department") AS "n" + FROM "m1" + WHERE "Department" IS NOT NULL + AND "Quality_Score" IS NOT NULL +), +"params" AS ( + SELECT + "Department", + "n", + (1.0 + 0.9 * ("n" - 1)) AS "r" + FROM "ordered" + GROUP BY "Department", "n" + HAVING "n" >= 5 +), +"bounds" AS ( + SELECT + "Department", + "n", + "r", + CAST("r" AS INTEGER) AS "lo_rn", + CASE + WHEN "r" = CAST("r" AS INTEGER) THEN CAST("r" AS INTEGER) + ELSE CAST("r" AS INTEGER) + 1 + END AS "hi_rn" + FROM "params" +) +SELECT + b."Department", + CASE + WHEN b."lo_rn" = b."hi_rn" THEN MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure_value" END) * (b."hi_rn" - b."r") + + MAX(CASE WHEN o."rn" = b."hi_rn" THEN o."measure_value" END) * (b."r" - b."lo_rn") + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Department" = b."Department" +GROUP BY b."Department", b."r", b."lo_rn", b."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_563c0bca293b80fd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_563c0bca293b80fd.sql new file mode 100644 index 0000000000000000000000000000000000000000..c665a4e8fa102dd969aab62faf29237162856baf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_563c0bca293b80fd.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_563c0bca293b80fd +-- problem_id: v2p_m1_313a6b682b60e06c +-- realization_mode: agent +-- source_kind: agent +SELECT "Company_Size", SUM(CAST("Innovation_Score" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Company_Size" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_56c58a24ea98ec82.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_56c58a24ea98ec82.sql new file mode 100644 index 0000000000000000000000000000000000000000..7bde21996d2fba1f721f1bd1a6cfc47d72d68b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_56c58a24ea98ec82.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_56c58a24ea98ec82 +-- problem_id: v2p_m1_e4a978b2f8bd3fce +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Home_Office_Quality" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Home_Office_Quality" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_571064e388aefa2b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_571064e388aefa2b.sql new file mode 100644 index 0000000000000000000000000000000000000000..54b3eebf56bb97c3108c2070c014166086c1b4b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_571064e388aefa2b.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_571064e388aefa2b +-- problem_id: v2p_m1_c17f63cca3aeec4e +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", + AVG(CASE WHEN "WFH_Days_Per_Week" = '3' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_576c9e03ba393e17.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_576c9e03ba393e17.sql new file mode 100644 index 0000000000000000000000000000000000000000..9e04116195c0bac50e3dcfa38ce8e79d71877d2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_576c9e03ba393e17.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_576c9e03ba393e17 +-- problem_id: v2p_m1_19b650ab7931c028 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Location_Type", + CAST("Task_Completion_Rate" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Location_Type" + ORDER BY CAST("Task_Completion_Rate" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Location_Type" + ) AS "cnt" + FROM "m1" + WHERE "Task_Completion_Rate" IS NOT NULL + AND "Task_Completion_Rate" <> '' +) +SELECT + "Location_Type", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "rn" >= CAST(0.95 * "cnt" + 0.999999999 AS INTEGER) +GROUP BY "Location_Type" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_58f8908ba50571a5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_58f8908ba50571a5.sql new file mode 100644 index 0000000000000000000000000000000000000000..cedd3c09b374fe8d77c188177794b3eecce0497e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_58f8908ba50571a5.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_58f8908ba50571a5 +-- problem_id: v2p_m1_945bf0c5f759a6e2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Department" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Department" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5e630050646101f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5e630050646101f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..15852682b9bc519900294189c4c433fcfc370217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5e630050646101f7.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5e630050646101f7 +-- problem_id: v2p_m1_fedb982cb8b8cd94 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Company_Size", + SUM(CASE WHEN "Education_Level" = 'Bachelor Degree' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Education_Level" = 'Master Degree' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Company_Size" +) +SELECT "Company_Size", + 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_a/m1/sql/v2q_m1_5fa3a8520733259f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5fa3a8520733259f.sql new file mode 100644 index 0000000000000000000000000000000000000000..699fbb8292e3ddb60b2ecd79f70ecde875c3f83d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_5fa3a8520733259f.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_5fa3a8520733259f +-- problem_id: v2p_m1_bde509ed979b67a3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + "Survey_Date", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "Gender") AS "share_within_group" +FROM ( + SELECT + "Gender", + "Survey_Date", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure" + FROM "m1" + GROUP BY "Gender", "Survey_Date" +) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_61933d4a3f5a053d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_61933d4a3f5a053d.sql new file mode 100644 index 0000000000000000000000000000000000000000..bec5fd5db6a30c6fa26c19aae05b00173cd20af1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_61933d4a3f5a053d.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_61933d4a3f5a053d +-- problem_id: v2p_m1_653c47a92154cfce +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("Years_Experience" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m1"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_62f33e22c3fbc6af.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_62f33e22c3fbc6af.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae99be39a0cb41255bfdf4e7a3aa192161c2ad8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_62f33e22c3fbc6af.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_62f33e22c3fbc6af +-- problem_id: v2p_m1_af0e20ed5d79eb97 +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Education_Level" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68d2671f1c6b9080.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68d2671f1c6b9080.sql new file mode 100644 index 0000000000000000000000000000000000000000..b933c8e70b48c220470cb7dd758cbea56aa17e11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68d2671f1c6b9080.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_68d2671f1c6b9080 +-- problem_id: v2p_m1_f08e9651cab89770 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Department", + SUM(CASE WHEN "WFH_Days_Per_Week" = '4' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "WFH_Days_Per_Week" = '3' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Department" +) +SELECT "Department", + 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_a/m1/sql/v2q_m1_68e5472b127cd84d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68e5472b127cd84d.sql new file mode 100644 index 0000000000000000000000000000000000000000..86d0bc89751f569c1bec16a99c6c79d8bc113de3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_68e5472b127cd84d.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_68e5472b127cd84d +-- problem_id: v2p_m1_01377c0d819cfef9 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", "Task_Completion_Rate", + SUM(CAST("Age" AS REAL)) AS total_measure, + SUM(CAST("Age" AS REAL)) * 100.0 / SUM(SUM(CAST("Age" AS REAL))) OVER (PARTITION BY "Manager_Support_Level") AS share_within_group +FROM "m1" +GROUP BY "Manager_Support_Level", "Task_Completion_Rate" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_69e30604e3eef174.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_69e30604e3eef174.sql new file mode 100644 index 0000000000000000000000000000000000000000..744376c7239a17fdd06aeb23398ca17f4746083c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_69e30604e3eef174.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_69e30604e3eef174 +-- problem_id: v2p_m1_fe9c2c608e278fe5 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Marital_Status" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Marital_Status" +), 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_a/m1/sql/v2q_m1_6cdd84097e92fbfc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_6cdd84097e92fbfc.sql new file mode 100644 index 0000000000000000000000000000000000000000..27556fdc6e9db08e46f9dfad4ba86a20a03f8c29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_6cdd84097e92fbfc.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_6cdd84097e92fbfc +-- problem_id: v2p_m1_3f5ba8de22da416c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Job_Level", + SUM(CAST("Productivity_Score" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Job_Level" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."Job_Level", + 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_a/m1/sql/v2q_m1_72a042837e3c3c9b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72a042837e3c3c9b.sql new file mode 100644 index 0000000000000000000000000000000000000000..70d61b115be3d2ed56180925fbb40dab7079c549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72a042837e3c3c9b.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_72a042837e3c3c9b +-- problem_id: v2p_m1_64ec53af34ff0774 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Company_Size", + CAST("Efficiency_Rating" AS REAL) AS "Efficiency_Rating_num" + FROM "m1" + WHERE "Company_Size" IS NOT NULL + AND "Efficiency_Rating" IS NOT NULL + AND TRIM("Efficiency_Rating") <> '' +), +"ranked" AS ( + SELECT + "Company_Size", + "Efficiency_Rating_num", + ROW_NUMBER() OVER ( + PARTITION BY "Company_Size" + ORDER BY "Efficiency_Rating_num" + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Company_Size") AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT + "Company_Size", + "Efficiency_Rating_num", + "rn", + "cnt", + ((0.95 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1.0) = CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +), +"percentiles" AS ( + SELECT + "Company_Size", + MAX(CASE WHEN "rn" = "lower_rn" THEN "Efficiency_Rating_num" END) AS "lower_val", + MAX(CASE WHEN "rn" = "upper_rn" THEN "Efficiency_Rating_num" END) AS "upper_val", + MAX("pos") AS "pos" + FROM "positions" + GROUP BY "Company_Size" +) +SELECT + "Company_Size", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lower_val" + ELSE "lower_val" + ("pos" - CAST("pos" AS INTEGER)) * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, "Company_Size"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72e06c3ae6c87d9c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72e06c3ae6c87d9c.sql new file mode 100644 index 0000000000000000000000000000000000000000..371d0b165b968212a612de6d57835643afae715b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_72e06c3ae6c87d9c.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_72e06c3ae6c87d9c +-- problem_id: v2p_m1_8d53a70abd003231 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Has_Children" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_760a40094161b4fe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_760a40094161b4fe.sql new file mode 100644 index 0000000000000000000000000000000000000000..256483f335b6a9fc68f1b6c42f2f42b1edde51c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_760a40094161b4fe.sql @@ -0,0 +1,57 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_760a40094161b4fe +-- problem_id: v2p_m1_a9d39415a956fb97 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Marital_Status" AS "group_col", + CAST("Work_Hours_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Marital_Status" + ORDER BY CAST("Work_Hours_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Marital_Status" + ) AS "cnt" + FROM "m1" + WHERE "Marital_Status" IS NOT NULL + AND "Work_Hours_Per_Week" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + ("cnt" - 1) * 0.95) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.95) = CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + THEN CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + ELSE CAST((1.0 + ("cnt" - 1) * 0.95) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +) +SELECT + p."group_col" AS "Marital_Status", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + ELSE + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + + (p."pos" - p."lower_rn") * ( + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure_value" END) - + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure_value" END) + ) + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ranked" AS r + ON r."group_col" = p."group_col" +GROUP BY p."group_col", p."cnt", p."pos", p."lower_rn", p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7644ac366e675269.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7644ac366e675269.sql new file mode 100644 index 0000000000000000000000000000000000000000..ae7b678a774bdf2271d51446c4942d1c4c6c8a50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7644ac366e675269.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_7644ac366e675269 +-- problem_id: v2p_m1_44e71beddd8fa2fe +-- realization_mode: agent +-- source_kind: agent +SELECT "Gender", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Gender" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_76edc40b3c5fcfd0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_76edc40b3c5fcfd0.sql new file mode 100644 index 0000000000000000000000000000000000000000..7644e0c3d32f23ff6141696832f97fd77621eb5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_76edc40b3c5fcfd0.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_76edc40b3c5fcfd0 +-- problem_id: v2p_m1_ac9f70ef2395fa64 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Manager_Support_Level", + "Task_Completion_Rate", + SUM(CAST("Age" AS REAL)) AS "total_measure", + SUM(CAST("Age" AS REAL)) * 100.0 / SUM(SUM(CAST("Age" AS REAL))) OVER (PARTITION BY "Manager_Support_Level") AS "share_within_group" +FROM "m1" +GROUP BY "Manager_Support_Level", "Task_Completion_Rate" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7754282e702214f2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7754282e702214f2.sql new file mode 100644 index 0000000000000000000000000000000000000000..6f8cf3882f82edce6bf06f9e55f98474eb138d08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7754282e702214f2.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_7754282e702214f2 +-- problem_id: v2p_m1_2fa9a4963b2ac112 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Industry" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Industry" +), 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_a/m1/sql/v2q_m1_77ca51d9786db7c5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_77ca51d9786db7c5.sql new file mode 100644 index 0000000000000000000000000000000000000000..c7a807ba6c87e9a2f301a366d0e8d39089838927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_77ca51d9786db7c5.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_77ca51d9786db7c5 +-- problem_id: v2p_m1_be14ad0454a84e81 +-- realization_mode: agent +-- source_kind: agent +SELECT "Job_Level", SUM(CAST("Quality_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Job_Level" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7879ba783503fa04.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7879ba783503fa04.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb4438459d656eed521c7b47ad37cbb923272921 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7879ba783503fa04.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m1_7879ba783503fa04 +-- problem_id: v2p_m1_b4f90b669ccf69dc +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "Work_Life_Balance", + AVG(CAST("Innovation_Score" AS REAL)) OVER (PARTITION BY "Work_Life_Balance") AS avg_measure +FROM "m1" +WHERE TRIM(COALESCE("Work_Life_Balance", '')) <> '' + AND TRIM(COALESCE("Innovation_Score", '')) <> '' + AND "Work_Life_Balance" IN ( + SELECT "Work_Life_Balance" + FROM "m1" + WHERE TRIM(COALESCE("Work_Life_Balance", '')) <> '' + AND TRIM(COALESCE("Innovation_Score", '')) <> '' + GROUP BY "Work_Life_Balance" + HAVING COUNT(*) >= 5 + ) +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7907774275319f0c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7907774275319f0c.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3c2eb484e95b4db6d9b7e762b49a011869c5a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7907774275319f0c.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_7907774275319f0c +-- problem_id: v2p_m1_b96e94372f31c33d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Survey_Date" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Survey_Date" +), 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_a/m1/sql/v2q_m1_7aff9a4eb56d4661.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7aff9a4eb56d4661.sql new file mode 100644 index 0000000000000000000000000000000000000000..3522cb5ff3d8a0c1640dec823e5dfe99fed83bc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7aff9a4eb56d4661.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_7aff9a4eb56d4661 +-- problem_id: v2p_m1_b470c7b718f37224 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Home_Office_Quality", + SUM(CASE WHEN "Has_Children" = 'No' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Has_Children" = 'Yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Home_Office_Quality" +) +SELECT + "Home_Office_Quality", + 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_a/m1/sql/v2q_m1_7b0c01e142f826fb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7b0c01e142f826fb.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bb536ff4cbe021ed3dd807ead806e3f20714bde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7b0c01e142f826fb.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_7b0c01e142f826fb +-- problem_id: v2p_m1_88a38accf2c5cae4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Survey_Date", + AVG(CASE WHEN "Internet_Speed_Category" = 'Fast (50-100 Mbps)' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Survey_Date" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7c50fcbb8b0ad962.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7c50fcbb8b0ad962.sql new file mode 100644 index 0000000000000000000000000000000000000000..c5cc22a2e9d5b66ae0b0d610f18008e0c7721527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7c50fcbb8b0ad962.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_7c50fcbb8b0ad962 +-- problem_id: v2p_m1_991ed6755e5292f3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Company_Size", SUM(CAST(NULLIF("Task_Completion_Rate", '') AS REAL)) AS group_value + FROM "m1" + GROUP BY "Company_Size" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Company_Size", 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_a/m1/sql/v2q_m1_7e18b1f6e1301941.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7e18b1f6e1301941.sql new file mode 100644 index 0000000000000000000000000000000000000000..497eec7df25bc4e25eb7654a57c9f44dde45ef9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7e18b1f6e1301941.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_7e18b1f6e1301941 +-- problem_id: v2p_m1_f53b07760c8a89b2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Department", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Department" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Department", 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_a/m1/sql/v2q_m1_7fa97dab5042f806.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7fa97dab5042f806.sql new file mode 100644 index 0000000000000000000000000000000000000000..2a40e95694dfc917b4688c38221e8d312b6c0834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_7fa97dab5042f806.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_7fa97dab5042f806 +-- problem_id: v2p_m1_b0d530d1e12b0ed7 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Department" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Department" +), 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_a/m1/sql/v2q_m1_803573e81b9fe214.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_803573e81b9fe214.sql new file mode 100644 index 0000000000000000000000000000000000000000..b9886d0c0d9415ceee398e47bb62068fdaf41244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_803573e81b9fe214.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_803573e81b9fe214 +-- problem_id: v2p_m1_68e392e089eba143 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Manager_Support_Level" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Manager_Support_Level" +), 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_a/m1/sql/v2q_m1_817f747525c5fb34.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_817f747525c5fb34.sql new file mode 100644 index 0000000000000000000000000000000000000000..42aa1a14e18c2f616e3cdec373018149aec7fc0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_817f747525c5fb34.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_817f747525c5fb34 +-- problem_id: v2p_m1_8f1a6895c0e29d28 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Employee_ID", + COUNT(*) AS support, + AVG("Age") AS avg_response +FROM "m1" +GROUP BY "Employee_ID" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_87ce556639d1b4eb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_87ce556639d1b4eb.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce61e411dcd05c4263ed2ae4f3450381ccf0ccb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_87ce556639d1b4eb.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_87ce556639d1b4eb +-- problem_id: v2p_m1_b3708d8030b49e0d +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", + AVG(CASE WHEN "Home_Office_Quality" = 'Good' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_880f452f0c5961bf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_880f452f0c5961bf.sql new file mode 100644 index 0000000000000000000000000000000000000000..f6fe4353b94a6c87b598f7f5cafa81ef9bd470a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_880f452f0c5961bf.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_880f452f0c5961bf +-- problem_id: v2p_m1_9570a8fc9b53b2f1 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Marital_Status", + SUM(CASE WHEN "Manager_Support_Level" = 'Moderate' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Manager_Support_Level" = 'High' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Marital_Status" +) +SELECT + "Marital_Status", + 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_a/m1/sql/v2q_m1_8938c70caedfbf2c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8938c70caedfbf2c.sql new file mode 100644 index 0000000000000000000000000000000000000000..37865b8206302b5ee4973fe6e6c4a024ef5b9551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8938c70caedfbf2c.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8938c70caedfbf2c +-- problem_id: v2p_m1_69991e79e70a54f8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", "Job_Satisfaction", + SUM(CAST("Task_Completion_Rate" AS REAL)) AS total_measure, + SUM(CAST("Task_Completion_Rate" AS REAL)) * 100.0 / SUM(SUM(CAST("Task_Completion_Rate" AS REAL))) OVER (PARTITION BY "Response_Quality") AS share_within_group +FROM "m1" +GROUP BY "Response_Quality", "Job_Satisfaction" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b2d506fb28f1989.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b2d506fb28f1989.sql new file mode 100644 index 0000000000000000000000000000000000000000..019521021e939e789d790d303b3d300228d25b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b2d506fb28f1989.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_8b2d506fb28f1989 +-- problem_id: v2p_m1_de731b72b4c9e145 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Work_Life_Balance" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Work_Life_Balance" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b5292ded8624754.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b5292ded8624754.sql new file mode 100644 index 0000000000000000000000000000000000000000..330725a49a8e7cc80eb7bc977b554b3d9ae6edfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b5292ded8624754.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8b5292ded8624754 +-- problem_id: v2p_m1_b3d765bc44ec9d73 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Marital_Status", + CAST("Work_Hours_Per_Week" AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "Marital_Status" + ORDER BY CAST("Work_Hours_Per_Week" AS REAL) + ) AS "cum_dist", + COUNT(*) OVER (PARTITION BY "Marital_Status") AS "group_size" + FROM "m1" + WHERE "Marital_Status" IS NOT NULL + AND "Work_Hours_Per_Week" IS NOT NULL +) +SELECT + "Marital_Status", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.9 + AND "group_size" >= 5 +GROUP BY "Marital_Status" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b72a0ea47b83634.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b72a0ea47b83634.sql new file mode 100644 index 0000000000000000000000000000000000000000..6b728d8f4b81717b38f8e6be4daf1c3952912613 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8b72a0ea47b83634.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8b72a0ea47b83634 +-- problem_id: v2p_m1_05fa34333d005f3b +-- realization_mode: agent +-- source_kind: agent +SELECT "Survey_Date", COUNT(*) AS row_count +FROM "m1" +GROUP BY "Survey_Date" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c03c83d21249bbe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c03c83d21249bbe.sql new file mode 100644 index 0000000000000000000000000000000000000000..d057d60141ef4dec62b5e6699f0df9820607fb91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c03c83d21249bbe.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8c03c83d21249bbe +-- problem_id: v2p_m1_13794a03b43b4ea6 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Location_Type" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Location_Type" +), 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_a/m1/sql/v2q_m1_8c8663f240755a7f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c8663f240755a7f.sql new file mode 100644 index 0000000000000000000000000000000000000000..a92d241e0b1b55b8f3a3455fb2aeee0c52bafa63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8c8663f240755a7f.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8c8663f240755a7f +-- problem_id: v2p_m1_b0de080c6c03d6af +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Home_Office_Quality", COUNT(*) AS "row_count" +FROM "m1" +WHERE CAST("Efficiency_Rating" AS REAL) >= 95.0 +GROUP BY "Has_Children", "Home_Office_Quality" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8ed1fe529e96b24b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8ed1fe529e96b24b.sql new file mode 100644 index 0000000000000000000000000000000000000000..e59ac069b2aa733549f5e2c55560e45ece376ad3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8ed1fe529e96b24b.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_8ed1fe529e96b24b +-- problem_id: v2p_m1_b4a857dd469d63db +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("Commute_Time_Minutes" AS REAL) AS "Commute_Time_Minutes", + NTILE(10) OVER (ORDER BY CAST("Commute_Time_Minutes" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Commute_Time_Minutes" IS NOT NULL + AND TRIM("Commute_Time_Minutes") <> '' +) +SELECT "Commute_Time_Minutes" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "Commute_Time_Minutes" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8f7e110b469cd788.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8f7e110b469cd788.sql new file mode 100644 index 0000000000000000000000000000000000000000..74d6f9a4cfd4dd18f6c99e0519b4705b60ac5aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_8f7e110b469cd788.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_8f7e110b469cd788 +-- problem_id: v2p_m1_99730250ef39ace4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Company_Size", + CAST("Efficiency_Rating" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "Company_Size" + ORDER BY CAST("Efficiency_Rating" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "Company_Size") AS "cnt" + FROM "m1" + WHERE "Company_Size" IS NOT NULL + AND "Efficiency_Rating" IS NOT NULL +), +"picked" AS ( + SELECT + "Company_Size", + "measure", + "rn", + CAST((0.9 * "cnt") + 0.9999999999 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "Company_Size", + "measure" AS "percentile_measure" +FROM "picked" +WHERE "rn" = "target_rn" +ORDER BY "percentile_measure" DESC, "Company_Size" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_964a68cdf278d439.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_964a68cdf278d439.sql new file mode 100644 index 0000000000000000000000000000000000000000..7e98125af95b51824f8d568621f0df5afc30d7ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_964a68cdf278d439.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_964a68cdf278d439 +-- problem_id: v2p_m1_dbc506494c54f98a +-- realization_mode: agent +-- source_kind: agent +SELECT + "Company_Size", + "Age", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS total_measure, + SUM(CAST("Commute_Time_Minutes" AS REAL)) * 100.0 / SUM(SUM(CAST("Commute_Time_Minutes" AS REAL))) OVER (PARTITION BY "Company_Size") AS share_within_group +FROM "m1" +WHERE "Company_Size" IS NOT NULL + AND "Age" IS NOT NULL + AND "Commute_Time_Minutes" IS NOT NULL +GROUP BY "Company_Size", "Age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_98563080c9a3cf68.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_98563080c9a3cf68.sql new file mode 100644 index 0000000000000000000000000000000000000000..f18a3fabebd2966cfd714dc3a576dfaffb988b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_98563080c9a3cf68.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_98563080c9a3cf68 +-- problem_id: v2p_m1_c536c84e6e4dd969 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "Innovation_Score", + NTILE(10) OVER (ORDER BY CAST("Innovation_Score" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Innovation_Score" IS NOT NULL +) +SELECT "Innovation_Score" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("Innovation_Score" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a09417f47adcbf76.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a09417f47adcbf76.sql new file mode 100644 index 0000000000000000000000000000000000000000..24a4c0287fa7a6ebd56406ff48b06bb55a2505cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a09417f47adcbf76.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_a09417f47adcbf76 +-- problem_id: v2p_m1_fd18118e7c70e885 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Team_Collaboration_Frequency", + "Quality_Score", + SUM(CAST("Years_Experience" AS REAL)) AS total_measure, + SUM(CAST("Years_Experience" AS REAL)) * 100.0 / SUM(SUM(CAST("Years_Experience" AS REAL))) OVER (PARTITION BY "Team_Collaboration_Frequency") AS share_within_group +FROM "m1" +WHERE "Team_Collaboration_Frequency" IS NOT NULL + AND "Quality_Score" IS NOT NULL + AND "Years_Experience" IS NOT NULL +GROUP BY "Team_Collaboration_Frequency", "Quality_Score" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a31825a6d36707af.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a31825a6d36707af.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3bf21e4edc238a0db65bffec40ba909efbde415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a31825a6d36707af.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_a31825a6d36707af +-- problem_id: v2p_m1_ff3c42c8bb9bb9e3 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Location_Type" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Location_Type" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a46a36a7def755f1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a46a36a7def755f1.sql new file mode 100644 index 0000000000000000000000000000000000000000..83f1e1c15a043ecfc1c7ae7f40c92bfeede8ae79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a46a36a7def755f1.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_a46a36a7def755f1 +-- problem_id: v2p_m1_7f9978c5f1117ba4 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "Internet_Speed_Category", SUM(CAST("Efficiency_Rating" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Internet_Speed_Category" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."Internet_Speed_Category", 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_a/m1/sql/v2q_m1_a7f3a45c099a8422.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a7f3a45c099a8422.sql new file mode 100644 index 0000000000000000000000000000000000000000..3edf32bdc7d82a448c32bfd1cfe0c0b9a6d48b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_a7f3a45c099a8422.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_a7f3a45c099a8422 +-- problem_id: v2p_m1_0d2fa6441681b93b +-- realization_mode: agent +-- source_kind: agent +SELECT + "Job_Level", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Job_Level" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aa25f1891be005fe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aa25f1891be005fe.sql new file mode 100644 index 0000000000000000000000000000000000000000..bac055ef7b500c3ad059f3f54c2db3e049086685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aa25f1891be005fe.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_aa25f1891be005fe +-- problem_id: v2p_m1_94fb69febdd4cdc1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Industry", + SUM(CASE WHEN "Marital_Status" = 'Married' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "Marital_Status" = 'Single' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m1" + GROUP BY "Industry" +) +SELECT "Industry", + 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_a/m1/sql/v2q_m1_aadc3c1faafeb752.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aadc3c1faafeb752.sql new file mode 100644 index 0000000000000000000000000000000000000000..c52cbae816883654447e8045166250eefd3cb098 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_aadc3c1faafeb752.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_aadc3c1faafeb752 +-- problem_id: v2p_m1_5e72fed0aa2ca818 +-- realization_mode: agent +-- source_kind: agent +SELECT "Home_Office_Quality", "Work_Hours_Per_Week", + SUM(CAST("Stress_Level" AS REAL)) AS total_measure, + SUM(CAST("Stress_Level" AS REAL)) * 100.0 / SUM(SUM(CAST("Stress_Level" AS REAL))) OVER (PARTITION BY "Home_Office_Quality") AS share_within_group +FROM "m1" +GROUP BY "Home_Office_Quality", "Work_Hours_Per_Week" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b068fb4b170e2067.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b068fb4b170e2067.sql new file mode 100644 index 0000000000000000000000000000000000000000..6243c19e3d8138b2585ffb350c32fe3a38fa47b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b068fb4b170e2067.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_b068fb4b170e2067 +-- problem_id: v2p_m1_5217cba70405517b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Work_Hours_Per_Week", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Work_Hours_Per_Week" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b0f40efb5992b84c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b0f40efb5992b84c.sql new file mode 100644 index 0000000000000000000000000000000000000000..44581adc9d20deeba283d5a2f2ecf06900fa9c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b0f40efb5992b84c.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b0f40efb5992b84c +-- problem_id: v2p_m1_95c25cf2c547e86f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Has_Children", + SUM(CASE WHEN "Team_Collaboration_Frequency" = 'Daily' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Team_Collaboration_Frequency" = 'Few times per week' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Has_Children" +) +SELECT + "Has_Children", + 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_a/m1/sql/v2q_m1_b2a704c3a211637e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b2a704c3a211637e.sql new file mode 100644 index 0000000000000000000000000000000000000000..20f9cf1665d45a8e654c6d84b93f9b6af13834d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b2a704c3a211637e.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b2a704c3a211637e +-- problem_id: v2p_m1_2c5d8c71727dc7e9 +-- realization_mode: agent +-- source_kind: agent +SELECT "Department", SUM(CAST("Task_Completion_Rate" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Department" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b77815aeee05cd58.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b77815aeee05cd58.sql new file mode 100644 index 0000000000000000000000000000000000000000..20b6a94147e4366d7412ba87d8d9b7d31ba55052 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b77815aeee05cd58.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_b77815aeee05cd58 +-- problem_id: v2p_m1_db224dd3d8b4b4f8 +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", + AVG(CASE WHEN "Response_Quality" = 'High' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Education_Level" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b80ca91cec049995.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b80ca91cec049995.sql new file mode 100644 index 0000000000000000000000000000000000000000..8645b100e515967c20a3b393de8184de4e58f5bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b80ca91cec049995.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b80ca91cec049995 +-- problem_id: v2p_m1_7ff4d256ecaa60fa +-- realization_mode: agent +-- source_kind: agent +SELECT + "Company_Size", + "Age", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS total_measure, + SUM(CAST("Commute_Time_Minutes" AS REAL)) * 100.0 + / SUM(SUM(CAST("Commute_Time_Minutes" AS REAL))) OVER (PARTITION BY "Company_Size") AS share_within_group +FROM "m1" +WHERE "Company_Size" IS NOT NULL + AND "Age" IS NOT NULL + AND "Commute_Time_Minutes" IS NOT NULL + AND TRIM("Commute_Time_Minutes") <> '' +GROUP BY "Company_Size", "Age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b88b57c0a6139d5b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b88b57c0a6139d5b.sql new file mode 100644 index 0000000000000000000000000000000000000000..689b6b841740f6afcf7d6a3b1a188c0fd9dd3a95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_b88b57c0a6139d5b.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_b88b57c0a6139d5b +-- problem_id: v2p_m1_f7d3184ca267e302 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Industry", COUNT(*) AS "row_count" +FROM "m1" +WHERE CAST("Innovation_Score" AS REAL) >= 84.2 +GROUP BY "Has_Children", "Industry" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ba7002d219507656.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ba7002d219507656.sql new file mode 100644 index 0000000000000000000000000000000000000000..fb31292564d8928d9107d83c052e73018f68f8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ba7002d219507656.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_ba7002d219507656 +-- problem_id: v2p_m1_e976b1018250a839 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Survey_Date" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Survey_Date" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bc9cc9b298fd5a4b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bc9cc9b298fd5a4b.sql new file mode 100644 index 0000000000000000000000000000000000000000..71ca9a87f589348eaf36b7cc6d5b1f907198e726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bc9cc9b298fd5a4b.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bc9cc9b298fd5a4b +-- problem_id: v2p_m1_35aebcdea7056c16 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Team_Collaboration_Frequency" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Team_Collaboration_Frequency" +), 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_a/m1/sql/v2q_m1_bd42c60ca7fd5968.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bd42c60ca7fd5968.sql new file mode 100644 index 0000000000000000000000000000000000000000..df53691b5203c225c30c6fedae5596bdab6e4370 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bd42c60ca7fd5968.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bd42c60ca7fd5968 +-- problem_id: v2p_m1_78b365f84b4bc6e2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Home_Office_Quality" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Home_Office_Quality" +), 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_a/m1/sql/v2q_m1_bd80cb4008dd9070.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bd80cb4008dd9070.sql new file mode 100644 index 0000000000000000000000000000000000000000..16b147c53751c6b31cd065ad9ab31239bf45bf4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bd80cb4008dd9070.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_bd80cb4008dd9070 +-- problem_id: v2p_m1_0008b52733c2a7d7 +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Has_Children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bdbfc29aa9bd9eb0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bdbfc29aa9bd9eb0.sql new file mode 100644 index 0000000000000000000000000000000000000000..7cb80761ac6d960f465c46b0530417ed93140d95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_bdbfc29aa9bd9eb0.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_bdbfc29aa9bd9eb0 +-- problem_id: v2p_m1_696aab537cd6b6c2 +-- realization_mode: agent +-- source_kind: agent +SELECT "Education_Level", + AVG(CASE WHEN "Response_Quality" = 'Medium' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Education_Level" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c090316307136898.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c090316307136898.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7ba37a3dc90d091bbde5ce0a31798cae0cd7194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c090316307136898.sql @@ -0,0 +1,49 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c090316307136898 +-- problem_id: v2p_m1_b79886dcf9365d10 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Department", + CAST("Quality_Score" AS REAL) AS "quality_score", + ROW_NUMBER() OVER ( + PARTITION BY "Department" + ORDER BY CAST("Quality_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Department" + ) AS "cnt" + FROM "m1" + WHERE "Department" IS NOT NULL + AND "Quality_Score" IS NOT NULL +), +"cutoffs" AS ( + SELECT + "Department", + "quality_score", + "rn", + "cnt", + CAST((0.95 * "cnt") AS INTEGER) + + CASE + WHEN (0.95 * "cnt") > CAST((0.95 * "cnt") AS INTEGER) THEN 1 + ELSE 0 + END AS "target_rn" + FROM "ranked" + WHERE "cnt" >= 5 +) +SELECT + "Department", + MIN("quality_score") AS "percentile_measure" +FROM "cutoffs" +WHERE "rn" >= "target_rn" +GROUP BY "Department" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c157c1bffc2a5f53.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c157c1bffc2a5f53.sql new file mode 100644 index 0000000000000000000000000000000000000000..afa76f3534a2a227112a6c0755afab130f7e3396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c157c1bffc2a5f53.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c157c1bffc2a5f53 +-- problem_id: v2p_m1_a54a42add1a68556 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Company_Size", + SUM(CAST("Task_Completion_Rate" AS REAL)) AS "group_value" + FROM "m1" + WHERE "Company_Size" IS NOT NULL + AND "Company_Size" <> '' + AND "Task_Completion_Rate" IS NOT NULL + AND "Task_Completion_Rate" <> '' + GROUP BY "Company_Size" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + "g"."Company_Size", + "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_a/m1/sql/v2q_m1_c19b4d1740ce0bf4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c19b4d1740ce0bf4.sql new file mode 100644 index 0000000000000000000000000000000000000000..80395e6f60c4cb59824479652277cebebb9f7103 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c19b4d1740ce0bf4.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c19b4d1740ce0bf4 +-- problem_id: v2p_m1_7b6f8002c4f53df9 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Team_Collaboration_Frequency", + SUM(CAST("Commute_Time_Minutes" AS REAL)) AS "group_value" + FROM "m1" + WHERE "Team_Collaboration_Frequency" IS NOT NULL + AND "Team_Collaboration_Frequency" <> '' + AND "Commute_Time_Minutes" IS NOT NULL + AND "Commute_Time_Minutes" <> '' + GROUP BY "Team_Collaboration_Frequency" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Team_Collaboration_Frequency", + 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_a/m1/sql/v2q_m1_c29800b3f1b40fad.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c29800b3f1b40fad.sql new file mode 100644 index 0000000000000000000000000000000000000000..67ba9821a6e4e0bf9b7f6f5110b94f2fc1d13af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c29800b3f1b40fad.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c29800b3f1b40fad +-- problem_id: v2p_m1_9216d2273a7ee457 +-- realization_mode: agent +-- source_kind: agent +SELECT "Stress_Level", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Stress_Level" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c34eab143f80759a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c34eab143f80759a.sql new file mode 100644 index 0000000000000000000000000000000000000000..f71362f5414e9496a666698f5445cbd14c6a76f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c34eab143f80759a.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_c34eab143f80759a +-- problem_id: v2p_m1_ebf2e5490b074ecb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Task_Completion_Rate", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Task_Completion_Rate" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c3ea5ca228679609.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c3ea5ca228679609.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a5a66c209837938dcf062c21164dc885c863a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c3ea5ca228679609.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_c3ea5ca228679609 +-- problem_id: v2p_m1_3759386e84b603fa +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Innovation_Score", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Innovation_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c5d752a9ffd5e1d6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c5d752a9ffd5e1d6.sql new file mode 100644 index 0000000000000000000000000000000000000000..a54ac16b4b7d7da74500b1518bcd7b37ab467762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c5d752a9ffd5e1d6.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c5d752a9ffd5e1d6 +-- problem_id: v2p_m1_07910b1d18f06d71 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "Stress_Level", + SUM(CAST("Job_Satisfaction" AS REAL)) AS group_value + FROM "m1" + WHERE "Stress_Level" IS NOT NULL + AND "Job_Satisfaction" IS NOT NULL + GROUP BY "Stress_Level" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."Stress_Level", + 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_a/m1/sql/v2q_m1_c7c146b9ba6a1ca1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7c146b9ba6a1ca1.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8a30a713852a198704d85b2876fc1958d3f9966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7c146b9ba6a1ca1.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_c7c146b9ba6a1ca1 +-- problem_id: v2p_m1_29bbd1db9b6b1cbf +-- realization_mode: agent +-- source_kind: agent +SELECT "Marital_Status", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Marital_Status" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7f9e8612803aa10.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7f9e8612803aa10.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3933b33d144886825a6f15d69f591be176c9e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_c7f9e8612803aa10.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_c7f9e8612803aa10 +-- problem_id: v2p_m1_349090ae9203873f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Marital_Status" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Marital_Status" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cedf08d47958fc8f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cedf08d47958fc8f.sql new file mode 100644 index 0000000000000000000000000000000000000000..963dddebb0bd1110298f6509aded1aa5058caaa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cedf08d47958fc8f.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_cedf08d47958fc8f +-- problem_id: v2p_m1_5635effa0287652f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "Industry", + CAST("Meetings_Per_Week" AS REAL) AS "measure_value", + COUNT(*) OVER (PARTITION BY "Industry") AS "group_size", + CUME_DIST() OVER ( + PARTITION BY "Industry" + ORDER BY CAST("Meetings_Per_Week" AS REAL) + ) AS "cume_dist_value" + FROM "m1" + WHERE "Industry" IS NOT NULL + AND "Meetings_Per_Week" IS NOT NULL +), +"percentiles" AS ( + SELECT + "Industry", + MIN("measure_value") AS "percentile_measure", + MAX("group_size") AS "group_size" + FROM "ranked" + WHERE "cume_dist_value" >= 0.9 + GROUP BY "Industry" +) +SELECT + "Industry", + "percentile_measure" +FROM "percentiles" +WHERE "group_size" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cf451603badf73b4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cf451603badf73b4.sql new file mode 100644 index 0000000000000000000000000000000000000000..a3bacdd2da7bf21d9a479eeb47cda0b650cb3042 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_cf451603badf73b4.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_cf451603badf73b4 +-- problem_id: v2p_m1_cf90bd1d83300c71 +-- realization_mode: agent +-- source_kind: agent +SELECT "Team_Collaboration_Frequency", + AVG(CASE WHEN "Job_Level" = 'Mid-Level' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Team_Collaboration_Frequency" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0a659e45057df42.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0a659e45057df42.sql new file mode 100644 index 0000000000000000000000000000000000000000..001febeb81af701e26ef5ccd711a7bb0bf8f448a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0a659e45057df42.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d0a659e45057df42 +-- problem_id: v2p_m1_371eb7055aaa4c2f +-- realization_mode: agent +-- source_kind: agent +SELECT "Has_Children", "Manager_Support_Level", COUNT(*) AS row_count +FROM "m1" +WHERE CAST("Commute_Time_Minutes" AS REAL) >= 38.0 +GROUP BY "Has_Children", "Manager_Support_Level" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0aa13aa38e488cc.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0aa13aa38e488cc.sql new file mode 100644 index 0000000000000000000000000000000000000000..18d2d177f457acb6ba04926059e5a352976f8981 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d0aa13aa38e488cc.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d0aa13aa38e488cc +-- problem_id: v2p_m1_a5bdfab82dab486b +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Job_Level", + CAST("Innovation_Score" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Job_Level" + ORDER BY CAST("Innovation_Score" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Job_Level" + ) AS "cnt" + FROM "m1" + WHERE "Job_Level" IS NOT NULL + AND "Innovation_Score" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "Job_Level", + "cnt", + (("cnt" - 1) * 0.9) AS "raw_pos", + CAST((("cnt" - 1) * 0.9) AS INTEGER) + 1 AS "lower_rn", + CASE + WHEN (("cnt" - 1) * 0.9) = CAST((("cnt" - 1) * 0.9) AS INTEGER) THEN CAST((("cnt" - 1) * 0.9) AS INTEGER) + 1 + ELSE CAST((("cnt" - 1) * 0.9) AS INTEGER) + 2 + END AS "upper_rn" + FROM "ordered" +), +"picked" AS ( + SELECT + o."Job_Level", + p."raw_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "ordered" AS o + JOIN "positions" AS p + ON o."Job_Level" = p."Job_Level" + GROUP BY + o."Job_Level", + p."raw_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "Job_Level", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("raw_pos" - CAST("raw_pos" AS INTEGER)) * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d1812e90e549c4d7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d1812e90e549c4d7.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a4776f9325019eaed9c0362736f3434e10ea2b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d1812e90e549c4d7.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_d1812e90e549c4d7 +-- problem_id: v2p_m1_36fdab3501ce4b5f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Internet_Speed_Category", + SUM(CASE WHEN "Location_Type" = 'Suburban' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "Location_Type" = 'Urban' THEN 1 ELSE 0 END) AS denominator_count + FROM "m1" + GROUP BY "Internet_Speed_Category" +) +SELECT "Internet_Speed_Category", + 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_a/m1/sql/v2q_m1_d4bbf84268ee27df.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d4bbf84268ee27df.sql new file mode 100644 index 0000000000000000000000000000000000000000..a07141eef1229d872ef1e68d630f0526b10e9c25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d4bbf84268ee27df.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m1_d4bbf84268ee27df +-- problem_id: v2p_m1_53fa684219558d36 +-- realization_mode: agent +-- source_kind: agent +SELECT "Location_Type", SUM(CAST("Productivity_Score" AS REAL)) AS total_measure +FROM "m1" +GROUP BY "Location_Type" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d54ebc49f225bcc6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d54ebc49f225bcc6.sql new file mode 100644 index 0000000000000000000000000000000000000000..72a9be93a70dfcc2c8660b615fd0a239684b171d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d54ebc49f225bcc6.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_d54ebc49f225bcc6 +-- problem_id: v2p_m1_db5d71e9b8c353f0 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Gender" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Gender" +), 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_a/m1/sql/v2q_m1_d944891a5e1d3c06.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d944891a5e1d3c06.sql new file mode 100644 index 0000000000000000000000000000000000000000..2858ab2d04dbf73b6566c4024168a87720c3fd33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_d944891a5e1d3c06.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_d944891a5e1d3c06 +-- problem_id: v2p_m1_e6b9c172ddd31594 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Company_Size" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Company_Size" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_db58c55ec04c817e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_db58c55ec04c817e.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a99716df620656cbca686ed1e50d7a15d00cf27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_db58c55ec04c817e.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_db58c55ec04c817e +-- problem_id: v2p_m1_e27fd24edc12cbf7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Response_Quality", + "Job_Satisfaction", + SUM(CAST("Task_Completion_Rate" AS REAL)) AS total_measure, + SUM(CAST("Task_Completion_Rate" AS REAL)) * 100.0 / SUM(SUM(CAST("Task_Completion_Rate" AS REAL))) OVER (PARTITION BY "Response_Quality") AS share_within_group +FROM "m1" +WHERE "Response_Quality" IS NOT NULL + AND "Job_Satisfaction" IS NOT NULL + AND "Task_Completion_Rate" IS NOT NULL +GROUP BY "Response_Quality", "Job_Satisfaction" +ORDER BY share_within_group DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_de76b4a85eebf400.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_de76b4a85eebf400.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f59e06db77d84e54b23077b79877b2347e43862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_de76b4a85eebf400.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_de76b4a85eebf400 +-- problem_id: v2p_m1_0971bdcdf8b67965 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", + AVG(CASE WHEN "Manager_Support_Level" = 'Moderate' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Response_Quality" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e020021a868a8665.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e020021a868a8665.sql new file mode 100644 index 0000000000000000000000000000000000000000..bfa3a3254d1c521a7ef64af640c760f0eb886e77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e020021a868a8665.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e020021a868a8665 +-- problem_id: v2p_m1_24753dfab6ed580c +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "Industry", + CAST("Meetings_Per_Week" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "Industry" + ORDER BY CAST("Meetings_Per_Week" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Industry" + ) AS "n" + FROM "m1" + WHERE "Industry" IS NOT NULL + AND "Meetings_Per_Week" IS NOT NULL + AND TRIM("Meetings_Per_Week") <> '' +), +"bounds" AS ( + SELECT + "Industry", + 1.0 + 0.95 * (MAX("n") - 1) AS "pos", + CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) AS "lower_rn", + CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) + + CASE + WHEN (1.0 + 0.95 * (MAX("n") - 1)) > CAST(1.0 + 0.95 * (MAX("n") - 1) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ordered" + GROUP BY "Industry" + HAVING MAX("n") >= 5 +) +SELECT + b."Industry", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + + (b."pos" - b."lower_rn") * ( + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."measure_value" END) - + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."measure_value" END) + ) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Industry" = b."Industry" +GROUP BY + b."Industry", + b."pos", + b."lower_rn", + b."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e1588fcccccc4ac0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e1588fcccccc4ac0.sql new file mode 100644 index 0000000000000000000000000000000000000000..e8d5df6bd1e50bea819ccbffe9f061f7526099d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e1588fcccccc4ac0.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_e1588fcccccc4ac0 +-- problem_id: v2p_m1_8ce786a0e18450bb +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "Efficiency_Rating", + NTILE(10) OVER (ORDER BY CAST("Efficiency_Rating" AS REAL) DESC) AS tail_bucket + FROM "m1" +) +SELECT "Efficiency_Rating" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("Efficiency_Rating" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e4eee0305f038aaa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e4eee0305f038aaa.sql new file mode 100644 index 0000000000000000000000000000000000000000..46f9d9fa6d5bac88811bf2f2fe0ba33b7f295563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e4eee0305f038aaa.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m1_e4eee0305f038aaa +-- problem_id: v2p_m1_9f06775f54aa4087 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Industry" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Industry" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e63bd12587827a46.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e63bd12587827a46.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb7ef7d715d7d97d9fd416490ed91c5be9b46f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e63bd12587827a46.sql @@ -0,0 +1,74 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e63bd12587827a46 +-- problem_id: v2p_m1_816e2b36eccf8ba6 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "Has_Children", + CAST("Productivity_Score" AS REAL) AS "measure" + FROM "m1" + WHERE "Has_Children" IS NOT NULL + AND "Productivity_Score" IS NOT NULL +), +"ordered" AS ( + SELECT + "Has_Children", + "measure", + ROW_NUMBER() OVER ( + PARTITION BY "Has_Children" + ORDER BY "measure" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "Has_Children" + ) AS "cnt" + FROM "base" +), +"percentile_pos" AS ( + SELECT DISTINCT + "Has_Children", + "cnt", + (1.0 + ("cnt" - 1) * 0.95) AS "pos" + FROM "ordered" +), +"bounds" AS ( + SELECT + "Has_Children", + "cnt", + "pos", + CAST("pos" AS INTEGER) AS "lo_rn", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END AS "hi_rn" + FROM "percentile_pos" +) +SELECT + b."Has_Children", + CASE + WHEN b."lo_rn" = b."hi_rn" THEN MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + ELSE + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + + (b."pos" - b."lo_rn") * ( + MAX(CASE WHEN o."rn" = b."hi_rn" THEN o."measure" END) - + MAX(CASE WHEN o."rn" = b."lo_rn" THEN o."measure" END) + ) + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."Has_Children" = b."Has_Children" +GROUP BY + b."Has_Children", + b."cnt", + b."pos", + b."lo_rn", + b."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e774d1fbfa96cb3f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e774d1fbfa96cb3f.sql new file mode 100644 index 0000000000000000000000000000000000000000..58fbbaa30546a84e1c00b791f0ac8f1fdb07b721 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_e774d1fbfa96cb3f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_e774d1fbfa96cb3f +-- problem_id: v2p_m1_908006d22d7bef15 +-- realization_mode: agent +-- source_kind: agent +SELECT "Department", SUM(CAST("Task_Completion_Rate" AS REAL)) AS "total_measure" +FROM "m1" +GROUP BY "Department" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eaa2a0e330571993.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eaa2a0e330571993.sql new file mode 100644 index 0000000000000000000000000000000000000000..9d2f3fa1755dbe48358443fe187590851acf06d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eaa2a0e330571993.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_eaa2a0e330571993 +-- problem_id: v2p_m1_45928a85bd92e1ac +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", + AVG(CASE WHEN "Home_Office_Quality" = 'Average' THEN 1.0 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eab928ed73fc2917.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eab928ed73fc2917.sql new file mode 100644 index 0000000000000000000000000000000000000000..25da449510dcc25c93880f81dfc414f198193c68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eab928ed73fc2917.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m1_eab928ed73fc2917 +-- problem_id: v2p_m1_738e8c72fe109613 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("Task_Completion_Rate" AS REAL) AS "Task_Completion_Rate", + NTILE(10) OVER (ORDER BY CAST("Task_Completion_Rate" AS REAL) DESC) AS "tail_bucket" + FROM "m1" + WHERE "Task_Completion_Rate" IS NOT NULL +) +SELECT "Task_Completion_Rate" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "Task_Completion_Rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eb0b2e475105a31c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eb0b2e475105a31c.sql new file mode 100644 index 0000000000000000000000000000000000000000..85eed07cfcc1fdf8317c95dcdf6fb57ed918eb6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eb0b2e475105a31c.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_eb0b2e475105a31c +-- problem_id: v2p_m1_a04719b2c50e47e2 +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Work_Life_Balance" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eda05bbe275e9b00.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eda05bbe275e9b00.sql new file mode 100644 index 0000000000000000000000000000000000000000..87f9cb038cbd11d3c91332939728df1e1b9286f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_eda05bbe275e9b00.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m1_eda05bbe275e9b00 +-- problem_id: v2p_m1_cf9dbd9d16546574 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", + AVG(CASE WHEN "Location_Type" = 'Urban' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m1" +GROUP BY "Manager_Support_Level" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee752d22424b17ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee752d22424b17ce.sql new file mode 100644 index 0000000000000000000000000000000000000000..1ee86675e6a160e1c5c3dd3a012ac961c3d29563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee752d22424b17ce.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_ee752d22424b17ce +-- problem_id: v2p_m1_2170bc9a3b5a22f1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Gender", + strftime('%Y-%m', "Survey_Date") AS "Survey_Month", + SUM(CAST("Quality_Score" AS REAL)) AS "total_measure", + SUM(CAST("Quality_Score" AS REAL)) * 100.0 / SUM(SUM(CAST("Quality_Score" AS REAL))) OVER (PARTITION BY "Gender") AS "share_within_group" +FROM "m1" +GROUP BY + "Gender", + strftime('%Y-%m', "Survey_Date") +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee7e37d3f8e9fc22.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee7e37d3f8e9fc22.sql new file mode 100644 index 0000000000000000000000000000000000000000..daf5ebdc55083b693c6211457966119c23e705f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_ee7e37d3f8e9fc22.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_ee7e37d3f8e9fc22 +-- problem_id: v2p_m1_9f670a67346461d0 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Industry", + "Years_Experience", + SUM(CAST("Job_Satisfaction" AS REAL)) AS total_measure, + SUM(CAST("Job_Satisfaction" AS REAL)) * 100.0 / SUM(SUM(CAST("Job_Satisfaction" AS REAL))) OVER (PARTITION BY "Industry") AS share_within_group +FROM "m1" +GROUP BY "Industry", "Years_Experience" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f00e75c0ac1e792a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f00e75c0ac1e792a.sql new file mode 100644 index 0000000000000000000000000000000000000000..61dc8a871e137603352571c38a64b15e476ebc41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f00e75c0ac1e792a.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m1_f00e75c0ac1e792a +-- problem_id: v2p_m1_4b5de089e34e887b +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "Work_Life_Balance" AS value_label, COUNT(*) AS support + FROM "m1" + GROUP BY "Work_Life_Balance" +), 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_a/m1/sql/v2q_m1_f0531f50454c2cb0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f0531f50454c2cb0.sql new file mode 100644 index 0000000000000000000000000000000000000000..4335880663b1f12961c67904562bdb420a67835a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f0531f50454c2cb0.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_f0531f50454c2cb0 +-- problem_id: v2p_m1_741b9cd9327bae37 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "Department", + SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS "group_value" + FROM "m1" + GROUP BY "Department" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."Department", + 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_a/m1/sql/v2q_m1_f1db6b76347295cf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f1db6b76347295cf.sql new file mode 100644 index 0000000000000000000000000000000000000000..8479befcea583d2754ffc0a7a69117a1c8e93e66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f1db6b76347295cf.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m1_f1db6b76347295cf +-- problem_id: v2p_m1_e85ba2544c6e3bfb +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "Internet_Speed_Category", SUM(CAST("Efficiency_Rating" AS REAL)) AS group_value + FROM "m1" + GROUP BY "Internet_Speed_Category" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."Internet_Speed_Category", 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_a/m1/sql/v2q_m1_f683d596c73a902d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f683d596c73a902d.sql new file mode 100644 index 0000000000000000000000000000000000000000..97798d007cf3414db2f7b5b5e99cab2400a24179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f683d596c73a902d.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_f683d596c73a902d +-- problem_id: v2p_m1_2dfa0367f15c1f68 +-- realization_mode: agent +-- source_kind: agent +SELECT + "Work_Life_Balance", + "Efficiency_Rating", + SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS total_measure, + SUM(CAST("Work_Hours_Per_Week" AS REAL)) * 100.0 / SUM(SUM(CAST("Work_Hours_Per_Week" AS REAL))) OVER (PARTITION BY "Work_Life_Balance") AS share_within_group +FROM "m1" +GROUP BY "Work_Life_Balance", "Efficiency_Rating" +ORDER BY share_within_group DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f93a2277087a81a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f93a2277087a81a1.sql new file mode 100644 index 0000000000000000000000000000000000000000..9f97f3ebf32005ee2da82e0cfc536fba6ddb5643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_f93a2277087a81a1.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_f93a2277087a81a1 +-- problem_id: v2p_m1_17e8e9495dd13b61 +-- realization_mode: agent +-- source_kind: agent +SELECT "Manager_Support_Level", + AVG(CASE WHEN "Location_Type" = 'Suburban' THEN 1 ELSE 0 END) AS condition_rate +FROM "m1" +GROUP BY "Manager_Support_Level" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd050336ee4fb50c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd050336ee4fb50c.sql new file mode 100644 index 0000000000000000000000000000000000000000..217893df04690028f6daef80c54a486e43078f5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd050336ee4fb50c.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fd050336ee4fb50c +-- problem_id: v2p_m1_eb3bd65f7b5eb6e4 +-- realization_mode: agent +-- source_kind: agent +SELECT "Response_Quality", COUNT(*) AS "row_count" +FROM "m1" +GROUP BY "Response_Quality" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd1f06743bbbd42a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd1f06743bbbd42a.sql new file mode 100644 index 0000000000000000000000000000000000000000..654904e603631f5686261335a73a7c282db57340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd1f06743bbbd42a.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m1_fd1f06743bbbd42a +-- problem_id: v2p_m1_fc42453dcce0f1dd +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "Quality_Score", + COUNT(*) AS support, + AVG("Years_Experience") AS avg_response +FROM "m1" +GROUP BY "Quality_Score" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd5fd45ba8e018f9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd5fd45ba8e018f9.sql new file mode 100644 index 0000000000000000000000000000000000000000..9b55ce8ea4997df55d6851c403082ceecaac87f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fd5fd45ba8e018f9.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fd5fd45ba8e018f9 +-- problem_id: v2p_m1_53337448d0ed82dc +-- realization_mode: agent +-- source_kind: agent +SELECT "Home_Office_Quality", "Work_Hours_Per_Week", + SUM(CAST("Stress_Level" AS REAL)) AS "total_measure", + SUM(CAST("Stress_Level" AS REAL)) * 100.0 / SUM(SUM(CAST("Stress_Level" AS REAL))) OVER (PARTITION BY "Home_Office_Quality") AS "share_within_group" +FROM "m1" +GROUP BY "Home_Office_Quality", "Work_Hours_Per_Week" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fe534c3cbd7b9b91.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fe534c3cbd7b9b91.sql new file mode 100644 index 0000000000000000000000000000000000000000..2538842649d8d84bbf5ccbeeee36fe480385986d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_a/m1/sql/v2q_m1_fe534c3cbd7b9b91.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_a +-- sql_source_dataset_id: m1 +-- 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_m1_fe534c3cbd7b9b91 +-- problem_id: v2p_m1_44f9094cf313e992 +-- realization_mode: agent +-- source_kind: agent +SELECT "Work_Life_Balance", "Efficiency_Rating", + SUM(CAST("Work_Hours_Per_Week" AS REAL)) AS total_measure, + SUM(CAST("Work_Hours_Per_Week" AS REAL)) * 100.0 / SUM(SUM(CAST("Work_Hours_Per_Week" AS REAL))) OVER (PARTITION BY "Work_Life_Balance") AS share_within_group +FROM "m1" +GROUP BY "Work_Life_Balance", "Efficiency_Rating" +ORDER BY share_within_group DESC;