Close the planner validation loop across all four live entrypoints

Constraint: Partial execution proof for planner validation commands still left room for manual reconstruction risk, so the remaining entrypoints had to be exercised too.
Rejected: Stop after two executed planner commands | It would leave the negative matrix and asset-upsert entrypoints unproven.
Confidence: high
Scope-risk: narrow
Directive: Treat phase1_validation_commands_execution_report.json as the authoritative proof that the planner artifact is executable end-to-end.
Tested: git diff --check; /usr/local/miniconda3/bin/python - <<'PY' ... execute validation_commands.semantic_vector_negative_matrix and validation_commands.asset_level_upsert_validation from data/pgvector_eval/music20/phase1_extraction_plan_report.json ... PY
Not-tested: Individual extraction jobs still remain environment-blocked; this commit proves validation entrypoints, not successful feature extraction.

@@ -12,5 +12,28 @@
     "stdout_tail": "{\n  \"schema\": \"acr_test\",\n  \"dsn_redacted\": \"postgres://d2:***@127.0.0.1:5432/d2\",\n  \"exact_lane\": {\n    \"job_id\": 1,\n    \"returncode\": 0,\n    \"job_status\": \"failed\",\n    \"failure_reason\": \"unreadable_audio_assets\",\n    \"missing_asset_count\": 20,\n    \"artifact\": \"data/pgvector_eval/music20/phase1_worker_contract_smoke_exact.json\"\n  },\n  \"semantic_lane\": {\n    \"returncode\": 0,\n    \"semantic_job_count\": 4,\n    \"failed_jobs\": 4,\n    \"unique_blockers\": [\n      \"model_runtime_unavailable\",\n      \"unreadable_audio_assets\"\n    ],\n    \"artifact\": \"data/pgvector_eval/music20/phase1_worker_contract_smoke_semantic_matrix.json\"\n  },\n  \"summary\": {\n    \"exact_status\": \"failed\",\n    \"semantic_failed_jobs\": 4,\n    \"shared_environment_blockers\": [\n      \"missing /workspace/downloads mount\",\n      \"missing semantic model runtime dependencies\"\n    ]\n  }\n}\n",
     "stderr_tail": "",
     "passed": true
+  },
+  "semantic_vector_negative_matrix": {
+    "command": "cd /workspace/acr-engine && PG_DSN=\"${PG_DSN:?set PG_DSN}\" /usr/local/miniconda3/bin/python scripts/run_embedding_vector_table_negative_matrix_live.py --dsn \"$PG_DSN\" --output data/pgvector_eval/music20/embedding_vector_table_negative_matrix_report.json",
+    "returncode": 0,
+    "stdout_tail": "dding_vector_table_not_allowlisted_attempt.json\"\n    },\n    {\n      \"case\": \"vector_table_missing_in_schema\",\n      \"schema\": \"acr_vector_table_missing_test\",\n      \"vector_table\": \"audio_embedding_vector_768\",\n      \"job_status\": \"failed\",\n      \"failure_reason\": \"preflight_failed\",\n      \"preflight_blockers\": [\n        \"unreadable_audio_assets\",\n        \"vector_table_missing_in_schema\",\n        \"model_runtime_unavailable\"\n      ],\n      \"vector_table_report\": {\n        \"reason\": \"vector_table_missing_in_schema\",\n        \"resolved\": false,\n        \"expected_dim\": 768,\n        \"table_exists\": false,\n        \"allowed_vector_tables\": [\n          \"audio_embedding_vector_192\",\n          \"audio_embedding_vector_768\"\n        ],\n        \"requested_vector_table\": \"audio_embedding_vector_768\"\n      },\n      \"artifact\": \"data/pgvector_eval/music20/embedding_vector_table_missing_in_schema_attempt.json\"\n    }\n  ],\n  \"summary\": {\n    \"expected_reasons\": {\n      \"vector_table_dim_mismatch\": \"vector_table_dim_mismatch\",\n      \"vector_table_not_allowlisted\": \"vector_table_not_allowlisted\",\n      \"vector_table_missing_in_schema\": \"vector_table_missing_in_schema\"\n    },\n    \"all_failed\": true\n  }\n}\n",
+    "stderr_tail": "",
+    "passed": true
+  },
+  "asset_level_upsert_validation": {
+    "command": "cd /workspace/acr-engine && PG_DSN=\"${PG_DSN:?set PG_DSN}\" /usr/local/miniconda3/bin/python scripts/validate_audio_embedding_asset_upsert_live.py --dsn \"$PG_DSN\" --schema acr_asset_upsert_test --output data/pgvector_eval/music20/audio_embedding_asset_upsert_live_report.json",
+    "returncode": 0,
+    "stdout_tail": "\n  \"upsert_embedding_id\": 1,\n  \"same_embedding_id_reused\": true,\n  \"counts\": {\n    \"audio_embedding\": 1,\n    \"audio_embedding_vector_192\": 1\n  },\n  \"final_state\": {\n    \"embedding_id\": 1,\n    \"asset_id\": 1,\n    \"window_id\": null,\n    \"checksum\": \"checksum-v2\",\n    \"embedding_uri\": \"inline://asset-probe-upsert\",\n    \"metadata_json\": {\n      \"probe\": \"asset_level_upsert_v2\"\n    },\n    \"vector_literal\": \"[0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2]\"\n  },\n  \"passed\": true\n}\n",
+    "stderr_tail": "",
+    "passed": true
+  },
+  "summary": {
+    "executed_commands": [
+      "asset_level_upsert_validation",
+      "prereq_audit",
+      "semantic_vector_negative_matrix",
+      "worker_contract_smoke"
+    ],
+    "all_passed": true
   }
 }
\ No newline at end of file

 ## 2026-06-04
 
+- 更新 `phase1_validation_commands_execution_report.json`，补齐 planner 中剩余两条 validation commands 的直接执行证据：`semantic_vector_negative_matrix` 与 `asset_level_upsert_validation` 也已 `returncode=0`，当前 4 条 validation entrypoints 已全部验证可被脚本直接消费。
 - 新增 `phase1_validation_commands_execution_report.json`，直接从 `phase1_extraction_plan_report.json` 读取并执行 `validation_commands.prereq_audit` 与 `validation_commands.worker_contract_smoke`，两条命令均返回 `0`，证明 planner 产物可被脚本化直接消费。
 - 更新 `scripts/plan_phase1_extraction_jobs_live.py` 与 `phase1_extraction_plan_report.json`，除了 per-job `command_suggestions` 之外，又补充了 `validation_commands`：`prereq_audit`、`worker_contract_smoke`、`semantic_vector_negative_matrix`、`asset_level_upsert_validation`，使 planner 本身也成为下次 session 的执行入口。
 - 新增 `scripts/run_phase1_prereq_audit_live.py` 与 `phase1_prereq_audit_report.json`，把 `/workspace/downloads` 挂载状态、`torch/torchaudio/transformers/speechbrain` 依赖状态与 5 条 Phase-1 jobs 的 readiness 汇总到一份 live 审计报告；当前结果为 `ready_jobs=0`、`blocked_jobs=5`。

@@ -482,5 +482,12 @@ cd /workspace/acr-engine && PG_DSN="${PG_DSN:?set PG_DSN}" EXTRACTION_JOB_ID=2 F
 
 - `validation_commands.prereq_audit` -> `returncode = 0`
 - `validation_commands.worker_contract_smoke` -> `returncode = 0`
+- `validation_commands.semantic_vector_negative_matrix` -> `returncode = 0`
+- `validation_commands.asset_level_upsert_validation` -> `returncode = 0`
+
+当前 `phase1_validation_commands_execution_report.json` 已经达到：
+
+- `executed_commands = 4`
+- `all_passed = true`
 
 这说明 planner 报告现在不仅能“展示命令”，还可以被脚本化消费为真正的执行入口。

@@ -197,7 +197,7 @@ sed -n '1,320p' acr-engine/sql/acr_pg_schema_v2.sql
 - `scripts/run_embedding_vector_table_negative_matrix_live.py` 已在 live PostgreSQL 上补齐 semantic vector-table 负例矩阵：`vector_table_dim_mismatch`、`vector_table_not_allowlisted`、`vector_table_missing_in_schema` 三类错误都能被稳定写入 `vector_table_report.reason`
 - `scripts/run_phase1_prereq_audit_live.py` 已给出当前 host 的先决条件审计：`downloads_root_exists=false`、`ready_jobs=0/5`，并把 `torch/torchaudio/transformers/speechbrain` 的缺失状态按 job 落成 JSON 报告
 - `phase1_extraction_plan_report.json` 现已附带 `validation_commands`，下次 session 可以直接从 planner 复制 `prereq_audit / worker_contract_smoke / semantic_vector_negative_matrix / asset_level_upsert_validation` 四类命令
-- `phase1_validation_commands_execution_report.json` 已证明 planner 里的 `prereq_audit` 与 `worker_contract_smoke` 两条 validation commands 可以被直接脚本消费且 `returncode=0`
+- `phase1_validation_commands_execution_report.json` 已证明 planner 里的 4 条 validation commands 都可以被直接脚本消费且 `returncode=0`：`prereq_audit`、`worker_contract_smoke`、`semantic_vector_negative_matrix`、`asset_level_upsert_validation`
 - `phase1_hot_reference_v1` 在 `acr_test` 里已经真实补齐 `20` 个 reference members，因此 worker dry-run 当前看到的 scope 已是 `20 recordings / 20 assets / 20 windows`
 - worker contract 现在已有基础前置状态保护；重复执行同一 chromaprint dry-run job 会被 `expected_status=pending` 明确拒绝，证据见 `phase1_worker_double_claim_guard_report.json`
 - exact lane 的 `run_chromaprint_job.py` 已具备非 dry-run 写入路径；当前在 `acr_test` 的 live 结果是因为 `/workspace/downloads/...` 缺失而明确 `failed`，不是继续假装 `completed`