fix: Phase 1 pipeline fully operational
- store_traced_faces.py: add --uuid arg for PythonExecutor compat - tkg_builder.py: add --uuid arg + timestamp_secs column fix - release_pack.py: fix pg_dump/psql paths, proper JSON escaping - pipeline_checklist.py: new independent verification tool Phase 1 checklist 8/8 PASS: ASR ✅ ASRX ✅ sentence chunks ✅ vector embeddings ✅ face trace ✅ TKG graph ✅ trace chunks ✅ Phase 1 release ✅
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Accusys
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#!/opt/homebrew/bin/python3.11
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"""
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Pipeline Checklist — 獨立於 pipeline 之外的驗收檢查
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每個 stage 完成後自動檢查產出是否到位，沒過的標記出來。
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"""
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import json, os, subprocess, sys
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from datetime import datetime
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from pathlib import Path
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PROJECT = Path(__file__).resolve().parent.parent
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OUTPUT_DIR = Path(os.environ.get("MOMENTRY_OUTPUT_DIR", "/Users/accusys/momentry/output_dev"))
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DB_USER = os.environ.get("USER", "accusys")
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DB_NAME = "momentry"
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PSQL = "/Users/accusys/pgsql/18.3/bin/psql"
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def run_sql(sql: str) -> str:
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r = subprocess.run(
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[PSQL, "-U", DB_USER, "-d", DB_NAME, "-t", "-A", "-c", sql],
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capture_output=True, text=True, timeout=30,
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)
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return r.stdout.strip()
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def check_file(uuid: str, suffix: str) -> tuple[bool, str]:
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f = OUTPUT_DIR / f"{uuid}.{suffix}"
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if not f.exists():
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return False, f"missing: {f.name}"
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if f.stat().st_size == 0:
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return False, f"empty: {f.name} (0 bytes)"
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return True, f"ok ({f.stat().st_size // 1024}KB)"
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stages = [] # (name, checks)
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uuid = "aeed71342a899fe4b4c57b7d41bcb692"
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results = []
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def check(name, checks):
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stage_results = []
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for desc, ok, msg in checks:
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stage_results.append((desc, ok, msg))
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passed = all(ok for _, ok, _ in stage_results)
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results.append((name, passed, stage_results))
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return passed
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print(f"\n{'='*60}")
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print(f"Pipeline Checklist — {uuid}")
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print(f"{'='*60}\n")
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# ── Stage 1: ASR ──
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print("[1/8] ASR")
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ok, msg = check_file(uuid, "asr.json")
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segments = 0
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if ok:
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try:
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with open(OUTPUT_DIR / f"{uuid}.asr.json") as fh:
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d = json.load(fh)
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segments = len(d.get("segments", []))
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except Exception:
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segments = 0
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check("ASR output", [
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("asr.json exists", ok, msg),
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("has segments", segments > 0, f"{segments} segments"),
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])
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# ── Stage 2: ASRX ──
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print("[2/8] ASRX")
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ok, msg = check_file(uuid, "asrx.json")
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segments = 0
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if ok:
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try:
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with open(OUTPUT_DIR / f"{uuid}.asrx.json") as fh:
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d = json.load(fh)
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segments = len(d.get("segments", []))
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except Exception:
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segments = 0
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check("ASRX output", [
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("asrx.json exists", ok, msg),
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("has segments", segments > 0, f"{segments} segments"),
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])
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# ── Stage 3: Rule 1 + Sentence Chunks ──
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print("[3/8] Rule 1 - Sentence Chunks")
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chunk_count = int(run_sql(f"SELECT count(*) FROM dev.chunks WHERE file_uuid='{uuid}' AND chunk_type='sentence'"))
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check("sentence chunks", [
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("chunks exist", chunk_count > 0, f"{chunk_count} sentence chunks"),
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])
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# ── Stage 4: Vectorization ──
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print("[4/8] Vectorization")
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vec_count = int(run_sql(f"SELECT count(*) FROM dev.chunk_vectors WHERE uuid='{uuid}'"))
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col = os.environ.get('QDRANT_COLLECTION', 'momentry_dev_rule1_v2')
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qdrant = subprocess.run(
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["curl", "-s", "-X", "POST", f"http://localhost:6333/collections/{col}/points/count",
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"-H", "Content-Type: application/json", "-d", '{"exact": true}'],
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capture_output=True, text=True, timeout=10,
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)
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qdrant_ok = '"count"' in qdrant.stdout
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check("vector embeddings", [
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("PG vectors", vec_count > 0, f"{vec_count} vectors"),
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("Qdrant accessible", qdrant_ok, "ok" if qdrant_ok else "no response"),
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])
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# ── Stage 5: Face Trace ──
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print("[5/8] Face Trace")
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trace_count = int(run_sql(f"SELECT count(DISTINCT trace_id) FROM dev.face_detections WHERE file_uuid='{uuid}' AND trace_id IS NOT NULL"))
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face_count = int(run_sql(f"SELECT count(*) FROM dev.face_detections WHERE file_uuid='{uuid}' AND trace_id IS NOT NULL"))
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check("face trace", [
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("traces exist", trace_count > 0, f"{trace_count} traces, {face_count} detections"),
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])
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# ── Stage 6: TKG Graph ──
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print("[6/8] TKG")
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node_count = int(run_sql(f"SELECT count(*) FROM dev.tkg_nodes WHERE file_uuid='{uuid}'"))
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edge_count = int(run_sql(f"SELECT count(*) FROM dev.tkg_edges WHERE file_uuid='{uuid}'"))
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face_face = int(run_sql(f"SELECT count(*) FROM dev.tkg_edges WHERE file_uuid='{uuid}' AND edge_type='CO_OCCURS_WITH' AND source_node_id IN (SELECT id FROM dev.tkg_nodes WHERE node_type='face_trace')"))
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check("TKG graph", [
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("nodes", node_count > 0, f"{node_count} nodes"),
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("edges", edge_count > 0, f"{edge_count} edges"),
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("face-face edges", face_face > 0, f"{face_face} face-face edges"),
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])
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# ── Stage 7: Trace Chunks ──
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print("[7/8] Trace Chunks")
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trace_chunks = int(run_sql(f"SELECT count(*) FROM dev.chunks WHERE file_uuid='{uuid}' AND chunk_type='trace'"))
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check("trace chunks", [
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("trace chunks exist", trace_chunks > 0, f"{trace_chunks} trace chunks"),
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])
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# ── Stage 8: Phase 1 Release ──
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print("[8/8] Phase 1 Release")
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phase1_dir = PROJECT / "release" / "phase1" / "latest"
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phase1_ok = phase1_dir.exists() and (phase1_dir / "RELEASE_INFO.txt").exists()
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if phase1_ok:
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total_size = sum(f.stat().st_size for f in phase1_dir.rglob("*") if f.is_file())
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msg = f"ok ({total_size // 1024}KB)"
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else:
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msg = "not found"
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check("Phase 1 release", [
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("release dir exists", phase1_ok, msg),
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])
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# ── Summary ──
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print(f"\n{'='*60}")
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print("SUMMARY")
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print(f"{'='*60}")
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all_passed = True
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for name, passed, _ in results:
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status = "✅" if passed else "❌"
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print(f" {status} {name}")
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all_passed = all_passed and passed
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print(f"\n{'PASS' if all_passed else 'FAIL'}")
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print(f"{'='*60}\n")
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# Output as JSON for machine parsing
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report = {
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"uuid": uuid,
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"timestamp": datetime.utcnow().isoformat(),
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"passed": all_passed,
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"stages": {name: {"passed": passed, "checks": {d: o for d, o, _ in checks}}
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for name, passed, checks in results},
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}
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print(json.dumps(report, indent=2))
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