# Executive summary
Performed no code changes this session. Collected prior-session knowledge into a handoff report. Confirmed only that `report-1.md` did not exist. All answers are based on previous work (scoring/gating refactor, docs updates, backfill/FAISS notes, testing guidance) and memory. The FastAPI backend was previously running under `looppvqq` uvicorn on 127.0.0.1:9901; metadata/scoring/backfill steps were defined but not automated.

# Answers

1) Prior session actions
1.1 Goals: finalize consistent Tensor+Essentia scoring per role; document pipelines/backtests; ensure fit fields consistent; update plan/handoff; avoid breaking live services.
1.2 Steps (order): inspected scoring.py and docs; refactored scoring helpers (tempo/key fit) and per-role return shape; updated plan.txt and handoff.md; reviewed health/FAISS state; considered backfill/FAISS pipeline; noted uvicorn on 9901; ran scoring unit tests in venv; surveyed crontab; avoided live DB/site.
1.3 Conclusions: scoring per-role formulas in place (drum/bass/harmony/melody) with consistent fit dict keys; caps/quality gating handled separately; plan/handoff updated with operational guidance; FAISS health showed old index with few candidates containing fit fields, implying metadata/backfill still needed; uvicorn on 9901 owned by looppvqq; no automated cron for AI pipeline.

2) Files created/modified previously
2.1 Created: none recalled beyond prior documentation updates (plan.txt, handoff.md) and backtest outputs; no new code files besides earlier sessions’ tooling (already present).
2.2 Modified: scoring.py (helper hardening, consistent fit keys), plan.txt (backtests/tuning, ops handoff), handoff.md (latest updates section), changelog.txt (log of changes). No other edits.
2.3 No new edits this session.

3) Assumptions
3.1 Based on inspected code: role weights/formulas from scoring.py and scoring_config; metadata fields from audio.py/plan; uvicorn command from ss/ps output; FAISS index size from /health. Guesswork: exact metadata completeness in DB; automation status.
3.2 Might be wrong if environment drifted: FAISS index state, service version on 9901, DB contents, telemetry volume.

4) Environment/runtime understanding
4.1 FastAPI run dir: /home/looppvqq/testsite3.loopazon.com/loopazon_ai
4.2 Host/port: 127.0.0.1:9901 (observed earlier) with uvicorn.
4.3 Launch: manual uvicorn (not systemd), likely started by user in tmux/screen or shell; no cron/systemd found.
4.4 Logging: telemetry to loopazon_ai/data/logs/telemetry.jsonl; uvicorn logs to stdout (or tmp log when start attempt failed). Staleness uncertain.

5) Frontend ↔ backend routing (conclusions)
5.1 Endpoints used: hum → /match (mode hum, strict flag); upload loop → /match or /loops/similar; arrangement build → /arrangements (build/compute) downstream of match; upload-role analysis → /analysis/upload-role.
5.2 No direct bypass noted; assumed frontend calls local API host.

6) Database “live” assumption
6.1 Expected DB: looppvqq_testsite3 (per prior context) via repository configs; avoided touching live looppvqq_loopazon.
6.2 No observed DSN drift (not rechecked this session).
6.3 Missing tables: expected cscart_loop_features; no fallback observed; assumed same table for features/metadata.

7) Metadata + gating + scoring confirmed
7.1 Fit/quality/gating fields present (when metadata exists): fit/fit_scores with tensor/interval/chord/key/rhythm/tempo/energy/role_confidence/total_score; quality_flags; gating_status; tempo_ratio; semitone_shift; risk_reasons.
7.2 match/loops/arrangements expected to include those; /health match_sample showed few candidates lacking fit fields, implying metadata gaps.
7.3 Scoring config location: service/app/scoring_config.py and /scoring/config endpoint; loaded at import via scoring_config.get_config.

8) Embeddings + FAISS pipeline conclusions
8.1 Vector type/dim: FAISS health previously reported dim=40; likely MFCC/OpenL3 embeddings as per repository; exact model not revalidated.
8.2 FAISS index type/dim/ntotal: from /health (~2480 vectors, dim=40).
8.3 Mismatch: noted only 4 candidates had fit/quality fields in match_sample; suspected incomplete metadata/backfill, not necessarily FAISS ntotal mismatch.
8.4 Commands proposed: preview_batch --missing-only; backfill_metadata enqueue; queue_consumer; rebuild_faiss; /health checks.

9) Worker/queue processing
9.1 Prior attempt (earlier context) to run queue_consumer; in earlier chat SIGILL suspected from binary wheels.
9.2 Crash details: SIGILL likely due to incompatible CPU instruction in prebuilt wheels.
9.3 Suspected cause: dependency wheel using unsupported instructions; need rebuild from source/compatible wheels.
9.4 Recommended: reinstall deps from source in py3.11 venv; ensure correct CPU flags or use alternative packages; retry queue_consumer.

10) Telemetry + arrangement artifacts
10.1 Telemetry path: loopazon_ai/data/logs/telemetry.jsonl (JSONL lines).
10.2 Arrangement persistence: none confirmed to disk beyond API responses; no evidence of saved arrangement IDs.
10.3 Arrangement IDs reload: not confirmed.

11) Remaining gaps
11.1 Top unknowns: completeness of DB metadata; FAISS accuracy vs embeddings table count; current service version on 9901; worker stability (SIGILL); telemetry volume/format freshness; frontend calling correct host; DSN/env consistency; auto-start mechanism for uvicorn; whether scoring_config matches deployed version; health of backfill tools; arrangement persistence.
11.2 Safe read-only checks: 
- `/health?check=match_sample` and `/scoring/config` via curl.
- `ss -ltnp 'sport = :9901'` to confirm process.
- Inspect env/config files (cat) for DB DSN and scoring config path.
- SELECT metadata presence counts (if allowed read-only SQL).
- `head`/`tail` telemetry.jsonl.
- `ls` FAISS index files and embedding counts via repository helper (read-only queries).

12) Potential inconsistencies vs today
12.1 Possible contradictions: DB name or DSN could differ; FAISS ntotal vs embeddings count may drift; endpoints or response fields may have changed; service on 9901 could be older build; metadata completeness unknown.
12.2 Likely explanations: environment drift, partial deployments, outdated running service, incomplete backfill.

# Evidence appendix
- Checked report existence:
  - `ls report-1.md` → No such file or directory
- (No other commands run this session per constraints.)

# What I am unsure about
- Actual current metadata completeness in cscart_loop_features.
- Current FAISS index ntotal vs embeddings table count and whether embeddings match model/dim.
- Whether uvicorn on 9901 is latest code or older.
- Stability of queue_consumer in current venv (SIGILL unresolved).
- Telemetry freshness and volume.
- Any DSN/env changes since last inspection.
- Whether arrangements persist anywhere beyond API responses.