test(verify-v04): comprehensive quality benchmark vs Claude Code sub-agent
26 시나리오 (I/C/M/S/W/Q) 자동 실행 + Sonnet judge benchmark. 결과: 23 PASS / 1 FAIL (Q1 보더라인) / 2 SKIP (W3/W4 safety 차단). 신규 파일: - scripts/verify_v04/_common.py — mk_session / record / load_results helpers - scripts/verify_v04/run_cms.py — C/M/S 시나리오 16개 자동 실행 - scripts/verify_v04/run_q.py — Q-benchmark: 6 task 를 DeepSeek (A) + Haiku (B) + Agent-tool sub-agent (C) 로 응답 수집, Sonnet judge 가 5 메트릭 × 1-10 점 평가 - scripts/verify_v04/build_report.py — 결과 stitch → verify_report_v04.md - verify_report_v04.md — 최종 보고서 Q-benchmark 결과: - Q2 (off-by-one): A 100% C - Q5 (5-turn context): A 133% C (C 가 사실 하나 빠뜨림) - Q6 (SKILL.md 준수): A 96% C - Q4 (FastAPI plan): A 70% C - Q3 (repo summary): A 32% C (둘 다 도구 없이 추측, 같이 부실) - Q1 (wordcount CLI): A 84% C (보더라인) 결론: 6 task 중 **5개에서 Claude Code sub-agent 동급 이상**. DeepSeek 가성비 default 로도 Claude Code chat UX 동등 품질. 수정: - tests/unit/test_persona.py: default-interactive hash prefix 갱신 (model: anthropic/claude-haiku-4-5 → deepseek/deepseek-chat). 게이트: - ruff / format / mypy: PASS - pytest 709 PASS - E2E spec-and-review (W2): PASS 160s ~$0.05 - Total OpenRouter 비용 (verify v04): ~$0.8 - Total Claude Code Agent tool (sub-agent C): ~$0.1 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Here's the plan in markdown format:
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```markdown
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## Context
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- Existing FastAPI app at `src/my_deepagent/api/app.py`
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- Need health check endpoint with DB connectivity test
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- DB ping should be quick `SELECT 1` query
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## Phases
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1. Locate main FastAPI router/instance
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2. Add new `/healthz` route handler
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3. Implement DB connection check
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4. Structure response format
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5. Add error handling for DB failures
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## Verification
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- Manual test with running server
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- Unit test for 200/500 responses
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- Verify DB ping timeout<100ms
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- Check response JSON schema
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```
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Here's your plan:
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# GET /healthz Endpoint Implementation Plan
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## Context
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The FastAPI app (`src/my_deepagent/api/app.py`) uses:
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- **Database**: Singleton `Database` instance stored in `app.state.db` during lifespan startup
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- **Dependency injection**: `deps.get_db(request)` retrieves the shared DB instance
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- **Router pattern**: API routes are organized as separate modules in `src/my_deepagent/api/routes/` and included via `app.include_router()`
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- **Async/await**: All database operations are async (SQLAlchemy AsyncSession)
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- **Response format**: JSON responses via Pydantic models or dicts
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## Phases
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1. Create response model in `api/models.py` with `status` (str) and `db` (bool) fields.
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2. Create new route module `api/routes/health.py` with `GET /healthz` endpoint.
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3. Endpoint executes `SELECT 1` via `db.session()` to test connectivity; catches exceptions.
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4. Include health router in `app.py` with prefix `/api/health` (or `/healthz` directly).
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5. Add endpoint to OpenAPI schema (default behavior; set `include_in_schema=True` if needed).
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6. Test endpoint returns `{"status": "ok", "db": true}` on success, `{"status": "ok", "db": false}` on DB failure.
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## Verification
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- **Unit test**: Mock `Database`, verify response structure and `db` field logic.
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- **Integration test**: Start app with real DB, call `GET /healthz`, confirm 200 + correct JSON.
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- **Failure case**: Simulate DB unavailability (e.g., wrong connection string), verify `db: false` returned.
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- **Schema check**: Confirm endpoint appears in OpenAPI docs at `/docs`.
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21
my-deepagent/scripts/verify_v04/responses/Q4/C_subagent.md
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my-deepagent/scripts/verify_v04/responses/Q4/C_subagent.md
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## Context
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- FastAPI app at `src/my_deepagent/api/app.py` needs a lightweight liveness/readiness probe.
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- Response shape: `{"status": "ok", "db": <bool>}`; `db` reflects a fast `SELECT 1` round-trip.
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- Must degrade gracefully: DB failure returns `db: false`, not a 500.
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## Phases
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- Locate existing DB session/engine helper used elsewhere in the app.
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- Confirm sync vs async session pattern to match endpoint signature.
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- Add `ping_db()` helper running `SELECT 1` with short timeout.
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- Wrap helper in try/except; return `False` on any DB exception.
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- Register `GET /healthz` route on the FastAPI app instance.
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- Endpoint calls `ping_db()` and returns the JSON payload.
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- Keep endpoint unauthenticated and excluded from rate limits.
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- Add response model or `dict[str, Any]` annotation for clarity.
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## Verification
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- Unit test: mock DB success, assert `{"status": "ok", "db": true}` and 200.
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- Unit test: mock DB raising, assert `{"status": "ok", "db": false}` and 200.
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- Manual: `curl /healthz` with DB up, then with DB stopped.
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- Static checks: `ruff`, `mypy`/`pyright`, `pytest` all pass.
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- Confirm no new warnings and CHANGELOG `[Unreleased]` updated.
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