generated from john/python-template
ver1 - Step6 Implementation Plan
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@@ -6,7 +6,7 @@ This project is a production application for transcribing and preserving histori
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Read [architecture.md](architecture.md) first.
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Then review [ver1/ver1.md](ver1/ver1.md) for completion scope and [ver1/ver1-step1-results.md](ver1/ver1-step1-results.md) for current architecture-consolidation status.
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Then review [ver1/ver1.md](ver1/ver1.md) for completion scope.
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The architecture page is the primary technical reference and defines:
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## Documentation Map
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- Architecture and technical design: [architecture.md](architecture.md)
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- Version 1 implementation plan: [ver1/ver1.md](ver1/ver1.md)
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- Version 1 Step 1 plan: [ver1/ver1-step1.md](ver1/ver1-step1.md)
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- Version 1 Step 1 results: [ver1/ver1-step1-results.md](ver1/ver1-step1-results.md)
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- Architecture and technical design: [architecture.md](architecture.md)
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- Architecture decision records (ADR index): [adr/README.md](adr/README.md)
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- Runtime and deployment requirements: [requirements.md](requirements.md)
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- Error handling policy and operational guidance: [error_handling.md](error_handling.md)
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## Step 6 Goal (from `docs/ver1/ver1.md`)
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Implement **minimal observability & operability** so a single operator can quickly diagnose and recover from common failures.
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---
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## 1) Current-State Assessment (what already exists)
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### Already in place
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- Central startup logging initialization via `setup_logging()` and `dictConfig` (`src/transcription/config.py`, `src/transcription/app.py`).
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- Error taxonomy and `error_id` envelope contract (`src/transcription/errors.py`) aligned with `docs/error_handling.md`.
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- Error handling for API and worker includes category + error IDs in some paths (`src/transcription/api/errors.py`, `src/transcription/worker.py`).
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- Basic health endpoint `/healthz` (`src/transcription/api/health.py`).
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- UI error display already shows actionable message + error reference (`src/transcription/ui/error_presenter.py`).
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### Gaps to close for Step 6
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1. **Structured logging is inconsistent** (many logs are free-form text with embedded key/value; no enforced schema).
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2. **Boundary coverage is incomplete** (UI/service/API/worker don’t all emit consistent operation logs).
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3. `/healthz` is very basic; no lightweight readiness/startup diagnostics endpoint/reporting.
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4. No concise **operator runbook** yet (start/stop, log interpretation, recovery playbooks).
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5. Minimal counters/timings are not yet standardized.
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---
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## 2) MCP Guidance Incorporated (relevant items)
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From `john-stream-mcp`, these are directly applied:
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- **`python-logging-dictconfig`**: keep one centralized `dictConfig`, configure once at startup, named loggers in modules.
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- **`fastapi-async-sqlalchemy-modernization`**: include observability + health/readiness checks; explicit lifecycle and deterministic startup/shutdown checks.
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- **`fastapi-uv-docker`**: keep `/healthz`; add practical readiness/ops checks for deployment clarity.
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- **`pytesting`**: deterministic tests, concise structure, validation lanes (`collect-only`, `unit`, `not external`, full).
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- **`pydantic-settings`**: keep typed settings as single source for logging/health behavior flags.
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- **`nicegui` + `nicegui-ui-customization`**: preserve clear, actionable user-facing error feedback and non-blocking UI flows.
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- **`zensical-docs`**: produce focused, navigable operator docs.
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(Other MCP resources were reviewed but are not core to Step 6 implementation scope.)
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---
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## 3) Detailed Implementation Plan for Step 6
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## Workstream A — Structured Logging Contract
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### A1. Define a canonical log event schema
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Create a project log schema (doc + code-level constants) with required keys:
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- `timestamp` (UTC)
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- `level`
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- `logger`
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- `operation`
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- `event`
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- `error_id` (when error)
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- `category` (when error)
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- `exception_type` (when error)
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- `job_id`, `document_id` (when relevant)
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- optional: `duration_ms`, `retry_count`, `status`
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### A2. Standardize log emission helpers
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Add small logging helpers (or adapter utilities) to reduce drift:
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- `log_operation_start(...)`
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- `log_operation_success(...)`
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- `log_operation_error(...)`
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Keep this minimal and avoid heavy observability frameworks.
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### A3. Update formatter to structured output
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Use `dictConfig` to emit either:
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- JSON lines (preferred for structure), or
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- strict key-value line format with fixed fields.
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**Recommendation:** JSON lines to satisfy “structured logging” unambiguously while still simple.
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---
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## Workstream B — Boundary-by-Boundary Instrumentation
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### B1. API boundary (`src/transcription/api/*`)
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- Add request-level operation logs for key routes (`upload.submit`, `jobs.list`, `jobs.get`, etc.).
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- Ensure API exception handler logs always include `error_id`, `category`, `operation`, `exception_type`.
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### B2. Service boundary (`src/transcription/services/*`)
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- Add operation logs around:
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- upload validation/persist,
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- transcription orchestration,
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- revision add/accept,
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- search/export.
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- Add timing (`duration_ms`) for high-value operations only.
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### B3. Worker boundary (`src/transcription/worker.py`)
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- Standardize all worker log events to schema.
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- Ensure retry logs include: `retriable`, `retry_count`, `max_retries`, `backoff_seconds`.
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- Ensure terminal failure logs include error contract fields.
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### B4. UI boundary (`src/transcription/ui/*`)
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- Keep user-safe UI messages as-is.
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- Add backend/UI logger events for user-triggered failures (operation + error_id + category) so UI-visible errors correlate to server logs.
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---
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## Workstream C — Health, Readiness, Startup Operability
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### C1. Keep `/healthz` lightweight
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- Return “process is running” status quickly.
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### C2. Add lightweight `/readyz`
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Include small checks:
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- DB connectivity ping.
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- Worker thread alive check.
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- Optional prompt directory existence check.
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Return structured status payload with per-check pass/fail.
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### C3. Startup self-check summary log
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At startup, emit one concise ops summary event:
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- environment
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- schema validation result
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- worker started
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- directories checked
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- bootstrap/migration mode flags
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---
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## Workstream D — Minimal Counters & Timings
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Add only high-value diagnostics:
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1. `worker_jobs_processed_total`
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2. `worker_jobs_failed_total`
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3. `worker_retries_total`
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4. `transcription_duration_ms` (per job)
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5. `upload_persist_duration_ms` (per upload path)
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Implementation can be log-derived counters (no external metrics backend required).
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---
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## Workstream E — Operator Runbook
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Create concise runbook doc (recommended: `docs/ver1/ver1-step6-operator-runbook.md`) with:
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1. **Start/Stop**
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- local `uv` run mode
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- docker compose mode (if applicable)
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2. **Where logs are**
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- stdout, docker logs commands, filtering by `error_id` / `operation`.
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3. **Common failure patterns → recovery**
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- provider timeout
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- auth denied
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- missing prompt dir
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- DB unavailable
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- job stuck/failed with retry exhausted
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4. **Recovery procedures**
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- restart sequence
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- verify health/readiness
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- when to requeue/re-upload
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5. **Escalation artifacts**
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- capture timestamp + error_id + operation + job_id/document_id
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Also update `README.md` with short links to the runbook.
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---
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## Workstream F — Verification & Quality Gates
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### Tests to add/update
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- `tests/api/test_health.py`
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- `/healthz` baseline
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- `/readyz` pass/fail behavior
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- `tests/api/test_error_responses.py` / `tests/api/test_routes.py`
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- logs include `error_id/category/operation` on failures
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- `tests/services/test_worker.py`
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- retry/failure log fields + timing presence
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- `tests/ui/*`
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- ensure UI error correlation path includes operation/ref id behavior
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### Validation commands (per MCP pytest guidance)
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- `uv run pytest --collect-only -q`
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- `uv run pytest -m unit -q`
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- `uv run pytest -m "not external" -q`
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- `uv run pytest -q`
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---
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## 4) Traceability to Governing Docs
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- **`docs/ver1/ver1.md` Step 6:** all 5 implementation bullets covered.
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- **`docs/error_handling.md`:** logging contract fields and error taxonomy continuity enforced.
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- **`docs/architecture.md`:** respects modular boundaries, in-process worker model, low-complexity ops.
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- **`docs/requirements.md`:**
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- REQ-8 (startup logging/config centralization) strengthened,
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- REQ-5 (status visibility) improved operationally,
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- REQ-7 lifecycle ownership observability improved.
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- **`docs/intent.md`:** keeps operation simple for personal-scale archival workflow.
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---
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## 5) Suggested Execution Order (low risk)
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1. Logging schema + formatter + helpers
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2. Worker/API instrumentation (highest value)
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3. Service/UI instrumentation
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4. `/readyz` + startup summary check
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5. Runbook + README links
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6. Tests + Step 6 results artifact (`docs/ver1/ver1-step6-results.md`)
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