Photo Analyzer

Integrated, restart-safe photo analysis, duplicate review, metadata, upload, and archive workflow. Planning lives in INTEGRATED_PIPELINE_CONCEPT.md and delivery_backlog/.

Application (photo_pipeline)

The target application lives in photo_pipeline/ (FastAPI + SQLAlchemy + Alembic). Run it with:

python -m photo_pipeline migrate   # apply database migrations
python -m photo_pipeline serve     # start the API + static review UI (127.0.0.1:8000)

Configuration comes from PHOTO_PIPELINE_* environment variables (see photo_pipeline/config.py); secrets are referenced, never logged.

Testing

One offline command runs the whole suite (unit, integration, and browser end-to-end); it needs no network and uses only deterministic synthetic fixtures:

work_item/scripts/python -m pytest tests -q

Browser end-to-end tests require a one-time Playwright browser install:

python -m playwright install chromium

Phase A acceptance gate

Phase A (Epic E01: shared identity, inventory, duplicates, thumbnails, review UI) is gated by a reproducible end-to-end suite:

work_item/scripts/python -m pytest tests/e2e tests/integration -q

• tests/e2e/test_phase_a_pipeline.py launches the real API process against a fresh database and a deterministic fixture library, then drives scan, _IGNORE/ exclusion, move reconciliation, exact/fuzzy duplicate review, thumbnail orientation, canonical selection, browser reload, and a full process restart — asserting durable API and database state after the restart.
• tests/story_traceability.json maps every delivered story to its tests; tests/e2e/test_traceability.py fails if a Phase A story loses coverage or a test file is left unexercised.