julian
b485e9870b
The far end of the Car Wash review outbox (wiki/concepts/vision-review-outbox.md): a small Fastify + SQLite service in the monorepo (shares the payload contract and the class vocabulary via @parking/shared), delivered to art-docker-station by its own stack so nothing booth-side lands there and nothing of it on a booth. - POST /ingest: bearer token per booth (constant-time), X-Booth-Id must match, multipart meta + JPEG (magic checked, 2 MB cap), meta validated against the contract, idempotent on the item id; crop stored at crops/<booth>/<item>.jpg on the volume + one items row. - /review + /api/*: the reviewer's screen served by the process (Basic auth, one login): one pending crop at a time, operator's pick and camera's pick beside it, one button/key per vocabulary class + unusable + skip; stats per booth and per hashed operator (agree / disagree / unusable — disagree = the reviewer's class is outside the operator's category). - GET /export/labels.csv: reviewed usable rows for training; formula-leading cells are neutralised (booth-supplied names). Crops stay on the volume for the trainer on the host. - Booth payload now carries operatorCategory.classes so the comparison needs no site setup. - Delivery: apps/collector/Dockerfile (monorepo context), docker-compose.collector.yml (bind to the overlay IP; commented `trainer` profile seam for the GPU), a third build step in build-images.yml, a `wash-collector` stack in komodo/resources.toml with one secret per booth referenced from both the collector's token list and the booth's own stack (park-2 lines templated, commented, DNS name for the URL). - Tests: app.test.ts (ingest ok/dup/refusals, review + stats + export, config). Image built and smoke-tested locally (health, ingest, duplicate, auth, verdict, export). Claude-Session: https://claude.ai/code/session_01FWncR69HgGPuei1dLrW3cU