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docs: add scan-product reference and update backend/root plans for enhancements

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Rafhan Mazaya Fathurrahman committed 2026-07-08 14:50:32 +07:00
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@@ -26,7 +26,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
## Product/SKU scanning flow — status
See [`plans/next-enhancements.md`](plans/next-enhancements.md) §2 (task 2.1) for full detail — kept there instead of a separate doc so status stays traceable against the rest of the `e`/`n` backlog. **Feature-complete as of 2026-07-08**: the backend (`config/classify_ocr_server.py` with DINOv2 similarity search + YOLO classifier fallback, `api/scan-pfm/route.ts`, `api/produk-pfm/route.ts`, DB schema), the reference photo dataset (`pfm-web-app/public/produk-pfm/foto-kemasan-v2/`, 16 SKU subfolders), the desktop frontend page (`scan-pfm/page.tsx`, full feature parity), and the trained model artifacts (`models/dinov2_index.pkl` — 118/118 photos indexed; `models/produk-pfm-classifier-26n-100e-2026-07-08.pt` — 83.3% top-1 val accuracy on the current thin dataset) all now exist and load cleanly on `pipeline-api` startup. **No mobile web page is planned**: `scan-pfm/page.tsx` is desktop-only, used to test the pipeline; real mobile product scanning goes through the Flutter app instead, so `m-scan-pfm/page.tsx` and its `nginx.conf` route are intentionally left unbuilt/dead (see plan task 2.2, cancelled 2026-07-08). Not yet done: an actual browser pass uploading a photo through `/scan-pfm` end-to-end (verified via container logs/model-loading so far, not a UI test).
**How it works end-to-end** (architecture, endpoints, classification/OCR internals, retraining): [`docs/scan-product.md`](docs/scan-product.md). See [`plans/next-enhancements.md`](plans/next-enhancements.md) §2 (task 2.1) for full detail — kept there instead of a separate doc so status stays traceable against the rest of the `e`/`n` backlog. **Feature-complete as of 2026-07-08**: the backend (`config/classify_ocr_server.py` with DINOv2 similarity search + YOLO classifier fallback, `api/scan-pfm/route.ts`, `api/produk-pfm/route.ts`, DB schema), the reference photo dataset (`pfm-web-app/public/produk-pfm/foto-kemasan-v2/`, 16 SKU subfolders), the desktop frontend page (`scan-pfm/page.tsx`, full feature parity), and the trained model artifacts (`models/dinov2_index.pkl` — 118/118 photos indexed; `models/produk-pfm-classifier-26n-100e-2026-07-08.pt` — 83.3% top-1 val accuracy on the current thin dataset) all now exist and load cleanly on `pipeline-api` startup. **No mobile web page is planned**: `scan-pfm/page.tsx` is desktop-only, used to test the pipeline; real mobile product scanning goes through the Flutter app instead, so `m-scan-pfm/page.tsx` and its `nginx.conf` route are intentionally left unbuilt/dead (see plan task 2.2, cancelled 2026-07-08). Not yet done: an actual browser pass uploading a photo through `/scan-pfm` end-to-end (verified via container logs/model-loading so far, not a UI test).
## Confidentiality