Files
RecipesCam/docker
3dtours 7dea0f1e7b web: the mixer's card can be dragged off the colour it was read at
The card hangs on the point the eyedropper read, which is exactly where the
user wants to watch the band move — so it covers the patch it is editing. Its
body now takes a drag: the offset is a fraction of the photo, which is the
layer the card lives in, so a zoom keeps it where it was put and a fresh pick
drops it back on its own point. The knobs and the close button keep the pointer
to themselves, and the anchor cannot leave the photo, so the card is always
half in reach of a drag back.
2026-09-22 11:13:21 +07:00
..

RecipesCam web — self-contained stack

A Docker-hosted web build of RecipesCam. Everything it needs is in this folder: move it to another machine, run two commands, and the app is up. It does not need the React Native project around it.

cp .env.example .env
docker compose up -d --build
# → http://localhost:8090

What runs where

Service Image Role
frontend nginx:1.27-alpine (built by frontend/Dockerfile) Static SPA + /api/ reverse proxy
api node:22-slim (built by backend/Dockerfile) Accounts + saved recipes, SQLite on ./data

frontend resolves api through Docker's embedded DNS and proxies /api/* to it — that is why the API container is named api and why it is not published on the host. Only ${WEB_PORT:-8090} is exposed.

Photos never leave the browser. The CanvasKit render pipeline (grade, frame, watermarks, JPEG encode) runs in the visitor's tab; the API only stores recipes as JSON.

Layout

docker-compose.yml      the stack
.env.example            WEB_PORT
data/                   SQLite (created on first run, gitignored)
backend/                Fastify + better-sqlite3 API, own Dockerfile
frontend/               Vite + React + CanvasKit SPA, own Dockerfile + nginx.conf
  shared/               vendored copies of the app's types + utils (see below)
  src/engine/           skiaShim.ts (CanvasKit) + exportEngine.ts (render pipeline)
                        + session.ts (localStorage/IndexedDB studio persistence)

Vendored files

frontend/shared/{types/index.ts,utils/*.ts} are byte-identical copies of src/types/index.ts and ten src/utils/*.ts files from the React Native project (@shopify/react-native-skia is aliased to src/engine/skiaShim.ts in vite.config.ts + tsconfig.json, so those files compile unchanged):

cinemaShader colorUtils defaultRecipes exifWrite frameUtils jpegDpi paramDefs recipeShare skiaImage toneShader.

The landing page needs no CDN: frontend/public/assets/fonts/*.woff2 are the seven self-hosted faces behind the three font groups the Themes menu offers (Plus Jakarta Sans / Inter / JetBrains Mono, Fraunces / Be Vietnam Pro / Courier Prime, Be Vietnam Pro / Space Mono — all SIL OFL, pulled from Google Fonts, vietnamese + latin + latin-ext subsets), and frontend/public/assets/samples/s*.jpg are the six placeholder negatives the film strip, preset tester and QR card show (swap them for real graded stills whenever we have them). Its one foreign request is the QR image from api.qrserver.com, which degrades to an empty slot offline.

When the app changes one of them, copy it back in — the renderer is only "parity" for as long as these stay in sync:

cd <repo>/docker/frontend/shared/utils
cp <repo>/src/utils/<name>.ts .

Operations

docker compose logs -f api        # API log
docker compose restart api        # after backend/src changes (rebuild: --build)
docker compose down               # stop; ./data survives

Backup is the ./data folder — that is the whole database.

Checks

curl -s http://localhost:8090/api/health          # {"ok":true}
curl -sI http://localhost:8090/                   # 200, index.html

Then open the UI, drop a photo in, and confirm the preview shows the picture and EXPORT downloads a JPEG that opens. The preview going solid black while the export still reports a plausible size is the one failure mode worth knowing: it means the CanvasKit GPU surfaces lost their shared GrDirectContext (see frontend/src/engine/skiaShim.ts), and with no GPU the raster fallback renders the same pipeline correctly, just slower.