Files
RecipesCam/docker/README.md
T
3dtours 51e572b9ce Persist the studio session across reloads
The working photo and every knob the workspace holds now survive a reload,
for guests as much as for signed-in users:

- engine/session.ts: the knobs go to localStorage (rc.studio.v1) as small
  JSON; the photo goes to IndexedDB, because a 12MP JPEG does not fit in
  localStorage. Both fail soft (private mode, quota) — the studio still works,
  it just forgets.
- App.tsx: state seeds from the stored snapshot synchronously, so the first
  paint already holds the user's settings; the boot effect pulls the photo
  back and adopts it with keepGeo, so the restored params are not clobbered
  by the photo's own EXIF.

Recipes a guest creates with SAVE RECIPE stay session-only, as asked — they
are still gone on reload (create-test asserts it).
2026-09-17 19:12:29 +07:00

88 lines
3.4 KiB
Markdown

# 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.
```bash
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/Syne.woff2` is the
bundled display face 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:
```bash
cd <repo>/docker/frontend/shared/utils
cp <repo>/src/utils/<name>.ts .
```
## Operations
```bash
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
```bash
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.