3dtours
c2a4740a3f
TEMP was a kelvin and nothing else, and the seven presets were seven numbers the two platforms disagreed about: AUTO 5500, DAYLIGHT 5600, DAYLIGHT -3R 5800, CLOUDY 6500, SHADE 7500 here and 8000 in both recipe-creation forms, TUNGSTEN 3200, FLUOR 4000. A chip tapped in the recipe panel and the same chip tapped on the photo printed different frames. The presets are now the phone's own WB_PAIRS — kelvin AND tint — in all three places, so every chip lands the same pair on either platform: AUTO 5500/0 DAYLIGHT 5500/0 DAYLIGHT -3R 5500/-3 CLOUDY 6500/1 SHADE 7500/2 TUNGSTEN 3200/0 FLUOR 4000/3 SHADE read 8000K in RecipeCreatePanel and RecipeCreateModal; it is the WB tab's 7500K/+2 now, so a recipe created in a form prints what the same chip prints on the photo. AUTO and DAYLIGHT stand for one pair, so the pair alone cannot say which of the two is lit. TEMP is therefore keyed by preset and not by value: `wbChoice` remembers the chip last tapped (the phone's own wbChoice), and `wbValue()` answers it only while the engine pair still matches, else the first preset that pair maps to, else the bare kelvin. `wbLabel()` names that pick on the chip, which now always carries one: TEMP AUTO at the neutral pair, TEMP SHADE on a preset, TEMP 6300K on the app's own default recipe where a hand-dragged ruler landed. Measured on the deployed build (`wb-preset-test.cjs`, 33/0): AUTO and DAYLIGHT print the same frame to the level, DAYLIGHT -3R moves the green away from DAYLIGHT at the same 5500K, the ruler warms monotonically across TUNGSTEN 0.525 / FLUOR 0.730 / AUTO 1.000 / CLOUDY 1.141 / SHADE 1.295, a hand-drag to 10000K names the chip `10000K` and warms the picture R x1.183 B x0.793, SHADE tapped after that drag restores the pair 7500/2 and prints the same frame the first tap did (R 156.8 vs 156.8), and a temperature drag leaves a preset's tint standing (FLUOR's +3). kelvinToRGB itself was the other half. It took the ratio of the sRGB-ENCODED blackbody colours and square-rooted it, which measured R x1.06 / B x0.89 from 5500K to 10000K — a shift a swatch shows and a sunset does not. White balance is a gain on LIGHT, so the ratio is taken in linear light now (`planckianLinear`) and tamed by a new `KELVIN_TAME = 0.5`: the same 10000K moves the frame R x1.16 / B x0.76, and 2500K its mirror, which is what a camera does with its WB set 4500K off the scene. One constant scales the whole ruler and both platforms carry the same one. Measured through the app (`_temp-probe.cjs`, gains against 5500K): 2500 R x0.569 B x1.640, 4000 R x0.866 B x1.197, 6500 R x1.057 B x0.940, 10000 R x1.140 B x0.759 — the readout is compressed against the raw gain because the cast lands on encoded, clipping pixels, which is the reason for the tame in the first place. ponytail: no scene meter, so AUTO stays the neutral 5500K/0 pair and is a name for it, not a measurement. Add one when the engine reads the frame. ponytail: KELVIN_TAME scales the whole ruler both ways. Split it into a warm and a cool constant only if the two ends are ever asked to move apart. Verified: `wb-preset-test.cjs` 33/0 and `_temp-probe.cjs`, `sims-test.cjs` 31/0, `fx-mono-test.cjs` 15/0, `wm-font-test.cjs` 38/0 against the deployed build; web `tsc --noEmit` clean, the phone's scoped check down to its two pre-existing `skiaImage.ts` nulls.
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.