3dtours
477c71d1f4
A negative is opened to be looked at, and the two things a photographer reads
off it first are the numbers the camera wrote and where it stood when it wrote
them. The stage gave the name, the folder, the date and the weight of the file,
which is what the catalogue knows; the rest was a trip into the studio.
Both are now under the picture. The numbers are the camera's own — ISO, focal
length, aperture, shutter, frame size — printed in the order a photographer
says them, and every one the file does not carry is left out rather than stood
in for: a Fuji RAF gets no line at all, a Panasonic RW2 gets the glass and the
shutter and no ISO, and a JPEG gets the lot. Where the frame was shot is the
GPS it carries, named by the geocoder when one answers and left as the
coordinates it holds when none does — a naming is a network round trip on a PRO
account, and the numbers do not wait for it, so a refusal or a miss costs the
reader nothing.
What this costs is one read of the frame's first few hundred kilobytes, the
same head a scan hands the parser, and only the frame that is up pays it: the
strip walks past a hundred negatives without reading one of them. The read is
held by the read itself and not by the frame object under it, because the
catalogue is read back on a timer while a scan runs, which hands the screen a
fresh object every few hundred milliseconds — a screen that went by the object
would read the same file again and again for as long as the scan lasts.
The check's stand-in folder had no frame of its own with a GPS tag on it, and
none of the samples carries one, so the check writes one: an APP1 segment
holding a GPS IFD and nothing else, spliced in right after the frame's SOI. It
is deliberately the first APP1 — a JPEG carries one EXIF segment and the
catalogue reads the first, so a file that has a place is a file that spent its
EXIF on the coordinates. That is also what makes the RAW the frame that shows a
spec line, and the two frames now check the two halves of the same feature.
The run counts what a reading costs, and a head is not what it counted before:
it counts the whole file a lane develops apart from the head a parser is handed,
because "the RAW was read" is a claim about the scan and the preview legitimately
reads the same file's head.
Verified:
library-check.mjs — 47 steps, all passed, two of them new. The JPEG off the
check's server carries a GPS tag and the page keeps 16.0544, 108.2022 under
the frame, with no geocoder behind it to name them; the RAW prints
"26.4mm · f/2.8 · 1/320s" — the glass and the shutter it has, no ISO and no
frame size it does not. Every earlier step still holds, including the one
that says a scan does not read a RAW whose size and write time have not
moved: whole reads {}, heads {"P1010256.RW2":1,"P1010256.JPG":2}, the one
RAW head being the frame that is up.
scan-nav-check.mjs, roll-walk-check.mjs — all passed. frontend tsc --noEmit
clean, vite build clean.
ponytail: the place is named by the API's geocoder and nothing else — no map, no
picker, no place a reader can type. The coordinates are what the file carries,
and a file that carries none shows no line, which is the honest answer and the
common case for a phone frame with location off. The line is read for the raised
frame only; a grid of hundreds is a list of names, and a row of ISO numbers
under each tile is not what it is for.
Co-authored-by: PenguinHarness <noreply@penguin.local>
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.