- pillow==11.1.0 has no prebuilt wheel for Python 3.14, so pip fell back to building from source and failed without libjpeg dev headers installed. Bumped to 12.3.0 (has wheels); re-ran the local test suite against it with no other changes needed. - The local-dev uvicorn command in the README was missing --host 0.0.0.0, so it defaulted to 127.0.0.1 -- unreachable from the ESP32 on the LAN. The Docker image already binds 0.0.0.0 correctly; only the doc'd local command was wrong.
ESPresso Frame Server
Pulls photos from an Immich album, resizes/dithers/quantizes them to the E Ink Spectra 6 panel's exact 6-color format, and serves the frame a ready-to-display image once an hour. All the image processing happens here so the ESP32 never has to decode a JPEG or run a dithering algorithm itself -- it just streams the response straight to the panel.
Setup
- Get an Immich API key: in Immich, go to Account Settings -> API Keys -> New API Key. Read-only access to albums/assets is enough.
- Run the server:
docker compose up -d - Open
http://<this-machine>:8420/in a browser, enter your Immich URL and API key, click Load Albums, pick one, and Save. - On the ESP32's captive portal setup form, set the Tools Server field
to
<this-machine>:8420.
Endpoints
GET /-- config UIGET /api/albums-- lists Immich albums (used by the config UI)POST /api/config-- saves Immich URL/API key/album/orderGET /frame/image-- returns the current photo pre-processed into the panel's raw 800x480, 4-bit-per-pixel, 2-pixels-per-byte format (application/octet-stream, exactly 192,000 bytes)GET /health-- liveness check
Notes
- Config (including the Immich API key) is stored in
./data/config.jsonon the host via the compose volume mount. /frame/imageisn't authenticated yet. That's fine on a trusted home LAN for now, but worth revisiting once the ESP32 side is wired up to send a shared device token.- The 6-color palette RGB values in
app/image_pipeline.pyare approximations, not measured values (Waveshare doesn't publish exact color primaries for this panel) -- tune them once you can compare a rendered test image against the real panel.
Deploying a pre-built image
Every push to main that touches server/ triggers a Gitea Actions
workflow (.gitea/workflows/server-docker-build.yml) that builds this
image and pushes it to this repo's Gitea Container Registry at
git.thumeit.com/tfaour/espresso-frame-server. docker-compose.yml
already points at that image, so a deploy host doesn't need this repo's
build context at all -- just the compose file:
docker compose pull
docker compose up -d
docker compose build (or up --build) still works too, for local
iteration against your own Dockerfile changes.
Local development (without Docker)
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
CONFIG_PATH=./data/config.json uvicorn app.main:app --reload --host 0.0.0.0 --port 8420
--host 0.0.0.0 matters here: without it, uvicorn defaults to
127.0.0.1 (localhost-only), which the ESP32 can't reach over the LAN.
The Docker image already binds 0.0.0.0 by default.