Merge pull request #1093 from Luca-Timo/ci/aio-dockerhub-mirror
ci(docker): publish the all-in-one image to Docker Hub, and give aio + ml a Hub page
This commit is contained in:
Luca
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# picpeak — All-in-one
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**picpeak** is an open-source, self-hosted **photo-sharing platform for photographers**, with an optional CRM / accounting suite. This image is the **all-in-one** build: the backend, the built web UI and SQLite in **one container, one process** — no compose file, no separate database, no reverse proxy to wire up.
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- 📦 **Source, docs & issues:** https://github.com/PicPeak/picpeak
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- 🧩 **Multi-container images:** [`picpeak/backend`](https://hub.docker.com/r/picpeak/backend) + [`picpeak/frontend`](https://hub.docker.com/r/picpeak/frontend)
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## Supported tags
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- `latest` / `stable` — latest stable release
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- `x.y.z` — a pinned release (**recommended for production**)
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- `beta` / `main` — latest build from `main` (may be unstable)
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- **Architectures:** `linux/amd64`, `linux/arm64` (x86 and ARM NAS)
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## Quick start
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docker run -d --name picpeak -p 3000:3000 \
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-v picpeak:/data \
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-e JWT_SECRET="$(openssl rand -base64 48)" \
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picpeak/aio:stable
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Then open **http://localhost:3000/admin** and complete the setup wizard. Read the one-time setup token with:
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docker exec picpeak cat /data/db/SETUP_TOKEN
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> 🔗 Share links need to know your address. The image defaults `FRONTEND_URL` to `http://localhost:3000`; pass `-e FRONTEND_URL=https://photos.example.com` (or set the site URL in Settings) before you send a gallery to a client.
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## Ports & volumes
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- Container port **3000** (HTTP; put your own TLS terminator in front for public use).
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- **One volume: `/data`** — back it up and you have backed up the install.
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- `/data/db` — `picpeak.db` and `SETUP_TOKEN`
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- `/data/storage` — originals, thumbnails, archives
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- `/data/logs`, `/data/backup`
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## External Postgres
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SQLite is this image's default, not its only option. Point it at an existing database exactly like the backend image:
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-e DATABASE_CLIENT=pg -e DB_HOST=… -e DB_USER=… -e DB_PASSWORD=…
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## How it differs from the compose stack
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- **SQLite takes one writer at a time** — right for a home server, a NAS or a single studio; the compose stack with PostgreSQL is what scales.
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- **No Redis** — background jobs run in-process.
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- **Face recognition is unavailable** here. It needs the separate [`picpeak/ml`](https://hub.docker.com/r/picpeak/ml) sidecar, and a second image-processing pipeline competing with thumbnailing for one container's CPU would just make the install slow. Run the multi-container deployment for that feature.
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You can move to the full stack later without reinstalling: take a `.picpeak` backup and restore it there.
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## Docs
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Volume layout, the external-Postgres variant, TLS, updates and the limits: **https://docs.picpeak.app/deployment/single-container**
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# picpeak — ML sidecar (face detection)
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**picpeak** is an open-source, self-hosted **photo-sharing platform for photographers**. This image is the **optional face-detection sidecar**: it detects faces in one image and returns a bounding box, five landmarks, quality signals and a 512-d embedding per face.
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**Nothing else.** No database, no volumes, no state, no egress, no model download at runtime. Clustering, person identity, thresholds and every privacy decision live in the picpeak backend, where the data already is — this service forgets each image the moment it answers.
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If you don't run this container, the feature does not exist.
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- 📦 **Source, docs & issues:** https://github.com/PicPeak/picpeak
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- 🧩 **Runs with:** [`picpeak/backend`](https://hub.docker.com/r/picpeak/backend) + [`picpeak/frontend`](https://hub.docker.com/r/picpeak/frontend)
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## Supported tags
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- `latest` / `stable` — latest stable release
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- `x.y.z` — a pinned release (**recommended for production** — keep it on the **same** tag as the backend)
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- `beta` / `main` — latest build from `main` (may be unstable)
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- **Architectures:** `linux/amd64`, `linux/arm64`
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> The sidecar's API contract is versioned with the backend that calls it, so `PICPEAK_CHANNEL` resolves the same string across all picpeak images.
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## Turning it on
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The maintained compose file already contains this service behind a profile — you do not write it by hand:
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docker compose --profile faces up -d
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Then two deliberate actions in the app, neither of which is installing this container:
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1. Enable the **`faces`** feature flag in admin settings.
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2. Enable **"Detect people in this gallery"** per event.
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**Nothing in the backend touches this service while the flag is off**, so an install without this container never attempts a connection.
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## Configuration
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| `FACE_ML_TOKEN` | **Required.** The container **refuses to start** without it, so an accidentally published port is never a free face-detection API. Must match the backend's `FACE_ML_TOKEN`. |
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| `FACE_ORT_THREADS` | ONNX Runtime threads (default `1`). |
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Port **8000**, no volumes, no published ports needed — the backend reaches it on the compose network. `FACE_ML_URL` defaults to `http://picpeak-ml:8000` (the compose service name), so the standard deployment needs no URL configuration.
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## API
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All endpoints except `/health` require the `X-Face-ML-Token` header.
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| `GET /health` | `{"status": "ok"}` — unauthenticated, used by the healthcheck |
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| `GET /info` | `{detector, embedder, model_version, dim}` |
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| `POST /faces` | multipart `image` → `{model_version, faces: [...]}` |
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## Models
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YuNet (detection) + FaceNet-512 (embedding), **both MIT**, baked into the image and verified by SHA-256 at build time — never downloaded at runtime, so airgapped installs work and a model cannot change under a running deployment. See [`ml/LICENSES.md`](https://github.com/PicPeak/picpeak/blob/main/ml/LICENSES.md) for why these and not InsightFace's non-commercial weights.
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## Not available on the all-in-one image
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[`picpeak/aio`](https://hub.docker.com/r/picpeak/aio) sets `PICPEAK_SINGLE_CONTAINER=true` and the backend refuses to enable face recognition there — a second image-processing pipeline competing with thumbnailing for one small container's CPU would not fail loudly, it would just make the install slow. Run the multi-container deployment for this feature.
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## Docs
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**https://docs.picpeak.app** · sidecar internals, model conversion and the alignment/threshold contract: [`ml/README.md`](https://github.com/PicPeak/picpeak/blob/main/ml/README.md)
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@@ -1,8 +1,8 @@
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# Docker Build and Push Workflow
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This GitHub Actions workflow automatically builds and pushes Docker images for the backend, the frontend, and the all-in-one image to GitHub Container Registry (ghcr.io).
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This GitHub Actions workflow automatically builds and pushes Docker images for the backend, the frontend, the all-in-one image and the optional ML sidecar to GitHub Container Registry (ghcr.io). On the canonical org repo every one of them is mirrored to Docker Hub as `docker.io/picpeak/{backend,frontend,aio,ml}`; forks build the same images GHCR-only.
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The **all-in-one image** (`<repo>/aio`, built from `Dockerfile.aio` at the repo root, #1042) bundles the backend and the built frontend into a single container with SQLite as the default engine — one `docker run`, no compose. It follows the same per-arch build → digest-merge → per-version tag scheme as the other two images, is currently GHCR-only (the Docker Hub mirror gets wired later), and every PR additionally runs a `smoke-aio` job that boots the image and asserts the SPA shell, brand-title rendering, immutable asset caching, and the SQLite engine resolution.
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The **all-in-one image** (`<repo>/aio`, built from `Dockerfile.aio` at the repo root, #1042) bundles the backend and the built frontend into a single container with SQLite as the default engine — one `docker run`, no compose. It follows the same per-arch build → digest-merge → per-version tag scheme as the other two images, is mirrored to Docker Hub (`docker.io/picpeak/aio`) alongside GHCR on the canonical org repo, and every PR additionally runs a `smoke-aio` job that boots the image and asserts the SPA shell, brand-title rendering, immutable asset caching, and the SQLite engine resolution.
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## Features
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@@ -12,6 +12,7 @@ The **all-in-one image** (`<repo>/aio`, built from `Dockerfile.aio` at the repo
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- 🔒 **Security scanning** with Trivy vulnerability scanner
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- 💾 **Build caching** for faster subsequent builds
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- 📊 **Build summaries** in GitHub Actions UI
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- 📝 **Docker Hub pages** for `aio` and `ml` synced from `.github/dockerhub/*.md` on every `main` merge (`dockerhub-descriptions` job). `backend` and `frontend` pages are still hand-maintained in the Hub UI — add `.github/dockerhub/{backend,frontend}.md` with their current text before putting them under the same job.
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## Authentication
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@@ -54,6 +55,11 @@ docker pull ghcr.io/picpeak/picpeak/backend:v1.0.0
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# Pull for specific architecture
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docker pull --platform linux/arm64 ghcr.io/picpeak/picpeak/backend:latest
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# The same images on Docker Hub (identical tags, identical digests)
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docker pull picpeak/backend:latest
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docker pull picpeak/aio:stable
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docker pull picpeak/ml:stable
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```
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### Using in Docker Compose
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@@ -780,6 +780,15 @@ jobs:
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run: |
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repo_lc="${GITHUB_REPOSITORY,,}"
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echo "AIO_IMAGE_NAME=${repo_lc}/aio" >> "$GITHUB_ENV"
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# Mirror manifests to Docker Hub (picpeak/aio) only on the canonical org
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# repo, where the DOCKERHUB_* secrets live. Forks (and any other owner)
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# fall back to GHCR-only — the Docker Hub image line and login are gated
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# on this flag so their builds keep working unchanged.
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if [[ "$GITHUB_REPOSITORY" == "PicPeak/picpeak" ]]; then
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echo "DOCKERHUB_ENABLED=true" >> "$GITHUB_ENV"
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else
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echo "DOCKERHUB_ENABLED=false" >> "$GITHUB_ENV"
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fi
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- name: Download digest artifacts
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uses: actions/download-artifact@v4
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echo "is_prerelease=false" >> $GITHUB_OUTPUT
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fi
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# Same per-version tag scheme as backend/frontend: every Release Please
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# version publishes a matching aio image. GHCR-only for now — the Docker
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# Hub mirror (docker.io/picpeak/aio) is wired later once the Hub repo
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# exists: add the images line + Docker Hub login exactly like
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# merge-backend (#1042).
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- name: Log in to Docker Hub
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if: env.DOCKERHUB_ENABLED == 'true'
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uses: docker/login-action@v3
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with:
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registry: docker.io
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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# Same per-version tag scheme as backend/frontend/ml: every Release Please
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# version publishes a matching aio image, mirrored to Docker Hub
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# (docker.io/picpeak/aio) on the canonical org repo (#1042).
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- name: Extract metadata for AIO
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id: meta-aio
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ env.AIO_IMAGE_NAME }}
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images: |
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${{ env.REGISTRY }}/${{ env.AIO_IMAGE_NAME }}
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${{ env.DOCKERHUB_ENABLED == 'true' && 'docker.io/picpeak/aio' || '' }}
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labels: |
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org.opencontainers.image.title=PicPeak All-in-one
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org.opencontainers.image.description=PicPeak backend + frontend in a single container (SQLite default)
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@@ -857,6 +874,11 @@ jobs:
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run: |
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docker buildx imagetools inspect ${{ env.REGISTRY }}/${{ env.AIO_IMAGE_NAME }}:${{ steps.meta-aio.outputs.version }}
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- name: Inspect manifest (Docker Hub)
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if: env.DOCKERHUB_ENABLED == 'true'
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run: |
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docker buildx imagetools inspect docker.io/picpeak/aio:${{ steps.meta-aio.outputs.version }}
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# Boot-level verification of the AIO image on every PR: build for the
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# runner's arch, run it with no DB env (SQLite default), and assert the
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# things nginx used to guarantee — SPA shell with the brand title rendered,
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@@ -1284,6 +1306,53 @@ jobs:
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run: |
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docker buildx imagetools inspect docker.io/picpeak/ml:${{ steps.meta-ml.outputs.version }}
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# ---------------------------------------------------------------------------
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# Docker Hub repository pages
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# ---------------------------------------------------------------------------
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# The Hub overview for an image is repository metadata, not part of the
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# manifest, so pushing tags never updates it. Keep the copy for the two
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# newest images in-repo and push it from CI, so a Hub visitor is never
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# reading a page that describes a release from six months ago.
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#
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# Scope: aio and ml only. picpeak/{backend,frontend} still have their pages
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# maintained by hand in the Hub UI — bring them under this job by adding
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# .github/dockerhub/{backend,frontend}.md with the current text first,
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# otherwise this would overwrite them with a near-copy.
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#
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# Only on `main` pushes for the canonical org repo: descriptions are
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# per-repository, not per-tag, so once per merge is exactly enough.
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dockerhub-descriptions:
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needs: [merge-aio, merge-ml]
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if: always() && github.repository == 'PicPeak/picpeak' && github.ref == 'refs/heads/main' && needs.merge-aio.result == 'success'
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runs-on: ubuntu-latest
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permissions:
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contents: read
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Update picpeak/aio description
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uses: peter-evans/dockerhub-description@v4
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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repository: picpeak/aio
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short-description: "picpeak all-in-one — self-hosted photo sharing + CRM in a single container (SQLite)."
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readme-filepath: .github/dockerhub/aio.md
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# Skipped whenever the sidecar itself was skipped (FACENET_ONNX_URL unset),
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# since the Hub repository only exists once something has been pushed to it.
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- name: Update picpeak/ml description
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if: needs.merge-ml.result == 'success'
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uses: peter-evans/dockerhub-description@v4
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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repository: picpeak/ml
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short-description: "picpeak face-detection sidecar — optional and stateless. Pairs with picpeak/backend."
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readme-filepath: .github/dockerhub/ml.md
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summary:
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needs: [build-backend, merge-backend, build-frontend, merge-frontend, build-aio, merge-aio, smoke-aio, build-ml, merge-ml]
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if: always()
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@@ -1388,10 +1457,14 @@ jobs:
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if [[ "${{ needs.merge-ml.result }}" == "success" ]]; then
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echo "- ML sidecar (optional): \`${{ env.REGISTRY }}/${{ env.ML_IMAGE_NAME }}\`" >> $GITHUB_STEP_SUMMARY
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fi
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echo "- All-in-one: \`${{ env.REGISTRY }}/${{ env.AIO_IMAGE_NAME }}\` (GHCR only — Docker Hub mirror pending)" >> $GITHUB_STEP_SUMMARY
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echo "- All-in-one: \`${{ env.REGISTRY }}/${{ env.AIO_IMAGE_NAME }}\`" >> $GITHUB_STEP_SUMMARY
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if [[ "$DOCKERHUB_ENABLED" == "true" ]]; then
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echo "- Backend (Docker Hub): \`docker.io/picpeak/backend\`" >> $GITHUB_STEP_SUMMARY
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echo "- Frontend (Docker Hub): \`docker.io/picpeak/frontend\`" >> $GITHUB_STEP_SUMMARY
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echo "- All-in-one (Docker Hub): \`docker.io/picpeak/aio\`" >> $GITHUB_STEP_SUMMARY
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if [[ "${{ needs.merge-ml.result }}" == "success" ]]; then
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echo "- ML sidecar (Docker Hub): \`docker.io/picpeak/ml\`" >> $GITHUB_STEP_SUMMARY
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fi
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fi
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echo "" >> $GITHUB_STEP_SUMMARY
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@@ -19,7 +19,7 @@
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> [!IMPORTANT]
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> **PicPeak has moved to its own GitHub organization.** Docker images are now at `ghcr.io/picpeak/picpeak/{backend,frontend}` and active development is on `main`. The old `ghcr.io/the-luap/...` path still responds but its tags are **frozen** at 2026-05-27 — if updates never arrive, check your image path first. See **[`docs/migration-to-org.md`](docs/migration-to-org.md)** for the one-line `docker-compose.yml` edit.
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> **PicPeak has moved to its own GitHub organization.** Docker images are now at `ghcr.io/picpeak/picpeak/{backend,frontend,aio,ml}` (and on Docker Hub as `picpeak/{backend,frontend,aio,ml}`) and active development is on `main`. The old `ghcr.io/the-luap/...` path still responds but its tags are **frozen** at 2026-05-27 — if updates never arrive, check your image path first. See **[`docs/migration-to-org.md`](docs/migration-to-org.md)** for the one-line `docker-compose.yml` edit.
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## Contents
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@@ -83,6 +83,17 @@ Then open **http://localhost:3000/admin** and read the setup token with `docker
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The compose stack above is still the right choice for anything busier — SQLite takes one writer at a time, and Postgres is what scales. You can move to it later without reinstalling: take a `.picpeak` backup and restore it into the full stack. See **[Single-container install](https://docs.picpeak.app/deployment/single-container)** for the volume layout, the external-Postgres variant, TLS, and the limits.
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### Docker images
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| | GHCR | Docker Hub |
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|---|---|---|
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| Backend | `ghcr.io/picpeak/picpeak/backend` | [`picpeak/backend`](https://hub.docker.com/r/picpeak/backend) |
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| Frontend | `ghcr.io/picpeak/picpeak/frontend` | [`picpeak/frontend`](https://hub.docker.com/r/picpeak/frontend) |
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| All-in-one | `ghcr.io/picpeak/picpeak/aio` | [`picpeak/aio`](https://hub.docker.com/r/picpeak/aio) |
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| ML sidecar (optional) | `ghcr.io/picpeak/picpeak/ml` | [`picpeak/ml`](https://hub.docker.com/r/picpeak/ml) |
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Both registries get the same digests and the same tags — `stable`/`latest`, a pinned `x.y.z`, and `beta`/`main` for the active development channel — for `linux/amd64` and `linux/arm64`. Keep every image in one install on the **same** tag.
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## 🌟 Why PicPeak?
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Unlike expensive SaaS solutions, PicPeak gives you:
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@@ -97,7 +108,7 @@ Unlike expensive SaaS solutions, PicPeak gives you:
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**For photographers** — drag & drop upload, auto-expiring & password-protected galleries, automated emails, an analytics dashboard, custom themes, a public landing page, and a [Live Slideshow](https://docs.picpeak.app/features/live-slideshow) projector view that auto-picks-up new uploads during live events.
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**For clients** — clean mobile-optimized galleries, one-click bulk downloads, smart search, optional guest uploads, and download protection (watermarking + right-click prevention).
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**For clients** — clean mobile-optimized galleries, one-click bulk downloads, smart search, **People in this gallery** face grouping (opt-in per gallery, needs the optional [ML sidecar](ml/README.md)), optional guest uploads, and download protection (watermarking + right-click prevention).
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**Technical** — Docker-ready, automatic thumbnail generation, external media reference mode, smart archiving of expired galleries, S3-compatible [storage backends](https://docs.picpeak.app/features/storage-backends), [webhooks](https://docs.picpeak.app/features/webhooks), and security-first defaults (JWT, rate limiting, CORS).
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Reference in New Issue
Block a user