Publish docker

.forgejo/workflows/docker.yml

@@ -1,10 +1,13 @@
-name: Publish on DockerHub
+name: Publish container image on Forgejo
 
 on:
   push:
-    tags: ['*']
+    tags: ["*"]
   workflow_dispatch:
 
+env:
+  REGISTRY: git.schmelczer.dev
+
 jobs:
   publish:
     runs-on: docker
@@ -35,17 +38,25 @@ jobs:
       - name: Set up Docker Buildx
         uses: https://github.com/docker/setup-buildx-action@v3
 
-      - name: Log in to Docker Hub
+      - name: Log in to the Forgejo container registry
         uses: https://github.com/docker/login-action@v3
         with:
-          username: ${{ secrets.DOCKER_USERNAME }}
+          registry: ${{ env.REGISTRY }}
-          password: ${{ secrets.DOCKER_PASSWORD }}
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.DOCKER_PACKAGE_TOKEN }}
 
       - name: Extract metadata for the Docker image
         id: meta
         uses: https://github.com/docker/metadata-action@v5
         with:
-          images: schmelczera/great-ai
+          images: ${{ env.REGISTRY }}/${{ github.repository }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=semver,pattern={{version}}
+            type=raw,value=latest,enable={{is_default_branch}}
+          labels: |
+            org.opencontainers.image.source=https://git.schmelczer.dev/${{ github.repository }}
 
       - name: Build and push
         uses: https://github.com/docker/build-push-action@v6

Dockerfile

@@ -6,7 +6,7 @@ COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
 LABEL org.opencontainers.image.title="GreatAI package wrapper image"
 LABEL org.opencontainers.image.vendor="ScoutinScience B.V."
 LABEL org.opencontainers.image.authors="andras@schmelczer.dev"
-LABEL org.opencontainers.image.source="https://github.com/schmelczer/great-ai"
+LABEL org.opencontainers.image.source="https://git.schmelczer.dev/andras/great-ai"
 
 SHELL ["/bin/bash", "-c"]
 

README.md

@@ -2,12 +2,10 @@
 
 > Prepare your prototype AI code for production deployment.
 
-[![PyPI version](https://badge.fury.io/py/great-ai.svg)](https://badge.fury.io/py/great-ai)
+[![PyPI version](https://img.shields.io/pypi/v/great-ai)](https://pypi.org/project/great-ai/)
-[![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai)
+[![Downloads](https://static.pepy.tech/badge/great-ai/month)](https://pepy.tech/projects/great-ai)
-[![Docker Pulls](https://img.shields.io/docker/pulls/schmelczera/great-ai)](https://hub.docker.com/repository/docker/schmelczera/great-ai)
+[![Container image](https://img.shields.io/badge/container-Forgejo-orange)](https://git.schmelczer.dev/andras/great-ai/packages)
-[![Check](https://git.schmelczer.dev/andras/great-ai/badges/workflows/test.yml/badge.svg?branch=main)](https://git.schmelczer.dev/andras/great-ai/actions?workflow=test.yml)
+[![Check](https://git.schmelczer.dev/andras/great-ai/badges/workflows/test.yml/badge.svg?branch=main&label=Check)](https://git.schmelczer.dev/andras/great-ai/actions?workflow=test.yml)
-[![Sonar line coverage](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=coverage)](https://sonar.scoutinscience.com/dashboard?id=great-ai)
-[![Sonar LoC](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=ncloc)](https://sonar.scoutinscience.com/dashboard?id=great-ai)
 
 Applying AI is becoming increasingly more accessible, but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing unintended biases. GreatAI helps prepare prototype AI code for deployment with tracing, model versioning, and API scaffolding. These engineering features support oversight; they do not establish a model's accuracy, fairness, or trustworthiness, which require evaluation for the intended use case.
 
@@ -72,10 +70,10 @@ With uv installed and your virtual environment active:
 uv pip install great-ai
 ```
 
-## Find `great-ai` on [DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai)
+## Find `great-ai` on [Forgejo](https://git.schmelczer.dev/andras/great-ai/packages)
 
 ```sh
-docker run -p6060:6060 schmelczera/great-ai
+docker run -p6060:6060 git.schmelczer.dev/andras/great-ai:latest
 ```
 
 ## Contribute
@@ -119,5 +117,12 @@ scripts/release.sh 0.2.0
 ```
 
 This bumps the version, builds, commits, tags, and pushes `main` and the tag
-atomically. The tag triggers the PyPI and DockerHub workflows, which require
+atomically. The tag triggers the PyPI and Forgejo container publishing workflows,
-`PYPI_TOKEN`, `DOCKER_USERNAME`, and `DOCKER_PASSWORD` in Forgejo repository secrets.
+which require `PYPI_TOKEN` and `DOCKER_PACKAGE_TOKEN` in Forgejo Actions secrets.
+`DOCKER_PACKAGE_TOKEN` must belong to the repository owner and have
+`write:package` permission.
+
+Container images are published only to `git.schmelczer.dev/andras/great-ai` for
+Linux AMD64 and ARM64. Stable release tags publish both `vX.Y.Z` and `X.Y.Z`,
+and update `latest`. Running the container workflow manually on `main` also
+updates `latest`.

docs/examples/scibert/additional-files.md

@@ -38,7 +38,7 @@ numpy==1.23.0
 
 ```Dockerfile title="Dockerfile"
 # syntax=docker/dockerfile:1
-FROM schmelczera/great-ai:v0.1.6
+FROM git.schmelczer.dev/andras/great-ai:latest
 
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
 
@@ -55,6 +55,9 @@ CMD ["deploy.ipynb"]
 
 > This is used by the CD pipeline to create the production deployment of the service.
 
+For reproducible deployments, replace `latest` with a release tag from the
+[Forgejo container registry](https://git.schmelczer.dev/andras/great-ai/packages).
+
 ## .dockerignore
 
 ```dockerignore title=".dockerignore"

docs/how-to-guides/use-service.md

@@ -107,7 +107,7 @@ Run the notebook directly in a container or create a service for it using your f
 
 ```sh
 docker run -p 6060:6060 --volume `pwd`:/app --rm \
-  schmelczera/great-ai deploy.ipynb
+  git.schmelczer.dev/andras/great-ai:latest deploy.ipynb
 ```
 > You can replace ``pwd`` with the path to your code's folder.
 
@@ -119,7 +119,7 @@ To this end, you can also create a custom Docker image. It is especially useful
 
 ```Dockerfile
 # syntax=docker/dockerfile:1
-FROM schmelczera/great-ai:latest
+FROM git.schmelczer.dev/andras/great-ai:latest
 
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
 

docs/index.md

@@ -3,12 +3,10 @@
     <img  src="media/logo.png" width=80>
 </div>
 
-[![PyPI version](https://badge.fury.io/py/great-ai.svg)](https://badge.fury.io/py/great-ai)
+[![PyPI version](https://img.shields.io/pypi/v/great-ai)](https://pypi.org/project/great-ai/)
-[![Downloads](https://pepy.tech/badge/great-ai/month)](https://pepy.tech/project/great-ai)
+[![Downloads](https://static.pepy.tech/badge/great-ai/month)](https://pepy.tech/projects/great-ai)
-[![Docker Pulls](https://img.shields.io/docker/pulls/schmelczera/great-ai)](https://hub.docker.com/repository/docker/schmelczera/great-ai)
+[![Container image](https://img.shields.io/badge/container-Forgejo-orange)](https://git.schmelczer.dev/andras/great-ai/packages)
-[![Check](https://git.schmelczer.dev/andras/great-ai/badges/workflows/test.yml/badge.svg?branch=main)](https://git.schmelczer.dev/andras/great-ai/actions?workflow=test.yml)
+[![Check](https://git.schmelczer.dev/andras/great-ai/badges/workflows/test.yml/badge.svg?branch=main&label=Check)](https://git.schmelczer.dev/andras/great-ai/actions?workflow=test.yml)
-[![Sonar line coverage](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=coverage)](https://sonar.scoutinscience.com/dashboard?id=great-ai)
-[![Sonar LoC](https://sonar.scoutinscience.com/api/project_badges/measure?project=great-ai&metric=ncloc)](https://sonar.scoutinscience.com/dashboard?id=great-ai)
 
 Applying AI is becoming increasingly easier, but many case studies have shown that these applications are often deployed poorly. This may lead to suboptimal performance and to introducing [unintended biases](https://en.wikipedia.org/wiki/Weapons_of_Math_Destruction){ target=_blank }. GreatAI helps ==prepare prototype AI code for deployment with tracing, model versioning, and API scaffolding==. These engineering features support oversight; they do not establish a model's accuracy, fairness, or trustworthiness, which require evaluation for the intended use case.
 
@@ -112,7 +110,7 @@ However, research indicates that professionals rarely use them. This may be due
 <div style="display: flex; justify-content: space-evenly; flex-wrap: wrap;" markdown>
 [:fontawesome-brands-python: Find it on PyPI](https://pypi.org/project/great-ai){ .md-button .md-button--primary }
 
-[:fontawesome-brands-docker: Find it on DockerHub](https://hub.docker.com/repository/docker/schmelczera/great-ai){ .md-button .md-button--primary }
+[:fontawesome-brands-docker: Find the container image on Forgejo](https://git.schmelczer.dev/andras/great-ai/packages){ .md-button .md-button--primary }
 
 [:fontawesome-solid-laptop-code: Check out the tutorial](https://great-ai.schmelczer.dev/tutorial){ .md-button .md-button--primary }
 </div>

mkdocs.yaml

@@ -19,8 +19,8 @@ extra:
       link: https://github.com/schmelczer/great-ai
       name: great-ai on Github
     - icon: fontawesome/brands/docker
-      link: https://hub.docker.com/repository/docker/schmelczera/great-ai
+      link: https://git.schmelczer.dev/andras/great-ai/packages
-      name: great-ai on DockerHub
+      name: great-ai container image on Forgejo
     - icon: fontawesome/brands/python
       link: https://pypi.org/project/great-ai
       name: great-ai on PyPI

pyproject.toml

@@ -93,7 +93,7 @@ doctest_optionflags = ["ELLIPSIS"]
 [project.urls]
 Documentation = "https://great-ai.schmelczer.dev"
 GitHub = "https://github.com/schmelczer/great-ai"
-DockerHub = "https://hub.docker.com/repository/docker/schmelczera/great-ai"
+"Container image" = "https://git.schmelczer.dev/andras/great-ai/packages"
 
 [project.scripts]
 great_ai = "great_ai.__main__:main"