Build and publish the Docker image for the PlumBrain LLM Interaction Service

Author: alexban14

.docker/entrypoint.sh

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+#!/bin/bash
+
+export PATH="/root/.local/bin:$PATH"
+
+# Check the value of ENV variable
+if [ "$ENV" = "development" ]; then
+  echo "Running in development mode with hot-reloading..."
+  exec uvicorn app.main:api --host 0.0.0.0 --port 8000 --reload
+else
+  echo "Running in production mode..."
+  exec gunicorn -k uvicorn.workers.UvicornWorker -b 0.0.0.0:8000 app.main:api
+fi

.docker/requirements.txt

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+name: Build and publish the Docker image for the PlumBrain LLM Interaction Service
+
+on:
+  push:
+    branches: ['main']
+
+# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu.
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    # Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
+    permissions:
+      contents: read
+      packages: write
+      attestations: write
+      id-token: write
+      #
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+      # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here.
+      - name: Log in to the Container registry
+        uses: docker/login-action@65b78e6e13532edd9afa3aa52ac7964289d1a9c1
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      # This step uses [docker/metadata-action](https://github.com/docker/metadata-action#about) to extract tags and labels that will be applied to the specified image. The `id` "meta" allows the output of this step to be referenced in a subsequent step. The `images` value provides the base name for the tags and labels.
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+      # This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
+      # It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see [Usage](https://github.com/docker/build-push-action#usage) in the README of the `docker/build-push-action` repository.
+      # It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
+      - name: Build and push Docker image
+        id: push
+        uses: docker/build-push-action@f2a1d5e99d037542a71f64918e516c093c6f3fc4
+        with:
+          context: .
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+      
+      # This step generates an artifact attestation for the image, which is an unforgeable statement about where and how it was built. It increases supply chain security for people who consume the image. For more information, see [Using artifact attestations to establish provenance for builds](/actions/security-guides/using-artifact-attestations-to-establish-provenance-for-builds).
+      - name: Generate artifact attestation
+        uses: actions/attest-build-provenance@v2
+        with:
+          subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}}
+          subject-digest: ${{ steps.push.outputs.digest }}
+          push-to-registry: true
+      

.github/workflows/publish.yaml

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+FROM python:3.11-slim
+
+# Set the working directory
+WORKDIR /app
+
+# Install system dependencies required for building Python packages and running the app
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    curl \
+    libgl1-mesa-glx \
+    libpq-dev \
+    autoconf \
+    gcc \
+    make && \
+    apt-get -y install tesseract-ocr && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Poetry globally
+RUN curl -sSL https://install.python-poetry.org | python3 - && \
+    export PATH="/root/.local/bin:$PATH" && \
+    poetry config virtualenvs.create false
+
+# Install Uvicorn and Gunicorn globally
+RUN pip install --no-cache-dir uvicorn gunicorn
+
+# Entrypoint command
+ENTRYPOINT ["/app/entrypoint.sh"]