Merge pull request #59 from mlexchange/actions-for-spin-deployment

Actions for spin deployment

.github/workflows/publish-image.yml

@@ -0,0 +1,45 @@
+name: Create and publish image
+
+on:
+  push:
+    branches: ['main']
+    tags: ['v*']
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+
+      - name: Log in to the Container registry
+        uses: docker/login-action@v2
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@v4
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v4
+        with:
+          context: .
+          file: Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.9
+
+# Create and set working directory
+WORKDIR /app
+
+# Install Python dependencies
+RUN python -m pip install --upgrade pip
+COPY requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the remainder of the code into the image
+COPY . ./
+
+EXPOSE 8075
+# Run Dash app with gunicorn
+CMD ["gunicorn", "-b", "0.0.0.0:8075", "--reload", "app:server"]
+# Better than the alternative running of app.py directly with
+#CMD ["python", "app.py"]

README.md

@@ -14,8 +14,8 @@ pip install -r requirements.txt
 2. Configure a connection to the Tiled server via a `.env` file with the following environment variables:
 
 ```
-TILED_URI='https://mlex-segmentation.als.lbl.gov'
-API_KEY='<key-provided-on-request>'
+TILED_URI=https://mlex-segmentation.als.lbl.gov
+API_KEY=<key-provided-on-request>
 ```
 
 3. Start a local server: 

docker-compose.yml

@@ -0,0 +1,24 @@
+version: '3.7'
+
+services:
+  app:
+    container_name: highres_seg_demo
+    build: .
+    command: 'gunicorn -b 0.0.0.0:8075 --reload app:server'
+    environment:
+      TILED_URI: '${TILED_URI}'
+      API_KEY: '${API_KEY}'
+    volumes:
+      - ./app.py:/app/app.py
+      - ./callbacks:/app/callbacks
+      - ./components:/app/components
+      - ./utils:/app/utils
+    ports:
+      - '8075:8075'
+
+#     networks:
+#       - computing_api_default
+
+# networks:
+#   computing_api_default:
+#     external: true