also build backend-executor image on GHCR

.github/workflows/deploy-gcr.yaml

@@ -36,6 +36,12 @@ jobs:
             docker build -t ghcr.io/${{ github.repository }}/gh-updater:latest -f gh-updater.dockerfile .
             docker push ghcr.io/${{ github.repository }}/gh-updater:latest
 
+      - name: Build and push gh-updater image
+        run: |
+          cd backend-executor
+          docker build -t ghcr.io/${{ github.repository }}/executor:latest -f Dockerfile .
+          docker push ghcr.io/${{ github.repository }}/executor:latest
+
       - name: Build and push frontend image
         run: |
             cd frontend

backend-executor/Dockerfile

@@ -1,17 +1,11 @@
-# Use the official Python image from the Docker Hub
 FROM python:3.12-alpine
 
-# Install any needed packages specified in requirements.txt
 RUN pip install uv
 
-# Set the working directory in the container
 WORKDIR /backend-executor
 
-# Copy the current directory contents into the container at /backend-executor
 COPY . /backend-executor
 
-# Sync the uv (assuming it's a Python package)
 RUN uv sync
 
-# Activate the virtual environment and run the application
-CMD ["sh", "-c", "source .venv/bin/activate && python3 src/main.py"]
+CMD ["sh", "-c", "source .venv/bin/activate && python3 src/main.py"]