feat: build and push docker image

.github/workflows/docker.yaml

@@ -0,0 +1,41 @@
+name: Docker
+on:
+  push:
+    branches:
+      - "main"
+  pull_requests:
+
+env:
+  REGISTRY: docker.io
+  IMAGE_NAME: example-compute-block
+
+jobs:
+  build:
+    name: Build docker image
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ github.token }}
+
+      - name: Extract metadata for docker
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=ref, event=pr
+            type=raw, value=latest, enable=${{ (github.ref == format('refs/heads/{0}', 'main')) }}
+      
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}

Dockerfile

@@ -1,22 +1,22 @@
 FROM python:3.12
 
+ENV PYTHONUNBUFFERED=1
+
 # Install Java for Spark 
 RUN apt-get update && \
     apt-get install -y default-jdk && \
     apt-get clean
 
-COPY . ./app
-
 WORKDIR /app
 
-# Using this example-compute-block for testing, you have to copy your current version of scystream-sdk into this
-# directory. We copy it into the docker container, and install it there via the folder.
-RUN python3 -m venv .venv && \
-    .venv/bin/pip install --upgrade pip && \
-    .venv/bin/pip install ./scystream-sdk
+COPY requirements.txt /app
+
+RUN pip install --upgrade pip && pip install -r requirements.txt
+
+COPY . /app
+
 
-ENV VIRTUAL_ENV=/app/.venv
-ENV PATH="/app/.venv/bin:$PATH"
+# CMD sh -c "python -c 'import main; from scystream.sdk.scheduler import Scheduler; Scheduler.execute_function(\"test_file\")'"
 
-# Keep the container running. Just for testing, normally placeholder which will be overriden by DockerOperator
-CMD ["tail", "-f", "/dev/null"]
+# Cmd that will be overwritten by Airflow
+CMD ["sh", "-c","echo Container is ready for the Scheduler.exectue_function call."]

main.py

@@ -120,6 +120,6 @@ def test_file(settings):
     )
 
 
-if __name__ == "__main__":
-    Scheduler.execute_function("test_entrypoint")
-    Scheduler.execute_function("test_file")
+# if __name__ == "__main__":
+#    Scheduler.execute_function("test_entrypoint")
+#    Scheduler.execute_function("test_file")

requirements.txt

@@ -0,0 +1 @@
+scystream-sdk==1.0