Madushan Pathirana
07/17/2025, 12:07 PMMarvin
07/17/2025, 12:07 PMMarvin
07/17/2025, 12:08 PMprefect-docker
package is not installed in your container. You need to add this to your Dockerfile:
dockerfile
RUN pip install prefect-docker
2. Docker Socket Permissions: Although you've mounted the Docker socket (/var/run/docker.sock
), the container user might not have the proper permissions to access it. The user running the Prefect worker needs to be in the docker
group.
3. Network Configuration: When using a Docker worker, the worker needs to be able to create new containers that can communicate with both the Prefect server and any external services. Your current network setup might need adjustment.
Here's what you need to modify:
1. Update your Dockerfile.prefect to include:
dockerfile
# Install prefect-docker
RUN pip install prefect-docker
# Add docker group and add user to it (assuming you're using root)
RUN groupadd docker || true && usermod -aG docker root
2. Modify your docker-compose.yml for the worker service:
yaml
prefect-worker:
# ... other configurations ...
environment:
- PREFECT_API_URL=<http://prefect:4200/api>
# Add these for Docker worker logging
- PREFECT_LOGGING_LEVEL=DEBUG
- DOCKER_HOST=unix:///var/run/docker.sock
volumes:
- prefect_data:/root/.prefect
- ./deploy:/root/deploy
- /var/run/docker.sock:/var/run/docker.sock
- ./data:/opt/prefect/data/
privileged: true # This might be needed for Docker-in-Docker
3. Make sure your work pool is configured correctly for Docker:
bash
prefect work-pool create my-pool --type docker
To help debug the issue, you can:
1. Check the worker logs:
bash
docker-compose logs prefect-worker
2. Verify the Docker socket is accessible inside the worker container:
bash
docker-compose exec prefect-worker docker ps
3. Ensure the work pool is properly configured for Docker:
bash
docker-compose exec prefect-worker prefect work-pool inspect my-pool
If you're still experiencing issues, it would be helpful to:
1. Share any error messages you're seeing in the logs
2. Confirm if you have prefect-docker
installed in your container
3. Share the contents of your Dockerfile.prefect
Remember that when using a Docker worker, each flow run will create a new Docker container, so your infrastructure needs to be properly configured to handle this nested containerization (Docker-in-Docker) scenario.Madushan Pathirana
07/17/2025, 12:56 PMMarvin
07/17/2025, 12:57 PMMadushan Pathirana
07/17/2025, 12:57 PMMarvin
07/17/2025, 12:57 PMMarvin
07/17/2025, 12:57 PMbash
docker-compose logs prefect-worker
Once you share the logs, I can help identify the specific issue and provide a targeted solution. The logs will help us understand:
- Whether it's a permissions issue
- If there's a package missing
- If there's a network configuration problem
- Or if there's some other underlying issue
Please share the relevant logs and I'll help diagnose the problem.Madushan Pathirana
07/17/2025, 12:58 PMMarvin
07/17/2025, 12:58 PMMadushan Pathirana
07/17/2025, 12:59 PMMarvin
07/17/2025, 12:59 PMMarvin
07/17/2025, 12:59 PMdockerfile
# Add to your Dockerfile.prefect
RUN pip install prefect-docker
2. The network configuration needs adjustment. In your docker-compose.yml, modify the worker service:
yaml
prefect-worker:
build:
context: .
dockerfile: Dockerfile.prefect
environment:
- PREFECT_API_URL=<http://prefect:4200/api>
# Add these for better debugging
- PREFECT_LOGGING_LEVEL=DEBUG
- DOCKER_HOST=unix:///var/run/docker.sock
# Add this to ensure the worker can reach the Prefect server
- PREFECT_SERVER_API_HOST=prefect
volumes:
- prefect_data:/root/.prefect
- ./deploy:/root/deploy
- /var/run/docker.sock:/var/run/docker.sock
- ./data:/opt/prefect/data/
# Add these for Docker-in-Docker functionality
privileged: true
networks:
- prefect-net
3. Ensure your work pool is configured correctly for Docker:
bash
# First, check the current work pool configuration
docker-compose exec prefect-worker prefect work-pool inspect my-pool
# If needed, create a new Docker work pool
docker-compose exec prefect-worker prefect work-pool create my-pool --type docker
4. Modify your deployment code to ensure it's compatible with Docker execution:
python
from prefect import flow
from prefect.runner.storage import GitRepository
from prefect.blocks.system import Secret
if __name__ == "__main__":
api_base = "<https://dev.to/api>"
pages = 3
per_page = 30
output_file = Path("/root/data/devto_articles.csv")
parameters_dict = {
'api_base': api_base,
'pages': pages,
'per_page': per_page,
'output_file': output_file
}
github_repo = GitRepository(
url="<https://bitbucket.org/xx/dbt_duck_etl.git>",
credentials={
"access_token": Secret.load("bb-token")
},
branch='dev'
)
# Add Docker-specific configuration
flow.from_source(
source=github_repo,
entrypoint="src/flows/Amazon/etl.py:main"
).deploy(
name="Amazon-bb-02",
work_pool_name="my-pool",
parameters=parameters_dict,
)
5. Restart your services in the correct order:
bash
# Stop all services
docker-compose down
# Remove any stale volumes (optional, if you want a clean start)
docker-compose down -v
# Start the services
docker-compose up -d prefect
# Wait a moment for the server to be healthy
docker-compose up -d prefect-worker
6. Monitor the logs for both services:
bash
# Watch the server logs
docker-compose logs -f prefect
# In another terminal, watch the worker logs
docker-compose logs -f prefect-worker
The 503 error you're seeing typically indicates that the worker is having trouble maintaining a connection to the Prefect server. This could be due to:
1. Network connectivity issues between containers
2. The Prefect server not being fully ready when the worker tries to connect
3. Docker socket permissions issues
To help debug further:
1. Verify the Docker socket permissions:
bash
docker-compose exec prefect-worker ls -l /var/run/docker.sock
2. Test the connection from the worker to the server:
bash
docker-compose exec prefect-worker curl <http://prefect:4200/api/health>
3. Check if Docker commands work within the worker container:
bash
docker-compose exec prefect-worker docker ps
If you're still seeing issues after implementing these changes, please share:
1. The updated logs after making these changes
2. The output of the debug commands above
3. The contents of your Dockerfile.prefect