@Marvin I run flows with docker. I created 2 docker images for 2 workflows. I was able to push one deployment, but there's a deployment that has pending run and it got stuck at "Downloading flow code from storage at '.' . Context: This process download csv file from API to local folder A then open csv file, transform the file, then move csv file from folder A to folder Archive. How do I go about inspecting and troubleshooting this?

Let me gather some information to help troubleshoot your situation. I'll look for relevant details in the Prefect documentation about monitoring and debugging deployments, especially related to

docker

and flow runtime issues. Give me a moment. One potential issue is with the way the flow code is being accessed in your Docker container. There appears to be a problem where the flow code is not found at the expected location, causing the flow run to fail and get stuck at "Downloading flow code from storage." Here are some steps to troubleshoot this issue: 1. Check Flow Code Path: Ensure that the path specified for the flow code in your Docker image is correct. The error log indicates the file

/opt/prefect/flow_file.py

is not found. - Verify that the Dockerfile correctly copies the flow file to the specified path. - Ensure that the

entrypoint

in the deployment matches this path. 2. Verify Storage Location: If using Prefect's storage options, ensure that the storage location is correctly set up. The error suggests that the flow is being downloaded from the current directory (

'.'

). 3. Dockerfile and Deployment Configuration: - Ensure the Dockerfile includes all necessary dependencies and copies the flow file to the correct location. - Example Dockerfile:

dockerfile
     FROM python:3.8-slim
     COPY requirements.txt .
     RUN pip install -r requirements.txt --trusted-host <http://pypi.python.org|pypi.python.org> --no-cache-dir
     COPY flow_file.py /opt/prefect/flow_file.py
     WORKDIR /opt/prefect

- Example deployment configuration:

python
     from prefect.deployments import Deployment
     from prefect.infrastructure import KubernetesJob
     from flow_file import hello_world

     path = "."
     entrypoint = f'/opt/prefect/flow_file.py:{hello_world.fn.__name__}'
     work_pool_name = "Thomas Laptop"

     job = KubernetesJob(image="your-docker-image")

     deploy = Deployment.build_from_flow(
         hello_world,
         name="your_deployment",
         work_pool_name=work_pool_name,
         entrypoint=entrypoint,
         path=path,
         skip_upload=True,
         infrastructure=job
     )

     if __name__ == "__main__":
         deploy.apply()

4. Inspect Docker Logs: Check the logs of the Docker container where the flow run is executing. This might give more context about why the flow code is not being found. 5. Rebuild and Retag Docker Image: Ensure that the latest changes are included in your Docker image by rebuilding and retagging it. If you continue to encounter issues, consider opening a detailed issue on GitHub or seeking help on Prefect's community forums here. You can find a related GitHub issue with similar symptoms here. Please let me know if there's anything else you'd like to check.

storage path is correctly defined: WORKDIR /opt/prefect. can i change this? @Marvin

Yes, you can certainly change your working directory or the path where the flow code is stored within your Docker container. Here’s how you can customize this: 1. Modify Dockerfile: Change the WORKDIR and the path where your flow file is copied. For example:

dockerfile
   FROM python:3.8-slim
   COPY requirements.txt .
   RUN pip install -r requirements.txt --trusted-host <http://pypi.python.org|pypi.python.org> --no-cache-dir
   COPY flow_file.py /new/path/flow_file.py
   WORKDIR /new/path

2. Update Deployment Configuration: Ensure that the new path is correctly referenced in your deployment configuration. For example:

python
   from prefect.deployments import Deployment
   from prefect.infrastructure import DockerContainer
   from flow_file import hello_world  # Ensure this path matches the new structure

   path = "."
   entrypoint = f'/new/path/flow_file.py:{hello_world.fn.__name__}'
   work_pool_name = "YourWorkPoolName"

   docker_container = DockerContainer(image="your-docker-image")

   deploy = Deployment.build_from_flow(
       hello_world,
       name="your_deployment",
       work_pool_name=work_pool_name,
       entrypoint=entrypoint,
       path=path,
       skip_upload=True,
       infrastructure=docker_container
   )

   if __name__ == "__main__":
       deploy.apply()

Here's a fuller example including both parts: ### Modified Dockerfile:

dockerfile
FROM python:3.8-slim
COPY requirements.txt .
RUN pip install -r requirements.txt --trusted-host <http://pypi.python.org|pypi.python.org> --no-cache-dir
COPY flow_file.py /new/path/flow_file.py
WORKDIR /new/path

### Deployment Script (

deploy.py

):

python
from prefect.deployments import Deployment
from prefect.infrastructure import DockerContainer
from flow_file import hello_world  # Ensure this path matches the new structure

path = "."  # Define the local path for Prefect storage, but ensure it aligns with container paths
entrypoint = f'/new/path/flow_file.py:{hello_world.fn.__name__}'
work_pool_name = "YourWorkPoolName"

docker_container = DockerContainer(image="your-docker-image")

deploy = Deployment.build_from_flow(
    hello_world,
    name="your_deployment",
    work_pool_name=work_pool_name,
    entrypoint=entrypoint,
    path=path,
    skip_upload=True,
    infrastructure=docker_container
)

if __name__ == "__main__":
    deploy.apply()

### Additional Debugging Steps: 1. Rebuild and Tag Docker Image: After modifying the Dockerfile, rebuild and tag your Docker image:

sh
   docker build -t your-docker-image .

2. Deploy and Run Deployment: Apply your deployment script to update the Prefect deployment:

sh
   python deploy.py
   #
   # Then run the flow using Prefect's CLI or UI
   # prefect deployment run your_deployment

By changing these paths, you ensure that Prefect knows where to find your flow code during execution. Make sure the entries (

COPY

,

WORKDIR

, and

entrypoint

) in the Dockerfile and deployment script align with your desired directory structure. If you encounter further issues, please inspect the Docker container logs, Prefect worker logs, and Prefect UI for additional clues.