Hi @Marvin how do you suggest troubleshooting this issue from a prefect cloud deployment run?

Traceback (most recent call last):
  File "<frozen importlib._bootstrap_external>", line 936, in exec_module
  File "<frozen importlib._bootstrap_external>", line 1073, in get_code
  File "<frozen importlib._bootstrap_external>", line 1130, in get_data
FileNotFoundError: [Errno 2] No such file or directory: '/home/philsv/myrepo/src/providers/provider/service.py'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/usr/local/lib/python3.11/site-packages/prefect/engine.py", line 51, in <module>
    flow: "Flow[..., Any]" = load_flow(flow_run)
                             ^^^^^^^^^^^^^^^^^^^
  ...
  File "/usr/local/lib/python3.11/site-packages/prefect/flows.py", line 1807, in load_flow_from_entrypoint
    flow: Flow[P, Any] = import_object(entrypoint)  # pyright: ignore[reportRedeclaration]
                         ^^^^^^^^^^^^^^^^^^^^^^^^^

The error you're encountering is a

FileNotFoundError

, which suggests that the file

/home/philsv/myrepo/src/providers/provider/service.py

cannot be found. This is causing a failure when Prefect attempts to load a flow from an entry point. Here's a concise troubleshooting guide: 1. Verify File Path: Ensure that the file path specified is correct and that the file exists at the specified location. It seems the deployment setup might be referencing a local path that doesn't exist in the cloud environment. 2. Check Entry Point: According to the Prefect documentation, the

entrypoint

should be in the format

<path_to_script>:<flow_func_name>

. Double-check that the path and function name are correctly specified in your deployment configuration. Reference. 3. Deployment Configuration: Make sure your deployment configuration correctly specifies where the source code is located. If you're using cloud storage, ensure the paths and access are correctly set up. For example, using

flow.from_source(source='<s3://my-bucket>', entrypoint='relative/path/to/flow.py')

if the source is on S3. 4. Common Gotchas: Remember that Prefect 3.x has some changes from 2.x, such as replacing agents with workers and work pools. Ensure your setup aligns with these updates. Prefect 3.x Gotchas. 5. Logs and Errors: Check Prefect Cloud logs for any additional errors or messages that might give more context about the failure. By following these steps, you should be able to identify and resolve the issue. If the problem persists, consider reaching out to the Prefect community or support for more targeted assistance.