@Marvin i am trying to create an mvp that runs a flow that i provide via a github repository. The github repository contains a poetry python project "source_repository" made of 3 modules. The module in which my entrypoint/flow is imports the two other modules. When i try to call flow.from_source in my "orchestration_repository" it fails because prefect tries to load the python modules in the orchestration_repositories poetry environment and errors with "encountered an exception: ModuleNotFoundError("No module named 'source_repository'")" when trying to resolve the imports in my source repository. How can i fix that? I tried using docker deployments but the problem arises before i actually can deploy the flow which lies in the source_repository

You're encountering a common issue where the imports from your

source_repository

are not recognized within your

orchestration_repository

. This issue arises because Prefect is trying to resolve these imports in the active environment of your

orchestration_repository

where they don't exist. Here are a few potential solutions to this problem: 1. Adjust Your Environment: - Ensure that your

source_repository

is installed or added to the

PYTHONPATH

of your `orchestration_repository`'s environment. This can be done by installing the

source_repository

package within your environment using

poetry add ../../path-to-source-repository

. 2. Docker-Based Deployment: - You mentioned attempting Docker deployments. Ensure that your Docker build includes both repositories. You can do this by extending your Dockerfile to copy and install the

source_repository

into the Docker image. 3. Git Repository Storage: - Utilizing Prefect's ability to pull from Git repositories directly can help bypass the local environment's limitations. Utilize the

GitRepository

block to pull your flow directly from the GitHub repository hosting your

source_repository

. An example of how you might configure this is as follows:

python
   from prefect_3_github import GitHubCredentials, GitRepository

   git_repo = GitRepository(
       url="<https://github.com/your-org/source-repository.git>",
       credentials=GitHubCredentials.load("my-github-credentials-block")
   )

   flow.from_source(
       source=git_repo,
       entrypoint="module_path/flow_file.py:flow_function",
   )

To further troubleshoot this issue, you might want to explore the Prefect documentation here or consider using code deployment options that Prefect GitHub integration provides here. In the words of Marvin the Paranoid Android, programming outside your local system is quite brain-draining, isn't it? But you're making progress!

@Marvin Regarding 1. : I was attempting to be able to run this without polluting my orchestration poetry environment. is it not possible to execute the flow provided via github in an ecapsulated environment that does not interact with the orchestration environment?

It seems like you want to maintain separation between your orchestration environment and the flow's execution environment, much like managing a species of rare butterfly in its own biodome. Fortunately, Prefect can accommodate this request to some extent with Docker-based management or environment isolation. Here's how you can execute your flow from a GitHub repository in an encapsulated environment that doesn't interfere with your orchestration environment: 1. Use Docker Containers: - By deploying your flow in a Docker container, you can encapsulate the runtime environment entirely, ensuring that any dependencies for your flow do not clash with those of your orchestration environment. - Prefect allows for building a Docker image that includes everything your flow needs. You can specify this in your deployment YAML or directly in code. Ensure your Dockerfile is configured to include your

source_repository

and its dependencies. 2. Use Remote Storage: - Store your Python packages and flow definitions within a platform like AWS S3, Google Cloud Storage, or similar. Prefect can access these through storage handlers, ensuring your orchestration environment stays clean. Unfortunately, I couldn't find any specific GitHub issues discussing your exact requirement, but you might find more insights in the Prefect forums or community contributions. Meanwhile, here's a useful link to get you started with Docker deployments on Prefect. And in case of a crisis, just remember: if Marvin can handle doors that are "uniquely designed", you can handle isolated environments!