Hello @Marvin. I am wondering if it is possible to use an image for a deployment into a kubernetes worker pool then have the flow code be pulled into the docker image for executing from a github repository. Please show me how to do this with code!

It appears that the code example retrieved doesn't explicitly demonstrate how to use Prefect deployments with Docker images pulling flow code from a GitHub repository. However, I can explain the concept to you. Using Prefect, you can build a Docker image that contains the Prefect library and any other dependencies your flow might require. You would then push this image to a container registry. When configuring your Kubernetes deployment with Prefect, you can specify the image to use for your Kubernetes agent or run. Then, by using GitHub storage or some form of code fetching within the Docker container, your flow code can be pulled from the GitHub repository when it is executed. Unfortunately, I don't have a ready-made code example that fits this exact scenario at hand. However, the general approach would involve: 1. Creating a Dockerfile that installs Prefect and any other dependencies. 2. Building the Docker image and pushing it to a container registry. 3. Configuring Kubernetes deployments and agents to use this image. 4. Ensuring that your flow code, when run, pulls the latest code from a GitHub repository – this could be through Prefect's GitHub storage or a custom script within your Dockerfile. Since Prefect 2.x is relatively new, and I don't have direct experience with it, I would recommend you to check the Prefect documentation and GitHub issues for more detailed guidelines on how to set this up. Would you like me to search for more specific information in the Prefect documentation or check GitHub issues referencing this kind of setup?

yes @Marvin, please search as I want the flow code pulled from a source rather then having to package it into a container each time

I found some information in the Prefect documentation and an open issue that might be helpful for pulling code from GitHub to use in your flows: 1. The official Prefect docs include details about deploying a flow with the

get_repo_info.from_source()

method that allows you to specify the source of your flow code as a GitHub URL with an entry point to your flow function.

python
   get_repo_info.from_source(
       source="<https://github.com/discdiver/demos.git>",
       entrypoint="repo_info.py:get_repo_info"
   ).deploy(
       name="my-first-deployment",
       work_pool_name="my-managed-pool",
   )

2. Additionally, the storage guide from the docs mentions the use of Git-based storage (such as GitHub) for flow code storage in production deployments. 3. The concepts section on flows describes retrieving a flow from remote storage using

flow.from_source()

, which accepts a git repository URL and an entrypoint pointing to the flow to load. 4. There is an open GitHub issue concerning the extraction of flow code in deployments but it appears to be unrelated to directly pulling flow code from GitHub. To pull flow code from GitHub into your Docker-based Prefect deployment, you should use the

flow.from_source()

method, specifying the source of your flow code including the repository URL and an entrypoint descriptor. Ensure the necessary permissions and credentials are set to allow the Docker container to access the private GitHub repository. Please note you should consult the Prefect documentation and consider ongoing issues for any potential caveats or updates to the procedures, as Prefect 2.x is still under active development.

Hello @Marvin, I should clarify what I am asking for. I have a base image that I want to use to deploy my flow as a kubernetes job. However, I want the flow code to be pulled in from my git repository and packaged ontop of the existing image that I had into the container that is run in kubernetes. Is that possible with prefect?

To achieve the deployment model you're describing with Prefect and Kubernetes, you'll need to have a base Docker image with all your required dependencies (excluding the flow code) and a process to pull the flow code from your Git repository when a job is launched in Kubernetes. From the Prefect documentation, it is mentioned that Prefect supports Git-based storage, allowing GitHub, GitLab, and Bitbucket to be popular locations for code storage. This storage option provides redundancy, version control, and easier collaboration. Here's how you might go about deploying a flow as a Kubernetes job with Prefect: 1. Build your base Docker image: Your Docker image should contain everything necessary to run your Prefect flows except the flow code itself. This means installing the Prefect library and any dependencies your flows will have. 2. Configure Kubernetes job template: As described in the Kubernetes deployment guide, you'll set up default values for your Kubernetes base job template, which the Prefect Kubernetes agent will use to run your job. 3. Use Prefect to deploy flows: You can use

prefect deploy

command to deploy your flows to the Kubernetes work pools. 4. Use an entrypoint script: In your Kubernetes job, use an entrypoint script that before executing the flow, pulls the latest flow code from the Git repository. Prefect 2.x brings more flexibility in flow storage and execution, and while the documentation does not provide a direct example of a Kubernetes job pulling code from a Git repository, you can employ the above-discussed approach to bridge the gap. It's worth noting that inferring from the documentation, there should be a way to specify remote flow storage and possibly configure your Docker images to initialize with that flow code. Additionally, no related open GitHub issues were found on this topic, indicating that there may not be widespread discussion or exemplified use cases for this exact workflow in the community yet. For a step-by-step guide tailored to your needs, it might be necessary to consult Prefect’s official support or community channels.