@Marvin can you provide an example of how to run flows from a github repo?

Certainly! Here's a very basic example of how you can define and run a flow from a GitHub repository. Please be aware that this is a simplified example and more steps may be required depending on your specific use case.

python
from prefect import flow

@flow(log_prints=True)  # send `print` statements as INFO logs
def my_workflow():
    print("I can call any python code here, including prefect tasks or flows")

if __name__ == "__main__":
    my_workflow()  # call it like a normal python function

    # or serve it as a long-lived process
    # my_workflow.serve("my-deployment-name")

This example defines a flow

my_workflow

and runs it as a normal Python function. To run this from a GitHub repository, you would typically clone the repository locally or set up a CI/CD pipeline that triggers the execution whenever code is pushed to the repository. For more comprehensive examples and to explore different use cases, you may want to look at Prefect's documentation or search for specific flow configuration examples on GitHub repositories. You can view the full example in the GitHub repository it was sourced from. Keep in mind that in a production environment, it's common to use Prefect's infrastructure to run flows. This often involves registering flows with the Prefect server or cloud, and using Prefect deployments to trigger flow runs.

how to run flows from a github repo?

@Marvin generally in prefect there 2 ways to do this •

from_source

: when using workers and

.deploy()

• `git_clone`: as a

pull

step when using workers and

prefect.yaml

think step by step, do some research and provide a link-dense, concise example

To run flows from a GitHub repository in Prefect, you can use the

from_source

method during deployment or the

git_clone

step within the

prefect.yaml

file. Here's a brief overview of each method: ### Using

from_source

with

.deploy()

You can retrieve a flow from remote storage using the

flow.from_source

method. It accepts a Git repository URL and an entrypoint pointing to the flow to load from the repository.

python
from prefect import flow

my_flow = flow.from_source(
    source="<https://github.com/PrefectHQ/prefect.git>",
    entrypoint="flows/hello_world.py:hello"
)

if __name__ == "__main__":
    my_flow()

You can then deploy this flow using Prefect's deployment functionality. An example of deploying a single flow might resemble the following:

python
from prefect import flow, serve

@flow
def my_flow_function():
    # Flow definition here ...

my_deploy = my_flow_function.to_deployment(name="my-deployment-name")
serve(my_deploy)

More detailed instructions can be found in the Prefect documentation on flows. ### Using

git_clone

in

prefect.yaml

The

prefect.yaml

file's

pull

section contains instructions for preparing your flows for a deployment run, which will be executed each time a deployment created within this folder is run via a worker. One of the main types of steps you can include in this section is

git_clone

, which clones the provided repository on the provided branch:

yaml
pull:
  - set_working_directory: .
  - git_clone:
      repo: <https://github.com/my-org/my-repo.git>
      branch: main

Refer to the Prefect Deployment guide for more details on configuring your deployments with

prefect.yaml

. Remember, if you're pulling from a private repository, you'll need to handle authentication appropriately, typically through SSH keys or personal access tokens. Here's a basic flow example as a reference point for creating flows. However, this example doesn't include Github repository details. Both methods involve setting up a Prefect environment and require a working knowledge of Prefect's flow deployment process for full integration with GitHub repositories. Please consult the provided links for a deeper understanding and a step-by-step guide to implementing these methods.