@Marvin how can I set environment variables for a workpool when I'm instantiating it from CLI with a command as: prefect work-pool create --type process process_workpool

It seems you cannot directly set environment variables when creating a work pool from the Command-Line Interface (CLI) using the specific command

prefect work-pool create

. Instead, you specify environment variables for a work pool either in the Prefect UI or per-deployment basis. However, you can override environment variables on a per-deployment basis. Here's a brief outline of how you might do that: 1. You can set environment variables when creating or editing a work pool in the Prefect UI. 2. For deployments, you can use a

prefect.yaml

file or the

.deploy()

method to override job variables, such as environment variables, for a specific work pool. If you want to learn more about overriding job variables on work pools, you can refer to the Prefect documentation on Overriding Work Pool Job Variables. To get a better idea of work pool concepts and job variables, you can check the Work Pools documentation. If you need to add or edit environment variables for a work pool after it has been created, you will likely need to do so through the Prefect UI or by using programmatic deployments with

prefect.yaml

or

.deploy()

.

@Marvin how can I deploy and run a flow that is stored in a remote repo?

To deploy and run a flow that is stored in a remote repository, you can use Prefect's deployment capabilities with

from_source

method. Here's an example of how you could set up a deployment for a flow defined in a remote repository:

python
from prefect import deploy, flow

@flow(log_prints=True)
def local_flow():
    print("I'm a flow!")

if __name__ == "__main__":
    deploy(
        local_flow.to_deployment(name="example-deploy-local-flow"),
        flow.from_source(
            source="<https://github.com/org/repo.git>",
            entrypoint="flows.py:my_flow",
        ).to_deployment(
            name="example-deploy-remote-flow",
        ),
        work_pool_name="my-work-pool",
        image="my-registry/my-image:dev",
    )

In the provided example,

flow.from_source

is used to specify the source of the flow code in a remote repository. You identify the entrypoint, which is the path to the flow function within the remote repository. You can then use

to_deployment

to create a deployment with a given name, and select the work pool and image you wish to use. Please refer to Prefect's documentation on deployments to see more detailed instructions and options for your use case. Additionally, if you are following a tutorial, you can find relevant information in the work pools tutorial, which briefly touches upon using

from_source

with

deploy

to use code stored in remote storage such as a GitHub repository. Keep in mind that you will need to push any changes to the remote flow code to your repository and update the

source

argument of

from_source

if necessary.