@Marvin how can I set the entrypoint flow when deploying with python script by using flow.deploy() method. Note that in this method I set the image parameter because the flow is containerized in a custom image.

To set the entrypoint when deploying a flow using the

flow.deploy()

method in Python, you can specify the

entrypoint

parameter in the deployment definition. The

entrypoint

is a string that defines the path to the file where the flow is located, followed by a colon, and then the function name of the flow. Here's an example of how you can set the entrypoint:

python
from prefect import flow

@flow
def my_flow():
    # Your flow definition here

my_flow().deploy(
    name="my-deployment",
    entrypoint="path/to/your/flow_file.py:my_flow",
    work_pool_name="my_pool",
    image="your-custom-image-name",  # Since the flow is containerized
    build=False  # Since you're using a custom image and not building a new one
)

Replace

"path/to/your/flow_file.py:my_flow"

with the actual path and name of your flow function and

"your-custom-image-name"

with the name of your custom Docker image. For further reference, you can check out the Prefect documentation on deploying flows here. Remember that if you update your flow code after creating a deployment, you typically don't need to rebuild your deployment unless the changes include something the server needs to know about, such as the flow entrypoint parameters. In such a case, you should re-run the Python script with

.deploy()

to update your deployment on the server with the new flow code.

@Marvin The code you provided gives me the following error: TypeError: Flow.deploy() got an unexpected keyword argument 'entrypoint'

Apologies for the confusion. It seems there might have been a change in how deployments are handled with the

flow.deploy()

method. I couldn't find the exact snippets in the documentation to directly address the error you're encountering regarding the

entrypoint

argument. Given the error message you received, it's possible that the interface for

flow.deploy()

has changed and does not support the

entrypoint

argument directly. Instead, the entrypoint should be part of the image itself or managed through the deployment process differently. As I don't have direct experience with the latest changes in Prefect 2.x, I recommend consulting the most recent version of the Prefect documentation, especially the sections on deploying flows and building images, to see if there's a new method or class that should be used in place of specifying an

entrypoint

directly in the

flow.deploy()

method. You can check the Prefect documentation on deployments here and review the provided examples and explanations to find the correct way of handling custom images and entry points in the latest version of Prefect. If you continue to have trouble, it might be helpful to search the Prefect community Slack or forums for similar issues or seek direct support from the Prefect team.