Hello @Marvin, I have tried basic auth in prefect 3.1.11, like:

PREFECT_SERVER_API_AUTH_STRING="admin:admin" prefect server start

but it does not work. • Any password i use prefect logged me in. • Even if I inserted the right password, I cannot see any of my flows, runs, work-pools... etc did i miss something?

It seems you're not alone in facing issues with basic authentication in Prefect 3.x. Here's what I've gathered: 1. Basic Authentication Issue: There is a known issue where basic authentication in Prefect doesn't function as expected. Users have reported that the "Sign in" form allows access without proper credential validation, and the dashboard shows empty panels or fails to display any flows, runs, or work pools. This was noted in Prefect versions around 3.1.9 and 3.1.10. You can track this issue here. 2. Authentication Troubleshooting: The Prefect documentation suggests ensuring you're on the latest version, as some issues may have been resolved in subsequent updates. If you're still facing issues, you might need to consider alternative authentication methods or reach out to Prefect support for more specific troubleshooting. More details on managing authentication can be found here. It seems the basic authentication mechanism might not be fully reliable in the version you're using, and you might want to explore using API keys or other authentication methods provided by Prefect. If the problem persists, consider upgrading to the latest version or checking the Prefect GitHub issues for any patches or workarounds.

@Marvin How to create a deployment for a flow that defined as a class instance method in prefect.yaml

To create a deployment for a flow defined as a class instance method in Prefect 3.x using a

prefect.yaml

file, you'll want to follow these general steps: 1. Define Your Flow: Ensure your class instance method is properly defined as a Prefect flow. This typically involves using the

@flow

decorator from Prefect. 2. Create a Prefect YAML File: This file can be named

prefect.yaml

or any other name with a

.yaml

extension. It doesn't have to be in the root directory, but it should be accessible when you run deployment commands. 3. Configure the YAML for Deployment: In your

prefect.yaml

, define the deployment configuration. This includes specifying the flow and any parameters or schedules you might need. Here's a basic structure:

yaml
   deployments:
     - name: my_deployment
       flow: my_module.MyClass.my_flow_method
       parameters:
         param1: value1
         param2: value2

4. Deploy Using CLI: Use the Prefect CLI to deploy your flow. You can specify the YAML file if it's not named

prefect.yaml

or not in the root directory:

bash
   prefect deploy --prefect-file path/to/your_prefect.yaml

5. Manage Your Deployment: You can manage your deployments through the Prefect UI or API, allowing you to trigger runs, manage schedules, and more. For more detailed guidance, you can refer to the Prefect documentation on deployments and YAML configuration. If you have specific questions about integrating this with your PyO3 setup or any other nuances, feel free to ask!