@Marvin when I add job variables on the prefect cloud UI and add extra pip packages my flow works but when I try to configure it on my yaml it does not?

It sounds like you're experiencing a discrepancy between configuring your Prefect cloud environment through the UI and using a YAML configuration file. The issue likely relates to how the YAML file is structured or interpreted by Prefect. To assist you better, could you confirm which version of Prefect you are using? Prefect 2.x and 3.x have different configurations, and this will help me provide the most accurate guidance. If you're unsure, you can try to check your environment or provide any details you might have.

@Marvin Prefect 3.x

Based on your explanation, it's likely that there's a discrepancy in how your YAML file is structured or interpreted. Let's go over some general guidance on configuring your YAML file for Prefect 3.x, covering job variables and pip package installation: 1. Job Variables: In your

prefect.yaml

, you can define job variables under the

job_variables

section. Here's an example:

yaml
   deployments:
     - name: your-deployment-name
       entrypoint: your_flow.py:your_function
       work_pool:
         name: local
       job_variables:
         env:
           SOME_VARIABLE: value
           ANOTHER_VARIABLE: another_value
       schedule: null

If you're not seeing the expected behavior, make sure that your environment variables are correctly specified and that you're running the deployment with

prefect deploy -n your-deployment-name

. 2. Adding Extra Pip Packages: Use the

pip_install_requirements

step if you need to install additional pip packages from a

requirements.txt

file. Here's an example structure:

yaml
   pull:
     - prefect.deployments.steps.git_clone:
         id: clone-step
         repository: <https://github.com/your-repo.git>
     - prefect.deployments.steps.pip_install_requirements:
         directory: {{ clone-step.directory }}
         requirements_file: requirements.txt

Ensure that your

requirements.txt

is present in the correct directory. 3. Error Checking: - Check YAML Syntax: Make sure there are no syntax errors in your YAML file. YAML is whitespace-sensitive—incorrect indentation can lead to unexpected behavior. - Reference Other Sources: For more examples and detailed explanations, you can refer to the Prefect 3.x documentation, particularly on customizing your deployment configuration: Prefect YAML Configuration. 4. Common Issues: If you're encountering an issue that's tough to diagnose, it might be helpful to look at similar community-reported issues in Prefect's GitHub repository. I found a couple of issue discussions that might provide context: - Example of Flow Logging Issue, which covers problems with logging configurations. - Kubernetes Job Issue Discussion, though not directly about YAML, may offer insight into potential unexpected behavior. If these pointers don't solve the issue, reviewing the documentation and ensuring your local setup aligns with it could help. Let me know if you need further assistance!