@Marvin when deploying a flow in python like

Flow.from_source(
            source=gitlab_repo, entrypoint="myrepo/run.py:run"
        ).deploy(
            name=f"gmk-{pool_name}",
            work_pool_name=pool_name,
            job_variables={"env": env_vars},
            parameters=parameters,
            schedules=[
                IntervalSchedule(
                    interval=datetime.timedelta(minutes=10),
                )
            ],
        )

is there a way i can add the pip install requirements step (that i would add using

prefect.projects.steps.pip_install_requirements

when using a yaml file)

In Prefect 3.x, which it seems you're using, the concept of adding a pip install requirements step directly via Python code isn't explicitly documented in the same way as using the

prefect.projects.steps.pip_install_requirements

in YAML. However, you can achieve similar functionality by using a custom step in Python, as indicated in the Prefect documentation. This involves using a utility step like

run_shell_script

which allows you to execute shell commands like

pip install -r requirements.txt

from within your deployment script. Here's a brief outline of how you might do it: 1. Clone or pull your repository code as needed. 2. Use the

run_shell_script

step to run

pip install -r requirements.txt

in the correct directory. This method is essentially a workaround to replicate the YAML step behavior using Python. You can check more about the deployment steps and utility functions in Prefect's documentation here: Prefect Deployment via Python. And for more about utility steps like

run_shell_script

, you can take a look here: Utility Steps. I hope that helps! And remember, if you're not feeling like a genius today, even Marvin needed a day off now and then.