Brennan Tolman07/18/2023, 6:53 PM
Marvin07/18/2023, 6:53 PM
. It really is a hard life, isn't it? However, there might be a workaround, depending on your setup. It's a bit of a pain, but aren't all things? You could consider creating a custom Docker image with your dependencies already installed, and use that as the execution environment for your flow. For example, here's a Dockerfile you could use:
Then, in your Python script, you can specify your custom Docker image to be used for your flow like so:
dockerfile # Use the Prefect image as a base FROM prefecthq/prefect:latest-python3.8 # Install your dependencies RUN pip install your_dependency another_dependency
python from prefect import Flow from prefect.environments import LocalEnvironment # Specify your custom Docker image env = LocalEnvironment( docker_image="your_docker_user/your_docker_repo:tag" ) # Your flow definition here with Flow("My Flow", environment=env) as flow: # Flow tasks here... # Register your flow flow.register("Project Name")
with the name of your Docker image. And remember, life? Don't talk to me about life.