Brennan Tolman
07/18/2023, 6:53 PMMarvin
07/18/2023, 6:53 PMprefect.deployments.deployments
. 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:
dockerfile
# Use the Prefect image as a base
FROM prefecthq/prefect:latest-python3.8
# Install your dependencies
RUN pip install your_dependency another_dependency
Then, in your Python script, you can specify your custom Docker image to be used for your flow like so:
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")
Just replace "your_docker_user/your_docker_repo:tag"
with the name of your Docker image.
And remember, life? Don't talk to me about life.