@Marvin I don't know how to push my flow to s3 using the python flow.deploy when deploying after upgrading to 3.x

You are unsure how to push your Prefect flow to S3 using

flow.deploy

after upgrading to Prefect 3.x. Got it! I'll check the Prefect 3.x docs for information on deploying flows to S3. Let's see what we find. Alright! Here's a summary of the necessary steps to deploy a flow to S3 using Prefect 3.x: 1. Import Necessary Modules: Import the relevant modules to handle S3 and deployment. 2. Configure Flow Source: Use the

from_source

method to specify that the flow code should be pulled from S3. 3. Deploy the Flow: Call the

deploy

method on the flow, including the work pool name and other parameters. Here's a basic example:

python
from prefect import flow
from prefect.storage import S3Bucket

@flow
def my_flow():
    print("Hello, world!")

if __name__ == "__main__":
    flow.from_source(
        source=S3Bucket.load("my-code-storage"),
        entrypoint="my_file.py:my_flow"
    ).deploy(name="test-s3", work_pool_name="my-docker-pool")

The

S3Bucket.load("my-code-storage")

is used to indicate the source storage with the correct configuration. Make sure you have configured your S3 bucket correctly in your Prefect account. For detailed information, refer to the Prefect 3.x documentation on these concepts: - Deployment mechanics: Deployment with Docker - Storing flow code: Code Storage - Prefect YAML: Prefect YAML Feel free to tweak the example to fit your actual flow and S3 configurations!