@Marvin I have a problem with deployments. I have made some changes regarding documentation like this:

suggest_privilege_tags.from_source(
    source=storage,
    entrypoint=entry_point,
).deploy(
    name="on-demand",
    work_pool_name="default",
    job_variables={"env": {"EXTRA_PIP_PACKAGES": "prefect-aws"}},
    infrastructure=infrastructure,
)

but I am getting an error :

'S3Bucket' object has no attribute 'set_base_path'

It seems like you are facing an issue related to Prefect and its storage capabilities, specifically with the

S3Bucket

object. The error message

'S3Bucket' object has no attribute 'set_base_path'

suggests that there's a missing attribute in the

S3Bucket

object, likely due to a version mismatch or a misunderstanding of the object's capabilities. Since the behavior of Prefect can vary significantly between versions, it's important to determine whether this issue is associated with Prefect version 2.x or 3.x. Let's search both the Prefect 2.x and 3.x documentation and relevant GitHub issues to see if we can identify the problem and find a solution. I'll look for "S3Bucket set_base_path" and similar queries in the documentation. Let's proceed with that now. It seems I made an error by not providing specific queries to search the documentation. Let's try that again with appropriate search terms related to your issue with the

S3Bucket

object and the

set_base_path

attribute. I'll search both documentation versions. Let's do that now. It appears that the issue might be related to the way Prefect handles storage with S3 buckets in different versions. The

S3Bucket

object indeed seems to have some attributes and methods related to path management and deployments, but there is no mention of a

set_base_path

attribute in the documentation for either Prefect 2.x or 3.x. Here's a summary of what I found: 1. Base Path Management: Both Prefect 2.x and 3.x documentation mention base path management for S3 buckets, but it doesn't specifically list a method called

set_base_path

. It might be that accessing or managing the base path requires a different approach or that the method name has change between versions. - Reference for Prefect 2.x: Prefect 2.x Integration with S3 - Reference for Prefect 3.x: Prefect 3.x Block Development 2. Entrypoint in Deployments: The use of entry points in deployments requires a specific path-to-object syntax (e.g.,

path/to/file.py:function_name

). This might also influence how entry points are specified for deployments with storage options. - Reference for Prefect 2.x: Prefect 2.x Entrypoints in Deployments - Reference for Prefect 3.x: Prefect 3.x Entrypoint in Deployments Based on these details, you might need to verify that you're using the correct methods and properties for your specific Prefect version regarding how

S3Bucket

is configured and how deployments are set up. If you're using custom modifications or older versions, ensure that the method signatures and configurations you're attempting to use are compatible with your version. If the problem persists, consider checking for any recent updates or breaking changes in Prefect's release notes, as there may have been changes post-documentation that affect your usage.

this is the source : storage = S3Bucket.load("flow-code")