@Marvin How do I use result_storage for a flow prefect 3 with minio bucket?

To use result storage with a MinIO bucket in Prefect 3.x, you can leverage the

RemoteFileSystem

block to configure communication with your MinIO setup. Here's a general guide to achieving this: 1. Configure a MinIO Block: Create a

RemoteFileSystem

block that points to your MinIO bucket. You'll provide the credentials and endpoint configuration that Prefect needs to connect to your MinIO instance. 2. Assign the Block to Your Flow's Result Storage: Use the

result_storage

parameter in your flow's configuration to specify that results should be stored in the MinIO configuration you set up. You can do this by setting the block as the default storage for your flow or by specifying it directly in the flow definition. Below is a minimal example to illustrate these steps:

python
from prefect import flow
from prefect.filesystems import RemoteFileSystem

# Define the MinIO remote file system block
minio_block = RemoteFileSystem(
    basepath='<s3://your-bucket-name>',
    settings={
        'key': 'your-access-key',
        'secret': 'your-secret-key',
        'client_kwargs': {
            'endpoint_url': '<http://your-minio-endpoint:9000>',
        },
    }
)

# Save the block for reuse
minio_block.save('minio-block', overwrite=True)

@flow(result_storage='minio-block')
def my_flow():
    # Your flow logic here
    print("Flow is running")

# To run the flow
if __name__ == "__main__":
    my_flow()

### Key Points: - Credentials and Endpoint: Ensure you replace

'your-bucket-name'

,

'your-access-key'

,

'your-secret-key'

, and

'<http://your-minio-endpoint:9000>'

with your actual MinIO details. - Block Naming: The block is saved with a name (

'minio-block'

) that you can refer to when configuring result storage. - Result Storage: You specify the storage block in the

@flow

decorator using the

result_storage

argument. Be aware of known issues, such as potential limitations or bugs when accessing deployments or results configured with MinIO buckets. For example, saving deployments in certain folder structures in MinIO might present issues. Always test configurations in your specific setup. For more detailed documentation or troubleshooting, you can refer to the Prefect 3.x documentation and GitHub issues related to MinIO.

What if my block is already present? @Marvin

If your MinIO block is already present, you don't need to create it again. You can simply load the existing block by its saved name and use it to configure your flow's result storage. Here's how you can do it:

python
from prefect import flow
from prefect.filesystems import RemoteFileSystem

# Load the existing MinIO block
minio_block = RemoteFileSystem.load('minio-block')

@flow(result_storage='minio-block')
def my_flow():
    # Your flow logic here
    print("Flow is running")

# To run the flow
if __name__ == "__main__":
    my_flow()

### Key Points: - Block Loading: Use

RemoteFileSystem.load('minio-block')

to access the existing block. Ensure that 'minio-block' matches the name with which the block was originally saved. - Result Storage Configuration: The existing block can be directly referenced in the

@flow

decorator to specify where flow results should be stored. This approach leverages the configuration you have already set up, allowing you to reuse the existing settings without redefining them. If you encounter any issues with the block configuration or storage access, double-check your MinIO endpoint, access credentials, and block name.

This way it works locally, but when I try to deploy it it says prefect.exceptions.ScriptError Please call

.save()

on your block before passing it in. @Marvin

When you encounter the

ScriptError

with a message to call

.save()

on your block before passing it, it typically means that the block configuration hasn't been saved properly in the Prefect's block storage, or it was not recognized during deployment. This might happen if the block wasn't saved with the correct identifier or the deployment environment can't access the saved block. Here’s a straightforward way to resolve this: 1. Ensure the Block is Saved: Explicitly save your block configuration within your setup or initialization script to ensure it’s available to Prefect when you deploy it. 2. Verify Block Accessibility: Make sure that the environment where you're running the deployment can access Prefect's block storage to retrieve the saved configuration. Here’s how you might save and confirm the block setup: 1. Save the Block: Ensure you save the block correctly in your local environment first. This must be executed before the deployment.

python
from prefect.filesystems import RemoteFileSystem

# Define and save your MinIO block
minio_block = RemoteFileSystem(
    basepath='<s3://your-bucket-name>',
    settings={
        'key': 'your-access-key',
        'secret': 'your-secret-key',
        'client_kwargs': {
            'endpoint_url': '<http://your-minio-endpoint:9000>',
        },
    }
)

# Save the block for use in deployments
minio_block.save('minio-block', overwrite=True)

2. Deploy with the Saved Block: Use the saved block in your deployment script:

python
from prefect import flow
from prefect.filesystems import RemoteFileSystem

# Load the existing saved MinIO block
minio_block = RemoteFileSystem.load('minio-block')

@flow(result_storage=minio_block)
def my_flow():
    # Your flow logic here
    print("Flow is running")

# To run or deploy the flow
if __name__ == "__main__":
    my_flow()

3. Environment Check: - Ensure the deployment environment has network access to where the Prefect server or Prefect Cloud account is configured to retrieve the block. - Verify that the block name used (

'minio-block'

) is correct and matches what’s saved. By following these steps, you ensure that the block configuration is properly stored and retrievable when you deploy the flow. If problems persist, double-check network configurations and Prefect storage access permissions in your setup.

It works if I specify

result_storage='remote-file-system/minio-results'