<@ULVA73B9P>, I want to create a file system block...
# ask-marvin
j
@Marvin, I want to create a file system block to interact with azure blob storage. I see in the doc to create a block it is simply:
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from prefect.filesystems import Azure

block = Azure(bucket_path="my-bucket/folder/")
block.save("dev")
How would I then interact with the storage?
m
After creating an Azure filesystem block with Prefect, as you mentioned, you can use it in a deployment to interact with Azure Blob Storage. You'd generally build your deployment specifying the storage block that corresponds to the Azure block you've saved. The following steps would be a general approach to interacting with Azure Blob Storage after creating your block: 1. Ensure you have
adlfs
installed, as it is used under the hood by the Azure block. 2. Define your workflows in a Python script and specify how to interact with the storage within your flow's tasks - for example, reading from or writing to blob storage. 3. Use the
prefect deployment build
command to build a deployment for your flow, referencing the created Azure storage block. Here's a general example of how you would use the block in a deployment:
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python
from prefect import flow

@flow
def my_flow():
    # Your flow logic here
    # This could include reading from or writing to Azure blob storage

# Build the deployment specifying the Azure block
# (Replace `path/to/flow.py:flow_name` with the path to your flow and the actual flow name)
prefect deployment build path/to/flow.py:flow_name --name deployment_name --tag dev -sb az/dev
In this example,
-sb az/dev
specifies the storage block named "dev" under the namespace "az", which denotes the Azure filesystem block you've saved. For more specific code examples, you might want to consult the Prefect documentation or GitHub issues to see how others have implemented interactions with Azure Blob Storage using Prefect's filesystem blocks. Would you like me to search GitHub issues for more examples on interacting with Azure Blob Storage using Prefect?
n
🙅
😁 1
you can still use the bucket as storage for a deployment but I would not use
prefect deployment build
anymore, use work pools and a
push
/
pull
step that references your bucket as far as general methods on the
Azure
block, i like to just go to defintion (cmd+click in vscode) and look at the methods
j
ah, I see. Thanks @Nate so if I understand correctly I would create the block like the example:
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block = Azure(bucket_path="my-bucket/folder/")
and then interact with the linked methods:
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block.put_directory(
n
yep