Joe B
01/26/2024, 7:34 PMfrom prefect.filesystems import Azure
block = Azure(bucket_path="my-bucket/folder/")
block.save("dev")
How would I then interact with the storage?Marvin
01/26/2024, 7:34 PMadlfs
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:
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?Nate
01/26/2024, 7:35 PMNate
01/26/2024, 7:37 PMprefect 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 methodsJoe B
01/26/2024, 7:43 PMblock = Azure(bucket_path="my-bucket/folder/")
and then interact with the linked methods:
block.put_directory(
Nate
01/26/2024, 8:23 PM