upload_to_datastore

health_azure.upload_to_datastore(datastore_name, local_data_folder, remote_path, aml_workspace=None, workspace_config_path=None, overwrite=False, show_progress=False)

Upload a folder to an Azure ML Datastore that is registered within a given Workspace. Note that this will upload all files within the folder, but will not copy the folder itself. E.g. if you specify the local_data_dir=”foo/bar” and that contains the files [“1.txt”, “2.txt”], and you specify the remote_path=”baz”, you would see the following paths uploaded to your Datastore: [“baz/1.txt”, “baz/2.txt”]

If not running inside AML and neither a workspace nor the config file are provided, the code will try to locate a config.json file in any of the parent folders of the current working directory. If that succeeds, that config.json file will be used to instantiate the workspace.

Parameters

• datastore_name (str) – The name of the Datastore to which the blob should be uploaded. This Datastore itself must be an instance of an AzureBlobDatastore

• local_data_folder (Path) – The path to the local directory containing the data to be uploaded

• remote_path (Path) – The path to which the blob should be uploaded

• aml_workspace (Optional[Workspace]) – Optional Azure ML Workspace object

• workspace_config_path (Optional[Path]) – Optional path to settings for Azure ML Workspace

• overwrite (bool) – If True, will overwrite any existing file at the same remote path. If False, will skip any duplicate files and continue to the next.

• show_progress (bool) – If True, will show the progress of the file download

Return type

None