quartzbio.cli.data module

quartzbio.cli.data.create_dataset(args, template=None)

Attempt to create a new dataset given the following params:

• template_id

• template_file

• capacity

• tag

• metadata

• metadata_json_file

• create_vault

• full_path

• dry_run

quartzbio.cli.data.download(args)

Given a folder or file, download all the files contained within it (not recursive).

quartzbio.cli.data.import_file(args)

Given a dataset and a local path, upload and import the file(s).

Command arguments (args):

• create_dataset and it’s args

  • capacity

  • template_id

  • template_file

  • capacity

  • tag

  • metadata

  • metadata_json_file

  • create_vault

• full_path

• commit_mode

• remote_source

• dry_run

• follow

• file (list)

quartzbio.cli.data.ls(args)

Given a QuartzBio remote path, list the files and folders

quartzbio.cli.data.queue(statuses=['running', 'queued'])

Get all running and queued Tasks for an account and groups them by User and status. It also prints out the Job queue in the order that they will be evaluated.

quartzbio.cli.data.should_exclude(path, exclude_paths, dry_run=False, print_logs=True)

quartzbio.cli.data.should_tag_by_object_type(args, object_)

Returns True if object matches object type requirements

quartzbio.cli.data.show_queue(args)

Show running and queued tasks

quartzbio.cli.data.tag(args)

Tags a list of paths with provided tags

quartzbio.cli.data.upload(args)

Given a folder or file, upload all the folders and files contained within it, skipping ones that already exist on the remote.