def freeze_workflow(workflow): # does not parse
image_paths = wf.extract_paths_image_ids(workflow)
# Extract the docker images named in the workflow
paths_image_ids = wf.extract_paths_image_ids(workflow)
image_ids = wf.extract_image_ids(paths_image_ids)
# Consult docker API to resolve all image names/ids to ids
client = dk.get_client()
frozen_image_metadata = {}
for image_id in image_ids:
resolved_image_metadata = dk.get_image_metadata(client, image_id)
if len(resolved_image_metadata) != 1:
raise 'Too many images found for {}, please be more specific'.format(image_id)
frozen_image_metadata[image_id] = resolved_image_metadata[0]
# Replace images named in workflow with resolved (frozen) ids
for d in paths_image_ids:
path = d[wf.PATH]
orig_image_id = d[wf.IMAGE_ID]
new_image_id = frozen_image_metadata[orig_image_id]['Id']
wf.replace_values(workflow, path, new_image_id)
return frozen_image_metadata, workflow
def export_images(frozen_image_metadata, export_dir):
# frozen_images is a dict of {'orig': 'resolved'}
client = dk.get_client()
for name, metadata in frozen_image_metadata.items():
dk.write_image(client, metadata, export_dir)
