def publish_target(dataset, target, treeish):
"""
Publish target of dataset.
This exists so the actual publish can be easily mocked.
"""
if target == 'github':
return github_export(dataset, target)
else:
return s3_export(dataset, target, treeish)
def export_dataset(dataset_path,
cookies=None,
s3_export=s3_export,
github_export=github_export,
github_enabled=DATALAD_GITHUB_EXPORTS_ENABLED):
"""
Export dataset to S3 and GitHub.
If the dataset has not been configured with public remotes, this is a noop.
"""
if is_git_annex_remote(dataset_path, get_s3_remote()):
dataset = os.path.basename(dataset_path)
repo = pygit2.Repository(dataset_path)
tags = git_tag(repo)
# Iterate over all tags and push those
for tag in tags:
s3_export(dataset_path, get_s3_remote(), tag.name)
# Once all S3 tags are exported, update GitHub
if github_enabled:
# Perform all GitHub export steps
github_export(dataset_path, tag.name)
# Drop cache once all exports are complete
clear_dataset_cache(dataset, cookies)