def on_post(self, req, resp, dataset, hexsha):
"""Run validation for a given commit"""
if dataset and hexsha:
# Record if this was done on behalf of a user
name, email = get_user_info(req)
media_dict = {}
if name and email:
media_dict['name'] = name
media_dict['email'] = email
try:
dataset_path = self.store.get_dataset_path(dataset)
# Run the validator but don't block on the request
validate_dataset(dataset,
dataset_path,
hexsha,
req.cookies,
user=name)
resp.status = falcon.HTTP_OK
except:
resp.status = falcon.HTTP_INTERNAL_SERVER_ERROR
else:
resp.media = {
'error': 'Missing or malformed dataset parameter in request.'
}
resp.status = falcon.HTTP_UNPROCESSABLE_ENTITY
def update_head(ds, dataset_id, cookies=None):
"""Pass HEAD commit references back to OpenNeuro"""
ref = ds.repo.get_hexsha()
# We may want to detect if we need to run validation here?
validate_dataset(dataset_id, ds.path, ref)
r = requests.post(url=GRAPHQL_ENDPOINT,
json=draft_revision_mutation(dataset_id, ref), cookies=cookies)
if r.status_code != 200:
raise Exception(r.text)
def commit_files(store, dataset, files, name=None, email=None, cookies=None):
"""
Commit a list of files with the email and name provided.
Returns the commit hash generated.
"""
ds = store.get_dataset(dataset)
with CommitInfo(ds, name, email):
if files:
for filename in files:
ds.save(filename)
else:
# If no list of paths, add all untracked files
ds.save('.')
ref = ds.repo.get_hexsha()
# Run the validator but don't block on the request
validate_dataset(dataset, ds.path, ref, cookies)
return ref