def remove_prefix(prefix):
"""Removes all objects beginning with prefix"""
objects_iter = iterlist(prefix)
while True:
batched_objects = builtin_list(islice(objects_iter, 1000))
if not batched_objects:
break
remove(batched_objects)
def _split_query(cls, query_func, messages):
"""Split messages into chunks of size ``_queue_push_limit``. For
each chunk, apply *query_func*."""
try:
messages_iter = iter(messages)
except TypeError:
raise TypeError('messages must be an iterable')
while True:
batched_messages = builtin_list(islice(messages_iter, cls._queue_push_limit))
if not batched_messages:
break
query_func(batched_messages)
return True
def remove(obj_paths, prefix=None):
"""Removes object(s) named ``effective_obj_paths`` from PiCloud bucket
obj_paths can be a single object or a list of objects
"""
conn = _getcloudnetconnection()
if not hasattr(obj_paths, '__iter__'):
obj_paths = [obj_paths]
obj_paths_iter = obj_paths.__iter__()
removed = False
while True:
paths_to_remove = builtin_list(islice(obj_paths_iter, 1000))
if not paths_to_remove:
break
full_obj_paths =[ _get_effective_obj_path(obj_path, prefix) for obj_path in paths_to_remove]
resp = conn.send_request(_bucket_remove_query, {'name': full_obj_paths})
removed = resp['removed']
return removed
