def _limit_corpus_size(corpus_url, size_limit): """Limit number of files in a corpus url.""" files_list = list(storage.list_blobs(corpus_url)) corpus_size = len(files_list) if corpus_size <= size_limit: # Corpus directory size is within limit, no more work to do. return logs.log( 'Limit corpus at {corpus_url} from {corpus_size} to {size_limit}.'.format( corpus_url=corpus_url, corpus_size=corpus_size, size_limit=size_limit)) files_to_delete = random.sample(files_list, corpus_size - size_limit) bucket, _ = storage.get_bucket_name_and_path(corpus_url) for file_to_delete in files_to_delete: path_to_delete = storage.get_cloud_storage_file_path(bucket, file_to_delete) storage.delete(path_to_delete)
def _limit_corpus_size(corpus_url): """Limit number of files and size of a corpus.""" corpus_count = 0 corpus_size = 0 deleted_corpus_count = 0 bucket, _ = storage.get_bucket_name_and_path(corpus_url) for corpus_file in storage.get_blobs(corpus_url): corpus_count += 1 corpus_size += corpus_file['size'] if (corpus_count > CORPUS_FILES_LIMIT_FOR_FAILURES or corpus_size > CORPUS_SIZE_LIMIT_FOR_FAILURES): path_to_delete = storage.get_cloud_storage_file_path( bucket, corpus_file['name']) storage.delete(path_to_delete) deleted_corpus_count += 1 if deleted_corpus_count: logs.log('Removed %d files from oversized corpus: %s.' % (deleted_corpus_count, corpus_url))