storage_batch_request.py

#!/usr/bin/env python

# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys

"""Sample that uses a batch request.
This sample is used on this page:
    https://cloud.google.com/storage/docs/batch
For more information, see README.md.
"""

# [START storage_batch_request]

from google.cloud import storage


def batch_request(bucket_name, prefix=None):
    """
    Use a batch request to patch a list of objects with the given prefix in a bucket.

    Note that Cloud Storage does not support batch operations for uploading or downloading.
    Additionally, the current batch design does not support library methods whose return values
    depend on the response payload.
    See https://cloud.google.com/python/docs/reference/storage/latest/google.cloud.storage.batch
    """
    # The ID of your GCS bucket
    # bucket_name = "my-bucket"
    # The prefix of the object paths
    # prefix = "directory-prefix/"

    client = storage.Client()
    bucket = client.bucket(bucket_name)

    # Accumulate in a list the objects with a given prefix.
    blobs_to_patch = [blob for blob in bucket.list_blobs(prefix=prefix)]

    # Use a batch context manager to edit metadata in the list of blobs.
    # The batch request is sent out when the context manager closes.
    # No more than 100 calls should be included in a single batch request.
    with client.batch():
        for blob in blobs_to_patch:
            metadata = {"your-metadata-key": "your-metadata-value"}
            blob.metadata = metadata
            blob.patch()

    print(
        f"Batch request edited metadata for all objects with the given prefix in {bucket.name}."
    )


# [END storage_batch_request]

if __name__ == "__main__":
    batch_request(bucket_name=sys.argv[1], prefix=sys.argv[2])