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1 change: 0 additions & 1 deletion google/cloud/storage/transfer_manager.py
Original file line number Diff line number Diff line change
Expand Up @@ -867,7 +867,6 @@ def download_many_to_path(
return results



def download_chunks_concurrently(
blob,
filename,
Expand Down
78 changes: 67 additions & 11 deletions samples/snippets/storage_transfer_manager_download_many.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,9 +12,17 @@
# See the License for the specific language governing permissions and
# limitations under the License.

# Example usage:
# python samples/snippets/storage_transfer_manager_download_many.py \
# --bucket_name <your-bucket-name> \
# --blobs <blob_name_1> <blob_name_2> \
# --destination_directory <destination_directory> \
# --blob_name_prefix <prefix>


# [START storage_transfer_manager_download_many]
def download_many_blobs_with_transfer_manager(
bucket_name, blob_names, destination_directory="", workers=8
bucket_name, blob_names, destination_directory="", blob_name_prefix="", workers=8
):
"""Download blobs in a list by name, concurrently in a process pool.

Expand All @@ -36,11 +44,11 @@ def download_many_blobs_with_transfer_manager(
# blob_names = ["myblob", "myblob2"]

# The directory on your computer to which to download all of the files. This
# string is prepended (with os.path.join()) to the name of each blob to form
# the full path. Relative paths and absolute paths are both accepted. An
# empty string means "the current working directory". Note that this
# parameter allows accepts directory traversal ("../" etc.) and is not
# intended for unsanitized end user input.
# string is prepended to the name of each blob to form the full path using
# pathlib. Relative paths and absolute paths are both accepted. An empty
# string means "the current working directory". Note that this parameter
# will NOT allow files to escape the destination_directory and will skip
# downloads that attempt directory traversal outside of it.
# destination_directory = ""

# The maximum number of processes to use for the operation. The performance
Expand All @@ -56,15 +64,63 @@ def download_many_blobs_with_transfer_manager(
bucket = storage_client.bucket(bucket_name)

results = transfer_manager.download_many_to_path(
bucket, blob_names, destination_directory=destination_directory, max_workers=workers
bucket,
blob_names,
destination_directory=destination_directory,
blob_name_prefix=blob_name_prefix,
max_workers=workers,
)

for name, result in zip(blob_names, results):
# The results list is either `None` or an exception for each blob in
# The results list is either `None`, an exception, or a warning for each blob in
# the input list, in order.

if isinstance(result, Exception):
if isinstance(result, UserWarning):
print("Skipped download for {} due to warning: {}".format(name, result))
elif isinstance(result, Exception):
print("Failed to download {} due to exception: {}".format(name, result))
else:
print("Downloaded {} to {}.".format(name, destination_directory + name))
print(
"Downloaded {} inside {} directory.".format(name, destination_directory)
)


# [END storage_transfer_manager_download_many]

if __name__ == "__main__":
import argparse

parser = argparse.ArgumentParser(
description="Download blobs in a list by name, concurrently in a process pool."
)
parser.add_argument(
"--bucket_name", required=True, help="The name of your GCS bucket"
)
parser.add_argument(
"--blobs",
nargs="+",
required=True,
help="The list of blob names to download",
)
parser.add_argument(
"--destination_directory",
default="",
help="The directory on your computer to which to download all of the files",
)
parser.add_argument(
"--blob_name_prefix",
default="",
help="A string that will be prepended to each blob_name to determine the source blob name",
)
parser.add_argument(
"--workers", type=int, default=8, help="The maximum number of processes to use"
)

args = parser.parse_args()

download_many_blobs_with_transfer_manager(
bucket_name=args.bucket_name,
blob_names=args.blobs,
destination_directory=args.destination_directory,
blob_name_prefix=args.blob_name_prefix,
workers=args.workers,
)
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