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Showing content from https://cloud.google.com/appengine/docs/legacy/standard/python/googlecloudstorageclient/functions below:

Functions in the App Engine client library for Cloud Storage | App Engine standard environment for Python 2

Skip to main content Functions in the App Engine client library for Cloud Storage

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The App Engine client library for Cloud Storage provides the following functions:

Functions

cloudstorage.copy2() copies the specifed file to the new specified filename in the same Cloud Storage bucket.
cloudstorage.delete() deletes the specified object from the Cloud Storage bucket.
cloudstorage.listbucket() lists the objects in the Cloud Storage bucket.
cloudstorage.open() opens an existing object in the Cloud Storage bucket for reading or overwriting, or creates a new object, depending on the specified mode
cloudstorage.stat() provides metadata information about the file, such as content type, size, timestamp, MD5 digest, and Cloud Storage headers.

Once cloudstorage.open() is invoked to return the file-like object representing the Cloud Storage object specified, you can use the standard Python file functions, such as write() and close(), to write an object to the Cloud Storage bucket, or read() to read an object from the Cloud Storage bucket.

Classes

Functions

cloudstorage.copy2 (src, dst, metadata=None, retry_params=None)

Copies the specified file to the new specified filename, by default copying over the metadata as well. Optionally, you can overwrite the metadata in the copy by providing the optional metadata param.

Raises cloudstorage.NotFoundError if the specified Cloud Storage object doesn't exist or cloudstorage.AuthorizationError if authorization failed.

Arguments

src (Required): The full Cloud Storage file name for the object, in the format /bucket/object_name. Must be a full filename and can include the delimiter `/`.
dst (Required): The full Cloud Storage file name for the copy of the object, in the format /bucket/object_name. Must be a full filename and can include the delimiter `/`.
metadata= None (Optional.): A dict of metadata for this copy, for example, {'x-goog-meta-foo': 'bar'}. If you supply the metadata param, none of the original metadata is copied over to the new file. If no metadata is supplied, (None), all of the source file metadata is copied over.
retry_params= None (Optional.): A RetryParams object in which you supply any changes you want to make to the default timeout and retry settings for this call.

Example

To copy a file but add new metadata and ignore the error if the source file does not exist:

import cloudstorage

try:
  cloudstorage.copy2('/my_bucket/README', '/my_bucket/README2', metadata={'x-goog-meta-zzzzz': 'zzzzz'})
except cloudstorage.NotFoundError:
  pass

cloudstorage.delete (filename, retry_params=None)

Deletes the specified file from the Cloud Storage bucket.

Raises cloudstorage.NotFoundError if the specified Cloud Storage object doesn't exist.

Arguments

filename (Required): The full Cloud Storage file name for the object, in the format /bucket/object_name. Must be a full filename and can include the delimiter `/`.
retry_params= None (Optional.): A RetryParams object in which you supply any changes you want to make to the default timeout and retry settings for this call.

Example

To delete a file but ignore the error when the file does not exist:

import cloudstorage

try:
  cloudstorage.delete(filename)
except cloudstorage.NotFoundError:
  pass

cloudstorage.listbucket (path_prefix, marker=None, max_keys=None, delimiter=None, retry_params=None)

Returns a bucket iterator object. This iterator returns a sorted list of objects that match all filters. Note that this function is asynchronous. It does not block unless the iterator is called before the iterator gets results.

This function operates in two different modes depending on whether you use the delimiter argument or not:

Regular mode (default): Lists all files in the bucket without any concept of hierarchy. (Cloud Storage doesn't have real directory hierarchies.)
Directory emulation mode: If you specify the delimiter argument, it is used as a path separator to emulate a hierarchy of directories.

Arguments

path_prefix (Required)

A Cloud Storage path of format /bucket or /bucket/prefix, for example, /bucket/foo/2001. Only objects whose fullpath starts with path_prefix will be returned.

marker= None (Optional)

String. Another path prefix. Only objects whose fullpath starts lexicographically after marker exclusively will be returned. The file used as `marker` is not returned. For example, if you want all fileslisted starting at superduperfoo3.txt to be listed, you specify the file immediately preceding superduperfoo3.txt, for example:

stat = cloudstorage.listbucket("/my_bucket/foo", marker='/my_bucket/foo/superduperfoo2.txt')

One way to use this parameter is to use it with max_keys to "page through" the bucket file names.

max_keys= None (Optional)

Integer. Specifies the maximum number of objects to be returned. Use it if you know how many objects you want. (Otherwise, the Cloud Storage client library automatically buffers and paginates through all results.) Can be used with marker to page through filenames in a bucket.

stats = cloudstorage.listbucket(bucket + '/foo', max_keys=page_size, marker=stat.filename)

delimiter= None (Optional)

String. Turns on directory mode. You can specify one or multiple characters to be used as a directory separator.

retry_params= None (Optional.)

A RetryParams object in which you supply any changes you want to make to the default timeout and retry settings for this call.

Result Value

Returns an iterator of GCSFileStat objects over the matched files, sorted by filename. In regular mode, the returned GCSFileStat objects have the following data:

filename
etag (The hex representation of the MD5 hash of the file's contents)
st_size (content length of headers)
st_ctime
is_dir

Note: If the GCSFileStat object's is_dir property is True, then the only other property in the object is filename. If is_dir is False, then the GCSFileStat contains all of the other properties as well.

cloudstorage.open(filename, mode='r', content_type=None, options=None, read_buffer_size=storage_api.ReadBuffer.DEFAULT_BUFFER_SIZE, retry_params=None)

In read mode (r) opens the specified Cloud Storage object for read. In write mode w, if the specified file exists, it opens it for an overwrite (append is not supported). If the file doesn't exist, it is created in the specified bucket.

When you finish writing, if you want to read the file and/or store it at Cloud Storage, close the file using the close function. It is not an error if you don't call close, but the file will not be readable or persisted at Cloud Storage.

Raises:

cloudstorage.NotFoundError if in read mode and the specified object doesn't exist.

Arguments

filename (Required)

The file to open, in the format /bucket/object. For example,/my_bucket/lyrics/southamerica/list5.txt.

mode (Optional)

String. Specify 'r' to open a file for read (default). Specify 'w' to open an existing file for overwriting or to create a new file.

content_type: (Optional)

String. Used only in write mode. You should specify the MIME type of the file (You can specify any valid MIME type.) If you don't supply this value, Cloud Storage defaults to the type binary/octet-stream when it serves the object.

options: (Optional)

Dict. Used only in write mode. Supported options are x-goog-acl, x-goog-meta-, cache-control, content-disposition and content-encoding.

If you don't supply an x-goog-acl option, Cloud Storage uses the bucket's default ACL. The valid values for x-goog-acl are listed in the Cloud Storage documentation for x-goog-acl.

You can specify custom object metadata using x-goog-meta- headers. For example:

gcs_file = cloudstorage.open(filename, 'w', content_type='text/plain', options={'x-goog-acl': 'private','x-goog-meta-foo': 'foo', 'x-goog-meta-bar': 'bar'})

read_buffer_size: (Optional)

Integer. Used only in read mode. If you don't set this value, the default buffer size is used (recommended). When you read, you should read by read_buffer_size for optimum prefetch performance.

retry_params= None (Optional.)

A RetryParams object in which you supply any changes you want to make to the default timeout and retry settings for this call.

Result Value

Returns a reading or writing buffer, supporting a file-like interface on which you can invoke standard Python read, write, and close functions. This buffer must be closed after you finish reading or writing.

cloudstorage.stat(filename, retry_params=None)

Returns a GCSFileStat object containing file metadata.

Raises cloudstorage.NotFoundError if the specified Cloud Storage object doesn't exist.

Arguments

filename (Required): The file to open, in the format /bucket/object. For example,/my_bucket/lyrics/southamerica/list5.txt
retry_params= None (Optional.): A RetryParams object in which you supply any changes you want to make to the default timeout and retry settings for this call.

Result Value

Returns a GCSFileStat object containing file metadata.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-07-18 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-07-18 UTC."],[[["The `cloudstorage` library enables interaction with Cloud Storage buckets, offering functions to manage files within them."],["`cloudstorage.copy2()` allows copying a file to a new location within the same bucket, with the option to modify metadata during the copy process."],["`cloudstorage.delete()` removes a specified object from a Cloud Storage bucket, raising an error if the file doesn't exist."],["`cloudstorage.listbucket()` retrieves a list of objects in a bucket, supporting both flat listing and directory-like structures via the `delimiter` parameter."],["`cloudstorage.open()` provides file-like object access to Cloud Storage objects for reading or overwriting, enabling interaction through standard Python file functions like `read()`, `write()`, and `close()`."]]],[]]

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