gcs-client 0.1.4

Features

For now only basic functionality is available:

• Creating buckets

• Deleting buckets

• Listing buckets in a project

• Getting default bucket for a project

• Getting bucket attributes

• Listing objects in a bucket

• Getting objects attributes

• Deleting objects

• Reading object contents

• Writing an object

• Configurable retries with Truncated Exponential Backoff

Usage Example

To use gcs-client in a project you will need to have Credentials to access intended Google Cloud Storage.

Credentials are generated in Google Developers Console in the Credentials section of the API Manager of the project. Recommended credentials file is JSON.

Once you have the credentials you can start using gcs_client to access your project:

import gcs_client

credentials = gcs_client.Credentials('private_key.json')
project = gcs_client.Project('project_name', credentials)

# Print buckets in the project
buckets = project.list()
print 'Buckets:\n\t- ','\n\t- '.join(map(str, buckets))

# Print some information from first bucket
bucket = buckets[0]
print 'Bucket %s is located in %s with storage class %s' % (bucket, bucket.location, bucket.storageClass)

# List the objects in the bucket
objects = bucket.list()
if objects:
    print '\t','\n\t'.join(map(lambda o: o.name + ' has %s bytes' % o.size, objects))
    # Read the contents from the first file
    with objects[0].open() as obj:
        print 'Contents of file %s are:\n' % obj.name, obj.read()
else:
    print 'There are no objects, nothing to do'

More examples can be found in the documentation, in the Usage section.

0.1.4 (2015-11-16)

• No changes, version bump to reload in pypi

0.1.3 (2015-11-16)

• Reading an object will return data as bytes, not a bytearray.

• Read specific versions of an object.

• Can specify chunksize on Bucket’s open and Object init.

• Add exists to buckets and project.

• Fix opening files with names that needed encoding.

0.1.2 (2015-11-10)

• Fix seek method.

0.1.1 (2015-11-09)

• Fix Pypi package.

0.1.0 (2015-11-09)

• First release on PyPI.