Python package with tools to manage a Google Cloud Bucket instance.
pip install git+https://github.com/simonsanvil/googleBucketManager
Besides allowing you to manage the files in your bucket you can also download all files in an specific folder of your bucket to a local directory and sync them.
Check the following Google Colab for examples about how to integrate this package with your Google Colab project:
Before a BucketManager class instance is created you need to have set GOOGLE_APPLICATION_CREDENTIALS in your environmental variables. See the Google docs Getting started with authentication to see how this is obtained.
from googleBucketManager import GoogleBucketManager
bucket_manager = GoogleBucketManager(bucket_name='my-bucket')List all blobs (files) in a bucket:
bucket_manager.list_bucket()List blobs in an specific folder of your bucket:
bucket_manager.list_dir('path/to/bucket/folder')Delete a blob from your bucket:
bucket_manager.delete_blob('bucket/path/to/blob')Upload local file to your remote bucket:
bucket_manager.upload_blob('local/path/to/file','bucket/path/to/new/blob')Download file from your remote bucket to a local path:
bucket_manager.download_blob('bucket/path/to/blob','local/path/to/new/file')Download a folder from your remote bucket to a local directory:
bucket_manager.download_folder('bucket/path/to/folder','local/path/to/new/folder')Connect a local directory with a remote bucket folder and sync them:
bucket_manager.link_sync('bucket/path/to/folder-to-sync','local/path/to/directory-to-sync')
#...
## After making changes to the specified local directory
# and you are ready to sync the remote bucket run the following
# command to apply your local changes to the respective bucket folder
manager.sync_bucket()