A multi-platform cloud storage utility
Project description
Cloud Storage Utility
A Python based cloud utility to help you transfer files to and from multiple cloud providers under one CLI/API.
Supported Cloud Platforms
Platform | Implemented |
---|---|
IBM Cloud | ✅ |
Azure | ❌ Coming Soon! |
AWS | ❌ Coming Soon! |
Installation
pip install cloud-storage-utility
Usage
Configuration
To configure this application, you have to set a few environment variables.
# Currently we only support 'ibm'
CSUTIL_CLOUD_PLATFORM=
# You only need to set these if you intend to use ibm
CSUTIL_IBM_API_KEY=
CSUTIL_IBM_AUTH_ENDPOINT=
CSUTIL_IBM_COS_ENDPOINT=
# If `CSUTIL_IBM_API_KEY` is undefined, we will attempt to use `IBMCLOUD_API_KEY` instead.
CLI Commands
You can use csutil --help
to see an exhaustive list of options and commands
csutil delete <bucket name> <filename>
csutil list-remote <bucket name>
csutil pull <bucket name> <destination directory> <cloud-files>
csutil push <bucket name> <local-files>
Here are some examples
csutil delete example-bucket *.txt
csutil delete example-bucket *.txt *.md example.csv
csutil list-remote example-bucket
csutil pull example-bucket ./dat *
csutil pull example-bucket ./dat tmp.txt tmp2.txt *.md
csutil push example-bucket ./dat/*
csutil push example-bucket/test_directory ./dat/tmp.txt ./dat/tmp2.txt
Python API
Example usage
import asyncio
from cloud_storage_utility.file_broker import FileBroker
config = IbmConfiguration(
auth_endpoint="http://ibm-endpoint.com/auth",
cos_endpoint="https://ibm-endpoint.com/cos",
api_key="<api-key>"
)
async def main():
async with FileBroker(config) as file_broker:
file_broker.download_files(
bucket_name="test-bucket",
local_directory="./data",
file_names=["tmp.txt1", "tmp2.txt"],
)
if __name__ == "__main__":
asyncio.run(main())
Check out the API docs for many more detailed examples!
Developing Locally
We use pipenv
to manage packages. If you don't already have it installed, make sure to install it via pip install pipenv
.
We also use python-dotenv
for managing env vars for local development, so you can create a .env file for yourself and set the relevant vars that way.
# You can use any python version, but I recommend 3.9
pipenv --python 3.9
# Gotta use the pre flag because of the code formatter
pipenv install --dev --pre
Now you're all set to start writing code!
https://cloud.ibm.com/docs/cloud-object-storage?topic=cloud-object-storage-object-operations
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