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A multi-platform cloud storage utility

Project description

Cloud Storage Utility

codecov PyPI pyversions PRs Welcome Open Source? Yes!

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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