semvec/pypi-packages huggingface dataset:
awesome-object-store 3.0.0
minio wrapper to perform task like pandas dataframe upload, download
License: Apache-2.0
Requires Python: <3.12,>=3.9

[![Stable Version](https://badge.fury.io/py/awesome-object-store.svg)](https://pypi.org/project/awesome-object-store/)
[![tests](https://github.com/MoBagel/awesome-object-store/workflows/develop/badge.svg)](https://github.com/MoBagel/awesome-object-store)
[![Coverage Status](https://coveralls.io/repos/github/MoBagel/awesome-object-store/badge.svg?branch=develop)](https://coveralls.io/github/MoBagel/awesome-object-store?branch=develop)

# Awesome Object Store 

A library that extends minio python client to perform more complex task like read/write pandas DataFrame, json file, ...etc

# Feature
* list_buckets: list all buckets.
* list_objects: list object under a prefix.
* put_as_json: put a dict as json file on s3.
* exists: check if an object exist on s3.
* remove_dir: remove a directory on s3.
* upload_df: Upload df as csv to s3.
* get_json: Get as dict from a json file on s3.
* get_df: Get a dataframe from a csv object on s3.
* remove_objects: Remove objects.
* download: Downloads data of an object to file.

# Development
## run unit test
1. getting service account credential:
   1. visit google cloud console
   1. go to project 8ndpoint-datalake-dev -> Security -> Secret Manager -> awesome-object-store-unit-test
   1. action -> view secret value
   1. store the value in tests/service-account.json
2. run ./run_test.sh