Metadata-Version: 2.4
Name: aws-python-boto-tools
Version: 0.0.1
Summary: Utilities for SQS batch, STS assume-role cache, and CloudWatch logging
Author-email: Your Name <you@example.com>
Project-URL: Homepage, https://github.com/satyap/aws-python-boto-tools.git
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: LICENSE-human.txt
Requires-Dist: botocore
Requires-Dist: boto3
Provides-Extra: testing
Requires-Dist: black; extra == "testing"
Requires-Dist: coverage; extra == "testing"
Requires-Dist: moto[sqs]; extra == "testing"
Requires-Dist: mypy; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Requires-Dist: pytest-mock; extra == "testing"
Provides-Extra: build
Requires-Dist: setuptools; extra == "build"
Requires-Dist: wheel; extra == "build"
Dynamic: license-file

# AWS utilities

![Python Version](https://img.shields.io/badge/python-3.10%2B-blue)
![PyPI](https://img.shields.io/pypi/v0.0.1/aws-python-boto-tools?label=PyPI%20Package)
![CI](https://github.com/satyap/aws-python-boto-tools/actions/workflows/ci.yml/badge.svg)

A collection of Python packages for:

* [Sending SQS messages in batches (efficient for cost and compute)](README_sqs_send_batch.md)
* [Using STS assume-role with an in-memory LRU cache](README_sts_assume_role.md)
* TODO: Logging to CloudWatch from Python programs in JSON format

