Release v1.0.7 (What’s new?).

---

Welcome to config_patterns Documentation

config_patterns is a Python library that brings config management best practices for production-ready application.

1. Hierarchy Json Pattern for Config Management: allows you to define a hierarchy structure of your config data model, and inherit global config values if a specific config value is not defined.

2. Separate and Merge Non-Sensitive Data and Secret Data: allows you to manage non-sensitive config data and sensitive config data separately and merge them together.

3. Multi Environment Json: allows you to manage configs for multi-environment deployment application.

4. Multi Environment Config Management - SSM Backend: a production ready solution using AWS Parameter Store as the backend for multi-environment config management.

5. Multi Environment Config Management - S3 Backend: a production ready solution using AWS S3 as the backend for multi-environment config management.

Install

config_patterns is released on PyPI, so all you need is:

$ pip install config_patterns

To upgrade to latest version:

$ pip install --upgrade config_patterns

Table of Content

About the Author

(\ (\
( -.-)o    I am a lovely Rabbit!
o_(")(")

Sanhe Hu is a very active Python Developer Since 2010. Research area includes Machine Learning, Big Data Infrastructure, Block Chain, Business Intelligent, AWS, Distributive System. Love photography, outdoor, arts, game, and also the best Python.

• My Github: https://github.com/MacHu-GWU

API Document

• by Name

• by Structure