Welcome to config_patterns Documentation
config_patterns is a Python library that brings config management best practices for production-ready application.
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.
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.
Multi Environment Json: allows you to manage configs for multi-environment deployment application.
Multi Environment Config Management - SSM Backend: a production ready solution using AWS Parameter Store as the backend for multi-environment config management.
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
Metadata
Release files for config-patterns 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| config_patterns-1.0.7.tar.gz | 41.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| config_patterns-1.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 85.4 kB
Release files / config_patterns-1.0.7.tar.gz
| Download URL | config_patterns-1.0.7.tar.gz |
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Release files / config_patterns-1.0.7-py3-none-any.whl
| Download URL | config_patterns-1.0.7-py3-none-any.whl |
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| Tags | Python 3 |
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