Config Wrangler (config_wrangler)

pydantic based configuration wrangler. Handles reading multiple ini or toml files with inheritance rules and variable expansions.

This tool grew out of the limitations discovered using ConfigParser with a multiple large ETL loads using the bi_etl framework.

• Validate the configuration files at startup and not hours into the program run.

  e.g. ConfigParser.getint() would fail deep into a run when reading a non-integer value

• Needed a clean way to support configuration items that might be either environment specific or shared across environments (checked into git).

• Needed to have configuration items that are shared across multiple programs while also having some that are specific to each program. Also wanted to avoid a single huge monolith config file – that due to the validation had to all be valid in order for any single program that used part of it to startup successfully.

This project on PyPI: config-wrangler

Installation

Install using your package manager of choice:

• poetry add config-wrangler

• pip install -U config-wrangler

• conda install config-wrangler -c conda-forge.

Parts of config_wrangler

• Config Templates
• A Simple Example
• Code Documentation Standards
• Building the HTML Version
• reStructuredText Header Levels

Modules APIs

• config_wrangler package
  • Subpackages
    • config_wrangler.config_data_loaders package
    • config_wrangler.config_templates package
    • config_wrangler.config_types package
  • Submodules
    • config_wrangler.config_exception module
    • config_wrangler.config_from_ini module
    • config_wrangler.config_from_ini_env module
    • config_wrangler.config_from_loaders module
    • config_wrangler.config_root module
    • config_wrangler.config_wrangler_config module
    • config_wrangler.utils module
    • config_wrangler.validate_config_hierarchy module
  • Module contents

Indices and tables

• Index

• Module Index

• Search Page