granular-configuration-language 2.4.1
This general purpose configuration utility library allows your code to use YAML as a configuration language for internal and external parties, allowing configuration to be crafted from multiple sources and merged just before use, using YAML Tags for additional functionality.
License: MIT
Requires Python: >=3.10

# `granular-configuration-language` – A General Purpose Configuration Utility Library

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> ⚠️ **This library is meant for trusted configuration files.** ⚠️

## How to get started?

See [Documentation - Getting Started](https://lifedox.github.io/granular-configuration-language/doc-spec/getting_started.html).

## How to install?

From [PyPI](https://pypi.org/project/granular-configuration-language/):

```shell
pip install granular-configuration-language
```

## Why does this exist?

This library exists to allow your code to use YAML as a configuration language for internal and external parties, allowing configuration to be crafted from multiple sources and merged just before use, using [YAML Tags](https://lifedox.github.io/granular-configuration-language/doc-spec/yaml.html) for additional functionality, and plugin support for creating custom YAML Tags.

Some use cases:

- You are writing a library to help connect to some databases. You want users to easily changes settings and defined databases by name.
  - Conceptual Example:
    - Library Code:
      ```python
      # database_util/config/config.py
      CONFIG = LazyLoadConfiguration(
          Path(__file___).parent / "config.yaml",
          "./database-util-config.yaml",
          "~/configs/database-util-config.yaml",
          base_path="database-util",
          env_location_var_name="ORG_COMMON_CONFIG_LOCATIONS",
      )
      ```
    - Library configuration:
      ```yaml
      # database_util/config/config.yaml
      database-util:
        common_settings:
          use_decimal: true
          encryption_type: secure
        databases: {} # Empty mapping, for users define
      ```
    - User application configuration:
      ```yaml
      # ~/configs/database-util-config.yaml
      database-util:
        common_settings:
          use_decimal: false
        databases:
          datebase1:
            location: http://somewhere
            user: !Mask ${DB_USERNAME}
            password: !Mask ${DB_PASSWORD}
      ```
    - Library Code with type annotations:
      ```python
      class CommonSettings(Configuration):
          use_decimal: bool
          encryption_type: str
      #
      class DatabaseSettings:
          location: str
          user: str
          password: str
      #
      class Settings(Configuration):
          common_settings: CommonSettings
          databases: Configuration[str, DatabaseSettings]
      #
      CONFIG = LazyLoadConfiguration(
          Path(__file___).parent / "config.yaml",
          "./database-util-config.yaml",
          "~/configs/database-util-config.yaml",
          base_path="database-util",
          env_location_var_name="ORG_COMMON_CONFIG_LOCATIONS",
      ).as_typed(Settings)
      ```
- You are deploying an application that has multiple deployment types with specific settings.
  - Conceptual Example:
    - Library Code:
      ```python
      # app/config/config.py
      CONFIG = LazyLoadConfiguration(
          Path(__file___).parent / "config.yaml",
          "./database-util-config.yaml",
          base_path="app",
      )
      ```
    - Base configuration:
      ```yaml
      # app/config/config.yaml
      app:
        log_as: really cool app name
        log_to: nowhere
      ```
    - AWS Lambda deploy:
      ```yaml
      # ./database-util-config.yaml
      app:
        log_to: std_out
      ```
    - Server deploy:
      ```yaml
      # ./database-util-config.yaml
      app:
        log_to: !Sub file://var/log/${$.app.log_as}.log
      ```
- You are writing a [`pytest`](https://docs.pytest.org/en/stable/) plugin that creates test data using named fixtures configured by the user.
  - Conceptual Examples:
    - Library Code:
      ```python
      # fixture_gen/config/config.py
      CONFIG = LazyLoadConfiguration(
          Path(__file___).parent / "fixture_config.yaml",
          *Path().rglob("fixture_config.yaml"),
          base_path="fixture-gen",
      ).config
      #
      for name, spec in CONFIG.fixtures:
          generate_fixture(name, spec)
      ```
    - Library configuration:
      ```yaml
      # fixture_gen/config/fixture_config.yaml
      fixture-gen:
        fixtures: {} # Empty mapping, for users define
      ```
    - User application configuration:
      ```yaml
      # fixture_config.yaml
      fixture-gen:
        fixtures:
          fixture1:
            api: does something
      ```

## Why the long name?

- It's "granular" because you can specify settings across multiple files at a fine granularity for overriding values.
- It is meant for trusted "configuration" files.
- Including "language" makes it clear that this is not the source of configuration, but a library for processing generic configuration files.
  - Feedback was that "granular-configuration" sounded like it was the source for configuration.
  - "Format" sounded weirder than "language".
  - Including "YAML" sounded like this was trying to be more than YAML, rather than just using YAML.