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Typed application settings on top of didactic Models.

Project description

didactic-settings

Typed application settings on top of dx.Model.

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Contributes didactic.settings to the namespace package.

Install

pip install didactic-settings
pip install 'didactic-settings[yaml]'   # adds YAML support

The package depends on didactic. The optional yaml extra adds PyYAML for .yaml / .yml config files.

Quickstart

import didactic.api as dx
from didactic.settings import Settings, EnvSource, FileSource


class AppSettings(Settings):
    debug: bool = False
    db_url: str
    port: int = 8080

    __sources__ = (
        FileSource(path="config.toml"),
        EnvSource(prefix="APP_"),
    )


cfg = AppSettings.load()
cfg.port                      # the resolved value
cfg.__provenance__["port"]    # 'env' / 'file' / 'default' / 'override'

Settings inherits from dx.Model, so every Model feature works: type checks, axioms, validators, JSON Schema export.

Sources

source reads from
EnvSource(prefix="APP_") environment variables
DotEnvSource(path=".env", prefix="APP_") dotenv file
FileSource(path="config.toml") JSON, TOML, or YAML by suffix
CliSource(args=ns) parsed argparse.Namespace or dict

Sources are walked in declaration order; later sources override earlier ones. Keyword overrides at Settings.load(...) win over every source.

Documentation

See Guides > Settings for the full source documentation, coercion rules, and provenance reporting.

License

Released under the MIT License.

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