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Maddosaurus avatar Maddosaurus commented on June 12, 2024

Pydantic can be used in a very sleek and efficient way as a settings manager. One or multiple classes can be defined, i.e. in a settings.py:

from pathlib import Path
from pydantic import BaseModel

class SettingsTest(BaseModel):
    # For all types, see https://pydantic-docs.helpmanual.io/usage/types/
    basePath: Path = "/some/path"
    answer: int = 42

    class Config:
        # General config options for the model. See https://pydantic-docs.helpmanual.io/usage/model_config/
        # For Setting-specific options, see https://pydantic-docs.helpmanual.io/usage/settings/
        
        # This is prefixed to env vars.
        # To set answer, you'd have to do an export SET_TEST_ANSWER=24
        env_prefix = "set_test_"


SETTINGS = SettingsTest()

If settings are needed in another place, the constant can be imported and used like so:

from settings import SETTINGS

def main():
    print("Pydantic settings demo")
    print("The Answer to the Ultimate Question of Life, the Universe, and Everything is {}".format(SETTINGS.answer))
    print("Set basepath is: {}".format(SETTINGS.basePath))

if __name__ == "__main__":
    main()

The variables in the settings class are initialized the first time the settings class is imported somewhere. If any environment variables are set (i.e. SET_TEST_ANSWER=21), they take precedence over the default values.

from cameraobscura.

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