PyConfig
Configuration management using pydantic and a bit of sugar.
This library provides a load and save method for pydantic config settings.
Settings can be saved in .json and .toml format. The latter is experimental.
"""Small example"""
from pydantic_loader import PydanticConfig
class DummyConfig(PydanticConfig):
"""An app configuration class
Define this class according to pydantic BaseSettings.
"""
a: int = 1
b: str = "ABC"
# Load a json file with config data and include it in the DummyConfig.
config = DummyConfig.load_config("a json config file.json")
# Providing a non existing file will raise a CfgError
# It will return a default instance of the config class when on_error_return_default=True
config = DummyConfig.load_config("invalid_file.json", on_error_return_default=True)
