Module-Level Configuration

Defined at the top-level of a Python module (file), typically as global variables or constants. For example:

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# settings.py
API_KEY = 'your-key-here'
DEBUG = True
TIMEOUT = 30

Usage:

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from settings import API_KEY, DEBUG, TIMEOUT

Pydantic-Based Configuration

Pydantic is a data validation and parsing library.

define config (or any data model) as a class with type annotations, validation, and parsing built-in.

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from pydantic import BaseSettings

class Settings(BaseSettings):
    api_key: str
    debug: bool = False
    timeout: int = 30

    class Config:
        env_file = ".env"

settings = Settings()