Settings and Python
Pydantic is great! but perhaps a bit heavy if all you need is basic settings management.
1 min read
So, while working on this project I found I was using pydantic (a magnificent library btw.) for one thing and one thing only - settings management. To boot, I was managing a client secret and a tenant id. Nothing more.
There has to be a simpler way, I thought to my self... and promptly went about switching one dependency for another.
Firstly you'll need some sort of .env file in the directory you run your script from (or it could also be exports).
client_secret = averysecretstringofmanymanycharacters tenant_id = notsosecretbutnicetokeepoutofsightofpryingeyesanyway
Then you need dataclasses, dotenv and os
Code will explain this better than I can.
"""A settings object.""" from dataclasses import dataclass, field from dotenv import load_dotenv import os load_dotenv() __all__: list[str] = [ "SETTINGS" ] class Settings: client_secret: str = field(default="") tenant_id: str = field(default="") other: str = "someothersetting" def __post_init__(self): """Read and set the config object.""" for name, _ in self.__dataclass_fields__.items(): if match := os.getenv(name): setattr(self, name, match) SETTINGS = Settings()
There you go. Your module initializes the Settings() on import and exports SETTINGS. Couldn't be simpler.
(An added bonus of using a .env file is that if you use git and the .gitignore file git provides you'll spare your self the embarrassment of checking in your secrets to github).