Organize your config and environment variables
Project description
enver
Enver is a simple config / environment helper.
Collect all your config values and environment variables in a single location, so new contributors knows what variables must be
set, and don't have to go searching for os.environ
or os.getenv
scattered throughout the code.
Features:
- Automatic validation of environment variables.
- Automatic casting to desired data type using Pydantic.
- Optional default values.
- Fails fast if a variable has no value (either default or override).
- Allows lookup using dot notation, e.g.
env.DB_PASSWORD
, as well as subscript (env['DB_PASSWORD']
) or theget()
methodenv.get('DB_PASSWORD')
.
Installation
pip install enver
Usage
Create a class that inherits from Enver, with config variables as class attributes. Putting this class in a separate config.py file might be a good idea, but is not necessary.
# config.py
from enver import Enver
from typing import Optional, List, Dict
class Config(Enver):
MY_DB_HOST: str = "127.0.0.1"
MY_DB_USER: str = "user"
MY_DB_PASSWORD: str # No default value, will be supplied as environment value.
THIS_VAL_MIGHT_NOT_EXIST_IN_ENV: Optional[str]
PI: float # Read from env and converted to float, if possible.
ENABLE_LOGGING: bool = True
LOCATIONS: List[str] = ["/opt", "/etc"]
MAPPING: Dict[str, float]
If environment values with the same name as any of the attributes exist, those will be used, overriding any defaults. Values will be converted to the specified type. If conversion is not possible, an exception is thrown.
Here's how to use the values:
# service.py
from .config import Config
env = Config()
user = env.MY_DB_USER
password = env.MY_DB_PASSWORD
if env.exists('FEATURE_1'):
feature_1()
all_values = env.all()
The Enver
class and any derived classes are singletons, meaning they always return the same instance:
env1 = Config()
env2 = Config()
assert env1 is env2
Which means this is fine:
user = Config().MY_DB_USER
password = Config().MY_DB_PASSWORD
Development
Dependencies for the project are managed with poetry. To install all dependencies run:
poetry install
To install pre-commit and set up its git hooks:
pip install pre-commit
pre-commit install
Now pre-commit will run automatically on every commit.
Project details
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