bean.config

bean.config is a minimal configuration framework for Python.

Define your configuration as a class and populate it from command-line arguments, environment variables, defaults, overrides, or custom sources.

Just enough to arrange some beans.

Overview

With bean.config you get:

• Type-safe configuration classes.
• Automatic loading from multiple built-in or user-defined sources.
• Configurable source priority.
• Custom validators and normalizers.

from enum import Enum
from bean import config

class Mode(Enum):
    DEV = "dev"
    PROD = "prod"

@config
class AppConfig:
    DEBUG: bool = False
    MODE: Mode = Mode.DEV
    HOST: str
    PORT: int = 8080

# `AppConfig` is now the loaded configuration instance.
print(config.dump_str(AppConfig))

Note:

To quickly inspect the public API:

python -c "
    import bean.config as bean
    for v in sorted(dir(bean)):
        print(f'- {v}')
"

Installation

Requirements:

• Python 3.14+

Using pip:

pip install --upgrade bean-config

Using curl (direct download):

curl -Ls \
    https://raw.githubusercontent.com/numen-0/bean/refs/heads/main/bean-config/src/bean/config.py

API

This is a quick reference for the main API.

For full details, see the source code.

Loading

cfg = config.load(
    Config,
    argv=["--host", "localhost"],
)

config.load(
    Config,
    env_prefix="APP",
    overrides={
        "HOST": "localhost",
    },
)

config.load(
    Config,
    priorities=("extra", "defaults"), # only load from extra and then defaults
    extra_sources={
        "extra": foo,                 # foo(field) -> value
    },
)

Built-in sources:

Validators

Validators can raise exceptions or return a boolean signaling success:

class Config:
    NAME: str
    PORT: int

    @config.validator("PORT")
    def port_is_valid(self, port: int) -> bool:
        return 0 < port <= 65535

    @config.validator("NAME")
    def name_is_valid(self, name: str):
      if name == "":
          raise ValueError("Empty NAME")

Note: Validators may return True, False or None.

Note: A validator fails only if it returns False or raises an exception.

Normalizers

Normalizers can be used to finalize the configuration load.

class Config:
    NAME: str
    HOST: str

    @config.normalizer("NAME", "HOST")
    def lowercase(self, name: str, host: str) -> tuple[str, str]:
        return name.lower(), host.lower()

    @config.normalizer("NAME", "HOST", series=True)
    def strip(self, value: str) -> str:
        return value.strip()

    @config.normalizer()
    def normalize(self) -> None:
      ...

Note:

The return value must match the declared fields

• No fields -> return None
• One field -> return the normalized value
• Multiple fields -> return a tuple with one value per field
• series=True -> the function receives and returns one field at a time

Notes

Validators and normalizers follow the same definition rules:

• The number of declared fields must match the function parameters.
• They work with instance methods, @staticmethod, and @classmethod.
• Execution order is determined by priority, then by function name.

License

All the repo falls under the MIT License.