ConfigFramework 2.1.1

A small framework to build your flexible project configurations

ConfigFramework

A small and simple framework to build your configs.

This project been created mostly because of me myself needing some simplistic and at the same time powerful enough tool to create configs, validate them through have simple interface.

Installing

Pypi link: https://pypi.org/project/ConfigFramework

pip install ConfigFramework

Documentation

ConfigFrameworks stable branch documentation

How to build docs for local usage

1. Install dev-requirements.txt via pip install -r dev-requirements.txt
2. Change a current directory to docs/
3. Execute make html
4. Open build/html folder and then open index.html in your browser

Example of usage

Here's basic example:

from ConfigFramework import loaders, variables, BaseConfig


first_loader = loaders.JsonStringLoader.load('{"Is it simple?": true}', defaults={"useful?": "maybe", "pi": 2.74})
second_loader = loaders.JsonStringLoader.load('{"Is it simple?": false, "Var": "value"}')
composite_loader = loaders.CompositeLoader.load(first_loader, second_loader)


class Config(BaseConfig):
    is_simple = variables.BoolVar("Is it simple?", first_loader)
    is_useful = variables.ConfigVar("useful?", first_loader, validator=lambda v: v == "maybe")
    pi = variables.FloatVar("pi", first_loader, default=3.14, constant=True, validator=lambda v: v == 3.14)

    class NestedConfig(BaseConfig):
        are_composite_loaders_simple = variables.BoolVar("Is it simple?", composite_loader)

        def __post_init__(self, *args, **kwargs):
            yes_or_no = 'Yes' if self.are_composite_loaders_simple.value else 'No'
            print(f"Is it simple to use composite loaders? {yes_or_no}")
            print("Nested config:", kwargs['phrase'])

    def __post_init__(self, *args, **kwargs):
        is_simple_to_str = 'simple' if self.is_simple.value else 'hard'
        print(f"ConfigFramework is {is_simple_to_str} and {self.is_useful.value} useful")
        print(f"Here's pi = {self.pi.value}")
        print("Main config:", kwargs['phrase'])


config = Config(phrase="Here's a way to pass variables")

try:
    print("pi is constant:", config.pi.is_constant)
    config.pi.value = 2.22

except NotImplementedError:
    print("You can not set value to constants on runtime")

See examples with explanation here

from ConfigFramework import BaseConfig
from ConfigFramework.loaders import DictLoader
from ConfigFramework.variables import ConfigVar
from ConfigFramework.custom_types import VariableType

loader = DictLoader.load({"a": 1, "b": 2.22})


class Config(BaseConfig):
    a: VariableType[int] = ConfigVar("a", loader)
    b: VariableType[float] = ConfigVar("b", loader)


conf = Config()
# You will get float functions suggestions from IDE if you use it like that!
conf.b.value.as_integer_ratio()

Supported formats

Config formats:

• Yaml
• Json (strings or files)
• Environment variables
• Pythons dictionaries
• Composite loading from multiple simple loaders

Features

• Loading configs from multiple sources
• Creating custom loaders and variables types
• Nested configs
• Flexible configs definition
• Config values validations
• Casting variables values to specific types using functions
• Casting to acceptable variable type before dumping variable to loader
• Default values for per loader or per variable
• Translating one config loaders data to other (with or without including default values for each one)
• Composite loaders that allow you to define where to look up values using only one loader, that handles combining others