ConfigFramework 1.1.2

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 same time powerful enough tool to create configs, validate them somewhat and to have easy interface.

Here's basic example:

from ConfigFramework import ConfigVariable, JSONFileConfigLoader, BaseConfig

json_loader = JSONFileConfigLoader.load("example_config.json", defaults={"sample_default": 2*2})

class Config(BaseConfig):
    field1 = ConfigVariable.variable("var1", json_loader)
    field2 = ConfigVariable.variable("var23", json_loader, caster=str, dump_caster=int)
    sample_default = ConfigVariable.variable("sample_default", json_loader)

    def __post_init__(self, *args, **kwargs):
        print(self.field2)
        self.field2.value = "123"

conf = Config()
conf.dump()

See full example with explanation here

Installing

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

pip install ConfigFramework

Build your own config loaders and casters

The way ConfigFramework been built allowing you to just inherit your own loaders like that

from ConfigFramework import AbstractConfigLoader

def load_from_internet() -> dict:
    ...

def upload_to_cloud(data):
    ...

class NewCustomConfigLoader(AbstractConfigLoader):
    @classmethod
    def load(cls, defaults=None):
        data: dict = load_from_internet()
        return cls(data, defaults)

    def dump(self):
        upload_to_cloud(self.data)

If you feel like you need some custom data type for your loader - why not to make it? You will only need to write functions that will cast data to pythons type and back to savable format!

from ConfigFramework import BaseConfig, ConfigVariable, JSONFileConfigLoader

loader = JSONFileConfigLoader.load("example_json.json")

class MyCustomType:
    def __init__(self, data):
        self.your_data = data

    @classmethod
    def load_from_string(cls, serialized: str):
        ...
        data = serialized
        return cls(data)

    def dump(self) -> str:
        ...


class Config(BaseConfig):
    variable_1 = ConfigVariable.variable(
        "example_var", loader,
        caster=MyCustomType.load_from_string, dump_caster=MyCustomType.dump
    )    

You may also want to cast one config to other type and i allow you to! Look at how easy it is:

from ConfigFramework import YAMLConfigLoader, JSONFileConfigLoader

yaml_loader = YAMLConfigLoader.load("testing.yaml")
json_loader = JSONFileConfigLoader.load("testing.json")

new_loader = json_loader.dump_to_other_loader(yaml_loader)

But keep in mind that not all types are easily translated over formats (for example arrays and mappings) but you may write serializers if you need!

Out of the box you also may combine multiple ConfigLoaders: see in combined config loaders example

If you need some default type casters (for example if you loading ini file) - you may use one's from ConfigFramework.custom_types.casters.Casters

Some more examples here

Configuring

ConfigFramework have its own config, but there's not too much things you might need at the end. Yet if you won't set EnvironmentConfigLoader.mute_warning to False - you'll be getting warning when creating EnvironmentConfigLoader about need in casters for everything and not being able to dump loader itself somewhere. Also it can help you set a path for log files.

If you need to change location of config file - just set an environment variable CONFIGFRAMEWORK_SETTINGS_PATH to your liking with full path to logs file.