# Deprecated — Common Python Library documentation

# Deprecated

## Table of Contents

1. ConfigurationModelABC.from_dict

## ConfigurationModelABC from_dict method

We now process the configuration models directly in the configuration by recursive parameter parsing.

The JSONProcessor now goes through the JSON and the arguments of the init and links the attributes by name from the JSON and the name of the keyword argument. Now, based on the type, either simply assigns the value. With a `dict` the processor is called recursively and so the JSON is processed further. This way nested ConfigurationModels can be processed.

For this the code must be adapted as follows:

From this:

    class VersionSettings(ConfigurationModelABC):

        def __init__(self):
            ConfigurationModelABC.__init__(self)

            self.major: Optional[str] = "0"
            self.minor: Optional[str] = "0"
            self.micro: Optional[str] = "0"

        def from_dict(self, settings: dict):
            self.major = settings["Major"]
            self.minor = settings["Minor"]
            micro = settings["Micro"]
            if micro != '':
                self.micro = micro

To this:

    class VersionSettings(ConfigurationModelABC):
        def __init__(self, major: str = None, minor: str = None, micro: str = None):
            ConfigurationModelABC.__init__(self)

            self.major: Optional[str] = major
            self.minor: Optional[str] = minor
            self.micro: Optional[str] = micro if micro != "" else None

This makes the from_dict function obsolete.

A few rules must be observed:

- Only simple types can be processed
  Wrong: `dict[str, str]`
  Correct: `dict`
  Incorrect: `list[str]`
  Correct: `list`

- The arguments must be optional, i.e. created as kwargs
  Incorrect: `def __init__(self, x: int, y: int)`
  Correct: `def __init__(self, x: int = None, y: int = None)`