def as_json()

in pipeline/common/datasets.py [0:0]

• 18 lines of code
• 9 McCabe index (conditional complexity)

    def as_json(root: Union[int, str, float, list, "Statistics"]) -> Union[int, str, float, list]:
        """
        Recursively walk the data attributes of the statistics.
        """
        if Statistics._is_subclass(root):
            stats: Statistics = root
            stats.update_derived_data()
            obj = {}
            for key, value in stats.__dict__.items():
                if key.startswith("_"):
                    continue
                obj[key] = Statistics.as_json(value)

            return obj

        if isinstance(root, list):
            return [Statistics.as_json(item) for item in root]

        if isinstance(root, dict):
            root_dict: dict = root
            return {key: Statistics.as_json(value) for key, value in root_dict.items()}

        if isinstance(root, (float, int, str)):
            return root

        return str(root)