import json

from interactions.models import (
    SelfAnswerGroup,
)


def update_dict_with_score(valid_dict: list) -> list:
    """ Updates the dict (from single and multiple_result_view) with
    the scores of each user present in the list, by calculating their
    ``answer_choice`` and multiplying them with corresponding
    question factors. """

    for dictionary in valid_dict:
        answer_group = SelfAnswerGroup.objects.get(
            pk=dictionary['answer_group_pk']
        )
        scores = answer_group.scores
        dictionary.update({'score': scores})

    return valid_dict


def update_percentage_deviation(valid_dict: list) -> list:
    for dictionary in valid_dict:
        if dictionary['master']:
            focus = dictionary['score']  # type: dict
    for dictionary in valid_dict:
        score = dictionary['score']
        deviation_dict = {}
        for subclass in score:
            deviation = abs(score[subclass]-focus[subclass])
            deviation_dict.update({subclass: deviation})
        dictionary.update({'deviation': deviation_dict})

    return valid_dict

import json

from interactions.models import (
    SelfAnswerGroup,
)


def update_dict_with_score(valid_dict: list) -> list:
    """ Updates the dict (from single and multiple_result_view) with
    the scores of each user present in the list, by calculating their
    ``answer_choice`` and multiplying them with corresponding
    question factors. """

    for dictionary in valid_dict:
        answer_group = SelfAnswerGroup.objects.get(
            pk=dictionary['answer_group_pk']
        )
        scores = answer_group.scores
        dictionary.update({'score': scores})

    return valid_dict


def update_percentage_deviation(valid_dict: list) -> list:
    for dictionary in valid_dict:
        if dictionary['master']:
            focus = dictionary['score']  # type: dict
    for dictionary in valid_dict:
        score = dictionary['score']
        deviation_dict = {}
        for subclass in score:
            deviation = abs(score[subclass]-focus[subclass])
            deviation_dict.update({subclass: deviation})
        dictionary.update({'deviation': deviation_dict})

    return valid_dict

Updates the dict (from single and multiple_result_view) with     the scores of each user present in the list, by calculating their     ``answer_choice`` and multiplying them with corresponding     question factors. # type: dict