import pickle


def load_record(pickle_fname):
    with open(pickle_fname, 'rb') as f:
        d = pickle.load(f)
    return d


class VocabularyLevelEstimator:
    _test = load_record('static/words_and_tests.p')  # map a word to the sources where it appears

    @property
    def level(self):
        if self.word_lst == []:
            return 0
        total = 0.0  # TODO: need to compute this number
        num = 0
        for word in self.word_lst:
            num += 1
            if word in self._test:
                total += len(self._test[word])
                print(f'{word} : {self._test[word]}')
            else:
                print(f'{word}')
        return total / num


class UserVocabularyLevel(VocabularyLevelEstimator):
    def __init__(self, d):
        self.d = d
        self.word_lst = list(d.keys())
        # just look at the most recently-added words


class ArticleVocabularyLevel(VocabularyLevelEstimator):
    def __init__(self, content):
        self.content = content
        self.word_lst = content.lower().split()
        # select the 10 most difficult words

    def top_ten_difficult_words(self):
        pass


if __name__ == '__main__':
    d = load_record('frequency_arnold.pickle')
    # print(d)
    user = UserVocabularyLevel(d)
    print(user.level)  # level is a property
    article = ArticleVocabularyLevel('This is an interesting article that frequently uses the word "banana".')
    print(article.level)