from nltk.corpus import words


class TextHelper:

    @classmethod
    def has_words(cls, text: str):
        if not cls._has_common_words(text):
            return False
        english_words = set(words.words())
        words_in_input = text.split()
        return any(word.lower() in english_words for word in words_in_input)

    @classmethod
    def has_x_words(cls, text: str, quantity):
        if not cls._has_common_words(text):
            return False
        english_words = set(words.words())
        words_in_input = text.split()
        english_word_count = sum(1 for word in words_in_input if word.lower() in english_words)
        return english_word_count >= quantity

    @staticmethod
    def _has_common_words(text: str):
        english_words = {"the", "be", "to", "of", "and", "a", "in", "that", "have", "i"}
        words_in_input = text.split()
        english_word_count = sum(1 for word in words_in_input if word.lower() in english_words)
        return english_word_count >= 10