How to use the textstat.textstat.textstat.flesch_reading_ease function in textstat

def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

        self.content_chars = aggregators.len(
            self.datasources.content,
            name=self._name + ".content_chars"
        )
        """
        `int` : The number of characters of viewable content (no markup or
        templates
        """

        self.flesh_kincaid = Feature(
            self._name + ".flesh_kincaid",
            textstat.flesch_reading_ease,
            depends_on=[self.datasources.content],
            returns=float
        )
        """
        `float` : returns the Flesch reading ease score.
        (https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests)
        """

        self.headings = aggregators.len(
            self.datasources.headings,
            name=self._name + ".headings"
        )
        "`int` : The number of headings"

        self.external_links = aggregators.len(
            self.datasources.external_links,

def _get_reading_stats(no_code_text):
    """
    Returns reading level information
    :param no_code_text: String to analyse
    :return: list of details
    """
    group_by = 'Reading Level Analysis '
    results = []
    results.append(TextFeature('Flesch Reading Ease', textstat.flesch_reading_ease(no_code_text), group_by))        # higher is better, scale 0 to 100
    results.append(TextFeature('Flesch-Kincaid Grade Level', textstat.flesch_kincaid_grade(no_code_text), group_by))
    try:
        results.append(TextFeature('The Fog Scale (Gunning FOG formula)', textstat.gunning_fog(no_code_text), group_by))
    except IndexError:  # Not sure why, but this test throws this error sometimes
        results.append(TextFeature('The Fog Scale (Gunning FOG formula)', "Undetermined", group_by))
    try:
        results.append(TextFeature('The SMOG Index', textstat.smog_index(no_code_text), group_by))
    except IndexError:  # Not sure why, but this test throws this error sometimes
        results.append(TextFeature('The SMOG Index', "Undetermined", group_by))
    results.append(TextFeature('Automated Readability Index', textstat.automated_readability_index(no_code_text), group_by))
    results.append(TextFeature('The Coleman-Liau Index', textstat.coleman_liau_index(no_code_text), group_by))
    try:
        results.append(TextFeature('Linsear Write Formula', textstat.linsear_write_formula(no_code_text), group_by))
    except IndexError:
        results.append(TextFeature('Linsear Write Formula', "Undetermined", group_by))
    try:

def get_feat_readability_metrics(self):
        # https://github.com/shivam5992/textstat

        try:
            test_data = self.webscrap.get_body()
            out = []
            out.append(textstat.flesch_reading_ease(test_data))
            out.append(textstat.smog_index(test_data))
            out.append(textstat.flesch_kincaid_grade(test_data))
            out.append(textstat.coleman_liau_index(test_data))
            out.append(textstat.automated_readability_index(test_data))
            out.append(textstat.dale_chall_readability_score(test_data))
            out.append(textstat.difficult_words(test_data))
            out.append(textstat.linsear_write_formula(test_data))
            out.append(textstat.gunning_fog(test_data))
            #out.append(textstat.text_standard(test_data))
            return out, False

        except Exception as e:
            config.logger.error(repr(e))
            return MISSING_FEATURE * 9, True