def robotsrulesetOfDomain(self, domain):
		'''检查domain是否在数据库中,
			否 --> (False, None)
			是 --> (True, 数据库中存储的robots.txt内容)
		'''
		exist = False
		cur = self.conn.cursor()
		# 是否存在
		cur.execute("SELECT 1 FROM Domains WHERE domain=?", (domain,))
		if cur.fetchone() :
			exist = True
		# 存在的话,结果是什么
		cur.execute("SELECT rules FROM Domains,Rulesets "
			"WHERE domain=? AND Domains.did=Rulesets.did"
			,(domain,) )
		ruleset = cur.fetchone()
		return (exist, ruleset)
def test_convert_html_in_suggestion_change(self):
        html_content = (
            '<p>Value</p><oppia-noninteractive-math raw_latex-with-value="&a'
            'mp;quot;+,-,-,+&amp;quot;"></oppia-noninteractive-math>')
        expected_html_content = (
            '<p>Value</p><oppia-noninteractive-math math_content-with-value='
            '"{&amp;quot;raw_latex&amp;quot;: &amp;quot;+,-,-,+&amp;quot;, &'
            'amp;quot;svg_filename&amp;quot;: &amp;quot;&amp;quot;}"></oppia'
            '-noninteractive-math>')
        change_dict = {
            'cmd': exp_domain.CMD_ADD_WRITTEN_TRANSLATION,
            'state_name': 'Introduction',
            'content_id': 'content',
            'language_code': 'hi',
            'content_html': html_content,
            'translation_html': '<p>This is translated html.</p>',
            'data_format': 'html'
        }
        suggestion = suggestion_registry.SuggestionTranslateContent(
            self.suggestion_dict['suggestion_id'],
            self.suggestion_dict['target_id'],
            self.suggestion_dict['target_version_at_submission'],
            self.suggestion_dict['status'], self.author_id,
            self.reviewer_id, change_dict,
            self.suggestion_dict['score_category'],
            self.suggestion_dict['language_code'], False, self.fake_date)
        suggestion.convert_html_in_suggestion_change(
            html_validation_service.add_math_content_to_math_rte_components)
        self.assertEqual(
            suggestion.change.content_html, expected_html_content)