import jsgf


class NaturalLanguageAnalyzer:
    # def process(self, text):
    #     user_act = None
    #     if ("imie" in text or "imię" in text) and "?" in text:
    #         user_act = "request(firstname)"
    #     return user_act

    def process(self, text):
        with open('grammar.jsgf', 'r', encoding='utf-8') as f:
            content = f.read()
        book_grammar = jsgf.parse_grammar_string(content)
        matched = book_grammar.find_matching_rules(text)
        if matched:
            return self.get_dialog_act(matched[0])
        else:
            return {'act': 'null', 'slots': []}

    def get_slots(self, expansion, slots):
        if expansion.tag != '':
            slots.append((expansion.tag, expansion.current_match))
            return

        for child in expansion.children:
            self.get_slots(child, slots)

        if not expansion.children and isinstance(expansion, jsgf.NamedRuleRef):
            self.get_slots(expansion.referenced_rule.expansion, slots)

    def get_dialog_act(self, rule):
        slots = []
        self.get_slots(rule.expansion, slots)
        return {'act': rule.grammar.name, 'slots': slots}