#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# TODO shouldn't generate twice the same statement

from chatette_qiu.utils import print_DBG, remove_duplicates


class Generator(object):
    """
    Using the info parsed from the input file, this class will generate
    a Rasa NLU dataset and dump it in a JSON file.
    If there were inconsistencies in the input file, they are likely to be
    detected here.
    """
    DEFAULT_MAX_NB_INTENT_EXAMPLES = 1000000000  # TODO: this might not be relevant anymore

    def __init__(self, parser):
        self.parser = parser
        self.max_nb_single_intent_examples = \
            Generator.DEFAULT_MAX_NB_INTENT_EXAMPLES

    def set_max_nb_single_intent_examples(self, new_max):
        self.max_nb_single_intent_examples = new_max

    def generate_train(self):
        print_DBG("Generating training examples...")
        for intent_name in self.parser.intent_definitions:
            intent = self.parser.intent_definitions[intent_name]
            examples = intent.generate(self.max_nb_single_intent_examples)
            for example in examples:
                yield example

    def generate_test(self, training_examples=None):
        should_generate_test_set = False

        for intent_name in self.parser.intent_definitions:
            if self.parser.intent_definitions[intent_name].nb_testing_examples_asked is not None:
                should_generate_test_set = True
                break

        if should_generate_test_set:
            print_DBG("Generating testing examples...")
            for intent_name in self.parser.intent_definitions:
                intent = self.parser.intent_definitions[intent_name]
                examples = intent.generate(self.max_nb_single_intent_examples, training_examples)
                for example in examples:
                    yield example

    def get_entities_synonyms(self):
        """
        Makes a dict of all the synonyms of entities
        based on the slot value they are assigned.
        """
        synonyms = dict()
        for slot_definition in self.parser.slot_definitions:
            current_synonyms_dict = \
                self.parser.slot_definitions[slot_definition].get_synonyms_dict()
            for slot_value in current_synonyms_dict:
                if slot_value not in synonyms:
                    synonyms[slot_value] = current_synonyms_dict[slot_value]
                else:
                    synonyms[slot_value].extend(current_synonyms_dict[slot_value])
        return remove_duplicates(synonyms)


if __name__ == "__main__":
    # pylint: disable=wrong-import-position
    # pylint: disable=wrong-import-order
    import warnings

    warnings.warn("You are running the wrong file ('generator.py')." +
                  "The file that should be run is '__main__.py'.")

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# TODO shouldn't generate twice the same statement

from chatette_qiu.utils import print_DBG, remove_duplicates


class Generator(object):
    """
    Using the info parsed from the input file, this class will generate
    a Rasa NLU dataset and dump it in a JSON file.
    If there were inconsistencies in the input file, they are likely to be
    detected here.
    """
    DEFAULT_MAX_NB_INTENT_EXAMPLES = 1000000000  # TODO: this might not be relevant anymore

    def __init__(self, parser):
        self.parser = parser
        self.max_nb_single_intent_examples = \
            Generator.DEFAULT_MAX_NB_INTENT_EXAMPLES

    def set_max_nb_single_intent_examples(self, new_max):
        self.max_nb_single_intent_examples = new_max

    def generate_train(self):
        print_DBG("Generating training examples...")
        for intent_name in self.parser.intent_definitions:
            intent = self.parser.intent_definitions[intent_name]
            examples = intent.generate(self.max_nb_single_intent_examples)
            for example in examples:
                yield example

    def generate_test(self, training_examples=None):
        should_generate_test_set = False

        for intent_name in self.parser.intent_definitions:
            if self.parser.intent_definitions[intent_name].nb_testing_examples_asked is not None:
                should_generate_test_set = True
                break

        if should_generate_test_set:
            print_DBG("Generating testing examples...")
            for intent_name in self.parser.intent_definitions:
                intent = self.parser.intent_definitions[intent_name]
                examples = intent.generate(self.max_nb_single_intent_examples, training_examples)
                for example in examples:
                    yield example

    def get_entities_synonyms(self):
        """
        Makes a dict of all the synonyms of entities
        based on the slot value they are assigned.
        """
        synonyms = dict()
        for slot_definition in self.parser.slot_definitions:
            current_synonyms_dict = \
                self.parser.slot_definitions[slot_definition].get_synonyms_dict()
            for slot_value in current_synonyms_dict:
                if slot_value not in synonyms:
                    synonyms[slot_value] = current_synonyms_dict[slot_value]
                else:
                    synonyms[slot_value].extend(current_synonyms_dict[slot_value])
        return remove_duplicates(synonyms)


if __name__ == "__main__":
    # pylint: disable=wrong-import-position
    # pylint: disable=wrong-import-order
    import warnings

    warnings.warn("You are running the wrong file ('generator.py')." +
                  "The file that should be run is '__main__.py'.")

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # TODO shouldn't generate twice the same statement Using the info parsed from the input file, this class will generate     a Rasa NLU dataset and dump it in a JSON file.     If there were inconsistencies in the input file, they are likely to be     detected here. # TODO: this might not be relevant anymore Makes a dict of all the synonyms of entities         based on the slot value they are assigned. # pylint: disable=wrong-import-position # pylint: disable=wrong-import-order