# coding: utf-8

#
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file
# except in compliance with the License. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for
# the specific language governing permissions and limitations under the License.
#

import pprint
import re  # noqa: F401
import six
import typing
from enum import Enum


if typing.TYPE_CHECKING:
    from typing import Dict, List, Optional, Union, Any
    from datetime import datetime
    from ask_smapi_model.v1.skill.interaction_model.intent import Intent as Intent_40cc0d96
    from ask_smapi_model.v1.skill.interaction_model.model_configuration import ModelConfiguration as ModelConfiguration_8fc09c73
    from ask_smapi_model.v1.skill.interaction_model.slot_type import SlotType as SlotType_4f0557e3


class LanguageModel(object):
    """
    Define the language model.


    :param invocation_name: Invocation name of the skill.
    :type invocation_name: (optional) str
    :param types: 
    :type types: (optional) list[ask_smapi_model.v1.skill.interaction_model.slot_type.SlotType]
    :param intents: 
    :type intents: (optional) list[ask_smapi_model.v1.skill.interaction_model.intent.Intent]
    :param model_configuration: 
    :type model_configuration: (optional) ask_smapi_model.v1.skill.interaction_model.model_configuration.ModelConfiguration

    """
    deserialized_types = {
        'invocation_name': 'str',
        'types': 'list[ask_smapi_model.v1.skill.interaction_model.slot_type.SlotType]',
        'intents': 'list[ask_smapi_model.v1.skill.interaction_model.intent.Intent]',
        'model_configuration': 'ask_smapi_model.v1.skill.interaction_model.model_configuration.ModelConfiguration'
    }  # type: Dict

    attribute_map = {
        'invocation_name': 'invocationName',
        'types': 'types',
        'intents': 'intents',
        'model_configuration': 'modelConfiguration'
    }  # type: Dict
    supports_multiple_types = False

    def __init__(self, invocation_name=None, types=None, intents=None, model_configuration=None):
        # type: (Optional[str], Optional[List[SlotType_4f0557e3]], Optional[List[Intent_40cc0d96]], Optional[ModelConfiguration_8fc09c73]) -> None
        """Define the language model.

        :param invocation_name: Invocation name of the skill.
        :type invocation_name: (optional) str
        :param types: 
        :type types: (optional) list[ask_smapi_model.v1.skill.interaction_model.slot_type.SlotType]
        :param intents: 
        :type intents: (optional) list[ask_smapi_model.v1.skill.interaction_model.intent.Intent]
        :param model_configuration: 
        :type model_configuration: (optional) ask_smapi_model.v1.skill.interaction_model.model_configuration.ModelConfiguration
        """
        self.__discriminator_value = None  # type: str

        self.invocation_name = invocation_name
        self.types = types
        self.intents = intents
        self.model_configuration = model_configuration

    def to_dict(self):
        # type: () -> Dict[str, object]
        """Returns the model properties as a dict"""
        result = {}  # type: Dict

        for attr, _ in six.iteritems(self.deserialized_types):
            value = getattr(self, attr)
            if isinstance(value, list):
                result[attr] = list(map(
                    lambda x: x.to_dict() if hasattr(x, "to_dict") else
                    x.value if isinstance(x, Enum) else x,
                    value
                ))
            elif isinstance(value, Enum):
                result[attr] = value.value
            elif hasattr(value, "to_dict"):
                result[attr] = value.to_dict()
            elif isinstance(value, dict):
                result[attr] = dict(map(
                    lambda item: (item[0], item[1].to_dict())
                    if hasattr(item[1], "to_dict") else
                    (item[0], item[1].value)
                    if isinstance(item[1], Enum) else item,
                    value.items()
                ))
            else:
                result[attr] = value

        return result

    def to_str(self):
        # type: () -> str
        """Returns the string representation of the model"""
        return pprint.pformat(self.to_dict())

    def __repr__(self):
        # type: () -> str
        """For `print` and `pprint`"""
        return self.to_str()

    def __eq__(self, other):
        # type: (object) -> bool
        """Returns true if both objects are equal"""
        if not isinstance(other, LanguageModel):
            return False

        return self.__dict__ == other.__dict__

    def __ne__(self, other):
        # type: (object) -> bool
        """Returns true if both objects are not equal"""
        return not self == other
