# 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
    from datetime import datetime
    from ask_smapi_model.v1.skill.evaluations.dialog_act import DialogActV1


class MultiTurn(object):
    """
    Included when the selected intent has dialog defined and the dialog is not completed.  To continue the dialog, provide the value of the token in the multiTurnToken field in the next request. 


    :param dialog_act: 
    :type dialog_act: (optional) ask_smapi_model.v1.skill.evaluations.dialog_act.DialogAct
    :param token: Opaque string which contains multi-turn related context.
    :type token: (optional) str
    :param prompt: A sample prompt defined in the dialog model for each DialogAct.
    :type prompt: (optional) str

    """
    deserialized_types = {
        'dialog_act': 'ask_smapi_model.v1.skill.evaluations.dialog_act.DialogAct',
        'token': 'str',
        'prompt': 'str'
    }  # type: Dict

    attribute_map = {
        'dialog_act': 'dialogAct',
        'token': 'token',
        'prompt': 'prompt'
    }  # type: Dict
    supports_multiple_types = False

    def __init__(self, dialog_act=None, token=None, prompt=None):
        # type: (Optional[DialogActV1], Optional[str], Optional[str]) -> None
        """Included when the selected intent has dialog defined and the dialog is not completed.  To continue the dialog, provide the value of the token in the multiTurnToken field in the next request. 

        :param dialog_act: 
        :type dialog_act: (optional) ask_smapi_model.v1.skill.evaluations.dialog_act.DialogAct
        :param token: Opaque string which contains multi-turn related context.
        :type token: (optional) str
        :param prompt: A sample prompt defined in the dialog model for each DialogAct.
        :type prompt: (optional) str
        """
        self.__discriminator_value = None  # type: str

        self.dialog_act = dialog_act
        self.token = token
        self.prompt = prompt

    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, MultiTurn):
            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
