# 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
from ask_sdk_model.cause import Cause


if typing.TYPE_CHECKING:
    from typing import Dict, List, Optional, Union, Any
    from datetime import datetime
    from ask_sdk_model.status import Status as Status_7705e43e


class ConnectionCompleted(Cause):
    """
    Represents the status and result needed to resume a skill's suspended session.


    :param token: This is an echo back string that skills send when during Connections.StartConnection directive. They will receive it when they get the SessionResumedRequest. It is never sent to the skill handling the request.
    :type token: (optional) str
    :param status: 
    :type status: (optional) ask_sdk_model.status.Status
    :param result: This is the result object to resume the skill's suspended session.
    :type result: (optional) object

    """
    deserialized_types = {
        'object_type': 'str',
        'token': 'str',
        'status': 'ask_sdk_model.status.Status',
        'result': 'object'
    }  # type: Dict

    attribute_map = {
        'object_type': 'type',
        'token': 'token',
        'status': 'status',
        'result': 'result'
    }  # type: Dict
    supports_multiple_types = False

    def __init__(self, token=None, status=None, result=None):
        # type: (Optional[str], Optional[Status_7705e43e], Optional[object]) -> None
        """Represents the status and result needed to resume a skill's suspended session.

        :param token: This is an echo back string that skills send when during Connections.StartConnection directive. They will receive it when they get the SessionResumedRequest. It is never sent to the skill handling the request.
        :type token: (optional) str
        :param status: 
        :type status: (optional) ask_sdk_model.status.Status
        :param result: This is the result object to resume the skill's suspended session.
        :type result: (optional) object
        """
        self.__discriminator_value = "ConnectionCompleted"  # type: str

        self.object_type = self.__discriminator_value
        super(ConnectionCompleted, self).__init__(object_type=self.__discriminator_value)
        self.token = token
        self.status = status
        self.result = result

    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, ConnectionCompleted):
            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