# 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_sdk_model.request import Request as Request_601a68c0
    from ask_sdk_model.context import Context as Context_d885cf00
    from ask_sdk_model.session import Session as Session_c56c91ce


class RequestEnvelope(object):
    """
    Request wrapper for all requests sent to your Skill.


    :param version: The version specifier for the request.
    :type version: (optional) str
    :param session: The session object provides additional context associated with the request.
    :type session: (optional) ask_sdk_model.session.Session
    :param context: The context object provides your skill with information about the current state of the Alexa service and device at the time the request is sent to your service. This is included on all requests. For requests sent in the context of a session (LaunchRequest and IntentRequest), the context object duplicates the user and application information that is also available in the session.
    :type context: (optional) ask_sdk_model.context.Context
    :param request: A request object that provides the details of the user’s request.
    :type request: (optional) ask_sdk_model.request.Request

    """
    deserialized_types = {
        'version': 'str',
        'session': 'ask_sdk_model.session.Session',
        'context': 'ask_sdk_model.context.Context',
        'request': 'ask_sdk_model.request.Request'
    }  # type: Dict

    attribute_map = {
        'version': 'version',
        'session': 'session',
        'context': 'context',
        'request': 'request'
    }  # type: Dict
    supports_multiple_types = False

    def __init__(self, version=None, session=None, context=None, request=None):
        # type: (Optional[str], Optional[Session_c56c91ce], Optional[Context_d885cf00], Optional[Request_601a68c0]) -> None
        """Request wrapper for all requests sent to your Skill.

        :param version: The version specifier for the request.
        :type version: (optional) str
        :param session: The session object provides additional context associated with the request.
        :type session: (optional) ask_sdk_model.session.Session
        :param context: The context object provides your skill with information about the current state of the Alexa service and device at the time the request is sent to your service. This is included on all requests. For requests sent in the context of a session (LaunchRequest and IntentRequest), the context object duplicates the user and application information that is also available in the session.
        :type context: (optional) ask_sdk_model.context.Context
        :param request: A request object that provides the details of the user’s request.
        :type request: (optional) ask_sdk_model.request.Request
        """
        self.__discriminator_value = None  # type: str

        self.version = version
        self.session = session
        self.context = context
        self.request = request

    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, RequestEnvelope):
            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
