# 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.interfaces.alexa.presentation.html.transformer_type import TransformerType as TransformerType_656f5c23


class Transformer(object):
    """
    Properties for performing text to speech transformations. These are the same properties that [APL transformers](https://developer.amazon.com/docs/alexa-presentation-language/apl-data-source.html#transformer-properties-and-conversion-rules) use. 


    :param transformer: 
    :type transformer: (optional) ask_sdk_model.interfaces.alexa.presentation.html.transformer_type.TransformerType
    :param input_path: A JSON path that points to either a single entity in the message object, or a set of entities using wildcard or unresolved arrays. Examples 'family[*].name', 'address.street'. See [APL transformer properties](https://developer.amazon.com/docs/alexa-presentation-language/apl-data-source.html#transformer-properties-and-conversion-rules) for more details. 
    :type input_path: (optional) str
    :param output_name: Name of the output property to add to the message object. For example, if the inputPath is \"address.street\", the transformer output will be stored at \"address.outputName\". If no outputName is supplied, the transformer output will override the value at inputPath. 
    :type output_name: (optional) str

    """
    deserialized_types = {
        'transformer': 'ask_sdk_model.interfaces.alexa.presentation.html.transformer_type.TransformerType',
        'input_path': 'str',
        'output_name': 'str'
    }  # type: Dict

    attribute_map = {
        'transformer': 'transformer',
        'input_path': 'inputPath',
        'output_name': 'outputName'
    }  # type: Dict
    supports_multiple_types = False

    def __init__(self, transformer=None, input_path=None, output_name=None):
        # type: (Optional[TransformerType_656f5c23], Optional[str], Optional[str]) -> None
        """Properties for performing text to speech transformations. These are the same properties that [APL transformers](https://developer.amazon.com/docs/alexa-presentation-language/apl-data-source.html#transformer-properties-and-conversion-rules) use. 

        :param transformer: 
        :type transformer: (optional) ask_sdk_model.interfaces.alexa.presentation.html.transformer_type.TransformerType
        :param input_path: A JSON path that points to either a single entity in the message object, or a set of entities using wildcard or unresolved arrays. Examples 'family[*].name', 'address.street'. See [APL transformer properties](https://developer.amazon.com/docs/alexa-presentation-language/apl-data-source.html#transformer-properties-and-conversion-rules) for more details. 
        :type input_path: (optional) str
        :param output_name: Name of the output property to add to the message object. For example, if the inputPath is \"address.street\", the transformer output will be stored at \"address.outputName\". If no outputName is supplied, the transformer output will override the value at inputPath. 
        :type output_name: (optional) str
        """
        self.__discriminator_value = None  # type: str

        self.transformer = transformer
        self.input_path = input_path
        self.output_name = output_name

    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, Transformer):
            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