Files
2020-11-15 09:30:50 +01:00

194 lines
5.8 KiB
Python

# coding: utf-8
"""
Groupe PSA Connected Car - WEB API B2C
*PSA B2C Connected Car API* # Introduction This is the description of the *Groupe PSA Connected Car V2 API*. The speccification is is based on **OpenAPI Specification version 3** and can be displayed via [ReDoc](https://github.com/Rebilly/ReDoc)a or [Swagger](http://swagger.io). This API allows applications to fetch data from the connected Vehicles data platform. # Authentication PSA Connected Car APIs uses the [OAuth 2.0](https://tools.ietf.org/html/rfc6749) protocol for authentication and Authorization. any application require a valid [Access Token](https://tools.ietf.org/html/rfc6749#section-1.4) to access to user data. # Errors Error codes returned by all REST APIs comply with the standard. Nevertheless, PSA Services (callers) need to have more complete data structures (even when the answer is not Http-OK) to better detail the type of error by providing application code, message and a debugging code(for investigation purposes). The http code of the response is managed by the protocol itself (in the header). **Errors are returned as a generic error response:** * ```xError``` object model. # noqa: E501
OpenAPI spec version: 4.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class Kinetic(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
swagger_types = {
'acceleration': 'float',
'moving': 'bool',
'pace': 'float',
'speed': 'float'
}
attribute_map = {
'acceleration': 'acceleration',
'moving': 'moving',
'pace': 'pace',
'speed': 'speed'
}
def __init__(self, acceleration=None, moving=None, pace=None, speed=None): # noqa: E501
"""Kinetic - a model defined in Swagger""" # noqa: E501
self._acceleration = None
self._moving = None
self._pace = None
self._speed = None
self.discriminator = None
if acceleration is not None:
self.acceleration = acceleration
if moving is not None:
self.moving = moving
if pace is not None:
self.pace = pace
if speed is not None:
self.speed = speed
@property
def acceleration(self):
"""Gets the acceleration of this Kinetic. # noqa: E501
:return: The acceleration of this Kinetic. # noqa: E501
:rtype: float
"""
return self._acceleration
@acceleration.setter
def acceleration(self, acceleration):
"""Sets the acceleration of this Kinetic.
:param acceleration: The acceleration of this Kinetic. # noqa: E501
:type: float
"""
self._acceleration = acceleration
@property
def moving(self):
"""Gets the moving of this Kinetic. # noqa: E501
:return: The moving of this Kinetic. # noqa: E501
:rtype: bool
"""
return self._moving
@moving.setter
def moving(self, moving):
"""Sets the moving of this Kinetic.
:param moving: The moving of this Kinetic. # noqa: E501
:type: bool
"""
self._moving = moving
@property
def pace(self):
"""Gets the pace of this Kinetic. # noqa: E501
:return: The pace of this Kinetic. # noqa: E501
:rtype: float
"""
return self._pace
@pace.setter
def pace(self, pace):
"""Sets the pace of this Kinetic.
:param pace: The pace of this Kinetic. # noqa: E501
:type: float
"""
self._pace = pace
@property
def speed(self):
"""Gets the speed of this Kinetic. # noqa: E501
:return: The speed of this Kinetic. # noqa: E501
:rtype: float
"""
return self._speed
@speed.setter
def speed(self, speed):
"""Sets the speed of this Kinetic.
:param speed: The speed of this Kinetic. # noqa: E501
:type: float
"""
self._speed = speed
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.swagger_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
))
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,
value.items()
))
else:
result[attr] = value
if issubclass(Kinetic, dict):
for key, value in self.items():
result[key] = value
return result
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, Kinetic):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other