# coding: utf-8
"""
IoT TS Aggregates API
The aggregate service enables querying aggregated time series data including * aggregates generated on the fly * aggregates pre-calculated during ingest Depending on, if entity is performance or simulation entity, different aggregation intervals are supported. ### Performance Entity Pre-calculated aggregates are available in the following intervals * 2 minute * 1 hour * 1 day Intervals smaller than 2 minutes are also available and generated on the fly. ### Simulation Entity Pre-calculated aggregates are available in the following intervals * 1 millisecond * 10 millisecond * 1 second On the fly aggregation is not supported for simulation entities. Note: There might be time series data ingested in the past for which pre-calculated aggregates have not been computed. In that case for simulation entities, no aggregated data is returned. # noqa: E501
"""
import pprint
import re
import six
from mindsphere_core.exceptions import MindsphereClientError
[docs]class Badrequest(object):
"""
Attributes:
attribute_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.
"""
attribute_types = {
'id': 'str',
'message': 'str'
}
attribute_map = {
'id': 'id',
'message': 'message'
}
def __init__(self, id=None, message=None):
self._id = id
self._message = message
self.discriminator = None
@property
def id(self):
"""Gets the id of this Badrequest.
:return: The id of this Badrequest.
:rtype: str
"""
return self._id
@id.setter
def id(self, id):
"""Sets the id of this Badrequest.
:param id: The id of this Badrequest.
:type: str
"""
self._id = id
@property
def message(self):
"""Gets the message of this Badrequest.
:return: The message of this Badrequest.
:rtype: str
"""
return self._message
@message.setter
def message(self, message):
"""Sets the message of this Badrequest.
:param message: The message of this Badrequest.
:type: str
"""
self._message = message
[docs] def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.attribute_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(Badrequest, dict):
for key, value in self.items():
result[key] = value
return result
[docs] 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, Badrequest):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other