# 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 Aggregates(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 = {
'starttime': 'datetime',
'endtime': 'datetime'
}
attribute_map = {
'starttime': 'starttime',
'endtime': 'endtime'
}
def __init__(self, starttime=None, endtime=None):
self._starttime = starttime
self._endtime = endtime
self.discriminator = None
@property
def starttime(self):
"""Gets the starttime of this Aggregates.
start time of the interval (exclusive)
:return: The starttime of this Aggregates.
:rtype: datetime
"""
return self._starttime
@starttime.setter
def starttime(self, starttime):
"""Sets the starttime of this Aggregates.
start time of the interval (exclusive)
:param starttime: The starttime of this Aggregates.
:type: datetime
"""
self._starttime = starttime
@property
def endtime(self):
"""Gets the endtime of this Aggregates.
end time of the interval (inclusive)
:return: The endtime of this Aggregates.
:rtype: datetime
"""
return self._endtime
@endtime.setter
def endtime(self, endtime):
"""Sets the endtime of this Aggregates.
end time of the interval (inclusive)
:param endtime: The endtime of this Aggregates.
:type: datetime
"""
self._endtime = endtime
[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(Aggregates, 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, Aggregates):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other