huaweicloud-sdk-python-v3/huaweicloud-sdk-ces/huaweicloudsdkces/v1/model/datapoint.py

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2020-05-18 07:34:40 +00:00
# coding: utf-8
import pprint
import re
import six
class Datapoint(object):
"""
Attributes:
openapi_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.
"""
sensitive_list = []
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openapi_types = {
'average': 'float',
'timestamp': 'int',
'unit': 'str'
}
attribute_map = {
'average': 'average',
'timestamp': 'timestamp',
'unit': 'unit'
}
def __init__(self, average=None, timestamp=None, unit=None): # noqa: E501
"""Datapoint - a model defined in huaweicloud sdk"""
self._average = None
self._timestamp = None
self._unit = None
self.discriminator = None
self.average = average
self.timestamp = timestamp
if unit is not None:
self.unit = unit
@property
def average(self):
"""Gets the average of this Datapoint.
指标值该字段名称与请求参数中filter使用的查询值相同
:return: The average of this Datapoint.
:rtype: float
"""
return self._average
@average.setter
def average(self, average):
"""Sets the average of this Datapoint.
指标值该字段名称与请求参数中filter使用的查询值相同
:param average: The average of this Datapoint.
:type: float
"""
self._average = average
@property
def timestamp(self):
"""Gets the timestamp of this Datapoint.
指标采集时间
:return: The timestamp of this Datapoint.
:rtype: int
"""
return self._timestamp
@timestamp.setter
def timestamp(self, timestamp):
"""Sets the timestamp of this Datapoint.
指标采集时间
:param timestamp: The timestamp of this Datapoint.
:type: int
"""
self._timestamp = timestamp
@property
def unit(self):
"""Gets the unit of this Datapoint.
指标单位
:return: The unit of this Datapoint.
:rtype: str
"""
return self._unit
@unit.setter
def unit(self, unit):
"""Sets the unit of this Datapoint.
指标单位
:param unit: The unit of this Datapoint.
:type: str
"""
self._unit = unit
def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_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:
if attr in self.sensitive_list:
result[attr] = "****"
else:
result[attr] = value
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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, Datapoint):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other