# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class Datapoint: """ 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 = [] openapi_types = { 'max': 'float', 'min': 'float', 'average': 'float', 'sum': 'float', 'variance': 'float', 'timestamp': 'int', 'unit': 'str' } attribute_map = { 'max': 'max', 'min': 'min', 'average': 'average', 'sum': 'sum', 'variance': 'variance', 'timestamp': 'timestamp', 'unit': 'unit' } def __init__(self, max=None, min=None, average=None, sum=None, variance=None, timestamp=None, unit=None): """Datapoint The model defined in huaweicloud sdk :param max: 聚合周期内指标数据的最大值。 :type max: float :param min: 聚合周期内指标数据的最小值。 :type min: float :param average: 聚合周期内指标数据的平均值。 :type average: float :param sum: 聚合周期内指标数据的求和值。 :type sum: float :param variance: 聚合周期内指标数据的方差。 :type variance: float :param timestamp: 指标采集时间,UNIX时间戳,单位毫秒。 :type timestamp: int :param unit: 指标单位。 :type unit: str """ self._max = None self._min = None self._average = None self._sum = None self._variance = None self._timestamp = None self._unit = None self.discriminator = None if max is not None: self.max = max if min is not None: self.min = min if average is not None: self.average = average if sum is not None: self.sum = sum if variance is not None: self.variance = variance self.timestamp = timestamp if unit is not None: self.unit = unit @property def max(self): """Gets the max of this Datapoint. 聚合周期内指标数据的最大值。 :return: The max of this Datapoint. :rtype: float """ return self._max @max.setter def max(self, max): """Sets the max of this Datapoint. 聚合周期内指标数据的最大值。 :param max: The max of this Datapoint. :type max: float """ self._max = max @property def min(self): """Gets the min of this Datapoint. 聚合周期内指标数据的最小值。 :return: The min of this Datapoint. :rtype: float """ return self._min @min.setter def min(self, min): """Sets the min of this Datapoint. 聚合周期内指标数据的最小值。 :param min: The min of this Datapoint. :type min: float """ self._min = min @property def average(self): """Gets the average of this Datapoint. 聚合周期内指标数据的平均值。 :return: The average of this Datapoint. :rtype: float """ return self._average @average.setter def average(self, average): """Sets the average of this Datapoint. 聚合周期内指标数据的平均值。 :param average: The average of this Datapoint. :type average: float """ self._average = average @property def sum(self): """Gets the sum of this Datapoint. 聚合周期内指标数据的求和值。 :return: The sum of this Datapoint. :rtype: float """ return self._sum @sum.setter def sum(self, sum): """Sets the sum of this Datapoint. 聚合周期内指标数据的求和值。 :param sum: The sum of this Datapoint. :type sum: float """ self._sum = sum @property def variance(self): """Gets the variance of this Datapoint. 聚合周期内指标数据的方差。 :return: The variance of this Datapoint. :rtype: float """ return self._variance @variance.setter def variance(self, variance): """Sets the variance of this Datapoint. 聚合周期内指标数据的方差。 :param variance: The variance of this Datapoint. :type variance: float """ self._variance = variance @property def timestamp(self): """Gets the timestamp of this Datapoint. 指标采集时间,UNIX时间戳,单位毫秒。 :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,UNIX时间戳,单位毫秒。 :param timestamp: The timestamp of this Datapoint. :type timestamp: 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 unit: 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 return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" 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