158 lines
3.9 KiB
Python
158 lines
3.9 KiB
Python
# coding: utf-8
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import pprint
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import re
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import six
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class Datapoint(object):
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"""
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Attributes:
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openapi_types (dict): The key is attribute name
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and the value is attribute type.
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attribute_map (dict): The key is attribute name
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and the value is json key in definition.
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"""
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sensitive_list = []
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openapi_types = {
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'average': 'float',
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'timestamp': 'int',
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'unit': 'str'
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}
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attribute_map = {
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'average': 'average',
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'timestamp': 'timestamp',
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'unit': 'unit'
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}
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def __init__(self, average=None, timestamp=None, unit=None): # noqa: E501
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"""Datapoint - a model defined in huaweicloud sdk"""
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self._average = None
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self._timestamp = None
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self._unit = None
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self.discriminator = None
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self.average = average
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self.timestamp = timestamp
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if unit is not None:
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self.unit = unit
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@property
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def average(self):
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"""Gets the average of this Datapoint.
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指标值，该字段名称与请求参数中filter使用的查询值相同。
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:return: The average of this Datapoint.
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:rtype: float
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"""
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return self._average
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@average.setter
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def average(self, average):
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"""Sets the average of this Datapoint.
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指标值，该字段名称与请求参数中filter使用的查询值相同。
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:param average: The average of this Datapoint.
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:type: float
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"""
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self._average = average
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@property
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def timestamp(self):
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"""Gets the timestamp of this Datapoint.
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指标采集时间。
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:return: The timestamp of this Datapoint.
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:rtype: int
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"""
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return self._timestamp
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@timestamp.setter
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def timestamp(self, timestamp):
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"""Sets the timestamp of this Datapoint.
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指标采集时间。
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:param timestamp: The timestamp of this Datapoint.
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:type: int
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"""
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self._timestamp = timestamp
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@property
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def unit(self):
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"""Gets the unit of this Datapoint.
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指标单位
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:return: The unit of this Datapoint.
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:rtype: str
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"""
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return self._unit
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@unit.setter
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def unit(self, unit):
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"""Sets the unit of this Datapoint.
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指标单位
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:param unit: The unit of this Datapoint.
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:type: str
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"""
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self._unit = unit
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def to_dict(self):
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"""Returns the model properties as a dict"""
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result = {}
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for attr, _ in six.iteritems(self.openapi_types):
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value = getattr(self, attr)
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if isinstance(value, list):
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result[attr] = list(map(
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lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
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value
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))
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elif hasattr(value, "to_dict"):
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result[attr] = value.to_dict()
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elif isinstance(value, dict):
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result[attr] = dict(map(
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lambda item: (item[0], item[1].to_dict())
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if hasattr(item[1], "to_dict") else item,
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value.items()
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))
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else:
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if attr in self.sensitive_list:
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result[attr] = "****"
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else:
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result[attr] = value
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return result
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def to_str(self):
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"""Returns the string representation of the model"""
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return pprint.pformat(self.to_dict())
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def __repr__(self):
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"""For `print` and `pprint`"""
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return self.to_str()
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def __eq__(self, other):
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"""Returns true if both objects are equal"""
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if not isinstance(other, Datapoint):
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return False
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return self.__dict__ == other.__dict__
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def __ne__(self, other):
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"""Returns true if both objects are not equal"""
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return not self == other
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