131 lines
3.4 KiB
Python
131 lines
3.4 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 ListMetricsResponse(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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'metrics': 'list[MetricInfo]',
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'meta_data': 'MetaData'
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}
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attribute_map = {
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'metrics': 'metrics',
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'meta_data': 'meta_data'
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}
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def __init__(self, metrics=None, meta_data=None): # noqa: E501
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"""ListMetricsResponse - a model defined in huaweicloud sdk"""
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self._metrics = None
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self._meta_data = None
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self.discriminator = None
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if metrics is not None:
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self.metrics = metrics
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if meta_data is not None:
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self.meta_data = meta_data
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@property
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def metrics(self):
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"""Gets the metrics of this ListMetricsResponse.
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指标信息列表
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:return: The metrics of this ListMetricsResponse.
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:rtype: list[MetricInfo]
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"""
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return self._metrics
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@metrics.setter
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def metrics(self, metrics):
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"""Sets the metrics of this ListMetricsResponse.
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指标信息列表
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:param metrics: The metrics of this ListMetricsResponse.
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:type: list[MetricInfo]
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"""
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self._metrics = metrics
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@property
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def meta_data(self):
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"""Gets the meta_data of this ListMetricsResponse.
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:return: The meta_data of this ListMetricsResponse.
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:rtype: MetaData
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"""
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return self._meta_data
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@meta_data.setter
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def meta_data(self, meta_data):
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"""Sets the meta_data of this ListMetricsResponse.
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:param meta_data: The meta_data of this ListMetricsResponse.
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:type: MetaData
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"""
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self._meta_data = meta_data
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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, ListMetricsResponse):
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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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