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””” Kubernetes

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501

The version of the OpenAPI document: release-1.31 Generated by: https://openapi-generator.tech

””“

import pprint import re # noqa: F401

import six

from kubernetes.client.configuration import Configuration

class V2ObjectMetricSource(object): “”“NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech

Do not edit the class manually.
          """
          
          """
          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.
          """
          openapi_types = {
          'described_object': 'V2CrossVersionObjectReference',
          'metric': 'V2MetricIdentifier',
          'target': 'V2MetricTarget'
          }
          attribute_map = {
          'described_object': 'describedObject',
          'metric': 'metric',
          'target': 'target'
          }
          def init(self, described_object=None, metric=None, target=None, local_vars_configuration=None):  # noqa: E501
          """V2ObjectMetricSource - a model defined in OpenAPI"""  # noqa: E501
          if local_vars_configuration is None:
          local_vars_configuration = Configuration()
          self.local_vars_configuration = local_vars_configuration
          self._described_object = None
          self._metric = None
          self._target = None
          self.discriminator = None
          self.described_object = described_object
          self.metric = metric
          self.target = target
          @property
          def described_object(self):
          """Gets the described_object of this V2ObjectMetricSource.  # noqa: E501
          :return: The described_object of this V2ObjectMetricSource.  # noqa: E501
          :rtype: V2CrossVersionObjectReference
          """
          return self._described_object
          @described_object.setter
          def described_object(self, described_object):
          """Sets the described_object of this V2ObjectMetricSource.
          :param described_object: The described_object of this V2ObjectMetricSource.  # noqa: E501
          :type: V2CrossVersionObjectReference
          """
          if self.local_vars_configuration.client_side_validation and described_object is None:  # noqa: E501
          raise ValueError("Invalid value for described_object, must not be None”)  # noqa: E501
          self._described_object = described_object
          @property
          def metric(self):
          “”“Gets the metric of this V2ObjectMetricSource.  # noqa: E501
          :return: The metric of this V2ObjectMetricSource.  # noqa: E501
          :rtype: V2MetricIdentifier
          “””
          return self._metric
          @metric.setter
          def metric(self, metric):
          “”“Sets the metric of this V2ObjectMetricSource.
          :param metric: The metric of this V2ObjectMetricSource.  # noqa: E501
          :type: V2MetricIdentifier
          “””
          if self.local_vars_configuration.client_side_validation and metric is None:  # noqa: E501
          raise ValueError(“Invalid value for metric, must not be None”)  # noqa: E501
          self._metric = metric
          @property
          def target(self):
          “”“Gets the target of this V2ObjectMetricSource.  # noqa: E501
          :return: The target of this V2ObjectMetricSource.  # noqa: E501
          :rtype: V2MetricTarget
          “””
          return self._target
          @target.setter
          def target(self, target):
          “”“Sets the target of this V2ObjectMetricSource.
          :param target: The target of this V2ObjectMetricSource.  # noqa: E501
          :type: V2MetricTarget
          “””
          if self.local_vars_configuration.client_side_validation and target is None:  # noqa: E501
          raise ValueError(“Invalid value for target, must not be None”)  # noqa: E501
          self._target = target
          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:
          result[attr] = value
          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, V2ObjectMetricSource):
          return False
          return self.to_dict() == other.to_dict()
          def ne(self, other):
          “”“Returns true if both objects are not equal”“”
          if not isinstance(other, V2ObjectMetricSource):
          return True
          return self.to_dict() != other.to_dict()

Explanation

This code defines a Python class named V2ObjectMetricSource representing an object metric source used in Kubernetes. It’s likely part of a larger library for interacting with Kubernetes resources. Here’s a breakdown:

Class Structure:
The class is auto-generated, likely from a Kubernetes API specification, and has the following attributes:
described_object: A V2CrossVersionObjectReference representing the object whose metrics are being considered.
metric: A V2MetricIdentifier defining the specific metric to be tracked.
target: A V2MetricTarget specifying the desired value for the metric.
Constructor (__init__)
Takes optional arguments for described_object, metric, and target.
Initializes instance variables for these attributes, ensuring they’re not None.
Accessor Methods (@property)
Provides getter methods for described_object, metric, and target, allowing access to the attributes in a controlled manner.
Each getter has a corresponding setter (using @described_object.setter etc.) that validates the input value and assigns it to the private instance variable (_described_object etc.)
Utility Methods:
to_dict(): Converts the object to a dictionary representation, making it suitable for serialization.
to_str(): Provides a string representation of the object, useful for printing and debugging.
__repr__(): Uses to_str() to provide a more informative representation for print and pprint.
__eq__(): Defines how to compare two V2ObjectMetricSource objects for equality, ensuring they have the same values for all attributes.
__ne__(): Implements the not-equals operator (using __eq__ for negation).

Overall, this class is a model representation of an object metric source as defined by Kubernetes. It facilitates working with this resource in a Python environment, enabling operations like serialization, comparison, and access to its various attributes.

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Explanation

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