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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 V2ResourceMetricSource(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 = {
          'name': 'str',
          'target': 'V2MetricTarget'
          }
          attribute_map = {
          'name': 'name',
          'target': 'target'
          }
          def init(self, name=None, target=None, local_vars_configuration=None):  # noqa: E501
          """V2ResourceMetricSource - 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._name = None
          self._target = None
          self.discriminator = None
          self.name = name
          self.target = target
          @property
          def name(self):
          """Gets the name of this V2ResourceMetricSource.  # noqa: E501
          name is the name of the resource in question.  # noqa: E501
          :return: The name of this V2ResourceMetricSource.  # noqa: E501
          :rtype: str
          """
          return self._name
          @name.setter
          def name(self, name):
          """Sets the name of this V2ResourceMetricSource.
          name is the name of the resource in question.  # noqa: E501
          :param name: The name of this V2ResourceMetricSource.  # noqa: E501
          :type: str
          """
          if self.local_vars_configuration.client_side_validation and name is None:  # noqa: E501
          raise ValueError("Invalid value for name, must not be None”)  # noqa: E501
          self._name = name
          @property
          def target(self):
          “”“Gets the target of this V2ResourceMetricSource.  # noqa: E501
          :return: The target of this V2ResourceMetricSource.  # noqa: E501
          :rtype: V2MetricTarget
          “””
          return self._target
          @target.setter
          def target(self, target):
          “”“Sets the target of this V2ResourceMetricSource.
          :param target: The target of this V2ResourceMetricSource.  # 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, V2ResourceMetricSource):
          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, V2ResourceMetricSource):
          return True
          return self.to_dict() != other.to_dict()

Explanation

This code defines a Python class called V2ResourceMetricSource which is part of a Kubernetes client library. It represents a resource metric source, which is a type of metric used for autoscaling in Kubernetes. The class is generated from a OpenAPI schema.

Key Features:

Attribute Definitions: The class has two main attributes: name and target.
name: A string representing the name of the resource being monitored (e.g., “cpu”, “memory”).
target: An object of type V2MetricTarget which defines the desired resource usage or limit.
Getters and Setters: Properties are provided for accessing and modifying the values of the name and target attributes. These are implemented using the @property decorator in Python.
Validation: The __init__ method includes client-side validation using the local_vars_configuration object to ensure that required attributes are not None.
Data Serialization: Methods like to_dict() and to_str() are provided to convert the object into a dictionary representation (suitable for JSON serialization) and a string representation, respectively.

Usage:

An instance of V2ResourceMetricSource would be used to configure a horizontal pod autoscaler (HPA) in Kubernetes. For example:

from kubernetes.client.models import V2ResourceMetricSource, V2MetricTarget

resource_metric_source = V2ResourceMetricSource(
name="cpu",
target=V2MetricTarget(
type="Utilization",
average_value="80"
)
)

# Use this object to configure an HPA

Overall:

This code provides a structured and well-defined Python representation of a Kubernetes resource metric source, enabling developers to use it effectively within the Kubernetes client library. The class adheres to standard Python coding practices and includes features like validation and serialization to enhance its usability.

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