fix(kubernetes): temporary solution for updated k8s python client

kubernetes/client/models/v1_horizontal_pod_autoscaler_spec.py

@@ -0,0 +1,206 @@
+# coding: utf-8
+
+"""
+    Kubernetes
+
+    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)  # noqa: E501
+
+    The version of the OpenAPI document: release-1.32
+    Generated by: https://openapi-generator.tech
+"""
+
+
+import pprint
+import re  # noqa: F401
+
+import six
+
+from kubernetes.client.configuration import Configuration
+
+
+class V1HorizontalPodAutoscalerSpec(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 = {
+        'max_replicas': 'int',
+        'min_replicas': 'int',
+        'scale_target_ref': 'V1CrossVersionObjectReference',
+        'target_cpu_utilization_percentage': 'int'
+    }
+
+    attribute_map = {
+        'max_replicas': 'maxReplicas',
+        'min_replicas': 'minReplicas',
+        'scale_target_ref': 'scaleTargetRef',
+        'target_cpu_utilization_percentage': 'targetCPUUtilizationPercentage'
+    }
+
+    def __init__(self, max_replicas=None, min_replicas=None, scale_target_ref=None, target_cpu_utilization_percentage=None, local_vars_configuration=None):  # noqa: E501
+        """V1HorizontalPodAutoscalerSpec - 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._max_replicas = None
+        self._min_replicas = None
+        self._scale_target_ref = None
+        self._target_cpu_utilization_percentage = None
+        self.discriminator = None
+
+        self.max_replicas = max_replicas
+        if min_replicas is not None:
+            self.min_replicas = min_replicas
+        self.scale_target_ref = scale_target_ref
+        if target_cpu_utilization_percentage is not None:
+            self.target_cpu_utilization_percentage = target_cpu_utilization_percentage
+
+    @property
+    def max_replicas(self):
+        """Gets the max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+
+        maxReplicas is the upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.  # noqa: E501
+
+        :return: The max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :rtype: int
+        """
+        return self._max_replicas
+
+    @max_replicas.setter
+    def max_replicas(self, max_replicas):
+        """Sets the max_replicas of this V1HorizontalPodAutoscalerSpec.
+
+        maxReplicas is the upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.  # noqa: E501
+
+        :param max_replicas: The max_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :type: int
+        """
+        if self.local_vars_configuration.client_side_validation and max_replicas is None:  # noqa: E501
+            raise ValueError("Invalid value for `max_replicas`, must not be `None`")  # noqa: E501
+
+        self._max_replicas = max_replicas
+
+    @property
+    def min_replicas(self):
+        """Gets the min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+
+        minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.  It defaults to 1 pod.  minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured.  Scaling is active as long as at least one metric value is available.  # noqa: E501
+
+        :return: The min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :rtype: int
+        """
+        return self._min_replicas
+
+    @min_replicas.setter
+    def min_replicas(self, min_replicas):
+        """Sets the min_replicas of this V1HorizontalPodAutoscalerSpec.
+
+        minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.  It defaults to 1 pod.  minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured.  Scaling is active as long as at least one metric value is available.  # noqa: E501
+
+        :param min_replicas: The min_replicas of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :type: int
+        """
+
+        self._min_replicas = min_replicas
+
+    @property
+    def scale_target_ref(self):
+        """Gets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+
+
+        :return: The scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :rtype: V1CrossVersionObjectReference
+        """
+        return self._scale_target_ref
+
+    @scale_target_ref.setter
+    def scale_target_ref(self, scale_target_ref):
+        """Sets the scale_target_ref of this V1HorizontalPodAutoscalerSpec.
+
+
+        :param scale_target_ref: The scale_target_ref of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :type: V1CrossVersionObjectReference
+        """
+        if self.local_vars_configuration.client_side_validation and scale_target_ref is None:  # noqa: E501
+            raise ValueError("Invalid value for `scale_target_ref`, must not be `None`")  # noqa: E501
+
+        self._scale_target_ref = scale_target_ref
+
+    @property
+    def target_cpu_utilization_percentage(self):
+        """Gets the target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+
+        targetCPUUtilizationPercentage is the target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.  # noqa: E501
+
+        :return: The target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :rtype: int
+        """
+        return self._target_cpu_utilization_percentage
+
+    @target_cpu_utilization_percentage.setter
+    def target_cpu_utilization_percentage(self, target_cpu_utilization_percentage):
+        """Sets the target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.
+
+        targetCPUUtilizationPercentage is the target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified the default autoscaling policy will be used.  # noqa: E501
+
+        :param target_cpu_utilization_percentage: The target_cpu_utilization_percentage of this V1HorizontalPodAutoscalerSpec.  # noqa: E501
+        :type: int
+        """
+
+        self._target_cpu_utilization_percentage = target_cpu_utilization_percentage
+
+    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, V1HorizontalPodAutoscalerSpec):
+            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, V1HorizontalPodAutoscalerSpec):
+            return True
+
+        return self.to_dict() != other.to_dict()