209 lines
7.2 KiB
Python
209 lines
7.2 KiB
Python
# coding: utf-8
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"""
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Kubernetes
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No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
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OpenAPI spec version: unversioned
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Generated by: https://github.com/swagger-api/swagger-codegen.git
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from pprint import pformat
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from six import iteritems
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import re
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class V1beta1HorizontalPodAutoscalerSpec(object):
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"""
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NOTE: This class is auto generated by the swagger code generator program.
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Do not edit the class manually.
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"""
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def __init__(self, cpu_utilization=None, max_replicas=None, min_replicas=None, scale_ref=None):
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"""
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V1beta1HorizontalPodAutoscalerSpec - a model defined in Swagger
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:param dict swaggerTypes: The key is attribute name
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and the value is attribute type.
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:param dict attributeMap: 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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self.swagger_types = {
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'cpu_utilization': 'V1beta1CPUTargetUtilization',
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'max_replicas': 'int',
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'min_replicas': 'int',
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'scale_ref': 'V1beta1SubresourceReference'
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}
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self.attribute_map = {
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'cpu_utilization': 'cpuUtilization',
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'max_replicas': 'maxReplicas',
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'min_replicas': 'minReplicas',
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'scale_ref': 'scaleRef'
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}
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self._cpu_utilization = cpu_utilization
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self._max_replicas = max_replicas
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self._min_replicas = min_replicas
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self._scale_ref = scale_ref
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@property
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def cpu_utilization(self):
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"""
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Gets the cpu_utilization of this V1beta1HorizontalPodAutoscalerSpec.
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target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified it defaults to the target CPU utilization at 80% of the requested resources.
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:return: The cpu_utilization of this V1beta1HorizontalPodAutoscalerSpec.
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:rtype: V1beta1CPUTargetUtilization
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"""
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return self._cpu_utilization
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@cpu_utilization.setter
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def cpu_utilization(self, cpu_utilization):
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"""
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Sets the cpu_utilization of this V1beta1HorizontalPodAutoscalerSpec.
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target average CPU utilization (represented as a percentage of requested CPU) over all the pods; if not specified it defaults to the target CPU utilization at 80% of the requested resources.
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:param cpu_utilization: The cpu_utilization of this V1beta1HorizontalPodAutoscalerSpec.
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:type: V1beta1CPUTargetUtilization
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"""
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self._cpu_utilization = cpu_utilization
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@property
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def max_replicas(self):
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"""
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Gets the max_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.
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:return: The max_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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:rtype: int
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"""
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return self._max_replicas
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@max_replicas.setter
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def max_replicas(self, max_replicas):
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"""
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Sets the max_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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upper limit for the number of pods that can be set by the autoscaler; cannot be smaller than MinReplicas.
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:param max_replicas: The max_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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:type: int
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"""
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if max_replicas is None:
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raise ValueError("Invalid value for `max_replicas`, must not be `None`")
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self._max_replicas = max_replicas
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@property
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def min_replicas(self):
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"""
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Gets the min_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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lower limit for the number of pods that can be set by the autoscaler, default 1.
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:return: The min_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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:rtype: int
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"""
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return self._min_replicas
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@min_replicas.setter
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def min_replicas(self, min_replicas):
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"""
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Sets the min_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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lower limit for the number of pods that can be set by the autoscaler, default 1.
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:param min_replicas: The min_replicas of this V1beta1HorizontalPodAutoscalerSpec.
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:type: int
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"""
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self._min_replicas = min_replicas
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@property
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def scale_ref(self):
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"""
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Gets the scale_ref of this V1beta1HorizontalPodAutoscalerSpec.
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reference to Scale subresource; horizontal pod autoscaler will learn the current resource consumption from its status, and will set the desired number of pods by modifying its spec.
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:return: The scale_ref of this V1beta1HorizontalPodAutoscalerSpec.
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:rtype: V1beta1SubresourceReference
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"""
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return self._scale_ref
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@scale_ref.setter
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def scale_ref(self, scale_ref):
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"""
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Sets the scale_ref of this V1beta1HorizontalPodAutoscalerSpec.
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reference to Scale subresource; horizontal pod autoscaler will learn the current resource consumption from its status, and will set the desired number of pods by modifying its spec.
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:param scale_ref: The scale_ref of this V1beta1HorizontalPodAutoscalerSpec.
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:type: V1beta1SubresourceReference
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"""
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if scale_ref is None:
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raise ValueError("Invalid value for `scale_ref`, must not be `None`")
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self._scale_ref = scale_ref
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def to_dict(self):
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"""
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Returns the model properties as a dict
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"""
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result = {}
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for attr, _ in iteritems(self.swagger_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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result[attr] = value
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return result
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def to_str(self):
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"""
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Returns the string representation of the model
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"""
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return pformat(self.to_dict())
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def __repr__(self):
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"""
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For `print` and `pprint`
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"""
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return self.to_str()
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def __eq__(self, other):
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"""
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Returns true if both objects are equal
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"""
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return self.__dict__ == other.__dict__
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def __ne__(self, other):
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"""
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Returns true if both objects are not equal
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"""
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return not self == other
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