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v1_horizontal_pod_autoscaler_spec.py
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# 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()