python/kubernetes/client/models/v2beta1_pods_metric_source.py
2022-06-06 21:11:30 +00:00

179 lines
5.8 KiB
Python

# 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-1.24
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kubernetes.client.configuration import Configuration
class V2beta1PodsMetricSource(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 = {
'metric_name': 'str',
'selector': 'V1LabelSelector',
'target_average_value': 'str'
}
attribute_map = {
'metric_name': 'metricName',
'selector': 'selector',
'target_average_value': 'targetAverageValue'
}
def __init__(self, metric_name=None, selector=None, target_average_value=None, local_vars_configuration=None): # noqa: E501
"""V2beta1PodsMetricSource - 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._metric_name = None
self._selector = None
self._target_average_value = None
self.discriminator = None
self.metric_name = metric_name
if selector is not None:
self.selector = selector
self.target_average_value = target_average_value
@property
def metric_name(self):
"""Gets the metric_name of this V2beta1PodsMetricSource. # noqa: E501
metricName is the name of the metric in question # noqa: E501
:return: The metric_name of this V2beta1PodsMetricSource. # noqa: E501
:rtype: str
"""
return self._metric_name
@metric_name.setter
def metric_name(self, metric_name):
"""Sets the metric_name of this V2beta1PodsMetricSource.
metricName is the name of the metric in question # noqa: E501
:param metric_name: The metric_name of this V2beta1PodsMetricSource. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and metric_name is None: # noqa: E501
raise ValueError("Invalid value for `metric_name`, must not be `None`") # noqa: E501
self._metric_name = metric_name
@property
def selector(self):
"""Gets the selector of this V2beta1PodsMetricSource. # noqa: E501
:return: The selector of this V2beta1PodsMetricSource. # noqa: E501
:rtype: V1LabelSelector
"""
return self._selector
@selector.setter
def selector(self, selector):
"""Sets the selector of this V2beta1PodsMetricSource.
:param selector: The selector of this V2beta1PodsMetricSource. # noqa: E501
:type: V1LabelSelector
"""
self._selector = selector
@property
def target_average_value(self):
"""Gets the target_average_value of this V2beta1PodsMetricSource. # noqa: E501
targetAverageValue is the target value of the average of the metric across all relevant pods (as a quantity) # noqa: E501
:return: The target_average_value of this V2beta1PodsMetricSource. # noqa: E501
:rtype: str
"""
return self._target_average_value
@target_average_value.setter
def target_average_value(self, target_average_value):
"""Sets the target_average_value of this V2beta1PodsMetricSource.
targetAverageValue is the target value of the average of the metric across all relevant pods (as a quantity) # noqa: E501
:param target_average_value: The target_average_value of this V2beta1PodsMetricSource. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and target_average_value is None: # noqa: E501
raise ValueError("Invalid value for `target_average_value`, must not be `None`") # noqa: E501
self._target_average_value = target_average_value
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, V2beta1PodsMetricSource):
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, V2beta1PodsMetricSource):
return True
return self.to_dict() != other.to_dict()