File: //snap/google-cloud-cli/396/lib/third_party/kubernetes/client/models/v2beta2_metric_status.py
# coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen
https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.14.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V2beta2MetricStatus(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_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.
"""
swagger_types = {
'external': 'V2beta2ExternalMetricStatus',
'object': 'V2beta2ObjectMetricStatus',
'pods': 'V2beta2PodsMetricStatus',
'resource': 'V2beta2ResourceMetricStatus',
'type': 'str'
}
attribute_map = {
'external': 'external',
'object': 'object',
'pods': 'pods',
'resource': 'resource',
'type': 'type'
}
def __init__(self,
external=None,
object=None,
pods=None,
resource=None,
type=None):
"""
V2beta2MetricStatus - a model defined in Swagger
"""
self._external = None
self._object = None
self._pods = None
self._resource = None
self._type = None
self.discriminator = None
if external is not None:
self.external = external
if object is not None:
self.object = object
if pods is not None:
self.pods = pods
if resource is not None:
self.resource = resource
self.type = type
@property
def external(self):
"""
Gets the external of this V2beta2MetricStatus.
external refers to a global metric that is not associated with any
Kubernetes object. It allows autoscaling based on information coming
from components running outside of cluster (for example length of queue
in cloud messaging service, or QPS from loadbalancer running outside of
cluster).
:return: The external of this V2beta2MetricStatus.
:rtype: V2beta2ExternalMetricStatus
"""
return self._external
@external.setter
def external(self, external):
"""
Sets the external of this V2beta2MetricStatus.
external refers to a global metric that is not associated with any
Kubernetes object. It allows autoscaling based on information coming
from components running outside of cluster (for example length of queue
in cloud messaging service, or QPS from loadbalancer running outside of
cluster).
:param external: The external of this V2beta2MetricStatus.
:type: V2beta2ExternalMetricStatus
"""
self._external = external
@property
def object(self):
"""
Gets the object of this V2beta2MetricStatus.
object refers to a metric describing a single kubernetes object (for
example, hits-per-second on an Ingress object).
:return: The object of this V2beta2MetricStatus.
:rtype: V2beta2ObjectMetricStatus
"""
return self._object
@object.setter
def object(self, object):
"""
Sets the object of this V2beta2MetricStatus.
object refers to a metric describing a single kubernetes object (for
example, hits-per-second on an Ingress object).
:param object: The object of this V2beta2MetricStatus.
:type: V2beta2ObjectMetricStatus
"""
self._object = object
@property
def pods(self):
"""
Gets the pods of this V2beta2MetricStatus.
pods refers to a metric describing each pod in the current scale target
(for example, transactions-processed-per-second). The values will be
averaged together before being compared to the target value.
:return: The pods of this V2beta2MetricStatus.
:rtype: V2beta2PodsMetricStatus
"""
return self._pods
@pods.setter
def pods(self, pods):
"""
Sets the pods of this V2beta2MetricStatus.
pods refers to a metric describing each pod in the current scale target
(for example, transactions-processed-per-second). The values will be
averaged together before being compared to the target value.
:param pods: The pods of this V2beta2MetricStatus.
:type: V2beta2PodsMetricStatus
"""
self._pods = pods
@property
def resource(self):
"""
Gets the resource of this V2beta2MetricStatus.
resource refers to a resource metric (such as those specified in
requests and limits) known to Kubernetes describing each pod in the
current scale target (e.g. CPU or memory). Such metrics are built in to
Kubernetes, and have special scaling options on top of those available
to normal per-pod metrics using the \"pods\" source.
:return: The resource of this V2beta2MetricStatus.
:rtype: V2beta2ResourceMetricStatus
"""
return self._resource
@resource.setter
def resource(self, resource):
"""
Sets the resource of this V2beta2MetricStatus.
resource refers to a resource metric (such as those specified in
requests and limits) known to Kubernetes describing each pod in the
current scale target (e.g. CPU or memory). Such metrics are built in to
Kubernetes, and have special scaling options on top of those available
to normal per-pod metrics using the \"pods\" source.
:param resource: The resource of this V2beta2MetricStatus.
:type: V2beta2ResourceMetricStatus
"""
self._resource = resource
@property
def type(self):
"""
Gets the type of this V2beta2MetricStatus.
type is the type of metric source. It will be one of \"Object\",
\"Pods\" or \"Resource\", each corresponds to a matching field in the
object.
:return: The type of this V2beta2MetricStatus.
:rtype: str
"""
return self._type
@type.setter
def type(self, type):
"""
Sets the type of this V2beta2MetricStatus.
type is the type of metric source. It will be one of \"Object\",
\"Pods\" or \"Resource\", each corresponds to a matching field in the
object.
:param type: The type of this V2beta2MetricStatus.
:type: str
"""
if type is None:
raise ValueError('Invalid value for `type`, must not be `None`')
self._type = type
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_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 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, V2beta2MetricStatus):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other