# 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-1.16 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from kubernetes.client.configuration import Configuration class V1TopologySpreadConstraint(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 = { 'label_selector': 'V1LabelSelector', 'max_skew': 'int', 'topology_key': 'str', 'when_unsatisfiable': 'str' } attribute_map = { 'label_selector': 'labelSelector', 'max_skew': 'maxSkew', 'topology_key': 'topologyKey', 'when_unsatisfiable': 'whenUnsatisfiable' } def __init__(self, label_selector=None, max_skew=None, topology_key=None, when_unsatisfiable=None, local_vars_configuration=None): # noqa: E501 """V1TopologySpreadConstraint - 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._label_selector = None self._max_skew = None self._topology_key = None self._when_unsatisfiable = None self.discriminator = None if label_selector is not None: self.label_selector = label_selector self.max_skew = max_skew self.topology_key = topology_key self.when_unsatisfiable = when_unsatisfiable @property def label_selector(self): """Gets the label_selector of this V1TopologySpreadConstraint. # noqa: E501 :return: The label_selector of this V1TopologySpreadConstraint. # noqa: E501 :rtype: V1LabelSelector """ return self._label_selector @label_selector.setter def label_selector(self, label_selector): """Sets the label_selector of this V1TopologySpreadConstraint. :param label_selector: The label_selector of this V1TopologySpreadConstraint. # noqa: E501 :type: V1LabelSelector """ self._label_selector = label_selector @property def max_skew(self): """Gets the max_skew of this V1TopologySpreadConstraint. # noqa: E501 MaxSkew describes the degree to which pods may be unevenly distributed. It's the maximum permitted difference between the number of matching pods in any two topology domains of a given topology type. For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 1/1/0: | zone1 | zone2 | zone3 | | P | P | | - if MaxSkew is 1, incoming pod can only be scheduled to zone3 to become 1/1/1; scheduling it onto zone1(zone2) would make the ActualSkew(2-0) on zone1(zone2) violate MaxSkew(1). - if MaxSkew is 2, incoming pod can be scheduled onto any zone. It's a required field. Default value is 1 and 0 is not allowed. # noqa: E501 :return: The max_skew of this V1TopologySpreadConstraint. # noqa: E501 :rtype: int """ return self._max_skew @max_skew.setter def max_skew(self, max_skew): """Sets the max_skew of this V1TopologySpreadConstraint. MaxSkew describes the degree to which pods may be unevenly distributed. It's the maximum permitted difference between the number of matching pods in any two topology domains of a given topology type. For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 1/1/0: | zone1 | zone2 | zone3 | | P | P | | - if MaxSkew is 1, incoming pod can only be scheduled to zone3 to become 1/1/1; scheduling it onto zone1(zone2) would make the ActualSkew(2-0) on zone1(zone2) violate MaxSkew(1). - if MaxSkew is 2, incoming pod can be scheduled onto any zone. It's a required field. Default value is 1 and 0 is not allowed. # noqa: E501 :param max_skew: The max_skew of this V1TopologySpreadConstraint. # noqa: E501 :type: int """ if self.local_vars_configuration.client_side_validation and max_skew is None: # noqa: E501 raise ValueError("Invalid value for `max_skew`, must not be `None`") # noqa: E501 self._max_skew = max_skew @property def topology_key(self): """Gets the topology_key of this V1TopologySpreadConstraint. # noqa: E501 TopologyKey is the key of node labels. Nodes that have a label with this key and identical values are considered to be in the same topology. We consider each as a \"bucket\", and try to put balanced number of pods into each bucket. It's a required field. # noqa: E501 :return: The topology_key of this V1TopologySpreadConstraint. # noqa: E501 :rtype: str """ return self._topology_key @topology_key.setter def topology_key(self, topology_key): """Sets the topology_key of this V1TopologySpreadConstraint. TopologyKey is the key of node labels. Nodes that have a label with this key and identical values are considered to be in the same topology. We consider each as a \"bucket\", and try to put balanced number of pods into each bucket. It's a required field. # noqa: E501 :param topology_key: The topology_key of this V1TopologySpreadConstraint. # noqa: E501 :type: str """ if self.local_vars_configuration.client_side_validation and topology_key is None: # noqa: E501 raise ValueError("Invalid value for `topology_key`, must not be `None`") # noqa: E501 self._topology_key = topology_key @property def when_unsatisfiable(self): """Gets the when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501 WhenUnsatisfiable indicates how to deal with a pod if it doesn't satisfy the spread constraint. - DoNotSchedule (default) tells the scheduler not to schedule it - ScheduleAnyway tells the scheduler to still schedule it It's considered as \"Unsatisfiable\" if and only if placing incoming pod on any topology violates \"MaxSkew\". For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 3/1/1: | zone1 | zone2 | zone3 | | P P P | P | P | If WhenUnsatisfiable is set to DoNotSchedule, incoming pod can only be scheduled to zone2(zone3) to become 3/2/1(3/1/2) as ActualSkew(2-1) on zone2(zone3) satisfies MaxSkew(1). In other words, the cluster can still be imbalanced, but scheduler won't make it *more* imbalanced. It's a required field. # noqa: E501 :return: The when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501 :rtype: str """ return self._when_unsatisfiable @when_unsatisfiable.setter def when_unsatisfiable(self, when_unsatisfiable): """Sets the when_unsatisfiable of this V1TopologySpreadConstraint. WhenUnsatisfiable indicates how to deal with a pod if it doesn't satisfy the spread constraint. - DoNotSchedule (default) tells the scheduler not to schedule it - ScheduleAnyway tells the scheduler to still schedule it It's considered as \"Unsatisfiable\" if and only if placing incoming pod on any topology violates \"MaxSkew\". For example, in a 3-zone cluster, MaxSkew is set to 1, and pods with the same labelSelector spread as 3/1/1: | zone1 | zone2 | zone3 | | P P P | P | P | If WhenUnsatisfiable is set to DoNotSchedule, incoming pod can only be scheduled to zone2(zone3) to become 3/2/1(3/1/2) as ActualSkew(2-1) on zone2(zone3) satisfies MaxSkew(1). In other words, the cluster can still be imbalanced, but scheduler won't make it *more* imbalanced. It's a required field. # noqa: E501 :param when_unsatisfiable: The when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501 :type: str """ if self.local_vars_configuration.client_side_validation and when_unsatisfiable is None: # noqa: E501 raise ValueError("Invalid value for `when_unsatisfiable`, must not be `None`") # noqa: E501 self._when_unsatisfiable = when_unsatisfiable 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, V1TopologySpreadConstraint): 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, V1TopologySpreadConstraint): return True return self.to_dict() != other.to_dict()