208 lines
9.9 KiB
Python
208 lines
9.9 KiB
Python
# coding: utf-8
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"""
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Kubernetes
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No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
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The version of the OpenAPI document: release-1.16
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Generated by: https://openapi-generator.tech
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"""
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import pprint
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import re # noqa: F401
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import six
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from kubernetes.client.configuration import Configuration
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class V1TopologySpreadConstraint(object):
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"""NOTE: This class is auto generated by OpenAPI Generator.
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Ref: https://openapi-generator.tech
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Do not edit the class manually.
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"""
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"""
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Attributes:
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openapi_types (dict): The key is attribute name
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and the value is attribute type.
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attribute_map (dict): 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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openapi_types = {
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'label_selector': 'V1LabelSelector',
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'max_skew': 'int',
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'topology_key': 'str',
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'when_unsatisfiable': 'str'
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}
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attribute_map = {
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'label_selector': 'labelSelector',
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'max_skew': 'maxSkew',
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'topology_key': 'topologyKey',
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'when_unsatisfiable': 'whenUnsatisfiable'
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}
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def __init__(self, label_selector=None, max_skew=None, topology_key=None, when_unsatisfiable=None, local_vars_configuration=None): # noqa: E501
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"""V1TopologySpreadConstraint - a model defined in OpenAPI""" # noqa: E501
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if local_vars_configuration is None:
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local_vars_configuration = Configuration()
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self.local_vars_configuration = local_vars_configuration
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self._label_selector = None
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self._max_skew = None
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self._topology_key = None
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self._when_unsatisfiable = None
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self.discriminator = None
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if label_selector is not None:
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self.label_selector = label_selector
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self.max_skew = max_skew
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self.topology_key = topology_key
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self.when_unsatisfiable = when_unsatisfiable
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@property
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def label_selector(self):
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"""Gets the label_selector of this V1TopologySpreadConstraint. # noqa: E501
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:return: The label_selector of this V1TopologySpreadConstraint. # noqa: E501
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:rtype: V1LabelSelector
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"""
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return self._label_selector
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@label_selector.setter
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def label_selector(self, label_selector):
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"""Sets the label_selector of this V1TopologySpreadConstraint.
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:param label_selector: The label_selector of this V1TopologySpreadConstraint. # noqa: E501
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:type: V1LabelSelector
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"""
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self._label_selector = label_selector
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@property
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def max_skew(self):
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"""Gets the max_skew of this V1TopologySpreadConstraint. # noqa: E501
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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
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:return: The max_skew of this V1TopologySpreadConstraint. # noqa: E501
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:rtype: int
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"""
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return self._max_skew
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@max_skew.setter
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def max_skew(self, max_skew):
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"""Sets the max_skew of this V1TopologySpreadConstraint.
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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
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:param max_skew: The max_skew of this V1TopologySpreadConstraint. # noqa: E501
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:type: int
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"""
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if self.local_vars_configuration.client_side_validation and max_skew is None: # noqa: E501
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raise ValueError("Invalid value for `max_skew`, must not be `None`") # noqa: E501
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self._max_skew = max_skew
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@property
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def topology_key(self):
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"""Gets the topology_key of this V1TopologySpreadConstraint. # noqa: E501
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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 <key, value> as a \"bucket\", and try to put balanced number of pods into each bucket. It's a required field. # noqa: E501
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:return: The topology_key of this V1TopologySpreadConstraint. # noqa: E501
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:rtype: str
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"""
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return self._topology_key
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@topology_key.setter
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def topology_key(self, topology_key):
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"""Sets the topology_key of this V1TopologySpreadConstraint.
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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 <key, value> as a \"bucket\", and try to put balanced number of pods into each bucket. It's a required field. # noqa: E501
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:param topology_key: The topology_key of this V1TopologySpreadConstraint. # noqa: E501
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:type: str
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"""
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if self.local_vars_configuration.client_side_validation and topology_key is None: # noqa: E501
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raise ValueError("Invalid value for `topology_key`, must not be `None`") # noqa: E501
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self._topology_key = topology_key
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@property
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def when_unsatisfiable(self):
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"""Gets the when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501
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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
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:return: The when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501
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:rtype: str
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"""
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return self._when_unsatisfiable
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@when_unsatisfiable.setter
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def when_unsatisfiable(self, when_unsatisfiable):
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"""Sets the when_unsatisfiable of this V1TopologySpreadConstraint.
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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
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:param when_unsatisfiable: The when_unsatisfiable of this V1TopologySpreadConstraint. # noqa: E501
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:type: str
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"""
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if self.local_vars_configuration.client_side_validation and when_unsatisfiable is None: # noqa: E501
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raise ValueError("Invalid value for `when_unsatisfiable`, must not be `None`") # noqa: E501
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self._when_unsatisfiable = when_unsatisfiable
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def to_dict(self):
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"""Returns the model properties as a dict"""
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result = {}
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for attr, _ in six.iteritems(self.openapi_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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"""Returns the string representation of the model"""
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return pprint.pformat(self.to_dict())
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def __repr__(self):
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"""For `print` and `pprint`"""
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return self.to_str()
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def __eq__(self, other):
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"""Returns true if both objects are equal"""
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if not isinstance(other, V1TopologySpreadConstraint):
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return False
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return self.to_dict() == other.to_dict()
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def __ne__(self, other):
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"""Returns true if both objects are not equal"""
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if not isinstance(other, V1TopologySpreadConstraint):
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return True
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return self.to_dict() != other.to_dict()
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