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# coding: utf-8
"""
CLOUD API
IONOS Enterprise-grade Infrastructure as a Service (IaaS) solutions can be managed through the Cloud API, in addition or as an alternative to the \"Data Center Designer\" (DCD) browser-based tool. Both methods employ consistent concepts and features, deliver similar power and flexibility, and can be used to perform a multitude of management tasks, including adding servers, volumes, configuring networks, and so on. # noqa: E501
The version of the OpenAPI document: 6.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from ionoscloud.configuration import Configuration
class KubernetesAutoScaling(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 = {
'min_node_count': 'int',
'max_node_count': 'int',
}
attribute_map = {
'min_node_count': 'minNodeCount',
'max_node_count': 'maxNodeCount',
}
def __init__(self, min_node_count=None, max_node_count=None, local_vars_configuration=None): # noqa: E501
"""KubernetesAutoScaling - 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._min_node_count = None
self._max_node_count = None
self.discriminator = None
self.min_node_count = min_node_count
self.max_node_count = max_node_count
@property
def min_node_count(self):
"""Gets the min_node_count of this KubernetesAutoScaling. # noqa: E501
The minimum number of working nodes that the managed node pool can scale must be >= 1 and >= nodeCount. Required if autoScaling is specified. # noqa: E501
:return: The min_node_count of this KubernetesAutoScaling. # noqa: E501
:rtype: int
"""
return self._min_node_count
@min_node_count.setter
def min_node_count(self, min_node_count):
"""Sets the min_node_count of this KubernetesAutoScaling.
The minimum number of working nodes that the managed node pool can scale must be >= 1 and >= nodeCount. Required if autoScaling is specified. # noqa: E501
:param min_node_count: The min_node_count of this KubernetesAutoScaling. # noqa: E501
:type min_node_count: int
"""
if self.local_vars_configuration.client_side_validation and min_node_count is None: # noqa: E501
raise ValueError("Invalid value for `min_node_count`, must not be `None`") # noqa: E501
self._min_node_count = min_node_count
@property
def max_node_count(self):
"""Gets the max_node_count of this KubernetesAutoScaling. # noqa: E501
The maximum number of worker nodes that the managed node pool can scale in. Must be >= minNodeCount and must be >= nodeCount. Required if autoScaling is specified. # noqa: E501
:return: The max_node_count of this KubernetesAutoScaling. # noqa: E501
:rtype: int
"""
return self._max_node_count
@max_node_count.setter
def max_node_count(self, max_node_count):
"""Sets the max_node_count of this KubernetesAutoScaling.
The maximum number of worker nodes that the managed node pool can scale in. Must be >= minNodeCount and must be >= nodeCount. Required if autoScaling is specified. # noqa: E501
:param max_node_count: The max_node_count of this KubernetesAutoScaling. # noqa: E501
:type max_node_count: int
"""
if self.local_vars_configuration.client_side_validation and max_node_count is None: # noqa: E501
raise ValueError("Invalid value for `max_node_count`, must not be `None`") # noqa: E501
self._max_node_count = max_node_count
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, KubernetesAutoScaling):
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, KubernetesAutoScaling):
return True
return self.to_dict() != other.to_dict()
|
