python/kubernetes/client/models/v1beta1_event_series.py
Nabarun Pal b4d11b02a3
Update client with OpenAPI generator v4.3.0
Signed-off-by: Nabarun Pal <pal.nabarun95@gmail.com>
2020-07-16 13:42:39 +05:30

182 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-1.16
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kubernetes.client.configuration import Configuration
class V1beta1EventSeries(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 = {
'count': 'int',
'last_observed_time': 'datetime',
'state': 'str'
}
attribute_map = {
'count': 'count',
'last_observed_time': 'lastObservedTime',
'state': 'state'
}
def __init__(self, count=None, last_observed_time=None, state=None, local_vars_configuration=None): # noqa: E501
"""V1beta1EventSeries - 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._count = None
self._last_observed_time = None
self._state = None
self.discriminator = None
self.count = count
self.last_observed_time = last_observed_time
self.state = state
@property
def count(self):
"""Gets the count of this V1beta1EventSeries. # noqa: E501
Number of occurrences in this series up to the last heartbeat time # noqa: E501
:return: The count of this V1beta1EventSeries. # noqa: E501
:rtype: int
"""
return self._count
@count.setter
def count(self, count):
"""Sets the count of this V1beta1EventSeries.
Number of occurrences in this series up to the last heartbeat time # noqa: E501
:param count: The count of this V1beta1EventSeries. # noqa: E501
:type: int
"""
if self.local_vars_configuration.client_side_validation and count is None: # noqa: E501
raise ValueError("Invalid value for `count`, must not be `None`") # noqa: E501
self._count = count
@property
def last_observed_time(self):
"""Gets the last_observed_time of this V1beta1EventSeries. # noqa: E501
Time when last Event from the series was seen before last heartbeat. # noqa: E501
:return: The last_observed_time of this V1beta1EventSeries. # noqa: E501
:rtype: datetime
"""
return self._last_observed_time
@last_observed_time.setter
def last_observed_time(self, last_observed_time):
"""Sets the last_observed_time of this V1beta1EventSeries.
Time when last Event from the series was seen before last heartbeat. # noqa: E501
:param last_observed_time: The last_observed_time of this V1beta1EventSeries. # noqa: E501
:type: datetime
"""
if self.local_vars_configuration.client_side_validation and last_observed_time is None: # noqa: E501
raise ValueError("Invalid value for `last_observed_time`, must not be `None`") # noqa: E501
self._last_observed_time = last_observed_time
@property
def state(self):
"""Gets the state of this V1beta1EventSeries. # noqa: E501
Information whether this series is ongoing or finished. Deprecated. Planned removal for 1.18 # noqa: E501
:return: The state of this V1beta1EventSeries. # noqa: E501
:rtype: str
"""
return self._state
@state.setter
def state(self, state):
"""Sets the state of this V1beta1EventSeries.
Information whether this series is ongoing or finished. Deprecated. Planned removal for 1.18 # noqa: E501
:param state: The state of this V1beta1EventSeries. # noqa: E501
:type: str
"""
if self.local_vars_configuration.client_side_validation and state is None: # noqa: E501
raise ValueError("Invalid value for `state`, must not be `None`") # noqa: E501
self._state = state
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, V1beta1EventSeries):
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, V1beta1EventSeries):
return True
return self.to_dict() != other.to_dict()