kubernetes_asyncio.client.models.v1_endpoint_conditions module

Kubernetes

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The version of the OpenAPI document: v1.34.3 Generated by: https://openapi-generator.tech

class kubernetes_asyncio.client.models.v1_endpoint_conditions.V1EndpointConditions(ready=None, serving=None, terminating=None, local_vars_configuration=None)

Bases: object

NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech

Do not edit the class manually.

attribute_map = {'ready': 'ready', 'serving': 'serving', 'terminating': 'terminating'}
openapi_types = {'ready': 'bool', 'serving': 'bool', 'terminating': 'bool'}
property ready

Gets the ready of this V1EndpointConditions. # noqa: E501

ready indicates that this endpoint is ready to receive traffic, according to whatever system is managing the endpoint. A nil value should be interpreted as “true”. In general, an endpoint should be marked ready if it is serving and not terminating, though this can be overridden in some cases, such as when the associated Service has set the publishNotReadyAddresses flag. # noqa: E501

Returns:

The ready of this V1EndpointConditions. # noqa: E501

Return type:

bool

property serving

Gets the serving of this V1EndpointConditions. # noqa: E501

serving indicates that this endpoint is able to receive traffic, according to whatever system is managing the endpoint. For endpoints backed by pods, the EndpointSlice controller will mark the endpoint as serving if the pod’s Ready condition is True. A nil value should be interpreted as “true”. # noqa: E501

Returns:

The serving of this V1EndpointConditions. # noqa: E501

Return type:

bool

property terminating

Gets the terminating of this V1EndpointConditions. # noqa: E501

terminating indicates that this endpoint is terminating. A nil value should be interpreted as “false”. # noqa: E501

Returns:

The terminating of this V1EndpointConditions. # noqa: E501

Return type:

bool

to_dict(serialize=False)

Returns the model properties as a dict

to_str()

Returns the string representation of the model