Source code for airflow.providers.apache.flink.operators.flink_kubernetes

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from __future__ import annotations

from functools import cached_property
from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.providers.cncf.kubernetes.hooks.kubernetes import KubernetesHook

if TYPE_CHECKING:
    from kubernetes.client import CoreV1Api

    from airflow.utils.context import Context


[docs]class FlinkKubernetesOperator(BaseOperator): """ Creates flinkDeployment object in kubernetes cluster. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:FlinkKubernetesOperator` .. seealso:: For more detail about Flink Deployment Object have a look at the reference: https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/docs/custom-resource/reference/#flinkdeployment :param application_file: Defines Kubernetes 'custom_resource_definition' of 'flinkDeployment' as either a path to a '.yaml' file, '.json' file, YAML string or JSON string. :param namespace: kubernetes namespace to put flinkDeployment :param kubernetes_conn_id: The :ref:`kubernetes connection id <howto/connection:kubernetes>` for the to Kubernetes cluster. :param api_group: kubernetes api group of flinkDeployment :param api_version: kubernetes api version of flinkDeployment :param in_cluster: run kubernetes client with in_cluster configuration. :param cluster_context: context that points to kubernetes cluster. Ignored when in_cluster is True. If None, current-context is used. :param config_file: The path to the Kubernetes config file. (templated) If not specified, default value is ``~/.kube/config`` """
[docs] template_fields: Sequence[str] = ("application_file", "namespace")
[docs] template_ext: Sequence[str] = (".yaml", ".yml", ".json")
[docs] ui_color = "#f4a460"
def __init__( self, *, application_file: str, namespace: str | None = None, kubernetes_conn_id: str = "kubernetes_default", api_group: str = "flink.apache.org", api_version: str = "v1beta1", in_cluster: bool | None = None, cluster_context: str | None = None, config_file: str | None = None, plural: str = "flinkdeployments", **kwargs, ) -> None: super().__init__(**kwargs) self.application_file = application_file self.namespace = namespace self.kubernetes_conn_id = kubernetes_conn_id self.api_group = api_group self.api_version = api_version self.plural = plural self.in_cluster = in_cluster self.cluster_context = cluster_context self.config_file = config_file @cached_property
[docs] def hook(self) -> KubernetesHook: hook = KubernetesHook( conn_id=self.kubernetes_conn_id, in_cluster=self.in_cluster, config_file=self.config_file, cluster_context=self.cluster_context, ) return hook
@cached_property
[docs] def client(self) -> CoreV1Api: return self.hook.core_v1_client
[docs] def execute(self, context: Context): self.log.info( "Creating flinkApplication with Context: %s and op_context: %s", self.cluster_context, context ) self.hook.custom_object_client.list_cluster_custom_object( group=self.api_group, version=self.api_version, plural=self.plural ) self.log.info("body=self.application_file: %s", self.application_file) response = self.hook.create_custom_object( group=self.api_group, version=self.api_version, plural=self.plural, body=self.application_file, namespace=self.namespace, ) return response

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