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#
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from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
from airflow.contrib.kubernetes import kube_client, pod_generator, pod_launcher
from airflow.contrib.kubernetes.pod import Resources
from airflow.utils.state import State
from airflow.contrib.kubernetes.volume_mount import VolumeMount  # noqa
from airflow.contrib.kubernetes.volume import Volume  # noqa
from airflow.contrib.kubernetes.secret import Secret  # noqa

template_fields = ('templates_dict',)
template_ext = tuple()
ui_color = '#ffefeb'


class KubernetesPodOperator(BaseOperator):
    """
    Execute a task in a Kubernetes Pod

    :param image: Docker image you wish to launch. Defaults to dockerhub.io,
        but fully qualified URLS will point to custom repositories
    :type image: str
    :param: namespace: the namespace to run within kubernetes
    :type: namespace: str
    :param cmds: entrypoint of the container. (templated)
        The docker images's entrypoint is used if this is not provide.
    :type cmds: list of str
    :param arguments: arguments of to the entrypoint. (templated)
        The docker image's CMD is used if this is not provided.
    :type arguments: list of str
    :param volume_mounts: volumeMounts for launched pod
    :type volume_mounts: list of VolumeMount
    :param volumes: volumes for launched pod. Includes ConfigMaps and PersistentVolumes
    :type volumes: list of Volume
    :param labels: labels to apply to the Pod
    :type labels: dict
    :param startup_timeout_seconds: timeout in seconds to startup the pod
    :type startup_timeout_seconds: int
    :param name: name of the task you want to run,
        will be used to generate a pod id
    :type name: str
    :param env_vars: Environment variables initialized in the container. (templated)
    :type env_vars: dict
    :param secrets: Kubernetes secrets to inject in the container,
        They can be exposed as environment vars or files in a volume.
    :type secrets: list of Secret
    :param in_cluster: run kubernetes client with in_cluster configuration
    :type in_cluster: bool
    :param cluster_context: context that points to kubernetes cluster.
        Ignored when in_cluster is True. If None, current-context is used.
    :type cluster_context: string
    :param get_logs: get the stdout of the container as logs of the tasks
    :type get_logs: bool
    :param affinity: A dict containing a group of affinity scheduling rules
    :type affinity: dict
    """
    template_fields = ('cmds', 'arguments', 'env_vars')

    def execute(self, context):
        try:
            client = kube_client.get_kube_client(in_cluster=self.in_cluster,
                                                 cluster_context=self.cluster_context)
            gen = pod_generator.PodGenerator()

            for mount in self.volume_mounts:
                gen.add_mount(mount)
            for volume in self.volumes:
                gen.add_volume(volume)

            pod = gen.make_pod(
                namespace=self.namespace,
                image=self.image,
                pod_id=self.name,
                cmds=self.cmds,
                arguments=self.arguments,
                labels=self.labels,
            )

            pod.secrets = self.secrets
            pod.envs = self.env_vars
            pod.image_pull_policy = self.image_pull_policy
            pod.annotations = self.annotations
            pod.resources = self.resources
            pod.affinity = self.affinity

            launcher = pod_launcher.PodLauncher(kube_client=client)
            final_state = launcher.run_pod(
                pod,
                startup_timeout=self.startup_timeout_seconds,
                get_logs=self.get_logs)
            if final_state != State.SUCCESS:
                raise AirflowException(
                    'Pod returned a failure: {state}'.format(state=final_state)
                )
        except AirflowException as ex:
            raise AirflowException('Pod Launching failed: {error}'.format(error=ex))

    @apply_defaults
    def __init__(self,
                 namespace,
                 image,
                 name,
                 cmds=None,
                 arguments=None,
                 volume_mounts=None,
                 volumes=None,
                 env_vars=None,
                 secrets=None,
                 in_cluster=False,
                 cluster_context=None,
                 labels=None,
                 startup_timeout_seconds=120,
                 get_logs=True,
                 image_pull_policy='IfNotPresent',
                 annotations=None,
                 resources=None,
                 affinity=None,
                 *args,
                 **kwargs):
        super(KubernetesPodOperator, self).__init__(*args, **kwargs)
        self.image = image
        self.namespace = namespace
        self.cmds = cmds or []
        self.arguments = arguments or []
        self.labels = labels or {}
        self.startup_timeout_seconds = startup_timeout_seconds
        self.name = name
        self.env_vars = env_vars or {}
        self.volume_mounts = volume_mounts or []
        self.volumes = volumes or []
        self.secrets = secrets or []
        self.in_cluster = in_cluster
        self.cluster_context = cluster_context
        self.get_logs = get_logs
        self.image_pull_policy = image_pull_policy
        self.annotations = annotations or {}
        self.affinity = affinity or {}
        self.resources = resources or Resources()
