airflow.providers.cncf.kubernetes.utils.pod_manager
¶
Launches PODs.
Module Contents¶
Classes¶
Possible pod phases. |
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Protocol to define methods relied upon by KubernetesPodOperator. |
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Return the status of the pod and last log time when exiting from fetch_container_logs. |
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Create, monitor, and otherwise interact with Kubernetes pods for use with the KubernetesPodOperator. |
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Action to take when the pod finishes. |
Functions¶
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Check if an Exception indicates a transient error and warrants retrying. |
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Retrieve container status. |
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Examine V1Pod |
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Examine V1Pod |
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Examine V1Pod |
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Examine V1Pod |
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- exception airflow.providers.cncf.kubernetes.utils.pod_manager.PodLaunchFailedException[source]¶
Bases:
airflow.exceptions.AirflowException
When pod launching fails in KubernetesPodOperator.
- airflow.providers.cncf.kubernetes.utils.pod_manager.should_retry_start_pod(exception)[source]¶
Check if an Exception indicates a transient error and warrants retrying.
- class airflow.providers.cncf.kubernetes.utils.pod_manager.PodPhase[source]¶
Possible pod phases.
See https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#pod-phase.
- class airflow.providers.cncf.kubernetes.utils.pod_manager.PodOperatorHookProtocol[source]¶
Bases:
Protocol
Protocol to define methods relied upon by KubernetesPodOperator.
Subclasses of KubernetesPodOperator, such as GKEStartPodOperator, may use hooks that don’t extend KubernetesHook. We use this protocol to document the methods used by KPO and ensure that these methods exist on such other hooks.
- property is_in_cluster: bool[source]¶
Expose whether the hook is configured with
load_incluster_config
or not.
- airflow.providers.cncf.kubernetes.utils.pod_manager.get_container_status(pod, container_name)[source]¶
Retrieve container status.
- airflow.providers.cncf.kubernetes.utils.pod_manager.container_is_running(pod, container_name)[source]¶
Examine V1Pod
pod
to determine whethercontainer_name
is running.If that container is present and running, returns True. Returns False otherwise.
- airflow.providers.cncf.kubernetes.utils.pod_manager.container_is_completed(pod, container_name)[source]¶
Examine V1Pod
pod
to determine whethercontainer_name
is completed.If that container is present and completed, returns True. Returns False otherwise.
- airflow.providers.cncf.kubernetes.utils.pod_manager.container_is_succeeded(pod, container_name)[source]¶
Examine V1Pod
pod
to determine whethercontainer_name
is completed and succeeded.If that container is present and completed and succeeded, returns True. Returns False otherwise.
- airflow.providers.cncf.kubernetes.utils.pod_manager.container_is_terminated(pod, container_name)[source]¶
Examine V1Pod
pod
to determine whethercontainer_name
is terminated.If that container is present and terminated, returns True. Returns False otherwise.
- airflow.providers.cncf.kubernetes.utils.pod_manager.get_container_termination_message(pod, container_name)[source]¶
- class airflow.providers.cncf.kubernetes.utils.pod_manager.PodLoggingStatus[source]¶
Return the status of the pod and last log time when exiting from fetch_container_logs.
- class airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager(kube_client, progress_callback=None)[source]¶
Bases:
airflow.utils.log.logging_mixin.LoggingMixin
Create, monitor, and otherwise interact with Kubernetes pods for use with the KubernetesPodOperator.
- await_pod_start(pod, startup_timeout=120)[source]¶
Wait for the pod to reach phase other than
Pending
.- Parameters
pod (kubernetes.client.models.v1_pod.V1Pod) –
startup_timeout (int) – Timeout (in seconds) for startup of the pod (if pod is pending for too long, fails task)
- Returns
- Return type
None
- fetch_container_logs(pod, container_name, *, follow=False, since_time=None, post_termination_timeout=120)[source]¶
Follow the logs of container and stream to airflow logging.
Returns when container exits.
Between when the pod starts and logs being available, there might be a delay due to CSR not approved and signed yet. In such situation, ApiException is thrown. This is why we are retrying on this specific exception.
- fetch_requested_container_logs(pod, container_logs, follow_logs=False)[source]¶
Follow the logs of containers in the specified pod and publish it to airflow logging.
Returns when all the containers exit.
- await_container_completion(pod, container_name)[source]¶
Wait for the given container in the given pod to be completed.
- Parameters
pod (kubernetes.client.models.v1_pod.V1Pod) – pod spec that will be monitored
container_name (str) – name of the container within the pod to monitor
- await_pod_completion(pod, istio_enabled=False, container_name='base')[source]¶
Monitor a pod and return the final state.
- container_is_terminated(pod, container_name)[source]¶
Read pod and checks if container is terminated.
- read_pod_logs(pod, container_name, tail_lines=None, timestamps=False, since_seconds=None, follow=True, post_termination_timeout=120)[source]¶
Read log from the POD.