airflow pod_launcher_deprecated 源码

airflow pod_launcher_deprecated 代码

文件路径：/airflow/kubernetes/pod_launcher_deprecated.py

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# to you under the Apache License, Version 2.0 (the
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#
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"""Launches PODs"""
from __future__ import annotations

import json
import math
import time
import warnings
from datetime import datetime as dt

import pendulum
import tenacity
from kubernetes import client, watch
from kubernetes.client.models.v1_pod import V1Pod
from kubernetes.client.rest import ApiException
from kubernetes.stream import stream as kubernetes_stream
from requests.exceptions import HTTPError

from airflow.exceptions import AirflowException, RemovedInAirflow3Warning
from airflow.kubernetes.kube_client import get_kube_client
from airflow.kubernetes.pod_generator import PodDefaults
from airflow.settings import pod_mutation_hook
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.state import State

warnings.warn(
    """
    Please use :mod: Please use `airflow.providers.cncf.kubernetes.utils.pod_manager`

    To use this module install the provider package by installing this pip package:

    https://pypi.org/project/apache-airflow-providers-cncf-kubernetes/

    """,
    RemovedInAirflow3Warning,
    stacklevel=2,
)


class PodStatus:
    """Status of the PODs"""

    PENDING = 'pending'
    RUNNING = 'running'
    FAILED = 'failed'
    SUCCEEDED = 'succeeded'


class PodLauncher(LoggingMixin):
    """Deprecated class for launching pods. please use
    airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager instead
    """

    def __init__(
        self,
        kube_client: client.CoreV1Api = None,
        in_cluster: bool = True,
        cluster_context: str | None = None,
        extract_xcom: bool = False,
    ):
        """
        Deprecated class for launching pods. please use
        airflow.providers.cncf.kubernetes.utils.pod_manager.PodManager instead
        Creates the launcher.

        :param kube_client: kubernetes client
        :param in_cluster: whether we are in cluster
        :param cluster_context: context of the cluster
        :param extract_xcom: whether we should extract xcom
        """
        super().__init__()
        self._client = kube_client or get_kube_client(in_cluster=in_cluster, cluster_context=cluster_context)
        self._watch = watch.Watch()
        self.extract_xcom = extract_xcom

    def run_pod_async(self, pod: V1Pod, **kwargs):
        """Runs POD asynchronously"""
        pod_mutation_hook(pod)

        sanitized_pod = self._client.api_client.sanitize_for_serialization(pod)
        json_pod = json.dumps(sanitized_pod, indent=2)

        self.log.debug('Pod Creation Request: \n%s', json_pod)
        try:
            resp = self._client.create_namespaced_pod(
                body=sanitized_pod, namespace=pod.metadata.namespace, **kwargs
            )
            self.log.debug('Pod Creation Response: %s', resp)
        except Exception as e:
            self.log.exception('Exception when attempting to create Namespaced Pod: %s', json_pod)
            raise e
        return resp

    def delete_pod(self, pod: V1Pod):
        """Deletes POD"""
        try:
            self._client.delete_namespaced_pod(
                pod.metadata.name, pod.metadata.namespace, body=client.V1DeleteOptions()
            )
        except ApiException as e:
            # If the pod is already deleted
            if e.status != 404:
                raise

    def start_pod(self, pod: V1Pod, startup_timeout: int = 120):
        """
        Launches the pod synchronously and waits for completion.

        :param pod:
        :param startup_timeout: Timeout for startup of the pod (if pod is pending for too long, fails task)
        :return:
        """
        resp = self.run_pod_async(pod)
        curr_time = dt.now()
        if resp.status.start_time is None:
            while self.pod_not_started(pod):
                self.log.warning("Pod not yet started: %s", pod.metadata.name)
                delta = dt.now() - curr_time
                if delta.total_seconds() >= startup_timeout:
                    raise AirflowException("Pod took too long to start")
                time.sleep(1)

    def monitor_pod(self, pod: V1Pod, get_logs: bool) -> tuple[State, str | None]:
        """
        Monitors a pod and returns the final state

        :param pod: pod spec that will be monitored
        :param get_logs: whether to read the logs locally
        :return:  Tuple[State, Optional[str]]
        """
        if get_logs:
            read_logs_since_sec = None
            last_log_time = None
            while True:
                logs = self.read_pod_logs(pod, timestamps=True, since_seconds=read_logs_since_sec)
                for line in logs:
                    timestamp, message = self.parse_log_line(line.decode('utf-8'))
                    if timestamp:
                        last_log_time = pendulum.parse(timestamp)
                    self.log.info(message)
                time.sleep(1)

                if not self.base_container_is_running(pod):
                    break

                self.log.warning('Pod %s log read interrupted', pod.metadata.name)
                if last_log_time:
                    delta = pendulum.now() - last_log_time
                    # Prefer logs duplication rather than loss
                    read_logs_since_sec = math.ceil(delta.total_seconds())
        result = None
        if self.extract_xcom:
            while self.base_container_is_running(pod):
                self.log.info('Container %s has state %s', pod.metadata.name, State.RUNNING)
                time.sleep(2)
            result = self._extract_xcom(pod)
            self.log.info(result)
            result = json.loads(result)
        while self.pod_is_running(pod):
            self.log.info('Pod %s has state %s', pod.metadata.name, State.RUNNING)
            time.sleep(2)
        return self._task_status(self.read_pod(pod)), result

    def parse_log_line(self, line: str) -> tuple[str | None, str]:
        """
        Parse K8s log line and returns the final state

        :param line: k8s log line
        :return: timestamp and log message
        :rtype: Tuple[str, str]
        """
        split_at = line.find(' ')
        if split_at == -1:
            self.log.error(
                "Error parsing timestamp (no timestamp in message: %r). "
                "Will continue execution but won't update timestamp",
                line,
            )
            return None, line
        timestamp = line[:split_at]
        message = line[split_at + 1 :].rstrip()
        return timestamp, message

    def _task_status(self, event):
        self.log.info('Event: %s had an event of type %s', event.metadata.name, event.status.phase)
        status = self.process_status(event.metadata.name, event.status.phase)
        return status

    def pod_not_started(self, pod: V1Pod):
        """Tests if pod has not started"""
        state = self._task_status(self.read_pod(pod))
        return state == State.QUEUED

    def pod_is_running(self, pod: V1Pod):
        """Tests if pod is running"""
        state = self._task_status(self.read_pod(pod))
        return state not in (State.SUCCESS, State.FAILED)

    def base_container_is_running(self, pod: V1Pod):
        """Tests if base container is running"""
        event = self.read_pod(pod)
        status = next((s for s in event.status.container_statuses if s.name == 'base'), None)
        if not status:
            return False
        return status.state.running is not None

    @tenacity.retry(stop=tenacity.stop_after_attempt(3), wait=tenacity.wait_exponential(), reraise=True)
    def read_pod_logs(
        self,
        pod: V1Pod,
        tail_lines: int | None = None,
        timestamps: bool = False,
        since_seconds: int | None = None,
    ):
        """Reads log from the POD"""
        additional_kwargs = {}
        if since_seconds:
            additional_kwargs['since_seconds'] = since_seconds

        if tail_lines:
            additional_kwargs['tail_lines'] = tail_lines

        try:
            return self._client.read_namespaced_pod_log(
                name=pod.metadata.name,
                namespace=pod.metadata.namespace,
                container='base',
                follow=True,
                timestamps=timestamps,
                _preload_content=False,
                **additional_kwargs,
            )
        except HTTPError as e:
            raise AirflowException(f'There was an error reading the kubernetes API: {e}')

    @tenacity.retry(stop=tenacity.stop_after_attempt(3), wait=tenacity.wait_exponential(), reraise=True)
    def read_pod_events(self, pod):
        """Reads events from the POD"""
        try:
            return self._client.list_namespaced_event(
                namespace=pod.metadata.namespace, field_selector=f"involvedObject.name={pod.metadata.name}"
            )
        except HTTPError as e:
            raise AirflowException(f'There was an error reading the kubernetes API: {e}')

    @tenacity.retry(stop=tenacity.stop_after_attempt(3), wait=tenacity.wait_exponential(), reraise=True)
    def read_pod(self, pod: V1Pod):
        """Read POD information"""
        try:
            return self._client.read_namespaced_pod(pod.metadata.name, pod.metadata.namespace)
        except HTTPError as e:
            raise AirflowException(f'There was an error reading the kubernetes API: {e}')

    def _extract_xcom(self, pod: V1Pod):
        resp = kubernetes_stream(
            self._client.connect_get_namespaced_pod_exec,
            pod.metadata.name,
            pod.metadata.namespace,
            container=PodDefaults.SIDECAR_CONTAINER_NAME,
            command=['/bin/sh'],
            stdin=True,
            stdout=True,
            stderr=True,
            tty=False,
            _preload_content=False,
        )
        try:
            result = self._exec_pod_command(resp, f'cat {PodDefaults.XCOM_MOUNT_PATH}/return.json')
            self._exec_pod_command(resp, 'kill -s SIGINT 1')
        finally:
            resp.close()
        if result is None:
            raise AirflowException(f'Failed to extract xcom from pod: {pod.metadata.name}')
        return result

    def _exec_pod_command(self, resp, command):
        if resp.is_open():
            self.log.info('Running command... %s\n', command)
            resp.write_stdin(command + '\n')
            while resp.is_open():
                resp.update(timeout=1)
                if resp.peek_stdout():
                    return resp.read_stdout()
                if resp.peek_stderr():
                    self.log.info(resp.read_stderr())
                    break
        return None

    def process_status(self, job_id, status):
        """Process status information for the JOB"""
        status = status.lower()
        if status == PodStatus.PENDING:
            return State.QUEUED
        elif status == PodStatus.FAILED:
            self.log.error('Event with job id %s Failed', job_id)
            return State.FAILED
        elif status == PodStatus.SUCCEEDED:
            self.log.info('Event with job id %s Succeeded', job_id)
            return State.SUCCESS
        elif status == PodStatus.RUNNING:
            return State.RUNNING
        else:
            self.log.error('Event: Invalid state %s on job %s', status, job_id)
            return State.FAILED

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