Source code for airflow.contrib.operators.ecs_operator

# -*- coding: utf-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
import sys
import re
from datetime import datetime

from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.utils import apply_defaults

from airflow.contrib.hooks.aws_hook import AwsHook
from airflow.contrib.hooks.aws_logs_hook import AwsLogsHook

[docs]class ECSOperator(BaseOperator): """ Execute a task on AWS EC2 Container Service :param task_definition: the task definition name on EC2 Container Service :type task_definition: str :param cluster: the cluster name on EC2 Container Service :type cluster: str :param overrides: the same parameter that boto3 will receive (templated): :type overrides: dict :param aws_conn_id: connection id of AWS credentials / region name. If None, credential boto3 strategy will be used ( :type aws_conn_id: str :param region_name: region name to use in AWS Hook. Override the region_name in connection (if provided) :type region_name: str :param launch_type: the launch type on which to run your task ('EC2' or 'FARGATE') :type launch_type: str :param group: the name of the task group associated with the task :type group: str :param placement_constraints: an array of placement constraint objects to use for the task :type placement_constraints: list :param platform_version: the platform version on which your task is running :type platform_version: str :param network_configuration: the network configuration for the task :type network_configuration: dict :param tags: a dictionary of tags in the form of {'tagKey': 'tagValue'}. :type tags: dict :param awslogs_group: the CloudWatch group where your ECS container logs are stored. Only required if you want logs to be shown in the Airflow UI after your job has finished. :type awslogs_group: str :param awslogs_region: the region in which your CloudWatch logs are stored. If None, this is the same as the `region_name` parameter. If that is also None, this is the default AWS region based on your connection settings. :type awslogs_region: str :param awslogs_stream_prefix: the stream prefix that is used for the CloudWatch logs. This is usually based on some custom name combined with the name of the container. Only required if you want logs to be shown in the Airflow UI after your job has finished. :type awslogs_stream_prefix: str """
[docs] ui_color = '#f0ede4'
[docs] client = None
[docs] arn = None
[docs] template_fields = ('overrides',)
@apply_defaults def __init__(self, task_definition, cluster, overrides, aws_conn_id=None, region_name=None, launch_type='EC2', group=None, placement_constraints=None, platform_version='LATEST', network_configuration=None, tags=None, awslogs_group=None, awslogs_region=None, awslogs_stream_prefix=None, **kwargs): super(ECSOperator, self).__init__(**kwargs) self.aws_conn_id = aws_conn_id self.region_name = region_name self.task_definition = task_definition self.cluster = cluster self.overrides = overrides self.launch_type = launch_type = group self.placement_constraints = placement_constraints self.platform_version = platform_version self.network_configuration = network_configuration self.tags = tags self.awslogs_group = awslogs_group self.awslogs_stream_prefix = awslogs_stream_prefix self.awslogs_region = awslogs_region if self.awslogs_region is None: self.awslogs_region = region_name self.hook = self.get_hook()
[docs] def execute(self, context): 'Running ECS Task - Task definition: %s - on cluster %s', self.task_definition, self.cluster )'ECSOperator overrides: %s', self.overrides) self.client = self.hook.get_client_type( 'ecs', region_name=self.region_name ) run_opts = { 'cluster': self.cluster, 'taskDefinition': self.task_definition, 'overrides': self.overrides, 'startedBy': self.owner, 'launchType': self.launch_type, } if self.launch_type == 'FARGATE': run_opts['platformVersion'] = self.platform_version if is not None: run_opts['group'] = if self.placement_constraints is not None: run_opts['placementConstraints'] = self.placement_constraints if self.network_configuration is not None: run_opts['networkConfiguration'] = self.network_configuration if self.tags is not None: run_opts['tags'] = [{'key': k, 'value': v} for (k, v) in self.tags.items()] response = self.client.run_task(**run_opts) failures = response['failures'] if len(failures) > 0: raise AirflowException(response)'ECS Task started: %s', response) self.arn = response['tasks'][0]['taskArn'] self._wait_for_task_ended() self._check_success_task()'ECS Task has been successfully executed: %s', response)
[docs] def _wait_for_task_ended(self): waiter = self.client.get_waiter('tasks_stopped') waiter.config.max_attempts = sys.maxsize # timeout is managed by airflow waiter.wait( cluster=self.cluster, tasks=[self.arn]
[docs] def _check_success_task(self): response = self.client.describe_tasks( cluster=self.cluster, tasks=[self.arn] )'ECS Task stopped, check status: %s', response) # Get logs from CloudWatch if the awslogs log driver was used if self.awslogs_group and self.awslogs_stream_prefix:'ECS Task logs output:') task_id = self.arn.split("/")[-1] stream_name = "{}/{}".format(self.awslogs_stream_prefix, task_id) for event in self.get_logs_hook().get_log_events(self.awslogs_group, stream_name): dt = datetime.fromtimestamp(event['timestamp'] / 1000.0)"[{}] {}".format(dt.isoformat(), event['message'])) if len(response.get('failures', [])) > 0: raise AirflowException(response) for task in response['tasks']: # This is a `stoppedReason` that indicates a task has not # successfully finished, but there is no other indication of failure # in the response. # See, # noqa E501 if re.match(r'Host EC2 \(instance .+?\) (stopped|terminated)\.', task.get('stoppedReason', '')): raise AirflowException( 'The task was stopped because the host instance terminated: {}'. format(task.get('stoppedReason', ''))) containers = task['containers'] for container in containers: if container.get('lastStatus') == 'STOPPED' and \ container['exitCode'] != 0: raise AirflowException( 'This task is not in success state {}'.format(task)) elif container.get('lastStatus') == 'PENDING': raise AirflowException('This task is still pending {}'.format(task)) elif 'error' in container.get('reason', '').lower(): raise AirflowException( 'This containers encounter an error during launching : {}'. format(container.get('reason', '').lower()))
[docs] def get_hook(self): return AwsHook( aws_conn_id=self.aws_conn_id
[docs] def get_logs_hook(self): return AwsLogsHook( aws_conn_id=self.aws_conn_id, region_name=self.awslogs_region
[docs] def on_kill(self): response = self.client.stop_task( cluster=self.cluster, task=self.arn, reason='Task killed by the user')

Was this entry helpful?