airflow cloudwatch_task_handler 源码
airflow cloudwatch_task_handler 代码
文件路径:/airflow/providers/amazon/aws/log/cloudwatch_task_handler.py
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from datetime import datetime
import watchtower
from airflow.compat.functools import cached_property
from airflow.configuration import conf
from airflow.providers.amazon.aws.hooks.logs import AwsLogsHook
from airflow.utils.log.file_task_handler import FileTaskHandler
from airflow.utils.log.logging_mixin import LoggingMixin
class CloudwatchTaskHandler(FileTaskHandler, LoggingMixin):
"""
CloudwatchTaskHandler is a python log handler that handles and reads task instance logs.
It extends airflow FileTaskHandler and uploads to and reads from Cloudwatch.
:param base_log_folder: base folder to store logs locally
:param log_group_arn: ARN of the Cloudwatch log group for remote log storage
with format ``arn:aws:logs:{region name}:{account id}:log-group:{group name}``
:param filename_template: template for file name (local storage) or log stream name (remote)
"""
def __init__(self, base_log_folder: str, log_group_arn: str, filename_template: str | None = None):
super().__init__(base_log_folder, filename_template)
split_arn = log_group_arn.split(':')
self.handler = None
self.log_group = split_arn[6]
self.region_name = split_arn[3]
self.closed = False
@cached_property
def hook(self):
"""Returns AwsLogsHook."""
return AwsLogsHook(
aws_conn_id=conf.get('logging', 'REMOTE_LOG_CONN_ID'), region_name=self.region_name
)
def _render_filename(self, ti, try_number):
# Replace unsupported log group name characters
return super()._render_filename(ti, try_number).replace(':', '_')
def set_context(self, ti):
super().set_context(ti)
self.handler = watchtower.CloudWatchLogHandler(
log_group_name=self.log_group,
log_stream_name=self._render_filename(ti, ti.try_number),
boto3_client=self.hook.get_conn(),
)
def close(self):
"""Close the handler responsible for the upload of the local log file to Cloudwatch."""
# When application exit, system shuts down all handlers by
# calling close method. Here we check if logger is already
# closed to prevent uploading the log to remote storage multiple
# times when `logging.shutdown` is called.
if self.closed:
return
if self.handler is not None:
self.handler.close()
# Mark closed so we don't double write if close is called twice
self.closed = True
def _read(self, task_instance, try_number, metadata=None):
stream_name = self._render_filename(task_instance, try_number)
return (
f'*** Reading remote log from Cloudwatch log_group: {self.log_group} '
f'log_stream: {stream_name}.\n{self.get_cloudwatch_logs(stream_name=stream_name)}\n',
{'end_of_log': True},
)
def get_cloudwatch_logs(self, stream_name: str) -> str:
"""
Return all logs from the given log stream.
:param stream_name: name of the Cloudwatch log stream to get all logs from
:return: string of all logs from the given log stream
"""
try:
events = self.hook.get_log_events(
log_group=self.log_group,
log_stream_name=stream_name,
start_from_head=True,
)
return '\n'.join(self._event_to_str(event) for event in events)
except Exception:
msg = f'Could not read remote logs from log_group: {self.log_group} log_stream: {stream_name}.'
self.log.exception(msg)
return msg
def _event_to_str(self, event: dict) -> str:
event_dt = datetime.utcfromtimestamp(event['timestamp'] / 1000.0)
formatted_event_dt = event_dt.strftime('%Y-%m-%d %H:%M:%S,%f')[:-3]
message = event['message']
return f'[{formatted_event_dt}] {message}'
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