airflow file_task_handler 源码
airflow file_task_handler 代码
文件路径：/airflow/utils/log/file_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.
"""File logging handler for tasks."""
from __future__ import annotations
import logging
import os
import warnings
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urljoin
from airflow.configuration import AirflowConfigException, conf
from airflow.exceptions import RemovedInAirflow3Warning
from airflow.utils.context import Context
from airflow.utils.helpers import parse_template_string, render_template_to_string
from airflow.utils.log.logging_mixin import DISABLE_PROPOGATE
from airflow.utils.log.non_caching_file_handler import NonCachingFileHandler
from airflow.utils.session import create_session
from airflow.utils.state import State
if TYPE_CHECKING:
from airflow.models import TaskInstance
class FileTaskHandler(logging.Handler):
"""
FileTaskHandler is a python log handler that handles and reads
task instance logs. It creates and delegates log handling
to `logging.FileHandler` after receiving task instance context.
It reads logs from task instance's host machine.
:param base_log_folder: Base log folder to place logs.
:param filename_template: template filename string
"""
def __init__(self, base_log_folder: str, filename_template: str | None = None):
super().__init__()
self.handler: logging.FileHandler | None = None
self.local_base = base_log_folder
if filename_template is not None:
warnings.warn(
"Passing filename_template to a log handler is deprecated and has no effect",
RemovedInAirflow3Warning,
# We want to reference the stack that actually instantiates the
# handler, not the one that calls super()__init__.
stacklevel=(2 if type(self) == FileTaskHandler else 3),
)
def set_context(self, ti: TaskInstance):
"""
Provide task_instance context to airflow task handler.
:param ti: task instance object
"""
local_loc = self._init_file(ti)
self.handler = NonCachingFileHandler(local_loc, encoding='utf-8')
if self.formatter:
self.handler.setFormatter(self.formatter)
self.handler.setLevel(self.level)
return DISABLE_PROPOGATE
def emit(self, record):
if self.handler:
self.handler.emit(record)
def flush(self):
if self.handler:
self.handler.flush()
def close(self):
if self.handler:
self.handler.close()
def _render_filename(self, ti: TaskInstance, try_number: int) -> str:
with create_session() as session:
dag_run = ti.get_dagrun(session=session)
template = dag_run.get_log_template(session=session).filename
str_tpl, jinja_tpl = parse_template_string(template)
if jinja_tpl:
if hasattr(ti, "task"):
context = ti.get_template_context()
else:
context = Context(ti=ti, ts=dag_run.logical_date.isoformat())
context["try_number"] = try_number
return render_template_to_string(jinja_tpl, context)
elif str_tpl:
try:
dag = ti.task.dag
except AttributeError: # ti.task is not always set.
data_interval = (dag_run.data_interval_start, dag_run.data_interval_end)
else:
if TYPE_CHECKING:
assert dag is not None
data_interval = dag.get_run_data_interval(dag_run)
if data_interval[0]:
data_interval_start = data_interval[0].isoformat()
else:
data_interval_start = ""
if data_interval[1]:
data_interval_end = data_interval[1].isoformat()
else:
data_interval_end = ""
return str_tpl.format(
dag_id=ti.dag_id,
task_id=ti.task_id,
run_id=ti.run_id,
data_interval_start=data_interval_start,
data_interval_end=data_interval_end,
execution_date=ti.get_dagrun().logical_date.isoformat(),
try_number=try_number,
)
else:
raise RuntimeError(f"Unable to render log filename for {ti}. This should never happen")
def _read_grouped_logs(self):
return False
def _read(self, ti: TaskInstance, try_number: int, metadata: dict[str, Any] | None = None):
"""
Template method that contains custom logic of reading
logs given the try_number.
:param ti: task instance record
:param try_number: current try_number to read log from
:param metadata: log metadata,
can be used for steaming log reading and auto-tailing.
Following attributes are used:
log_pos: (absolute) Char position to which the log
which was retrieved in previous calls, this
part will be skipped and only following test
returned to be added to tail.
:return: log message as a string and metadata.
Following attributes are used in metadata:
end_of_log: Boolean, True if end of log is reached or False
if further calls might get more log text.
This is determined by the status of the TaskInstance
log_pos: (absolute) Char position to which the log is retrieved
"""
from airflow.utils.jwt_signer import JWTSigner
# Task instance here might be different from task instance when
# initializing the handler. Thus explicitly getting log location
# is needed to get correct log path.
log_relative_path = self._render_filename(ti, try_number)
location = os.path.join(self.local_base, log_relative_path)
log = ""
if os.path.exists(location):
try:
with open(location, encoding="utf-8", errors="surrogateescape") as file:
log += f"*** Reading local file: {location}\n"
log += "".join(file.readlines())
except Exception as e:
log = f"*** Failed to load local log file: {location}\n"
log += f"*** {str(e)}\n"
return log, {'end_of_log': True}
elif conf.get('core', 'executor') == 'KubernetesExecutor':
try:
from airflow.kubernetes.kube_client import get_kube_client
kube_client = get_kube_client()
if len(ti.hostname) >= 63:
# Kubernetes takes the pod name and truncates it for the hostname. This truncated hostname
# is returned for the fqdn to comply with the 63 character limit imposed by DNS standards
# on any label of a FQDN.
pod_list = kube_client.list_namespaced_pod(conf.get('kubernetes_executor', 'namespace'))
matches = [
pod.metadata.name
for pod in pod_list.items
if pod.metadata.name.startswith(ti.hostname)
]
if len(matches) == 1:
if len(matches[0]) > len(ti.hostname):
ti.hostname = matches[0]
log += f'*** Trying to get logs (last 100 lines) from worker pod {ti.hostname} ***\n\n'
res = kube_client.read_namespaced_pod_log(
name=ti.hostname,
namespace=conf.get('kubernetes_executor', 'namespace'),
container='base',
follow=False,
tail_lines=100,
_preload_content=False,
)
for line in res:
log += line.decode()
except Exception as f:
log += f'*** Unable to fetch logs from worker pod {ti.hostname} ***\n{str(f)}\n\n'
return log, {'end_of_log': True}
else:
import httpx
url = self._get_log_retrieval_url(ti, log_relative_path)
log += f"*** Log file does not exist: {location}\n"
log += f"*** Fetching from: {url}\n"
try:
timeout = None # No timeout
try:
timeout = conf.getint('webserver', 'log_fetch_timeout_sec')
except (AirflowConfigException, ValueError):
pass
signer = JWTSigner(
secret_key=conf.get('webserver', 'secret_key'),
expiration_time_in_seconds=conf.getint(
'webserver', 'log_request_clock_grace', fallback=30
),
audience="task-instance-logs",
)
response = httpx.get(
url,
timeout=timeout,
headers={'Authorization': signer.generate_signed_token({"filename": log_relative_path})},
)
response.encoding = "utf-8"
if response.status_code == 403:
log += (
"*** !!!! Please make sure that all your Airflow components (e.g. "
"schedulers, webservers and workers) have "
"the same 'secret_key' configured in 'webserver' section and "
"time is synchronized on all your machines (for example with ntpd) !!!!!\n***"
)
log += (
"*** See more at https://airflow.apache.org/docs/apache-airflow/"
"stable/configurations-ref.html#secret-key\n***"
)
# Check if the resource was properly fetched
response.raise_for_status()
log += '\n' + response.text
except Exception as e:
log += f"*** Failed to fetch log file from worker. {str(e)}\n"
return log, {'end_of_log': True}
# Process tailing if log is not at it's end
end_of_log = ti.try_number != try_number or ti.state not in State.running
log_pos = len(log)
if metadata and 'log_pos' in metadata:
previous_chars = metadata['log_pos']
log = log[previous_chars:] # Cut off previously passed log test as new tail
return log, {'end_of_log': end_of_log, 'log_pos': log_pos}
@staticmethod
def _get_log_retrieval_url(ti: TaskInstance, log_relative_path: str) -> str:
url = urljoin(
f"http://{ti.hostname}:{conf.get('logging', 'WORKER_LOG_SERVER_PORT')}/log/",
log_relative_path,
)
return url
def read(self, task_instance, try_number=None, metadata=None):
"""
Read logs of given task instance from local machine.
:param task_instance: task instance object
:param try_number: task instance try_number to read logs from. If None
it returns all logs separated by try_number
:param metadata: log metadata,
can be used for steaming log reading and auto-tailing.
:return: a list of listed tuples which order log string by host
"""
# Task instance increments its try number when it starts to run.
# So the log for a particular task try will only show up when
# try number gets incremented in DB, i.e logs produced the time
# after cli run and before try_number + 1 in DB will not be displayed.
if try_number is None:
next_try = task_instance.next_try_number
try_numbers = list(range(1, next_try))
elif try_number < 1:
logs = [
[('default_host', f'Error fetching the logs. Try number {try_number} is invalid.')],
]
return logs, [{'end_of_log': True}]
else:
try_numbers = [try_number]
logs = [''] * len(try_numbers)
metadata_array = [{}] * len(try_numbers)
for i, try_number_element in enumerate(try_numbers):
log, out_metadata = self._read(task_instance, try_number_element, metadata)
# es_task_handler return logs grouped by host. wrap other handler returning log string
# with default/ empty host so that UI can render the response in the same way
logs[i] = log if self._read_grouped_logs() else [(task_instance.hostname, log)]
metadata_array[i] = out_metadata
return logs, metadata_array
def _init_file(self, ti):
"""
Create log directory and give it correct permissions.
:param ti: task instance object
:return: relative log path of the given task instance
"""
# To handle log writing when tasks are impersonated, the log files need to
# be writable by the user that runs the Airflow command and the user
# that is impersonated. This is mainly to handle corner cases with the
# SubDagOperator. When the SubDagOperator is run, all of the operators
# run under the impersonated user and create appropriate log files
# as the impersonated user. However, if the user manually runs tasks
# of the SubDagOperator through the UI, then the log files are created
# by the user that runs the Airflow command. For example, the Airflow
# run command may be run by the `airflow_sudoable` user, but the Airflow
# tasks may be run by the `airflow` user. If the log files are not
# writable by both users, then it's possible that re-running a task
# via the UI (or vice versa) results in a permission error as the task
# tries to write to a log file created by the other user.
relative_path = self._render_filename(ti, ti.try_number)
full_path = os.path.join(self.local_base, relative_path)
directory = os.path.dirname(full_path)
# Create the log file and give it group writable permissions
# TODO(aoen): Make log dirs and logs globally readable for now since the SubDag
# operator is not compatible with impersonation (e.g. if a Celery executor is used
# for a SubDag operator and the SubDag operator has a different owner than the
# parent DAG)
Path(directory).mkdir(mode=0o777, parents=True, exist_ok=True)
if not os.path.exists(full_path):
open(full_path, "a").close()
# TODO: Investigate using 444 instead of 666.
try:
os.chmod(full_path, 0o666)
except OSError:
logging.warning("OSError while change ownership of the log file")
return full_path
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