forked from apache/airflow
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task_command.py
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task_command.py
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#
# 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.
"""Task sub-commands"""
import importlib
import json
import logging
import os
import textwrap
from contextlib import contextmanager, redirect_stderr, redirect_stdout
from typing import List
from airflow import settings
from airflow.cli.simple_table import AirflowConsole
from airflow.configuration import conf
from airflow.exceptions import AirflowException
from airflow.executors.executor_loader import ExecutorLoader
from airflow.jobs.local_task_job import LocalTaskJob
from airflow.models import DagPickle, TaskInstance
from airflow.models.dag import DAG
from airflow.ti_deps.dep_context import DepContext
from airflow.ti_deps.dependencies_deps import SCHEDULER_QUEUED_DEPS
from airflow.utils import cli as cli_utils
from airflow.utils.cli import (
get_dag,
get_dag_by_file_location,
get_dag_by_pickle,
get_dags,
suppress_logs_and_warning,
)
from airflow.utils.log.logging_mixin import StreamLogWriter
from airflow.utils.net import get_hostname
from airflow.utils.session import create_session
def _run_task_by_selected_method(args, dag: DAG, ti: TaskInstance) -> None:
"""
Runs the task in one of 3 modes
- using LocalTaskJob
- as raw task
- by executor
"""
if args.local and args.raw:
raise AirflowException(
"Option --raw and --local are mutually exclusive. "
"Please remove one option to execute the command."
)
if args.local:
_run_task_by_local_task_job(args, ti)
elif args.raw:
_run_raw_task(args, ti)
else:
_run_task_by_executor(args, dag, ti)
def _run_task_by_executor(args, dag, ti):
"""
Sends the task to the executor for execution. This can result in the task being started by another host
if the executor implementation does
"""
pickle_id = None
if args.ship_dag:
try:
# Running remotely, so pickling the DAG
with create_session() as session:
pickle = DagPickle(dag)
session.add(pickle)
pickle_id = pickle.id
# TODO: This should be written to a log
print(f'Pickled dag {dag} as pickle_id: {pickle_id}')
except Exception as e:
print('Could not pickle the DAG')
print(e)
raise e
executor = ExecutorLoader.get_default_executor()
executor.job_id = "manual"
executor.start()
print("Sending to executor.")
executor.queue_task_instance(
ti,
mark_success=args.mark_success,
pickle_id=pickle_id,
ignore_all_deps=args.ignore_all_dependencies,
ignore_depends_on_past=args.ignore_depends_on_past,
ignore_task_deps=args.ignore_dependencies,
ignore_ti_state=args.force,
pool=args.pool,
)
executor.heartbeat()
executor.end()
def _run_task_by_local_task_job(args, ti):
"""Run LocalTaskJob, which monitors the raw task execution process"""
run_job = LocalTaskJob(
task_instance=ti,
mark_success=args.mark_success,
pickle_id=args.pickle,
ignore_all_deps=args.ignore_all_dependencies,
ignore_depends_on_past=args.ignore_depends_on_past,
ignore_task_deps=args.ignore_dependencies,
ignore_ti_state=args.force,
pool=args.pool,
)
try:
run_job.run()
finally:
if args.shut_down_logging:
logging.shutdown()
RAW_TASK_UNSUPPORTED_OPTION = [
"ignore_all_dependencies",
"ignore_depends_on_past",
"ignore_dependencies",
"force",
]
def _run_raw_task(args, ti: TaskInstance) -> None:
"""Runs the main task handling code"""
unsupported_options = [o for o in RAW_TASK_UNSUPPORTED_OPTION if getattr(args, o)]
if unsupported_options:
raise AirflowException(
"Option --raw does not work with some of the other options on this command. You "
"can't use --raw option and the following options: {}. You provided the option {}. "
"Delete it to execute the command".format(
", ".join(f"--{o}" for o in RAW_TASK_UNSUPPORTED_OPTION),
", ".join(f"--{o}" for o in unsupported_options),
)
)
ti._run_raw_task( # pylint: disable=protected-access
mark_success=args.mark_success,
job_id=args.job_id,
pool=args.pool,
error_file=args.error_file,
)
@contextmanager
def _capture_task_logs(ti):
"""Manage logging context for a task run
- Replace the root logger configuration with the airflow.task configuration
so we can capture logs from any custom loggers used in the task.
- Redirect stdout and stderr to the task instance log, as INFO and WARNING
level messages, respectively.
"""
modify = not settings.DONOT_MODIFY_HANDLERS
if modify:
root_logger, task_logger = logging.getLogger(), logging.getLogger('airflow.task')
orig_level = root_logger.level
root_logger.setLevel(task_logger.level)
orig_handlers = root_logger.handlers.copy()
root_logger.handlers[:] = task_logger.handlers
try:
info_writer = StreamLogWriter(ti.log, logging.INFO)
warning_writer = StreamLogWriter(ti.log, logging.WARNING)
with redirect_stdout(info_writer), redirect_stderr(warning_writer):
yield
finally:
if modify:
# Restore the root logger to its original state.
root_logger.setLevel(orig_level)
root_logger.handlers[:] = orig_handlers
@cli_utils.action_logging
def task_run(args, dag=None):
"""Runs a single task instance"""
# Load custom airflow config
if args.cfg_path:
with open(args.cfg_path) as conf_file:
conf_dict = json.load(conf_file)
if os.path.exists(args.cfg_path):
os.remove(args.cfg_path)
conf.read_dict(conf_dict, source=args.cfg_path)
settings.configure_vars()
settings.MASK_SECRETS_IN_LOGS = True
# IMPORTANT, have to use the NullPool, otherwise, each "run" command may leave
# behind multiple open sleeping connections while heartbeating, which could
# easily exceed the database connection limit when
# processing hundreds of simultaneous tasks.
settings.configure_orm(disable_connection_pool=True)
if dag and args.pickle:
raise AirflowException("You cannot use the --pickle option when using DAG.cli() method.")
elif args.pickle:
print(f'Loading pickle id: {args.pickle}')
dag = get_dag_by_pickle(args.pickle)
elif not dag:
dag = get_dag(args.subdir, args.dag_id)
else:
# Use DAG from parameter
pass
task = dag.get_task(task_id=args.task_id)
ti = TaskInstance(task, args.execution_date)
ti.refresh_from_db()
ti.init_run_context(raw=args.raw)
hostname = get_hostname()
print(f"Running {ti} on host {hostname}")
if args.interactive:
_run_task_by_selected_method(args, dag, ti)
else:
with _capture_task_logs(ti):
_run_task_by_selected_method(args, dag, ti)
@cli_utils.action_logging
def task_failed_deps(args):
"""
Returns the unmet dependencies for a task instance from the perspective of the
scheduler (i.e. why a task instance doesn't get scheduled and then queued by the
scheduler, and then run by an executor).
>>> airflow tasks failed-deps tutorial sleep 2015-01-01
Task instance dependencies not met:
Dagrun Running: Task instance's dagrun did not exist: Unknown reason
Trigger Rule: Task's trigger rule 'all_success' requires all upstream tasks
to have succeeded, but found 1 non-success(es).
"""
dag = get_dag(args.subdir, args.dag_id)
task = dag.get_task(task_id=args.task_id)
ti = TaskInstance(task, args.execution_date)
dep_context = DepContext(deps=SCHEDULER_QUEUED_DEPS)
failed_deps = list(ti.get_failed_dep_statuses(dep_context=dep_context))
# TODO, Do we want to print or log this
if failed_deps:
print("Task instance dependencies not met:")
for dep in failed_deps:
print(f"{dep.dep_name}: {dep.reason}")
else:
print("Task instance dependencies are all met.")
@cli_utils.action_logging
def task_state(args):
"""
Returns the state of a TaskInstance at the command line.
>>> airflow tasks state tutorial sleep 2015-01-01
success
"""
dag = get_dag(args.subdir, args.dag_id)
task = dag.get_task(task_id=args.task_id)
ti = TaskInstance(task, args.execution_date)
print(ti.current_state())
@cli_utils.action_logging
def task_list(args, dag=None):
"""Lists the tasks within a DAG at the command line"""
dag = dag or get_dag(args.subdir, args.dag_id)
if args.tree:
dag.tree_view()
else:
tasks = sorted([t.task_id for t in dag.tasks])
print("\n".join(tasks))
SUPPORTED_DEBUGGER_MODULES: List[str] = [
"pudb",
"web_pdb",
"ipdb",
"pdb",
]
def _guess_debugger():
"""
Trying to guess the debugger used by the user. When it doesn't find any user-installed debugger,
returns ``pdb``.
List of supported debuggers:
* `pudb <https://github.com/inducer/pudb>`__
* `web_pdb <https://github.com/romanvm/python-web-pdb>`__
* `ipdb <https://github.com/gotcha/ipdb>`__
* `pdb <https://docs.python.org/3/library/pdb.html>`__
"""
for mod in SUPPORTED_DEBUGGER_MODULES:
try:
return importlib.import_module(mod)
except ImportError:
continue
return importlib.import_module("pdb")
@cli_utils.action_logging
@suppress_logs_and_warning()
def task_states_for_dag_run(args):
"""Get the status of all task instances in a DagRun"""
with create_session() as session:
tis = (
session.query(
TaskInstance.dag_id,
TaskInstance.execution_date,
TaskInstance.task_id,
TaskInstance.state,
TaskInstance.start_date,
TaskInstance.end_date,
)
.filter(TaskInstance.dag_id == args.dag_id, TaskInstance.execution_date == args.execution_date)
.all()
)
if len(tis) == 0:
raise AirflowException("DagRun does not exist.")
AirflowConsole().print_as(
data=tis,
output=args.output,
mapper=lambda ti: {
"dag_id": ti.dag_id,
"execution_date": ti.execution_date.isoformat(),
"task_id": ti.task_id,
"state": ti.state,
"start_date": ti.start_date.isoformat() if ti.start_date else "",
"end_date": ti.end_date.isoformat() if ti.end_date else "",
},
)
@cli_utils.action_logging
def task_test(args, dag=None):
"""Tests task for a given dag_id"""
# We want to log output from operators etc to show up here. Normally
# airflow.task would redirect to a file, but here we want it to propagate
# up to the normal airflow handler.
settings.MASK_SECRETS_IN_LOGS = True
handlers = logging.getLogger('airflow.task').handlers
already_has_stream_handler = False
for handler in handlers:
already_has_stream_handler = isinstance(handler, logging.StreamHandler)
if already_has_stream_handler:
break
if not already_has_stream_handler:
logging.getLogger('airflow.task').propagate = True
env_vars = {'AIRFLOW_TEST_MODE': 'True'}
if args.env_vars:
env_vars.update(args.env_vars)
os.environ.update(env_vars)
dag = dag or get_dag(args.subdir, args.dag_id)
task = dag.get_task(task_id=args.task_id)
# Add CLI provided task_params to task.params
if args.task_params:
passed_in_params = json.loads(args.task_params)
task.params.update(passed_in_params)
ti = TaskInstance(task, args.execution_date)
try:
if args.dry_run:
ti.dry_run()
else:
ti.run(ignore_task_deps=True, ignore_ti_state=True, test_mode=True)
except Exception: # pylint: disable=broad-except
if args.post_mortem:
debugger = _guess_debugger()
debugger.post_mortem()
else:
raise
finally:
if not already_has_stream_handler:
# Make sure to reset back to normal. When run for CLI this doesn't
# matter, but it does for test suite
logging.getLogger('airflow.task').propagate = False
@cli_utils.action_logging
def task_render(args):
"""Renders and displays templated fields for a given task"""
dag = get_dag(args.subdir, args.dag_id)
task = dag.get_task(task_id=args.task_id)
ti = TaskInstance(task, args.execution_date)
ti.render_templates()
for attr in task.__class__.template_fields:
print(
textwrap.dedent(
"""\
# ----------------------------------------------------------
# property: {}
# ----------------------------------------------------------
{}
""".format(
attr, getattr(task, attr)
)
)
)
@cli_utils.action_logging
def task_clear(args):
"""Clears all task instances or only those matched by regex for a DAG(s)"""
logging.basicConfig(level=settings.LOGGING_LEVEL, format=settings.SIMPLE_LOG_FORMAT)
if args.dag_id and not args.subdir and not args.dag_regex and not args.task_regex:
dags = get_dag_by_file_location(args.dag_id)
else:
# todo clear command only accepts a single dag_id. no reason for get_dags with 's' except regex?
dags = get_dags(args.subdir, args.dag_id, use_regex=args.dag_regex)
if args.task_regex:
for idx, dag in enumerate(dags):
dags[idx] = dag.partial_subset(
task_ids_or_regex=args.task_regex,
include_downstream=args.downstream,
include_upstream=args.upstream,
)
DAG.clear_dags(
dags,
start_date=args.start_date,
end_date=args.end_date,
only_failed=args.only_failed,
only_running=args.only_running,
confirm_prompt=not args.yes,
include_subdags=not args.exclude_subdags,
include_parentdag=not args.exclude_parentdag,
)