prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Airflow 2.7.1 can not start Scheduler & trigger
  ### Apache Airflow version
  
  2.7.1
  
  ### What happened
  
  After upgrade from 2.6.0 to 2.7.1 (try pip uninstall apache-airflow, and clear dir airflow - remove airflow.cfg), I can start scheduler & trigger with daemon. 
  I try start with command, it can start, but logout console it killed.
  I try: airflow scheduler or airflow triggerer :done but kill when logout console
  airflow scheduler --daemon && airflow triggerer --daemon: fail, can not start scheduler & triggerer (2.6.0 run ok). but start deamon with webserver & celery worker is fine
  
  Help me
  
  ### What you think should happen instead
  
  _No response_
  
  ### How to reproduce
  
  1. run airflow 2.6.0 fine on ubuntu server 22.04.3 lts
  2. install airflow 2.7.1 
  3. can not start daemon triggerer & scheduler
  
  ### Operating System
  
  ubuntu server 22.04.3 LTS
  
  ### Versions of Apache Airflow Providers
  
  _No response_
  
  ### Deployment
  
  Virtualenv installation
  
  ### Deployment details
  
  _No response_
  
  ### Anything else
  
  _No response_
  
  ### Are you willing to submit PR?
  
  - [X] Yes I am willing to submit a PR!
  
  ### Code of Conduct
  
  - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
  
  
  </issue>
  <code>
  [start of airflow/cli/commands/triggerer_command.py]
  1 # Licensed to the Apache Software Foundation (ASF) under one
  2 # or more contributor license agreements.  See the NOTICE file
  3 # distributed with this work for additional information
  4 # regarding copyright ownership.  The ASF licenses this file
  5 # to you under the Apache License, Version 2.0 (the
  6 # "License"); you may not use this file except in compliance
  7 # with the License.  You may obtain a copy of the License at
  8 #
  9 #   http://www.apache.org/licenses/LICENSE-2.0
  10 #
  11 # Unless required by applicable law or agreed to in writing,
  12 # software distributed under the License is distributed on an
  13 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  14 # KIND, either express or implied.  See the License for the
  15 # specific language governing permissions and limitations
  16 # under the License.
  17 """Triggerer command."""
  18 from __future__ import annotations
  19 
  20 import signal
  21 from contextlib import contextmanager
  22 from functools import partial
  23 from multiprocessing import Process
  24 from typing import Generator
  25 
  26 import daemon
  27 from daemon.pidfile import TimeoutPIDLockFile
  28 
  29 from airflow import settings
  30 from airflow.configuration import conf
  31 from airflow.jobs.job import Job, run_job
  32 from airflow.jobs.triggerer_job_runner import TriggererJobRunner
  33 from airflow.utils import cli as cli_utils
  34 from airflow.utils.cli import setup_locations, setup_logging, sigint_handler, sigquit_handler
  35 from airflow.utils.providers_configuration_loader import providers_configuration_loaded
  36 from airflow.utils.serve_logs import serve_logs
  37 
  38 
  39 @contextmanager
  40 def _serve_logs(skip_serve_logs: bool = False) -> Generator[None, None, None]:
  41     """Start serve_logs sub-process."""
  42     sub_proc = None
  43     if skip_serve_logs is False:
  44         port = conf.getint("logging", "trigger_log_server_port", fallback=8794)
  45         sub_proc = Process(target=partial(serve_logs, port=port))
  46         sub_proc.start()
  47     try:
  48         yield
  49     finally:
  50         if sub_proc:
  51             sub_proc.terminate()
  52 
  53 
  54 @cli_utils.action_cli
  55 @providers_configuration_loaded
  56 def triggerer(args):
  57     """Start Airflow Triggerer."""
  58     settings.MASK_SECRETS_IN_LOGS = True
  59     print(settings.HEADER)
  60     triggerer_heartrate = conf.getfloat("triggerer", "JOB_HEARTBEAT_SEC")
  61     triggerer_job_runner = TriggererJobRunner(job=Job(heartrate=triggerer_heartrate), capacity=args.capacity)
  62 
  63     if args.daemon:
  64         pid, stdout, stderr, log_file = setup_locations(
  65             "triggerer", args.pid, args.stdout, args.stderr, args.log_file
  66         )
  67         handle = setup_logging(log_file)
  68         with open(stdout, "a") as stdout_handle, open(stderr, "a") as stderr_handle:
  69             stdout_handle.truncate(0)
  70             stderr_handle.truncate(0)
  71 
  72             daemon_context = daemon.DaemonContext(
  73                 pidfile=TimeoutPIDLockFile(pid, -1),
  74                 files_preserve=[handle],
  75                 stdout=stdout_handle,
  76                 stderr=stderr_handle,
  77                 umask=int(settings.DAEMON_UMASK, 8),
  78             )
  79             with daemon_context, _serve_logs(args.skip_serve_logs):
  80                 run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)
  81     else:
  82         signal.signal(signal.SIGINT, sigint_handler)
  83         signal.signal(signal.SIGTERM, sigint_handler)
  84         signal.signal(signal.SIGQUIT, sigquit_handler)
  85         with _serve_logs(args.skip_serve_logs):
  86             run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)
  87
  [end of airflow/cli/commands/triggerer_command.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: diff --git a/airflow/cli/commands/triggerer_command.py b/airflow/cli/commands/triggerer_command.py
  --- a/airflow/cli/commands/triggerer_command.py
  +++ b/airflow/cli/commands/triggerer_command.py
  @@ -58,7 +58,6 @@
       settings.MASK_SECRETS_IN_LOGS = True
       print(settings.HEADER)
       triggerer_heartrate = conf.getfloat("triggerer", "JOB_HEARTBEAT_SEC")
  -    triggerer_job_runner = TriggererJobRunner(job=Job(heartrate=triggerer_heartrate), capacity=args.capacity)
   
       if args.daemon:
           pid, stdout, stderr, log_file = setup_locations(
  @@ -77,10 +76,16 @@
                   umask=int(settings.DAEMON_UMASK, 8),
               )
               with daemon_context, _serve_logs(args.skip_serve_logs):
  +                triggerer_job_runner = TriggererJobRunner(
  +                    job=Job(heartrate=triggerer_heartrate), capacity=args.capacity
  +                )
                   run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)
       else:
           signal.signal(signal.SIGINT, sigint_handler)
           signal.signal(signal.SIGTERM, sigint_handler)
           signal.signal(signal.SIGQUIT, sigquit_handler)
           with _serve_logs(args.skip_serve_logs):
  +            triggerer_job_runner = TriggererJobRunner(
  +                job=Job(heartrate=triggerer_heartrate), capacity=args.capacity
  +            )
               run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)
  
verification_info: {"golden_diff": "diff --git a/airflow/cli/commands/triggerer_command.py b/airflow/cli/commands/triggerer_command.py\n--- a/airflow/cli/commands/triggerer_command.py\n+++ b/airflow/cli/commands/triggerer_command.py\n@@ -58,7 +58,6 @@\n     settings.MASK_SECRETS_IN_LOGS = True\n     print(settings.HEADER)\n     triggerer_heartrate = conf.getfloat(\"triggerer\", \"JOB_HEARTBEAT_SEC\")\n-    triggerer_job_runner = TriggererJobRunner(job=Job(heartrate=triggerer_heartrate), capacity=args.capacity)\n \n     if args.daemon:\n         pid, stdout, stderr, log_file = setup_locations(\n@@ -77,10 +76,16 @@\n                 umask=int(settings.DAEMON_UMASK, 8),\n             )\n             with daemon_context, _serve_logs(args.skip_serve_logs):\n+                triggerer_job_runner = TriggererJobRunner(\n+                    job=Job(heartrate=triggerer_heartrate), capacity=args.capacity\n+                )\n                 run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)\n     else:\n         signal.signal(signal.SIGINT, sigint_handler)\n         signal.signal(signal.SIGTERM, sigint_handler)\n         signal.signal(signal.SIGQUIT, sigquit_handler)\n         with _serve_logs(args.skip_serve_logs):\n+            triggerer_job_runner = TriggererJobRunner(\n+                job=Job(heartrate=triggerer_heartrate), capacity=args.capacity\n+            )\n             run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)\n", "issue": "Airflow 2.7.1 can not start Scheduler & trigger\n### Apache Airflow version\n\n2.7.1\n\n### What happened\n\nAfter upgrade from 2.6.0 to 2.7.1 (try pip uninstall apache-airflow, and clear dir airflow - remove airflow.cfg), I can start scheduler & trigger with daemon. \r\nI try start with command, it can start, but logout console it killed.\r\nI try: airflow scheduler or airflow triggerer :done but kill when logout console\r\nairflow scheduler --daemon && airflow triggerer --daemon: fail, can not start scheduler & triggerer (2.6.0 run ok). but start deamon with webserver & celery worker is fine\r\n\r\nHelp me\n\n### What you think should happen instead\n\n_No response_\n\n### How to reproduce\n\n1. run airflow 2.6.0 fine on ubuntu server 22.04.3 lts\r\n2. install airflow 2.7.1 \r\n3. can not start daemon triggerer & scheduler\n\n### Operating System\n\nubuntu server 22.04.3 LTS\n\n### Versions of Apache Airflow Providers\n\n_No response_\n\n### Deployment\n\nVirtualenv installation\n\n### Deployment details\n\n_No response_\n\n### Anything else\n\n_No response_\n\n### Are you willing to submit PR?\n\n- [X] Yes I am willing to submit a PR!\n\n### Code of Conduct\n\n- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)\n\n", "before_files": [{"content": "# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n\"\"\"Triggerer command.\"\"\"\nfrom __future__ import annotations\n\nimport signal\nfrom contextlib import contextmanager\nfrom functools import partial\nfrom multiprocessing import Process\nfrom typing import Generator\n\nimport daemon\nfrom daemon.pidfile import TimeoutPIDLockFile\n\nfrom airflow import settings\nfrom airflow.configuration import conf\nfrom airflow.jobs.job import Job, run_job\nfrom airflow.jobs.triggerer_job_runner import TriggererJobRunner\nfrom airflow.utils import cli as cli_utils\nfrom airflow.utils.cli import setup_locations, setup_logging, sigint_handler, sigquit_handler\nfrom airflow.utils.providers_configuration_loader import providers_configuration_loaded\nfrom airflow.utils.serve_logs import serve_logs\n\n\n@contextmanager\ndef _serve_logs(skip_serve_logs: bool = False) -> Generator[None, None, None]:\n    \"\"\"Start serve_logs sub-process.\"\"\"\n    sub_proc = None\n    if skip_serve_logs is False:\n        port = conf.getint(\"logging\", \"trigger_log_server_port\", fallback=8794)\n        sub_proc = Process(target=partial(serve_logs, port=port))\n        sub_proc.start()\n    try:\n        yield\n    finally:\n        if sub_proc:\n            sub_proc.terminate()\n\n\n@cli_utils.action_cli\n@providers_configuration_loaded\ndef triggerer(args):\n    \"\"\"Start Airflow Triggerer.\"\"\"\n    settings.MASK_SECRETS_IN_LOGS = True\n    print(settings.HEADER)\n    triggerer_heartrate = conf.getfloat(\"triggerer\", \"JOB_HEARTBEAT_SEC\")\n    triggerer_job_runner = TriggererJobRunner(job=Job(heartrate=triggerer_heartrate), capacity=args.capacity)\n\n    if args.daemon:\n        pid, stdout, stderr, log_file = setup_locations(\n            \"triggerer\", args.pid, args.stdout, args.stderr, args.log_file\n        )\n        handle = setup_logging(log_file)\n        with open(stdout, \"a\") as stdout_handle, open(stderr, \"a\") as stderr_handle:\n            stdout_handle.truncate(0)\n            stderr_handle.truncate(0)\n\n            daemon_context = daemon.DaemonContext(\n                pidfile=TimeoutPIDLockFile(pid, -1),\n                files_preserve=[handle],\n                stdout=stdout_handle,\n                stderr=stderr_handle,\n                umask=int(settings.DAEMON_UMASK, 8),\n            )\n            with daemon_context, _serve_logs(args.skip_serve_logs):\n                run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)\n    else:\n        signal.signal(signal.SIGINT, sigint_handler)\n        signal.signal(signal.SIGTERM, sigint_handler)\n        signal.signal(signal.SIGQUIT, sigquit_handler)\n        with _serve_logs(args.skip_serve_logs):\n            run_job(job=triggerer_job_runner.job, execute_callable=triggerer_job_runner._execute)\n", "path": "airflow/cli/commands/triggerer_command.py"}]}