Avoiding Random Ansible Runner Hangs in Async Multi-threaded Python

Sun, 07 Jun 2026 00:00:00 +0000

I recently hit a very annoying failure mode while running Ansible Runner from a Python program that uses both asyncio and worker threads. Most runs were fine. Then, once in a while, a runner call just stopped making progress. No obvious exception. No clear reproduction. Just one of those “why is this process still here?” moments.

The clue was an old ptyprocess issue: . The maintainer note there describes the likely symptom as random-looking deadlocks and hangs, which matched the behaviour almost too well.

Table of Contents

The shape of the problem

Ansible Runner uses pexpect around the child process it starts. That is convenient because pexpect can watch output, answer prompts, and keep the runner loop simple.

The uncomfortable part is the default PTY-backed spawn path. Under the hood, it relies on a fork()-to-exec() sequence with Python-level work in the middle. In a single-threaded program, this is usually boring enough. In a multithreaded program, it becomes much less boring.

After fork(), only the calling thread exists in the child process. Locks that were held by other threads may still look held, but the threads that could release them no longer exist. If the child then runs code that touches one of those locks before exec(), it can freeze in a place that looks unrelated to your application logic.

That is why this class of bug feels random. The failure depends on timing: which thread held what, exactly when the runner spawned a child, and what the child touched before exec().

Why `asyncio` made it easier to notice

asyncio itself was not the bug. The event loop was just the place where the symptom became visible.

In my case, runner work was launched from async workflows and delegated into threads so that blocking Ansible execution would not stop the event loop. That means the process had at least three moving parts:

an event loop scheduling higher-level tasks;
worker threads calling into Ansible Runner;
pexpect spawning and supervising child processes.

This is exactly the kind of runtime where a “mostly fine” fork-safety issue can turn into a production-grade headache.

The workaround I chose

The practical workaround was not to make the PTY path safer. I replaced it at the integration boundary.

pexpect also has , which uses subprocess.Popen instead of a PTY-backed spawn. For my use case, I did not need a real terminal. I needed a child process, stdout/stderr handling, pattern matching, timeouts, and predictable termination. A subprocess-backed spawn was a better fit.

The patch had three parts:

Create a small spawn adapter on top of PopenSpawn.
Preserve the methods that Ansible Runner expects, especially process liveness and termination behaviour.
Monkey patch the runner’s pexpect.spawn reference early enough that runner instances use the adapter.

The adapter is not just a constructor wrapper. It also carries the close, timeout, liveness, and runner-termination semantics needed by the runner loop. Stripped of project-specific logging, the relevant code is:

import os
import signal
import time
from collections.abc import Awaitable
from typing import Any

from ansible_runner import Runner
from pexpect.exceptions import ExceptionPexpect, TIMEOUT
from pexpect.popen_spawn import PopenSpawn


class RunnerSpawn(PopenSpawn):
 """An Ansible runner spawn."""

 def __init__(self, cmd: str, args: list[str] | None = None, **kwargs: Any) -> None:
 """Initialise an Ansible runner spawn.

 Parameters
 ----------
 cmd : str
 A command.
 args : list[str] | None, default: `None`
 Command arguments (default: `None`). Do not provide these if they have already been included in ``cmd``.
 **kwargs : dict[str, typing.Any], optional
 Keyword arguments.
 """
 cmd: list[str] = [cmd]
 if args:
 cmd.extend(args)

 try:
 super().__init__(
 cmd=cmd,
 **{
 key: value
 for key, value in kwargs.items()
 if key
 in (
 "codec_errors",
 "cwd",
 "encoding",
 "env",
 "logfile",
 "maxread",
 "preexec_fn",
 "searchwindowsize",
 "timeout",
 )
 },
 )
 except Exception as exception:
 raise ExceptionPexpect(f"Failed to initialise an Ansible runner spawn with the cmd: {cmd}") from exception

 def close(self, force=True) -> None:
 """Close an Ansible runner spawn.

 Parameters
 ----------
 force : bool, default: `True`
 A flag denoting whether to force closing an Ansible runner spawn after failed graceful termination (`True`,
 default) or not (`False`).

 Notes
 -----
 `ptyprocess.PtyProcess.terminate()` is a reference.
 """
 if not self.isalive():
 self.closed = True
 return

 try:
 self.kill(sig=signal.SIGHUP)
 time.sleep(0.1)
 if not self.isalive():
 return

 self.kill(sig=signal.SIGCONT)
 time.sleep(0.1)
 if not self.isalive():
 return

 self.kill(sig=signal.SIGINT)
 if not force:
 return

 time.sleep(0.1)
 if not self.isalive():
 return

 self.kill(sig=signal.SIGKILL)
 except OSError:
 pass
 finally:
 self.closed = True

 def expect(self, *args, **kwargs) -> Awaitable[int] | int | None:
 try:
 return super().expect(*args, **kwargs)
 except TIMEOUT:
 # `ansible_runner.runner.Runner.run()` contains a fix to expect an EOF in at most 5 seconds. After monkey
 # patching `ansible_runner.runner.pexpect.spawn`, a timeout exception causes unexpected resource leaks.
 # Reference: https://github.com/ansible/ansible-runner/issues/1330
 return None

 def isalive(self) -> bool:
 """Check if an Ansible runner spawn's process is alive.

 Returns
 -------
 bool
 A flag denoting whether an Ansible runner spawn's process is alive (`True`) or not (`False`).
 """
 if not (alive := self.proc.poll() is None):
 self.exitstatus = self.proc.returncode

 return alive


def handle_runner_termination(cls: type[Runner], pid: int, pidfile: str | None = None) -> None:
 """Handle Ansible runner termination.

 Parameters
 ----------
 cls : type[ansible_runner.runner.Runner]
 An Ansible runner class.
 pid : int
 An Ansible runner spawn's process ID.
 pidfile : str | None, default: `None`
 A daemon's PID file path (default: `None`).
 """
 _ = cls # Suppress a warning regarding an unused var.
 try:
 os.kill(pid, signal.SIGKILL)
 except OSError:
 pass

 try:
 if pidfile:
 os.remove(pidfile)
 except OSError:
 pass

Then I patch the runner entry points before creating runner objects:

ansible_runner.Runner.handle_termination = classmethod(handle_runner_termination)
ansible_runner.runner.pexpect.spawn = RunnerSpawn

The timeout handling is part of the adapter on purpose. Ansible Runner has had fixes around draining final output until EOF so that events are not lost near process shutdown; see for the general shape of that race. After replacing the spawn backend, letting a TIMEOUT escape from expect() could short-circuit cleanup and leak resources, so the adapter returns None.

That is the main lesson here: the monkey patch is small, but the compatibility surface is not only spawn(cmd). It includes liveness, exit status, timeout behaviour, and termination. The replacement should look boringly compatible to the runner loop.

Things I would check before copying this pattern

This workaround is not a universal “replace pexpect with subprocess” rule.

It is a good fit when:

your runner commands do not genuinely require PTY behaviour;
you are embedding runner calls inside a multithreaded Python process;
your hangs line up with child-process spawning rather than Ansible task logic;
you can patch the spawn path before any runner objects are created.

It is a poor fit when:

the child process needs terminal-specific behaviour;
your automation depends on exact PTY semantics;
you cannot control import order;
you have not tested cancellation, timeout, and signal handling.

Takeaway

When a Python program mixes asyncio, threads, and child-process orchestration, fork() details stop being trivia. A hang may not come from the async task you are staring at. It may come from a child process being born in a runtime where another thread held the wrong lock at the wrong time.

For my case, moving Ansible Runner away from the PTY-backed pexpect spawn path made the runner lifecycle much more predictable. The patch is intentionally unglamorous: keep Runner’s expectations intact, use a subprocess-backed spawn where a PTY is unnecessary, and make termination boring.

That is often the best kind of production fix. Not clever. Just less surprising.