tractor/tractor/_spawn.py

382 lines
14 KiB
Python

"""
Machinery for actor process spawning using multiple backends.
"""
import sys
import inspect
import multiprocessing as mp
import platform
from typing import Any, Dict, Optional
import trio
from trio_typing import TaskStatus
from async_generator import aclosing, asynccontextmanager
try:
from multiprocessing import semaphore_tracker # type: ignore
resource_tracker = semaphore_tracker
resource_tracker._resource_tracker = resource_tracker._semaphore_tracker
except ImportError:
# 3.8 introduces a more general version that also tracks shared mems
from multiprocessing import resource_tracker # type: ignore
from multiprocessing import forkserver # type: ignore
from typing import Tuple
from . import _forkserver_override
from ._state import current_actor, is_main_process
from .log import get_logger
from ._portal import Portal
from ._actor import Actor, ActorFailure
from ._entry import _mp_main
log = get_logger('tractor')
# placeholder for an mp start context if so using that backend
_ctx: Optional[mp.context.BaseContext] = None
_spawn_method: str = "spawn"
if platform.system() == 'Windows':
_spawn_method = "spawn"
_ctx = mp.get_context("spawn")
async def proc_waiter(proc: mp.Process) -> None:
await trio.lowlevel.WaitForSingleObject(proc.sentinel)
else:
# *NIX systems use ``trio`` primitives as our default
_spawn_method = "trio"
async def proc_waiter(proc: mp.Process) -> None:
await trio.lowlevel.wait_readable(proc.sentinel)
def try_set_start_method(name: str) -> Optional[mp.context.BaseContext]:
"""Attempt to set the method for process starting, aka the "actor
spawning backend".
If the desired method is not supported this function will error.
On Windows only the ``multiprocessing`` "spawn" method is offered
besides the default ``trio`` which uses async wrapping around
``subprocess.Popen``.
"""
global _ctx
global _spawn_method
methods = mp.get_all_start_methods()
if 'fork' in methods:
# forking is incompatible with ``trio``s global task tree
methods.remove('fork')
# supported on all platforms
methods += ['trio']
if name not in methods:
raise ValueError(
f"Spawn method `{name}` is invalid please choose one of {methods}"
)
elif name == 'forkserver':
_forkserver_override.override_stdlib()
_ctx = mp.get_context(name)
elif name == 'trio':
_ctx = None
else:
_ctx = mp.get_context(name)
_spawn_method = name
return _ctx
async def exhaust_portal(
portal: Portal,
actor: Actor
) -> Any:
"""Pull final result from portal (assuming it has one).
If the main task is an async generator do our best to consume
what's left of it.
"""
try:
log.debug(f"Waiting on final result from {actor.uid}")
final = res = await portal.result()
# if it's an async-gen then alert that we're cancelling it
if inspect.isasyncgen(res):
final = []
log.warning(
f"Blindly consuming asyncgen for {actor.uid}")
with trio.fail_after(1):
async with aclosing(res) as agen:
async for item in agen:
log.debug(f"Consuming item {item}")
final.append(item)
except (Exception, trio.MultiError) as err:
# we reraise in the parent task via a ``trio.MultiError``
return err
except trio.Cancelled as err:
# lol, of course we need this too ;P
# TODO: merge with above?
log.warning(f"Cancelled result waiter for {portal.actor.uid}")
return err
else:
log.debug(f"Returning final result: {final}")
return final
async def cancel_on_completion(
portal: Portal,
actor: Actor,
errors: Dict[Tuple[str, str], Exception],
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
"""Cancel actor gracefully once it's "main" portal's
result arrives.
Should only be called for actors spawned with `run_in_actor()`.
"""
with trio.CancelScope() as cs:
task_status.started(cs)
# if this call errors we store the exception for later
# in ``errors`` which will be reraised inside
# a MultiError and we still send out a cancel request
result = await exhaust_portal(portal, actor)
if isinstance(result, Exception):
errors[actor.uid] = result
log.warning(
f"Cancelling {portal.channel.uid} after error {result}"
)
else:
log.info(
f"Cancelling {portal.channel.uid} gracefully "
f"after result {result}")
# cancel the process now that we have a final result
await portal.cancel_actor()
@asynccontextmanager
async def spawn_subactor(
subactor: 'Actor',
parent_addr: Tuple[str, int],
):
spawn_cmd = [
sys.executable,
"-m",
# Hardcode this (instead of using ``_child.__name__`` to avoid a
# double import warning: https://stackoverflow.com/a/45070583
"tractor._child",
# We provide the child's unique identifier on this exec/spawn
# line for debugging purposes when viewing the process tree from
# the OS; it otherwise can be passed via the parent channel if
# we prefer in the future (for privacy).
"--uid",
str(subactor.uid),
# Address the child must connect to on startup
"--parent_addr",
str(parent_addr)
]
if subactor.loglevel:
spawn_cmd += [
"--loglevel",
subactor.loglevel
]
proc = await trio.open_process(spawn_cmd)
try:
yield proc
finally:
# XXX: do this **after** cancellation/tearfown
# to avoid killing the process too early
# since trio does this internally on ``__aexit__()``
# NOTE: we always "shield" join sub procs in
# the outer scope since no actor zombies are
# ever allowed. This ``__aexit__()`` also shields
# internally.
log.debug(f"Attempting to kill {proc}")
# NOTE: this timeout effectively does nothing right now since
# we are shielding the ``.wait()`` inside ``new_proc()`` which
# will pretty much never release until the process exits.
with trio.move_on_after(3) as cs:
async with proc:
log.debug(f"Terminating {proc}")
if cs.cancelled_caught:
log.critical(f"HARD KILLING {proc}")
proc.kill()
async def new_proc(
name: str,
actor_nursery: 'ActorNursery', # type: ignore
subactor: Actor,
errors: Dict[Tuple[str, str], Exception],
# passed through to actor main
bind_addr: Tuple[str, int],
parent_addr: Tuple[str, int],
_runtime_vars: Dict[str, Any], # serialized and sent to _child
*,
use_trio_run_in_process: bool = False,
task_status: TaskStatus[Portal] = trio.TASK_STATUS_IGNORED
) -> None:
"""Create a new ``multiprocessing.Process`` using the
spawn method as configured using ``try_set_start_method()``.
"""
cancel_scope = None
# mark the new actor with the global spawn method
subactor._spawn_method = _spawn_method
async with trio.open_nursery() as nursery:
if use_trio_run_in_process or _spawn_method == 'trio':
async with spawn_subactor(
subactor,
parent_addr,
) as proc:
log.info(f"Started {proc}")
# wait for actor to spawn and connect back to us
# channel should have handshake completed by the
# local actor by the time we get a ref to it
event, chan = await actor_nursery._actor.wait_for_peer(
subactor.uid)
portal = Portal(chan)
actor_nursery._children[subactor.uid] = (
subactor, proc, portal)
# send additional init params
await chan.send({
"_parent_main_data": subactor._parent_main_data,
"rpc_module_paths": subactor.rpc_module_paths,
"statespace": subactor.statespace,
"_arb_addr": subactor._arb_addr,
"bind_host": bind_addr[0],
"bind_port": bind_addr[1],
"_runtime_vars": _runtime_vars,
})
# track subactor in current nursery
curr_actor = current_actor()
curr_actor._actoruid2nursery[subactor.uid] = actor_nursery
# resume caller at next checkpoint now that child is up
task_status.started(portal)
# wait for ActorNursery.wait() to be called
with trio.CancelScope(shield=True):
await actor_nursery._join_procs.wait()
if portal in actor_nursery._cancel_after_result_on_exit:
cancel_scope = await nursery.start(
cancel_on_completion, portal, subactor, errors)
# Wait for proc termination but **dont' yet** call
# ``trio.Process.__aexit__()`` (it tears down stdio
# which will kill any waiting remote pdb trace).
# always "hard" join sub procs:
# no actor zombies allowed
with trio.CancelScope(shield=True):
await proc.wait()
else:
# `multiprocessing`
assert _ctx
start_method = _ctx.get_start_method()
if start_method == 'forkserver':
# XXX do our hackery on the stdlib to avoid multiple
# forkservers (one at each subproc layer).
fs = forkserver._forkserver
curr_actor = current_actor()
if is_main_process() and not curr_actor._forkserver_info:
# if we're the "main" process start the forkserver
# only once and pass its ipc info to downstream
# children
# forkserver.set_forkserver_preload(rpc_module_paths)
forkserver.ensure_running()
fs_info = (
fs._forkserver_address,
fs._forkserver_alive_fd,
getattr(fs, '_forkserver_pid', None),
getattr(
resource_tracker._resource_tracker, '_pid', None),
resource_tracker._resource_tracker._fd,
)
else:
assert curr_actor._forkserver_info
fs_info = (
fs._forkserver_address,
fs._forkserver_alive_fd,
fs._forkserver_pid,
resource_tracker._resource_tracker._pid,
resource_tracker._resource_tracker._fd,
) = curr_actor._forkserver_info
else:
fs_info = (None, None, None, None, None)
proc = _ctx.Process( # type: ignore
target=_mp_main,
args=(
subactor,
bind_addr,
fs_info,
start_method,
parent_addr,
),
# daemon=True,
name=name,
)
# `multiprocessing` only (since no async interface):
# register the process before start in case we get a cancel
# request before the actor has fully spawned - then we can wait
# for it to fully come up before sending a cancel request
actor_nursery._children[subactor.uid] = (subactor, proc, None)
proc.start()
if not proc.is_alive():
raise ActorFailure("Couldn't start sub-actor?")
log.info(f"Started {proc}")
# wait for actor to spawn and connect back to us
# channel should have handshake completed by the
# local actor by the time we get a ref to it
event, chan = await actor_nursery._actor.wait_for_peer(
subactor.uid)
portal = Portal(chan)
actor_nursery._children[subactor.uid] = (subactor, proc, portal)
# unblock parent task
task_status.started(portal)
# wait for ``ActorNursery`` block to signal that
# subprocesses can be waited upon.
# This is required to ensure synchronization
# with user code that may want to manually await results
# from nursery spawned sub-actors. We don't want the
# containing nurseries here to collect results or error
# while user code is still doing it's thing. Only after the
# nursery block closes do we allow subactor results to be
# awaited and reported upwards to the supervisor.
await actor_nursery._join_procs.wait()
if portal in actor_nursery._cancel_after_result_on_exit:
cancel_scope = await nursery.start(
cancel_on_completion, portal, subactor, errors)
# TODO: timeout block here?
if proc.is_alive():
await proc_waiter(proc)
proc.join()
# This is again common logic for all backends:
log.debug(f"Joined {proc}")
# pop child entry to indicate we are no longer managing this subactor
subactor, proc, portal = actor_nursery._children.pop(subactor.uid)
# cancel result waiter that may have been spawned in
# tandem if not done already
if cancel_scope:
log.warning(
f"Cancelling existing result waiter task for {subactor.uid}")
cancel_scope.cancel()