tractor/tractor/_spawn.py

275 lines
9.6 KiB
Python

"""
Process spawning.
Mostly just wrapping around ``multiprocessing``.
"""
import inspect
import multiprocessing as mp
import platform
from typing import Any, List, Dict
import trio
import trio_run_in_process
from trio_typing import TaskStatus
from async_generator import aclosing
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
from .log import get_logger
from ._portal import Portal
from ._actor import Actor, ActorFailure
log = get_logger('tractor')
_ctx: mp.context.BaseContext = mp.get_context("spawn") # type: ignore
if platform.system() == 'Windows':
async def proc_waiter(proc: mp.Process) -> None:
await trio.hazmat.WaitForSingleObject(proc.sentinel)
else:
async def proc_waiter(proc: mp.Process) -> None:
await trio.hazmat.wait_readable(proc.sentinel)
def try_set_start_method(name: str) -> mp.context.BaseContext:
"""Attempt to set the start method for ``multiprocess.Process`` spawning.
If the desired method is not supported the sub-interpreter (aka "spawn"
method) is used.
"""
global _ctx
allowed = mp.get_all_start_methods()
if name not in allowed:
name = 'spawn'
elif name == 'fork':
raise ValueError(
"`fork` is unsupported due to incompatibility with `trio`"
)
elif name == 'forkserver':
_forkserver_override.override_stdlib()
assert name in allowed
_ctx = mp.get_context(name)
return _ctx
def is_main_process() -> bool:
"""Bool determining if this actor is running in the top-most process.
"""
return mp.current_process().name == 'MainProcess'
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
else:
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 "
"after result {result}")
# cancel the process now that we have a final result
await portal.cancel_actor()
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],
begin_wait_phase: trio.Event,
use_trip: bool = True,
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
async with trio.open_nursery() as nursery:
if use_trip:
# trio_run_in_process
async with trio_run_in_process.open_in_process(
subactor._trip_main,
bind_addr,
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)
task_status.started(portal)
# wait for ActorNursery.wait() to be called
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)
# TRIP blocks here until process is complete
else:
# `multiprocessing`
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=subactor._mp_main,
args=(
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.wait() to be called
# this is required to ensure synchronization
# with startup and registration of this actor in
# ActorNursery.run_in_actor()
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()
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()