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tractor/tractor/_trionics.py

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Python

"""
``trio`` inspired apis and helpers
"""
import multiprocessing as mp
from typing import Tuple, List, Dict, Optional, Any
import typing
import trio
from async_generator import asynccontextmanager
from ._state import current_actor
from .log import get_logger, get_loglevel
from ._actor import Actor # , ActorFailure
from ._portal import Portal
from . import _spawn
log = get_logger('tractor')
class ActorNursery:
"""Spawn scoped subprocess actors.
"""
def __init__(
self,
actor: Actor,
ria_nursery: trio.Nursery,
da_nursery: trio.Nursery,
errors: Dict[Tuple[str, str], Exception],
) -> None:
# self.supervisor = supervisor # TODO
self._actor: Actor = actor
self._ria_nursery = ria_nursery
self._da_nursery = da_nursery
self._children: Dict[
Tuple[str, str],
Tuple[Actor, mp.Process, Optional[Portal]]
] = {}
# portals spawned with ``run_in_actor()`` are
# cancelled when their "main" result arrives
self._cancel_after_result_on_exit: set = set()
self.cancelled: bool = False
self._join_procs = trio.Event()
self.errors = errors
async def start_actor(
self,
name: str,
bind_addr: Tuple[str, int] = ('127.0.0.1', 0),
statespace: Optional[Dict[str, Any]] = None,
rpc_module_paths: List[str] = None,
loglevel: str = None, # set log level per subactor
nursery: trio.Nursery = None,
) -> Portal:
loglevel = loglevel or self._actor.loglevel or get_loglevel()
subactor = Actor(
name,
# modules allowed to invoked funcs from
rpc_module_paths=rpc_module_paths or [],
statespace=statespace, # global proc state vars
loglevel=loglevel,
arbiter_addr=current_actor()._arb_addr,
)
parent_addr = self._actor.accept_addr
assert parent_addr
# start a task to spawn a process
# blocks until process has been started and a portal setup
nursery = nursery or self._da_nursery
# XXX: the type ignore is actually due to a `mypy` bug
return await nursery.start( # type: ignore
_spawn.new_proc,
name,
self,
subactor,
self.errors,
bind_addr,
parent_addr,
)
async def run_in_actor(
self,
name: str,
fn: typing.Callable,
bind_addr: Tuple[str, int] = ('127.0.0.1', 0),
rpc_module_paths: Optional[List[str]] = None,
statespace: Dict[str, Any] = None,
loglevel: str = None, # set log level per subactor
**kwargs, # explicit args to ``fn``
) -> Portal:
"""Spawn a new actor, run a lone task, then terminate the actor and
return its result.
Actors spawned using this method are kept alive at nursery teardown
until the task spawned by executing ``fn`` completes at which point
the actor is terminated.
"""
mod_path = fn.__module__
portal = await self.start_actor(
name,
rpc_module_paths=[mod_path] + (rpc_module_paths or []),
bind_addr=bind_addr,
statespace=statespace,
loglevel=loglevel,
# use the run_in_actor nursery
nursery=self._ria_nursery,
)
# this marks the actor to be cancelled after its portal result
# is retreived, see logic in `open_nursery()` below.
self._cancel_after_result_on_exit.add(portal)
await portal._submit_for_result(
mod_path,
fn.__name__,
**kwargs
)
return portal
async def cancel(self, hard_kill: bool = False) -> None:
"""Cancel this nursery by instructing each subactor to cancel
itself and wait for all subactors to terminate.
If ``hard_killl`` is set to ``True`` then kill the processes
directly without any far end graceful ``trio`` cancellation.
"""
def do_hard_kill(proc):
log.warning(f"Hard killing subactors {self._children}")
proc.terminate()
# XXX: below doesn't seem to work?
# send KeyBoardInterrupt (trio abort signal) to sub-actors
# os.kill(proc.pid, signal.SIGINT)
log.debug(f"Cancelling nursery")
with trio.move_on_after(3) as cs:
async with trio.open_nursery() as nursery:
for subactor, proc, portal in self._children.values():
if hard_kill:
do_hard_kill(proc)
else:
if portal is None: # actor hasn't fully spawned yet
event = self._actor._peer_connected[subactor.uid]
log.warning(
f"{subactor.uid} wasn't finished spawning?")
await event.wait()
# channel/portal should now be up
_, _, portal = self._children[subactor.uid]
# XXX should be impossible to get here
# unless method was called from within
# shielded cancel scope.
if portal is None:
# cancelled while waiting on the event
# to arrive
chan = self._actor._peers[subactor.uid][-1]
if chan:
portal = Portal(chan)
else: # there's no other choice left
do_hard_kill(proc)
# spawn cancel tasks for each sub-actor
assert portal
nursery.start_soon(portal.cancel_actor)
# if we cancelled the cancel (we hung cancelling remote actors)
# then hard kill all sub-processes
if cs.cancelled_caught:
log.error(f"Failed to gracefully cancel {self}, hard killing!")
async with trio.open_nursery():
for subactor, proc, portal in self._children.values():
nursery.start_soon(do_hard_kill, proc)
# mark ourselves as having (tried to have) cancelled all subactors
self.cancelled = True
self._join_procs.set()
@asynccontextmanager
async def open_nursery() -> typing.AsyncGenerator[ActorNursery, None]:
"""Create and yield a new ``ActorNursery`` to be used for spawning
structured concurrent subactors.
When an actor is spawned a new trio task is started which
invokes one of the process spawning backends to create and start
a new subprocess. These tasks are started by one of two nurseries
detailed below. The reason for spawning processes from within
a new task is because ``trio_run_in_process`` itself creates a new
internal nursery and the same task that opens a nursery **must**
close it. It turns out this approach is probably more correct
anyway since it is more clear from the following nested nurseries
which cancellation scopes correspond to each spawned subactor set.
"""
actor = current_actor()
if not actor:
raise RuntimeError("No actor instance has been defined yet?")
# the collection of errors retreived from spawned sub-actors
errors: Dict[Tuple[str, str], Exception] = {}
# This is the outermost level "deamon actor" nursery. It is awaited
# **after** the below inner "run in actor nursery". This allows for
# handling errors that are generated by the inner nursery in
# a supervisor strategy **before** blocking indefinitely to wait for
# actors spawned in "daemon mode" (aka started using
# ``ActorNursery.start_actor()``).
async with trio.open_nursery() as da_nursery:
try:
# This is the inner level "run in actor" nursery. It is
# awaited first since actors spawned in this way (using
# ``ActorNusery.run_in_actor()``) are expected to only
# return a single result and then complete (i.e. be canclled
# gracefully). Errors collected from these actors are
# immediately raised for handling by a supervisor strategy.
# As such if the strategy propagates any error(s) upwards
# the above "daemon actor" nursery will be notified.
async with trio.open_nursery() as ria_nursery:
anursery = ActorNursery(
actor, ria_nursery, da_nursery, errors
)
try:
# spawning of actors happens in the caller's scope
# after we yield upwards
yield anursery
log.debug(
f"Waiting on subactors {anursery._children}"
"to complete"
)
except (BaseException, Exception) as err:
# if the caller's scope errored then we activate our
# one-cancels-all supervisor strategy (don't
# worry more are coming).
anursery._join_procs.set()
try:
# XXX: hypothetically an error could be raised and then
# a cancel signal shows up slightly after in which case
# the `else:` block here might not complete?
# For now, shield both.
with trio.CancelScope(shield=True):
if err in (trio.Cancelled, KeyboardInterrupt):
log.warning(
f"Nursery for {current_actor().uid} was "
f"cancelled with {err}")
else:
log.exception(
f"Nursery for {current_actor().uid} "
f"errored with {err}, ")
# cancel all subactors
await anursery.cancel()
except trio.MultiError as merr:
# If we receive additional errors while waiting on
# remaining subactors that were cancelled,
# aggregate those errors with the original error
# that triggered this teardown.
if err not in merr.exceptions:
raise trio.MultiError(merr.exceptions + [err])
else:
raise
# Last bit before first nursery block ends in the case
# where we didn't error in the caller's scope
log.debug(f"Waiting on all subactors to complete")
anursery._join_procs.set()
# ria_nursery scope end
except (Exception, trio.MultiError) as err:
# If actor-local error was raised while waiting on
# ".run_in_actor()" actors then we also want to cancel all
# remaining sub-actors (due to our lone strategy:
# one-cancels-all).
log.warning(f"Nursery cancelling due to {err}")
if anursery._children:
with trio.CancelScope(shield=True):
await anursery.cancel()
raise
finally:
# No errors were raised while awaiting ".run_in_actor()"
# actors but those actors may have returned remote errors as
# results (meaning they errored remotely and have relayed
# those errors back to this parent actor). The errors are
# collected in ``errors`` so cancel all actors, summarize
# all errors and re-raise.
if errors:
if anursery._children:
with trio.CancelScope(shield=True):
await anursery.cancel()
if len(errors) > 1:
raise trio.MultiError(tuple(errors.values()))
else:
raise list(errors.values())[0]
# ria_nursery scope end
log.debug(f"Nursery teardown complete")