Remove `run_in_actor()` + the ria reap cluster

The final excision of #477: with zero in-repo callers left (all
tests/examples/docs migrated to `to_actor.run()` et al) the
entire legacy one-shot machinery drops out,

- `runtime/_supervise.py`: `ActorNursery.run_in_actor()`, the
  `._cancel_after_result_on_exit` portal-set and the
  `_reap_ria_portals()` teardown-reaper (both its happy-path
  block-exit call AND the error-path snapshot + 0.5s-bounded
  collection) are deleted — one-shot result-waiting now lives
  entirely in the caller's task via `to_actor.run()`, whose
  enclosing cancel-scope bounds the wait by construction (the
  correct-scoping fix for the unbounded-reap hang class; the
  `d1fb4a1a` guard test now passes structurally).
- `runtime/_portal.py`: `Portal._submit_for_result()`,
  `._expect_result_ctx`, `._final_result_msg/_pld`,
  `.wait_for_result()` + the deprecated `.result()` alias are
  gone — a `Portal` no longer has any "main result" notion.
  NB `Context.wait_for_result()` is a different (very alive)
  API and is untouched.
- `spawn/_spawn.py`: `exhaust_portal()` +
  `cancel_on_completion()` (the reaper tasks) deleted; backend
  comment sweeps in `_trio.py`/`_mp.py`.
- `_exceptions.py`: the `NoResult` sentinel dies with its lone
  reader.
- `tests/test_ringbuf.py`: drop a daemon-portal `.result()`
  call that was already a warn + `NoResult` no-op (the ctx-acm
  exit does the real result-wait); unshadow the 2nd `sctx` as
  `rctx`.
- comment/docstring x-ref sweeps: `msg/types.py`,
  `_context.py`, `to_actor/`, `tests/test_to_actor.py`.

Gate: `test_to_actor test_spawning test_cancellation
test_infected_asyncio test_local test_rpc` = 81 passed,
3 xfailed on `trio`; +`test_ringbuf` = 70 passed, 3 skipped,
3 xfailed on `mp_spawn`.

(this patch was generated in some part by [`claude-code`][claude-code-gh])
[claude-code-gh]: https://github.com/anthropics/claude-code
drop_ria_nursery
Gud Boi 2026-07-06 12:52:29 -04:00
parent 07e1669e6d
commit 2a59cefbe8
12 changed files with 28 additions and 402 deletions

View File

@ -131,9 +131,12 @@ def test_ringbuf(
child_read_shm,
**common_kwargs,
total_bytes=total_bytes,
) as (sctx, _sent),
) as (rctx, _sent),
):
await recv_p.result()
# ctx-acm exits await each child task's
# `Return` (the prior `recv_p.result()` here
# was a daemon-portal no-op).
pass
await send_p.cancel_actor()
await recv_p.cancel_actor()

View File

@ -1,8 +1,8 @@
'''
`tractor.to_actor`: one-shot single-remote-task API suite.
Verifies the "spiritual successor" to (and eventual
replacement of) `ActorNursery.run_in_actor()`; see
Verifies the "spiritual successor" to (and replacement of)
the removed legacy `ActorNursery.run_in_actor()`; see
https://github.com/goodboy/tractor/issues/477
'''
@ -82,7 +82,7 @@ async def test_remote_error_relayed_to_caller_task(
A remote task error is raised directly in the
caller's task as a boxed `RemoteActorError` instead
of surfacing at actor-nursery teardown as with the
legacy `.run_in_actor()` API.
removed legacy `.run_in_actor()` API.
'''
with pytest.raises(RemoteActorError) as excinfo:

View File

@ -780,7 +780,7 @@ class Context:
# `Portal.open_context()` has been opened since it's
# assumed that other portal APIs like,
# - `Portal.run()`,
# - `ActorNursery.run_in_actor()`
# - `to_actor.run()`
# do their own error checking at their own call points and
# result processing.

View File

@ -1161,10 +1161,6 @@ class TransportClosed(Exception):
)
class NoResult(RuntimeError):
"No final result is expected for this actor"
class ModuleNotExposed(ModuleNotFoundError):
"The requested module is not exposed for RPC"

View File

@ -304,12 +304,11 @@ class Start(
It is called by all the following public APIs:
- `ActorNursery.run_in_actor()`
- `to_actor.run()`
- `Portal.run()`
`|_.run_from_ns()`
`|_.open_stream_from()`
`|_._submit_for_result()`
- `Context.open_context()`

View File

@ -50,13 +50,11 @@ from ..ipc import Channel
from ..log import get_logger
from ..msg import (
# Error,
PayloadMsg,
NamespacePath,
Return,
)
from .._exceptions import (
ActorTooSlowError,
NoResult,
TransportClosed,
)
from .._context import (
@ -102,14 +100,6 @@ class Portal:
) -> None:
self._chan: Channel = channel
# during the portal's lifetime
self._final_result_pld: Any|None = None
self._final_result_msg: PayloadMsg|None = None
# When set to a ``Context`` (when _submit_for_result is called)
# it is expected that ``result()`` will be awaited at some
# point.
self._expect_result_ctx: Context|None = None
self._streams: set[MsgStream] = set()
# TODO, this should be PRIVATE (and never used publicly)! since it's just
@ -137,102 +127,6 @@ class Portal:
)
return self.chan
# TODO: factor this out into a `.highlevel` API-wrapper that uses
# a single `.open_context()` call underneath.
async def _submit_for_result(
self,
ns: str,
func: str,
**kwargs
) -> None:
if self._expect_result_ctx is not None:
raise RuntimeError(
'A pending main result has already been submitted'
)
self._expect_result_ctx: Context = await self.actor.start_remote_task(
self.channel,
nsf=NamespacePath(f'{ns}:{func}'),
kwargs=kwargs,
portal=self,
)
# TODO: we should deprecate this API right? since if we remove
# `.run_in_actor()` (and instead move it to a `.highlevel`
# wrapper api (around a single `.open_context()` call) we don't
# really have any notion of a "main" remote task any more?
#
# @api_frame
async def wait_for_result(
self,
hide_tb: bool = True,
) -> Any:
'''
Return the final result delivered by a `Return`-msg from the
remote peer actor's "main" task's `return` statement.
'''
__tracebackhide__: bool = hide_tb
# Check for non-rpc errors slapped on the
# channel for which we always raise
exc = self.channel._exc
if exc:
raise exc
# not expecting a "main" result
if self._expect_result_ctx is None:
peer_id: str = f'{self.channel.aid.reprol()!r}'
log.warning(
f'Portal to peer {peer_id} will not deliver a final result?\n'
f'\n'
f'Context.result() can only be called by the parent of '
f'a sub-actor when it was spawned with '
f'`ActorNursery.run_in_actor()`'
f'\n'
f'Further this `ActorNursery`-method-API will deprecated in the'
f'near fututre!\n'
)
return NoResult
# expecting a "main" result
assert self._expect_result_ctx
if self._final_result_msg is None:
try:
(
self._final_result_msg,
self._final_result_pld,
) = await self._expect_result_ctx._pld_rx.recv_msg(
ipc=self._expect_result_ctx,
expect_msg=Return,
)
except BaseException as err:
# TODO: wrap this into `@api_frame` optionally with
# some kinda filtering mechanism like log levels?
__tracebackhide__: bool = False
raise err
return self._final_result_pld
# TODO: factor this out into a `.highlevel` API-wrapper that uses
# a single `.open_context()` call underneath.
async def result(
self,
*args,
**kwargs,
) -> Any|Exception:
typname: str = type(self).__name__
log.warning(
f'`{typname}.result()` is DEPRECATED!\n'
f'\n'
f'Use `{typname}.wait_for_result()` instead!\n'
)
return await self.wait_for_result(
*args,
**kwargs,
)
async def _cancel_streams(self):
# terminate all locally running async generator
# IPC calls

View File

@ -20,7 +20,6 @@
"""
from contextlib import asynccontextmanager as acm
from functools import partial
import inspect
from typing import (
TYPE_CHECKING,
)
@ -232,14 +231,6 @@ class ActorNursery:
# and syncing purposes to any actor opened nurseries.
self._implicit_runtime_started: bool = False
# TODO, factor this into a .hilevel api!
#
# portals spawned with ``run_in_actor()`` are
# cancelled when their "main" result arrives. Reaped by
# `_reap_ria_portals()` at nursery-block exit now that
# the 2ndary `._ria_nursery` is gone (see issue #477).
self._cancel_after_result_on_exit: set = set()
# trio.Nursery-like cancel (request) statuses
self._cancelled_caught: bool = False
self._cancel_called: bool = False
@ -372,84 +363,6 @@ class ActorNursery:
)
)
# TODO: DEPRECATE THIS:
# -[x] impl instead as a hilevel wrapper on top of
# the lower level daemon-spawn + portal APIs
# |_ see `.to_actor.run()` (issue #477) which does
# `.start_actor()` + `Portal.run()` + a one-shot
# reap via `Portal.cancel_actor()`.
# -[ ] emit a `DeprecationWarning` here (requires
# migrating all in-repo usage first!)
# -[ ] use @api_frame on the wrapper
async def run_in_actor(
self,
fn: typing.Callable,
*,
name: str | None = None,
bind_addrs: UnwrappedAddress|None = None,
rpc_module_paths: list[str] | None = None,
enable_modules: list[str] | None = None,
loglevel: str | None = None, # set log level per subactor
infect_asyncio: bool = False,
inherit_parent_main: bool = True,
proc_kwargs: dict[str, typing.Any] | None = None,
**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.
NOTE: prefer the (eventual) replacement API
`tractor.to_actor.run()` which delivers the same
one-shot semantics decoupled from this nursery's
internal spawn machinery; see issue #477.
'''
__runtimeframe__: int = 1 # noqa
mod_path: str = fn.__module__
if name is None:
# use the explicit function name if not provided
name = fn.__name__
proc_kwargs = dict(proc_kwargs or {})
portal: Portal = await self.start_actor(
name,
enable_modules=[mod_path] + (
enable_modules or rpc_module_paths or []
),
bind_addrs=bind_addrs,
loglevel=loglevel,
infect_asyncio=infect_asyncio,
inherit_parent_main=inherit_parent_main,
proc_kwargs=proc_kwargs
)
# XXX: don't allow stream funcs
if not (
inspect.iscoroutinefunction(fn) and
not getattr(fn, '_tractor_stream_function', False)
):
raise TypeError(f'{fn} must be an async function!')
# 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
# @api_frame
async def cancel(
self,
@ -568,51 +481,6 @@ class ActorNursery:
self._join_procs.set()
async def _reap_ria_portals(
an: ActorNursery,
errors: dict[tuple[str, str], BaseException],
ria_children: list[tuple[Portal, Actor]]|None = None,
) -> None:
'''
Wait on and stash the final result/error from every
`.run_in_actor()`-spawned child then cancel its actor
runtime, one `_spawn.cancel_on_completion()` task per
child.
Replaces the per-child reaper task formerly spawned by
the spawn backends (keyed off
`._cancel_after_result_on_exit` membership) which
required routing such children into the (now removable)
`._ria_nursery`. Only call AFTER `._join_procs` is set
so user code inside the nursery block retains exclusive
result-await access; see the "manually await results"
note in `spawn._mp.mp_proc()`.
'''
if ria_children is None:
ria_children: list[tuple[Portal, Actor]] = [
(portal, subactor)
for subactor, _, portal in an._children.values()
if portal in an._cancel_after_result_on_exit
]
if not ria_children:
return
async with (
collapse_eg(),
trio.open_nursery() as tn,
):
portal: Portal
subactor: Actor
for portal, subactor in ria_children:
tn.start_soon(
_spawn.cancel_on_completion,
portal,
subactor,
errors,
)
@acm
async def _open_and_supervise_one_cancels_all_nursery(
actor: Actor,
@ -627,11 +495,10 @@ async def _open_and_supervise_one_cancels_all_nursery(
errors: dict[tuple[str, str], BaseException] = {}
# The single "daemon actor" nursery into which ALL subactors
# are spawned — both `.start_actor()` daemons AND
# `.run_in_actor()` one-shots. The latter's result-reaping now
# runs via `_reap_ria_portals()` at block-exit rather than a
# 2ndary `._ria_nursery` (see the #477 removal); errors from
# this nursery bubble up to the caller.
# are spawned; one-shot (`to_actor.run()`) subactors are
# result-waited and reaped in their caller's own task-scope
# (see the #477 `.run_in_actor()`/`._ria_nursery` removal);
# errors from this nursery bubble up to the caller.
async with (
collapse_eg(),
trio.open_nursery() as da_nursery,
@ -655,11 +522,6 @@ async def _open_and_supervise_one_cancels_all_nursery(
)
an._join_procs.set()
# collect results (and errors) from all
# `.run_in_actor()` children then cancel
# each, one reaper task per child.
await _reap_ria_portals(an, errors)
# Single one-cancels-all handler for the (now single)
# daemon nursery. Pre-#477 a 2ndary `._ria_nursery`
# required a separate *outer* handler to catch errors
@ -733,46 +595,14 @@ async def _open_and_supervise_one_cancels_all_nursery(
# '------ - ------'
)
# snapshot `.run_in_actor()` children
# BEFORE cancelling: each backend
# spawn-task pops its `._children`
# entry as the proc gets reaped.
ria_children: list = [
(portal, subactor)
for subactor, _, portal
in an._children.values()
if portal in
an._cancel_after_result_on_exit
]
# cancel all subactors
await an.cancel()
# then collect any already-relayed
# results/errors from ria children.
# Tightly bounded: anything
# collectable is already queued in
# the local ctx (relayed BEFORE the
# cancel above); a child hard-killed
# without relaying just parks its
# reaper which then self-cleans (a
# `trio.Cancelled` result is never
# stashed), mirroring the old
# backend-side reaper-vs-`soft_kill`
# cancel race.
with trio.move_on_after(0.5):
await _reap_ria_portals(
an,
errors,
ria_children=ria_children,
)
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.
# an error was stashed by the handler above (or by
# a spawn task via the shared `errors` dict) so
# cancel any remaining subactors, summarize and
# re-raise.
if errors:
if an._children:
with trio.CancelScope(shield=True):

View File

@ -188,9 +188,7 @@ async def mp_proc(
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition. Any `.run_in_actor()` result-reaping
# happens up in the `ActorNursery` machinery (see
# `_supervise._reap_ria_portals()`), NOT here.
# condition.
await soft_kill(
proc,
proc_waiter,

View File

@ -126,98 +126,6 @@ def try_set_start_method(
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.
'''
__tracebackhide__ = True
try:
log.debug(
f'Waiting on final result from {actor.aid.uid}'
)
# XXX: streams should never be reaped here since they should
# always be established and shutdown using a context manager api
final: Any = await portal.wait_for_result()
except (
Exception,
BaseExceptionGroup,
) as err:
# we reraise in the parent task via a ``BaseExceptionGroup``
return err
except trio.Cancelled as err:
# lol, of course we need this too ;P
# TODO: merge with above?
log.warning(
'Cancelled portal result waiter task:\n'
f'uid: {portal.channel.aid}\n'
f'error: {err}\n'
)
return err
else:
log.debug(
f'Returning final result from portal:\n'
f'uid: {portal.channel.aid}\n'
f'result: {final}\n'
)
return final
async def cancel_on_completion(
portal: Portal,
actor: Actor,
errors: dict[tuple[str, str], Exception],
) -> None:
'''
Cancel actor gracefully once its "main" portal's
result arrives.
Should only be called for actors spawned via the
`Portal.run_in_actor()` API.
=> and really this API will be deprecated and should be
re-implemented as a `.hilevel.one_shot_task_nursery()`..)
'''
# if this call errors we store the exception for later
# in ``errors`` which will be reraised inside
# an exception group and we still send out a cancel request
result: Any|Exception = await exhaust_portal(
portal,
actor,
)
if isinstance(result, Exception):
errors[actor.aid.uid]: Exception = result
log.cancel(
'Cancelling subactor runtime due to error:\n\n'
f'Portal.cancel_actor() => {portal.channel.aid}\n\n'
f'error: {result}\n'
)
else:
log.runtime(
'Cancelling subactor gracefully:\n\n'
f'Portal.cancel_actor() => {portal.channel.aid}\n\n'
f'result: {result}\n'
)
# cancel the process now that we have a final result
await portal.cancel_actor()
async def hard_kill(
proc: trio.Process,
@ -461,8 +369,8 @@ async def new_proc(
# NOTE: bottom-of-module to avoid a circular import since the
# backend submodules pull `cancel_on_completion`/`soft_kill`/
# `hard_kill`/`proc_waiter` from this module.
# backend submodules pull `soft_kill`/`hard_kill`/`proc_waiter`
# from this module.
from ._trio import trio_proc
from ._mp import mp_proc

View File

@ -196,9 +196,7 @@ async def trio_proc(
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition. Any `.run_in_actor()` result-reaping
# happens up in the `ActorNursery` machinery (see
# `_supervise._reap_ria_portals()`), NOT here.
# condition.
await soft_kill(
proc,
trio.Process.wait, # XXX, uses `pidfd_open()` below.

View File

@ -23,8 +23,8 @@ Adopts the "run it over there" parlance from analogous
reuse) a subactor, schedule a single remote task, wait on
its result and (when the call owns the subactor) reap it.
The "spiritual successor" to (and eventual replacement of)
the `ActorNursery.run_in_actor()` API; see
The "spiritual successor" to (and replacement of) the removed
legacy `ActorNursery.run_in_actor()` API; see
https://github.com/goodboy/tractor/issues/477
'''

View File

@ -31,7 +31,7 @@ the lower level daemon-actor spawn + portal APIs,
such that error collection and propagation happens in the
*caller's task* (and thus whatever `trio` nursery/scope
encloses it) instead of inside the actor-nursery's
spawn-machinery nurseries as with the (to be deprecated)
spawn-machinery nurseries as with the (now removed) legacy
`ActorNursery.run_in_actor()` API.
'''
@ -151,9 +151,9 @@ async def run(
the distributed-parallelism equivalent of
`trio.to_thread.run_sync()`.
Unlike `ActorNursery.run_in_actor()` (which returns
a `Portal` whose result is only collected at
actor-nursery teardown) this is a plain "call and
Unlike the removed legacy `.run_in_actor()` (which
returned a `Portal` whose result was only collected
at actor-nursery teardown) this is a plain "call and
wait" primitive: any remote error is raised HERE, in
the caller's task. Concurrency is composed the usual
`trio` way by scheduling multiple `run()` calls in