Merge pull request #444 from goodboy/spawn_modularize

Spawner modules: split up subactor spawning  backends
subint_forkserver_backend
Bd 2026-04-23 18:42:33 -04:00 committed by GitHub
commit e75e29b1dc
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13 changed files with 1059 additions and 440 deletions

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---
model: claude-opus-4-7[1m]
service: claude
session: subints-spawner-design-kickoff
timestamp: 2026-04-17T03:49:18Z
git_ref: 9703210
scope: docs
substantive: true
raw_file: 20260417T034918Z_9703210_prompt_io.raw.md
---
## Prompt
Drive the "first big boi, from GH issue" task seeded by
`ai/prompt-io/prompts/subints_spawner.md`: design, plan
and implement sub-interpreter (subint) spawn-backend
support per issue #379, including (1) modularizing
`tractor.spawn._spawn` into per-backend submods, (2) a new
`._subint` backend, and (3) harness parametrization via the
existing `--spawn-backend` / `start_method` pytest fixture
in `tractor._testing.pytest`.
Follow-up clarifications from the user (this turn):
1. Pin `<3.15` on this dev branch and feature-gate subint
tests — chose option (a).
2. Split Phase A (modularization) into its own PR first.
3. Defer the `fork()`-via-subint hack to a follow-up.
4. Harness flag is `pytest --spawn-backend <key>` CLI →
`start_method` fixture (prompt file updated to match).
## Response summary
Produced a three-phase plan and a concrete Phase A (pure
modularization) file-split plan for user review; no code
written yet — the green-light to start Phase A was given
in this same turn conditional on logging this prompt-io
entry first.
Phases:
- **A — modularize** `tractor/spawn/_spawn.py` (847 LOC):
keep generic machinery in `_spawn.py`, extract
`trio_proc``spawn/_trio.py`, `mp_proc`
`spawn/_mp.py`. No pin bump.
- **B — `_subint` backend**: bump `pyproject.toml`
`requires-python` upper to `<3.15`; add `'subint'` to
`SpawnMethodKey`; reuse existing UDS transport; shm
escape-hatch deferred.
- **C — harness**: drive the valid-backend tuple in
`tractor/_testing/pytest.py:345-349` from
`typing.get_args(SpawnMethodKey)`; skip subint tests on
Python < 3.14.
Key findings surfaced to the user:
- `pyproject.toml:12` currently pins `<3.14`; PEP 734
`concurrent.interpreters` only ships in 3.14 — the
load-bearing constraint.
- `_testing/pytest.py:345-349` hardcodes valid backends
as a string tuple (`'mp_spawn'`, `'mp_forkserver'`,
`'trio'`) — should be `get_args(SpawnMethodKey)`.
- `_testing/pytest.py:228` already imports
`try_set_start_method` from `tractor.spawn._spawn`
keeping the `_spawn.py` path as the "core" module
avoids breaking external refs during Phase A.
Phase A commit breakdown (each green via `/run-tests`):
1. Drive `_testing/pytest.py` backend-tuple from
`get_args(SpawnMethodKey)` — prep.
2. Extract `trio_proc``spawn/_trio.py`; `_methods`
registry imports it.
3. Extract `mp_proc``spawn/_mp.py`; `_methods` imports
it.
4. Tidy `spawn/__init__.py` docstring for the new layout.
Workflow: Phase A runs in a new worktree via `/open-wkt
spawn_modularize` (branch `wkt/spawn_modularize`) and
lands as its own PR before Phase B/C returns to the
current `claude_bun_opus4.7_subint_spawner_backend`
branch.
## Files changed
None this turn — design/planning only. The user updated
`ai/prompt-io/prompts/subints_spawner.md` themselves to
complete the truncated sentence on line 32 (harness-flag
reference).
Upcoming (Phase A, next turn):
- `tractor/spawn/_spawn.py` — trimmed to "core"
- `tractor/spawn/_trio.py` — new; holds `trio_proc()`
- `tractor/spawn/_mp.py` — new; holds `mp_proc()`
- `tractor/spawn/__init__.py` — docstring refresh
- `tractor/_testing/pytest.py` — backend tuple from
`get_args(SpawnMethodKey)`
## Human edits
None — committed as generated. User completed the
truncated sentence on line 32 of
`ai/prompt-io/prompts/subints_spawner.md` themselves
*before* this prompt-io log was written; that edit was
the user's authoring, not an edit to AI output.

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---
model: claude-opus-4-7[1m]
service: claude
timestamp: 2026-04-17T03:49:18Z
git_ref: 9703210
diff_cmd: git diff HEAD~1..HEAD
---
No code was produced in this turn — this is a design/planning
exchange for subint spawner support per issue #379. Captured
verbatim below are the two substantive AI responses, which
together fix the phased plan (A: modularize, B: subint, C:
harness) and the concrete Phase A file split before any
implementation begins.
## Turn 1 — initial triage + gating questions
> Read: issue #379, current `spawn/_spawn.py` (847 lines),
> and pyproject pins.
>
> ## Task summary
> Design/plan/implement subint backend per #379, plus
> modularize `spawn/_spawn.py` into per-backend submods, plus
> harness flag for test parametrization.
>
> ## Key finding
> `pyproject.toml:12` pins `requires-python = ">=3.12, <3.14"`
> — but `concurrent.interpreters` / PEP 734 **only lands in
> 3.14**. This is the load-bearing design question before
> coding.
>
> ## Proposed phasing (incremental commits)
> - **Phase A — modularize** `_spawn.py`: extract `trio_proc`
> → `spawn/_trio.py`, `mp_proc``spawn/_mp.py`, keep
> generic helpers (`hard_kill`/`soft_kill`/`new_proc`
> dispatcher/`SpawnMethodKey`) in a slim core. Tests green
> at each step.
> - **Phase B — `_subint` backend**: extend `SpawnMethodKey`
> with `'subint'`; reuse UDS transport by default; shm is
> escape-hatch follow-up.
> - **Phase C — harness**: add backend-parametrize flag, skip
> subint when Python < 3.14.
>
> ## Gating questions before I start
> 1. **Python pin**: bump `<3.15` and feature-gate subint
> tests (a), require 3.14 outright (b), or backport shim
> (c)? I'd recommend (a).
> 2. **PR strategy**: one branch, commits per phase (current
> `claude_bun_opus4.7_subint_spawner_backend`)? Or split
> Phase A as its own PR first?
> 3. **`fork()`-via-subint hack** from the issue's "Our own
> thoughts" section — v1 or follow-up? I'd defer to
> follow-up.
> 4. **Prompt file line 32 is truncated** — what's the
> existing harness flag name you had in mind ("using the
> existing ___")?
>
> Which of these are already decided vs. open?
## User answers (for the raw record)
1. bump `<3.15`, feature-gate — option (a).
2. split Phase A as its own PR first.
3. defer `fork()`-via-subint hack.
4. harness flag is `--spawn-backend` CLI → `start_method`
fixture, per `tractor._testing._pytest`. Prompt file
updated accordingly.
## Turn 2 — concrete Phase A plan
> Good — prompt file now ends cleanly; harness flag
> confirmed as `--spawn-backend` CLI → `start_method`
> fixture (via `_testing/pytest.py:193,355`). Also noted
> `pytest.py:345-349` hardcodes valid backends as a string
> tuple — `typing.get_args(SpawnMethodKey)` should drive
> that list.
>
> ## Phase A — concrete plan (separate PR)
>
> **File split** in `tractor/spawn/`:
> - `_spawn.py` stays as "core": keeps `SpawnMethodKey`,
> `_spawn_method`, `proc_waiter`, `try_set_start_method`,
> `exhaust_portal`, `cancel_on_completion`, `hard_kill`,
> `soft_kill`, `new_proc` dispatcher, `_methods`
> registry. Kept at this path so `_testing/pytest.py:228`
> and other external imports don't break.
> - `_trio.py``trio_proc()` (lines 448671, ~224 lines)
> - `_mp.py``mp_proc()` (lines 672842, ~171 lines)
> - `_methods` dict imports the two backend fns from the
> new modules.
>
> **Commits** (each green via `/run-tests`):
> 1. Drive `_testing/pytest.py` backend-tuple from
> `get_args(SpawnMethodKey)` — tiny prep.
> 2. Extract `trio_proc``spawn/_trio.py`; `_methods`
> imports it.
> 3. Extract `mp_proc``spawn/_mp.py`; `_methods`
> imports it.
> 4. Tidy `spawn/__init__.py` docstring to describe new
> layout.
>
> No pyproject pin bump in Phase A (that's Phase B).
>
> **Workflow**: I'd run this in a new worktree via
> `/open-wkt spawn_modularize` (branch
> `wkt/spawn_modularize`), then open a PR before returning
> to the current `claude_bun_opus4.7_subint_spawner_backend`
> branch for Phase B/C.
>
> Green-light to `/open-wkt` and start Phase A?
## User final response
> all this first then yes, green light.
— log this `/prompt-io` entry first, then proceed with
Phase A in a worktree.

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---
model: claude-opus-4-7[1m]
service: claude
session: subints-spawner-phase-a-impl
timestamp: 2026-04-17T03:58:05Z
git_ref: 61a73ba
scope: code
substantive: true
raw_file: 20260417T035800Z_61a73ba_prompt_io.raw.md
---
## Prompt
Follow-up from the design session logged in
`20260417T034918Z_9703210_prompt_io.md`: the user
greenlit Phase A after `/prompt-io` tracking, so
execute the Phase A "modularize `spawn._spawn`" plan
end-to-end in a new worktree — four logical steps
(pytest harness prep, `trio_proc` extraction,
`mp_proc` extraction, docstring refresh), each green
via `/run-tests`.
User directives during execution:
- **Option 3** for the test cadence ("continue A.2A.4
first, then run the full suite once at the end of
Phase A").
- **One commit** for the whole phase ("can't we just
commit the whole patch in one commit?") instead of
the 3/4-commit split I initially proposed.
- **Don't pre-draft** commit messages — wait for the
user to invoke `/commit-msg` (captured as feedback
memory `feedback_no_auto_draft_commit_msgs.md`).
## Response summary
Produced the cohesive Phase A modularization patch,
landed as commit `61a73bae` (subject: `Mv
trio_proc`/`mp_proc` to per-backend submods`). Five
files changed, +565 / -418 lines.
Key pieces of the patch (generated by claude,
reviewed by the human before commit):
- `tractor/spawn/_trio.py`**new**; receives
`trio_proc()` verbatim from `_spawn.py`; imports
cross-backend helpers back from `._spawn`.
- `tractor/spawn/_mp.py`**new**; receives
`mp_proc()` verbatim; uses `from . import _spawn`
for late-binding access to the mutable `_ctx` /
`_spawn_method` globals (design decision made
during impl, not the original plan).
- `tractor/spawn/_spawn.py` — shrunk 847 → 448 LOC;
import pruning; bottom-of-module late imports for
`trio_proc` / `mp_proc` with a one-line comment
explaining the circular-dep reason.
- `tractor/spawn/__init__.py` — docstring refresh
describing the new layout.
- `tractor/_testing/pytest.py` — the valid-backend
set now comes from `typing.get_args(SpawnMethodKey)`
so future additions (`'subint'`) don't need harness
edits.
## Files changed
See `git diff 61a73ba~1..61a73ba --stat`:
```
tractor/_testing/pytest.py | 12 +-
tractor/spawn/__init__.py | 31 +++-
tractor/spawn/_mp.py | 235 ++++++++++++++++++++++++
tractor/spawn/_spawn.py | 413 +-------------------------------
tractor/spawn/_trio.py | 292 ++++++++++++++++++++++++++++
5 files changed, 565 insertions(+), 418 deletions(-)
```
Validation:
- import probe + `_methods` wiring check — OK
- spawn-relevant test subset — 37 passed, 1 skipped
- full suite — 350 passed, 14 skipped, 7 xfailed, 1
xpassed
## Human edits
None — committed as generated by claude (no diff
between `.claude/git_commit_msg_LATEST.md` and the
committed body, as far as the assistant could
observe).

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---
model: claude-opus-4-7[1m]
service: claude
timestamp: 2026-04-17T03:58:05Z
git_ref: 61a73ba
diff_cmd: git diff 61a73ba~1..61a73ba
---
Code generated in this turn was committed verbatim as
`61a73bae` ("Mv `trio_proc`/`mp_proc` to per-backend
submods"). Per diff-ref mode, per-file code is captured
via the pointers below, each followed by a prose
summary of what the AI generated. Non-code output
(sanity-check results, design rationale) is included
verbatim.
## Per-file generated content
### `tractor/spawn/_trio.py` (new, 292 lines)
> `git diff 61a73ba~1..61a73ba -- tractor/spawn/_trio.py`
Pure lift-and-shift of `trio_proc()` out of
`tractor/spawn/_spawn.py` (previously lines 448670).
Added AGPL header + module docstring describing the
backend; imports include local `from ._spawn import
cancel_on_completion, hard_kill, soft_kill` which
creates the bottom-of-module late-import pattern in
the core file to avoid a cycle. All call sites,
log-format strings, and body logic are byte-identical
to the originals — no semantic change.
### `tractor/spawn/_mp.py` (new, 235 lines)
> `git diff 61a73ba~1..61a73ba -- tractor/spawn/_mp.py`
Pure lift-and-shift of `mp_proc()` out of
`tractor/spawn/_spawn.py` (previously lines 672842).
Same AGPL header convention. Key difference from
`_trio.py`: uses `from . import _spawn` (module
import, not from-import) for `_ctx` and
`_spawn_method` references — these are mutated at
runtime by `try_set_start_method()`, so late binding
via `_spawn._ctx` / `_spawn._spawn_method` is required
for correctness. Also imports `cancel_on_completion`,
`soft_kill`, `proc_waiter` from `._spawn`.
### `tractor/spawn/_spawn.py` (modified, 847 → 448 LOC)
> `git diff 61a73ba~1..61a73ba -- tractor/spawn/_spawn.py`
- removed `trio_proc()` body (moved to `_trio.py`)
- removed `mp_proc()` body (moved to `_mp.py`)
- pruned imports now unused in core: `sys`,
`is_root_process`, `current_actor`,
`is_main_process`, `_mp_main`, `ActorFailure`,
`pretty_struct`, `_pformat`
- added bottom-of-file late imports
`from ._trio import trio_proc` and
`from ._mp import mp_proc` with a one-line
comment explaining why (circular dep)
- `_methods` dict unchanged structurally; still binds
`'trio' → trio_proc`, `'mp_spawn' → mp_proc`,
`'mp_forkserver' → mp_proc`
### `tractor/spawn/__init__.py` (modified)
> `git diff 61a73ba~1..61a73ba -- tractor/spawn/__init__.py`
Docstring rewrite only — no code. New text describes
the per-backend `Layout` with `- ._spawn` (core),
`- ._trio` (default), `- ._mp` (two mp variants), and
reiterates the "no eager import" NOTE.
### `tractor/_testing/pytest.py` (modified)
> `git diff 61a73ba~1..61a73ba -- tractor/_testing/pytest.py`
Two-line logical change (plus a comment):
- `from typing import` grows `get_args`
- `pytest_generate_tests()` replaces the hardcoded
`('mp_spawn','mp_forkserver','trio')` tuple with
`get_args(SpawnMethodKey)` via lazy import
`from tractor.spawn._spawn import SpawnMethodKey`
inside the function body (matching the project's
existing lazy-import convention for the spawn
module)
## Non-code output (verbatim)
### Design rationale for the file split
From my Phase A plan turn (already captured in
`20260417T034918Z_9703210_prompt_io.md`):
- `_spawn.py` stays as the "core" rather than renamed
to `_core.py` so external imports
(`_testing/pytest.py:228` imports
`try_set_start_method` from `tractor.spawn._spawn`)
keep working without churn.
- Per-backend extraction chosen over alternatives
(e.g. splitting generic helpers further) because
the immediate motivation is hosting a 3rd
`_subint.py` sibling cleanly in Phase B.
### Sanity-check output (verbatim terminal excerpts)
Post-extraction import probe:
```
extraction OK
_methods: {'trio': 'tractor.spawn._trio.trio_proc',
'mp_spawn': 'tractor.spawn._mp.mp_proc',
'mp_forkserver': 'tractor.spawn._mp.mp_proc'}
```
Spawn-relevant test subset (`tests/test_local.py
test_rpc.py test_spawning.py test_multi_program.py
test_discovery.py`):
```
37 passed, 1 skipped, 14 warnings in 55.37s
```
Full suite:
```
350 passed, 14 skipped, 7 xfailed, 1 xpassed,
151 warnings in 437.73s (0:07:17)
```
No regressions vs. `main`. One transient `-x`
early-stop `ERROR` on
`test_close_channel_explicit_remote_registrar[trio-True]`
was flaky (passed solo, passed without `-x`), not
caused by this refactor.
### Commit message
Also AI-drafted (via `/commit-msg`) — the 40-line
message on commit `61a73bae` itself. Not reproduced
here; see `git log -1 61a73bae`.

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@ -0,0 +1,34 @@
This is your first big boi, "from GH issue" design, plan and
implement task.
We need to try and add sub-interpreter (aka subint) support per the
issue,
https://github.com/goodboy/tractor/issues/379
Part of this work should include,
- modularizing and thus better organizing the `.spawn.*` subpkg by
breaking up various backends currently in `spawn._spawn` into
separate submods where it makes sense.
- add a new `._subint` backend which tries to keep as much of the
inter-process-isolation machinery in use as possible but with plans
to optimize for localhost only benefits as offered by python's
subints where possible.
* utilizing localhost-only tpts like UDS, shm-buffers for
performant IPC between subactors but also leveraging the benefits from
the traditional OS subprocs mem/storage-domain isolation, linux
namespaces where possible and as available/permitted by whatever
is happening under the hood with how cpython implements subints.
* default configuration should encourage state isolation as with
subprocs, but explicit public escape hatches to enable rigorously
managed shm channels for high performance apps.
- all tests should be (able to be) parameterized to use the new
`subints` backend and enabled by flag in the harness using the
existing `pytest --spawn-backend <spawn-backend>` support offered in
the `open_root_actor()` and `.testing._pytest` harness override
fixture.

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@ -46,7 +46,7 @@ dependencies = [
# built-in multi-actor `pdb` REPL
"pdbp>=1.8.2,<2", # windows only (from `pdbp`)
# typed IPC msging
"msgspec>=0.19.0",
"msgspec>=0.21.0",
"cffi>=1.17.1",
"bidict>=0.23.1",
"multiaddr>=0.2.0",

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@ -27,6 +27,7 @@ import inspect
import platform
from typing import (
Callable,
get_args,
)
import pytest
@ -341,12 +342,11 @@ def pytest_generate_tests(
# XXX some weird windows bug with `pytest`?
spawn_backend = 'trio'
# TODO: maybe just use the literal `._spawn.SpawnMethodKey`?
assert spawn_backend in (
'mp_spawn',
'mp_forkserver',
'trio',
)
# drive the valid-backend set from the canonical `Literal` so
# adding a new spawn backend (e.g. `'subint'`) doesn't require
# touching the harness.
from tractor.spawn._spawn import SpawnMethodKey
assert spawn_backend in get_args(SpawnMethodKey)
# NOTE: used-to-be-used-to dyanmically parametrize tests for when
# you just passed --spawn-backend=`mp` on the cli, but now we expect

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@ -15,12 +15,26 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Actor process spawning machinery using
multiple backends (trio, multiprocessing).
Actor process spawning machinery using multiple backends.
NOTE: to avoid circular imports, this ``__init__``
does NOT eagerly import submodules. Use direct
module paths like ``tractor.spawn._spawn`` or
``tractor.spawn._entry`` instead.
- `._spawn`: cross-backend subactor-as-sub[proc|int] spawning
and supervision routines.
Per-backend submodules (each exposes a single `*_proc()`
coroutine registered in `_spawn._methods`):
- `._trio`: the `trio`-native subprocess backend (default,
all platforms), spawns via `trio.lowlevel.open_process()`.
- `._mp`: the stdlib `multiprocessing` backend variants driven by
the `mp.context` bound to `_spawn._ctx`:
* `'mp_spawn'`,
* `'mp_forkserver'`
Entry-point helpers live in `._entry`/`._mp_fixup_main`/
`._forkserver_override`.
NOTE: to avoid circular imports, this ``__init__`` does NOT eagerly
import submodules.
'''

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@ -21,7 +21,6 @@ Sub-process entry points.
from __future__ import annotations
from functools import partial
import multiprocessing as mp
# import os
from typing import (
Any,
TYPE_CHECKING,

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@ -0,0 +1,234 @@
# tractor: structured concurrent "actors".
# Copyright 2018-eternity Tyler Goodlet.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
The `multiprocessing` subprocess spawning backends (`spawn`
and `forkserver` variants).
Driven by the stdlib `multiprocessing` context selected via
`try_set_start_method()` in the `_spawn` core module, which
sets the module-global `_ctx` and `_spawn_method` read here.
'''
from __future__ import annotations
import multiprocessing as mp
from typing import (
Any,
TYPE_CHECKING,
)
import trio
from trio import TaskStatus
from tractor.runtime._state import (
current_actor,
is_main_process,
)
from tractor.log import get_logger
from tractor.discovery._addr import UnwrappedAddress
from tractor.runtime._portal import Portal
from tractor.runtime._runtime import Actor
from tractor._exceptions import ActorFailure
from ._entry import _mp_main
# NOTE: module-import (not from-import) so we dynamically see
# the *current* `_ctx` / `_spawn_method` values, which are mutated
# by `try_set_start_method()` after module load time.
from . import _spawn
from ._spawn import (
cancel_on_completion,
proc_waiter,
soft_kill,
)
if TYPE_CHECKING:
from tractor.ipc import (
_server,
)
from tractor.runtime._supervise import ActorNursery
log = get_logger('tractor')
async def mp_proc(
name: str,
actor_nursery: ActorNursery, # type: ignore # noqa
subactor: Actor,
errors: dict[tuple[str, str], Exception],
# passed through to actor main
bind_addrs: list[UnwrappedAddress],
parent_addr: UnwrappedAddress,
_runtime_vars: dict[str, Any], # serialized and sent to _child
*,
infect_asyncio: bool = False,
task_status: TaskStatus[Portal] = trio.TASK_STATUS_IGNORED,
proc_kwargs: dict[str, any] = {}
) -> None:
# uggh zone
try:
from multiprocessing import semaphore_tracker # type: ignore
resource_tracker = semaphore_tracker
resource_tracker._resource_tracker = resource_tracker._semaphore_tracker # noqa
except ImportError:
# 3.8 introduces a more general version that also tracks shared mems
from multiprocessing import resource_tracker # type: ignore
assert _spawn._ctx
start_method = _spawn._ctx.get_start_method()
if start_method == 'forkserver':
from multiprocessing import forkserver # type: ignore
# 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(enable_modules)
forkserver.ensure_running()
fs_info = (
fs._forkserver_address, # type: ignore # noqa
fs._forkserver_alive_fd, # type: ignore # noqa
getattr(fs, '_forkserver_pid', None),
getattr(
resource_tracker._resource_tracker, '_pid', None),
resource_tracker._resource_tracker._fd,
)
else: # request to forkerserver to fork a new child
assert curr_actor._forkserver_info
fs_info = (
fs._forkserver_address, # type: ignore # noqa
fs._forkserver_alive_fd, # type: ignore # noqa
fs._forkserver_pid, # type: ignore # noqa
resource_tracker._resource_tracker._pid,
resource_tracker._resource_tracker._fd,
) = curr_actor._forkserver_info
else:
# spawn method
fs_info = (None, None, None, None, None)
proc: mp.Process = _spawn._ctx.Process( # type: ignore
target=_mp_main,
args=(
subactor,
bind_addrs,
fs_info,
_spawn._spawn_method,
parent_addr,
infect_asyncio,
),
# 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.aid.uid] = (subactor, proc, None)
proc.start()
if not proc.is_alive():
raise ActorFailure("Couldn't start sub-actor?")
log.runtime(f"Started {proc}")
ipc_server: _server.Server = actor_nursery._actor.ipc_server
try:
# 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 ipc_server.wait_for_peer(
subactor.aid.uid,
)
# XXX: monkey patch poll API to match the ``subprocess`` API..
# not sure why they don't expose this but kk.
proc.poll = lambda: proc.exitcode # type: ignore
# except:
# TODO: in the case we were cancelled before the sub-proc
# registered itself back we must be sure to try and clean
# any process we may have started.
portal = Portal(chan)
actor_nursery._children[subactor.aid.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.
with trio.CancelScope(shield=True):
await actor_nursery._join_procs.wait()
async with trio.open_nursery() as nursery:
if portal in actor_nursery._cancel_after_result_on_exit:
nursery.start_soon(
cancel_on_completion,
portal,
subactor,
errors
)
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition.
await soft_kill(
proc,
proc_waiter,
portal
)
# cancel result waiter that may have been spawned in
# tandem if not done already
log.warning(
"Cancelling existing result waiter task for "
f"{subactor.aid.uid}")
nursery.cancel_scope.cancel()
finally:
# hard reap sequence
if proc.is_alive():
log.cancel(f"Attempting to hard kill {proc}")
with trio.move_on_after(0.1) as cs:
cs.shield = True
await proc_waiter(proc)
if cs.cancelled_caught:
proc.terminate()
proc.join()
log.debug(f"Joined {proc}")
# pop child entry to indicate we are no longer managing subactor
actor_nursery._children.pop(subactor.aid.uid)
# TODO: prolly report to ``mypy`` how this causes all sorts of
# false errors..
# subactor, proc, portal = actor_nursery._children.pop(subactor.uid)

View File

@ -15,12 +15,12 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Machinery for actor process spawning using multiple backends.
Top level routines & machinery for actor-as-process/subint spawning
over multiple backends.
"""
from __future__ import annotations
import multiprocessing as mp
import sys
import platform
from typing import (
Any,
@ -34,32 +34,19 @@ from typing import (
import trio
from trio import TaskStatus
from ..devx import (
debug,
pformat as _pformat
)
from ..devx import debug
from tractor.runtime._state import (
current_actor,
is_main_process,
is_root_process,
debug_mode,
_runtime_vars,
)
from tractor.log import get_logger
from tractor.discovery._addr import UnwrappedAddress
from tractor.runtime._portal import Portal
from tractor.runtime._runtime import Actor
from ._entry import _mp_main
from tractor._exceptions import ActorFailure
from tractor.msg import (
types as msgtypes,
pretty_struct,
)
from tractor.msg import types as msgtypes
if TYPE_CHECKING:
from tractor.ipc import (
_server,
Channel,
)
from tractor.runtime._supervise import ActorNursery
@ -445,398 +432,11 @@ async def new_proc(
)
async def trio_proc(
name: str,
actor_nursery: ActorNursery,
subactor: Actor,
errors: dict[tuple[str, str], Exception],
# passed through to actor main
bind_addrs: list[UnwrappedAddress],
parent_addr: UnwrappedAddress,
_runtime_vars: dict[str, Any], # serialized and sent to _child
*,
infect_asyncio: bool = False,
task_status: TaskStatus[Portal] = trio.TASK_STATUS_IGNORED,
proc_kwargs: dict[str, any] = {}
) -> None:
'''
Create a new ``Process`` using a "spawn method" as (configured using
``try_set_start_method()``).
This routine should be started in a actor runtime task and the logic
here is to be considered the core supervision strategy.
'''
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",
# TODO, how to pass this over "wire" encodings like
# cmdline args?
# -[ ] maybe we can add an `msgtypes.Aid.min_tuple()` ?
str(subactor.aid.uid),
# Address the child must connect to on startup
"--parent_addr",
str(parent_addr)
]
if subactor.loglevel:
spawn_cmd += [
"--loglevel",
subactor.loglevel
]
# Tell child to run in guest mode on top of ``asyncio`` loop
if infect_asyncio:
spawn_cmd.append("--asyncio")
cancelled_during_spawn: bool = False
proc: trio.Process|None = None
ipc_server: _server.Server = actor_nursery._actor.ipc_server
try:
try:
proc: trio.Process = await trio.lowlevel.open_process(spawn_cmd, **proc_kwargs)
log.runtime(
f'Started new child subproc\n'
f'(>\n'
f' |_{proc}\n'
)
# 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 ipc_server.wait_for_peer(
subactor.aid.uid
)
except trio.Cancelled:
cancelled_during_spawn = True
# we may cancel before the child connects back in which
# case avoid clobbering the pdb tty.
if debug_mode():
with trio.CancelScope(shield=True):
# don't clobber an ongoing pdb
if is_root_process():
await debug.maybe_wait_for_debugger()
elif proc is not None:
async with debug.acquire_debug_lock(
subactor_uid=subactor.aid.uid
):
# soft wait on the proc to terminate
with trio.move_on_after(0.5):
await proc.wait()
raise
# a sub-proc ref **must** exist now
assert proc
portal = Portal(chan)
actor_nursery._children[subactor.aid.uid] = (
subactor,
proc,
portal,
)
# send a "spawning specification" which configures the
# initial runtime state of the child.
sspec = msgtypes.SpawnSpec(
_parent_main_data=subactor._parent_main_data,
enable_modules=subactor.enable_modules,
reg_addrs=subactor.reg_addrs,
bind_addrs=bind_addrs,
_runtime_vars=_runtime_vars,
)
log.runtime(
f'Sending spawn spec to child\n'
f'{{}}=> {chan.aid.reprol()!r}\n'
f'\n'
f'{pretty_struct.pformat(sspec)}\n'
)
await chan.send(sspec)
# track subactor in current nursery
curr_actor: Actor = current_actor()
curr_actor._actoruid2nursery[subactor.aid.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()
async with trio.open_nursery() as nursery:
if portal in actor_nursery._cancel_after_result_on_exit:
nursery.start_soon(
cancel_on_completion,
portal,
subactor,
errors
)
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition.
await soft_kill(
proc,
trio.Process.wait, # XXX, uses `pidfd_open()` below.
portal
)
# cancel result waiter that may have been spawned in
# tandem if not done already
log.cancel(
'Cancelling portal result reaper task\n'
f'c)> {subactor.aid.reprol()!r}\n'
)
nursery.cancel_scope.cancel()
finally:
# XXX NOTE XXX: The "hard" reap since no actor zombies are
# allowed! Do this **after** cancellation/teardown to avoid
# killing the process too early.
if proc:
reap_repr: str = _pformat.nest_from_op(
input_op='>x)',
text=subactor.pformat(),
)
log.cancel(
f'Hard reap sequence starting for subactor\n'
f'{reap_repr}'
)
with trio.CancelScope(shield=True):
# don't clobber an ongoing pdb
if cancelled_during_spawn:
# Try again to avoid TTY clobbering.
async with debug.acquire_debug_lock(
subactor_uid=subactor.aid.uid
):
with trio.move_on_after(0.5):
await proc.wait()
await debug.maybe_wait_for_debugger(
child_in_debug=_runtime_vars.get(
'_debug_mode', False
),
header_msg=(
'Delaying subproc reaper while debugger locked..\n'
),
# TODO: need a diff value then default?
# poll_steps=9999999,
)
# TODO: solve the following issue where we need
# to do a similar wait like this but in an
# "intermediary" parent actor that itself isn't
# in debug but has a child that is, and we need
# to hold off on relaying SIGINT until that child
# is complete.
# https://github.com/goodboy/tractor/issues/320
# -[ ] we need to handle non-root parent-actors specially
# by somehow determining if a child is in debug and then
# avoiding cancel/kill of said child by this
# (intermediary) parent until such a time as the root says
# the pdb lock is released and we are good to tear down
# (our children)..
#
# -[ ] so maybe something like this where we try to
# acquire the lock and get notified of who has it,
# check that uid against our known children?
# this_uid: tuple[str, str] = current_actor().uid
# await debug.acquire_debug_lock(this_uid)
if proc.poll() is None:
log.cancel(f"Attempting to hard kill {proc}")
await hard_kill(proc)
log.debug(f"Joined {proc}")
else:
log.warning('Nursery cancelled before sub-proc started')
if not cancelled_during_spawn:
# pop child entry to indicate we no longer managing this
# subactor
actor_nursery._children.pop(subactor.aid.uid)
async def mp_proc(
name: str,
actor_nursery: ActorNursery, # type: ignore # noqa
subactor: Actor,
errors: dict[tuple[str, str], Exception],
# passed through to actor main
bind_addrs: list[UnwrappedAddress],
parent_addr: UnwrappedAddress,
_runtime_vars: dict[str, Any], # serialized and sent to _child
*,
infect_asyncio: bool = False,
task_status: TaskStatus[Portal] = trio.TASK_STATUS_IGNORED,
proc_kwargs: dict[str, any] = {}
) -> None:
# uggh zone
try:
from multiprocessing import semaphore_tracker # type: ignore
resource_tracker = semaphore_tracker
resource_tracker._resource_tracker = resource_tracker._semaphore_tracker # noqa
except ImportError:
# 3.8 introduces a more general version that also tracks shared mems
from multiprocessing import resource_tracker # type: ignore
assert _ctx
start_method = _ctx.get_start_method()
if start_method == 'forkserver':
from multiprocessing import forkserver # type: ignore
# 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(enable_modules)
forkserver.ensure_running()
fs_info = (
fs._forkserver_address, # type: ignore # noqa
fs._forkserver_alive_fd, # type: ignore # noqa
getattr(fs, '_forkserver_pid', None),
getattr(
resource_tracker._resource_tracker, '_pid', None),
resource_tracker._resource_tracker._fd,
)
else: # request to forkerserver to fork a new child
assert curr_actor._forkserver_info
fs_info = (
fs._forkserver_address, # type: ignore # noqa
fs._forkserver_alive_fd, # type: ignore # noqa
fs._forkserver_pid, # type: ignore # noqa
resource_tracker._resource_tracker._pid,
resource_tracker._resource_tracker._fd,
) = curr_actor._forkserver_info
else:
# spawn method
fs_info = (None, None, None, None, None)
proc: mp.Process = _ctx.Process( # type: ignore
target=_mp_main,
args=(
subactor,
bind_addrs,
fs_info,
_spawn_method,
parent_addr,
infect_asyncio,
),
# 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.aid.uid] = (subactor, proc, None)
proc.start()
if not proc.is_alive():
raise ActorFailure("Couldn't start sub-actor?")
log.runtime(f"Started {proc}")
ipc_server: _server.Server = actor_nursery._actor.ipc_server
try:
# 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 ipc_server.wait_for_peer(
subactor.aid.uid,
)
# XXX: monkey patch poll API to match the ``subprocess`` API..
# not sure why they don't expose this but kk.
proc.poll = lambda: proc.exitcode # type: ignore
# except:
# TODO: in the case we were cancelled before the sub-proc
# registered itself back we must be sure to try and clean
# any process we may have started.
portal = Portal(chan)
actor_nursery._children[subactor.aid.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.
with trio.CancelScope(shield=True):
await actor_nursery._join_procs.wait()
async with trio.open_nursery() as nursery:
if portal in actor_nursery._cancel_after_result_on_exit:
nursery.start_soon(
cancel_on_completion,
portal,
subactor,
errors
)
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition.
await soft_kill(
proc,
proc_waiter,
portal
)
# cancel result waiter that may have been spawned in
# tandem if not done already
log.warning(
"Cancelling existing result waiter task for "
f"{subactor.aid.uid}")
nursery.cancel_scope.cancel()
finally:
# hard reap sequence
if proc.is_alive():
log.cancel(f"Attempting to hard kill {proc}")
with trio.move_on_after(0.1) as cs:
cs.shield = True
await proc_waiter(proc)
if cs.cancelled_caught:
proc.terminate()
proc.join()
log.debug(f"Joined {proc}")
# pop child entry to indicate we are no longer managing subactor
actor_nursery._children.pop(subactor.aid.uid)
# TODO: prolly report to ``mypy`` how this causes all sorts of
# false errors..
# subactor, proc, portal = actor_nursery._children.pop(subactor.uid)
# 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.
from ._trio import trio_proc
from ._mp import mp_proc
# proc spawning backend target map

View File

@ -0,0 +1,294 @@
# tractor: structured concurrent "actors".
# Copyright 2018-eternity Tyler Goodlet.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
The `trio`-subprocess backend; the default for cross-platform.
Spawns sub-actors as fresh OS processes driven by
`trio.lowlevel.open_process()`.
'''
from __future__ import annotations
import sys
from typing import (
Any,
TYPE_CHECKING,
)
import trio
from trio import TaskStatus
from ..devx import (
debug,
pformat as _pformat,
)
from tractor.runtime._state import (
current_actor,
is_root_process,
debug_mode,
get_runtime_vars,
)
from tractor.log import get_logger
from tractor.discovery._addr import UnwrappedAddress
from tractor.runtime._portal import Portal
from tractor.runtime._runtime import Actor
from tractor.msg import (
types as msgtypes,
pretty_struct,
)
from ._spawn import (
cancel_on_completion,
hard_kill,
soft_kill,
)
if TYPE_CHECKING:
from tractor.ipc import (
_server,
)
from tractor.runtime._supervise import ActorNursery
log = get_logger('tractor')
async def trio_proc(
name: str,
actor_nursery: ActorNursery,
subactor: Actor,
errors: dict[tuple[str, str], Exception],
# passed through to actor main
bind_addrs: list[UnwrappedAddress],
parent_addr: UnwrappedAddress,
_runtime_vars: dict[str, Any], # serialized and sent to _child
*,
infect_asyncio: bool = False,
task_status: TaskStatus[Portal] = trio.TASK_STATUS_IGNORED,
proc_kwargs: dict[str, any] = {}
) -> None:
'''
Create a new ``Process`` using a "spawn method" as (configured using
``try_set_start_method()``).
This routine should be started in a actor runtime task and the logic
here is to be considered the core supervision strategy.
'''
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",
# TODO, how to pass this over "wire" encodings like
# cmdline args?
# -[ ] maybe we can add an `msgtypes.Aid.min_tuple()` ?
str(subactor.aid.uid),
# Address the child must connect to on startup
"--parent_addr",
str(parent_addr)
]
if subactor.loglevel:
spawn_cmd += [
"--loglevel",
subactor.loglevel
]
# Tell child to run in guest mode on top of ``asyncio`` loop
if infect_asyncio:
spawn_cmd.append("--asyncio")
cancelled_during_spawn: bool = False
proc: trio.Process|None = None
ipc_server: _server.Server = actor_nursery._actor.ipc_server
try:
try:
proc: trio.Process = await trio.lowlevel.open_process(spawn_cmd, **proc_kwargs)
log.runtime(
f'Started new child subproc\n'
f'(>\n'
f' |_{proc}\n'
)
# 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 ipc_server.wait_for_peer(
subactor.aid.uid
)
except trio.Cancelled:
cancelled_during_spawn = True
# we may cancel before the child connects back in which
# case avoid clobbering the pdb tty.
if debug_mode():
with trio.CancelScope(shield=True):
# don't clobber an ongoing pdb
if is_root_process():
await debug.maybe_wait_for_debugger()
elif proc is not None:
async with debug.acquire_debug_lock(
subactor_uid=subactor.aid.uid
):
# soft wait on the proc to terminate
with trio.move_on_after(0.5):
await proc.wait()
raise
# a sub-proc ref **must** exist now
assert proc
portal = Portal(chan)
actor_nursery._children[subactor.aid.uid] = (
subactor,
proc,
portal,
)
# send a "spawning specification" which configures the
# initial runtime state of the child.
sspec = msgtypes.SpawnSpec(
_parent_main_data=subactor._parent_main_data,
enable_modules=subactor.enable_modules,
reg_addrs=subactor.reg_addrs,
bind_addrs=bind_addrs,
_runtime_vars=_runtime_vars,
)
log.runtime(
f'Sending spawn spec to child\n'
f'{{}}=> {chan.aid.reprol()!r}\n'
f'\n'
f'{pretty_struct.pformat(sspec)}\n'
)
await chan.send(sspec)
# track subactor in current nursery
curr_actor: Actor = current_actor()
curr_actor._actoruid2nursery[subactor.aid.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()
async with trio.open_nursery() as nursery:
if portal in actor_nursery._cancel_after_result_on_exit:
nursery.start_soon(
cancel_on_completion,
portal,
subactor,
errors
)
# This is a "soft" (cancellable) join/reap which
# will remote cancel the actor on a ``trio.Cancelled``
# condition.
await soft_kill(
proc,
trio.Process.wait, # XXX, uses `pidfd_open()` below.
portal
)
# cancel result waiter that may have been spawned in
# tandem if not done already
log.cancel(
'Cancelling portal result reaper task\n'
f'c)> {subactor.aid.reprol()!r}\n'
)
nursery.cancel_scope.cancel()
finally:
# XXX NOTE XXX: The "hard" reap since no actor zombies are
# allowed! Do this **after** cancellation/teardown to avoid
# killing the process too early.
if proc:
reap_repr: str = _pformat.nest_from_op(
input_op='>x)',
text=subactor.pformat(),
)
log.cancel(
f'Hard reap sequence starting for subactor\n'
f'{reap_repr}'
)
with trio.CancelScope(shield=True):
# don't clobber an ongoing pdb
if cancelled_during_spawn:
# Try again to avoid TTY clobbering.
async with debug.acquire_debug_lock(
subactor_uid=subactor.aid.uid
):
with trio.move_on_after(0.5):
await proc.wait()
await debug.maybe_wait_for_debugger(
# NOTE: use the child's `_runtime_vars`
# (the fn-arg dict shipped via `SpawnSpec`)
# — NOT `get_runtime_vars()` which returns
# the *parent's* live runtime state.
child_in_debug=_runtime_vars.get(
'_debug_mode', False
),
header_msg=(
'Delaying subproc reaper while debugger locked..\n'
),
# TODO: need a diff value then default?
# poll_steps=9999999,
)
# TODO: solve the following issue where we need
# to do a similar wait like this but in an
# "intermediary" parent actor that itself isn't
# in debug but has a child that is, and we need
# to hold off on relaying SIGINT until that child
# is complete.
# https://github.com/goodboy/tractor/issues/320
# -[ ] we need to handle non-root parent-actors specially
# by somehow determining if a child is in debug and then
# avoiding cancel/kill of said child by this
# (intermediary) parent until such a time as the root says
# the pdb lock is released and we are good to tear down
# (our children)..
#
# -[ ] so maybe something like this where we try to
# acquire the lock and get notified of who has it,
# check that uid against our known children?
# this_uid: tuple[str, str] = current_actor().uid
# await debug.acquire_debug_lock(this_uid)
if proc.poll() is None:
log.cancel(f"Attempting to hard kill {proc}")
await hard_kill(proc)
log.debug(f"Joined {proc}")
else:
log.warning('Nursery cancelled before sub-proc started')
if not cancelled_during_spawn:
# pop child entry to indicate we no longer managing this
# subactor
actor_nursery._children.pop(subactor.aid.uid)

36
uv.lock
View File

@ -277,24 +277,26 @@ wheels = [
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@ -678,7 +680,7 @@ requires-dist = [
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