Move move context code into new `._context` mod

proper_breakpoint_hooking
Tyler Goodlet 2023-04-14 16:23:47 -04:00
parent 97446b84c0
commit c7b56ae639
6 changed files with 789 additions and 738 deletions

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@ -15,18 +15,20 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
tractor: structured concurrent "actors".
tractor: structured concurrent ``trio``-"actors".
"""
from exceptiongroup import BaseExceptionGroup
from ._clustering import open_actor_cluster
from ._ipc import Channel
from ._streaming import (
from ._context import (
Context,
context,
)
from ._streaming import (
MsgStream,
stream,
context,
)
from ._discovery import (
get_arbiter,

767
tractor/_context.py 100644
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@ -0,0 +1,767 @@
# 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 fundamental cross process SC abstraction: an inter-actor,
cancel-scope linked task "context".
A ``Context`` is very similar to the ``trio.Nursery.cancel_scope`` built
into each ``trio.Nursery`` except it links the lifetimes of memory space
disjoint, parallel executing tasks in separate actors.
'''
from __future__ import annotations
from collections import deque
from contextlib import asynccontextmanager as acm
from dataclasses import (
dataclass,
field,
)
from functools import partial
import inspect
from pprint import pformat
from typing import (
Any,
Callable,
AsyncGenerator,
TYPE_CHECKING,
)
import warnings
import trio
from ._exceptions import (
unpack_error,
pack_error,
ContextCancelled,
StreamOverrun,
)
from .log import get_logger
from ._ipc import Channel
from ._streaming import MsgStream
from ._state import current_actor
if TYPE_CHECKING:
from ._portal import Portal
log = get_logger(__name__)
@dataclass
class Context:
'''
An inter-actor, ``trio`` task communication context.
NB: This class should never be instatiated directly, it is delivered
by either,
- runtime machinery to a remotely started task or,
- by entering ``Portal.open_context()``.
Allows maintaining task or protocol specific state between
2 communicating actor tasks. A unique context is created on the
callee side/end for every request to a remote actor from a portal.
A context can be cancelled and (possibly eventually restarted) from
either side of the underlying IPC channel, open task oriented
message streams and acts as an IPC aware inter-actor-task cancel
scope.
'''
chan: Channel
cid: str
# these are the "feeder" channels for delivering
# message values to the local task from the runtime
# msg processing loop.
_recv_chan: trio.MemoryReceiveChannel
_send_chan: trio.MemorySendChannel
_remote_func_type: str | None = None
# only set on the caller side
_portal: Portal | None = None # type: ignore # noqa
_result: Any | int = None
_remote_error: BaseException | None = None
# cancellation state
_cancel_called: bool = False
_cancel_called_remote: tuple | None = None
_cancel_msg: str | None = None
_scope: trio.CancelScope | None = None
_enter_debugger_on_cancel: bool = True
@property
def cancel_called(self) -> bool:
'''
Records whether cancellation has been requested for this context
by either an explicit call to ``.cancel()`` or an implicit call
due to an error caught inside the ``Portal.open_context()``
block.
'''
return self._cancel_called
@property
def cancel_called_remote(self) -> tuple[str, str] | None:
'''
``Actor.uid`` of the remote actor who's task was cancelled
causing this side of the context to also be cancelled.
'''
remote_uid = self._cancel_called_remote
if remote_uid:
return tuple(remote_uid)
@property
def cancelled_caught(self) -> bool:
return self._scope.cancelled_caught
# init and streaming state
_started_called: bool = False
_started_received: bool = False
_stream_opened: bool = False
# overrun handling machinery
# NOTE: none of this provides "backpressure" to the remote
# task, only an ability to not lose messages when the local
# task is configured to NOT transmit ``StreamOverrun``s back
# to the other side.
_overflow_q: deque[dict] = field(
default_factory=partial(
deque,
maxlen=616,
)
)
_scope_nursery: trio.Nursery | None = None
_in_overrun: bool = False
_allow_overruns: bool = False
async def send_yield(
self,
data: Any,
) -> None:
warnings.warn(
"`Context.send_yield()` is now deprecated. "
"Use ``MessageStream.send()``. ",
DeprecationWarning,
stacklevel=2,
)
await self.chan.send({'yield': data, 'cid': self.cid})
async def send_stop(self) -> None:
await self.chan.send({'stop': True, 'cid': self.cid})
async def _maybe_cancel_and_set_remote_error(
self,
error_msg: dict[str, Any],
) -> None:
'''
(Maybe) unpack and raise a msg error into the local scope
nursery for this context.
Acts as a form of "relay" for a remote error raised
in the corresponding remote callee task.
'''
# If this is an error message from a context opened by
# ``Portal.open_context()`` we want to interrupt any ongoing
# (child) tasks within that context to be notified of the remote
# error relayed here.
#
# The reason we may want to raise the remote error immediately
# is that there is no guarantee the associated local task(s)
# will attempt to read from any locally opened stream any time
# soon.
#
# NOTE: this only applies when
# ``Portal.open_context()`` has been called since it is assumed
# (currently) that other portal APIs (``Portal.run()``,
# ``.run_in_actor()``) do their own error checking at the point
# of the call and result processing.
error = unpack_error(
error_msg,
self.chan,
)
# XXX: set the remote side's error so that after we cancel
# whatever task is the opener of this context it can raise
# that error as the reason.
self._remote_error = error
if (
isinstance(error, ContextCancelled)
):
log.cancel(
'Remote task-context sucessfully cancelled for '
f'{self.chan.uid}:{self.cid}'
)
if self._cancel_called:
# this is an expected cancel request response message
# and we don't need to raise it in scope since it will
# potentially override a real error
return
else:
log.error(
f'Remote context error for {self.chan.uid}:{self.cid}:\n'
f'{error_msg["error"]["tb_str"]}'
)
# TODO: tempted to **not** do this by-reraising in a
# nursery and instead cancel a surrounding scope, detect
# the cancellation, then lookup the error that was set?
# YES! this is way better and simpler!
if (
self._scope
):
# from trio.testing import wait_all_tasks_blocked
# await wait_all_tasks_blocked()
self._cancel_called_remote = self.chan.uid
self._scope.cancel()
# NOTE: this usage actually works here B)
# from ._debug import breakpoint
# await breakpoint()
# XXX: this will break early callee results sending
# since when `.result()` is finally called, this
# chan will be closed..
# if self._recv_chan:
# await self._recv_chan.aclose()
async def cancel(
self,
msg: str | None = None,
timeout: float = 0.5,
# timeout: float = 1000,
) -> None:
'''
Cancel this inter-actor-task context.
Request that the far side cancel it's current linked context,
Timeout quickly in an attempt to sidestep 2-generals...
'''
side = 'caller' if self._portal else 'callee'
if msg:
assert side == 'callee', 'Only callee side can provide cancel msg'
log.cancel(f'Cancelling {side} side of context to {self.chan.uid}')
self._cancel_called = True
# await _debug.breakpoint()
# breakpoint()
if side == 'caller':
if not self._portal:
raise RuntimeError(
"No portal found, this is likely a callee side context"
)
cid = self.cid
with trio.move_on_after(timeout) as cs:
# cs.shield = True
log.cancel(
f"Cancelling stream {cid} to "
f"{self._portal.channel.uid}")
# NOTE: we're telling the far end actor to cancel a task
# corresponding to *this actor*. The far end local channel
# instance is passed to `Actor._cancel_task()` implicitly.
await self._portal.run_from_ns(
'self',
'_cancel_task',
cid=cid,
)
# print("EXITING CANCEL CALL")
if cs.cancelled_caught:
# XXX: there's no way to know if the remote task was indeed
# cancelled in the case where the connection is broken or
# some other network error occurred.
# if not self._portal.channel.connected():
if not self.chan.connected():
log.cancel(
"May have failed to cancel remote task "
f"{cid} for {self._portal.channel.uid}")
else:
log.cancel(
"Timed out on cancelling remote task "
f"{cid} for {self._portal.channel.uid}")
# callee side remote task
else:
self._cancel_msg = msg
# TODO: should we have an explicit cancel message
# or is relaying the local `trio.Cancelled` as an
# {'error': trio.Cancelled, cid: "blah"} enough?
# This probably gets into the discussion in
# https://github.com/goodboy/tractor/issues/36
assert self._scope
self._scope.cancel()
@acm
async def open_stream(
self,
allow_overruns: bool | None = False,
msg_buffer_size: int | None = None,
) -> AsyncGenerator[MsgStream, None]:
'''
Open a ``MsgStream``, a bi-directional stream connected to the
cross-actor (far end) task for this ``Context``.
This context manager must be entered on both the caller and
callee for the stream to logically be considered "connected".
A ``MsgStream`` is currently "one-shot" use, meaning if you
close it you can not "re-open" it for streaming and instead you
must re-establish a new surrounding ``Context`` using
``Portal.open_context()``. In the future this may change but
currently there seems to be no obvious reason to support
"re-opening":
- pausing a stream can be done with a message.
- task errors will normally require a restart of the entire
scope of the inter-actor task context due to the nature of
``trio``'s cancellation system.
'''
actor = current_actor()
# here we create a mem chan that corresponds to the
# far end caller / callee.
# Likewise if the surrounding context has been cancelled we error here
# since it likely means the surrounding block was exited or
# killed
if self._cancel_called:
task = trio.lowlevel.current_task().name
raise ContextCancelled(
f'Context around {actor.uid[0]}:{task} was already cancelled!'
)
if not self._portal and not self._started_called:
raise RuntimeError(
'Context.started()` must be called before opening a stream'
)
# NOTE: in one way streaming this only happens on the
# caller side inside `Actor.start_remote_task()` so if you try
# to send a stop from the caller to the callee in the
# single-direction-stream case you'll get a lookup error
# currently.
ctx = actor.get_context(
self.chan,
self.cid,
msg_buffer_size=msg_buffer_size,
allow_overruns=allow_overruns,
)
ctx._allow_overruns = allow_overruns
assert ctx is self
# XXX: If the underlying channel feeder receive mem chan has
# been closed then likely client code has already exited
# a ``.open_stream()`` block prior or there was some other
# unanticipated error or cancellation from ``trio``.
if ctx._recv_chan._closed:
raise trio.ClosedResourceError(
'The underlying channel for this stream was already closed!?')
async with MsgStream(
ctx=self,
rx_chan=ctx._recv_chan,
) as stream:
if self._portal:
self._portal._streams.add(stream)
try:
self._stream_opened = True
# XXX: do we need this?
# ensure we aren't cancelled before yielding the stream
# await trio.lowlevel.checkpoint()
yield stream
# NOTE: Make the stream "one-shot use". On exit, signal
# ``trio.EndOfChannel``/``StopAsyncIteration`` to the
# far end.
await stream.aclose()
finally:
if self._portal:
try:
self._portal._streams.remove(stream)
except KeyError:
log.warning(
f'Stream was already destroyed?\n'
f'actor: {self.chan.uid}\n'
f'ctx id: {self.cid}'
)
def _maybe_raise_remote_err(
self,
err: Exception,
) -> None:
# NOTE: whenever the context's "opener" side (task) **is**
# the side which requested the cancellation (likekly via
# ``Context.cancel()``), we don't want to re-raise that
# cancellation signal locally (would be akin to
# a ``trio.Nursery`` nursery raising ``trio.Cancelled``
# whenever ``CancelScope.cancel()`` was called) and instead
# silently reap the expected cancellation "error"-msg.
# if 'pikerd' in err.msgdata['tb_str']:
# # from . import _debug
# # await _debug.breakpoint()
# breakpoint()
if (
isinstance(err, ContextCancelled)
and (
self._cancel_called
or self.chan._cancel_called
or tuple(err.canceller) == current_actor().uid
)
):
return err
raise err # from None
async def result(self) -> Any | Exception:
'''
From some (caller) side task, wait for and return the final
result from the remote (callee) side's task.
This provides a mechanism for one task running in some actor to wait
on another task at the other side, in some other actor, to terminate.
If the remote task is still in a streaming state (it is delivering
values from inside a ``Context.open_stream():`` block, then those
msgs are drained but discarded since it is presumed this side of
the context has already finished with its own streaming logic.
If the remote context (or its containing actor runtime) was
canceled, either by a local task calling one of
``Context.cancel()`` or `Portal.cancel_actor()``, we ignore the
received ``ContextCancelled`` exception if the context or
underlying IPC channel is marked as having been "cancel called".
This is similar behavior to using ``trio.Nursery.cancel()``
wherein tasks which raise ``trio.Cancel`` are silently reaped;
the main different in this API is in the "cancel called" case,
instead of just not raising, we also return the exception *as
the result* since client code may be interested in the details
of the remote cancellation.
'''
assert self._portal, "Context.result() can not be called from callee!"
assert self._recv_chan
# from . import _debug
# await _debug.breakpoint()
re = self._remote_error
if re:
self._maybe_raise_remote_err(re)
return re
if (
self._result == id(self)
and not self._remote_error
and not self._recv_chan._closed # type: ignore
):
# wait for a final context result consuming
# and discarding any bi dir stream msgs still
# in transit from the far end.
while True:
msg = await self._recv_chan.receive()
try:
self._result = msg['return']
# NOTE: we don't need to do this right?
# XXX: only close the rx mem chan AFTER
# a final result is retreived.
# if self._recv_chan:
# await self._recv_chan.aclose()
break
except KeyError: # as msgerr:
if 'yield' in msg:
# far end task is still streaming to us so discard
log.warning(f'Discarding stream delivered {msg}')
continue
elif 'stop' in msg:
log.debug('Remote stream terminated')
continue
# internal error should never get here
assert msg.get('cid'), (
"Received internal error at portal?")
err = unpack_error(
msg,
self._portal.channel
) # from msgerr
err = self._maybe_raise_remote_err(err)
self._remote_err = err
return self._remote_error or self._result
async def started(
self,
value: Any | None = None
) -> None:
'''
Indicate to calling actor's task that this linked context
has started and send ``value`` to the other side.
On the calling side ``value`` is the second item delivered
in the tuple returned by ``Portal.open_context()``.
'''
if self._portal:
raise RuntimeError(
f"Caller side context {self} can not call started!")
elif self._started_called:
raise RuntimeError(
f"called 'started' twice on context with {self.chan.uid}")
await self.chan.send({'started': value, 'cid': self.cid})
self._started_called = True
# TODO: do we need a restart api?
# async def restart(self) -> None:
# pass
async def _drain_overflows(
self,
) -> None:
'''
Private task spawned to push newly received msgs to the local
task which getting overrun by the remote side.
In order to not block the rpc msg loop, but also not discard
msgs received in this context, we need to async push msgs in
a new task which only runs for as long as the local task is in
an overrun state.
'''
self._in_overrun = True
try:
while self._overflow_q:
# NOTE: these msgs should never be errors since we always do
# the check prior to checking if we're in an overrun state
# inside ``.deliver_msg()``.
msg = self._overflow_q.popleft()
try:
await self._send_chan.send(msg)
except trio.BrokenResourceError:
log.warning(
f"{self._send_chan} consumer is already closed"
)
return
except trio.Cancelled:
# we are obviously still in overrun
# but the context is being closed anyway
# so we just warn that there are un received
# msgs still..
self._overflow_q.appendleft(msg)
fmt_msgs = ''
for msg in self._overflow_q:
fmt_msgs += f'{pformat(msg)}\n'
log.warning(
f'Context for {self.cid} is being closed while '
'in an overrun state!\n'
'Discarding the following msgs:\n'
f'{fmt_msgs}\n'
)
raise
finally:
# task is now finished with the backlog so mark us as
# no longer in backlog.
self._in_overrun = False
async def _deliver_msg(
self,
msg: dict,
draining: bool = False,
) -> bool:
cid = self.cid
chan = self.chan
uid = chan.uid
send_chan: trio.MemorySendChannel = self._send_chan
log.runtime(
f"Delivering {msg} from {uid} to caller {cid}"
)
error = msg.get('error')
if error:
await self._maybe_cancel_and_set_remote_error(msg)
if (
self._in_overrun
):
self._overflow_q.append(msg)
return False
try:
send_chan.send_nowait(msg)
return True
# if an error is deteced we should always
# expect it to be raised by any context (stream)
# consumer task
except trio.BrokenResourceError:
# TODO: what is the right way to handle the case where the
# local task has already sent a 'stop' / StopAsyncInteration
# to the other side but and possibly has closed the local
# feeder mem chan? Do we wait for some kind of ack or just
# let this fail silently and bubble up (currently)?
# XXX: local consumer has closed their side
# so cancel the far end streaming task
log.warning(f"{send_chan} consumer is already closed")
return False
# NOTE XXX: by default we do **not** maintain context-stream
# backpressure and instead opt to relay stream overrun errors to
# the sender; the main motivation is that using bp can block the
# msg handling loop which calls into this method!
except trio.WouldBlock:
# XXX: always push an error even if the local
# receiver is in overrun state.
# await self._maybe_cancel_and_set_remote_error(msg)
local_uid = current_actor().uid
lines = [
f'OVERRUN on actor-task context {cid}@{local_uid}!\n'
# TODO: put remote task name here if possible?
f'remote sender actor: {uid}',
# TODO: put task func name here and maybe an arrow
# from sender to overrunner?
# f'local task {self.func_name}'
]
if not self._stream_opened:
lines.insert(
1,
f'\n*** No stream open on `{local_uid[0]}` side! ***\n'
)
text = '\n'.join(lines)
# XXX: lul, this really can't be backpressure since any
# blocking here will block the entire msg loop rpc sched for
# a whole channel.. maybe we should rename it?
if self._allow_overruns:
text += f'\nStarting overflow queuing task on msg: {msg}'
log.warning(text)
if (
not self._in_overrun
):
self._overflow_q.append(msg)
n = self._scope_nursery
assert not n.child_tasks
try:
n.start_soon(
self._drain_overflows,
)
except RuntimeError:
# if the nursery is already cancelled due to
# this context exiting or in error, we ignore
# the nursery error since we never expected
# anything different.
return False
else:
try:
raise StreamOverrun(text)
except StreamOverrun as err:
err_msg = pack_error(err)
err_msg['cid'] = cid
try:
await chan.send(err_msg)
except trio.BrokenResourceError:
# XXX: local consumer has closed their side
# so cancel the far end streaming task
log.warning(f"{chan} is already closed")
return False
def mk_context(
chan: Channel,
cid: str,
msg_buffer_size: int = 2**6,
**kwargs,
) -> Context:
'''
Internal factory to create an inter-actor task ``Context``.
This is called by internals and should generally never be called
by user code.
'''
send_chan: trio.MemorySendChannel
recv_chan: trio.MemoryReceiveChannel
send_chan, recv_chan = trio.open_memory_channel(msg_buffer_size)
ctx = Context(
chan,
cid,
_send_chan=send_chan,
_recv_chan=recv_chan,
**kwargs,
)
ctx._result = id(ctx)
return ctx
def context(func: Callable) -> Callable:
'''
Mark an async function as a streaming routine with ``@context``.
'''
# TODO: apply whatever solution ``mypy`` ends up picking for this:
# https://github.com/python/mypy/issues/2087#issuecomment-769266912
func._tractor_context_function = True # type: ignore
sig = inspect.signature(func)
params = sig.parameters
if 'ctx' not in params:
raise TypeError(
"The first argument to the context function "
f"{func.__name__} must be `ctx: tractor.Context`"
)
return func

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@ -45,10 +45,8 @@ from ._exceptions import (
NoResult,
ContextCancelled,
)
from ._streaming import (
Context,
MsgStream,
)
from ._context import Context
from ._streaming import MsgStream
log = get_logger(__name__)

View File

@ -46,7 +46,7 @@ import trio # type: ignore
from trio_typing import TaskStatus
from ._ipc import Channel
from ._streaming import (
from ._context import (
mk_context,
Context,
)

View File

@ -14,25 +14,18 @@
# 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/>.
"""
'''
Message stream types and APIs.
"""
The machinery and types behind ``Context.open_stream()``
'''
from __future__ import annotations
import inspect
from contextlib import asynccontextmanager
from collections import deque
from dataclasses import (
dataclass,
field,
)
from functools import partial
from pprint import pformat
from contextlib import asynccontextmanager as acm
from typing import (
Any,
Optional,
Callable,
AsyncGenerator,
AsyncIterator,
TYPE_CHECKING,
)
@ -40,22 +33,17 @@ import warnings
import trio
from ._ipc import Channel
from ._exceptions import (
unpack_error,
pack_error,
ContextCancelled,
StreamOverrun,
)
from .log import get_logger
from ._state import current_actor
from .trionics import (
broadcast_receiver,
BroadcastReceiver,
)
if TYPE_CHECKING:
from ._portal import Portal
from ._context import Context
log = get_logger(__name__)
@ -87,9 +75,9 @@ class MsgStream(trio.abc.Channel):
'''
def __init__(
self,
ctx: 'Context', # typing: ignore # noqa
ctx: Context, # typing: ignore # noqa
rx_chan: trio.MemoryReceiveChannel,
_broadcaster: Optional[BroadcastReceiver] = None,
_broadcaster: BroadcastReceiver | None = None,
) -> None:
self._ctx = ctx
@ -292,7 +280,7 @@ class MsgStream(trio.abc.Channel):
# still need to consume msgs that are "in transit" from the far
# end (eg. for ``Context.result()``).
@asynccontextmanager
@acm
async def subscribe(
self,
@ -361,693 +349,6 @@ class MsgStream(trio.abc.Channel):
await self._ctx.chan.send({'yield': data, 'cid': self._ctx.cid})
@dataclass
class Context:
'''
An inter-actor, ``trio`` task communication context.
NB: This class should never be instatiated directly, it is delivered
by either,
- runtime machinery to a remotely started task or,
- by entering ``Portal.open_context()``.
Allows maintaining task or protocol specific state between
2 communicating actor tasks. A unique context is created on the
callee side/end for every request to a remote actor from a portal.
A context can be cancelled and (possibly eventually restarted) from
either side of the underlying IPC channel, open task oriented
message streams and acts as an IPC aware inter-actor-task cancel
scope.
'''
chan: Channel
cid: str
# these are the "feeder" channels for delivering
# message values to the local task from the runtime
# msg processing loop.
_recv_chan: trio.MemoryReceiveChannel
_send_chan: trio.MemorySendChannel
_remote_func_type: str | None = None
# only set on the caller side
_portal: Portal | None = None # type: ignore # noqa
_result: Any | int = None
_remote_error: BaseException | None = None
# cancellation state
_cancel_called: bool = False
_cancel_called_remote: tuple | None = None
_cancel_msg: str | None = None
_scope: trio.CancelScope | None = None
_enter_debugger_on_cancel: bool = True
@property
def cancel_called(self) -> bool:
'''
Records whether cancellation has been requested for this context
by either an explicit call to ``.cancel()`` or an implicit call
due to an error caught inside the ``Portal.open_context()``
block.
'''
return self._cancel_called
@property
def cancel_called_remote(self) -> tuple[str, str] | None:
'''
``Actor.uid`` of the remote actor who's task was cancelled
causing this side of the context to also be cancelled.
'''
remote_uid = self._cancel_called_remote
if remote_uid:
return tuple(remote_uid)
@property
def cancelled_caught(self) -> bool:
return self._scope.cancelled_caught
# init and streaming state
_started_called: bool = False
_started_received: bool = False
_stream_opened: bool = False
# overrun handling machinery
# NOTE: none of this provides "backpressure" to the remote
# task, only an ability to not lose messages when the local
# task is configured to NOT transmit ``StreamOverrun``s back
# to the other side.
_overflow_q: deque[dict] = field(
default_factory=partial(
deque,
maxlen=616,
)
)
_scope_nursery: trio.Nursery | None = None
_in_overrun: bool = False
_allow_overruns: bool = False
async def send_yield(
self,
data: Any,
) -> None:
warnings.warn(
"`Context.send_yield()` is now deprecated. "
"Use ``MessageStream.send()``. ",
DeprecationWarning,
stacklevel=2,
)
await self.chan.send({'yield': data, 'cid': self.cid})
async def send_stop(self) -> None:
await self.chan.send({'stop': True, 'cid': self.cid})
async def _maybe_cancel_and_set_remote_error(
self,
error_msg: dict[str, Any],
) -> None:
'''
(Maybe) unpack and raise a msg error into the local scope
nursery for this context.
Acts as a form of "relay" for a remote error raised
in the corresponding remote callee task.
'''
# If this is an error message from a context opened by
# ``Portal.open_context()`` we want to interrupt any ongoing
# (child) tasks within that context to be notified of the remote
# error relayed here.
#
# The reason we may want to raise the remote error immediately
# is that there is no guarantee the associated local task(s)
# will attempt to read from any locally opened stream any time
# soon.
#
# NOTE: this only applies when
# ``Portal.open_context()`` has been called since it is assumed
# (currently) that other portal APIs (``Portal.run()``,
# ``.run_in_actor()``) do their own error checking at the point
# of the call and result processing.
error = unpack_error(
error_msg,
self.chan,
)
# XXX: set the remote side's error so that after we cancel
# whatever task is the opener of this context it can raise
# that error as the reason.
self._remote_error = error
if (
isinstance(error, ContextCancelled)
):
log.cancel(
'Remote task-context sucessfully cancelled for '
f'{self.chan.uid}:{self.cid}'
)
if self._cancel_called:
# this is an expected cancel request response message
# and we don't need to raise it in scope since it will
# potentially override a real error
return
else:
log.error(
f'Remote context error for {self.chan.uid}:{self.cid}:\n'
f'{error_msg["error"]["tb_str"]}'
)
# TODO: tempted to **not** do this by-reraising in a
# nursery and instead cancel a surrounding scope, detect
# the cancellation, then lookup the error that was set?
# YES! this is way better and simpler!
if (
self._scope
):
# from trio.testing import wait_all_tasks_blocked
# await wait_all_tasks_blocked()
self._cancel_called_remote = self.chan.uid
self._scope.cancel()
# NOTE: this usage actually works here B)
# from ._debug import breakpoint
# await breakpoint()
# XXX: this will break early callee results sending
# since when `.result()` is finally called, this
# chan will be closed..
# if self._recv_chan:
# await self._recv_chan.aclose()
async def cancel(
self,
msg: str | None = None,
timeout: float = 0.5,
# timeout: float = 1000,
) -> None:
'''
Cancel this inter-actor-task context.
Request that the far side cancel it's current linked context,
Timeout quickly in an attempt to sidestep 2-generals...
'''
side = 'caller' if self._portal else 'callee'
if msg:
assert side == 'callee', 'Only callee side can provide cancel msg'
log.cancel(f'Cancelling {side} side of context to {self.chan.uid}')
self._cancel_called = True
# await _debug.breakpoint()
# breakpoint()
if side == 'caller':
if not self._portal:
raise RuntimeError(
"No portal found, this is likely a callee side context"
)
cid = self.cid
with trio.move_on_after(timeout) as cs:
# cs.shield = True
log.cancel(
f"Cancelling stream {cid} to "
f"{self._portal.channel.uid}")
# NOTE: we're telling the far end actor to cancel a task
# corresponding to *this actor*. The far end local channel
# instance is passed to `Actor._cancel_task()` implicitly.
await self._portal.run_from_ns(
'self',
'_cancel_task',
cid=cid,
)
# print("EXITING CANCEL CALL")
if cs.cancelled_caught:
# XXX: there's no way to know if the remote task was indeed
# cancelled in the case where the connection is broken or
# some other network error occurred.
# if not self._portal.channel.connected():
if not self.chan.connected():
log.cancel(
"May have failed to cancel remote task "
f"{cid} for {self._portal.channel.uid}")
else:
log.cancel(
"Timed out on cancelling remote task "
f"{cid} for {self._portal.channel.uid}")
# callee side remote task
else:
self._cancel_msg = msg
# TODO: should we have an explicit cancel message
# or is relaying the local `trio.Cancelled` as an
# {'error': trio.Cancelled, cid: "blah"} enough?
# This probably gets into the discussion in
# https://github.com/goodboy/tractor/issues/36
assert self._scope
self._scope.cancel()
@asynccontextmanager
async def open_stream(
self,
allow_overruns: bool | None = False,
msg_buffer_size: int | None = None,
) -> AsyncGenerator[MsgStream, None]:
'''
Open a ``MsgStream``, a bi-directional stream connected to the
cross-actor (far end) task for this ``Context``.
This context manager must be entered on both the caller and
callee for the stream to logically be considered "connected".
A ``MsgStream`` is currently "one-shot" use, meaning if you
close it you can not "re-open" it for streaming and instead you
must re-establish a new surrounding ``Context`` using
``Portal.open_context()``. In the future this may change but
currently there seems to be no obvious reason to support
"re-opening":
- pausing a stream can be done with a message.
- task errors will normally require a restart of the entire
scope of the inter-actor task context due to the nature of
``trio``'s cancellation system.
'''
actor = current_actor()
# here we create a mem chan that corresponds to the
# far end caller / callee.
# Likewise if the surrounding context has been cancelled we error here
# since it likely means the surrounding block was exited or
# killed
if self._cancel_called:
task = trio.lowlevel.current_task().name
raise ContextCancelled(
f'Context around {actor.uid[0]}:{task} was already cancelled!'
)
if not self._portal and not self._started_called:
raise RuntimeError(
'Context.started()` must be called before opening a stream'
)
# NOTE: in one way streaming this only happens on the
# caller side inside `Actor.start_remote_task()` so if you try
# to send a stop from the caller to the callee in the
# single-direction-stream case you'll get a lookup error
# currently.
ctx = actor.get_context(
self.chan,
self.cid,
msg_buffer_size=msg_buffer_size,
allow_overruns=allow_overruns,
)
ctx._allow_overruns = allow_overruns
assert ctx is self
# XXX: If the underlying channel feeder receive mem chan has
# been closed then likely client code has already exited
# a ``.open_stream()`` block prior or there was some other
# unanticipated error or cancellation from ``trio``.
if ctx._recv_chan._closed:
raise trio.ClosedResourceError(
'The underlying channel for this stream was already closed!?')
async with MsgStream(
ctx=self,
rx_chan=ctx._recv_chan,
) as stream:
if self._portal:
self._portal._streams.add(stream)
try:
self._stream_opened = True
# XXX: do we need this?
# ensure we aren't cancelled before yielding the stream
# await trio.lowlevel.checkpoint()
yield stream
# NOTE: Make the stream "one-shot use". On exit, signal
# ``trio.EndOfChannel``/``StopAsyncIteration`` to the
# far end.
await stream.aclose()
finally:
if self._portal:
try:
self._portal._streams.remove(stream)
except KeyError:
log.warning(
f'Stream was already destroyed?\n'
f'actor: {self.chan.uid}\n'
f'ctx id: {self.cid}'
)
def _maybe_raise_remote_err(
self,
err: Exception,
) -> None:
# NOTE: whenever the context's "opener" side (task) **is**
# the side which requested the cancellation (likekly via
# ``Context.cancel()``), we don't want to re-raise that
# cancellation signal locally (would be akin to
# a ``trio.Nursery`` nursery raising ``trio.Cancelled``
# whenever ``CancelScope.cancel()`` was called) and instead
# silently reap the expected cancellation "error"-msg.
# if 'pikerd' in err.msgdata['tb_str']:
# # from . import _debug
# # await _debug.breakpoint()
# breakpoint()
if (
isinstance(err, ContextCancelled)
and (
self._cancel_called
or self.chan._cancel_called
or tuple(err.canceller) == current_actor().uid
)
):
return err
raise err # from None
async def result(self) -> Any | Exception:
'''
From some (caller) side task, wait for and return the final
result from the remote (callee) side's task.
This provides a mechanism for one task running in some actor to wait
on another task at the other side, in some other actor, to terminate.
If the remote task is still in a streaming state (it is delivering
values from inside a ``Context.open_stream():`` block, then those
msgs are drained but discarded since it is presumed this side of
the context has already finished with its own streaming logic.
If the remote context (or its containing actor runtime) was
canceled, either by a local task calling one of
``Context.cancel()`` or `Portal.cancel_actor()``, we ignore the
received ``ContextCancelled`` exception if the context or
underlying IPC channel is marked as having been "cancel called".
This is similar behavior to using ``trio.Nursery.cancel()``
wherein tasks which raise ``trio.Cancel`` are silently reaped;
the main different in this API is in the "cancel called" case,
instead of just not raising, we also return the exception *as
the result* since client code may be interested in the details
of the remote cancellation.
'''
assert self._portal, "Context.result() can not be called from callee!"
assert self._recv_chan
# from . import _debug
# await _debug.breakpoint()
re = self._remote_error
if re:
self._maybe_raise_remote_err(re)
return re
if (
self._result == id(self)
and not self._remote_error
and not self._recv_chan._closed # type: ignore
):
# wait for a final context result consuming
# and discarding any bi dir stream msgs still
# in transit from the far end.
while True:
msg = await self._recv_chan.receive()
try:
self._result = msg['return']
# NOTE: we don't need to do this right?
# XXX: only close the rx mem chan AFTER
# a final result is retreived.
# if self._recv_chan:
# await self._recv_chan.aclose()
break
except KeyError: # as msgerr:
if 'yield' in msg:
# far end task is still streaming to us so discard
log.warning(f'Discarding stream delivered {msg}')
continue
elif 'stop' in msg:
log.debug('Remote stream terminated')
continue
# internal error should never get here
assert msg.get('cid'), (
"Received internal error at portal?")
err = unpack_error(
msg,
self._portal.channel
) # from msgerr
err = self._maybe_raise_remote_err(err)
self._remote_err = err
return self._remote_error or self._result
async def started(
self,
value: Any | None = None
) -> None:
'''
Indicate to calling actor's task that this linked context
has started and send ``value`` to the other side.
On the calling side ``value`` is the second item delivered
in the tuple returned by ``Portal.open_context()``.
'''
if self._portal:
raise RuntimeError(
f"Caller side context {self} can not call started!")
elif self._started_called:
raise RuntimeError(
f"called 'started' twice on context with {self.chan.uid}")
await self.chan.send({'started': value, 'cid': self.cid})
self._started_called = True
# TODO: do we need a restart api?
# async def restart(self) -> None:
# pass
async def _drain_overflows(
self,
) -> None:
'''
Private task spawned to push newly received msgs to the local
task which getting overrun by the remote side.
In order to not block the rpc msg loop, but also not discard
msgs received in this context, we need to async push msgs in
a new task which only runs for as long as the local task is in
an overrun state.
'''
self._in_overrun = True
try:
while self._overflow_q:
# NOTE: these msgs should never be errors since we always do
# the check prior to checking if we're in an overrun state
# inside ``.deliver_msg()``.
msg = self._overflow_q.popleft()
try:
await self._send_chan.send(msg)
except trio.BrokenResourceError:
log.warning(
f"{self._send_chan} consumer is already closed"
)
return
except trio.Cancelled:
# we are obviously still in overrun
# but the context is being closed anyway
# so we just warn that there are un received
# msgs still..
self._overflow_q.appendleft(msg)
fmt_msgs = ''
for msg in self._overflow_q:
fmt_msgs += f'{pformat(msg)}\n'
log.warning(
f'Context for {self.cid} is being closed while '
'in an overrun state!\n'
'Discarding the following msgs:\n'
f'{fmt_msgs}\n'
)
raise
finally:
# task is now finished with the backlog so mark us as
# no longer in backlog.
self._in_overrun = False
async def _deliver_msg(
self,
msg: dict,
draining: bool = False,
) -> bool:
cid = self.cid
chan = self.chan
uid = chan.uid
send_chan: trio.MemorySendChannel = self._send_chan
log.runtime(
f"Delivering {msg} from {uid} to caller {cid}"
)
error = msg.get('error')
if error:
await self._maybe_cancel_and_set_remote_error(msg)
if (
self._in_overrun
):
self._overflow_q.append(msg)
return False
try:
send_chan.send_nowait(msg)
return True
# if an error is deteced we should always
# expect it to be raised by any context (stream)
# consumer task
except trio.BrokenResourceError:
# TODO: what is the right way to handle the case where the
# local task has already sent a 'stop' / StopAsyncInteration
# to the other side but and possibly has closed the local
# feeder mem chan? Do we wait for some kind of ack or just
# let this fail silently and bubble up (currently)?
# XXX: local consumer has closed their side
# so cancel the far end streaming task
log.warning(f"{send_chan} consumer is already closed")
return False
# NOTE XXX: by default we do **not** maintain context-stream
# backpressure and instead opt to relay stream overrun errors to
# the sender; the main motivation is that using bp can block the
# msg handling loop which calls into this method!
except trio.WouldBlock:
# XXX: always push an error even if the local
# receiver is in overrun state.
# await self._maybe_cancel_and_set_remote_error(msg)
local_uid = current_actor().uid
lines = [
f'OVERRUN on actor-task context {cid}@{local_uid}!\n'
# TODO: put remote task name here if possible?
f'remote sender actor: {uid}',
# TODO: put task func name here and maybe an arrow
# from sender to overrunner?
# f'local task {self.func_name}'
]
if not self._stream_opened:
lines.insert(
1,
f'\n*** No stream open on `{local_uid[0]}` side! ***\n'
)
text = '\n'.join(lines)
# XXX: lul, this really can't be backpressure since any
# blocking here will block the entire msg loop rpc sched for
# a whole channel.. maybe we should rename it?
if self._allow_overruns:
text += f'\nStarting overflow queuing task on msg: {msg}'
log.warning(text)
if (
not self._in_overrun
):
self._overflow_q.append(msg)
n = self._scope_nursery
assert not n.child_tasks
try:
n.start_soon(
self._drain_overflows,
)
except RuntimeError:
# if the nursery is already cancelled due to
# this context exiting or in error, we ignore
# the nursery error since we never expected
# anything different.
return False
else:
try:
raise StreamOverrun(text)
except StreamOverrun as err:
err_msg = pack_error(err)
err_msg['cid'] = cid
try:
await chan.send(err_msg)
except trio.BrokenResourceError:
# XXX: local consumer has closed their side
# so cancel the far end streaming task
log.warning(f"{chan} is already closed")
return False
def mk_context(
chan: Channel,
cid: str,
msg_buffer_size: int = 2**6,
**kwargs,
) -> Context:
'''
Internal factory to create an inter-actor task ``Context``.
This is called by internals and should generally never be called
by user code.
'''
send_chan: trio.MemorySendChannel
recv_chan: trio.MemoryReceiveChannel
send_chan, recv_chan = trio.open_memory_channel(msg_buffer_size)
ctx = Context(
chan,
cid,
_send_chan=send_chan,
_recv_chan=recv_chan,
**kwargs,
)
ctx._result = id(ctx)
return ctx
def stream(func: Callable) -> Callable:
'''
Mark an async function as a streaming routine with ``@stream``.
@ -1078,22 +379,3 @@ def stream(func: Callable) -> Callable:
"(Or ``to_trio`` if using ``asyncio`` in guest mode)."
)
return func
def context(func: Callable) -> Callable:
'''
Mark an async function as a streaming routine with ``@context``.
'''
# TODO: apply whatever solution ``mypy`` ends up picking for this:
# https://github.com/python/mypy/issues/2087#issuecomment-769266912
func._tractor_context_function = True # type: ignore
sig = inspect.signature(func)
params = sig.parameters
if 'ctx' not in params:
raise TypeError(
"The first argument to the context function "
f"{func.__name__} must be `ctx: tractor.Context`"
)
return func

View File

@ -37,7 +37,7 @@ import trio
import wrapt
from ..log import get_logger
from .._streaming import Context
from .._context import Context
__all__ = ['pub']
@ -148,7 +148,8 @@ def pub(
*,
tasks: set[str] = set(),
):
"""Publisher async generator decorator.
'''
Publisher async generator decorator.
A publisher can be called multiple times from different actors but
will only spawn a finite set of internal tasks to stream values to
@ -227,7 +228,8 @@ def pub(
running in a single actor to stream data to an arbitrary number of
subscribers. If you are ok to have a new task running for every call
to ``pub_service()`` then probably don't need this.
"""
'''
global _pubtask2lock
# handle the decorator not called with () case