464 lines
15 KiB
Python
464 lines
15 KiB
Python
"""
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Portal api
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"""
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import importlib
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import inspect
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from typing import (
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Tuple, Any, Dict, Optional, Set,
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Callable, AsyncGenerator
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)
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from functools import partial
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from dataclasses import dataclass
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import warnings
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import trio
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from async_generator import asynccontextmanager
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from ._state import current_actor
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from ._ipc import Channel
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from .log import get_logger
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from ._exceptions import unpack_error, NoResult, RemoteActorError
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from ._streaming import Context, ReceiveMsgStream
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log = get_logger(__name__)
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@asynccontextmanager
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async def maybe_open_nursery(
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nursery: trio.Nursery = None,
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shield: bool = False,
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) -> AsyncGenerator[trio.Nursery, Any]:
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"""Create a new nursery if None provided.
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Blocks on exit as expected if no input nursery is provided.
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"""
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if nursery is not None:
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yield nursery
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else:
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async with trio.open_nursery() as nursery:
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nursery.cancel_scope.shield = shield
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yield nursery
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def func_deats(func: Callable) -> Tuple[str, str]:
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return (
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func.__module__,
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func.__name__,
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)
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class Portal:
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"""A 'portal' to a(n) (remote) ``Actor``.
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A portal is "opened" (and eventually closed) by one side of an
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inter-actor communication context. The side which opens the portal
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is equivalent to a "caller" in function parlance and usually is
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either the called actor's parent (in process tree hierarchy terms)
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or a client interested in scheduling work to be done remotely in a
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far process.
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The portal api allows the "caller" actor to invoke remote routines
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and receive results through an underlying ``tractor.Channel`` as
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though the remote (async) function / generator was called locally.
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It may be thought of loosely as an RPC api where native Python
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function calling semantics are supported transparently; hence it is
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like having a "portal" between the seperate actor memory spaces.
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"""
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def __init__(self, channel: Channel) -> None:
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self.channel = channel
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# when this is set to a tuple returned from ``_submit()`` then
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# it is expected that ``result()`` will be awaited at some point
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# during the portal's lifetime
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self._result: Optional[Any] = None
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# set when _submit_for_result is called
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self._expect_result: Optional[
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Tuple[str, Any, str, Dict[str, Any]]
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] = None
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self._streams: Set[ReceiveMsgStream] = set()
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self.actor = current_actor()
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async def _submit(
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self,
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ns: str,
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func: str,
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kwargs,
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) -> Tuple[str, trio.abc.ReceiveChannel, str, Dict[str, Any]]:
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"""Submit a function to be scheduled and run by actor, return the
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associated caller id, response queue, response type str,
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first message packet as a tuple.
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This is an async call.
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"""
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# ship a function call request to the remote actor
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cid, recv_chan = await self.actor.send_cmd(
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self.channel, ns, func, kwargs)
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# wait on first response msg and handle (this should be
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# in an immediate response)
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first_msg = await recv_chan.receive()
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functype = first_msg.get('functype')
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if 'error' in first_msg:
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raise unpack_error(first_msg, self.channel)
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elif functype not in ('asyncfunc', 'asyncgen', 'context'):
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raise ValueError(f"{first_msg} is an invalid response packet?")
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return cid, recv_chan, functype, first_msg
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async def _submit_for_result(self, ns: str, func: str, **kwargs) -> None:
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assert self._expect_result is None, \
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"A pending main result has already been submitted"
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self._expect_result = await self._submit(ns, func, kwargs)
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async def _return_once(
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self,
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cid: str,
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recv_chan: trio.abc.ReceiveChannel,
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resptype: str,
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first_msg: dict
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) -> Any:
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assert resptype == 'asyncfunc' # single response
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msg = await recv_chan.receive()
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try:
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return msg['return']
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except KeyError:
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# internal error should never get here
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assert msg.get('cid'), "Received internal error at portal?"
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raise unpack_error(msg, self.channel)
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async def result(self) -> Any:
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"""Return the result(s) from the remote actor's "main" task.
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"""
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# Check for non-rpc errors slapped on the
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# channel for which we always raise
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exc = self.channel._exc
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if exc:
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raise exc
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# not expecting a "main" result
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if self._expect_result is None:
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log.warning(
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f"Portal for {self.channel.uid} not expecting a final"
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" result?\nresult() should only be called if subactor"
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" was spawned with `ActorNursery.run_in_actor()`")
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return NoResult
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# expecting a "main" result
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assert self._expect_result
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if self._result is None:
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try:
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self._result = await self._return_once(*self._expect_result)
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except RemoteActorError as err:
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self._result = err
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# re-raise error on every call
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if isinstance(self._result, RemoteActorError):
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raise self._result
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return self._result
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async def _cancel_streams(self):
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# terminate all locally running async generator
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# IPC calls
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if self._streams:
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log.warning(
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f"Cancelling all streams with {self.channel.uid}")
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for stream in self._streams.copy():
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try:
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await stream.aclose()
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except trio.ClosedResourceError:
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# don't error the stream having already been closed
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# (unless of course at some point down the road we
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# won't expect this to always be the case or need to
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# detect it for respawning purposes?)
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log.debug(f"{stream} was already closed.")
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async def aclose(self):
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log.debug(f"Closing {self}")
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# TODO: once we move to implementing our own `ReceiveChannel`
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# (including remote task cancellation inside its `.aclose()`)
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# we'll need to .aclose all those channels here
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await self._cancel_streams()
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async def cancel_actor(self):
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"""Cancel the actor on the other end of this portal.
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"""
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if not self.channel.connected():
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log.warning("This portal is already closed can't cancel")
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return False
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await self._cancel_streams()
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log.warning(
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f"Sending actor cancel request to {self.channel.uid} on "
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f"{self.channel}")
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try:
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# send cancel cmd - might not get response
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# XXX: sure would be nice to make this work with a proper shield
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# with trio.CancelScope() as cancel_scope:
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# with trio.CancelScope(shield=True) as cancel_scope:
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with trio.move_on_after(0.5) as cancel_scope:
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cancel_scope.shield = True
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await self.run_from_ns('self', 'cancel')
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return True
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if cancel_scope.cancelled_caught:
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log.warning(f"May have failed to cancel {self.channel.uid}")
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# if we get here some weird cancellation case happened
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return False
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except trio.ClosedResourceError:
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log.warning(
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f"{self.channel} for {self.channel.uid} was already closed?")
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return False
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async def run_from_ns(
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self,
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namespace_path: str,
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function_name: str,
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**kwargs,
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) -> Any:
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"""Run a function from a (remote) namespace in a new task on the far-end actor.
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This is a more explitcit way to run tasks in a remote-process
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actor using explicit object-path syntax. Hint: this is how
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`.run()` works underneath.
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Note::
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A special namespace `self` can be used to invoke `Actor`
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instance methods in the remote runtime. Currently this should only
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be used for `tractor` internals.
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"""
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return await self._return_once(
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*(await self._submit(namespace_path, function_name, kwargs))
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)
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async def run(
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self,
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func: str,
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fn_name: Optional[str] = None,
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**kwargs
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) -> Any:
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"""Submit a remote function to be scheduled and run by actor, in
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a new task, wrap and return its (stream of) result(s).
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This is a blocking call and returns either a value from the
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remote rpc task or a local async generator instance.
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"""
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if isinstance(func, str):
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warnings.warn(
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"`Portal.run(namespace: str, funcname: str)` is now"
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"deprecated, pass a function reference directly instead\n"
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"If you still want to run a remote function by name use"
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"`Portal.run_from_ns()`",
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DeprecationWarning,
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stacklevel=2,
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)
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fn_mod_path = func
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assert isinstance(fn_name, str)
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else: # function reference was passed directly
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if (
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not inspect.iscoroutinefunction(func) or
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(
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inspect.iscoroutinefunction(func) and
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getattr(func, '_tractor_stream_function', False)
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)
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):
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raise TypeError(
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f'{func} must be a non-streaming async function!')
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fn_mod_path, fn_name = func_deats(func)
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return await self._return_once(
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*(await self._submit(fn_mod_path, fn_name, kwargs))
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)
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@asynccontextmanager
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async def open_stream_from(
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self,
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async_gen_func: Callable, # typing: ignore
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**kwargs,
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) -> AsyncGenerator[ReceiveMsgStream, None]:
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if not inspect.isasyncgenfunction(async_gen_func):
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if not (
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inspect.iscoroutinefunction(async_gen_func) and
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getattr(async_gen_func, '_tractor_stream_function', False)
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):
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raise TypeError(
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f'{async_gen_func} must be an async generator function!')
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fn_mod_path, fn_name = func_deats(async_gen_func)
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(
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cid,
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recv_chan,
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functype,
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first_msg
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) = await self._submit(fn_mod_path, fn_name, kwargs)
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# receive only stream
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assert functype == 'asyncgen'
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ctx = Context(self.channel, cid, _portal=self)
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try:
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# deliver receive only stream
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async with ReceiveMsgStream(ctx, recv_chan) as rchan:
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self._streams.add(rchan)
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yield rchan
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finally:
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# cancel the far end task on consumer close
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# NOTE: this is a special case since we assume that if using
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# this ``.open_fream_from()`` api, the stream is one a one
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# time use and we couple the far end tasks's lifetime to
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# the consumer's scope; we don't ever send a `'stop'`
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# message right now since there shouldn't be a reason to
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# stop and restart the stream, right?
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try:
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await ctx.cancel()
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except trio.ClosedResourceError:
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# if the far end terminates before we send a cancel the
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# underlying transport-channel may already be closed.
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log.debug(f'Context {ctx} was already closed?')
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self._streams.remove(rchan)
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@asynccontextmanager
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async def open_context(
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self,
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func: Callable,
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**kwargs,
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) -> AsyncGenerator[Tuple[Context, Any], None]:
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"""Open an inter-actor task context.
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This is a synchronous API which allows for deterministic
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setup/teardown of a remote task. The yielded ``Context`` further
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allows for opening bidirectional streams - see
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``Context.open_stream()``.
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"""
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# conduct target func method structural checks
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if not inspect.iscoroutinefunction(func) and (
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getattr(func, '_tractor_contex_function', False)
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):
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raise TypeError(
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f'{func} must be an async generator function!')
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fn_mod_path, fn_name = func_deats(func)
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try:
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cid, recv_chan, functype, first_msg = await self._submit(
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fn_mod_path, fn_name, kwargs)
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assert functype == 'context'
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msg = await recv_chan.receive()
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try:
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# the "first" value here is delivered by the callee's
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# ``Context.started()`` call.
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first = msg['started']
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except KeyError:
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assert msg.get('cid'), ("Received internal error at context?")
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if msg.get('error'):
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# raise the error message
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raise unpack_error(msg, self.channel)
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else:
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raise
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# deliver context instance and .started() msg value in open
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# tuple.
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ctx = Context(self.channel, cid, _portal=self)
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try:
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yield ctx, first
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finally:
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await ctx.cancel()
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finally:
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await recv_chan.aclose()
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@dataclass
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class LocalPortal:
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"""A 'portal' to a local ``Actor``.
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A compatibility shim for normal portals but for invoking functions
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using an in process actor instance.
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"""
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actor: 'Actor' # type: ignore # noqa
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channel: Channel
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async def run_from_ns(self, ns: str, func_name: str, **kwargs) -> Any:
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"""Run a requested local function from a namespace path and
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return it's result.
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"""
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obj = self.actor if ns == 'self' else importlib.import_module(ns)
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func = getattr(obj, func_name)
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return await func(**kwargs)
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@asynccontextmanager
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async def open_portal(
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channel: Channel,
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nursery: Optional[trio.Nursery] = None,
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start_msg_loop: bool = True,
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shield: bool = False,
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) -> AsyncGenerator[Portal, None]:
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"""Open a ``Portal`` through the provided ``channel``.
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Spawns a background task to handle message processing.
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"""
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actor = current_actor()
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assert actor
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was_connected = False
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async with maybe_open_nursery(nursery, shield=shield) as nursery:
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if not channel.connected():
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await channel.connect()
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was_connected = True
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if channel.uid is None:
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await actor._do_handshake(channel)
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msg_loop_cs: Optional[trio.CancelScope] = None
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if start_msg_loop:
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msg_loop_cs = await nursery.start(
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partial(
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actor._process_messages,
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channel,
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# if the local task is cancelled we want to keep
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# the msg loop running until our block ends
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shield=True,
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)
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)
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portal = Portal(channel)
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try:
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yield portal
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finally:
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await portal.aclose()
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if was_connected:
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# cancel remote channel-msg loop
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await channel.send(None)
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# cancel background msg loop task
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if msg_loop_cs:
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msg_loop_cs.cancel()
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nursery.cancel_scope.cancel()
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