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f1acbd9b84
Author | SHA1 | Date |
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Tyler Goodlet | f1acbd9b84 | |
Tyler Goodlet | 4a4a786763 | |
Tyler Goodlet | 70c7e09831 | |
Tyler Goodlet | 47d7b603db | |
Tyler Goodlet | 7f8c5cdfe6 | |
Tyler Goodlet | ce61230815 | |
Tyler Goodlet | 5da86a0e48 | |
Tyler Goodlet | 2ed071c903 | |
Tyler Goodlet | 5db737d368 | |
Tyler Goodlet | 47651eaf91 |
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@ -0,0 +1,86 @@
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import trio
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import tractor
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class Restart(Exception):
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"""Restart signal"""
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async def sleep_then_restart():
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actor = tractor.current_actor()
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print(f'{actor.uid} starting up!')
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await trio.sleep(0.5)
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raise Restart('This is a restart signal')
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async def signal_restart_whole_actor():
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actor = tractor.current_actor()
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print(f'{actor.uid} starting up!')
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await trio.sleep(0.5)
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return 'restart_me'
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async def respawn_remote_task(portal):
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# start a task in the actor at the other end
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# of the provided portal, when it signals a restart,
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# restart it..
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# This is much more efficient then restarting the undlerying
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# process over and over since the python interpreter runtime
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# stays up and we just submit a new task to run (which
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# is just the original one we submitted repeatedly.
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while True:
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try:
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await portal.run(sleep_then_restart)
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except tractor.RemoteActorError as error:
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if 'Restart' in str(error):
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# respawn the actor task
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continue
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async def supervisor():
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async with tractor.open_nursery() as tn:
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p0 = await tn.start_actor('task_restarter', enable_modules=[__name__])
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# Yes, you can do this from multiple tasks on one actor
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# or mulitple lone tasks in multiple subactors.
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# We'll show both.
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async with trio.open_nursery() as n:
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# we'll doe the first as a lone task restart in a daemon actor
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for i in range(4):
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n.start_soon(respawn_remote_task, p0)
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# Open another nursery that will respawn sub-actors
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# spawn a set of subactors that will signal restart
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# of the group of processes on each failures
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portals = []
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# start initial subactor set
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for i in range(4):
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p = await tn.run_in_actor(signal_restart_whole_actor)
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portals.append(p)
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# now wait on results and respawn actors
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# that request it
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while True:
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for p in portals:
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result = await p.result()
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if result == 'restart_me':
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print(f'restarting {p.channel.uid}')
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await p.cancel_actor()
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await trio.sleep(0.5)
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p = await tn.run_in_actor(signal_restart_whole_actor)
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portals.append(p)
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# this will block indefinitely so user must
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# cancel with ctrl-c
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if __name__ == '__main__':
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trio.run(supervisor)
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@ -0,0 +1,64 @@
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from itertools import cycle
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from pprint import pformat
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from dataclasses import dataclass, field
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import trio
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import tractor
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@dataclass
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class MyProcessStateThing:
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state: dict = field(default_factory=dict)
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def update(self, msg: dict):
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self.state.update(msg)
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_actor_state = MyProcessStateThing()
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async def update_local_state(msg: dict):
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"""Update process-local state from sent message and exit.
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"""
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actor = tractor.current_actor()
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global _actor_state
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print(f'Yo we got a message {msg}')
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# update the "actor state"
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_actor_state.update(msg)
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print(f'New local "state" for {actor.uid} is {pformat(_actor_state.state)}')
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# we're done so exit this task running in the subactor
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async def main():
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# Main process/thread that spawns one sub-actor and sends messages
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# to it to update it's state.
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actor_portals = []
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# XXX: that subactor can **not** outlive it's parent, this is SC.
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async with tractor.open_nursery() as tn:
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portal = await tn.start_actor('even_boy', enable_modules=[__name__])
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actor_portals.append(portal)
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portal = await tn.start_actor('odd_boy', enable_modules=[__name__])
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actor_portals.append(portal)
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for i, (count, portal) in enumerate(
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zip(range(100), cycle(actor_portals))
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):
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await portal.run(update_local_state, msg={f'msg_{i}': count})
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# blocks here indefinitely synce we spawned "daemon actors" using
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# .start_actor()`, you'll need to control-c to cancel.
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if __name__ == '__main__':
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trio.run(main)
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@ -0,0 +1,153 @@
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import inspect
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from typing import Any
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from functools import partial
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from contextlib import asynccontextmanager, AsyncExitStack
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from itertools import cycle
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from pprint import pformat
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import trio
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import tractor
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log = tractor.log.get_logger(__name__)
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class ActorState:
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"""Singlteton actor per process.
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"""
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# this is a class defined variable and is thus both
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# singleton across object instances and task safe.
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state: dict = {}
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def update(self, msg: dict) -> None:
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_actor = tractor.current_actor()
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print(f'Yo we got a message {msg}')
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self.state.update(msg)
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print(f'New local "state" for {_actor.uid} is {pformat(self.state)}')
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def close(self):
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# gives headers showing which process and task is active
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log.info('Actor state is closing')
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# if we wanted to support spawning or talking to other
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# actors we can do that using a portal map collection?
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# _portals: dict = {}
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async def _run_proxy_method(
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meth: str,
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msg: dict,
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) -> Any:
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"""Update process-local state from sent message and exit.
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"""
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# Create a new actor instance per call.
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# We can make this persistent by storing it either
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# in a global var or are another clas scoped variable?
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# If you want it somehow persisted in another namespace
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# I'd be interested to know "where".
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actor = ActorState()
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if meth != 'close':
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return getattr(actor, meth)(msg)
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else:
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actor.close()
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# we're done so exit this task running in the subactor
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class MethodProxy:
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def __init__(
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self,
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portal: tractor._portal.Portal
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) -> None:
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self._portal = portal
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async def _run_method(
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self,
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*,
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meth: str,
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msg: dict,
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) -> Any:
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return await self._portal.run(
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_run_proxy_method,
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meth=meth,
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msg=msg
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)
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def get_method_proxy(portal, target=ActorState) -> MethodProxy:
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proxy = MethodProxy(portal)
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# mock all remote methods
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for name, method in inspect.getmembers(
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target, predicate=inspect.isfunction
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):
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if '_' == name[0]:
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# skip private methods
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continue
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else:
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setattr(proxy, name, partial(proxy._run_method, meth=name))
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return proxy
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@asynccontextmanager
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async def spawn_proxy_actor(name):
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# XXX: that subactor can **not** outlive it's parent, this is SC.
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async with tractor.open_nursery(
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debug_mode=True,
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# loglevel='info',
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) as tn:
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portal = await tn.start_actor(name, enable_modules=[__name__])
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proxy = get_method_proxy(portal)
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yield proxy
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await proxy.close(msg=None)
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async def main():
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# Main process/thread that spawns one sub-actor and sends messages
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# to it to update it's state.
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try:
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stack = AsyncExitStack()
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actors = []
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for name in ['even', 'odd']:
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actor_proxy = await stack.enter_async_context(
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spawn_proxy_actor(name + '_boy')
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)
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actors.append(actor_proxy)
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# spin through the actors and update their states
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for i, (count, actor) in enumerate(
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zip(range(100), cycle(actors))
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):
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# Here we call the locally patched `.update()` method of the
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# remote instance
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# NOTE: the instance created each call here is currently
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# a new object - to persist it across `portal.run()` calls
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# we need to store it somewhere in memory for access by
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# a new task spawned in the remote actor process.
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await actor.update(msg={f'msg_{i}': count})
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# blocks here indefinitely synce we spawned "daemon actors" using
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# .start_actor()`, you'll need to control-c to cancel.
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finally:
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await stack.aclose()
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if __name__ == '__main__':
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trio.run(main)
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@ -16,6 +16,7 @@ import time
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import tractor
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import trio
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from async_generator import aclosing
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PRIMES = [
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async with worker_pool() as actor_map:
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start = time.time()
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# for number, prime in zip(PRIMES, executor.map(is_prime, PRIMES)):
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async for number, prime in actor_map(is_prime, PRIMES):
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print(f'{number} is prime: {prime}')
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async with aclosing(actor_map(is_prime, PRIMES)) as results:
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async for number, prime in results:
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print(f'{number} is prime: {prime}')
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print(f'processing took {time.time() - start} seconds')
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@ -1,6 +1,6 @@
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"""
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Run with a process monitor from a terminal using:
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$TERM -e watch -n 0.1 "pstree -a $$" & python examples/parallelism/we_are_processes.py || kill $!
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$TERM -e watch -n 0.1 "pstree -a $$" & python examples/parallelism/we_are_processes.py && kill $!
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"""
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from multiprocessing import cpu_count
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@ -11,7 +11,7 @@ import trio
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async def target():
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print(f"Yo, i'm {tractor.current_actor().name} "
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print(f"Yo, i'm '{tractor.current_actor().name}' "
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f"running in pid {os.getpid()}")
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await trio.sleep_forever()
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@ -31,4 +31,7 @@ async def main():
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if __name__ == '__main__':
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trio.run(main)
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try:
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trio.run(main)
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except Exception:
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print('Zombies Contained')
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@ -78,13 +78,13 @@ def run_example_in_subproc(loglevel, testdir, arb_addr):
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@pytest.mark.parametrize(
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'example_script',
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[
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f for f in os.listdir(examples_dir())
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if (
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('__' not in f) and
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('debugging' not in f)
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)
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],
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# walk yields: (dirpath, dirnames, filenames)
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[(p[0], f) for p in os.walk(examples_dir()) for f in p[2]
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if '__' not in f
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and 'debugging' not in p[0]
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]
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)
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def test_example(run_example_in_subproc, example_script):
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"""Load and run scripts from this repo's ``examples/`` dir as a user
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test directory and invoke the script as a module with ``python -m
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test_example``.
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"""
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ex_file = os.path.join(examples_dir(), example_script)
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ex_file = os.path.join(*example_script)
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with open(ex_file, 'r') as ex:
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code = ex.read()
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@ -17,6 +17,8 @@ class RemoteActorError(Exception):
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"Remote actor exception bundled locally"
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def __init__(self, message, type_str, **msgdata) -> None:
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super().__init__(message)
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self.type_str = type_str
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for ns in [builtins, _this_mod, trio]:
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try:
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self.type = getattr(ns, type_str)
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@ -6,6 +6,8 @@ semaphore tracker per ``MainProcess``.
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.. note:: There is no type hinting in this code base (yet) to remain as
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a close as possible to upstream.
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"""
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# type: ignore
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import os
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import socket
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import signal
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@ -67,7 +67,7 @@ def _fixup_main_from_name(mod_name: str) -> None:
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main_module = types.ModuleType("__mp_main__")
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main_content = runpy.run_module(mod_name,
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run_name="__mp_main__",
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alter_sys=True)
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alter_sys=True) # type: ignore
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main_module.__dict__.update(main_content)
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sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module
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@ -95,6 +95,6 @@ def _fixup_main_from_path(main_path: str) -> None:
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# old_main_modules.append(current_main)
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main_module = types.ModuleType("__mp_main__")
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main_content = runpy.run_path(main_path,
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run_name="__mp_main__")
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run_name="__mp_main__") # type: ignore
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main_module.__dict__.update(main_content)
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sys.modules['__main__'] = sys.modules['__mp_main__'] = main_module
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Loading…
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