Add common state delegate type for all consumers
For every set of broadcast receivers which pull from the same producer, we need a singleton state for all of, - subscriptions - the sender ready event - the queue Add a `BroadcastState` dataclass for this and pass it to all subscriptions. This makes the design much more like the built-in memory channels which do something very similar with `MemoryChannelState`. Use a `filter()` on the subs list in the sequence update step, plus some other commented approaches we can try for speed.tokio_backup
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@ -4,23 +4,42 @@ https://tokio-rs.github.io/tokio/doc/tokio/sync/broadcast/index.html
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'''
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from __future__ import annotations
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from itertools import cycle
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from collections import deque
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from contextlib import asynccontextmanager
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from dataclasses import dataclass
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from functools import partial
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from itertools import cycle
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from operator import ne
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from typing import Optional
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import trio
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import tractor
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from trio.lowlevel import current_task
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from trio.abc import ReceiveChannel
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from trio._core._run import Task
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from trio.abc import ReceiveChannel
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from trio.lowlevel import current_task
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import tractor
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class Lagged(trio.TooSlowError):
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'''Subscribed consumer task was too slow'''
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@dataclass
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class BroadcastState:
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'''Common state to all receivers of a broadcast.
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'''
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queue: deque
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# map of underlying clones to receiver wrappers
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# which must be provided as a singleton per broadcaster
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# clone-subscription set.
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subs: dict[trio.ReceiveChannel, BroadcastReceiver]
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# broadcast event to wakeup all sleeping consumer tasks
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# on a newly produced value from the sender.
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sender_ready: Optional[trio.Event] = None
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class BroadcastReceiver(ReceiveChannel):
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'''A memory receive channel broadcaster which is non-lossy for the
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fastest consumer.
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@ -33,28 +52,21 @@ class BroadcastReceiver(ReceiveChannel):
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self,
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rx_chan: ReceiveChannel,
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queue: deque,
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_subs: dict[trio.ReceiveChannel, BroadcastReceiver],
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state: BroadcastState,
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) -> None:
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# map of underlying clones to receiver wrappers
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# which must be provided as a singleton per broadcaster
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# clone-subscription set.
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self._subs = _subs
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# register the original underlying (clone)
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self._state = state
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state.subs[rx_chan] = -1
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# underlying for this receiver
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self._rx = rx_chan
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# register the original underlying (clone)
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self._subs[rx_chan] = -1
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self._queue = queue
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self._value_received: Optional[trio.Event] = None
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async def receive(self):
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key = self._rx
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state = self._state
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# TODO: ideally we can make some way to "lock out" the
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# underlying receive channel in some way such that if some task
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@ -64,7 +76,7 @@ class BroadcastReceiver(ReceiveChannel):
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# only tasks which have entered ``.subscribe()`` can
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# receive on this broadcaster.
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try:
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seq = self._subs[key]
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seq = state.subs[key]
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except KeyError:
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raise RuntimeError(
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f'{self} is not registerd as subscriber')
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@ -74,7 +86,7 @@ class BroadcastReceiver(ReceiveChannel):
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if seq > -1:
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# get the oldest value we haven't received immediately
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try:
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value = self._queue[seq]
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value = state.queue[seq]
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except IndexError:
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# adhere to ``tokio`` style "lagging":
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@ -87,51 +99,61 @@ class BroadcastReceiver(ReceiveChannel):
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# decrement to the last value and expect
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# consumer to either handle the ``Lagged`` and come back
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# or bail out on its own (thus un-subscribing)
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self._subs[key] = self._queue.maxlen - 1
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state.subs[key] = state.queue.maxlen - 1
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# this task was overrun by the producer side
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task: Task = current_task()
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raise Lagged(f'Task {task.name} was overrun')
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self._subs[key] -= 1
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state.subs[key] -= 1
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return value
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# current task already has the latest value **and** is the
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# first task to begin waiting for a new one
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if self._value_received is None:
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if state.sender_ready is None:
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event = self._value_received = trio.Event()
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event = state.sender_ready = trio.Event()
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value = await self._rx.receive()
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# items with lower indices are "newer"
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self._queue.appendleft(value)
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state.queue.appendleft(value)
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# broadcast new value to all subscribers by increasing
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# all sequence numbers that will point in the queue to
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# their latest available value.
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subs = self._subs.copy()
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# don't decrement the sequence # for this task since we
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# don't decrement the sequence for this task since we
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# already retreived the last value
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subs.pop(key)
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for sub_key, seq in subs.items():
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self._subs[sub_key] += 1
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# XXX: which of these impls is fastest?
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# subs = state.subs.copy()
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# subs.pop(key)
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for sub_key in filter(
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# lambda k: k != key, state.subs,
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partial(ne, key), state.subs,
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):
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state.subs[sub_key] += 1
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# reset receiver waiter task event for next blocking condition
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self._value_received = None
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event.set()
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state.sender_ready = None
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return value
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# This task is all caught up and ready to receive the latest
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# value, so queue sched it on the internal event.
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else:
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await self._value_received.wait()
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await state.sender_ready.wait()
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seq = self._subs[key]
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assert seq > -1, 'Internal error?'
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# TODO: optimization: if this is always true can't we just
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# skip iterating these sequence numbers on the fastest
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# task's wakeup and always read from state.queue[0]?
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seq = state.subs[key]
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assert seq == 0, 'Internal error?'
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self._subs[key] -= 1
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return self._queue[0]
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state.subs[key] -= 1
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return state.queue[seq]
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@asynccontextmanager
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async def subscribe(
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@ -145,12 +167,12 @@ class BroadcastReceiver(ReceiveChannel):
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'''
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clone = self._rx.clone()
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state = self._state
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br = BroadcastReceiver(
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clone,
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self._queue,
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_subs=self._subs,
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rx_chan=clone,
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state=state,
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)
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assert clone in self._subs
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assert clone in state.subs
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try:
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yield br
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@ -159,7 +181,7 @@ class BroadcastReceiver(ReceiveChannel):
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# ``AsyncResource`` api.
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await clone.aclose()
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# drop from subscribers and close
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self._subs.pop(clone)
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state.subs.pop(clone)
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# TODO:
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# - should there be some ._closed flag that causes
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@ -186,8 +208,10 @@ def broadcast_receiver(
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return BroadcastReceiver(
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recv_chan,
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state=BroadcastState(
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queue=deque(maxlen=max_buffer_size),
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_subs={}, # this is singleton over all subscriptions
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subs={},
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),
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)
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@ -210,7 +234,7 @@ if __name__ == '__main__':
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) -> None:
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task = current_task()
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count = 0
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lags = 0
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while True:
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async with rx.subscribe() as brx:
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async for value in brx:
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print(f'{task.name}: {value}')
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await trio.sleep(delay)
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count += 1
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except Lagged:
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print(
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f'restarting slow ass {task.name}'
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f'that bailed out on {count}:{value}')
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if count <= retries:
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f'that bailed out on {lags}:{value}')
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if lags <= retries:
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lags += 1
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continue
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else:
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print(
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f'{task.name} was too slow and terminated '
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f'on {count}:{value}')
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f'on {lags}:{value}')
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return
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async with trio.open_nursery() as n:
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for i in range(1, size):
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for i in range(1, 10):
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n.start_soon(
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partial(
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sub_and_print,
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