Catch `KeyError` on bcast errors which pop the sub
Not sure how i missed this (and left in handling of `list.remove()` and
it ever worked for that?) after the `samplerd` impl in 5ec1a72
but, this
adjusts the remove-broken-subscriber loop to catch the correct
`set.remove()` exception type on a missing (likely already removed)
subscription entry.
log_linearized_curve_overlays
parent
8a87e5f390
commit
12e196a6f7
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@ -87,7 +87,6 @@ class Sampler:
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# holds all the ``tractor.Context`` remote subscriptions for
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# a particular sample period increment event: all subscribers are
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# notified on a step.
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# subscribers: dict[int, list[tractor.MsgStream]] = {}
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subscribers: defaultdict[
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float,
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list[
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@ -240,8 +239,11 @@ class Sampler:
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subscribers for a given sample period.
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'''
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pair: list[float, set]
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pair = self.subscribers[period_s]
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last_ts: float
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subs: set
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last_ts, subs = pair
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task = trio.lowlevel.current_task()
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@ -281,7 +283,7 @@ class Sampler:
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for stream in borked:
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try:
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subs.remove(stream)
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except ValueError:
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except KeyError:
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log.warning(
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f'{stream._ctx.chan.uid} sub already removed!?'
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)
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@ -429,7 +431,7 @@ async def maybe_open_samplerd(
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loglevel: str | None = None,
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**kwargs,
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) -> tractor._portal.Portal: # noqa
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) -> tractor.Portal: # noqa
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'''
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Client-side helper to maybe startup the ``samplerd`` service
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under the ``pikerd`` tree.
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@ -619,6 +621,14 @@ async def sample_and_broadcast(
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fqsn = f'{broker_symbol}.{brokername}'
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lags: int = 0
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# TODO: speed up this loop in an AOT compiled lang (like
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# rust or nim or zig) and/or instead of doing a fan out to
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# TCP sockets here, we add a shm-style tick queue which
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# readers can pull from instead of placing the burden of
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# broadcast on solely on this `brokerd` actor. see issues:
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# - https://github.com/pikers/piker/issues/98
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# - https://github.com/pikers/piker/issues/107
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for (stream, tick_throttle) in subs.copy():
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try:
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with trio.move_on_after(0.2) as cs:
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@ -748,9 +758,6 @@ def frame_ticks(
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ticks_by_type[ttype].append(tick)
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# TODO: a less naive throttler, here's some snippets:
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# token bucket by njs:
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# https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9
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async def uniform_rate_send(
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rate: float,
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@ -760,8 +767,22 @@ async def uniform_rate_send(
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task_status: TaskStatus = trio.TASK_STATUS_IGNORED,
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) -> None:
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'''
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Throttle a real-time (presumably tick event) stream to a uniform
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transmissiom rate, normally for the purposes of throttling a data
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flow being consumed by a graphics rendering actor which itself is limited
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by a fixed maximum display rate.
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# try not to error-out on overruns of the subscribed (chart) client
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Though this function isn't documented (nor was intentially written
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to be) a token-bucket style algo, it effectively operates as one (we
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think?).
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TODO: a less naive throttler, here's some snippets:
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token bucket by njs:
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https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9
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'''
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# try not to error-out on overruns of the subscribed client
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stream._ctx._backpressure = True
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# TODO: compute the approx overhead latency per cycle
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Reference in New Issue