commit
837c34e24b
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@ -79,7 +79,7 @@ async def filter_quotes_by_sym(
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async def fsp_compute(
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stream: tractor.MsgStream,
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ctx: tractor.Context,
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symbol: str,
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feed: Feed,
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quote_stream: trio.abc.ReceiveChannel,
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@ -90,7 +90,7 @@ async def fsp_compute(
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func_name: str,
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func: Callable,
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attach_stream: bool = False,
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attach_stream: bool = True,
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task_status: TaskStatus[None] = trio.TASK_STATUS_IGNORED,
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) -> None:
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@ -147,6 +147,7 @@ async def fsp_compute(
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# setup a respawn handle
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with trio.CancelScope() as cs:
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tracker = TaskTracker(trio.Event(), cs)
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await ctx.started(index)
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task_status.started((tracker, index))
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profiler(f'{func_name} yield last index')
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@ -155,23 +156,24 @@ async def fsp_compute(
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try:
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# rt stream
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async for processed in out_stream:
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async with ctx.open_stream() as stream:
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async for processed in out_stream:
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log.debug(f"{func_name}: {processed}")
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index = src.index
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dst.array[-1][func_name] = processed
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log.debug(f"{func_name}: {processed}")
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index = src.index
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dst.array[-1][func_name] = processed
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# NOTE: for now we aren't streaming this to the consumer
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# stream latest array index entry which basically just acts
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# as trigger msg to tell the consumer to read from shm
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if attach_stream:
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await stream.send(index)
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# NOTE: for now we aren't streaming this to the consumer
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# stream latest array index entry which basically just acts
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# as trigger msg to tell the consumer to read from shm
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if attach_stream:
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await stream.send(index)
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# period = time.time() - last
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# hz = 1/period if period else float('nan')
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# if hz > 60:
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# log.info(f'FSP quote too fast: {hz}')
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# last = time.time()
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# period = time.time() - last
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# hz = 1/period if period else float('nan')
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# if hz > 60:
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# log.info(f'FSP quote too fast: {hz}')
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# last = time.time()
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finally:
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tracker.complete.set()
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@ -229,14 +231,13 @@ async def cascade(
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# last_len = new_len = len(src.array)
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async with (
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ctx.open_stream() as stream,
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trio.open_nursery() as n,
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):
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fsp_target = partial(
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fsp_compute,
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stream=stream,
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ctx=ctx,
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symbol=symbol,
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feed=feed,
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quote_stream=quote_stream,
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@ -255,7 +256,6 @@ async def cascade(
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last = dst.array[-1:]
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zeroed = np.zeros(last.shape, dtype=last.dtype)
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await ctx.started(index)
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profiler(f'{func_name}: fsp up')
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async def resync(tracker: TaskTracker) -> tuple[TaskTracker, int]:
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@ -427,7 +427,7 @@ async def run_fsp(
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)
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async with (
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portal.open_stream_from(
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portal.open_context(
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# chaining entrypoint
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fsp.cascade,
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@ -437,21 +437,17 @@ async def run_fsp(
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src_shm_token=src_shm.token,
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dst_shm_token=conf['shm'].token,
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symbol=sym,
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fsp_func_name=fsp_func_name,
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func_name=fsp_func_name,
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loglevel=loglevel,
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) as stream,
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) as (ctx, last_index),
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ctx.open_stream() as stream,
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open_sidepane(
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linkedsplits,
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display_name,
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) as sidepane,
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):
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# receive last index for processed historical
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# data-array as first msg
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_ = await stream.receive()
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shm = conf['shm']
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if conf.get('overlay'):
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Reference in New Issue