Use array-`int`-indexing on single feed
Might as well since it makes the chart look less gappy and we can easily flip the index switch now B) Also adds a new `'i_slow_last'` key to `DisplayState` for a singleton across all slow charts and thus no more need for special case logic in `viz.incr_info()`.epoch_indexing_and_dataviz_layer
parent
50ef4efccb
commit
3300a240c6
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@ -212,10 +212,12 @@ async def graphics_update_loop(
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assert hist_chart
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assert hist_chart
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# per-viz-set global last index tracking for global chart
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# per-viz-set global last index tracking for global chart
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# view UX incrementing.
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# view UX incrementing; these values are singleton
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# per-multichart-set such that automatic x-domain shifts are only
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# done once per time step update.
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globalz = {
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globalz = {
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'i_last': 0,
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'i_last': 0, # multiview-global fast (1s) step index
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'i_last_append': 0,
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'i_last_slow': 0, # multiview-global slow (1m) step index
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}
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}
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dss: dict[str, DisplayState] = {}
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dss: dict[str, DisplayState] = {}
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@ -292,8 +294,7 @@ async def graphics_update_loop(
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fast_chart.show()
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fast_chart.show()
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last_quote = time.time()
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last_quote = time.time()
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# global _i_last
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i_last: float = 0
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i_last = ohlcv.index
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dss[fqsn] = ds = linked.display_state = DisplayState(**{
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dss[fqsn] = ds = linked.display_state = DisplayState(**{
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'godwidget': godwidget,
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'godwidget': godwidget,
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@ -375,13 +376,15 @@ async def graphics_update_loop(
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do_append
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do_append
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and liv
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and liv
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):
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):
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# hist_chart.increment_view(steps=i_diff)
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viz = hist_chart._vizs[fqsn]
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viz = hist_chart._vizs[fqsn]
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viz.plot.vb._set_yrange(
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viz.plot.vb._set_yrange(
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# yrange=hist_chart.maxmin(name=fqsn)
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# yrange=hist_chart.maxmin(name=fqsn)
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)
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)
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# hist_chart.view._set_yrange(yrange=hist_chart.maxmin())
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# hist_chart.view._set_yrange(yrange=hist_chart.maxmin())
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if should_incr:
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hist_chart.increment_view(steps=i_diff)
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nurse.start_soon(increment_history_view)
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nurse.start_soon(increment_history_view)
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# main real-time quotes update loop
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# main real-time quotes update loop
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@ -878,7 +881,18 @@ async def link_views_with_region(
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# set the region on the history chart
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# set the region on the history chart
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# to the range currently viewed in the
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# to the range currently viewed in the
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# HFT/real-time chart.
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# HFT/real-time chart.
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region.setRegion(viewRange[0])
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rng = mn, mx = viewRange[0]
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# hist_viz = hist_chart.get_viz(flume.symbol.fqsn)
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# hist = hist_viz.shm.array[-3:]
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# print(
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# f'mn: {mn}\n'
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# f'mx: {mx}\n'
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# f'slow last 3 epochs: {list(hist["time"])}\n'
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# f'slow last 3: {hist}\n'
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# )
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region.setRegion(rng)
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else:
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else:
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# poll for datums load and timestep detection
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# poll for datums load and timestep detection
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@ -1113,6 +1127,12 @@ async def display_symbol_data(
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tuple[str, Flume]
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tuple[str, Flume]
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] = list(feed.flumes.items())
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] = list(feed.flumes.items())
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# use array int-indexing when no aggregate feed overlays are
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# loaded.
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if len(fitems) == 1:
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from ._dataviz import Viz
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Viz._index_field = 'index'
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# for the "first"/selected symbol we create new chart widgets
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# for the "first"/selected symbol we create new chart widgets
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# and sub-charts for FSPs
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# and sub-charts for FSPs
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fqsn, flume = fitems[0]
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fqsn, flume = fitems[0]
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