Simplify to only needed one LHS axis for clearing rates
Tyler Goodlet
parent
73faafcfc1
commit
87653ddca2
146
piker/ui/_fsp.py
146
piker/ui/_fsp.py
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@ -715,7 +715,13 @@ async def open_vlm_displays(
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dvlm_pi.vb._maxmin = partial(
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maxmin,
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# keep both regular and dark vlm in view
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names=['dolla_vlm', 'dark_vlm'],
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names=[
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'dolla_vlm',
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'dark_vlm',
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'dvlm_rate',
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'dark_dvlm_rate',
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],
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)
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curve, _ = chart.draw_curve(
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@ -741,22 +747,21 @@ async def open_vlm_displays(
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################
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# dark vlm curve
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################
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# darker theme hue (obvsly)
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dark_vlm_color = 'charcoal'
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curve, _ = chart.draw_curve(
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name='dark_vlm',
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data=dvlm_shm.array,
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array_key='dark_vlm',
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overlay=dvlm_pi,
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color='charcoal', # darker theme hue
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color=dark_vlm_color,
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step_mode=True,
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# **conf.get('chart_kwargs', {})
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)
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chart._overlays['dark_vlm'] = dvlm_shm
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##################
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# Vlm rate overlay
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##################
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# spawn and overlay $ vlm on the same subchart
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# spawn flow rates fsp **ONLY AFTER** the 'dolla_vlm' fsp is
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# up since this one depends on it.
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fr_shm, started = await admin.start_engine_task(
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flow_rates,
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{ # fsp engine conf
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@ -765,82 +770,121 @@ async def open_vlm_displays(
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# loglevel,
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)
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await started.wait()
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trade_rate_color = vlm_rate_color = 'i3'
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fr_pi = chart.overlay_plotitem(
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'vlm_rates',
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index=0, # place axis on inside (nearest to chart)
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# curve, _ = chart.draw_curve(
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# name='1m_vlm_rate',
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# data=fr_shm.array,
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# array_key='1m_vlm_rate',
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# overlay=fr_pi,
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# color='jet',
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# style='solid',
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# )
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# chart._overlays['1m_vlm_rate'] = fr_shm
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# NOTE: we might want to suffix with a \w
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# on lhs and prefix for the rhs axis labels?
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axis_title=' vlm/m',
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axis_side='left',
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axis_kwargs={
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'typical_max_str': ' 100.0 M ',
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'formatter': partial(
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humanize,
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digits=2,
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),
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'text_color': vlm_rate_color,
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},
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)
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# add custom auto range handler
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fr_pi.vb._maxmin = partial(
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maxmin,
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# keep both regular and dark vlm in view
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names=[
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'1m_vlm_rate',
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],
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)
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# use slightly less light (then bracket) gray
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# for volume from "main exchange".
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vlm_color = 'i3'
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curve, _ = chart.draw_curve(
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name='1m_vlm_rate',
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name='dvlm_rate',
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data=fr_shm.array,
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array_key='1m_vlm_rate',
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overlay=fr_pi,
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color=vlm_rate_color,
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array_key='dvlm_rate',
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overlay=dvlm_pi,
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color=vlm_color,
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style='solid',
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)
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chart._overlays['1m_vlm_rate'] = fr_shm
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chart._overlays['dvlm_rate'] = fr_shm
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curve, _ = chart.draw_curve(
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name='dark_dvlm_rate',
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data=fr_shm.array,
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array_key='dark_dvlm_rate',
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overlay=dvlm_pi,
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color=dark_vlm_color,
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style='solid',
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)
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chart._overlays['dark_dvlm_rate'] = fr_shm
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# vlm rate overlay
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####################
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# (needs separate axis since trade counts are likely
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# different scale then vlm)
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# vlmrate_pi = chart.overlay_plotitem(
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# 'vlm_rates',
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# index=0, # place axis on inside (nearest to chart)
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# # NOTE: we might want to suffix with a \w
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# # on lhs and prefix for the rhs axis labels?
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# axis_title=' vlm/m',
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# axis_side='left',
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# axis_kwargs={
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# 'typical_max_str': ' 100.0 M ',
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# 'formatter': partial(
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# humanize,
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# digits=2,
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# ),
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# 'text_color': vlm_color,
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# },
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# )
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# # add custom auto range handler
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# vlmrate.vb._maxmin = partial(
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# maxmin,
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# # keep both regular and dark vlm in view
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# names=[
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# # '1m_vlm_rate',
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# ],
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# )
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####################
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# Trade rate overlay
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####################
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fr_pi = chart.overlay_plotitem(
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tr_pi = chart.overlay_plotitem(
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'trade_rates',
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index=1, # place axis on inside (nearest to chart)
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axis_title='trades/m ',
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axis_title='tr(16) ',
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axis_side='left',
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axis_kwargs={
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'typical_max_str': ' 100.0 M ',
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'typical_max_str': ' 10.0 M ',
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'formatter': partial(
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humanize,
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digits=2,
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),
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'text_color': trade_rate_color,
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'text_color': vlm_color,
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},
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)
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fields = [
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'trade_rate',
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'dark_trade_rate',
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# '1m_trade_rate',
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]
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# add custom auto range handler
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fr_pi.vb._maxmin = partial(
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tr_pi.vb._maxmin = partial(
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maxmin,
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# keep both regular and dark vlm in view
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names=[
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'1m_trade_rate',
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],
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names=fields,
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)
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for field in fields:
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if 'dark' in field:
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color = dark_vlm_color
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else:
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color = vlm_color
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curve, _ = chart.draw_curve(
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name='1m_trade_rate',
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name=field,
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data=fr_shm.array,
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array_key='1m_trade_rate',
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overlay=fr_pi,
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color=trade_rate_color,
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array_key=field,
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overlay=tr_pi,
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color=color,
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# dashed line to represent "individual trades" being
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# more "granular" B)
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style='dash',
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)
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chart._overlays['1m_trade_rate'] = fr_shm
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chart._overlays[field] = fr_shm
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for pi in (dvlm_pi, fr_pi):
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for pi in (dvlm_pi, tr_pi):
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for name, axis_info in pi.axes.items():
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# lol this sux XD
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axis = axis_info['item']
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