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Factor batch curve plotting into helper func

windows_fixes_yo
Tyler Goodlet 2022-02-08 08:21:08 -05:00
parent 4a7b2d835b
commit 8f467bf4f0
1 changed files with 77 additions and 126 deletions
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203
piker/ui/_fsp.py
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@ -617,15 +617,13 @@ async def open_vlm_displays(
names: list[str], names: list[str],
) -> tuple[float, float]: ) -> tuple[float, float]:
mx = 0 mx = 0
for name in names: for name in names:
mxmn = chart.maxmin(name=name) mxmn = chart.maxmin(name=name)
if mxmn: if mxmn:
mx = max(mxmn[1], mx) mx = max(mxmn[1], mx)
# if mx:
# return 0, mxmn[1]
return 0, mx return 0, mx
chart.view._maxmin = partial(maxmin, names=['volume']) chart.view._maxmin = partial(maxmin, names=['volume'])
@ -700,9 +698,10 @@ async def open_vlm_displays(
for event in tasks_ready: for event in tasks_ready:
n.start_soon(event.wait) n.start_soon(event.wait)
###################
# dolla vlm overlay # dolla vlm overlay
################### # XXX: the main chart already contains a vlm "units" axis
# so here we add an overlay wth a y-range in
# $ liquidity-value units (normally a fiat like USD).
dvlm_pi = chart.overlay_plotitem( dvlm_pi = chart.overlay_plotitem(
'dolla_vlm', 'dolla_vlm',
index=0, # place axis on inside (nearest to chart) index=0, # place axis on inside (nearest to chart)
@ -717,26 +716,27 @@ async def open_vlm_displays(
}, },
) )
# all to be overlayed curve names
fields = [
'dolla_vlm',
'dark_vlm',
]
dvlm_rate_fields = [
'dvlm_rate',
'dark_dvlm_rate',
]
trade_rate_fields = [
'trade_rate',
'dark_trade_rate',
]
# add custom auto range handler # add custom auto range handler
dvlm_pi.vb._maxmin = partial( dvlm_pi.vb._maxmin = partial(
maxmin, maxmin,
# keep both regular and dark vlm in view # keep both regular and dark vlm in view
names=[ names=fields + dvlm_rate_fields,
'dolla_vlm',
'dark_vlm',
'dvlm_rate',
'dark_dvlm_rate',
],
) )
curve, _ = chart.draw_curve(
name='dolla_vlm',
data=dvlm_shm.array,
array_key='dolla_vlm',
overlay=dvlm_pi,
step_mode=True,
)
# TODO: is there a way to "sync" the dual axes such that only # TODO: is there a way to "sync" the dual axes such that only
# one curve is needed? # one curve is needed?
# hide the original vlm curve since the $vlm one is now # hide the original vlm curve since the $vlm one is now
@ -744,27 +744,50 @@ async def open_vlm_displays(
# liquidity events (well at least on low OHLC periods - 1s). # liquidity events (well at least on low OHLC periods - 1s).
vlm_curve.hide() vlm_curve.hide()
# TODO: we need a better API to do this.. # use slightly less light (then bracket) gray
# specially store ref to shm for lookup in display loop # for volume from "main exchange" and a more "bluey"
# since only a placeholder of `None` is entered in # gray for "dark" vlm.
# ``.draw_curve()``. vlm_color = 'i3'
chart._overlays['dolla_vlm'] = dvlm_shm
################
# dark vlm curve
################
# darker theme hue (obvsly)
dark_vlm_color = 'charcoal' dark_vlm_color = 'charcoal'
curve, _ = chart.draw_curve(
name='dark_vlm', # add dvlm (step) curves to common view
data=dvlm_shm.array, def chart_curves(
array_key='dark_vlm', names: list[str],
overlay=dvlm_pi, pi: pg.PlotItem,
color=dark_vlm_color, shm: ShmArray,
step_mode: bool = False,
style: str = 'solid',
) -> None:
for name in names:
if 'dark' in name:
color = dark_vlm_color
else:
color = vlm_color
curve, _ = chart.draw_curve(
# name='dolla_vlm',
name=name,
data=shm.array,
array_key=name,
overlay=pi,
color=color,
step_mode=step_mode,
style=style,
)
# TODO: we need a better API to do this..
# specially store ref to shm for lookup in display loop
# since only a placeholder of `None` is entered in
# ``.draw_curve()``.
chart._overlays[name] = shm
chart_curves(
fields,
dvlm_pi,
dvlm_shm,
step_mode=True, step_mode=True,
# **conf.get('chart_kwargs', {})
) )
chart._overlays['dark_vlm'] = dvlm_shm
# spawn flow rates fsp **ONLY AFTER** the 'dolla_vlm' fsp is # spawn flow rates fsp **ONLY AFTER** the 'dolla_vlm' fsp is
# up since this one depends on it. # up since this one depends on it.
@ -777,80 +800,21 @@ async def open_vlm_displays(
) )
await started.wait() await started.wait()
# curve, _ = chart.draw_curve( chart_curves(
# name='1m_vlm_rate', dvlm_rate_fields,
# data=fr_shm.array, dvlm_pi,
# array_key='1m_vlm_rate', fr_shm,
# overlay=fr_pi,
# color='jet',
# style='solid',
# )
# chart._overlays['1m_vlm_rate'] = fr_shm
# use slightly less light (then bracket) gray
# for volume from "main exchange".
vlm_color = 'i3'
curve, _ = chart.draw_curve(
name='dvlm_rate',
data=fr_shm.array,
array_key='dvlm_rate',
overlay=dvlm_pi,
color=vlm_color,
style='solid',
) )
chart._overlays['dvlm_rate'] = fr_shm
curve, _ = chart.draw_curve(
name='dark_dvlm_rate',
data=fr_shm.array,
array_key='dark_dvlm_rate',
overlay=dvlm_pi,
color=dark_vlm_color,
style='solid',
)
chart._overlays['dark_dvlm_rate'] = fr_shm
# vlm rate overlay
####################
# (needs separate axis since trade counts are likely
# different scale then vlm)
# vlmrate_pi = chart.overlay_plotitem(
# 'vlm_rates',
# index=0, # place axis on inside (nearest to chart)
# # NOTE: we might want to suffix with a \w
# # on lhs and prefix for the rhs axis labels?
# axis_title=' vlm/m',
# axis_side='left',
# axis_kwargs={
# 'typical_max_str': ' 100.0 M ',
# 'formatter': partial(
# humanize,
# digits=2,
# ),
# 'text_color': vlm_color,
# },
# )
# # add custom auto range handler
# vlmrate.vb._maxmin = partial(
# maxmin,
# # keep both regular and dark vlm in view
# names=[
# # '1m_vlm_rate',
# ],
# )
####################
# Trade rate overlay # Trade rate overlay
#################### # XXX: requires an additional overlay for
# a trades-per-period (time) y-range.
tr_pi = chart.overlay_plotitem( tr_pi = chart.overlay_plotitem(
'trade_rates', 'trade_rates',
# TODO: dynamically update period (and thus this axis?) # TODO: dynamically update period (and thus this axis?)
# title from user input. # title from user input.
axis_title='clrs/Ts', axis_title='clrs/ts',
axis_side='left', axis_side='left',
axis_kwargs={ axis_kwargs={
@ -863,35 +827,22 @@ async def open_vlm_displays(
}, },
) )
fields = [
'trade_rate',
'dark_trade_rate',
# '1m_trade_rate',
]
# add custom auto range handler # add custom auto range handler
tr_pi.vb._maxmin = partial( tr_pi.vb._maxmin = partial(
maxmin, maxmin,
# keep both regular and dark vlm in view # keep both regular and dark vlm in view
names=fields, names=trade_rate_fields,
) )
chart_curves(
trade_rate_fields,
tr_pi,
fr_shm,
for field in fields: # dashed line to represent "individual trades" being
if 'dark' in field: # more "granular" B)
color = dark_vlm_color style='dash',
else: )
color = vlm_color
curve, _ = chart.draw_curve(
name=field,
data=fr_shm.array,
array_key=field,
overlay=tr_pi,
color=color,
# dashed line to represent "individual trades" being
# more "granular" B)
style='dash',
)
chart._overlays[field] = fr_shm
for pi in (dvlm_pi, tr_pi): for pi in (dvlm_pi, tr_pi):
for name, axis_info in pi.axes.items(): for name, axis_info in pi.axes.items():