piker/piker/ui/_display.py

1067 lines
33 KiB
Python

# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
real-time display tasks for charting graphics update.
this module ties together quote and computational (fsp) streams with
graphics update methods via our custom ``pyqtgraph`` charting api.
'''
from functools import partial
import time
from typing import Optional, Any, Callable
import tractor
import trio
import pyqtgraph as pg
# from .. import brokers
from ..data.feed import (
open_feed,
Feed,
)
from ..data.types import Struct
from ._axes import YAxisLabel
from ._chart import (
ChartPlotWidget,
LinkedSplits,
GodWidget,
)
from ._l1 import L1Labels
from ._style import hcolor
from ._fsp import (
update_fsp_chart,
start_fsp_displays,
has_vlm,
open_vlm_displays,
)
from ..data._sharedmem import ShmArray
from ..data._source import tf_in_1s
from ._forms import (
FieldsForm,
mk_order_pane_layout,
)
from .order_mode import open_order_mode
from .._profile import (
pg_profile_enabled,
ms_slower_then,
)
from ..log import get_logger
log = get_logger(__name__)
# TODO: load this from a config.toml!
_quote_throttle_rate: int = 16 # Hz
# a working tick-type-classes template
_tick_groups = {
'clears': {'trade', 'utrade', 'last'},
'bids': {'bid', 'bsize'},
'asks': {'ask', 'asize'},
}
# TODO: delegate this to each `Flow.maxmin()` which includes
# caching and further we should implement the following stream based
# approach, likely with ``numba``:
# https://arxiv.org/abs/cs/0610046
# https://github.com/lemire/pythonmaxmin
def chart_maxmin(
chart: ChartPlotWidget,
ohlcv_shm: ShmArray,
vlm_chart: Optional[ChartPlotWidget] = None,
) -> tuple[
tuple[int, int, int, int],
float,
float,
float,
]:
'''
Compute max and min datums "in view" for range limits.
'''
last_bars_range = chart.bars_range()
out = chart.maxmin()
if out is None:
return (last_bars_range, 0, 0, 0)
mn, mx = out
mx_vlm_in_view = 0
# TODO: we need to NOT call this to avoid a manual
# np.max/min trigger and especially on the vlm_chart
# flows which aren't shown.. like vlm?
if vlm_chart:
out = vlm_chart.maxmin()
if out:
_, mx_vlm_in_view = out
return (
last_bars_range,
mx,
max(mn, 0), # presuming price can't be negative?
mx_vlm_in_view,
)
class DisplayState(Struct):
'''
Chart-local real-time graphics state container.
'''
godwidget: GodWidget
quotes: dict[str, Any]
maxmin: Callable
ohlcv: ShmArray
hist_ohlcv: ShmArray
# high level chart handles
chart: ChartPlotWidget
# axis labels
l1: L1Labels
last_price_sticky: YAxisLabel
hist_last_price_sticky: YAxisLabel
# misc state tracking
vars: dict[str, Any] = {
'tick_margin': 0,
'i_last': 0,
'i_last_append': 0,
'last_mx_vlm': 0,
'last_mx': 0,
'last_mn': 0,
}
vlm_chart: Optional[ChartPlotWidget] = None
vlm_sticky: Optional[YAxisLabel] = None
wap_in_history: bool = False
def incr_info(
self,
chart: Optional[ChartPlotWidget] = None,
shm: Optional[ShmArray] = None,
state: Optional[dict] = None, # pass in a copy if you don't
update_state: bool = True,
update_uppx: float = 16,
) -> tuple:
shm = shm or self.ohlcv
chart = chart or self.chart
state = state or self.vars
if not update_state:
state = state.copy()
# compute the first available graphic's x-units-per-pixel
uppx = chart.view.x_uppx()
# NOTE: this used to be implemented in a dedicated
# "increment task": ``check_for_new_bars()`` but it doesn't
# make sense to do a whole task switch when we can just do
# this simple index-diff and all the fsp sub-curve graphics
# are diffed on each draw cycle anyway; so updates to the
# "curve" length is already automatic.
# increment the view position by the sample offset.
i_step = shm.index
i_diff = i_step - state['i_last']
state['i_last'] = i_step
append_diff = i_step - state['i_last_append']
# update the "last datum" (aka extending the flow graphic with
# new data) only if the number of unit steps is >= the number of
# such unit steps per pixel (aka uppx). Iow, if the zoom level
# is such that a datum(s) update to graphics wouldn't span
# to a new pixel, we don't update yet.
do_append = (append_diff >= uppx)
if do_append:
state['i_last_append'] = i_step
do_rt_update = uppx < update_uppx
_, _, _, r = chart.bars_range()
liv = r >= i_step
# TODO: pack this into a struct
return (
uppx,
liv,
do_append,
i_diff,
append_diff,
do_rt_update,
)
async def graphics_update_loop(
nurse: trio.Nursery,
godwidget: GodWidget,
feed: Feed,
wap_in_history: bool = False,
vlm_chart: Optional[ChartPlotWidget] = None,
) -> None:
'''
The 'main' (price) chart real-time update loop.
Receive from the primary instrument quote stream and update the OHLC
chart.
'''
# TODO: bunch of stuff (some might be done already, can't member):
# - I'm starting to think all this logic should be
# done in one place and "graphics update routines"
# should not be doing any length checking and array diffing.
# - handle odd lot orders
# - update last open price correctly instead
# of copying it from last bar's close
# - 1-5 sec bar lookback-autocorrection like tws does?
# (would require a background history checker task)
linked: LinkedSplits = godwidget.rt_linked
display_rate = godwidget.window.current_screen().refreshRate()
chart = linked.chart
hist_chart = godwidget.hist_linked.chart
ohlcv = feed.rt_shm
hist_ohlcv = feed.hist_shm
# update last price sticky
last_price_sticky = chart._ysticks[chart.name]
last_price_sticky.update_from_data(
*ohlcv.array[-1][['index', 'close']]
)
hist_last_price_sticky = hist_chart._ysticks[hist_chart.name]
hist_last_price_sticky.update_from_data(
*hist_ohlcv.array[-1][['index', 'close']]
)
maxmin = partial(
chart_maxmin,
chart,
ohlcv,
vlm_chart,
)
last_bars_range: tuple[float, float]
(
last_bars_range,
last_mx,
last_mn,
last_mx_vlm,
) = maxmin()
last, volume = ohlcv.array[-1][['close', 'volume']]
symbol = chart.linked.symbol
l1 = L1Labels(
chart,
# determine precision/decimal lengths
digits=symbol.tick_size_digits,
size_digits=symbol.lot_size_digits,
)
chart._l1_labels = l1
# TODO:
# - in theory we should be able to read buffer data faster
# then msgs arrive.. needs some tinkering and testing
# - if trade volume jumps above / below prior L1 price
# levels this might be dark volume we need to
# present differently -> likely dark vlm
tick_size = chart.linked.symbol.tick_size
tick_margin = 3 * tick_size
chart.show()
last_quote = time.time()
i_last = ohlcv.index
ds = linked.display_state = DisplayState(**{
'godwidget': godwidget,
'quotes': {},
'maxmin': maxmin,
'ohlcv': ohlcv,
'hist_ohlcv': hist_ohlcv,
'chart': chart,
'last_price_sticky': last_price_sticky,
'hist_last_price_sticky': hist_last_price_sticky,
'l1': l1,
'vars': {
'tick_margin': tick_margin,
'i_last': i_last,
'i_last_append': i_last,
'last_mx_vlm': last_mx_vlm,
'last_mx': last_mx,
'last_mn': last_mn,
}
})
if vlm_chart:
vlm_sticky = vlm_chart._ysticks['volume']
ds.vlm_chart = vlm_chart
ds.vlm_sticky = vlm_sticky
chart.default_view()
# TODO: probably factor this into some kinda `DisplayState`
# API that can be reused at least in terms of pulling view
# params (eg ``.bars_range()``).
async def increment_history_view():
i_last = hist_ohlcv.index
state = ds.vars.copy() | {
'i_last_append': i_last,
'i_last': i_last,
}
_, hist_step_size_s, _ = feed.get_ds_info()
async with feed.index_stream(
int(hist_step_size_s)
) as istream:
async for msg in istream:
# check if slow chart needs a resize
(
uppx,
liv,
do_append,
i_diff,
append_diff,
do_rt_update,
) = ds.incr_info(
chart=hist_chart,
shm=ds.hist_ohlcv,
state=state,
# update_state=False,
)
if (
do_append
and liv
):
hist_chart.increment_view(steps=i_diff)
hist_chart.view._set_yrange(yrange=hist_chart.maxmin())
nurse.start_soon(increment_history_view)
# main real-time quotes update loop
stream: tractor.MsgStream = feed.stream
async for quotes in stream:
ds.quotes = quotes
quote_period = time.time() - last_quote
quote_rate = round(
1/quote_period, 1) if quote_period > 0 else float('inf')
if (
quote_period <= 1/_quote_throttle_rate
# in the absolute worst case we shouldn't see more then
# twice the expected throttle rate right!?
# and quote_rate >= _quote_throttle_rate * 2
and quote_rate >= display_rate
):
log.warning(f'High quote rate {symbol.key}: {quote_rate}')
last_quote = time.time()
# chart isn't active/shown so skip render cycle and pause feed(s)
if chart.linked.isHidden():
print('skipping update')
chart.pause_all_feeds()
continue
ic = chart.view._ic
if ic:
chart.pause_all_feeds()
await ic.wait()
chart.resume_all_feeds()
# sync call to update all graphics/UX components.
graphics_update_cycle(ds)
def graphics_update_cycle(
ds: DisplayState,
wap_in_history: bool = False,
trigger_all: bool = False, # flag used by prepend history updates
prepend_update_index: Optional[int] = None,
) -> None:
# TODO: eventually optimize this whole graphics stack with ``numba``
# hopefully XD
chart = ds.chart
# TODO: just pass this as a direct ref to avoid so many attr accesses?
hist_chart = ds.godwidget.hist_linked.chart
profiler = pg.debug.Profiler(
msg=f'Graphics loop cycle for: `{chart.name}`',
delayed=True,
disabled=not pg_profile_enabled(),
# disabled=True,
ms_threshold=ms_slower_then,
# ms_threshold=1/12 * 1e3,
)
# unpack multi-referenced components
vlm_chart = ds.vlm_chart
# rt "HFT" chart
l1 = ds.l1
ohlcv = ds.ohlcv
array = ohlcv.array
vars = ds.vars
tick_margin = vars['tick_margin']
for sym, quote in ds.quotes.items():
(
uppx,
liv,
do_append,
i_diff,
append_diff,
do_rt_update,
) = ds.incr_info()
# TODO: we should only run mxmn when we know
# an update is due via ``do_append`` above.
(
brange,
mx_in_view,
mn_in_view,
mx_vlm_in_view,
) = ds.maxmin()
l, lbar, rbar, r = brange
mx = mx_in_view + tick_margin
mn = mn_in_view - tick_margin
profiler('`ds.maxmin()` call')
if (
prepend_update_index is not None
and lbar > prepend_update_index
):
# on a history update (usually from the FSP subsys)
# if the segment of history that is being prepended
# isn't in view there is no reason to do a graphics
# update.
log.debug('Skipping prepend graphics cycle: frame not in view')
return
# don't real-time "shift" the curve to the
# left unless we get one of the following:
if (
(do_append and liv)
or trigger_all
):
chart.increment_view(steps=i_diff)
if vlm_chart:
vlm_chart.increment_view(steps=i_diff)
profiler('view incremented')
ticks_frame = quote.get('ticks', ())
frames_by_type: dict[str, dict] = {}
lasts = {}
# build tick-type "frames" of tick sequences since
# likely the tick arrival rate is higher then our
# (throttled) quote stream rate.
for tick in ticks_frame:
price = tick.get('price')
ticktype = tick.get('type')
if ticktype == 'n/a' or price == -1:
# okkk..
continue
# keys are entered in olded-event-inserted-first order
# since we iterate ``ticks_frame`` in standard order
# above. in other words the order of the keys is the order
# of tick events by type from the provider feed.
frames_by_type.setdefault(ticktype, []).append(tick)
# overwrites so the last tick per type is the entry
lasts[ticktype] = tick
# from pprint import pformat
# frame_counts = {
# typ: len(frame) for typ, frame in frames_by_type.items()
# }
# print(f'{pformat(frame_counts)}')
# print(f'framed: {pformat(frames_by_type)}')
# print(f'lasts: {pformat(lasts)}')
# TODO: eventually we want to separate out the utrade (aka
# dark vlm prices) here and show them as an additional
# graphic.
clear_types = _tick_groups['clears']
# XXX: if we wanted to iterate in "latest" (i.e. most
# current) tick first order as an optimization where we only
# update from the last tick from each type class.
# last_clear_updated: bool = False
# update ohlc sampled price bars
if (
do_rt_update
or do_append
or trigger_all
):
chart.update_graphics_from_flow(
chart.name,
do_append=do_append,
)
hist_chart.update_graphics_from_flow(
chart.name,
do_append=do_append,
)
# NOTE: we always update the "last" datum
# since the current range should at least be updated
# to it's max/min on the last pixel.
# iterate in FIFO order per tick-frame
for typ, tick in lasts.items():
price = tick.get('price')
size = tick.get('size')
# compute max and min prices (including bid/ask) from
# tick frames to determine the y-range for chart
# auto-scaling.
# TODO: we need a streaming minmax algo here, see def above.
if liv:
mx = max(price + tick_margin, mx)
mn = min(price - tick_margin, mn)
if typ in clear_types:
# XXX: if we only wanted to update graphics from the
# "current"/"latest received" clearing price tick
# once (see alt iteration order above).
# if last_clear_updated:
# continue
# last_clear_updated = True
# we only want to update grahpics from the *last*
# tick event that falls under the "clearing price"
# set.
# update price sticky(s)
end = array[-1]
ds.last_price_sticky.update_from_data(
*end[['index', 'close']]
)
ds.hist_last_price_sticky.update_from_data(
*end[['index', 'close']]
)
if wap_in_history:
# update vwap overlay line
chart.update_graphics_from_flow(
'bar_wap',
)
# L1 book label-line updates
# XXX: is this correct for ib?
# if ticktype in ('trade', 'last'):
# if ticktype in ('last',): # 'size'):
if typ in ('last',): # 'size'):
label = {
l1.ask_label.fields['level']: l1.ask_label,
l1.bid_label.fields['level']: l1.bid_label,
}.get(price)
if (
label is not None
and liv
):
label.update_fields(
{'level': price, 'size': size}
)
# TODO: on trades should we be knocking down
# the relevant L1 queue?
# label.size -= size
elif (
typ in _tick_groups['asks']
# TODO: instead we could check if the price is in the
# y-view-range?
and liv
):
l1.ask_label.update_fields({'level': price, 'size': size})
elif (
typ in _tick_groups['bids']
# TODO: instead we could check if the price is in the
# y-view-range?
and liv
):
l1.bid_label.update_fields({'level': price, 'size': size})
# check for y-range re-size
if (mx > vars['last_mx']) or (mn < vars['last_mn']):
# fast chart resize case
if (
liv
and not chart._static_yrange == 'axis'
):
main_vb = chart.view
if (
main_vb._ic is None
or not main_vb._ic.is_set()
):
# print(f'updating range due to mxmn')
main_vb._set_yrange(
# TODO: we should probably scale
# the view margin based on the size
# of the true range? This way you can
# slap in orders outside the current
# L1 (only) book range.
# range_margin=0.1,
yrange=(mn, mx),
)
# check if slow chart needs a resize
(
_,
hist_liv,
_,
_,
_,
_,
) = ds.incr_info(
chart=hist_chart,
shm=ds.hist_ohlcv,
update_state=False,
)
if hist_liv:
hist_chart.view._set_yrange(yrange=hist_chart.maxmin())
# XXX: update this every draw cycle to make L1-always-in-view work.
vars['last_mx'], vars['last_mn'] = mx, mn
# run synchronous update on all linked flows
# TODO: should the "main" (aka source) flow be special?
for curve_name, flow in chart._flows.items():
# update any overlayed fsp flows
if curve_name != chart.data_key:
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
# even if we're downsampled bigly
# draw the last datum in the final
# px column to give the user the mx/mn
# range of that set.
if (
not do_append
# and not do_rt_update
and liv
):
flow.draw_last(
array_key=curve_name,
only_last_uppx=True,
)
# volume chart logic..
# TODO: can we unify this with the above loop?
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
)
if (
(
do_rt_update
or do_append
and liv
)
or trigger_all
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_flow(
'volume',
# UGGGh, see ``maxmin()`` impl in `._fsp` for
# the overlayed plotitems... we need a better
# bay to invoke a maxmin per overlay..
render=False,
# XXX: ^^^^ THIS IS SUPER IMPORTANT! ^^^^
# without this, since we disable the
# 'volume' (units) chart after the $vlm starts
# up we need to be sure to enable this
# auto-ranging otherwise there will be no handler
# connected to update accompanying overlay
# graphics..
)
profiler('`vlm_chart.update_graphics_from_flow()`')
if (
mx_vlm_in_view != vars['last_mx_vlm']
):
yrange = (0, mx_vlm_in_view * 1.375)
vlm_chart.view._set_yrange(
yrange=yrange,
)
profiler('`vlm_chart.view._set_yrange()`')
# print(f'mx vlm: {last_mx_vlm} -> {mx_vlm_in_view}')
vars['last_mx_vlm'] = mx_vlm_in_view
for curve_name, flow in vlm_chart._flows.items():
if (
curve_name != 'volume' and
flow.render and (
liv and
do_rt_update or do_append
)
):
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
# do_append=uppx < update_uppx,
do_append=do_append,
)
# is this even doing anything?
# (pretty sure it's the real-time
# resizing from last quote?)
fvb = flow.plot.vb
fvb._set_yrange(
name=curve_name,
)
elif (
curve_name != 'volume'
and not do_append
and liv
and uppx >= 1
# even if we're downsampled bigly
# draw the last datum in the final
# px column to give the user the mx/mn
# range of that set.
):
# always update the last datum-element
# graphic for all flows
# print(f'drawing last {flow.name}')
flow.draw_last(array_key=curve_name)
async def display_symbol_data(
godwidget: GodWidget,
provider: str,
sym: str,
loglevel: str,
order_mode_started: trio.Event,
) -> None:
'''
Spawn a real-time updated chart for ``symbol``.
Spawned ``LinkedSplits`` chart widgets can remain up but hidden so
that multiple symbols can be viewed and switched between extremely
fast from a cached watch-list.
'''
sbar = godwidget.window.status_bar
loading_sym_key = sbar.open_status(
f'loading {sym}.{provider} ->',
group_key=True
)
# historical data fetch
# brokermod = brokers.get_brokermod(provider)
# ohlc_status_done = sbar.open_status(
# 'retreiving OHLC history.. ',
# clear_on_next=True,
# group_key=loading_sym_key,
# )
fqsn = '.'.join((sym, provider))
async with open_feed(
[fqsn],
loglevel=loglevel,
# limit to at least display's FPS
# avoiding needless Qt-in-guest-mode context switches
tick_throttle=_quote_throttle_rate,
) as feed:
ohlcv: ShmArray = feed.rt_shm
hist_ohlcv: ShmArray = feed.hist_shm
# this value needs to be pulled once and only once during
# startup
end_index = feed.startup_hist_index
symbol = feed.symbols[sym]
fqsn = symbol.front_fqsn()
step_size_s = 1
tf_key = tf_in_1s[step_size_s]
# load in symbol's ohlc data
godwidget.window.setWindowTitle(
f'{fqsn} '
f'tick:{symbol.tick_size} '
f'step:{tf_key} '
)
rt_linked = godwidget.rt_linked
rt_linked._symbol = symbol
# create top history view chart above the "main rt chart".
hist_linked = godwidget.hist_linked
hist_linked._symbol = symbol
hist_chart = hist_linked.plot_ohlc_main(
symbol,
feed.hist_shm,
# in the case of history chart we explicitly set `False`
# to avoid internal pane creation.
# sidepane=False,
sidepane=godwidget.search,
)
# don't show when not focussed
hist_linked.cursor.always_show_xlabel = False
# generate order mode side-pane UI
# A ``FieldsForm`` form to configure order entry
# and add as next-to-y-axis singleton pane
pp_pane: FieldsForm = mk_order_pane_layout(godwidget)
godwidget.pp_pane = pp_pane
# create main OHLC chart
chart = rt_linked.plot_ohlc_main(
symbol,
ohlcv,
# in the case of history chart we explicitly set `False`
# to avoid internal pane creation.
sidepane=pp_pane,
)
chart._feeds[symbol.key] = feed
chart.setFocus()
# XXX: FOR SOME REASON THIS IS CAUSING HANGZ!?!
# plot historical vwap if available
wap_in_history = False
# if (
# brokermod._show_wap_in_history
# and 'bar_wap' in bars.dtype.fields
# ):
# wap_in_history = True
# chart.draw_curve(
# name='bar_wap',
# shm=ohlcv,
# color='default_light',
# add_label=False,
# )
# Add the LinearRegionItem to the ViewBox, but tell the ViewBox
# to exclude this item when doing auto-range calculations.
rt_pi = chart.plotItem
hist_pi = hist_chart.plotItem
region = pg.LinearRegionItem(
# color scheme that matches sidepane styling
pen=pg.mkPen(hcolor('gunmetal')),
brush=pg.mkBrush(hcolor('default_darkest')),
)
region.setZValue(10)
hist_pi.addItem(region, ignoreBounds=True)
flow = chart._flows[hist_chart.name]
assert flow
# XXX: no idea why this doesn't work but it's causing
# a weird placement of the region on the way-far-left..
# region.setClipItem(flow.graphics)
# poll for datums load and timestep detection
for _ in range(100):
try:
_, _, ratio = feed.get_ds_info()
break
except IndexError:
await trio.sleep(0.01)
continue
else:
raise RuntimeError(
'Failed to detect sampling periods from shm!?')
def update_pi_from_region():
region.setZValue(10)
mn, mx = region.getRegion()
# print(f'region_x: {(mn, mx)}')
# XXX: seems to cause a real perf hit?
rt_pi.setXRange(
(mn - end_index) * ratio,
(mx - end_index) * ratio,
padding=0,
)
region.sigRegionChanged.connect(update_pi_from_region)
def update_region_from_pi(
window,
viewRange: tuple[tuple, tuple],
is_manual: bool = True,
) -> None:
# set the region on the history chart
# to the range currently viewed in the
# HFT/real-time chart.
mn, mx = viewRange[0]
ds_mn = mn/ratio
ds_mx = mx/ratio
# print(
# f'rt_view_range: {(mn, mx)}\n'
# f'ds_mn, ds_mx: {(ds_mn, ds_mx)}\n'
# )
region.setRegion((
ds_mn + end_index,
ds_mx + end_index,
))
# connect region to be updated on plotitem interaction.
rt_pi.sigRangeChanged.connect(update_region_from_pi)
# NOTE: we must immediately tell Qt to show the OHLC chart
# to avoid a race where the subplots get added/shown to
# the linked set *before* the main price chart!
rt_linked.show()
rt_linked.focus()
await trio.sleep(0)
rt_linked.splitter.insertWidget(0, hist_linked)
# XXX: if we wanted it at the bottom?
# rt_linked.splitter.addWidget(hist_linked)
rt_linked.focus()
vlm_chart: Optional[ChartPlotWidget] = None
async with trio.open_nursery() as ln:
# if available load volume related built-in display(s)
if (
not symbol.broker_info[provider].get('no_vlm', False)
and has_vlm(ohlcv)
):
vlm_chart = await ln.start(
open_vlm_displays,
rt_linked,
ohlcv,
)
# load (user's) FSP set (otherwise known as "indicators")
# from an input config.
ln.start_soon(
start_fsp_displays,
rt_linked,
ohlcv,
loading_sym_key,
loglevel,
)
# start graphics update loop after receiving first live quote
ln.start_soon(
graphics_update_loop,
ln,
godwidget,
feed,
wap_in_history,
vlm_chart,
)
await trio.sleep(0)
# size view to data prior to order mode init
chart.default_view()
rt_linked.graphics_cycle()
await trio.sleep(0)
hist_chart.default_view(
bars_from_y=int(len(hist_ohlcv.array)), # size to data
y_offset=6116*2, # push it a little away from the y-axis
)
hist_linked.graphics_cycle()
await trio.sleep(0)
async with (
open_order_mode(
feed,
godwidget,
fqsn,
order_mode_started
)
):
if not vlm_chart:
# trigger another view reset if no sub-chart
chart.default_view()
# let Qt run to render all widgets and make sure the
# sidepanes line up vertically.
await trio.sleep(0)
rt_linked.resize_sidepanes()
rt_linked.set_split_sizes()
hist_linked.resize_sidepanes(from_linked=rt_linked)
# TODO: look into this because not sure why it was
# commented out / we ever needed it XD
# NOTE: we pop the volume chart from the subplots set so
# that it isn't double rendered in the display loop
# above since we do a maxmin calc on the volume data to
# determine if auto-range adjustements should be made.
# rt_linked.subplots.pop('volume', None)
# TODO: make this not so shit XD
# close group status
sbar._status_groups[loading_sym_key][1]()
hist_linked.graphics_cycle()
await trio.sleep(0)
hist_chart.default_view(
bars_from_y=int(len(hist_ohlcv.array)), # size to data
y_offset=6116*2, # push it a little away from the y-axis
)
# let the app run.. bby
await trio.sleep_forever()