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piker
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Fix a bunch of scrolling / panning logic 

Don't allow zooming to less then a min number of data points. Allow
panning "outside" the data set (i.e. moving one of the sequence "ends"
to the middle of the view. Start adding logging.
its_happening
Tyler Goodlet 2020-07-04 17:48:31 -04:00
parent a4658ac990
commit 36303f0770
1 changed files with 109 additions and 48 deletions
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157
piker/ui/_chart.py
View File

@ -1,7 +1,7 @@
"""
High level Qt chart widgets.
"""
from typing import List, Optional
from typing import List, Optional, Tuple
import trio
import numpy as np
@ -16,8 +16,12 @@ from ._axes import (
from ._graphics import CrossHairItem, ChartType
from ._style import _xaxis_at
from ._source import Symbol
from .. import brokers
from .. log import get_logger
log = get_logger(__name__)
# margins
CHART_MARGINS = (0, 0, 10, 3)
@ -106,7 +110,7 @@ class LinkedSplitCharts(QtGui.QWidget):
self.signals_visible = False
# main data source
self._array = None
self._array: np.ndarray = None
self._ch = None # crosshair graphics
self._index = 0
@ -135,7 +139,7 @@ class LinkedSplitCharts(QtGui.QWidget):
def set_split_sizes(
self,
prop: float = 0.2
prop: float = 0.25
) -> None:
"""Set the proportion of space allocated for linked subcharts.
"""
@ -186,7 +190,7 @@ class LinkedSplitCharts(QtGui.QWidget):
# TODO: this is where we would load an indicator chain
# XXX: note, if this isn't index aligned with
# the source data the chart will go haywire.
inds = [('open', lambda a: a.close)]
inds = [('open', lambda a: a['close'])]
for name, func in inds:
cv = ChartView()
@ -261,15 +265,14 @@ class LinkedSplitCharts(QtGui.QWidget):
chart.update_from_array(data, chart.name)
_min_points_to_show = 15
_min_bars_in_view = 10
_min_points_to_show = 20
class ChartPlotWidget(pg.PlotWidget):
"""``GraphicsView`` subtype containing a single ``PlotItem``.
- The added methods allow for plotting OHLC sequences from
``np.recarray``s with appropriate field names.
``np.ndarray``s with appropriate field names.
- Overrides a ``pyqtgraph.PlotWidget`` (a ``GraphicsView`` containing
a single ``PlotItem``) to intercept and and re-emit mouse enter/exit
events.
@ -334,22 +337,24 @@ class ChartPlotWidget(pg.PlotWidget):
"""Set view limits (what's shown in the main chart "pane")
based on max / min x / y coords.
"""
# max_lookahead = _min_points_to_show - _min_bars_in_view
# set panning limits
self.setLimits(
xMin=xfirst,
xMax=xlast + _min_points_to_show - 3,
xMax=xlast,
minXRange=_min_points_to_show,
)
def bars_range(self):
def view_range(self) -> Tuple[int, int]:
vr = self.viewRect()
return int(vr.left()), int(vr.right())
def bars_range(self) -> Tuple[int, int, int, int]:
"""Return a range tuple for the bars present in view.
"""
vr = self.viewRect()
lbar = int(vr.left())
rbar = int(vr.right())
return lbar, rbar
l, r = self.view_range()
lbar = max(l, 0)
rbar = min(r, len(self.parent._array) - 1)
return l, lbar, rbar, r
def draw_ohlc(
self,
@ -370,7 +375,7 @@ class ChartPlotWidget(pg.PlotWidget):
# set xrange limits
self._xlast = xlast = data[-1]['index']
self._set_xlimits(data[0]['index'], xlast)
# self._set_xlimits(data[0]['index'] - 100, xlast)
# show last 50 points on startup
self.plotItem.vb.setXRange(xlast - 50, xlast + 50)
@ -393,7 +398,7 @@ class ChartPlotWidget(pg.PlotWidget):
# set a "startup view"
xlast = len(data)-1
self._set_xlimits(0, xlast)
# self._set_xlimits(0, xlast)
# show last 50 points on startup
self.plotItem.vb.setXRange(xlast - 50, xlast + 50)
@ -427,14 +432,33 @@ class ChartPlotWidget(pg.PlotWidget):
# self.setAutoVisible(x=False, y=True)
# self.enableAutoRange(x=False, y=True)
# figure out x-range bars on screen
lbar, rbar = self.bars_range()
l, lbar, rbar, r = self.bars_range()
# figure out x-range in view such that user can scroll "off" the data
# set up to the point where ``_min_points_to_show`` are left.
# if l < lbar or r > rbar:
bars_len = rbar - lbar
view_len = r - l
# TODO: logic to check if end of bars in view
extra = view_len - _min_points_to_show
begin = 0 - extra
end = len(self.parent._array) - 1 + extra
log.trace(
f"\nl: {l}, lbar: {lbar}, rbar: {rbar}, r: {r}\n"
f"view_len: {view_len}, bars_len: {bars_len}\n"
f"begin: {begin}, end: {end}, extra: {extra}"
)
self._set_xlimits(begin, end)
# TODO: this should be some kind of numpy view api
bars = self.parent._array[lbar:rbar]
if not len(bars):
# likely no data loaded yet
print(f"WTF bars_range = {lbar}:{rbar}")
return
elif lbar < 0:
breakpoint()
# TODO: should probably just have some kinda attr mark
# that determines this behavior based on array type
@ -449,8 +473,9 @@ class ChartPlotWidget(pg.PlotWidget):
std = np.std(bars)
# view margins
ylow *= 0.98
yhigh *= 1.02
diff = yhigh - ylow
ylow = ylow - (diff * 0.08)
yhigh = yhigh + (diff * 0.08)
chart = self
chart.setLimits(
@ -504,8 +529,14 @@ class ChartView(pg.ViewBox):
mask = self.state['mouseEnabled'][:]
# don't zoom more then the min points setting
lbar, rbar = self.linked_charts.chart.bars_range()
if ev.delta() >= 0 and rbar - lbar <= _min_points_to_show:
l, lbar, rbar, r = self.linked_charts.chart.bars_range()
vl = r - l
if ev.delta() > 0 and vl <= _min_points_to_show:
log.trace("Max zoom bruh...")
return
if ev.delta() < 0 and vl >= len(self.linked_charts._array) - 1:
log.trace("Min zoom bruh...")
return
# actual scaling factor
@ -533,12 +564,9 @@ class ChartView(pg.ViewBox):
def main(symbol):
"""Entry point to spawn a chart app.
"""
from datetime import datetime
from ._exec import run_qtrio
from ._source import from_df
# uses pandas_datareader
from .quantdom.loaders import get_quotes
async def _main(widgets):
"""Main Qt-trio routine invoked by the Qt loop with
@ -546,35 +574,68 @@ def main(symbol):
"""
chart_app = widgets['main']
quotes = get_quotes(
symbol=symbol,
date_from=datetime(1900, 1, 1),
date_to=datetime(2030, 12, 31),
)
quotes = from_df(quotes)
# from .quantdom.loaders import get_quotes
# from datetime import datetime
# from ._source import from_df
# quotes = get_quotes(
# symbol=symbol,
# date_from=datetime(1900, 1, 1),
# date_to=datetime(2030, 12, 31),
# )
# quotes = from_df(quotes)
# data-feed spawning
brokermod = brokers.get_brokermod('ib')
async with brokermod.get_client() as client:
# figure out the exact symbol
bars = await client.bars(symbol='ES')
# wow, just wow.. non-contiguous eh?
bars = np.array(bars)
# feed = DataFeed(portal, brokermod)
# quote_gen, quotes = await feed.open_stream(
# symbols,
# 'stock',
# rate=rate,
# test=test,
# )
# first_quotes, _ = feed.format_quotes(quotes)
# if first_quotes[0].get('last') is None:
# log.error("Broker API is down temporarily")
# return
# spawn chart
linked_charts = chart_app.load_symbol(symbol, quotes)
linked_charts = chart_app.load_symbol(symbol, bars)
await trio.sleep_forever()
# make some fake update data
import itertools
nums = itertools.cycle([315., 320., 325., 310., 3])
# import itertools
# nums = itertools.cycle([315., 320., 325., 310., 3])
def gen_nums():
while True:
yield quotes[-1].close + 1
# def gen_nums():
# while True:
# yield quotes[-1].close + 2
# yield quotes[-1].close - 2
nums = gen_nums()
# nums = gen_nums()
await trio.sleep(10)
while True:
new = next(nums)
quotes[-1].close = new
# this updates the linked_charts internal array
# and then passes that array to all subcharts to
# render downstream graphics
linked_charts.update_from_quote({'last': new})
await trio.sleep(.1)
# # await trio.sleep(10)
# import time
# while True:
# new = next(nums)
# quotes[-1].close = new
# # this updates the linked_charts internal array
# # and then passes that array to all subcharts to
# # render downstream graphics
# start = time.time()
# linked_charts.update_from_quote({'last': new})
# print(f"Render latency {time.time() - start}")
# # 20 Hz seems to be good enough
# await trio.sleep(0.05)
await trio.sleep_forever()