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Fix contents labels issues 

Lookup overlay contents from the OHLC struct array (for now / to make
things work) and fix anchoring logic with better offsets to keep
contents labels super tight to the edge of the view box. Unfortunately,
had to hack the label-height-calc thing for avoiding overlap of graphics
with the label; haven't found a better solution yet and pyqtgraph seems
to require more rabbit holing to figure out something better. Slap in
some inf lines for over[sold/bought] rsi conditions thresholding.
bar_select
Tyler Goodlet 2020-10-19 14:18:06 -04:00
parent 851104dd31
commit c57f678295
1 changed files with 81 additions and 30 deletions
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111
piker/ui/_chart.py
View File

@ -13,13 +13,14 @@ from ._axes import (
DynamicDateAxis,
PriceAxis,
)
from ._graphics import CrossHair, BarItems
from ._graphics import CrossHair, BarItems, h_line
from ._axes import YSticky
from ._style import (
_xaxis_at, _min_points_to_show, hcolor,
CHART_MARGINS,
_bars_from_right_in_follow_mode,
_bars_to_left_in_follow_mode,
# _font,
)
from ..data._source import Symbol
from .. import brokers
@ -295,6 +296,7 @@ class ChartPlotWidget(pg.PlotWidget):
background=hcolor('papas_special'),
# parent=None,
# plotItem=None,
# antialias=True,
**kwargs
)
self._array = array # readonly view of data
@ -382,10 +384,14 @@ class ChartPlotWidget(pg.PlotWidget):
# Ogi says: "use ..."
label = pg.LabelItem(
justify='left',
size='4pt',
size='6px',
)
label.setParentItem(self._vb)
self.scene().addItem(label)
# keep close to top
label.anchor(itemPos=(0, 0), parentPos=(0, 0), offset=(0, -4))
def update(index: int) -> None:
label.setText(
"{name}[{index}] -> O:{} H:{} L:{} C:{} V:{}".format(
@ -427,7 +433,7 @@ class ChartPlotWidget(pg.PlotWidget):
curve = pg.PlotDataItem(
data,
antialias=True,
# antialias=True,
name=name,
# TODO: see how this handles with custom ohlcv bars graphics
clipToView=True,
@ -443,21 +449,33 @@ class ChartPlotWidget(pg.PlotWidget):
justify='left',
size='6px',
)
# anchor to the viewbox
label.setParentItem(self._vb)
# label.setParentItem(self.getPlotItem())
if overlay:
# position bottom left if an overlay
label.anchor(itemPos=(0, 1), parentPos=(0, 1), offset=(0, 14))
label.anchor(itemPos=(1, 1), parentPos=(1, 1), offset=(0, 3))
self._overlays[name] = curve
def update(index: int) -> None:
data = self._array[index][name]
label.setText(f"{name}: {data:.2f}")
else:
label.anchor(itemPos=(0, 0), parentPos=(0, 0), offset=(0, -4))
def update(index: int) -> None:
data = self._array[index]
label.setText(f"{name}: {data:.2f}")
# def update(index: int) -> None:
# data = self._array[index]
# label.setText(f"{name} -> {data:.2f}")
label.show()
self.scene().addItem(label)
def update(index: int) -> None:
data = self._array[index]
label.setText(f"{name} -> {data}")
self._labels[name] = (label, update)
self._update_contents_label(len(data) - 1)
@ -572,28 +590,34 @@ class ChartPlotWidget(pg.PlotWidget):
ylow = np.nanmin(bars)
yhigh = np.nanmax(bars)
# view margins: stay within a % of the "true range"
diff = yhigh - ylow
ylow = ylow - (diff * 0.08)
yhigh = yhigh + (diff * 0.01)
# view margins: stay within a % of the "true range"
diff = yhigh - ylow
ylow = ylow - (diff * 0.04)
# yhigh = yhigh + (diff * 0.01)
# compute contents label "height" in view terms
# to avoid having data "contents" overlap with them
if self._labels:
label = self._labels[self.name][0]
rect = label.itemRect()
tl, br = rect.topLeft(), rect.bottomRight()
vb = self.plotItem.vb
try:
# on startup labels might not yet be rendered
top, bottom = (vb.mapToView(tl).y(), vb.mapToView(br).y())
label_h = top - bottom
# XXX: hack, how do we compute exactly?
label_h = (top - bottom) * 0.42
except np.linalg.LinAlgError:
label_h = 0
# print(f'label height {self.name}: {label_h}')
else:
label_h = 0
# print(f'label height {self.name}: {label_h}')
if label_h > yhigh - ylow:
label_h = 0
@ -731,13 +755,16 @@ async def chart_from_quotes(
for sym, quote in quotes.items():
for tick in iterticks(quote, type='trade'):
array = ohlcv.array
# update price sticky(s)
last = array[-1]
last_price_sticky.update_from_data(*last[['index', 'close']])
# update price bar
chart.update_from_array(
chart.name,
array,
)
# update sticky(s)
last = array[-1]
last_price_sticky.update_from_data(*last[['index', 'close']])
# TODO: we need a streaming minmax algorithm here to
brange, mx, mn = maxmin()
@ -762,7 +789,7 @@ async def chart_from_quotes(
async def chart_from_fsp(
linked_charts,
func_name,
fsp_func_name,
sym,
src_shm,
brokermod,
@ -772,10 +799,13 @@ async def chart_from_fsp(
Pass target entrypoint and historical data.
"""
name = f'fsp.{func_name}'
name = f'fsp.{fsp_func_name}'
# TODO: load function here and introspect
# return stream type(s)
fsp_dtype = np.dtype([('index', int), (func_name, float)])
# TODO: should `index` be a required internal field?
fsp_dtype = np.dtype([('index', int), (fsp_func_name, float)])
async with tractor.open_nursery() as n:
key = f'{sym}.' + name
@ -786,13 +816,16 @@ async def chart_from_fsp(
dtype=fsp_dtype,
readonly=True,
)
# XXX: fsp may have been opened by a duplicate chart. Error for
# now until we figure out how to wrap fsps as "feeds".
assert opened, f"A chart for {key} likely already exists?"
# start fsp sub-actor
portal = await n.run_in_actor(
name, # name as title of sub-chart
# name as title of sub-chart
name,
# subactor entrypoint
fsp.cascade,
@ -800,7 +833,7 @@ async def chart_from_fsp(
src_shm_token=src_shm.token,
dst_shm_token=shm.token,
symbol=sym,
fsp_func_name=func_name,
fsp_func_name=fsp_func_name,
# tractor config
loglevel=loglevel,
@ -813,8 +846,8 @@ async def chart_from_fsp(
_ = await stream.receive()
chart = linked_charts.add_plot(
name=func_name,
array=shm.array,
name=fsp_func_name,
array=shm.array[fsp_func_name],
# settings passed down to ``ChartPlotWidget``
static_yrange=(0, 100),
@ -823,21 +856,39 @@ async def chart_from_fsp(
# display contents labels asap
chart._update_contents_label(len(shm.array) - 1)
array = shm.array[func_name]
value = array[-1]
array = shm.array
value = array[fsp_func_name][-1]
last_val_sticky = chart._ysticks[chart.name]
last_val_sticky.update_from_data(-1, value)
chart.update_from_array(chart.name, array)
chart.update_from_array(chart.name, array[fsp_func_name])
# TODO: figure out if we can roll our own `FillToThreshold` to
# get brush filled polygons for OS/OB conditions.
# ``pg.FillBetweenItems`` seems to be one technique using
# generic fills between curve types while ``PlotCurveItem`` has
# logic inside ``.paint()`` for ``self.opts['fillLevel']`` which
# might be the best solution?
# graphics = chart.update_from_array(chart.name, array[fsp_func_name])
# graphics.curve.setBrush(50, 50, 200, 100)
# graphics.curve.setFillLevel(50)
# add moveable over-[sold/bought] lines
chart.plotItem.addItem(h_line(30))
chart.plotItem.addItem(h_line(70))
chart._shm = shm
chart._set_yrange()
# update chart graphics
async for value in stream:
array = shm.array[func_name]
value = array[-1]
# p = pg.debug.Profiler(disabled=False, delayed=False)
array = shm.array
value = array[-1][fsp_func_name]
last_val_sticky.update_from_data(-1, value)
chart.update_from_array(chart.name, array)
chart.update_from_array(chart.name, array[fsp_func_name])
# p('rendered rsi datum')
async def check_for_new_bars(feed, ohlcv, linked_charts):