2020-12-28 20:32:34 +00:00
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# piker: trading gear for hackers
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# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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"""
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Super fast OHLC sampling graphics types.
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2020-12-29 13:43:25 +00:00
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2020-12-28 20:32:34 +00:00
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"""
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2022-03-09 20:00:17 +00:00
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from __future__ import annotations
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from typing import (
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Optional,
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TYPE_CHECKING,
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)
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2020-12-28 20:32:34 +00:00
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import numpy as np
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import pyqtgraph as pg
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2022-03-17 13:00:59 +00:00
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from numpy.lib import recfunctions as rfn
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2021-02-21 17:02:20 +00:00
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from numba import njit, float64, int64 # , optional
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2020-12-29 17:55:56 +00:00
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from PyQt5 import QtCore, QtGui, QtWidgets
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2020-12-28 20:32:34 +00:00
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from PyQt5.QtCore import QLineF, QPointF
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2020-12-29 13:43:25 +00:00
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# from numba import types as ntypes
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# from ..data._source import numba_ohlc_dtype
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2020-12-28 20:32:34 +00:00
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2021-07-12 13:18:11 +00:00
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from .._profile import pg_profile_enabled
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from ._style import hcolor
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from ..log import get_logger
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from ._curve import FastAppendCurve
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2022-03-17 13:00:59 +00:00
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from ._compression import hl2mxmn, ds_m4
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2022-03-09 20:00:17 +00:00
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if TYPE_CHECKING:
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from ._chart import LinkedSplits
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2022-03-09 16:01:01 +00:00
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log = get_logger(__name__)
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2020-12-28 20:32:34 +00:00
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def _mk_lines_array(
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data: list,
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size: int,
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elements_step: int = 6,
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) -> np.ndarray:
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'''
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Create an ndarray to hold lines graphics info.
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2022-03-11 19:40:17 +00:00
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'''
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return np.zeros_like(
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data,
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shape=(int(size), elements_step),
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dtype=object,
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)
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2021-02-21 17:02:20 +00:00
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def lines_from_ohlc(
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row: np.ndarray,
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w: float
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) -> tuple[QLineF]:
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2020-12-28 20:32:34 +00:00
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open, high, low, close, index = row[
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['open', 'high', 'low', 'close', 'index']]
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2021-02-21 17:02:20 +00:00
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# TODO: maybe consider using `QGraphicsLineItem` ??
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# gives us a ``.boundingRect()`` on the objects which may make
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# computing the composite bounding rect of the last bars + the
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# history path faster since it's done in C++:
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# https://doc.qt.io/qt-5/qgraphicslineitem.html
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# high -> low vertical (body) line
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if low != high:
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hl = QLineF(index, low, index, high)
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else:
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# XXX: if we don't do it renders a weird rectangle?
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# see below for filtering this later...
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hl = None
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# NOTE: place the x-coord start as "middle" of the drawing range such
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# that the open arm line-graphic is at the left-most-side of
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# the index's range according to the view mapping coordinates.
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# open line
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o = QLineF(index - w, open, index, open)
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# close line
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c = QLineF(index, close, index + w, close)
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return [hl, o, c]
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2021-02-21 17:02:20 +00:00
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@njit(
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# TODO: for now need to construct this manually for readonly arrays, see
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# https://github.com/numba/numba/issues/4511
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# ntypes.tuple((float64[:], float64[:], float64[:]))(
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# numba_ohlc_dtype[::1], # contiguous
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# int64,
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# optional(float64),
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# ),
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nogil=True
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)
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def path_arrays_from_ohlc(
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data: np.ndarray,
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start: int64,
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bar_gap: float64 = 0.43,
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2020-12-28 20:32:34 +00:00
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) -> np.ndarray:
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'''
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Generate an array of lines objects from input ohlc data.
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2020-12-28 20:32:34 +00:00
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2022-03-11 19:40:17 +00:00
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'''
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size = int(data.shape[0] * 6)
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x = np.zeros(
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# data,
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shape=size,
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dtype=float64,
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)
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y, c = x.copy(), x.copy()
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# TODO: report bug for assert @
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# /home/goodboy/repos/piker/env/lib/python3.8/site-packages/numba/core/typing/builtins.py:991
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for i, q in enumerate(data[start:], start):
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# TODO: ask numba why this doesn't work..
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# open, high, low, close, index = q[
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# ['open', 'high', 'low', 'close', 'index']]
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open = q['open']
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high = q['high']
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low = q['low']
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close = q['close']
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index = float64(q['index'])
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istart = i * 6
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istop = istart + 6
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# x,y detail the 6 points which connect all vertexes of a ohlc bar
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x[istart:istop] = (
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index - bar_gap,
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index,
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index,
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index,
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index,
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index + bar_gap,
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)
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y[istart:istop] = (
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open,
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open,
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low,
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high,
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close,
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close,
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)
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# specifies that the first edge is never connected to the
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# prior bars last edge thus providing a small "gap"/"space"
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# between bars determined by ``bar_gap``.
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2021-09-17 20:30:56 +00:00
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c[istart:istop] = (1, 1, 1, 1, 1, 0)
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return x, y, c
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def gen_qpath(
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data,
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start, # XXX: do we need this?
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w,
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) -> QtGui.QPainterPath:
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2020-12-29 15:15:38 +00:00
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profiler = pg.debug.Profiler(disabled=not pg_profile_enabled())
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2020-12-28 20:32:34 +00:00
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x, y, c = path_arrays_from_ohlc(data, start, bar_gap=w)
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profiler("generate stream with numba")
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# TODO: numba the internals of this!
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path = pg.functions.arrayToQPath(x, y, connect=c)
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profiler("generate path with arrayToQPath")
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return path
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class BarItems(pg.GraphicsObject):
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'''
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"Price range" bars graphics rendered from a OHLC sampled sequence.
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'''
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2021-07-21 19:50:09 +00:00
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sigPlotChanged = QtCore.pyqtSignal(object)
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# 0.5 is no overlap between arms, 1.0 is full overlap
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w: float = 0.43
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def __init__(
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self,
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# scene: 'QGraphicsScene', # noqa
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linked: LinkedSplits,
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plotitem: 'pg.PlotItem', # noqa
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pen_color: str = 'bracket',
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last_bar_color: str = 'bracket',
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name: Optional[str] = None,
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2020-12-28 20:32:34 +00:00
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) -> None:
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2022-03-09 20:00:17 +00:00
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self.linked = linked
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super().__init__()
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2021-09-21 19:27:45 +00:00
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# XXX: for the mega-lulz increasing width here increases draw
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# latency... so probably don't do it until we figure that out.
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self._color = pen_color
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2021-02-21 17:02:20 +00:00
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self.bars_pen = pg.mkPen(hcolor(pen_color), width=1)
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2021-09-20 17:41:53 +00:00
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self.last_bar_pen = pg.mkPen(hcolor(last_bar_color), width=2)
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2022-03-21 22:51:59 +00:00
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self._array = None
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2021-02-12 04:42:17 +00:00
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2020-12-28 20:32:34 +00:00
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# NOTE: this prevents redraws on mouse interaction which is
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# a huge boon for avg interaction latency.
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# TODO: one question still remaining is if this makes trasform
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# interactions slower (such as zooming) and if so maybe if/when
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# we implement a "history" mode for the view we disable this in
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# that mode?
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2021-07-21 19:50:09 +00:00
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self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
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2020-12-28 20:32:34 +00:00
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self._pi = plotitem
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2022-03-11 19:40:17 +00:00
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self.path = QtGui.QPainterPath()
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# not sure if this is actually impoving anything but figured it
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# was worth a shot:
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self.path.reserve(int(100e3 * 6))
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2022-03-09 20:00:17 +00:00
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self._xrange: tuple[int, int]
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self._yrange: tuple[float, float]
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# TODO: don't render the full backing array each time
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# self._path_data = None
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self._last_bar_lines: Optional[tuple[QLineF, ...]] = None
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# track the current length of drawable lines within the larger array
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self.start_index: int = 0
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self.stop_index: int = 0
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2022-03-11 19:40:17 +00:00
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# downsampler-line state
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2022-03-09 16:01:01 +00:00
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self._in_ds: bool = False
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2022-03-11 19:40:17 +00:00
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self._ds_lines: dict[int, FastAppendCurve] = {}
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self._ds_line: Optional[FastAppendCurve] = None
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self._ds: int = 0
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2022-03-21 22:51:59 +00:00
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self._xs_in_px: float = 0
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2022-03-09 16:01:01 +00:00
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2020-12-28 20:32:34 +00:00
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def draw_from_data(
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self,
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2022-03-11 19:40:17 +00:00
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ohlc: np.ndarray,
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start: int = 0,
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2022-03-09 16:01:01 +00:00
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2020-12-28 20:32:34 +00:00
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) -> QtGui.QPainterPath:
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2022-03-09 16:01:01 +00:00
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'''
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Draw OHLC datum graphics from a ``np.ndarray``.
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2020-12-28 20:32:34 +00:00
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This routine is usually only called to draw the initial history.
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2022-03-09 16:01:01 +00:00
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'''
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hist, last = ohlc[:-1], ohlc[-1]
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2021-02-12 04:42:17 +00:00
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self.path = gen_qpath(hist, start, self.w)
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# save graphics for later reference and keep track
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# of current internal "last index"
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2022-03-11 19:40:17 +00:00
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# self.start_index = len(ohlc)
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index = ohlc['index']
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self._xrange = (index[0], index[-1])
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self._yrange = (
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np.nanmax(ohlc['high']),
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np.nanmin(ohlc['low']),
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2020-12-28 20:32:34 +00:00
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)
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# up to last to avoid double draw of last bar
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2021-02-12 04:42:17 +00:00
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self._last_bar_lines = lines_from_ohlc(last, self.w)
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2020-12-28 20:32:34 +00:00
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# trigger render
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# https://doc.qt.io/qt-5/qgraphicsitem.html#update
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self.update()
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2022-03-21 22:51:59 +00:00
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# self.update_ds_line(ohlc)
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# assert self._ds_line
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# self._ds_line.hide()
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2022-03-09 16:01:01 +00:00
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2022-03-21 22:51:59 +00:00
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self._array = ohlc
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return self.path
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2022-03-11 19:40:17 +00:00
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def get_ds_line(
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self,
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ds: Optional[int] = None,
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) -> tuple[FastAppendCurve, int]:
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if ds is None:
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px_vecs = self.pixelVectors()[0]
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if px_vecs:
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xs_in_px = px_vecs.x()
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ds = round(xs_in_px)
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else:
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ds = 0
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# print(f'ds is {ds}')
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return self._ds_lines.get(ds), ds
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def update_ds_line(
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|
self,
|
|
|
|
ohlc: np.ndarray,
|
|
|
|
use_ds: bool = False,
|
|
|
|
|
|
|
|
) -> int:
|
|
|
|
|
|
|
|
if not use_ds:
|
|
|
|
ds = 0
|
|
|
|
else:
|
|
|
|
ds = None
|
|
|
|
|
|
|
|
# determine current potential downsampling value (based on pixel
|
|
|
|
# scaling) and return any existing curve for it.
|
2022-03-17 13:00:59 +00:00
|
|
|
curve, ds = self.get_ds_line(ds=0)
|
2022-03-11 19:40:17 +00:00
|
|
|
|
|
|
|
# curve = self._ds_lines.get(ds)
|
|
|
|
# if current and current != curve:
|
|
|
|
# current.hide()
|
|
|
|
|
|
|
|
# if no curve for this downsample rate yet, allowcate a new one
|
2022-03-17 13:00:59 +00:00
|
|
|
|
|
|
|
# if not self.linked.chart:
|
|
|
|
# return None, None
|
|
|
|
|
|
|
|
index = ohlc['index']
|
2022-03-21 22:51:59 +00:00
|
|
|
|
|
|
|
chart = self.linked.chart
|
|
|
|
if not chart:
|
|
|
|
return
|
|
|
|
else:
|
|
|
|
px_width = round(chart.curve_width_pxs())
|
|
|
|
|
2022-03-17 13:00:59 +00:00
|
|
|
flat = rfn.structured_to_unstructured(
|
|
|
|
ohlc[['open', 'high', 'low', 'close']]
|
|
|
|
).flatten()
|
2022-03-21 22:51:59 +00:00
|
|
|
xpts = np.linspace(
|
|
|
|
start=index[0] - 0.5,
|
|
|
|
stop=index[-1] + 0.5,
|
|
|
|
num=4*len(ohlc),
|
|
|
|
)
|
|
|
|
bins, x, y = ds_m4(
|
|
|
|
xpts,
|
|
|
|
flat,
|
|
|
|
px_width=px_width * 8,
|
|
|
|
)
|
|
|
|
# x4 = np.zeros(y.shape)
|
|
|
|
x = np.broadcast_to(x[:, None], y.shape) #.flatten()
|
|
|
|
x = (x + np.array([-0.5, 0, 0, 0.5])).flatten()
|
|
|
|
|
|
|
|
# x = np.linspace(
|
|
|
|
# start=x[0] - 0.5,
|
|
|
|
# stop=x[-1] + 0.5,
|
|
|
|
# num=4*len(x),
|
2022-03-17 13:00:59 +00:00
|
|
|
# )
|
2022-03-21 22:51:59 +00:00
|
|
|
y = y.flatten()
|
2022-03-17 13:00:59 +00:00
|
|
|
# breakpoint()
|
|
|
|
|
2022-03-21 22:51:59 +00:00
|
|
|
# y, x = hl2mxmn(ohlc)
|
2022-03-17 13:00:59 +00:00
|
|
|
|
|
|
|
# if self._ds_line:
|
|
|
|
# self._pi.removeItem(self._ds_line)
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
if not curve:
|
|
|
|
curve = FastAppendCurve(
|
2022-03-21 22:51:59 +00:00
|
|
|
y=y,
|
|
|
|
# y=mxmn,
|
2022-03-11 19:40:17 +00:00
|
|
|
x=x,
|
2022-03-17 13:00:59 +00:00
|
|
|
name='ds',
|
2022-03-11 19:40:17 +00:00
|
|
|
color=self._color,
|
|
|
|
# color='dad_blue',
|
|
|
|
# use_polyline=True, # pretty sure this is slower?
|
|
|
|
)
|
2022-03-17 13:00:59 +00:00
|
|
|
self._pi.addItem(curve)
|
2022-03-11 19:40:17 +00:00
|
|
|
self._ds_lines[ds] = curve
|
|
|
|
self._ds_line = curve
|
2022-03-21 22:51:59 +00:00
|
|
|
curve.ds = px_width
|
2022-03-11 19:40:17 +00:00
|
|
|
|
|
|
|
# elif ds != self._ds:
|
|
|
|
# print(f'ds changed {self._ds} -> {ds}')
|
|
|
|
|
|
|
|
# TODO: we should be diffing the amount of new data which
|
|
|
|
# needs to be downsampled. Ideally we actually are just
|
|
|
|
# doing all the ds-ing in sibling actors so that the data
|
|
|
|
# can just be read and rendered to graphics on events of our
|
|
|
|
# choice.
|
|
|
|
# diff = do_diff(ohlc, new_bit)
|
2022-03-17 13:00:59 +00:00
|
|
|
# mxmn, x = hl2mxmn(ohlc, downsample_by=ds)
|
|
|
|
|
|
|
|
# always refresh data bounds until we get diffing
|
|
|
|
# working properly, see below..
|
|
|
|
# curve._xrange = curve.dataBounds(ax=0)
|
|
|
|
|
|
|
|
# TODO: we need to do a diff here to determine
|
|
|
|
# which ohlc samples have not yet been converted
|
|
|
|
# to tracer lines.
|
|
|
|
# index = ohlc['index']
|
|
|
|
# istart, istop = curve._xrange
|
|
|
|
# curve.path = None
|
|
|
|
# print(x[-10:])
|
2022-03-21 22:51:59 +00:00
|
|
|
if px_width != curve.ds:
|
|
|
|
print(f'redrawing {curve.ds} -> {px_width}')
|
|
|
|
curve.path = None
|
|
|
|
curve.ds = px_width
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
curve.update_from_array(
|
2022-03-21 22:51:59 +00:00
|
|
|
y=y,
|
2022-03-11 19:40:17 +00:00
|
|
|
x=x,
|
|
|
|
)
|
2022-03-17 13:00:59 +00:00
|
|
|
# curve.update()
|
2022-03-11 19:40:17 +00:00
|
|
|
self._ds = ds
|
|
|
|
|
|
|
|
return curve, ds
|
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
def update_from_array(
|
|
|
|
self,
|
2022-03-11 19:40:17 +00:00
|
|
|
ohlc: np.ndarray,
|
2020-12-28 20:32:34 +00:00
|
|
|
just_history=False,
|
2022-03-09 16:01:01 +00:00
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
) -> None:
|
2022-03-09 16:01:01 +00:00
|
|
|
'''
|
|
|
|
Update the last datum's bar graphic from input data array.
|
2020-12-28 20:32:34 +00:00
|
|
|
|
|
|
|
This routine should be interface compatible with
|
|
|
|
``pg.PlotCurveItem.setData()``. Normally this method in
|
|
|
|
``pyqtgraph`` seems to update all the data passed to the
|
|
|
|
graphics object, and then update/rerender, but here we're
|
|
|
|
assuming the prior graphics havent changed (OHLC history rarely
|
|
|
|
does) so this "should" be simpler and faster.
|
|
|
|
|
|
|
|
This routine should be made (transitively) as fast as possible.
|
2022-03-09 16:01:01 +00:00
|
|
|
|
|
|
|
'''
|
|
|
|
# XXX: always do this?
|
2022-03-21 22:51:59 +00:00
|
|
|
# if self._ds_line:
|
|
|
|
curve, ds = self.update_ds_line(ohlc)
|
2022-03-09 16:01:01 +00:00
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
# index = self.start_index
|
|
|
|
istart, istop = self._xrange
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
index = ohlc['index']
|
2020-12-28 20:32:34 +00:00
|
|
|
first_index, last_index = index[0], index[-1]
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
# length = len(ohlc)
|
2020-12-28 20:32:34 +00:00
|
|
|
prepend_length = istart - first_index
|
|
|
|
append_length = last_index - istop
|
|
|
|
|
|
|
|
flip_cache = False
|
|
|
|
|
|
|
|
# TODO: allow mapping only a range of lines thus
|
|
|
|
# only drawing as many bars as exactly specified.
|
|
|
|
|
|
|
|
if prepend_length:
|
|
|
|
|
|
|
|
# new history was added and we need to render a new path
|
2022-03-11 19:40:17 +00:00
|
|
|
new_bars = ohlc[:prepend_length]
|
2020-12-28 20:32:34 +00:00
|
|
|
prepend_path = gen_qpath(new_bars, 0, self.w)
|
|
|
|
|
|
|
|
# XXX: SOMETHING IS MAYBE FISHY HERE what with the old_path
|
|
|
|
# y value not matching the first value from
|
2022-03-11 19:40:17 +00:00
|
|
|
# ohlc[prepend_length + 1] ???
|
2020-12-28 20:32:34 +00:00
|
|
|
|
|
|
|
# update path
|
|
|
|
old_path = self.path
|
|
|
|
self.path = prepend_path
|
|
|
|
self.path.addPath(old_path)
|
|
|
|
|
|
|
|
# trigger redraw despite caching
|
|
|
|
self.prepareGeometryChange()
|
|
|
|
|
|
|
|
if append_length:
|
|
|
|
# generate new lines objects for updatable "current bar"
|
2022-03-11 19:40:17 +00:00
|
|
|
self._last_bar_lines = lines_from_ohlc(ohlc[-1], self.w)
|
2020-12-28 20:32:34 +00:00
|
|
|
|
|
|
|
# generate new graphics to match provided array
|
|
|
|
# path appending logic:
|
|
|
|
# we need to get the previous "current bar(s)" for the time step
|
|
|
|
# and convert it to a sub-path to append to the historical set
|
2022-03-11 19:40:17 +00:00
|
|
|
# new_bars = ohlc[istop - 1:istop + append_length - 1]
|
|
|
|
new_bars = ohlc[-append_length - 1:-1]
|
2020-12-28 20:32:34 +00:00
|
|
|
append_path = gen_qpath(new_bars, 0, self.w)
|
|
|
|
self.path.moveTo(float(istop - self.w), float(new_bars[0]['open']))
|
|
|
|
self.path.addPath(append_path)
|
|
|
|
|
|
|
|
# trigger redraw despite caching
|
|
|
|
self.prepareGeometryChange()
|
2021-07-21 20:16:06 +00:00
|
|
|
self.setCacheMode(QtWidgets.QGraphicsItem.NoCache)
|
2020-12-28 20:32:34 +00:00
|
|
|
flip_cache = True
|
|
|
|
|
|
|
|
self._xrange = first_index, last_index
|
|
|
|
|
|
|
|
# last bar update
|
2022-03-11 19:40:17 +00:00
|
|
|
i, o, h, l, last, v = ohlc[-1][
|
2020-12-28 20:32:34 +00:00
|
|
|
['index', 'open', 'high', 'low', 'close', 'volume']
|
|
|
|
]
|
|
|
|
# assert i == self.start_index - 1
|
2021-02-21 17:02:20 +00:00
|
|
|
# assert i == last_index
|
2020-12-28 20:32:34 +00:00
|
|
|
body, larm, rarm = self._last_bar_lines
|
|
|
|
|
|
|
|
# XXX: is there a faster way to modify this?
|
|
|
|
rarm.setLine(rarm.x1(), last, rarm.x2(), last)
|
2021-02-21 17:02:20 +00:00
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
# writer is responsible for changing open on "first" volume of bar
|
|
|
|
larm.setLine(larm.x1(), o, larm.x2(), o)
|
|
|
|
|
|
|
|
if l != h: # noqa
|
2021-02-21 17:02:20 +00:00
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
if body is None:
|
|
|
|
body = self._last_bar_lines[0] = QLineF(i, l, i, h)
|
|
|
|
else:
|
|
|
|
# update body
|
|
|
|
body.setLine(i, l, i, h)
|
|
|
|
|
|
|
|
# XXX: pretty sure this is causing an issue where the bar has
|
|
|
|
# a large upward move right before the next sample and the body
|
|
|
|
# is getting set to None since the next bar is flat but the shm
|
|
|
|
# array index update wasn't read by the time this code runs. Iow
|
|
|
|
# we're doing this removal of the body for a bar index that is
|
|
|
|
# now out of date / from some previous sample. It's weird
|
|
|
|
# though because i've seen it do this to bars i - 3 back?
|
|
|
|
|
|
|
|
self.update()
|
|
|
|
|
|
|
|
if flip_cache:
|
2021-07-21 20:16:06 +00:00
|
|
|
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
|
2020-12-28 20:32:34 +00:00
|
|
|
|
2022-03-21 22:51:59 +00:00
|
|
|
self._array = ohlc
|
|
|
|
|
2020-12-28 20:32:34 +00:00
|
|
|
def boundingRect(self):
|
|
|
|
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
|
|
|
|
|
|
|
|
# TODO: Can we do rect caching to make this faster
|
|
|
|
# like `pg.PlotCurveItem` does? In theory it's just
|
|
|
|
# computing max/min stuff again like we do in the udpate loop
|
|
|
|
# anyway. Not really sure it's necessary since profiling already
|
|
|
|
# shows this method is faf.
|
|
|
|
|
|
|
|
# boundingRect _must_ indicate the entire area that will be
|
|
|
|
# drawn on or else we will get artifacts and possibly crashing.
|
|
|
|
# (in this case, QPicture does all the work of computing the
|
|
|
|
# bounding rect for us).
|
|
|
|
|
|
|
|
# apparently this a lot faster says the docs?
|
|
|
|
# https://doc.qt.io/qt-5/qpainterpath.html#controlPointRect
|
|
|
|
hb = self.path.controlPointRect()
|
2021-02-21 17:02:20 +00:00
|
|
|
hb_tl, hb_br = hb.topLeft(), hb.bottomRight()
|
|
|
|
|
|
|
|
# need to include last bar height or BR will be off
|
|
|
|
mx_y = hb_br.y()
|
|
|
|
mn_y = hb_tl.y()
|
2020-12-28 20:32:34 +00:00
|
|
|
|
2022-03-21 22:51:59 +00:00
|
|
|
last_lines = self._last_bar_lines
|
|
|
|
if last_lines:
|
|
|
|
body_line = self._last_bar_lines[0]
|
|
|
|
if body_line:
|
|
|
|
mx_y = max(mx_y, max(body_line.y1(), body_line.y2()))
|
|
|
|
mn_y = min(mn_y, min(body_line.y1(), body_line.y2()))
|
2020-12-28 20:32:34 +00:00
|
|
|
|
2021-02-21 17:02:20 +00:00
|
|
|
return QtCore.QRectF(
|
2020-12-28 20:32:34 +00:00
|
|
|
|
|
|
|
# top left
|
2021-02-21 17:02:20 +00:00
|
|
|
QPointF(
|
|
|
|
hb_tl.x(),
|
|
|
|
mn_y,
|
|
|
|
),
|
|
|
|
|
|
|
|
# bottom right
|
|
|
|
QPointF(
|
|
|
|
hb_br.x() + 1,
|
|
|
|
mx_y,
|
|
|
|
)
|
2020-12-28 20:32:34 +00:00
|
|
|
|
|
|
|
)
|
2021-09-21 19:27:45 +00:00
|
|
|
|
2022-03-09 16:01:01 +00:00
|
|
|
def maybe_paint_line(
|
|
|
|
self,
|
|
|
|
x_gt: float = 2.,
|
|
|
|
|
|
|
|
) -> bool:
|
|
|
|
'''
|
|
|
|
Call this when you want to stop drawing individual
|
|
|
|
bars and instead use a ``FastAppendCurve`` intepolation
|
|
|
|
line (normally when the width of a bar (aka 1.0 in the x)
|
|
|
|
is less then a pixel width on the device).
|
|
|
|
|
|
|
|
'''
|
2022-03-21 22:51:59 +00:00
|
|
|
if not self._ds_line:
|
|
|
|
return False
|
|
|
|
|
2022-03-09 16:01:01 +00:00
|
|
|
# this is the ``float`` value of the "number of x units" (in
|
|
|
|
# view coords) that a pixel spans.
|
2022-03-11 19:40:17 +00:00
|
|
|
xvec = self.pixelVectors()[0]
|
|
|
|
if xvec:
|
|
|
|
xs_in_px = xvec.x()
|
|
|
|
else:
|
|
|
|
xs_in_px = self._ds_line.pixelVectors()[0].x()
|
|
|
|
|
2022-03-21 22:51:59 +00:00
|
|
|
if xs_in_px != self._xs_in_px and self._array is not None:
|
|
|
|
self.update_ds_line(self._array)
|
|
|
|
self._xs_in_px = xs_in_px
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
linked = self.linked
|
|
|
|
|
2022-03-09 16:01:01 +00:00
|
|
|
if (
|
|
|
|
not self._in_ds
|
|
|
|
and xs_in_px >= x_gt
|
|
|
|
):
|
|
|
|
# TODO: a `.ui()` log level?
|
2022-03-09 20:00:17 +00:00
|
|
|
log.info(f'downsampling to line graphic {linked.symbol.key}')
|
2022-03-09 16:01:01 +00:00
|
|
|
self.hide()
|
2022-03-11 19:40:17 +00:00
|
|
|
# XXX: is this actually any faster?
|
|
|
|
self._pi.removeItem(self)
|
|
|
|
|
|
|
|
curve, ds = self.get_ds_line(ds=0)
|
|
|
|
last_curve = self._ds_line
|
|
|
|
assert last_curve is curve
|
|
|
|
self._pi.addItem(curve)
|
|
|
|
curve.show()
|
|
|
|
curve.update()
|
|
|
|
|
2022-03-09 20:00:17 +00:00
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|
|
linked.graphics_cycle()
|
2022-03-11 19:40:17 +00:00
|
|
|
self._in_ds = True
|
2022-03-09 16:01:01 +00:00
|
|
|
return True
|
|
|
|
|
|
|
|
elif (
|
|
|
|
self._in_ds
|
|
|
|
and xs_in_px < x_gt
|
|
|
|
):
|
2022-03-09 20:00:17 +00:00
|
|
|
log.info(f'showing bars graphic {linked.symbol.key}')
|
2022-03-11 19:40:17 +00:00
|
|
|
|
|
|
|
curve, ds = self.get_ds_line(ds=0)
|
|
|
|
last_curve = self._ds_line
|
|
|
|
assert last_curve is curve
|
|
|
|
curve.hide()
|
|
|
|
self._pi.removeItem(curve)
|
|
|
|
|
|
|
|
# XXX: is this actually any faster?
|
|
|
|
self._pi.addItem(self)
|
2022-03-09 16:01:01 +00:00
|
|
|
self.show()
|
2022-03-09 20:00:17 +00:00
|
|
|
self.update()
|
2022-03-11 19:40:17 +00:00
|
|
|
|
|
|
|
self._in_ds = False
|
2022-03-09 20:00:17 +00:00
|
|
|
linked.graphics_cycle()
|
2022-03-11 19:40:17 +00:00
|
|
|
|
2022-03-09 20:00:17 +00:00
|
|
|
return True
|
|
|
|
|
2022-03-11 19:40:17 +00:00
|
|
|
# elif (
|
|
|
|
# self._in_ds
|
|
|
|
# and self._ds != ds
|
|
|
|
# ):
|
|
|
|
# # curve = self._ds_lines.get(ds)
|
|
|
|
# # assert self._ds_line is not curve
|
|
|
|
# if self._ds_line and self._ds_line is not curve:
|
|
|
|
# self._ds_line.hide()
|
|
|
|
|
|
|
|
# if curve:
|
|
|
|
# # self._pi.removeItem(curve)
|
|
|
|
# curve.show()
|
|
|
|
# curve.update()
|
|
|
|
|
|
|
|
# self._ds_line = curve
|
|
|
|
# self._ds = ds
|
|
|
|
# linked.graphics_cycle()
|
|
|
|
# return True
|
|
|
|
|
2022-03-09 20:00:17 +00:00
|
|
|
# no curve change
|
|
|
|
return False
|
2022-03-09 16:01:01 +00:00
|
|
|
|
2021-09-21 19:27:45 +00:00
|
|
|
def paint(
|
|
|
|
self,
|
|
|
|
p: QtGui.QPainter,
|
|
|
|
opt: QtWidgets.QStyleOptionGraphicsItem,
|
|
|
|
w: QtWidgets.QWidget
|
2022-03-09 16:01:01 +00:00
|
|
|
|
2021-09-21 19:27:45 +00:00
|
|
|
) -> None:
|
|
|
|
|
2022-03-09 16:01:01 +00:00
|
|
|
if self._in_ds:
|
|
|
|
return
|
|
|
|
|
|
|
|
profiler = pg.debug.Profiler(
|
|
|
|
disabled=not pg_profile_enabled(),
|
|
|
|
delayed=False,
|
|
|
|
)
|
2021-09-21 19:27:45 +00:00
|
|
|
|
|
|
|
# p.setCompositionMode(0)
|
|
|
|
|
|
|
|
# TODO: one thing we could try here is pictures being drawn of
|
|
|
|
# a fixed count of bars such that based on the viewbox indices we
|
|
|
|
# only draw the "rounded up" number of "pictures worth" of bars
|
|
|
|
# as is necesarry for what's in "view". Not sure if this will
|
|
|
|
# lead to any perf gains other then when zoomed in to less bars
|
|
|
|
# in view.
|
|
|
|
p.setPen(self.last_bar_pen)
|
|
|
|
p.drawLines(*tuple(filter(bool, self._last_bar_lines)))
|
|
|
|
profiler('draw last bar')
|
|
|
|
|
|
|
|
p.setPen(self.bars_pen)
|
|
|
|
p.drawPath(self.path)
|
|
|
|
profiler('draw history path')
|
2022-03-09 16:01:01 +00:00
|
|
|
profiler.finish()
|
|
|
|
|
|
|
|
# NOTE: for testing paint frequency as throttled by display loop.
|
|
|
|
# now = time.time()
|
|
|
|
# global _last_draw
|
|
|
|
# print(f'DRAW RATE {1/(now - _last_draw)}')
|
|
|
|
# _last_draw = now
|
|
|
|
|
|
|
|
|
|
|
|
# import time
|
|
|
|
# _last_draw: float = time.time()
|