piker/piker/ui/_render.py

1251 lines
34 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/>.
'''
High level streaming graphics primitives.
This is an intermediate layer which associates real-time low latency
graphics primitives with underlying FSP related data structures for fast
incremental update.
'''
from __future__ import annotations
from typing import (
Optional,
TYPE_CHECKING,
)
import msgspec
import numpy as np
import pyqtgraph as pg
from PyQt5.QtGui import QPainterPath
from PyQt5.QtCore import QLineF
from ..data._sharedmem import (
ShmArray,
)
from ..data.feed import Flume
from ..data._formatters import (
IncrementalFormatter,
OHLCBarsFmtr, # Plain OHLC renderer
OHLCBarsAsCurveFmtr, # OHLC converted to line
StepCurveFmtr, # "step" curve (like for vlm)
)
from ..data._pathops import (
xy_downsample,
slice_from_time,
)
from ._ohlc import (
BarItems,
)
from ._curve import (
Curve,
StepCurve,
FlattenedOHLC,
)
from ..log import get_logger
from .._profile import (
Profiler,
pg_profile_enabled,
)
if TYPE_CHECKING:
from ._interaction import ChartView
from ._chart import ChartPlotWidget
log = get_logger(__name__)
def render_baritems(
viz: Viz,
graphics: BarItems,
read: tuple[
int, int, np.ndarray,
int, int, np.ndarray,
],
profiler: Profiler,
**kwargs,
) -> None:
'''
Graphics management logic for a ``BarItems`` object.
Mostly just logic to determine when and how to downsample an OHLC
lines curve into a flattened line graphic and when to display one
graphic or the other.
TODO: this should likely be moved into some kind of better abstraction
layer, if not a `Renderer` then something just above it?
'''
bars = graphics
# if no source data renderer exists create one.
self = viz
show_bars: bool = False
r = self._src_r
if not r:
show_bars = True
# OHLC bars path renderer
r = self._src_r = Renderer(
viz=self,
fmtr=OHLCBarsFmtr(
shm=viz.shm,
viz=viz,
),
)
ds_curve_r = Renderer(
viz=self,
fmtr=OHLCBarsAsCurveFmtr(
shm=viz.shm,
viz=viz,
),
)
curve = FlattenedOHLC(
name=f'{viz.name}_ds_ohlc',
color=bars._color,
)
viz.ds_graphics = curve
curve.hide()
self.plot.addItem(curve)
# baseline "line" downsampled OHLC curve that should
# kick on only when we reach a certain uppx threshold.
self._render_table = (ds_curve_r, curve)
ds_r, curve = self._render_table
# print(
# f'r: {r.fmtr.xy_slice}\n'
# f'ds_r: {ds_r.fmtr.xy_slice}\n'
# )
# do checks for whether or not we require downsampling:
# - if we're **not** downsampling then we simply want to
# render the bars graphics curve and update..
# - if instead we are in a downsamplig state then we to
x_gt = 6 * (r.fmtr.index_step_size or 1)
uppx = curve.x_uppx()
# print(f'BARS UPPX: {uppx}')
in_line = should_line = curve.isVisible()
if (
in_line
and uppx < x_gt
):
# print('FLIPPING TO BARS')
should_line = False
viz._in_ds = False
elif (
not in_line
and uppx >= x_gt
):
# print('FLIPPING TO LINE')
should_line = True
viz._in_ds = True
profiler(f'ds logic complete line={should_line}')
# do graphics updates
if should_line:
r = ds_r
graphics = curve
profiler('updated ds curve')
else:
graphics = bars
if show_bars:
bars.show()
changed_to_line = False
if (
not in_line
and should_line
):
# change to line graphic
log.info(
f'downsampling to line graphic {self.name}'
)
bars.hide()
curve.show()
curve.update()
changed_to_line = True
elif in_line and not should_line:
# change to bars graphic
log.info(f'showing bars graphic {self.name}')
curve.hide()
bars.show()
bars.update()
# breakpoint()
return (
graphics,
r,
{'read_from_key': False},
should_line,
changed_to_line,
)
class Viz(msgspec.Struct): # , frozen=True):
'''
(Data) "Visualization" compound type which wraps a real-time
shm array stream with displayed graphics (curves, charts)
for high level access and control as well as efficient incremental
update.
The intention is for this type to eventually be capable of shm-passing
of incrementally updated graphics stream data between actors.
'''
name: str
plot: pg.PlotItem
_shm: ShmArray
flume: Flume
graphics: Curve | BarItems
# for tracking y-mn/mx for y-axis auto-ranging
yrange: tuple[float, float] = None
# in some cases a viz may want to change its
# graphical "type" or, "form" when downsampling, to
# start this is only ever an interpolation line.
ds_graphics: Optional[Curve] = None
is_ohlc: bool = False
render: bool = True # toggle for display loop
# _index_field: str = 'index'
_index_field: str = 'time'
# downsampling state
_last_uppx: float = 0
_in_ds: bool = False
_index_step: float | None = None
# map from uppx -> (downsampled data, incremental graphics)
_src_r: Optional[Renderer] = None
_render_table: dict[
Optional[int],
tuple[Renderer, pg.GraphicsItem],
] = (None, None)
# cache of y-range values per x-range input.
_mxmns: dict[tuple[int, int], tuple[float, float]] = {}
@property
def shm(self) -> ShmArray:
return self._shm
@property
def index_field(self) -> str:
return self._index_field
def index_step(
self,
reset: bool = False,
) -> float:
if self._index_step is None:
index = self.shm.array[self.index_field]
self._index_step = index[-1] - index[-2]
return self._index_step
def maxmin(
self,
lbar: int,
rbar: int,
) -> Optional[tuple[float, float]]:
'''
Compute the cached max and min y-range values for a given
x-range determined by ``lbar`` and ``rbar`` or ``None``
if no range can be determined (yet).
'''
# TODO: hash the slice instead maybe?
# https://stackoverflow.com/a/29980872
rkey = (round(lbar), round(rbar))
cached_result = self._mxmns.get(rkey)
do_print = False
if cached_result:
if do_print:
print(
f'{self.name} CACHED maxmin\n'
f'{rkey} -> {cached_result}'
)
return cached_result
shm = self.shm
if shm is None:
return None
arr = shm.array
# get relative slice indexes into array
if self.index_field == 'time':
read_slc = slice_from_time(
arr,
start_t=lbar,
stop_t=rbar,
)
slice_view = arr[read_slc]
else:
ifirst = arr[0]['index']
slice_view = arr[
lbar - ifirst:
(rbar - ifirst) + 1
]
if not slice_view.size:
log.warning(f'{self.name} no maxmin in view?')
return None
elif self.yrange:
mxmn = self.yrange
if do_print:
print(
f'{self.name} M4 maxmin:\n'
f'{rkey} -> {mxmn}'
)
else:
if self.is_ohlc:
ylow = np.min(slice_view['low'])
yhigh = np.max(slice_view['high'])
else:
view = slice_view[self.name]
ylow = np.min(view)
yhigh = np.max(view)
mxmn = ylow, yhigh
if (
do_print
# and self.index_step() > 1
):
s = 3
print(
f'{self.name} MANUAL ohlc={self.is_ohlc} maxmin:\n'
f'{rkey} -> {mxmn}\n'
f'read_slc: {read_slc}\n'
f'abs_slc: {slice_view["index"]}\n'
f'first {s}:\n{slice_view[:s]}\n'
f'last {s}:\n{slice_view[-s:]}\n'
)
# cache result for input range
assert mxmn
self._mxmns[rkey] = mxmn
return mxmn
def view_range(self) -> tuple[int, int]:
'''
Return the start and stop x-indexes for the managed ``ViewBox``.
'''
vr = self.plot.viewRect()
return (
vr.left(),
vr.right(),
)
def bars_range(self) -> tuple[int, int, int, int]:
'''
Return a range tuple for the left-view, left-datum, right-datum
and right-view x-indices.
'''
l, start, datum_start, datum_stop, stop, r = self.datums_range()
return l, datum_start, datum_stop, r
def datums_range(
self,
view_range: None | tuple[float, float] = None,
index_field: str | None = None,
array: None | np.ndarray = None,
) -> tuple[
int, int, int, int, int, int
]:
'''
Return a range tuple for the datums present in view.
'''
l, r = view_range or self.view_range()
index_field: str = index_field or self.index_field
if index_field == 'index':
l, r = round(l), round(r)
if array is None:
array = self.shm.array
index = array[index_field]
first = round(index[0])
last = round(index[-1])
# first and last datums in view determined by
# l / r view range.
leftmost = round(l)
rightmost = round(r)
# invalid view state
if (
r < l
or l < 0
or r < 0
or (l > last and r > last)
):
leftmost = first
rightmost = last
else:
rightmost = max(
min(last, rightmost),
first,
)
leftmost = min(
max(first, leftmost),
last,
rightmost - 1,
)
assert leftmost < rightmost
return (
l, # left x-in-view
first, # first datum
leftmost,
rightmost,
last, # last_datum
r, # right-x-in-view
)
def read(
self,
array_field: Optional[str] = None,
index_field: str | None = None,
profiler: None | Profiler = None,
) -> tuple[
int, int, np.ndarray,
int, int, np.ndarray,
]:
'''
Read the underlying shm array buffer and
return the data plus indexes for the first
and last
which has been written to.
'''
index_field: str = index_field or self.index_field
vr = l, r = self.view_range()
# readable data
array = self.shm.array
if profiler:
profiler('self.shm.array READ')
(
l,
ifirst,
lbar,
rbar,
ilast,
r,
) = self.datums_range(
view_range=vr,
index_field=index_field,
array=array,
)
# if rbar < lbar:
# breakpoint()
if profiler:
profiler('self.datums_range()')
abs_slc = slice(ifirst, ilast)
# TODO: support time slicing
if index_field == 'time':
read_slc = slice_from_time(
array,
start_t=lbar,
stop_t=rbar,
)
# TODO: maybe we should return this from the slicer call
# above?
in_view = array[read_slc]
if in_view.size:
abs_indx = in_view['index']
abs_slc = slice(
int(abs_indx[0]),
int(abs_indx[-1]),
)
if profiler:
profiler(
'`slice_from_time('
f'start_t={lbar}'
f'stop_t={rbar})'
)
# array-index slicing
# TODO: can we do time based indexing using arithmetic presuming
# a uniform time stamp step size?
else:
# get read-relative indices adjusting for master shm index.
lbar_i = max(l, ifirst) - ifirst
rbar_i = min(r, ilast) - ifirst
# NOTE: the slice here does NOT include the extra ``+ 1``
# BUT the ``in_view`` slice DOES..
read_slc = slice(lbar_i, rbar_i)
in_view = array[lbar_i: rbar_i + 1]
# XXX: same as ^
# to_draw = array[lbar - ifirst:(rbar - ifirst) + 1]
if profiler:
profiler('index arithmetic for slicing')
if array_field:
array = array[array_field]
return (
# abs indices + full data set
abs_slc.start,
abs_slc.stop,
array,
# relative (read) indices + in view data
read_slc.start,
read_slc.stop,
in_view,
)
def update_graphics(
self,
use_vr: bool = True,
render: bool = True,
array_key: Optional[str] = None,
profiler: Optional[Profiler] = None,
do_append: bool = True,
**kwargs,
) -> pg.GraphicsObject:
'''
Read latest datums from shm and render to (incrementally)
render to graphics.
'''
profiler = Profiler(
msg=f'Viz.update_graphics() for {self.name}',
disabled=not pg_profile_enabled(),
ms_threshold=4,
# ms_threshold=ms_slower_then,
)
# shm read and slice to view
read = (
xfirst, xlast, src_array,
ivl, ivr, in_view,
) = self.read(profiler=profiler)
profiler('read src shm data')
graphics = self.graphics
if (
not in_view.size
or not render
):
# print('exiting early')
return graphics
should_redraw: bool = False
should_line: bool = False
rkwargs = {}
# TODO: probably specialize ``Renderer`` types instead of
# these logic checks?
# - put these blocks into a `.load_renderer()` meth?
# - consider a OHLCRenderer, StepCurveRenderer, Renderer?
r = self._src_r
if isinstance(graphics, BarItems):
# XXX: special case where we change out graphics
# to a line after a certain uppx threshold.
(
graphics,
r,
rkwargs,
should_line,
changed_to_line,
) = render_baritems(
self,
graphics,
read,
profiler,
**kwargs,
)
should_redraw = changed_to_line or not should_line
self._in_ds = should_line
elif not r:
if isinstance(graphics, StepCurve):
r = self._src_r = Renderer(
viz=self,
fmtr=StepCurveFmtr(
shm=self.shm,
viz=self,
),
)
# TODO: append logic inside ``.render()`` isn't
# correct yet for step curves.. remove this to see it.
should_redraw = True
else:
r = self._src_r
if not r:
# just using for ``.diff()`` atm..
r = self._src_r = Renderer(
viz=self,
fmtr=IncrementalFormatter(
shm=self.shm,
viz=self,
),
)
# ``Curve`` derivative case(s):
array_key = array_key or self.name
# print(array_key)
# ds update config
new_sample_rate: bool = False
should_ds: bool = r._in_ds
showing_src_data: bool = not r._in_ds
# downsampling incremental state checking
# check for and set std m4 downsample conditions
uppx = graphics.x_uppx()
uppx_diff = (uppx - self._last_uppx)
profiler(f'diffed uppx {uppx}')
if (
uppx > 1
and abs(uppx_diff) >= 1
):
log.debug(
f'{array_key} sampler change: {self._last_uppx} -> {uppx}'
)
self._last_uppx = uppx
new_sample_rate = True
showing_src_data = False
should_ds = True
should_redraw = True
elif (
uppx <= 2
and self._in_ds
):
# we should de-downsample back to our original
# source data so we clear our path data in prep
# to generate a new one from original source data.
new_sample_rate = True
should_ds = False
should_redraw = True
showing_src_data = True
# MAIN RENDER LOGIC:
# - determine in view data and redraw on range change
# - determine downsampling ops if needed
# - (incrementally) update ``QPainterPath``
out = r.render(
read,
array_key,
profiler,
uppx=uppx,
# use_vr=True,
# TODO: better way to detect and pass this?
# if we want to eventually cache renderers for a given uppx
# we should probably use this as a key + state?
should_redraw=should_redraw,
new_sample_rate=new_sample_rate,
should_ds=should_ds,
showing_src_data=showing_src_data,
do_append=do_append,
**rkwargs,
)
if not out:
log.warning(f'{self.name} failed to render!?')
return graphics
path, data, reset = out
# if self.yrange:
# print(f'viz {self.name} yrange from m4: {self.yrange}')
# XXX: SUPER UGGGHHH... without this we get stale cache
# graphics that don't update until you downsampler again..
# if reset:
# with graphics.reset_cache():
# # assign output paths to graphicis obj
# graphics.path = r.path
# graphics.fast_path = r.fast_path
# # XXX: we don't need this right?
# # graphics.draw_last_datum(
# # path,
# # src_array,
# # reset,
# # array_key,
# # )
# # graphics.update()
# # profiler('.update()')
# else:
# assign output paths to graphicis obj
graphics.path = r.path
graphics.fast_path = r.fast_path
graphics.draw_last_datum(
path,
src_array,
reset,
array_key,
index_field=self.index_field,
)
graphics.update()
profiler('.update()')
# TODO: does this actuallly help us in any way (prolly should
# look at the source / ask ogi). I think it avoid artifacts on
# wheel-scroll downsampling curve updates?
# TODO: is this ever better?
# graphics.prepareGeometryChange()
# profiler('.prepareGeometryChange()')
# track downsampled state
self._in_ds = r._in_ds
return graphics
def draw_last(
self,
array_key: Optional[str] = None,
only_last_uppx: bool = False,
) -> None:
# shm read and slice to view
(
xfirst, xlast, src_array,
ivl, ivr, in_view,
) = self.read()
g = self.graphics
array_key = array_key or self.name
x, y = g.draw_last_datum(
g.path,
src_array,
False, # never reset path
array_key,
self.index_field,
)
# the renderer is downsampling we choose
# to always try and updadte a single (interpolating)
# line segment that spans and tries to display
# the las uppx's worth of datums.
# we only care about the last pixel's
# worth of data since that's all the screen
# can represent on the last column where
# the most recent datum is being drawn.
if self._in_ds or only_last_uppx:
dsg = self.ds_graphics or self.graphics
# XXX: pretty sure we don't need this?
# if isinstance(g, Curve):
# with dsg.reset_cache():
uppx = self._last_uppx
y = y[-uppx:]
ymn, ymx = y.min(), y.max()
# print(f'drawing uppx={uppx} mxmn line: {ymn}, {ymx}')
try:
iuppx = x[-uppx]
except IndexError:
# we're less then an x-px wide so just grab the start
# datum index.
iuppx = x[0]
dsg._last_line = QLineF(
iuppx, ymn,
x[-1], ymx,
)
# print(f'updating DS curve {self.name}')
dsg.update()
else:
# print(f'updating NOT DS curve {self.name}')
g.update()
def curve_width_pxs(
self,
) -> float:
'''
Return the width of the current datums in view in pixel units.
'''
_, lbar, rbar, _ = self.bars_range()
return self.view.mapViewToDevice(
QLineF(
lbar, 0,
rbar, 0
)
).length()
def default_view(
self,
bars_from_y: int = int(616 * 3/8),
y_offset: int = 0,
do_ds: bool = True,
) -> None:
'''
Set the plot's viewbox to a "default" startup setting where
we try to show the underlying data range sanely.
'''
shm: ShmArray = self.shm
array: np.ndarray = shm.array
view: ChartView = self.plot.vb
(
vl,
first_datum,
datum_start,
datum_stop,
last_datum,
vr,
) = self.datums_range(array=array)
# invalid case: view is not ordered correctly
# return and expect caller to sort it out.
if (
vl > vr
):
log.warning(
'Skipping `.default_view()` viewbox not initialized..\n'
f'l -> r: {vl} -> {vr}\n'
f'datum_start -> datum_stop: {datum_start} -> {datum_stop}\n'
)
return
chartw: ChartPlotWidget = self.plot.getViewWidget()
index_field = self.index_field
step = self.index_step()
if index_field == 'time':
# transform l -> r view range values into
# data index domain to determine how view
# should be reset to better match data.
read_slc = slice_from_time(
array,
start_t=vl,
stop_t=vr,
step=step,
)
else:
read_slc = slice(0, datum_stop - datum_start + 1)
index_iv = array[index_field][read_slc]
uppx: float = self.graphics.x_uppx() or 1
# l->r distance in scene units, no larger then data span
data_diff = last_datum - first_datum
rl_diff = min(vr - vl, data_diff)
# orient by offset from the y-axis including
# space to compensate for the L1 labels.
if not y_offset:
# we get the L1 spread label "length" in view coords and
# make sure it doesn't colide with the right-most datum in
# view.
_, l1_len = chartw.pre_l1_xs()
offset = l1_len/(uppx*step)
# if no L1 label is present just offset by a few datums
# from the y-axis.
if chartw._max_l1_line_len == 0:
offset += 3*step
else:
offset = (y_offset * step) + uppx*step
# align right side of view to the rightmost datum + the selected
# offset from above.
r_reset = last_datum + offset
# no data is in view so check for the only 2 sane cases:
# - entire view is LEFT of data
# - entire view is RIGHT of data
if index_iv.size == 0:
log.warning(f'No data in view for {vl} -> {vr}')
# 2 cases either the view is to the left or right of the
# data set.
if (
vl <= first_datum
and vr <= first_datum
):
l_reset = first_datum
elif (
vl >= last_datum
and vr >= last_datum
):
l_reset = r_reset - rl_diff
else:
raise RuntimeError(f'Unknown view state {vl} -> {vr}')
else:
# maintain the l->r view distance
l_reset = r_reset - rl_diff
# remove any custom user yrange setttings
if chartw._static_yrange == 'axis':
chartw._static_yrange = None
view.setXRange(
min=l_reset,
max=r_reset,
padding=0,
)
if do_ds:
view.maybe_downsample_graphics()
view._set_yrange()
# caller should do this!
# self.linked.graphics_cycle()
class Renderer(msgspec.Struct):
viz: Viz
fmtr: IncrementalFormatter
# output graphics rendering, the main object
# processed in ``QGraphicsObject.paint()``
path: Optional[QPainterPath] = None
fast_path: Optional[QPainterPath] = None
# XXX: just ideas..
# called on the final data (transform) output to convert
# to "graphical data form" a format that can be passed to
# the ``.draw()`` implementation.
# graphics_t: Optional[Callable[ShmArray, np.ndarray]] = None
# graphics_t_shm: Optional[ShmArray] = None
# path graphics update implementation methods
# prepend_fn: Optional[Callable[QPainterPath, QPainterPath]] = None
# append_fn: Optional[Callable[QPainterPath, QPainterPath]] = None
# downsampling state
_last_uppx: float = 0
_in_ds: bool = False
def draw_path(
self,
x: np.ndarray,
y: np.ndarray,
connect: str | np.ndarray = 'all',
path: Optional[QPainterPath] = None,
redraw: bool = False,
) -> QPainterPath:
path_was_none = path is None
if redraw and path:
path.clear()
# TODO: avoid this?
if self.fast_path:
self.fast_path.clear()
# profiler('cleared paths due to `should_redraw=True`')
path = pg.functions.arrayToQPath(
x,
y,
connect=connect,
finiteCheck=False,
# reserve mem allocs see:
# - https://doc.qt.io/qt-5/qpainterpath.html#reserve
# - https://doc.qt.io/qt-5/qpainterpath.html#capacity
# - https://doc.qt.io/qt-5/qpainterpath.html#clear
# XXX: right now this is based on had hoc checks on a
# hidpi 3840x2160 4k monitor but we should optimize for
# the target display(s) on the sys.
# if no_path_yet:
# graphics.path.reserve(int(500e3))
# path=path, # path re-use / reserving
)
# avoid mem allocs if possible
if path_was_none:
path.reserve(path.capacity())
return path
def render(
self,
new_read,
array_key: str,
profiler: Profiler,
uppx: float = 1,
# redraw and ds flags
should_redraw: bool = False,
new_sample_rate: bool = False,
should_ds: bool = False,
showing_src_data: bool = True,
do_append: bool = True,
use_fpath: bool = True,
# only render datums "in view" of the ``ChartView``
use_vr: bool = True,
read_from_key: bool = True,
) -> list[QPainterPath]:
'''
Render the current graphics path(s)
There are (at least) 3 stages from source data to graphics data:
- a data transform (which can be stored in additional shm)
- a graphics transform which converts discrete basis data to
a `float`-basis view-coords graphics basis. (eg. ``ohlc_flatten()``,
``step_path_arrays_from_1d()``, etc.)
- blah blah blah (from notes)
'''
# TODO: can the renderer just call ``Viz.read()`` directly?
# unpack latest source data read
fmtr = self.fmtr
(
_,
_,
array,
ivl,
ivr,
in_view,
) = new_read
# xy-path data transform: convert source data to a format
# able to be passed to a `QPainterPath` rendering routine.
fmt_out = fmtr.format_to_1d(
new_read,
array_key,
profiler,
read_src_from_key=read_from_key,
slice_to_inview=use_vr,
)
# no history in view case
if not fmt_out:
# XXX: this might be why the profiler only has exits?
return
(
x_1d,
y_1d,
connect,
prepend_length,
append_length,
view_changed,
# append_tres,
) = fmt_out
# redraw conditions
if (
prepend_length > 0
or new_sample_rate
or view_changed
# NOTE: comment this to try and make "append paths"
# work below..
or append_length > 0
):
should_redraw = True
path = self.path
fast_path = self.fast_path
reset = False
self.viz.yrange = None
# redraw the entire source data if we have either of:
# - no prior path graphic rendered or,
# - we always intend to re-render the data only in view
if (
path is None
or should_redraw
):
# print(f"{self.viz.name} -> REDRAWING BRUH")
if new_sample_rate and showing_src_data:
log.info(f'DEDOWN -> {array_key}')
self._in_ds = False
elif should_ds and uppx > 1:
x_1d, y_1d, ymn, ymx = xy_downsample(
x_1d,
y_1d,
uppx,
)
self.viz.yrange = ymn, ymx
# print(f'{self.viz.name} post ds: ymn, ymx: {ymn},{ymx}')
reset = True
profiler(f'FULL PATH downsample redraw={should_ds}')
self._in_ds = True
path = self.draw_path(
x=x_1d,
y=y_1d,
connect=connect,
path=path,
redraw=True,
)
profiler(
'generated fresh path. '
f'(should_redraw: {should_redraw} '
f'should_ds: {should_ds} new_sample_rate: {new_sample_rate})'
)
# TODO: get this piecewise prepend working - right now it's
# giving heck on vwap...
# elif prepend_length:
# prepend_path = pg.functions.arrayToQPath(
# x[0:prepend_length],
# y[0:prepend_length],
# connect='all'
# )
# # swap prepend path in "front"
# old_path = graphics.path
# graphics.path = prepend_path
# # graphics.path.moveTo(new_x[0], new_y[0])
# graphics.path.connectPath(old_path)
elif (
append_length > 0
and do_append
):
print(f'{array_key} append len: {append_length}')
# new_x = x_1d[-append_length - 2:] # slice_to_head]
# new_y = y_1d[-append_length - 2:] # slice_to_head]
profiler('sliced append path')
# (
# x_1d,
# y_1d,
# connect,
# ) = append_tres
profiler(
f'diffed array input, append_length={append_length}'
)
# if should_ds and uppx > 1:
# new_x, new_y = xy_downsample(
# new_x,
# new_y,
# uppx,
# )
# profiler(f'fast path downsample redraw={should_ds}')
append_path = self.draw_path(
x=x_1d,
y=y_1d,
connect=connect,
path=fast_path,
)
profiler('generated append qpath')
if use_fpath:
# print(f'{self.viz.name}: FAST PATH')
# an attempt at trying to make append-updates faster..
if fast_path is None:
fast_path = append_path
# fast_path.reserve(int(6e3))
else:
fast_path.connectPath(append_path)
size = fast_path.capacity()
profiler(f'connected fast path w size: {size}')
print(
f"append_path br: {append_path.boundingRect()}\n"
f"path size: {size}\n"
f"append_path len: {append_path.length()}\n"
f"fast_path len: {fast_path.length()}\n"
)
# graphics.path.moveTo(new_x[0], new_y[0])
# path.connectPath(append_path)
# XXX: lol this causes a hang..
# graphics.path = graphics.path.simplified()
else:
size = path.capacity()
profiler(f'connected history path w size: {size}')
path.connectPath(append_path)
self.path = path
self.fast_path = fast_path
return self.path, array, reset