pikers
/
piker
3
0
Fork 0
Code Issues 5 Pull Requests 7 Packages Projects Releases Wiki Activity

Handle "target-is-shorter-then-pinned" case 

When the target pinning curve (by default, the dispersion major) is
shorter then the pinned curve, we need to make sure we find still find
the x-intersect for computing returns scalars! Use `Viz.i_from_t()` to
accomplish this as well and, augment that method with a `return_y: bool`
to allow the caller to also retrieve the equivalent y-value at the
requested input time `t: float` for convenience.

Also tweak a few more internals around the 'loglin_ref_to_curve'
method:
- only solve / adjust for the above case when the major's xref is
  detected as being "earlier" in time the current minor's.
- pop the major viz entry from the overlay table ahead of time to avoid
  a needless iteration and simplify the transform calc phase loop to
  avoid handling that needless cycle B)
- add much better "organized" debug printing with more clear headers
  around which "phase"/loop the message pertains and well as more
  explicit details in terms of x and y-range values on each cycle of
  each loop.
log_linearized_curve_overlays
Tyler Goodlet 2023-03-06 19:03:04 -05:00
parent 4bb580ae60
commit 51f3733487
1 changed files with 219 additions and 149 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

368
piker/ui/view_mode.py
View File

@ -26,6 +26,7 @@ from typing import (
) )
import numpy as np import numpy as np
import pendulum
import pyqtgraph as pg import pyqtgraph as pg
from ..data.types import Struct from ..data.types import Struct
@ -247,10 +248,11 @@ def overlay_viewlists(
continue continue
if debug_print: if debug_print:
divstr = '#'*46
print( print(
f'BEGIN UX GRAPHICS CYCLE: @{chart_name}\n' f'BEGIN UX GRAPHICS CYCLE: @{chart_name}\n'
+ +
'#'*66 divstr
+ +
'\n' '\n'
) )
@ -353,11 +355,16 @@ def overlay_viewlists(
disp = r_up - r_down disp = r_up - r_down
msg = ( msg = (
f'=> {viz.name}@{chart_name}\n' f'Viz[{viz.name}][{key}]: @{chart_name}\n'
f' .yrange = {viz.vs.yrange}\n'
f' .xrange = {viz.vs.xrange}\n\n'
f'start_t: {start_t}\n'
f'y_ref: {y_ref}\n' f'y_ref: {y_ref}\n'
f'down disp: {r_down}\n' f'ymn: {ymn}\n'
f'up disp: {r_up}\n' f'ymx: {ymx}\n'
f'full disp: {disp}\n' f'r_up disp: {r_up}\n'
f'r_down: {r_down}\n'
f'(full) disp: {disp}\n'
) )
profiler(msg) profiler(msg)
if debug_print: if debug_print:
@ -378,10 +385,7 @@ def overlay_viewlists(
dnt.start_t = in_view[0]['time'] dnt.start_t = in_view[0]['time']
dnt.y_val = ymn dnt.y_val = ymn
msg = f'NEW DOWN: {viz.name}@{chart_name} r: {r_down}' profiler(f'NEW DOWN: {viz.name}@{chart_name} r: {r_down}')
profiler(msg)
if debug_print:
print(msg)
else: else:
# minor in the down swing range so check that if # minor in the down swing range so check that if
# we apply the current rng to the minor that it # we apply the current rng to the minor that it
@ -439,10 +443,7 @@ def overlay_viewlists(
upt.in_view = in_view upt.in_view = in_view
upt.start_t = in_view[0]['time'] upt.start_t = in_view[0]['time']
upt.y_val = ymx upt.y_val = ymx
msg = f'NEW UP: {viz.name}@{chart_name} r: {r_up}' profiler(f'NEW UP: {viz.name}@{chart_name} r: {r_up}')
profiler(msg)
if debug_print:
print(msg)
else: else:
intersect = intersect_from_longer( intersect = intersect_from_longer(
@ -535,21 +536,32 @@ def overlay_viewlists(
# no overlay transforming is needed. # no overlay transforming is needed.
continue continue
profiler('`Viz` curve first pass complete\n') profiler('`Viz` curve (first) scan phase complete\n')
if debug_print:
# print overlay table in descending dispersion order
msg = 'overlays by disp:\n'
for disp in reversed(overlay_table):
entry = overlay_table[disp]
msg += f'{entry[1].name}: {disp}\n'
print(msg)
r_up_mx: float r_up_mx: float
r_dn_mn: float r_dn_mn: float
mx_disp = max(overlay_table) mx_disp = max(overlay_table)
mx_entry = overlay_table[mx_disp]
if debug_print:
# print overlay table in descending dispersion order
msg = 'overlays in dispersion order:\n'
for i, disp in enumerate(reversed(overlay_table)):
entry = overlay_table[disp]
msg += f' [{i}] {disp}: {entry[1].name}\n'
print(
'TRANSFORM PHASE' + '-'*100 + '\n\n'
+
msg
)
if method == 'loglin_ref_to_curve':
mx_entry = overlay_table.pop(mx_disp)
else:
# TODO: for pin to first-in-view we need to no pop this from the
# table, but can we simplify below code even more?
mx_entry = overlay_table[mx_disp]
( (
mx_view, # viewbox mx_view, # viewbox
mx_viz, # viz mx_viz, # viz
@ -557,19 +569,28 @@ def overlay_viewlists(
mx_ymn, mx_ymn,
mx_ymx, mx_ymx,
_, # read_slc _, # read_slc
_, # in_view array mx_in_view, # in_view array
r_up_mx, r_up_mx,
r_dn_mn, r_dn_mn,
) = mx_entry ) = mx_entry
mx_time = mx_in_view['time']
mx_xref = mx_time[0]
# conduct "log-linearized multi-plot" range transform
# calculations for curves detected as overlays in the previous
# loop:
# -> iterate all curves Ci in dispersion-measure sorted order
# going from smallest swing to largest via the
# ``overlay_table: dict``,
# -> match on overlay ``method: str`` provided by caller,
# -> calc y-ranges from each curve's time series and store in
# a final table ``scaled: dict`` for final application in the
# scaling loop; the final phase.
scaled: dict[ scaled: dict[
float, float,
tuple[Viz, float, float, float, float] tuple[Viz, float, float, float, float]
] = {} ] = {}
# conduct "log-linearized multi-plot" scalings for all groups
# -> iterate all curves Ci in dispersion-measure sorted order
# going from smallest swing to largest.
for full_disp in reversed(overlay_table): for full_disp in reversed(overlay_table):
( (
view, view,
@ -601,125 +622,160 @@ def overlay_viewlists(
# scaling to all curves, including the major-target, # scaling to all curves, including the major-target,
# which were previously scaled before. # which were previously scaled before.
case 'loglin_ref_to_curve': case 'loglin_ref_to_curve':
if viz is not mx_viz:
# calculate y-range scalars from the earliest # calculate y-range scalars from the earliest
# "intersect" datum with the target-major # "intersect" datum with the target-major
# (dispersion) curve so as to "pin" the curves # (dispersion) curve so as to "pin" the curves
# in the y-domain at that spot. # in the y-domain at that spot.
# NOTE: there are 2 cases for un-matched support
# in x-domain (where one series is shorter then the
# other):
# => major is longer then minor:
# - need to scale the minor *from* the first
# supported datum in both series.
#
# => major is shorter then minor:
# - need to scale the minor *from* the first
# supported datum in both series (the
# intersect x-value) but using the
# intersecting point from the minor **not**
# its first value in view!
yref = y_start
if mx_xref > xref:
( (
i_start, xref_pin,
y_ref_major, yref,
r_major_up_here, ) = viz.i_from_t(
r_major_down_here, mx_xref,
) = mx_viz.scalars_from_index(xref) return_y=True,
)
ymn = y_start * (1 + r_major_down_here) xref_pin_dt = pendulum.from_timestamp(xref_pin)
ymx = y_start * (1 + r_major_up_here) xref = mx_xref
# if this curve's y-range is detected as **not
# being in view** after applying the
# target-major's transform, adjust the
# target-major curve's range to (log-linearly)
# include it (the extra missing range) by
# adjusting the y-mxmn to this new y-range and
# applying the inverse transform of the minor
# back on the target-major (and possibly any
# other previously-scaled-to-target/major, minor
# curves).
if ymn >= y_min:
ymn = y_min
r_dn_minor = (ymn - y_start) / y_start
# rescale major curve's y-max to include new
# range increase required by **this minor**.
mx_ymn = y_ref_major * (1 + r_dn_minor)
mx_viz.vs.yrange = mx_ymn, mx_viz.vs.yrange[1]
# rescale all already scaled curves to new
# increased range for this side as
# determined by ``y_min`` staying in view;
# re-set the `scaled: dict` entry to
# ensure that this minor curve will be
# entirely in view.
# TODO: re updating already-scaled minor curves
# - is there a faster way to do this by
# mutating state on some object instead?
for _view in scaled:
_viz, _yref, _ymn, _ymx, _xref = scaled[_view]
(
_,
_,
_,
r_major_down_here,
) = mx_viz.scalars_from_index(_xref)
new_ymn = _yref * (1 + r_major_down_here)
scaled[_view] = (
_viz, _yref, new_ymn, _ymx, _xref)
if debug_print:
print(
f'RESCALE {_viz.name} ymn -> {new_ymn}'
f'RESCALE MAJ ymn -> {mx_ymn}'
)
# same as above but for minor being out-of-range
# on the upside.
if ymx <= y_max:
ymx = y_max
r_up_minor = (ymx - y_start) / y_start
mx_ymx = y_ref_major * (1 + r_up_minor)
mx_viz.vs.yrange = mx_viz.vs.yrange[0], mx_ymx
for _view in scaled:
_viz, _yref, _ymn, _ymx, _xref = scaled[_view]
(
_,
_,
r_major_up_here,
_,
) = mx_viz.scalars_from_index(_xref)
new_ymx = _yref * (1 + r_major_up_here)
scaled[_view] = (
_viz, _yref, _ymn, new_ymx, _xref)
if debug_print:
print(
f'RESCALE {_viz.name} ymn -> {new_ymx}'
)
# register all overlays for a final pass where we
# apply all pinned-curve y-range transform scalings.
scaled[view] = (viz, y_start, ymn, ymx, xref)
if debug_print: if debug_print:
print( print(
f'Minor SCALARS {viz.name}:\n' 'MAJOR SHORTER!!!\n'
f'xref: {xref}\n' f'xref: {xref}\n'
f'dn: {r_major_down_here}\n' f'xref_pin: {xref_pin}\n'
f'up: {r_major_up_here}\n' f'xref_pin-dt: {xref_pin_dt}\n'
f'ymn: {ymn}\n' f'yref@xref_pin: {yref}\n'
f'ymx: {ymx}\n'
) )
# target/dispersion MAJOR case (
else: i_start,
y_ref_major,
r_up_from_major_at_xref,
r_down_from_major_at_xref,
) = mx_viz.scalars_from_index(xref)
ymn = yref * (1 + r_down_from_major_at_xref)
ymx = yref * (1 + r_up_from_major_at_xref)
# if this curve's y-range is detected as **not
# being in view** after applying the
# target-major's transform, adjust the
# target-major curve's range to (log-linearly)
# include it (the extra missing range) by
# adjusting the y-mxmn to this new y-range and
# applying the inverse transform of the minor
# back on the target-major (and possibly any
# other previously-scaled-to-target/major, minor
# curves).
if ymn >= y_min:
ymn = y_min
r_dn_minor = (ymn - yref) / yref
# rescale major curve's y-max to include new
# range increase required by **this minor**.
mx_ymn = y_ref_major * (1 + r_dn_minor)
mx_viz.vs.yrange = mx_ymn, mx_viz.vs.yrange[1]
if debug_print: if debug_print:
print( print(
f'MAJOR SCALARS {viz.name}:\n' f'RESCALE {viz.name} ymn -> {y_min}'
f'dn: {r_dn_mn}\n' f'RESCALE MAJ ymn -> {mx_ymn}'
f'up: {r_up_mx}\n' )
f'mx_ymn: {mx_ymn}\n' # rescale all already scaled curves to new
f'mx_ymx: {mx_ymx}\n' # increased range for this side as
# determined by ``y_min`` staying in view;
# re-set the `scaled: dict` entry to
# ensure that this minor curve will be
# entirely in view.
# TODO: re updating already-scaled minor curves
# - is there a faster way to do this by
# mutating state on some object instead?
for _view in scaled:
_viz, _yref, _ymn, _ymx, _xref = scaled[_view]
(
_,
_,
_,
r_down_from_out_of_range,
) = mx_viz.scalars_from_index(_xref)
new_ymn = _yref * (1 + r_down_from_out_of_range)
scaled[_view] = (
_viz, _yref, new_ymn, _ymx, _xref)
if debug_print:
print(
f'RESCALE {_viz.name} ymn -> {new_ymn}'
f'RESCALE MAJ ymn -> {mx_ymn}'
)
# same as above but for minor being out-of-range
# on the upside.
if ymx <= y_max:
ymx = y_max
r_up_minor = (ymx - yref) / yref
mx_ymx = y_ref_major * (1 + r_up_minor)
mx_viz.vs.yrange = mx_viz.vs.yrange[0], mx_ymx
if debug_print:
print(
f'RESCALE {viz.name} ymn -> {y_max}'
f'RESCALE MAJ ymx -> {mx_ymx}'
) )
# target/major curve's mxmn may have been for _view in scaled:
# reset by minor overlay steps above. _viz, _yref, _ymn, _ymx, _xref = scaled[_view]
ymn = mx_ymn (
ymx = mx_ymx _,
_,
r_up_from_out_of_range,
_,
) = mx_viz.scalars_from_index(_xref)
new_ymx = _yref * (1 + r_up_from_out_of_range)
scaled[_view] = (
_viz, _yref, _ymn, new_ymx, _xref)
if debug_print:
print(
f'RESCALE {_viz.name} ymn -> {new_ymx}'
)
# register all overlays for a final pass where we
# apply all pinned-curve y-range transform scalings.
scaled[view] = (viz, yref, ymn, ymx, xref)
if debug_print:
print(
f'Viz[{viz.name}]: @ {chart_name}\n'
f' .yrange = {viz.vs.yrange}\n'
f' .xrange = {viz.vs.xrange}\n\n'
f'xref: {xref}\n'
f'xref-dt: {pendulum.from_timestamp(xref)}\n'
f'y_min: {y_min}\n'
f'y_max: {y_max}\n'
f'RESCALING\n'
f'r dn: {r_down_from_major_at_xref}\n'
f'r up: {r_up_from_major_at_xref}\n'
f'ymn: {ymn}\n'
f'ymx: {ymx}\n'
)
# Pin all curves by their first datum in view to all # Pin all curves by their first datum in view to all
# others such that each curve's earliest datum provides the # others such that each curve's earliest datum provides the
@ -742,6 +798,22 @@ def overlay_viewlists(
) )
if scaled: if scaled:
if debug_print:
print(
'SCALING PHASE' + '-'*100 + '\n\n'
'_________MAJOR INFO___________\n'
f'SIGMA MAJOR C: {mx_viz.name} -> {mx_disp}\n'
f'UP MAJOR C: {upt.viz.name} with disp: {upt.rng}\n'
f'DOWN MAJOR C: {dnt.viz.name} with disp: {dnt.rng}\n'
f'xref: {mx_xref}\n'
f'xref-dt: {pendulum.from_timestamp(mx_xref)}\n'
f'dn: {r_dn_mn}\n'
f'up: {r_up_mx}\n'
f'mx_ymn: {mx_ymn}\n'
f'mx_ymx: {mx_ymx}\n'
'------------------------------'
)
for ( for (
view, view,
(viz, yref, ymn, ymx, xref) (viz, yref, ymn, ymx, xref)
@ -757,32 +829,30 @@ def overlay_viewlists(
if debug_print: if debug_print:
print( print(
'------------------------------\n' '_________MINOR INFO___________\n'
f'LOGLIN SCALE CYCLE: {viz.name}@{chart_name}\n' f'Viz[{viz.name}]: @ {chart_name}\n'
f'UP MAJOR C: {upt.viz.name} with disp: {upt.rng}\n' f' .yrange = {viz.vs.yrange}\n'
f'DOWN MAJOR C: {dnt.viz.name} with disp: {dnt.rng}\n' f' .xrange = {viz.vs.xrange}\n\n'
f'SIGMA MAJOR C: {mx_viz.name} -> {mx_disp}\n' f'xref: {xref}\n'
f'xref for MINOR: {xref}\n' f'xref-dt: {pendulum.from_timestamp(xref)}\n'
f'y_start: {y_start}\n' f'y_start: {y_start}\n'
f'y min: {y_min}\n' f'y min: {y_min}\n'
f'y max: {y_max}\n' f'y max: {y_max}\n'
f'T scaled ymn: {ymn}\n' f'T scaled ymn: {ymn}\n'
f'T scaled ymx: {ymx}\n' f'T scaled ymx: {ymx}\n\n'
'------------------------------\n' '--------------------------------\n'
f'Viz[{viz.name}]:\n'
f' .yrange = {viz.vs.yrange}\n'
f' .xrange = {viz.vs.xrange}\n'
) )
# finally, scale major curve to possibly re-scaled/modified # finally, scale the major target/dispersion curve to
# values # the (possibly re-scaled/modified) values were set in
# transform phase loop.
mx_view._set_yrange(yrange=(mx_ymn, mx_ymx)) mx_view._set_yrange(yrange=(mx_ymn, mx_ymx))
if debug_print: if debug_print:
print( print(
f'END UX GRAPHICS CYCLE: @{chart_name}\n' f'END UX GRAPHICS CYCLE: @{chart_name}\n'
+ +
'#'*66 divstr
+ +
'\n' '\n'
) )