Add option to sort stats fields

macos_ci_fix
elsid 9 months ago
parent faded22e41
commit 9019a815eb
No known key found for this signature in database
GPG Key ID: 4DE04C198CBA7625

@ -9,6 +9,7 @@ import click
import collections
import matplotlib.pyplot
import numpy
import operator
import os.path
import re
import statistics
@ -62,11 +63,13 @@ import termtables
help='Threshold for hist_over.')
@click.option('--show_common_path_prefix', is_flag=True,
help='Show common path prefix when applied to multiple files.')
@click.option('--stats_sort_by', type=str, default=None, multiple=True,
help='Sort stats table by given fields (source, key, sum, min, max etc).')
@click.argument('path', type=click.Path(), nargs=-1)
def main(print_keys, regexp_match, timeseries, hist, hist_ratio, stdev_hist, plot, stats, precision,
timeseries_sum, stats_sum, begin_frame, end_frame, path,
commulative_timeseries, commulative_timeseries_sum, frame_number_name,
hist_threshold, threshold_name, threshold_value, show_common_path_prefix):
hist_threshold, threshold_name, threshold_value, show_common_path_prefix, stats_sort_by):
sources = {v: list(read_data(v)) for v in path} if path else {'stdin': list(read_data(None))}
if not show_common_path_prefix and len(sources) > 1:
longest_common_prefix = os.path.commonprefix(list(sources.keys()))
@ -98,7 +101,7 @@ def main(print_keys, regexp_match, timeseries, hist, hist_ratio, stdev_hist, plo
if plot:
draw_plots(sources=frames, plots=plot)
if stats:
print_stats(sources=frames, keys=matching_keys(stats), stats_sum=stats_sum, precision=precision)
print_stats(sources=frames, keys=matching_keys(stats), stats_sum=stats_sum, precision=precision, sort_by=stats_sort_by)
if hist_threshold:
draw_hist_threshold(sources=frames, keys=matching_keys(hist_threshold), begin_frame=begin_frame,
threshold_name=threshold_name, threshold_value=threshold_value)
@ -259,7 +262,7 @@ def draw_plots(sources, plots):
fig.canvas.manager.set_window_title('plots')
def print_stats(sources, keys, stats_sum, precision):
def print_stats(sources, keys, stats_sum, precision, sort_by):
stats = list()
for name, frames in sources.items():
for key in keys:
@ -267,6 +270,8 @@ def print_stats(sources, keys, stats_sum, precision):
if stats_sum:
stats.append(make_stats(source=name, key='sum', values=sum_multiple(frames, keys), precision=precision))
metrics = list(stats[0].keys())
if sort_by:
stats.sort(key=operator.itemgetter(*sort_by))
termtables.print(
[list(v.values()) for v in stats],
header=metrics,

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