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Add option to show timeseries delta graph to osg_stats.py

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To see spikes in a single frame and correlate them with frame duration.
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elsid 2023-12-22 00:58:29 +01:00
parent 51b05647e2
commit 03a7643301
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GPG Key ID: 4DE04C198CBA7625
1 changed files with 23 additions and 1 deletions
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24
scripts/osg_stats.py
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@ -27,6 +27,8 @@ import termtables
help='Show a graph for given metric over time.') help='Show a graph for given metric over time.')
@click.option('--commulative_timeseries', type=str, multiple=True, @click.option('--commulative_timeseries', type=str, multiple=True,
help='Show a graph for commulative sum of a given metric over time.') help='Show a graph for commulative sum of a given metric over time.')
@click.option('--timeseries_delta', type=str, multiple=True,
help='Show a graph for delta between neighbouring frames of a given metric over time.')
@click.option('--hist', type=str, multiple=True, @click.option('--hist', type=str, multiple=True,
help='Show a histogram for all values of given metric.') help='Show a histogram for all values of given metric.')
@click.option('--hist_ratio', nargs=2, type=str, multiple=True, @click.option('--hist_ratio', nargs=2, type=str, multiple=True,
@ -47,6 +49,8 @@ import termtables
help='Add a graph to timeseries for a sum per frame of all given timeseries metrics.') help='Add a graph to timeseries for a sum per frame of all given timeseries metrics.')
@click.option('--commulative_timeseries_sum', is_flag=True, @click.option('--commulative_timeseries_sum', is_flag=True,
help='Add a graph to timeseries for a sum per frame of all given commulative timeseries.') help='Add a graph to timeseries for a sum per frame of all given commulative timeseries.')
@click.option('--timeseries_delta_sum', is_flag=True,
help='Add a graph to timeseries for a sum per frame of all given timeseries delta.')
@click.option('--stats_sum', is_flag=True, @click.option('--stats_sum', is_flag=True,
help='Add a row to stats table for a sum per frame of all given stats metrics.') help='Add a row to stats table for a sum per frame of all given stats metrics.')
@click.option('--begin_frame', type=int, default=0, @click.option('--begin_frame', type=int, default=0,
@ -69,7 +73,8 @@ import termtables
def main(print_keys, regexp_match, timeseries, hist, hist_ratio, stdev_hist, plot, stats, precision, def main(print_keys, regexp_match, timeseries, hist, hist_ratio, stdev_hist, plot, stats, precision,
timeseries_sum, stats_sum, begin_frame, end_frame, path, timeseries_sum, stats_sum, begin_frame, end_frame, path,
commulative_timeseries, commulative_timeseries_sum, frame_number_name, commulative_timeseries, commulative_timeseries_sum, frame_number_name,
hist_threshold, threshold_name, threshold_value, show_common_path_prefix, stats_sort_by): hist_threshold, threshold_name, threshold_value, show_common_path_prefix, stats_sort_by,
timeseries_delta, timeseries_delta_sum):
sources = {v: list(read_data(v)) for v in path} if path else {'stdin': list(read_data(None))} 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: if not show_common_path_prefix and len(sources) > 1:
longest_common_prefix = os.path.commonprefix(list(sources.keys())) longest_common_prefix = os.path.commonprefix(list(sources.keys()))
@ -92,6 +97,9 @@ def main(print_keys, regexp_match, timeseries, hist, hist_ratio, stdev_hist, plo
if commulative_timeseries: if commulative_timeseries:
draw_commulative_timeseries(sources=frames, keys=matching_keys(commulative_timeseries), add_sum=commulative_timeseries_sum, draw_commulative_timeseries(sources=frames, keys=matching_keys(commulative_timeseries), add_sum=commulative_timeseries_sum,
begin_frame=begin_frame, end_frame=end_frame) begin_frame=begin_frame, end_frame=end_frame)
if timeseries_delta:
draw_timeseries_delta(sources=frames, keys=matching_keys(timeseries_delta), add_sum=timeseries_delta_sum,
begin_frame=begin_frame, end_frame=end_frame)
if hist: if hist:
draw_hists(sources=frames, keys=matching_keys(hist)) draw_hists(sources=frames, keys=matching_keys(hist))
if hist_ratio: if hist_ratio:
@ -186,6 +194,20 @@ def draw_commulative_timeseries(sources, keys, add_sum, begin_frame, end_frame):
fig.canvas.manager.set_window_title('commulative_timeseries') fig.canvas.manager.set_window_title('commulative_timeseries')
def draw_timeseries_delta(sources, keys, add_sum, begin_frame, end_frame):
fig, ax = matplotlib.pyplot.subplots()
x = numpy.array(range(begin_frame + 1, end_frame))
for name, frames in sources.items():
for key in keys:
ax.plot(x, numpy.diff(frames[key]), label=f'{key}:{name}')
if add_sum:
ax.plot(x, numpy.diff(numpy.sum(list(frames[k] for k in keys), axis=0)), label=f'sum:{name}',
linestyle='--')
ax.grid(True)
ax.legend()
fig.canvas.manager.set_window_title('timeseries_delta')
def draw_hists(sources, keys): def draw_hists(sources, keys):
fig, ax = matplotlib.pyplot.subplots() fig, ax = matplotlib.pyplot.subplots()
bins = numpy.linspace( bins = numpy.linspace(