|
|
|
@ -27,6 +27,8 @@ import termtables
|
|
|
|
|
help='Show a graph for given metric over time.')
|
|
|
|
|
@click.option('--commulative_timeseries', type=str, multiple=True,
|
|
|
|
|
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,
|
|
|
|
|
help='Show a histogram for all values of given metric.')
|
|
|
|
|
@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.')
|
|
|
|
|
@click.option('--commulative_timeseries_sum', is_flag=True,
|
|
|
|
|
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,
|
|
|
|
|
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,
|
|
|
|
@ -69,7 +73,8 @@ import termtables
|
|
|
|
|
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, 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))}
|
|
|
|
|
if not show_common_path_prefix and len(sources) > 1:
|
|
|
|
|
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:
|
|
|
|
|
draw_commulative_timeseries(sources=frames, keys=matching_keys(commulative_timeseries), add_sum=commulative_timeseries_sum,
|
|
|
|
|
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:
|
|
|
|
|
draw_hists(sources=frames, keys=matching_keys(hist))
|
|
|
|
|
if hist_ratio:
|
|
|
|
@ -135,7 +143,7 @@ def collect_per_frame(sources, keys, begin_frame, end_frame, frame_number_name):
|
|
|
|
|
end_frame = min(end_frame, max(v[-1][frame_number_name] for v in sources.values()) + 1)
|
|
|
|
|
for name in sources.keys():
|
|
|
|
|
for key in keys:
|
|
|
|
|
result[name][key] = [0] * (end_frame - begin_frame)
|
|
|
|
|
result[name][key] = [None] * (end_frame - begin_frame)
|
|
|
|
|
for name, frames in sources.items():
|
|
|
|
|
for frame in frames:
|
|
|
|
|
number = frame[frame_number_name]
|
|
|
|
@ -146,7 +154,14 @@ def collect_per_frame(sources, keys, begin_frame, end_frame, frame_number_name):
|
|
|
|
|
result[name][key][index] = frame[key]
|
|
|
|
|
for name in result.keys():
|
|
|
|
|
for key in keys:
|
|
|
|
|
result[name][key] = numpy.array(result[name][key])
|
|
|
|
|
prev = 0.0
|
|
|
|
|
values = result[name][key]
|
|
|
|
|
for i in range(len(values)):
|
|
|
|
|
if values[i] is not None:
|
|
|
|
|
prev = values[i]
|
|
|
|
|
else:
|
|
|
|
|
values[i] = prev
|
|
|
|
|
result[name][key] = numpy.array(values)
|
|
|
|
|
return result, begin_frame, end_frame
|
|
|
|
|
|
|
|
|
|
|
|
|
|
@ -186,6 +201,20 @@ def draw_commulative_timeseries(sources, keys, add_sum, begin_frame, end_frame):
|
|
|
|
|
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):
|
|
|
|
|
fig, ax = matplotlib.pyplot.subplots()
|
|
|
|
|
bins = numpy.linspace(
|
|
|
|
@ -328,7 +357,7 @@ def make_stats(source, key, values, precision):
|
|
|
|
|
sum=fixed_float(sum(values), precision),
|
|
|
|
|
mean=fixed_float(statistics.mean(values), precision),
|
|
|
|
|
median=fixed_float(statistics.median(values), precision),
|
|
|
|
|
stdev=fixed_float(statistics.stdev(values), precision),
|
|
|
|
|
stdev=fixed_float(statistics.stdev(float(v) for v in values), precision),
|
|
|
|
|
q95=fixed_float(numpy.quantile(values, 0.95), precision),
|
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|