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def process_raw(filepath, *args):
metrics = []
dump = gfxinfo_get_last_dump(filepath)
seen_stats = False
for line in dump.split('\n'):
if seen_stats and not line.strip():
break
elif line.startswith('Janky frames:'):
text = line.split(': ')[-1]
val_text, pc_text = text.split('(')
metrics.append(DerivedMetric('janks', numeric(val_text.strip()), 'count'))
metrics.append(DerivedMetric('janks_pc', numeric(pc_text[:-3]), 'percent'))
elif ' percentile: ' in line:
ptile, val_text = line.split(' percentile: ')
name = 'render_time_{}_ptile'.format(ptile)
value = numeric(val_text.strip()[:-2])
metrics.append(DerivedMetric(name, value, 'time_ms'))
elif line.startswith('Number '):
name_text, val_text = line.strip().split(': ')
name = name_text[7:].lower().replace(' ', '_')
value = numeric(val_text)
metrics.append(DerivedMetric(name, value, 'count'))
else:
continue
seen_stats = True
return metrics
metrics = []
dump = gfxinfo_get_last_dump(filepath)
seen_stats = False
for line in dump.split('\n'):
if seen_stats and not line.strip():
break
elif line.startswith('Janky frames:'):
text = line.split(': ')[-1]
val_text, pc_text = text.split('(')
metrics.append(DerivedMetric('janks', numeric(val_text.strip()), 'count'))
metrics.append(DerivedMetric('janks_pc', numeric(pc_text[:-3]), 'percent'))
elif ' percentile: ' in line:
ptile, val_text = line.split(' percentile: ')
name = 'render_time_{}_ptile'.format(ptile)
value = numeric(val_text.strip()[:-2])
metrics.append(DerivedMetric(name, value, 'time_ms'))
elif line.startswith('Number '):
name_text, val_text = line.strip().split(': ')
name = name_text[7:].lower().replace(' ', '_')
value = numeric(val_text)
metrics.append(DerivedMetric(name, value, 'count'))
else:
continue
seen_stats = True
return metrics
fps = 1e9 * frame_count / (VSYNC_INTERVAL * total_vsyncs)
janks = self._calc_janks(filtered_vsyncs_to_compose)
not_at_vsync = self._calc_not_at_vsync(vsyncs_to_compose)
else:
fps = 0
frame_count = 0
janks = 0
not_at_vsync = 0
janks_pc = 0 if frame_count == 0 else janks * 100 / frame_count
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file),
DerivedMetric('janks', janks, 'count'),
DerivedMetric('janks_pc', janks_pc, 'percent'),
DerivedMetric('missed_vsync', not_at_vsync, 'count')]
if site in should_calculate_energy:
if count == 0:
energy_results[site]['start'] = 0
energy_results[site]['end'] = 0
elif use_timestamp:
energy_results[site]['end'] += entry.value * (row_ts - last_ts)
else:
energy_results[site]['end'] += entry.value * (1 /
measurements_csv.sample_rate_hz)
# Calculate final measurements
derived_measurements = []
for site in energy_results:
total_energy = energy_results[site]['end'] - energy_results[site]['start']
name = '{}_total_energy'.format(site)
derived_measurements.append(DerivedMetric(name, total_energy, MEASUREMENT_TYPES['energy']))
for site in power_results:
power = power_results[site] / (count + 1) #pylint: disable=undefined-loop-variable
name = '{}_average_power'.format(site)
derived_measurements.append(DerivedMetric(name, power, MEASUREMENT_TYPES['power']))
return derived_measurements
janks = self._calc_janks(filtered_vsyncs_to_compose)
not_at_vsync = self._calc_not_at_vsync(vsyncs_to_compose)
else:
fps = 0
frame_count = 0
janks = 0
not_at_vsync = 0
janks_pc = 0 if frame_count == 0 else janks * 100 / frame_count
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file),
DerivedMetric('janks', janks, 'count'),
DerivedMetric('janks_pc', janks_pc, 'percent'),
DerivedMetric('missed_vsync', not_at_vsync, 'count')]
per_frame_fps.append([pff])
if frame_count:
duration = end_vsync - start_vsync
fps = (1e9 * frame_count) / float(duration)
else:
duration = 0
fps = 0
csv_file = self._get_csv_file_name(measurements_csv.path)
with csvwriter(csv_file) as writer:
writer.writerow(['fps'])
writer.writerows(per_frame_fps)
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file)]
per_frame_fps = per_frame_fps[keep_filter]
per_frame_fps.name = 'fps'
frame_count = data.index.size
if frame_count > 1:
duration = data.Vsync_time_ns.iloc[-1] - data.Vsync_time_ns.iloc[0]
fps = (1e9 * frame_count) / float(duration)
else:
duration = 0
fps = 0
csv_file = self._get_csv_file_name(measurements_csv.path)
per_frame_fps.to_csv(csv_file, index=False, header=True)
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file)]
if total_vsyncs:
fps = 1e9 * frame_count / (VSYNC_INTERVAL * total_vsyncs)
janks = self._calc_janks(filtered_vsyncs_to_compose)
not_at_vsync = self._calc_not_at_vsync(vsyncs_to_compose)
else:
fps = 0
frame_count = 0
janks = 0
not_at_vsync = 0
janks_pc = 0 if frame_count == 0 else janks * 100 / frame_count
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file),
DerivedMetric('janks', janks, 'count'),
DerivedMetric('janks_pc', janks_pc, 'percent'),
DerivedMetric('missed_vsync', not_at_vsync, 'count')]
frame_count = filtered_vsyncs_to_compose.size
if total_vsyncs:
fps = 1e9 * frame_count / (VSYNC_INTERVAL * total_vsyncs)
janks = self._calc_janks(filtered_vsyncs_to_compose)
not_at_vsync = self._calc_not_at_vsync(vsyncs_to_compose)
else:
fps = 0
frame_count = 0
janks = 0
not_at_vsync = 0
janks_pc = 0 if frame_count == 0 else janks * 100 / frame_count
return [DerivedMetric('fps', fps, 'fps'),
DerivedMetric('total_frames', frame_count, 'frames'),
MeasurementsCsv(csv_file),
DerivedMetric('janks', janks, 'count'),
DerivedMetric('janks_pc', janks_pc, 'percent'),
DerivedMetric('missed_vsync', not_at_vsync, 'count')]
energy_results[site]['end'] += entry.value * (row_ts - last_ts)
else:
energy_results[site]['end'] += entry.value * (1 /
measurements_csv.sample_rate_hz)
# Calculate final measurements
derived_measurements = []
for site in energy_results:
total_energy = energy_results[site]['end'] - energy_results[site]['start']
name = '{}_total_energy'.format(site)
derived_measurements.append(DerivedMetric(name, total_energy, MEASUREMENT_TYPES['energy']))
for site in power_results:
power = power_results[site] / (count + 1) #pylint: disable=undefined-loop-variable
name = '{}_average_power'.format(site)
derived_measurements.append(DerivedMetric(name, power, MEASUREMENT_TYPES['power']))
return derived_measurements