def tracker_index():
"""Get tracker overview."""
stats = server.stats
if stats and stats.snapshots:
stats.annotate()
timeseries = []
for cls in stats.tracked_classes:
series = []
for snapshot in stats.snapshots:
series.append(snapshot.classes.get(cls, {}).get('sum', 0))
timeseries.append((cls, series))
series = [s.overhead for s in stats.snapshots]
timeseries.append(("Profiling overhead", series))
if stats.snapshots[0].system_total.data_segment:
# Assume tracked data resides in the data segment
series = [s.system_total.data_segment - s.tracked_total - s.overhead
for s in stats.snapshots]
timeseries.append(("Data segment", series))
series = [s.system_total.code_segment for s in stats.snapshots]
timeseries.append(("Code segment", series))
series = [s.system_total.stack_segment for s in stats.snapshots]
timeseries.append(("Stack segment", series))
series = [s.system_total.shared_segment for s in stats.snapshots]
timeseries.append(("Shared memory", series))
else:
series = [s.total - s.tracked_total - s.overhead
for s in stats.snapshots]
timeseries.append(("Other", series))
timeseries = [dict(label=label, data=list(enumerate(data)))
for label, data in timeseries]
return dict(snapshots=stats.snapshots, timeseries=dumps(timeseries))
else:
return dict(snapshots=[])
def tracker_index():
"""Get tracker overview."""
stats = server.stats
if stats and stats.snapshots:
stats.annotate()
timeseries = []
for cls in stats.tracked_classes:
series = []
for snapshot in stats.snapshots:
series.append(snapshot.classes.get(cls, {}).get('sum', 0))
timeseries.append((cls, series))
series = [s.overhead for s in stats.snapshots]
timeseries.append(("Profiling overhead", series))
if stats.snapshots[0].system_total.data_segment:
# Assume tracked data resides in the data segment
series = [
s.system_total.data_segment - s.tracked_total - s.overhead
for s in stats.snapshots
]
timeseries.append(("Data segment", series))
series = [s.system_total.code_segment for s in stats.snapshots]
timeseries.append(("Code segment", series))
series = [s.system_total.stack_segment for s in stats.snapshots]
timeseries.append(("Stack segment", series))
series = [s.system_total.shared_segment for s in stats.snapshots]
timeseries.append(("Shared memory", series))
else:
series = [
s.total - s.tracked_total - s.overhead for s in stats.snapshots
]
timeseries.append(("Other", series))
timeseries = [
dict(label=label, data=list(enumerate(data)))
for label, data in timeseries
]
return dict(snapshots=stats.snapshots, timeseries=dumps(timeseries))
else:
return dict(snapshots=[])