mirrors/gstreamer
mirrors/gstreamer
1
1
Fork 0
mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-10-04 01:32:42 +00:00
Code Issues 1 Projects Releases Wiki Activity

tracer: gsttr-stats: don't average aggregated values

Browse source 
Only collect the first/last values for them.
This commit is contained in:
Stefan Sauer 2016-12-20 21:00:58 +01:00
parent 4771b445e9
commit 013b747404
1 changed files with 24 additions and 16 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

40
tracer/gsttr-stats.py
View file

@ -63,8 +63,6 @@ class Stats(Analyzer):
record['scope'][k] = v
elif v.name == 'value':
# skip non numeric and those without min/max
# TODO: skip them only if flags != AGGREGATED
# - if flag is AGGREGATED, don't calc average
if (v.values['type'] in _NUMERIC_TYPES and
'min' in v.values and 'max' in v.values):
# TODO only for debugging
@ -113,22 +111,28 @@ class Stats(Analyzer):
key = entry_name + "/" + vk
data = scope.get(key)
if not data:
data = {
'num': 0,
'sum': 0,
}
if 'max' in vv.values and 'min' in vv.values:
data['min'] = int(vv.values['max'])
data['max'] = int(vv.values['min'])
data = { 'num': 0 }
if not '_FLAGS_AGGREGATED' in vv.values.get('flags', ''):
data['sum'] = 0
if 'max' in vv.values and 'min' in vv.values:
data['min'] = int(vv.values['max'])
data['max'] = int(vv.values['min'])
else:
# aggregated: don't average, collect first value
data['min'] = int(s.values[vk])
scope[key] = data
# update min/max/sum and count via value
dv = int(s.values[vk])
data['num'] += 1
data['sum'] += dv
if 'min' in data:
data['min'] = min(dv, data['min'])
if 'max' in data:
data['max'] = max(dv, data['max'])
if 'sum' in data:
data['sum'] += dv
if 'min' in data:
data['min'] = min(dv, data['min'])
if 'max' in data:
data['max'] = max(dv, data['max'])
else:
# aggregated: collect last value
data['max'] = dv
def report(self):
# headline
@ -140,7 +144,10 @@ class Stats(Analyzer):
for tk,tv in sv.items():
mi = tv.get('min', '-')
ma = tv.get('max', '-')
avg = tv['sum']/tv['num']
if 'sum' in tv:
avg = tv['sum']/tv['num']
else:
avg = '-'
if mi == ma:
mi = ma = '-'
if is_time_field(tk):
@ -148,7 +155,8 @@ class Stats(Analyzer):
mi = format_ts(mi)
if ma != '-':
ma = format_ts(ma)
avg = format_ts(avg)
if avg != '-':
avg = format_ts(avg)
print("%-45s: %30s: %16s/%16s/%16s" % (sk, tk, mi, avg, ma))
class ListClasses(Analyzer):