gstreamer/subprojects/gst-devtools/tracer/gsttr-stats.py

228 lines
7.2 KiB
Python
Raw Normal View History

#!/usr/bin/env python3
'''
Aggregate values for each tracer event type and print them with some statistics.
How to run:
1) generate some log
GST_DEBUG="GST_TRACER:7" GST_TRACERS="stats;rusage;latency" GST_DEBUG_FILE=trace.log <application>
2) print everything
python3 gsttr-stats.py trace.log
3) print selected entries only
python3 gsttr-stats.py -c latency trace.log
'''
# TODO:
# more options
# - live-update interval (for file=='-')
#
# - for values like timestamps, we only want min/max but no average
2017-02-05 18:37:07 +00:00
import logging
from fnmatch import fnmatch
from tracer.analysis_runner import AnalysisRunner
from tracer.analyzer import Analyzer
from tracer.parser import Parser
from tracer.structure import Structure
2017-02-05 18:37:07 +00:00
logging.basicConfig(level=logging.WARNING)
logger = logging.getLogger('gsttr-stats')
_SCOPE_RELATED_TO = {
# The serialization of enums changed in GStreamer 1.18:
# https://gitlab.freedesktop.org/gstreamer/gstreamer/-/commit/0dafe6e63971ea89a9a9ff9cf30f5a076f915259
# Enum nicks (new serialization)
'pad': 'Pad',
'element': 'Element',
'thread': 'Thread',
'process': 'Process',
# Enum names (old serialization):
'GST_TRACER_VALUE_SCOPE_PAD': 'Pad',
'GST_TRACER_VALUE_SCOPE_ELEMENT': 'Element',
'GST_TRACER_VALUE_SCOPE_THREAD': 'Thread',
'GST_TRACER_VALUE_SCOPE_PROCESS': 'Process',
}
_NUMERIC_TYPES = ('int', 'uint', 'gint', 'guint', 'gint64', 'guint64')
2017-02-05 18:37:07 +00:00
class Stats(Analyzer):
def __init__(self, classes):
super(Stats, self).__init__()
self.classes = classes
self.records = {}
self.data = {}
def handle_tracer_class(self, event):
s = Structure(event[Parser.F_MESSAGE])
# TODO only for debugging
2019-03-16 15:21:34 +00:00
# print("tracer class:", repr(s))
name = s.name[:-len('.class')]
record = {
'class': s,
2019-03-16 15:21:34 +00:00
'scope': {},
'value': {},
}
self.records[name] = record
2019-03-16 15:21:34 +00:00
for k, v in s.values.items():
if v.name == 'scope':
# TODO only for debugging
2019-03-16 15:21:34 +00:00
# print("scope: [%s]=%s" % (k, v))
record['scope'][k] = v
elif v.name == 'value':
# skip non numeric and those without min/max
2019-03-16 15:21:34 +00:00
if v.values['type'] in _NUMERIC_TYPES and 'min' in v.values and 'max' in v.values:
# TODO only for debugging
2019-03-16 15:21:34 +00:00
# print("value: [%s]=%s" % (k, v))
record['value'][k] = v
2019-03-16 15:21:34 +00:00
# else:
# TODO only for debugging
2019-03-16 15:21:34 +00:00
# print("skipping value: [%s]=%s" % (k, v))
def handle_tracer_entry(self, event):
# use first field in message (structure-id) if none
if event[Parser.F_FUNCTION]:
return
msg = event[Parser.F_MESSAGE]
p = msg.find(',')
if p == -1:
return
entry_name = msg[:p]
if self.classes:
if not any([fnmatch(entry_name, c) for c in self.classes]):
return
record = self.records.get(entry_name)
if not record:
return
try:
s = Structure(msg)
except ValueError:
logger.warning("failed to parse: '%s'", msg)
return
# aggregate event based on class
2019-03-16 15:21:34 +00:00
for sk, sv in record['scope'].items():
# look up bin by scope (or create new)
2019-03-16 15:21:34 +00:00
key = (_SCOPE_RELATED_TO[sv.values['related-to']] + ":" + str(s.values[sk]))
scope = self.data.get(key)
if not scope:
scope = {}
self.data[key] = scope
2019-03-16 15:21:34 +00:00
for vk, vv in record['value'].items():
# skip optional fields
2019-03-16 15:21:34 +00:00
if vk not in s.values:
continue
if not s.values.get('have-' + vk, True):
continue
key = entry_name + "/" + vk
data = scope.get(key)
if not data:
2019-03-16 15:21:34 +00:00
data = {'num': 0}
if '_FLAGS_AGGREGATED' not 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
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
print("%-45s: %30s: %16s/%16s/%16s" % (
2019-03-16 15:21:34 +00:00
'scope', 'value', 'min', 'avg', 'max'))
# iterate scopes
2019-03-16 15:21:34 +00:00
for sk, sv in self.data.items():
# iterate tracers
2019-03-16 15:21:34 +00:00
for tk, tv in sv.items():
mi = tv.get('min', '-')
ma = tv.get('max', '-')
if 'sum' in tv:
2019-03-16 15:21:34 +00:00
avg = tv['sum'] / tv['num']
else:
avg = '-'
if mi == ma:
mi = ma = '-'
if is_time_field(tk):
if mi != '-':
mi = format_ts(mi)
if ma != '-':
ma = format_ts(ma)
if avg != '-':
avg = format_ts(avg)
print("%-45s: %30s: %16s/%16s/%16s" % (sk, tk, mi, avg, ma))
2017-02-05 18:37:07 +00:00
class ListClasses(Analyzer):
def __init__(self):
super(ListClasses, self).__init__()
def handle_tracer_class(self, event):
s = Structure(event[Parser.F_MESSAGE])
print(s.name)
def handle_tracer_entry(self, event):
raise StopIteration
def format_ts(ts):
sec = 1e9
h = int(ts // (sec * 60 * 60))
m = int((ts // (sec * 60)) % 60)
s = (ts / sec)
2017-02-05 18:37:07 +00:00
return '{:02d}:{:02d}:{:010.7f}'.format(h, m, s)
def is_time_field(f):
# TODO: need proper units
2019-03-16 15:21:34 +00:00
return (f.endswith('/time') or f.endswith('-dts') or f.endswith('-pts')
or f.endswith('-duration'))
2017-02-05 18:37:07 +00:00
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('file', nargs='?', default='debug.log')
parser.add_argument('-c', '--class', action='append', dest='classes',
help='tracer class selector (default: all)')
parser.add_argument('-l', '--list-classes', action='store_true',
help='show tracer classes')
args = parser.parse_args()
analyzer = None
if args.list_classes:
analyzer = ListClasses()
else:
analyzer = stats = Stats(args.classes)
with Parser(args.file) as log:
runner = AnalysisRunner(log)
runner.add_analyzer(analyzer)
runner.run()
if not args.list_classes:
stats.report()