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tracer/gsttr-stats: adding some filtering options
Also adding a way to show what is in the file.
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parent
2239c8b7ac
commit
b2576972ce
2 changed files with 125 additions and 65 deletions
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@ -1,16 +1,27 @@
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#!/usr/bin/env python3
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'''
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How to run:
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Offline:
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1) generate some log
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GST_DEBUG="GST_TRACER:7" GST_TRACERS="stats;rusage;latency" GST_DEBUG_FILE=trace.log <application>
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2) print everything
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python3 gsttr-stats.py trace.log
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3) print selected entries only
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python3 gsttr-stats.py -c latency trace.log
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'''
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import logging
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from fnmatch import fnmatch
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# TODO:
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# options
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# - list what is in the log
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# - select which values to extract
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# more options
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# - live-update interval (for file=='-')
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#
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# - for values like timestamps, we only want min/max but no average
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logging.basicConfig(level=logging.WARNING)
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logger = logging.getLogger('gsttr-stats')
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from tracer.analysis_runner import AnalysisRunner
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from tracer.analyzer import Analyzer
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@ -28,8 +39,9 @@ _NUMERIC_TYPES = ('int', 'uint', 'gint', 'guint', 'gint64', 'guint64')
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class Stats(Analyzer):
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def __init__(self):
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def __init__(self, classes):
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super(Stats, self).__init__()
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self.classes = classes
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self.records = {}
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self.data = {}
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@ -51,6 +63,8 @@ class Stats(Analyzer):
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record['scope'][k] = v
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elif v.name == 'value':
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# skip non numeric and those without min/max
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# TODO: skip them only if flags != AGGREGATED
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# - if flag is AGGREGATED, don't calc average
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if (v.values['type'] in _NUMERIC_TYPES and
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'min' in v.values and 'max' in v.values):
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# TODO only for debugging
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@ -63,13 +77,23 @@ class Stats(Analyzer):
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def handle_tracer_entry(self, event):
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# use first field in message (structure-id) if none
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if event[Parser.F_FUNCTION]:
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# TODO: parse params in event[Parser.F_MESSAGE]
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entry_name = event[Parser.F_FUNCTION]
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else:
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return
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try:
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s = Structure(event[Parser.F_MESSAGE])
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except ValueError:
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logger.warning("failed to parse: '%s'", event[Parser.F_MESSAGE])
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return
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entry_name = s.name
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if self.classes:
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if not any([fnmatch(entry_name, c) for c in self.classes]):
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return
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record = self.records.get(entry_name)
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if record:
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if not record:
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return
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# aggregate event based on class
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for sk,sv in record['scope'].items():
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# look up bin by scope (or create new)
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@ -80,6 +104,10 @@ class Stats(Analyzer):
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scope = {}
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self.data[key] = scope
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for vk,vv in record['value'].items():
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# skip optional fields
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if not vk in s.values:
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continue
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key = entry_name + "/" + vk
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data = scope.get(key)
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if not data:
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@ -93,7 +121,6 @@ class Stats(Analyzer):
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scope[key] = data
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# update min/max/sum and count via value
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dv = int(s.values[vk])
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# TODO: skip 64bit -1 values ?
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data['num'] += 1
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data['sum'] += dv
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if 'min' in data:
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@ -101,6 +128,39 @@ class Stats(Analyzer):
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if 'max' in data:
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data['max'] = max(dv, data['max'])
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def report(self):
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# iterate scopes
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for sk,sv in self.data.items():
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# iterate tracers
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for tk,tv in sv.items():
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mi = tv.get('min', '-')
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ma = tv.get('max', '-')
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avg = tv['sum']/tv['num']
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if is_time_field(tk):
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if mi != '-':
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mi = format_ts(mi)
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if ma != '-':
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ma = format_ts(ma)
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avg = format_ts(avg)
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if mi == ma:
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print("%-45s: Avg %30s: %s" % (sk, tk, avg))
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else:
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print("%-45s: Min/Avg/Max %30s: %s, %s, %s" %
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(sk, tk, mi, avg, ma))
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class ListClasses(Analyzer):
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def __init__(self):
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super(ListClasses, self).__init__()
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def handle_tracer_class(self, event):
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s = Structure(event[Parser.F_MESSAGE])
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print(s.name)
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def handle_tracer_entry(self, event):
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raise StopIteration
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def format_ts(ts):
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sec = 1e9
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h = int(ts // (sec * 60 * 60))
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@ -117,25 +177,22 @@ if __name__ == '__main__':
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument('file', nargs='?', default='debug.log')
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parser.add_argument('-c', '--class', action='append', dest='classes',
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help='tracer class selector (default: all)')
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parser.add_argument('-l', '--list-classes', action='store_true',
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help='show tracer classes')
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args = parser.parse_args()
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analyzer = None
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if args.list_classes:
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analyzer = ListClasses()
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else:
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analyzer = stats = Stats(args.classes)
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with Parser(args.file) as log:
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stats = Stats()
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runner = AnalysisRunner(log)
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runner.add_analyzer(stats)
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runner.add_analyzer(analyzer)
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runner.run()
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# iterate scopes
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for sk,sv in stats.data.items():
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# iterate tracers
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for tk,tv in sv.items():
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mi = tv.get('min', '-')
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ma = tv.get('max', '-')
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avg = tv['sum']/tv['num']
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if is_time_field(tk):
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if mi != '-':
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mi = format_ts(mi)
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if ma != '-':
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ma = format_ts(ma)
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avg = format_ts(avg)
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print("%-45s: Min/Avg,Max %30s: %s, %s, %s" % (sk, tk, mi, avg, ma))
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if not args.list_classes:
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stats.report()
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@ -28,6 +28,7 @@ class AnalysisRunner(object):
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return (not event[Parser.F_LINE] and not event[Parser.F_FILENAME])
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def run(self):
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try:
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for event in self.log:
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# check if it is a tracer.class or tracer event
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if self.is_tracer_class(event):
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@ -36,3 +37,5 @@ class AnalysisRunner(object):
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self.handle_tracer_entry(event)
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#else:
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# print("unhandled:", repr(event))
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except StopIteration:
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pass
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