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#!/usr/bin/env python2.7
import argparse
import collections
import hashlib
import itertools
import json
import math
import tabulate
import time
SELF_TIME = object()
TIME_FROM_SCOPE_START = object()
TIME_TO_SCOPE_END = object()
TIME_FROM_STACK_START = object()
TIME_TO_STACK_END = object()
argp = argparse.ArgumentParser(description='Process output of basic_prof builds')
argp.add_argument('--source', default='latency_trace.txt', type=str)
argp.add_argument('--fmt', choices=tabulate.tabulate_formats, default='simple')
args = argp.parse_args()
class LineItem(object):
def __init__(self, line, indent):
self.tag = line['tag']
self.indent = indent
self.start_time = line['t']
self.end_time = None
self.important = line['imp']
self.filename = line['file']
self.fileline = line['line']
self.times = {}
class ScopeBuilder(object):
def __init__(self, call_stack_builder, line):
self.call_stack_builder = call_stack_builder
self.indent = len(call_stack_builder.stk)
self.top_line = LineItem(line, self.indent)
call_stack_builder.lines.append(self.top_line)
self.first_child_pos = len(call_stack_builder.lines)
def mark(self, line):
line_item = LineItem(line, self.indent + 1)
line_item.end_time = line_item.start_time
self.call_stack_builder.lines.append(line_item)
def finish(self, line):
assert line['tag'] == self.top_line.tag, 'expected %s, got %s; thread=%s; t0=%f t1=%f' % (self.top_line.tag, line['tag'], line['thd'], self.top_line.start_time, line['t'])
final_time_stamp = line['t']
assert self.top_line.end_time is None
self.top_line.end_time = final_time_stamp
assert SELF_TIME not in self.top_line.times
self.top_line.times[SELF_TIME] = final_time_stamp - self.top_line.start_time
for line in self.call_stack_builder.lines[self.first_child_pos:]:
if TIME_FROM_SCOPE_START not in line.times:
line.times[TIME_FROM_SCOPE_START] = line.start_time - self.top_line.start_time
line.times[TIME_TO_SCOPE_END] = final_time_stamp - line.end_time
class CallStackBuilder(object):
def __init__(self):
self.stk = []
self.signature = hashlib.md5()
self.lines = []
def finish(self):
start_time = self.lines[0].start_time
end_time = self.lines[0].end_time
self.signature = self.signature.hexdigest()
for line in self.lines:
line.times[TIME_FROM_STACK_START] = line.start_time - start_time
line.times[TIME_TO_STACK_END] = end_time - line.end_time
def add(self, line):
line_type = line['type']
self.signature.update(line_type)
self.signature.update(line['tag'])
if line_type == '{':
self.stk.append(ScopeBuilder(self, line))
return False
elif line_type == '}':
assert self.stk, 'expected non-empty stack for closing %s; thread=%s; t=%f' % (line['tag'], line['thd'], line['t'])
self.stk.pop().finish(line)
if not self.stk:
self.finish()
return True
return False
elif line_type == '.' or line_type == '!':
self.stk[-1].mark(line)
return False
else:
raise Exception('Unknown line type: \'%s\'' % line_type)
class CallStack(object):
def __init__(self, initial_call_stack_builder):
self.count = 1
self.signature = initial_call_stack_builder.signature
self.lines = initial_call_stack_builder.lines
for line in self.lines:
for key, val in line.times.items():
line.times[key] = [val]
def add(self, call_stack_builder):
assert self.signature == call_stack_builder.signature
self.count += 1
assert len(self.lines) == len(call_stack_builder.lines)
for lsum, line in itertools.izip(self.lines, call_stack_builder.lines):
assert lsum.tag == line.tag
assert lsum.times.keys() == line.times.keys()
for k, lst in lsum.times.iteritems():
lst.append(line.times[k])
def finish(self):
for line in self.lines:
for lst in line.times.itervalues():
lst.sort()
builder = collections.defaultdict(CallStackBuilder)
call_stacks = collections.defaultdict(CallStack)
lines = 0
start = time.time()
with open(args.source) as f:
for line in f:
lines += 1
inf = json.loads(line)
thd = inf['thd']
cs = builder[thd]
if cs.add(inf):
if cs.signature in call_stacks:
call_stacks[cs.signature].add(cs)
else:
call_stacks[cs.signature] = CallStack(cs)
del builder[thd]
time_taken = time.time() - start
call_stacks = sorted(call_stacks.values(), key=lambda cs: cs.count, reverse=True)
total_stacks = 0
for cs in call_stacks:
total_stacks += cs.count
cs.finish()
def percentile(N, percent, key=lambda x:x):
"""
Find the percentile of a list of values.
@parameter N - is a list of values. Note N MUST BE already sorted.
@parameter percent - a float value from 0.0 to 1.0.
@parameter key - optional key function to compute value from each element of N.
@return - the percentile of the values
"""
if not N:
return None
k = (len(N)-1) * percent
f = math.floor(k)
c = math.ceil(k)
if f == c:
return key(N[int(k)])
d0 = key(N[int(f)]) * (c-k)
d1 = key(N[int(c)]) * (k-f)
return d0+d1
def tidy_tag(tag):
if tag[0:10] == 'GRPC_PTAG_':
return tag[10:]
return tag
def time_string(values):
num_values = len(values)
return '%.1f/%.1f/%.1f' % (
1e6 * percentile(values, 0.5),
1e6 * percentile(values, 0.9),
1e6 * percentile(values, 0.99))
def time_format(idx):
def ent(line, idx=idx):
if idx in line.times:
return time_string(line.times[idx])
return ''
return ent
FORMAT = [
('TAG', lambda line: '..'*line.indent + tidy_tag(line.tag)),
('LOC', lambda line: '%s:%d' % (line.filename[line.filename.rfind('/')+1:], line.fileline)),
('FROM_STACK_START', time_format(TIME_FROM_STACK_START)),
('SELF', time_format(SELF_TIME)),
('TO_STACK_END', time_format(TIME_TO_STACK_END)),
('FROM_SCOPE_START', time_format(TIME_FROM_SCOPE_START)),
('SELF', time_format(SELF_TIME)),
('TO_SCOPE_END', time_format(TIME_TO_SCOPE_END)),
]
BANNER = {
'simple': 'Count: %(count)d',
'html': '<h1>Count: %(count)d</h1>'
}
if args.fmt == 'html':
print '<html>'
print '<head>'
print '<title>Profile Report</title>'
print '</head>'
accounted_for = 0
for cs in call_stacks:
if args.fmt in BANNER:
print BANNER[args.fmt] % {
'count': cs.count,
}
header, _ = zip(*FORMAT)
table = []
for line in cs.lines:
fields = []
for _, fn in FORMAT:
fields.append(fn(line))
table.append(fields)
print tabulate.tabulate(table, header, tablefmt=args.fmt)
accounted_for += cs.count
if accounted_for > .99 * total_stacks:
break
if args.fmt == 'html':
print '</html>'
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