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#!/usr/bin/env python2.7
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()


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.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
    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 == '}':
      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)

print 'Loading...'
lines = 0
start = time.time()
with open('latency_trace.txt') 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
print 'Read %d lines in %f seconds (%f lines/sec)' % (lines, time_taken, lines / time_taken)

print 'Analyzing...'
call_stacks = sorted(call_stacks.values(), key=lambda cs: cs.count, reverse=True)
for cs in call_stacks:
  cs.finish()

print 'Writing report...'
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)),
  ('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)),
]

for cs in call_stacks:
  print 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="simple")