Esempio n. 1
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class PmfStat(Stat):
  """A stat that stores min, max, mean, standard deviation, and some
  percentiles for arbitrary floating-point data. This is potentially a
  bit expensive, so its child values are only updated once every
  twenty seconds."""

  def __init__(self, name, _=None):
    Stat.__init__(self, name, None)
    self.__sample = UniformSample()
    self.__timestamp = time.time()
    self.percentile99 = None


  def _getDefault(self, instance):
    return PmfStatDict(self, instance)


  def __set__(self, instance, value):
    self.__sample.update(value)
    if time.time() > self.__timestamp + 20 and len(self.__sample) > 1:
      self.__timestamp = time.time()
      histogram = self.__get__(instance, None)
      histogram['min'] = self.__sample.min
      histogram['max'] = self.__sample.max
      histogram['mean'] = self.__sample.mean
      histogram['stddev'] = self.__sample.stddev

      percentiles = self.__sample.percentiles([0.5, 0.75, 0.95, 0.98, 0.99, 0.999])
      histogram['median'] = percentiles[0]
      histogram['75percentile'] = percentiles[1]
      histogram['95percentile'] = percentiles[2]
      histogram['98percentile'] = percentiles[3]
      histogram['99percentile'] = percentiles[4]
      self.percentile99 = percentiles[4]
      histogram['999percentile'] = percentiles[5]
Esempio n. 2
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    def testGaussian(self):
        """Test with gaussian random numbers."""
        random.seed(42)

        us = UniformSample()
        for _ in range(300):
            us.update(random.gauss(42.0, 13.0))
        self.assertAlmostEqual(us.mean, 43.143067271195235, places=5)
        self.assertAlmostEqual(us.stddev, 13.008553229943168, places=5)

        us.clear()
        for _ in range(30000):
            us.update(random.gauss(0.0012, 0.00005))
        self.assertAlmostEqual(us.mean, 0.0012015284549517493, places=5)
        self.assertAlmostEqual(us.stddev, 4.9776450250869146e-05, places=5)
Esempio n. 3
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  def testGaussian(self):
    """Test with gaussian random numbers."""
    random.seed(42)

    us = UniformSample()
    for _ in range(300):
      us.update(random.gauss(42.0, 13.0))
    self.assertAlmostEqual(us.mean, 43.143067271195235, places=5)
    self.assertAlmostEqual(us.stddev, 13.008553229943168, places=5)

    us.clear()
    for _ in range(30000):
      us.update(random.gauss(0.0012, 0.00005))
    self.assertAlmostEqual(us.mean, 0.0012015284549517493, places=5)
    self.assertAlmostEqual(us.stddev, 4.9776450250869146e-05, places=5)
Esempio n. 4
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 def __init__(self, name, _=None):
   Stat.__init__(self, name, None)
   self.__sample = UniformSample()
   self.__timestamp = time.time()
   self.percentile99 = None
Esempio n. 5
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 def __init__(self):
   UserDict.__init__(self)
   self.__sample = UniformSample()
   self.__timestamp = 0
   self.percentile99 = None
   self['count'] = 0
Esempio n. 6
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class PmfStatDict(UserDict):
  """Ugly hack defaultdict-like thing."""

  class TimeManager(object):
    """Context manager for timing."""

    def __init__(self, container):
      self.container = container
      self.msg99 = None
      self.start = None
      self.__discard = False


    def __enter__(self):
      self.start = time.time()
      return self


    def __exit__(self, *_):
      if not self.__discard:
        latency = time.time() - self.start
        self.container.addValue(latency)

        if self.container.percentile99 is not None and latency >= self.container.percentile99:
          if self.msg99 is not None:
            logger, msg, args = self.msg99
            logger.warn(msg, *args)


    def warn99(self, logger, msg, *args):
      """If this time through the timed section of code takes longer
      than the 99th percentile time, then this will call
      logger.warn(msg, *args) at the end of the section."""
      self.msg99 = (logger, msg, args)


    def discard(self):
      """Discard this sample."""
      self.__discard = True


  def __init__(self):
    UserDict.__init__(self)
    self.__sample = UniformSample()
    self.__timestamp = 0
    self.percentile99 = None
    self['count'] = 0


  def __getitem__(self, item):
    if item in self:
      return UserDict.__getitem__(self, item)
    else:
      return 0.0


  def addValue(self, value):
    """Updates the dictionary."""
    self['count'] += 1
    self.__sample.update(value)
    if time.time() > self.__timestamp + 20 and len(self.__sample) > 1:
      self.__timestamp = time.time()
      self['min'] = self.__sample.min
      self['max'] = self.__sample.max
      self['mean'] = self.__sample.mean
      self['stddev'] = self.__sample.stddev

      percentiles = self.__sample.percentiles([0.5, 0.75, 0.95, 0.98, 0.99, 0.999])
      self['median'] = percentiles[0]
      self['75percentile'] = percentiles[1]
      self['95percentile'] = percentiles[2]
      self['98percentile'] = percentiles[3]
      self['99percentile'] = percentiles[4]
      self.percentile99 = percentiles[4]
      self['999percentile'] = percentiles[5]


  def time(self):
    """Measure the time this section of code takes. For use in with statements."""
    return self.TimeManager(self)
Esempio n. 7
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 def __init__(self):
     UserDict.__init__(self)
     self.__sample = UniformSample()
     self.__timestamp = 0
     self.percentile99 = None
     self['count'] = 0
Esempio n. 8
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class PmfStatDict(UserDict):
    """Ugly hack defaultdict-like thing."""
    class TimeManager(object):
        """Context manager for timing."""
        def __init__(self, container):
            self.container = container
            self.msg99 = None
            self.start = None
            self.__discard = False

        def __enter__(self):
            self.start = time.time()
            return self

        def __exit__(self, *_):
            if not self.__discard:
                latency = time.time() - self.start
                self.container.addValue(latency)

                if self.container.percentile99 is not None and latency >= self.container.percentile99:
                    if self.msg99 is not None:
                        logger, msg, args = self.msg99
                        logger.warn(msg, *args)

        def warn99(self, logger, msg, *args):
            """If this time through the timed section of code takes longer
      than the 99th percentile time, then this will call
      logger.warn(msg, *args) at the end of the section."""
            self.msg99 = (logger, msg, args)

        def discard(self):
            """Discard this sample."""
            self.__discard = True

    def __init__(self):
        UserDict.__init__(self)
        self.__sample = UniformSample()
        self.__timestamp = 0
        self.percentile99 = None
        self['count'] = 0

    def __getitem__(self, item):
        if item in self:
            return UserDict.__getitem__(self, item)
        else:
            return 0.0

    def addValue(self, value):
        """Updates the dictionary."""
        self['count'] += 1
        self.__sample.update(value)
        if time.time() > self.__timestamp + 20 and len(self.__sample) > 1:
            self.__timestamp = time.time()
            self['min'] = self.__sample.min
            self['max'] = self.__sample.max
            self['mean'] = self.__sample.mean
            self['stddev'] = self.__sample.stddev

            percentiles = self.__sample.percentiles(
                [0.5, 0.75, 0.95, 0.98, 0.99, 0.999])
            self['median'] = percentiles[0]
            self['75percentile'] = percentiles[1]
            self['95percentile'] = percentiles[2]
            self['98percentile'] = percentiles[3]
            self['99percentile'] = percentiles[4]
            self.percentile99 = percentiles[4]
            self['999percentile'] = percentiles[5]

    def time(self):
        """Measure the time this section of code takes. For use in with statements."""
        return self.TimeManager(self)