Python SystemResourceMonitor.aggregate_cpu_percent方法代码示例

# 需要导入模块: from mozsystemmonitor.resourcemonitor import SystemResourceMonitor [as 别名]
# 或者: from mozsystemmonitor.resourcemonitor.SystemResourceMonitor import aggregate_cpu_percent [as 别名]
    def test_aggregate_cpu(self):
        monitor = SystemResourceMonitor(poll_interval=0.25)

        monitor.start()
        time.sleep(1)
        monitor.stop()

        values = monitor.aggregate_cpu_percent()
        self.assertIsInstance(values, list)
        self.assertEqual(len(values), multiprocessing.cpu_count())
        for v in values:
            self.assertIsInstance(v, float)

        value = monitor.aggregate_cpu_percent(per_cpu=False)
        self.assertIsInstance(value, float)

        values = monitor.aggregate_cpu_times()
        self.assertIsInstance(values, list)
        self.assertGreater(len(values), 0)
        self.assertTrue(hasattr(values[0], 'user'))

        t = type(values[0])

        value = monitor.aggregate_cpu_times(per_cpu=False)
        self.assertIsInstance(value, t)

# 需要导入模块: from mozsystemmonitor.resourcemonitor import SystemResourceMonitor [as 别名]
# 或者: from mozsystemmonitor.resourcemonitor.SystemResourceMonitor import aggregate_cpu_percent [as 别名]

#.........这里部分代码省略.........
            return None, None, None

        swap_in = sum(m.swap.sin for m in self.resources.measurements)
        swap_out = sum(m.swap.sout for m in self.resources.measurements)

        # The threshold of 1024 MB has been arbitrarily chosen.
        #
        # Choosing a proper value that is ideal for everyone is hard. We will
        # likely iterate on the logic until people are generally satisfied.
        # If a value is too low, the eventual warning produced does not carry
        # much meaning. If the threshold is too high, people may not see the
        # warning and the warning will thus be ineffective.
        excessive = swap_in > 512 * 1048576 or swap_out > 512 * 1048576
        return excessive, swap_in, swap_out

    @property
    def have_resource_usage(self):
        """Whether resource usage is available."""
        return self.resources.start_time is not None

    def record_resource_usage(self):
        """Record the resource usage of this build.

        We write a log message containing a high-level summary. We also produce
        a data structure containing the low-level resource usage information.
        This data structure can e.g. be serialized into JSON and saved for
        subsequent analysis.

        If no resource usage is available, None is returned.
        """
        if not self.have_resource_usage:
            return None

        cpu_percent = self.resources.aggregate_cpu_percent(phase=None,
            per_cpu=False)
        cpu_times = self.resources.aggregate_cpu_times(phase=None,
            per_cpu=False)
        io = self.resources.aggregate_io(phase=None)

        self._log_resource_usage('Overall system resources', 'resource_usage',
            self.end_time - self.start_time, cpu_percent, cpu_times, io)

        excessive, sin, sout = self.have_excessive_swapping()
        if excessive is not None and (sin or sout):
            sin /= 1048576
            sout /= 1048576
            self.log(logging.WARNING, 'swap_activity',
                {'sin': sin, 'sout': sout},
                'Swap in/out (MB): {sin}/{sout}')

        o = dict(
            version=1,
            start=self.start_time,
            end=self.end_time,
            duration=self.end_time - self.start_time,
            resources=[],
            cpu_percent=cpu_percent,
            cpu_times=cpu_times,
            io=io,
        )

        o['tiers'] = self.tiers.tiered_resource_usage()

        self.tiers.add_resource_fields_to_dict(o)

        for usage in self.resources.range_usage():

# 需要导入模块: from mozsystemmonitor.resourcemonitor import SystemResourceMonitor [as 别名]
# 或者: from mozsystemmonitor.resourcemonitor.SystemResourceMonitor import aggregate_cpu_percent [as 别名]

#.........这里部分代码省略.........
        """
        if not self.have_resource_usage:
            return None, None, None

        swap_in = sum(m.swap.sin for m in self.resources.measurements)
        swap_out = sum(m.swap.sout for m in self.resources.measurements)

        # The threshold of 1024 MB has been arbitrarily chosen.
        #
        # Choosing a proper value that is ideal for everyone is hard. We will
        # likely iterate on the logic until people are generally satisfied.
        # If a value is too low, the eventual warning produced does not carry
        # much meaning. If the threshold is too high, people may not see the
        # warning and the warning will thus be ineffective.
        excessive = swap_in > 512 * 1048576 or swap_out > 512 * 1048576
        return excessive, swap_in, swap_out

    @property
    def have_resource_usage(self):
        """Whether resource usage is available."""
        return self.resources.start_time is not None

    def get_resource_usage(self):
        """ Produce a data structure containing the low-level resource usage information.

        This data structure can e.g. be serialized into JSON and saved for
        subsequent analysis.

        If no resource usage is available, None is returned.
        """
        if not self.have_resource_usage:
            return None

        cpu_percent = self.resources.aggregate_cpu_percent(phase=None, per_cpu=False)
        cpu_times = self.resources.aggregate_cpu_times(phase=None, per_cpu=False)
        io = self.resources.aggregate_io(phase=None)

        o = dict(
            version=3,
            argv=sys.argv,
            start=self.start_time,
            end=self.end_time,
            duration=self.end_time - self.start_time,
            resources=[],
            cpu_percent=cpu_percent,
            cpu_times=cpu_times,
            io=io,
            objects=self.build_objects,
        )

        o["tiers"] = self.tiers.tiered_resource_usage()

        self.tiers.add_resource_fields_to_dict(o)

        for usage in self.resources.range_usage():
            cpu_percent = self.resources.aggregate_cpu_percent(usage.start, usage.end, per_cpu=False)
            cpu_times = self.resources.aggregate_cpu_times(usage.start, usage.end, per_cpu=False)

            entry = dict(start=usage.start, end=usage.end, virt=list(usage.virt), swap=list(usage.swap))

            self.tiers.add_resources_to_dict(entry, start=usage.start, end=usage.end)

            o["resources"].append(entry)

        # If the imports for this file ran before the in-tree virtualenv
        # was bootstrapped (for instance, for a clobber build in automation),