189 lines
5.4 KiB
Python
189 lines
5.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import functools
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import time
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import gc
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from twisted.internet import reactor
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from .metric import (
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CounterMetric, CallbackMetric, DistributionMetric, CacheMetric,
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MemoryUsageMetric,
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)
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from .process_collector import register_process_collector
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logger = logging.getLogger(__name__)
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all_metrics = []
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all_collectors = []
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class Metrics(object):
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""" A single Metrics object gives a (mutable) slice view of the all_metrics
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dict, allowing callers to easily register new metrics that are namespaced
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nicely."""
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def __init__(self, name):
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self.name_prefix = name
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def make_subspace(self, name):
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return Metrics("%s_%s" % (self.name_prefix, name))
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def register_collector(self, func):
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all_collectors.append(func)
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def _register(self, metric_class, name, *args, **kwargs):
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full_name = "%s_%s" % (self.name_prefix, name)
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metric = metric_class(full_name, *args, **kwargs)
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all_metrics.append(metric)
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return metric
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def register_counter(self, *args, **kwargs):
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return self._register(CounterMetric, *args, **kwargs)
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def register_callback(self, *args, **kwargs):
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return self._register(CallbackMetric, *args, **kwargs)
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def register_distribution(self, *args, **kwargs):
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return self._register(DistributionMetric, *args, **kwargs)
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def register_cache(self, *args, **kwargs):
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return self._register(CacheMetric, *args, **kwargs)
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def register_memory_metrics(hs):
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try:
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import psutil
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process = psutil.Process()
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process.memory_info().rss
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except (ImportError, AttributeError):
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logger.warn(
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"psutil is not installed or incorrect version."
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" Disabling memory metrics."
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)
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return
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metric = MemoryUsageMetric(hs, psutil)
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all_metrics.append(metric)
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def get_metrics_for(pkg_name):
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""" Returns a Metrics instance for conveniently creating metrics
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namespaced with the given name prefix. """
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# Convert a "package.name" to "package_name" because Prometheus doesn't
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# let us use . in metric names
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return Metrics(pkg_name.replace(".", "_"))
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def render_all():
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strs = []
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for collector in all_collectors:
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collector()
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for metric in all_metrics:
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try:
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strs += metric.render()
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except Exception:
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strs += ["# FAILED to render"]
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logger.exception("Failed to render metric")
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strs.append("") # to generate a final CRLF
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return "\n".join(strs)
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reactor_metrics = get_metrics_for("reactor")
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tick_time = reactor_metrics.register_distribution("tick_time")
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pending_calls_metric = reactor_metrics.register_distribution("pending_calls")
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gc_time = reactor_metrics.register_distribution("gc_time", labels=["gen"])
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gc_unreachable = reactor_metrics.register_counter("gc_unreachable", labels=["gen"])
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reactor_metrics.register_callback(
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"gc_counts", lambda: {(i,): v for i, v in enumerate(gc.get_count())}, labels=["gen"]
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)
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register_process_collector(get_metrics_for("process"))
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def runUntilCurrentTimer(func):
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@functools.wraps(func)
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def f(*args, **kwargs):
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now = reactor.seconds()
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num_pending = 0
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# _newTimedCalls is one long list of *all* pending calls. Below loop
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# is based off of impl of reactor.runUntilCurrent
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for delayed_call in reactor._newTimedCalls:
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if delayed_call.time > now:
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break
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if delayed_call.delayed_time > 0:
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continue
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num_pending += 1
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num_pending += len(reactor.threadCallQueue)
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start = time.time() * 1000
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ret = func(*args, **kwargs)
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end = time.time() * 1000
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tick_time.inc_by(end - start)
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pending_calls_metric.inc_by(num_pending)
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# Check if we need to do a manual GC (since its been disabled), and do
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# one if necessary.
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threshold = gc.get_threshold()
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counts = gc.get_count()
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for i in (2, 1, 0):
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if threshold[i] < counts[i]:
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logger.info("Collecting gc %d", i)
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start = time.time() * 1000
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unreachable = gc.collect(i)
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end = time.time() * 1000
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gc_time.inc_by(end - start, i)
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gc_unreachable.inc_by(unreachable, i)
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return ret
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return f
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try:
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# Ensure the reactor has all the attributes we expect
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reactor.runUntilCurrent
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reactor._newTimedCalls
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reactor.threadCallQueue
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# runUntilCurrent is called when we have pending calls. It is called once
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# per iteratation after fd polling.
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reactor.runUntilCurrent = runUntilCurrentTimer(reactor.runUntilCurrent)
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# We manually run the GC each reactor tick so that we can get some metrics
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# about time spent doing GC,
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gc.disable()
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except AttributeError:
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pass
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