summary refs log tree commit diff
path: root/synapse/metrics/__init__.py
blob: 6b5b0c94712ee82bd776566f34f1b1f7c023614f (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
# -*- coding: utf-8 -*-
# Copyright 2015, 2016 OpenMarket Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import logging
import functools
import time
import gc
import os
import platform
import attr

from prometheus_client import Gauge, Histogram, Counter
from prometheus_client.core import GaugeMetricFamily, REGISTRY

from twisted.internet import reactor


logger = logging.getLogger(__name__)

running_on_pypy = platform.python_implementation() == "PyPy"
all_metrics = []
all_collectors = []
all_gauges = {}

HAVE_PROC_SELF_STAT = os.path.exists("/proc/self/stat")

class RegistryProxy(object):

    def collect(self):
        for metric in REGISTRY.collect():
            if not metric.name.startswith("__"):
                yield metric


@attr.s(hash=True)
class LaterGauge(object):

    name = attr.ib()
    desc = attr.ib()
    labels = attr.ib(hash=False)
    caller = attr.ib()

    def collect(self):

        g = GaugeMetricFamily(self.name, self.desc, labels=self.labels)

        try:
            calls = self.caller()
        except Exception as e:
            print(e)
            logger.err()
            yield g

        if isinstance(calls, dict):
            for k, v in calls.items():
                g.add_metric(k, v)
        else:
            g.add_metric([], calls)

        yield g

    def __attrs_post_init__(self):
        self._register()

    def _register(self):
        if self.name in all_gauges.keys():
            logger.warning("%s already registered, reregistering" % (self.name,))
            REGISTRY.unregister(all_gauges.pop(self.name))

        REGISTRY.register(self)
        all_gauges[self.name] = self


#
# Detailed CPU metrics
#

class CPUMetrics(object):

    def __init__(self):
        ticks_per_sec = 100
        try:
            # Try and get the system config
            ticks_per_sec = os.sysconf('SC_CLK_TCK')
        except (ValueError, TypeError, AttributeError):
            pass

        self.ticks_per_sec = ticks_per_sec

    def collect(self):
        if not HAVE_PROC_SELF_STAT:
            return

        with open("/proc/self/stat") as s:
            line = s.read()
            raw_stats = line.split(") ", 1)[1].split(" ")

            user = GaugeMetricFamily("process_cpu_user_seconds_total", "")
            user.add_metric([], float(raw_stats[11]) / self.ticks_per_sec)
            yield user

            sys = GaugeMetricFamily("process_cpu_system_seconds_total", "")
            sys.add_metric([], float(raw_stats[12]) / self.ticks_per_sec)
            yield sys


REGISTRY.register(CPUMetrics())

#
# Python GC metrics
#

gc_unreachable = Gauge("python_gc_unreachable_total", "Unreachable GC objects", ["gen"])
gc_time = Histogram(
    "python_gc_time",
    "Time taken to GC (sec)",
    ["gen"],
    buckets=[0.0025, 0.005, 0.01, 0.025, 0.05, 0.10, 0.25, 0.50, 1.00, 2.50,
             5.00, 7.50, 15.00, 30.00, 45.00, 60.00],
)


class GCCounts(object):

    def collect(self):
        cm = GaugeMetricFamily("python_gc_counts", "GC cycle counts", labels=["gen"])
        for n, m in enumerate(gc.get_count()):
            cm.add_metric([str(n)], m)

        yield cm


REGISTRY.register(GCCounts())

#
# Twisted reactor metrics
#

tick_time = Histogram(
    "python_twisted_reactor_tick_time",
    "Tick time of the Twisted reactor (sec)",
    buckets=[0.001, 0.002, 0.005, 0.01, 0.025, 0.05, 0.1, 0.2, 0.5, 1, 2, 5],
)
pending_calls_metric = Histogram(
    "python_twisted_reactor_pending_calls",
    "Pending calls",
    buckets=[1, 2, 5, 10, 25, 50, 100, 250, 500, 1000],
)

#
# Federation Metrics
#

sent_edus_counter = Counter("synapse_federation_client_sent_edus", "")

sent_transactions_counter = Counter("synapse_federation_client_sent_transactions", "")

events_processed_counter = Counter("synapse_federation_client_events_processed", "")

# Used to track where various components have processed in the event stream,
# e.g. federation sending, appservice sending, etc.
event_processing_positions = Gauge("synapse_event_processing_positions", "", ["name"])

# Used to track the current max events stream position
event_persisted_position = Gauge("synapse_event_persisted_position", "")

# Used to track the received_ts of the last event processed by various
# components
event_processing_last_ts = Gauge("synapse_event_processing_last_ts", "", ["name"])

# Used to track the lag processing events. This is the time difference
# between the last processed event's received_ts and the time it was
# finished being processed.
event_processing_lag = Gauge("synapse_event_processing_lag", "", ["name"])


def runUntilCurrentTimer(func):

    @functools.wraps(func)
    def f(*args, **kwargs):
        now = reactor.seconds()
        num_pending = 0

        # _newTimedCalls is one long list of *all* pending calls. Below loop
        # is based off of impl of reactor.runUntilCurrent
        for delayed_call in reactor._newTimedCalls:
            if delayed_call.time > now:
                break

            if delayed_call.delayed_time > 0:
                continue

            num_pending += 1

        num_pending += len(reactor.threadCallQueue)
        start = time.time()
        ret = func(*args, **kwargs)
        end = time.time()

        # record the amount of wallclock time spent running pending calls.
        # This is a proxy for the actual amount of time between reactor polls,
        # since about 25% of time is actually spent running things triggered by
        # I/O events, but that is harder to capture without rewriting half the
        # reactor.
        tick_time.observe(end - start)
        pending_calls_metric.observe(num_pending)

        if running_on_pypy:
            return ret

        # Check if we need to do a manual GC (since its been disabled), and do
        # one if necessary.
        threshold = gc.get_threshold()
        counts = gc.get_count()
        for i in (2, 1, 0):
            if threshold[i] < counts[i]:
                logger.info("Collecting gc %d", i)

                start = time.time()
                unreachable = gc.collect(i)
                end = time.time()

                gc_time.labels(i).observe(end - start)
                gc_unreachable.labels(i).set(unreachable)

        return ret

    return f


try:
    # Ensure the reactor has all the attributes we expect
    reactor.runUntilCurrent
    reactor._newTimedCalls
    reactor.threadCallQueue

    # runUntilCurrent is called when we have pending calls. It is called once
    # per iteratation after fd polling.
    reactor.runUntilCurrent = runUntilCurrentTimer(reactor.runUntilCurrent)

    # We manually run the GC each reactor tick so that we can get some metrics
    # about time spent doing GC,
    if not running_on_pypy:
        gc.disable()
except AttributeError:
    pass