diff options
Diffstat (limited to 'synapse/metrics')
| -rw-r--r-- | synapse/metrics/__init__.py | 260 | ||||
| -rw-r--r-- | synapse/metrics/background_process_metrics.py | 179 | ||||
| -rw-r--r-- | synapse/metrics/metric.py | 195 | ||||
| -rw-r--r-- | synapse/metrics/process_collector.py | 122 | ||||
| -rw-r--r-- | synapse/metrics/resource.py | 23 |
5 files changed, 358 insertions, 421 deletions
diff --git a/synapse/metrics/__init__.py b/synapse/metrics/__init__.py index 2265e6e8d6..a9158fc066 100644 --- a/synapse/metrics/__init__.py +++ b/synapse/metrics/__init__.py @@ -13,118 +13,198 @@ # See the License for the specific language governing permissions and # limitations under the License. -import logging import functools -import time import gc +import logging +import os +import platform +import time -from twisted.internet import reactor - -from .metric import ( - CounterMetric, CallbackMetric, DistributionMetric, CacheMetric, - MemoryUsageMetric, -) -from .process_collector import register_process_collector +import attr +from prometheus_client import Counter, Gauge, Histogram +from prometheus_client.core import REGISTRY, GaugeMetricFamily +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 Metrics(object): - """ A single Metrics object gives a (mutable) slice view of the all_metrics - dict, allowing callers to easily register new metrics that are namespaced - nicely.""" - def __init__(self, name): - self.name_prefix = name +class RegistryProxy(object): - def make_subspace(self, name): - return Metrics("%s_%s" % (self.name_prefix, name)) + @staticmethod + def collect(): + for metric in REGISTRY.collect(): + if not metric.name.startswith("__"): + yield metric - def register_collector(self, func): - all_collectors.append(func) - def _register(self, metric_class, name, *args, **kwargs): - full_name = "%s_%s" % (self.name_prefix, name) +@attr.s(hash=True) +class LaterGauge(object): - metric = metric_class(full_name, *args, **kwargs) + name = attr.ib() + desc = attr.ib() + labels = attr.ib(hash=False) + caller = attr.ib() - all_metrics.append(metric) - return metric + def collect(self): - def register_counter(self, *args, **kwargs): - return self._register(CounterMetric, *args, **kwargs) + g = GaugeMetricFamily(self.name, self.desc, labels=self.labels) - def register_callback(self, *args, **kwargs): - return self._register(CallbackMetric, *args, **kwargs) + try: + calls = self.caller() + except Exception: + logger.exception( + "Exception running callback for LaterGauge(%s)", + self.name, + ) + yield g + return - def register_distribution(self, *args, **kwargs): - return self._register(DistributionMetric, *args, **kwargs) + if isinstance(calls, dict): + for k, v in calls.items(): + g.add_metric(k, v) + else: + g.add_metric([], calls) - def register_cache(self, *args, **kwargs): - return self._register(CacheMetric, *args, **kwargs) + yield g + def __attrs_post_init__(self): + self._register() -def register_memory_metrics(hs): - try: - import psutil - process = psutil.Process() - process.memory_info().rss - except (ImportError, AttributeError): - logger.warn( - "psutil is not installed or incorrect version." - " Disabling memory metrics." - ) - return - metric = MemoryUsageMetric(hs, psutil) - all_metrics.append(metric) + 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 -def get_metrics_for(pkg_name): - """ Returns a Metrics instance for conveniently creating metrics - namespaced with the given name prefix. """ - # Convert a "package.name" to "package_name" because Prometheus doesn't - # let us use . in metric names - return Metrics(pkg_name.replace(".", "_")) +# +# Detailed CPU metrics +# +class CPUMetrics(object): -def render_all(): - strs = [] + 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 - for collector in all_collectors: - collector() + self.ticks_per_sec = ticks_per_sec - for metric in all_metrics: - try: - strs += metric.render() - except Exception: - strs += ["# FAILED to render"] - logger.exception("Failed to render metric") + def collect(self): + if not HAVE_PROC_SELF_STAT: + return - strs.append("") # to generate a final CRLF + with open("/proc/self/stat") as s: + line = s.read() + raw_stats = line.split(") ", 1)[1].split(" ") - return "\n".join(strs) + 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 -register_process_collector(get_metrics_for("process")) +REGISTRY.register(CPUMetrics()) -python_metrics = get_metrics_for("python") +# +# Python GC metrics +# -gc_time = python_metrics.register_distribution("gc_time", labels=["gen"]) -gc_unreachable = python_metrics.register_counter("gc_unreachable_total", labels=["gen"]) -python_metrics.register_callback( - "gc_counts", lambda: {(i,): v for i, v in enumerate(gc.get_count())}, labels=["gen"] +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], ) -reactor_metrics = get_metrics_for("python.twisted.reactor") -tick_time = reactor_metrics.register_distribution("tick_time") -pending_calls_metric = reactor_metrics.register_distribution("pending_calls") + +class GCCounts(object): + + def collect(self): + cm = GaugeMetricFamily("python_gc_counts", "GC object counts", labels=["gen"]) + for n, m in enumerate(gc.get_count()): + cm.add_metric([str(n)], m) + + yield cm + + +if not running_on_pypy: + 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"]) + +last_ticked = time.time() + + +class ReactorLastSeenMetric(object): + + def collect(self): + cm = GaugeMetricFamily( + "python_twisted_reactor_last_seen", + "Seconds since the Twisted reactor was last seen", + ) + cm.add_metric([], time.time() - last_ticked) + yield cm + + +REGISTRY.register(ReactorLastSeenMetric()) def runUntilCurrentTimer(func): @@ -146,12 +226,25 @@ def runUntilCurrentTimer(func): num_pending += 1 num_pending += len(reactor.threadCallQueue) - - start = time.time() * 1000 + start = time.time() ret = func(*args, **kwargs) - end = time.time() * 1000 - tick_time.inc_by(end - start) - pending_calls_metric.inc_by(num_pending) + 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) + + # Update the time we last ticked, for the metric to test whether + # Synapse's reactor has frozen + global last_ticked + last_ticked = end + + if running_on_pypy: + return ret # Check if we need to do a manual GC (since its been disabled), and do # one if necessary. @@ -161,12 +254,12 @@ def runUntilCurrentTimer(func): if threshold[i] < counts[i]: logger.info("Collecting gc %d", i) - start = time.time() * 1000 + start = time.time() unreachable = gc.collect(i) - end = time.time() * 1000 + end = time.time() - gc_time.inc_by(end - start, i) - gc_unreachable.inc_by(unreachable, i) + gc_time.labels(i).observe(end - start) + gc_unreachable.labels(i).set(unreachable) return ret @@ -185,6 +278,7 @@ try: # We manually run the GC each reactor tick so that we can get some metrics # about time spent doing GC, - gc.disable() + if not running_on_pypy: + gc.disable() except AttributeError: pass diff --git a/synapse/metrics/background_process_metrics.py b/synapse/metrics/background_process_metrics.py new file mode 100644 index 0000000000..9d820e44a6 --- /dev/null +++ b/synapse/metrics/background_process_metrics.py @@ -0,0 +1,179 @@ +# -*- coding: utf-8 -*- +# Copyright 2018 New Vector 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 six + +from prometheus_client.core import REGISTRY, Counter, GaugeMetricFamily + +from twisted.internet import defer + +from synapse.util.logcontext import LoggingContext, PreserveLoggingContext + +_background_process_start_count = Counter( + "synapse_background_process_start_count", + "Number of background processes started", + ["name"], +) + +# we set registry=None in all of these to stop them getting registered with +# the default registry. Instead we collect them all via the CustomCollector, +# which ensures that we can update them before they are collected. +# +_background_process_ru_utime = Counter( + "synapse_background_process_ru_utime_seconds", + "User CPU time used by background processes, in seconds", + ["name"], + registry=None, +) + +_background_process_ru_stime = Counter( + "synapse_background_process_ru_stime_seconds", + "System CPU time used by background processes, in seconds", + ["name"], + registry=None, +) + +_background_process_db_txn_count = Counter( + "synapse_background_process_db_txn_count", + "Number of database transactions done by background processes", + ["name"], + registry=None, +) + +_background_process_db_txn_duration = Counter( + "synapse_background_process_db_txn_duration_seconds", + ("Seconds spent by background processes waiting for database " + "transactions, excluding scheduling time"), + ["name"], + registry=None, +) + +_background_process_db_sched_duration = Counter( + "synapse_background_process_db_sched_duration_seconds", + "Seconds spent by background processes waiting for database connections", + ["name"], + registry=None, +) + +# map from description to a counter, so that we can name our logcontexts +# incrementally. (It actually duplicates _background_process_start_count, but +# it's much simpler to do so than to try to combine them.) +_background_process_counts = dict() # type: dict[str, int] + +# map from description to the currently running background processes. +# +# it's kept as a dict of sets rather than a big set so that we can keep track +# of process descriptions that no longer have any active processes. +_background_processes = dict() # type: dict[str, set[_BackgroundProcess]] + + +class _Collector(object): + """A custom metrics collector for the background process metrics. + + Ensures that all of the metrics are up-to-date with any in-flight processes + before they are returned. + """ + def collect(self): + background_process_in_flight_count = GaugeMetricFamily( + "synapse_background_process_in_flight_count", + "Number of background processes in flight", + labels=["name"], + ) + + for desc, processes in six.iteritems(_background_processes): + background_process_in_flight_count.add_metric( + (desc,), len(processes), + ) + for process in processes: + process.update_metrics() + + yield background_process_in_flight_count + + # now we need to run collect() over each of the static Counters, and + # yield each metric they return. + for m in ( + _background_process_ru_utime, + _background_process_ru_stime, + _background_process_db_txn_count, + _background_process_db_txn_duration, + _background_process_db_sched_duration, + ): + for r in m.collect(): + yield r + + +REGISTRY.register(_Collector()) + + +class _BackgroundProcess(object): + def __init__(self, desc, ctx): + self.desc = desc + self._context = ctx + self._reported_stats = None + + def update_metrics(self): + """Updates the metrics with values from this process.""" + new_stats = self._context.get_resource_usage() + if self._reported_stats is None: + diff = new_stats + else: + diff = new_stats - self._reported_stats + self._reported_stats = new_stats + + _background_process_ru_utime.labels(self.desc).inc(diff.ru_utime) + _background_process_ru_stime.labels(self.desc).inc(diff.ru_stime) + _background_process_db_txn_count.labels(self.desc).inc( + diff.db_txn_count, + ) + _background_process_db_txn_duration.labels(self.desc).inc( + diff.db_txn_duration_sec, + ) + _background_process_db_sched_duration.labels(self.desc).inc( + diff.db_sched_duration_sec, + ) + + +def run_as_background_process(desc, func, *args, **kwargs): + """Run the given function in its own logcontext, with resource metrics + + This should be used to wrap processes which are fired off to run in the + background, instead of being associated with a particular request. + + Args: + desc (str): a description for this background process type + func: a function, which may return a Deferred + args: positional args for func + kwargs: keyword args for func + + Returns: None + """ + @defer.inlineCallbacks + def run(): + count = _background_process_counts.get(desc, 0) + _background_process_counts[desc] = count + 1 + _background_process_start_count.labels(desc).inc() + + with LoggingContext(desc) as context: + context.request = "%s-%i" % (desc, count) + proc = _BackgroundProcess(desc, context) + _background_processes.setdefault(desc, set()).add(proc) + try: + yield func(*args, **kwargs) + finally: + proc.update_metrics() + _background_processes[desc].remove(proc) + + with PreserveLoggingContext(): + run() diff --git a/synapse/metrics/metric.py b/synapse/metrics/metric.py deleted file mode 100644 index e87b2b80a7..0000000000 --- a/synapse/metrics/metric.py +++ /dev/null @@ -1,195 +0,0 @@ -# -*- 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. - - -from itertools import chain - - -# TODO(paul): I can't believe Python doesn't have one of these -def map_concat(func, items): - # flatten a list-of-lists - return list(chain.from_iterable(map(func, items))) - - -class BaseMetric(object): - - def __init__(self, name, labels=[]): - self.name = name - self.labels = labels # OK not to clone as we never write it - - def dimension(self): - return len(self.labels) - - def is_scalar(self): - return not len(self.labels) - - def _render_labelvalue(self, value): - # TODO: some kind of value escape - return '"%s"' % (value) - - def _render_key(self, values): - if self.is_scalar(): - return "" - return "{%s}" % ( - ",".join(["%s=%s" % (k, self._render_labelvalue(v)) - for k, v in zip(self.labels, values)]) - ) - - -class CounterMetric(BaseMetric): - """The simplest kind of metric; one that stores a monotonically-increasing - integer that counts events.""" - - def __init__(self, *args, **kwargs): - super(CounterMetric, self).__init__(*args, **kwargs) - - self.counts = {} - - # Scalar metrics are never empty - if self.is_scalar(): - self.counts[()] = 0 - - def inc_by(self, incr, *values): - if len(values) != self.dimension(): - raise ValueError( - "Expected as many values to inc() as labels (%d)" % (self.dimension()) - ) - - # TODO: should assert that the tag values are all strings - - if values not in self.counts: - self.counts[values] = incr - else: - self.counts[values] += incr - - def inc(self, *values): - self.inc_by(1, *values) - - def render_item(self, k): - return ["%s%s %d" % (self.name, self._render_key(k), self.counts[k])] - - def render(self): - return map_concat(self.render_item, sorted(self.counts.keys())) - - -class CallbackMetric(BaseMetric): - """A metric that returns the numeric value returned by a callback whenever - it is rendered. Typically this is used to implement gauges that yield the - size or other state of some in-memory object by actively querying it.""" - - def __init__(self, name, callback, labels=[]): - super(CallbackMetric, self).__init__(name, labels=labels) - - self.callback = callback - - def render(self): - value = self.callback() - - if self.is_scalar(): - return ["%s %.12g" % (self.name, value)] - - return ["%s%s %.12g" % (self.name, self._render_key(k), value[k]) - for k in sorted(value.keys())] - - -class DistributionMetric(object): - """A combination of an event counter and an accumulator, which counts - both the number of events and accumulates the total value. Typically this - could be used to keep track of method-running times, or other distributions - of values that occur in discrete occurances. - - TODO(paul): Try to export some heatmap-style stats? - """ - - def __init__(self, name, *args, **kwargs): - self.counts = CounterMetric(name + ":count", **kwargs) - self.totals = CounterMetric(name + ":total", **kwargs) - - def inc_by(self, inc, *values): - self.counts.inc(*values) - self.totals.inc_by(inc, *values) - - def render(self): - return self.counts.render() + self.totals.render() - - -class CacheMetric(object): - __slots__ = ("name", "cache_name", "hits", "misses", "size_callback") - - def __init__(self, name, size_callback, cache_name): - self.name = name - self.cache_name = cache_name - - self.hits = 0 - self.misses = 0 - - self.size_callback = size_callback - - def inc_hits(self): - self.hits += 1 - - def inc_misses(self): - self.misses += 1 - - def render(self): - size = self.size_callback() - hits = self.hits - total = self.misses + self.hits - - return [ - """%s:hits{name="%s"} %d""" % (self.name, self.cache_name, hits), - """%s:total{name="%s"} %d""" % (self.name, self.cache_name, total), - """%s:size{name="%s"} %d""" % (self.name, self.cache_name, size), - ] - - -class MemoryUsageMetric(object): - """Keeps track of the current memory usage, using psutil. - - The class will keep the current min/max/sum/counts of rss over the last - WINDOW_SIZE_SEC, by polling UPDATE_HZ times per second - """ - - UPDATE_HZ = 2 # number of times to get memory per second - WINDOW_SIZE_SEC = 30 # the size of the window in seconds - - def __init__(self, hs, psutil): - clock = hs.get_clock() - self.memory_snapshots = [] - - self.process = psutil.Process() - - clock.looping_call(self._update_curr_values, 1000 / self.UPDATE_HZ) - - def _update_curr_values(self): - max_size = self.UPDATE_HZ * self.WINDOW_SIZE_SEC - self.memory_snapshots.append(self.process.memory_info().rss) - self.memory_snapshots[:] = self.memory_snapshots[-max_size:] - - def render(self): - if not self.memory_snapshots: - return [] - - max_rss = max(self.memory_snapshots) - min_rss = min(self.memory_snapshots) - sum_rss = sum(self.memory_snapshots) - len_rss = len(self.memory_snapshots) - - return [ - "process_psutil_rss:max %d" % max_rss, - "process_psutil_rss:min %d" % min_rss, - "process_psutil_rss:total %d" % sum_rss, - "process_psutil_rss:count %d" % len_rss, - ] diff --git a/synapse/metrics/process_collector.py b/synapse/metrics/process_collector.py deleted file mode 100644 index 6fec3de399..0000000000 --- a/synapse/metrics/process_collector.py +++ /dev/null @@ -1,122 +0,0 @@ -# -*- 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 os - - -TICKS_PER_SEC = 100 -BYTES_PER_PAGE = 4096 - -HAVE_PROC_STAT = os.path.exists("/proc/stat") -HAVE_PROC_SELF_STAT = os.path.exists("/proc/self/stat") -HAVE_PROC_SELF_LIMITS = os.path.exists("/proc/self/limits") -HAVE_PROC_SELF_FD = os.path.exists("/proc/self/fd") - -# Field indexes from /proc/self/stat, taken from the proc(5) manpage -STAT_FIELDS = { - "utime": 14, - "stime": 15, - "starttime": 22, - "vsize": 23, - "rss": 24, -} - - -stats = {} - -# In order to report process_start_time_seconds we need to know the -# machine's boot time, because the value in /proc/self/stat is relative to -# this -boot_time = None -if HAVE_PROC_STAT: - with open("/proc/stat") as _procstat: - for line in _procstat: - if line.startswith("btime "): - boot_time = int(line.split()[1]) - - -def update_resource_metrics(): - if HAVE_PROC_SELF_STAT: - global stats - with open("/proc/self/stat") as s: - line = s.read() - # line is PID (command) more stats go here ... - raw_stats = line.split(") ", 1)[1].split(" ") - - for (name, index) in STAT_FIELDS.iteritems(): - # subtract 3 from the index, because proc(5) is 1-based, and - # we've lost the first two fields in PID and COMMAND above - stats[name] = int(raw_stats[index - 3]) - - -def _count_fds(): - # Not every OS will have a /proc/self/fd directory - if not HAVE_PROC_SELF_FD: - return 0 - - return len(os.listdir("/proc/self/fd")) - - -def register_process_collector(process_metrics): - process_metrics.register_collector(update_resource_metrics) - - if HAVE_PROC_SELF_STAT: - process_metrics.register_callback( - "cpu_user_seconds_total", - lambda: float(stats["utime"]) / TICKS_PER_SEC - ) - process_metrics.register_callback( - "cpu_system_seconds_total", - lambda: float(stats["stime"]) / TICKS_PER_SEC - ) - process_metrics.register_callback( - "cpu_seconds_total", - lambda: (float(stats["utime"] + stats["stime"])) / TICKS_PER_SEC - ) - - process_metrics.register_callback( - "virtual_memory_bytes", - lambda: int(stats["vsize"]) - ) - process_metrics.register_callback( - "resident_memory_bytes", - lambda: int(stats["rss"]) * BYTES_PER_PAGE - ) - - process_metrics.register_callback( - "start_time_seconds", - lambda: boot_time + int(stats["starttime"]) / TICKS_PER_SEC - ) - - if HAVE_PROC_SELF_FD: - process_metrics.register_callback( - "open_fds", - lambda: _count_fds() - ) - - if HAVE_PROC_SELF_LIMITS: - def _get_max_fds(): - with open("/proc/self/limits") as limits: - for line in limits: - if not line.startswith("Max open files "): - continue - # Line is Max open files $SOFT $HARD - return int(line.split()[3]) - return None - - process_metrics.register_callback( - "max_fds", - lambda: _get_max_fds() - ) diff --git a/synapse/metrics/resource.py b/synapse/metrics/resource.py index 870f400600..9789359077 100644 --- a/synapse/metrics/resource.py +++ b/synapse/metrics/resource.py @@ -13,27 +13,8 @@ # See the License for the specific language governing permissions and # limitations under the License. -from twisted.web.resource import Resource - -import synapse.metrics - +from prometheus_client.twisted import MetricsResource METRICS_PREFIX = "/_synapse/metrics" - -class MetricsResource(Resource): - isLeaf = True - - def __init__(self, hs): - Resource.__init__(self) # Resource is old-style, so no super() - - self.hs = hs - - def render_GET(self, request): - response = synapse.metrics.render_all() - - request.setHeader("Content-Type", "text/plain") - request.setHeader("Content-Length", str(len(response))) - - # Encode as UTF-8 (default) - return response.encode() +__all__ = ["MetricsResource", "METRICS_PREFIX"] |