mirror of
https://mau.dev/maunium/synapse.git
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256 lines
7.0 KiB
Python
256 lines
7.0 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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import os
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import platform
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import attr
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from prometheus_client import Gauge, Histogram, Counter
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from prometheus_client.core import GaugeMetricFamily, REGISTRY
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from twisted.internet import reactor
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logger = logging.getLogger(__name__)
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running_on_pypy = platform.python_implementation() == "PyPy"
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all_metrics = []
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all_collectors = []
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all_gauges = {}
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class RegistryProxy(object):
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def collect(self):
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for metric in REGISTRY.collect():
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if not metric.name.startswith("__"):
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yield metric
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@attr.s(hash=True)
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class LaterGauge(object):
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name = attr.ib()
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desc = attr.ib()
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labels = attr.ib(hash=False)
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caller = attr.ib()
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def collect(self):
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g = GaugeMetricFamily(self.name, self.desc, labels=self.labels)
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try:
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calls = self.caller()
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except Exception as e:
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print(e)
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logger.err()
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yield g
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if isinstance(calls, dict):
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for k, v in calls.items():
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g.add_metric(k, v)
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else:
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g.add_metric([], calls)
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yield g
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def __attrs_post_init__(self):
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self._register()
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def _register(self):
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if self.name in all_gauges.keys():
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logger.warning("%s already registered, reregistering" % (self.name,))
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REGISTRY.unregister(all_gauges.pop(self.name))
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REGISTRY.register(self)
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all_gauges[self.name] = self
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#
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# Detailed CPU metrics
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#
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class CPUMetrics(object):
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def __init__(self):
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ticks_per_sec = 100
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try:
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# Try and get the system config
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ticks_per_sec = os.sysconf('SC_CLK_TCK')
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except (ValueError, TypeError, AttributeError):
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pass
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self.ticks_per_sec = ticks_per_sec
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def collect(self):
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with open("/proc/self/stat") as s:
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line = s.read()
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raw_stats = line.split(") ", 1)[1].split(" ")
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user = GaugeMetricFamily("process_cpu_user_seconds_total", "")
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user.add_metric([], float(raw_stats[11]) / self.ticks_per_sec)
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yield user
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sys = GaugeMetricFamily("process_cpu_system_seconds_total", "")
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sys.add_metric([], float(raw_stats[12]) / self.ticks_per_sec)
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yield sys
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REGISTRY.register(CPUMetrics())
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#
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# Python GC metrics
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#
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gc_unreachable = Gauge("python_gc_unreachable_total", "Unreachable GC objects", ["gen"])
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gc_time = Histogram(
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"python_gc_time",
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"Time taken to GC (sec)",
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["gen"],
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buckets=[0.0025, 0.005, 0.01, 0.025, 0.05, 0.10, 0.25, 0.50, 1.00, 2.50,
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5.00, 7.50, 15.00, 30.00, 45.00, 60.00],
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)
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class GCCounts(object):
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def collect(self):
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cm = GaugeMetricFamily("python_gc_counts", "GC cycle counts", labels=["gen"])
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for n, m in enumerate(gc.get_count()):
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cm.add_metric([str(n)], m)
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yield cm
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REGISTRY.register(GCCounts())
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#
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# Twisted reactor metrics
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#
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tick_time = Histogram(
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"python_twisted_reactor_tick_time",
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"Tick time of the Twisted reactor (sec)",
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buckets=[0.001, 0.002, 0.005, 0.01, 0.025, 0.05, 0.1, 0.2, 0.5, 1, 2, 5],
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)
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pending_calls_metric = Histogram(
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"python_twisted_reactor_pending_calls",
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"Pending calls",
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buckets=[1, 2, 5, 10, 25, 50, 100, 250, 500, 1000],
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)
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#
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# Federation Metrics
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#
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sent_edus_counter = Counter("synapse_federation_client_sent_edus", "")
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sent_transactions_counter = Counter("synapse_federation_client_sent_transactions", "")
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events_processed_counter = Counter("synapse_federation_client_events_processed", "")
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# Used to track where various components have processed in the event stream,
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# e.g. federation sending, appservice sending, etc.
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event_processing_positions = Gauge("synapse_event_processing_positions", "", ["name"])
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# Used to track the current max events stream position
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event_persisted_position = Gauge("synapse_event_persisted_position", "")
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# Used to track the received_ts of the last event processed by various
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# components
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event_processing_last_ts = Gauge("synapse_event_processing_last_ts", "", ["name"])
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# Used to track the lag processing events. This is the time difference
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# between the last processed event's received_ts and the time it was
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# finished being processed.
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event_processing_lag = Gauge("synapse_event_processing_lag", "", ["name"])
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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()
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ret = func(*args, **kwargs)
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end = time.time()
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# record the amount of wallclock time spent running pending calls.
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# This is a proxy for the actual amount of time between reactor polls,
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# since about 25% of time is actually spent running things triggered by
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# I/O events, but that is harder to capture without rewriting half the
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# reactor.
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tick_time.observe(end - start)
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pending_calls_metric.observe(num_pending)
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if running_on_pypy:
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return ret
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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()
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unreachable = gc.collect(i)
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end = time.time()
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gc_time.labels(i).observe(end - start)
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gc_unreachable.labels(i).set(unreachable)
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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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if not running_on_pypy:
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gc.disable()
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except AttributeError:
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pass
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