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# -*- coding: utf-8 -*-
# Copyright 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
from functools import wraps
from prometheus_client import Counter
from twisted.internet import defer
from synapse.metrics import InFlightGauge
from synapse.util.logcontext import LoggingContext
logger = logging.getLogger(__name__)
block_counter = Counter("synapse_util_metrics_block_count", "", ["block_name"])
block_timer = Counter("synapse_util_metrics_block_time_seconds", "", ["block_name"])
block_ru_utime = Counter(
"synapse_util_metrics_block_ru_utime_seconds", "", ["block_name"])
block_ru_stime = Counter(
"synapse_util_metrics_block_ru_stime_seconds", "", ["block_name"])
block_db_txn_count = Counter(
"synapse_util_metrics_block_db_txn_count", "", ["block_name"])
# seconds spent waiting for db txns, excluding scheduling time, in this block
block_db_txn_duration = Counter(
"synapse_util_metrics_block_db_txn_duration_seconds", "", ["block_name"])
# seconds spent waiting for a db connection, in this block
block_db_sched_duration = Counter(
"synapse_util_metrics_block_db_sched_duration_seconds", "", ["block_name"])
# Tracks the number of blocks currently active
in_flight = InFlightGauge(
"synapse_util_metrics_block_in_flight", "",
labels=["block_name"],
sub_metrics=["real_time_max", "real_time_sum"],
)
def measure_func(name):
def wrapper(func):
@wraps(func)
@defer.inlineCallbacks
def measured_func(self, *args, **kwargs):
with Measure(self.clock, name):
r = yield func(self, *args, **kwargs)
defer.returnValue(r)
return measured_func
return wrapper
class Measure(object):
__slots__ = [
"clock", "name", "start_context", "start",
"created_context",
"start_usage",
]
def __init__(self, clock, name):
self.clock = clock
self.name = name
self.start_context = None
self.start = None
self.created_context = False
def __enter__(self):
self.start = self.clock.time()
self.start_context = LoggingContext.current_context()
if not self.start_context:
self.start_context = LoggingContext("Measure")
self.start_context.__enter__()
self.created_context = True
self.start_usage = self.start_context.get_resource_usage()
in_flight.register((self.name,), self._update_in_flight)
def __exit__(self, exc_type, exc_val, exc_tb):
if isinstance(exc_type, Exception) or not self.start_context:
return
in_flight.unregister((self.name,), self._update_in_flight)
duration = self.clock.time() - self.start
block_counter.labels(self.name).inc()
block_timer.labels(self.name).inc(duration)
context = LoggingContext.current_context()
if context != self.start_context:
logger.warn(
"Context has unexpectedly changed from '%s' to '%s'. (%r)",
self.start_context, context, self.name
)
return
if not context:
logger.warn("Expected context. (%r)", self.name)
return
current = context.get_resource_usage()
usage = current - self.start_usage
try:
block_ru_utime.labels(self.name).inc(usage.ru_utime)
block_ru_stime.labels(self.name).inc(usage.ru_stime)
block_db_txn_count.labels(self.name).inc(usage.db_txn_count)
block_db_txn_duration.labels(self.name).inc(usage.db_txn_duration_sec)
block_db_sched_duration.labels(self.name).inc(usage.db_sched_duration_sec)
except ValueError:
logger.warn(
"Failed to save metrics! OLD: %r, NEW: %r",
self.start_usage, current
)
if self.created_context:
self.start_context.__exit__(exc_type, exc_val, exc_tb)
def _update_in_flight(self, metrics):
"""Gets called when processing in flight metrics
"""
duration = self.clock.time() - self.start
metrics.real_time_max = max(metrics.real_time_max, duration)
metrics.real_time_sum += duration
# TODO: Add other in flight metrics.
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