forked-synapse/synapse/util/metrics.py

# 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 types import TracebackType
from typing import Any, Callable, Optional, Type, TypeVar, cast

from prometheus_client import Counter
from typing_extensions import Protocol

from synapse.logging.context import (
    ContextResourceUsage,
    LoggingContext,
    current_context,
)
from synapse.metrics import InFlightGauge
from synapse.util import Clock

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"]
)


# This is dynamically created in InFlightGauge.__init__.
class _InFlightMetric(Protocol):
    real_time_max: float
    real_time_sum: float


# Tracks the number of blocks currently active
in_flight: InFlightGauge[_InFlightMetric] = InFlightGauge(
    "synapse_util_metrics_block_in_flight",
    "",
    labels=["block_name"],
    sub_metrics=["real_time_max", "real_time_sum"],
)


T = TypeVar("T", bound=Callable[..., Any])


class HasClock(Protocol):
    clock: Clock


def measure_func(name: Optional[str] = None) -> Callable[[T], T]:
    """
    Used to decorate an async function with a `Measure` context manager.

    Usage:

    @measure_func()
    async def foo(...):
        ...

    Which is analogous to:

    async def foo(...):
        with Measure(...):
            ...

    """

    def wrapper(func: T) -> T:
        block_name = func.__name__ if name is None else name

        @wraps(func)
        async def measured_func(self: HasClock, *args: Any, **kwargs: Any) -> Any:
            with Measure(self.clock, block_name):
                r = await func(self, *args, **kwargs)
            return r

        return cast(T, measured_func)

    return wrapper


class Measure:
    __slots__ = [
        "clock",
        "name",
        "_logging_context",
        "start",
    ]

    def __init__(self, clock: Clock, name: str) -> None:
        """
        Args:
            clock: An object with a "time()" method, which returns the current
                time in seconds.
            name: The name of the metric to report.
        """
        self.clock = clock
        self.name = name
        curr_context = current_context()
        if not curr_context:
            logger.warning(
                "Starting metrics collection %r from sentinel context: metrics will be lost",
                name,
            )
            parent_context = None
        else:
            assert isinstance(curr_context, LoggingContext)
            parent_context = curr_context
        self._logging_context = LoggingContext(str(curr_context), parent_context)
        self.start: Optional[float] = None

    def __enter__(self) -> "Measure":
        if self.start is not None:
            raise RuntimeError("Measure() objects cannot be re-used")

        self.start = self.clock.time()
        self._logging_context.__enter__()
        in_flight.register((self.name,), self._update_in_flight)

        logger.debug("Entering block %s", self.name)

        return self

    def __exit__(
        self,
        exc_type: Optional[Type[BaseException]],
        exc_val: Optional[BaseException],
        exc_tb: Optional[TracebackType],
    ) -> None:
        if self.start is None:
            raise RuntimeError("Measure() block exited without being entered")

        logger.debug("Exiting block %s", self.name)

        duration = self.clock.time() - self.start
        usage = self.get_resource_usage()

        in_flight.unregister((self.name,), self._update_in_flight)
        self._logging_context.__exit__(exc_type, exc_val, exc_tb)

        try:
            block_counter.labels(self.name).inc()
            block_timer.labels(self.name).inc(duration)
            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.warning("Failed to save metrics! Usage: %s", usage)

    def get_resource_usage(self) -> ContextResourceUsage:
        """Get the resources used within this Measure block

        If the Measure block is still active, returns the resource usage so far.
        """
        return self._logging_context.get_resource_usage()

    def _update_in_flight(self, metrics: _InFlightMetric) -> None:
        """Gets called when processing in flight metrics"""
        assert self.start is not None
        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.