loopmon is a lightweight library that can detect throttling of event loops. For example, you can detect long-running coroutine or whether the blocking function is invoked inside the event loop.
import asyncio
import time
from datetime import datetime
import loopmon
async def print_collected_data(lag: float, tasks: int, data_at: datetime) -> None:
print(f'event loop lag: {lag:.3f}, running tasks: {tasks}, at {data_at}')
async def main() -> None:
loopmon.create(interval=0.5, callbacks=[print_collected_data])
# Simple I/O bound coroutine does not occur event loop lag
await asyncio.sleep(0.2)
# Blocking function call
time.sleep(1)
if __name__ == '__main__':
asyncio.run(main())
will prints:
event loop lag: 0.000, running tasks: 2, at 2022-02-24 13:29:05.367330+00:00
event loop lag: 1.001, running tasks: 1, at 2022-02-24 13:29:06.468622+00:00
You can check other examples.
I recommend you to add loopmon.create(...)
on beginning of async function if you are not familiar with handling loop itself.
But you can also control creation, installation or staring of monitor via EventLoopMonitor.start()
or EventLoopMonitor.install_to_loop()
.
- Detects event loop lag
- Detects event loop running on other thread. example
- Collect how many tasks are running in the event loop
- Customize monitoring start and end points
- Customize monitoring interval
- Customize collected metrics through callbacks
- 100% type annotated
- Zero dependency (except
typing-extentions
)
Event loop is single threaded and based on Cooperative Scheduling. So if there is a task that does not yield to another tasks, any tasks on the loop can not be executed. And starvation also happens when there are too many tasks that a event loop can not handle.
Currently loopmon.SleepEventLoopMonitor
is one and only monitor implementation.
It periodically sleeps with remembering time just before sleep, and compares the time after awake.
The starvation happen if the difference bigger than its sleeping interval.
while True:
before = loop.time()
await asyncio.sleep(interval)
lag = loop.time() - before - interval
tasks = len(asyncio.all_tasks(loop))
data_at = datetime.now(timezone.utc)
for c in callbacks:
loop.create_task(c(lag, tasks, data_at))
from datetime import datetime
from functools import partial
import loopmon
from prometheus_client import Gauge
async def collect_lag(gauge: Gauge, lag: float, _: int, __: datetime) -> None:
gauge.set(lag)
async def main(gauge: Gauge) -> None:
loopmon.create(interval=0.5, callbacks=[partial(collect_lag, gauge)])
...