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Aiogram Based Metrics Collection for Prometheus
status
of bots and dispatchersnetwork activity
event handler performance
pip install aiogram-prometheus
storage
usage metricsupdates
import os
import aiogram
from aiogram import Bot, Dispatcher
from aiogram.fsm.storage.memory import MemoryStorage
from aiogram_prometheus import PrometheusUpdatesMiddleware, PrometheusWrapperStorage
bot = Bot(os.environ['ENV_TG_BOT'])
dp = Dispatcher(storage=PrometheusWrapperStorage(MemoryStorage()))
dp.update.middleware(PrometheusUpdatesMiddleware())
if __name__ == '__main__':
asyncio.run(dp.start_polling(bot))
A wrapper around any storage you use that will collect usage metrics
from aiogram import Bot, Dispatcher
from aiogram.fsm.storage.memory import MemoryStorage
from aiogram_prometheus import PrometheusWrapperStorage
dp = Dispatcher(storage=PrometheusWrapperStorage(MemoryStorage()))
Intermediate layer for collecting metrics of updates processing
from aiogram import Dispatcher
from aiogram_prometheus import PrometheusUpdatesMiddleware
dp = Dispatcher()
dp.update.middleware(PrometheusUpdatesMiddleware())
Issue Tracker: https://gitlab.com/rocshers/python/aiogram-prometheus/-/issues
Source Code: https://gitlab.com/rocshers/python/aiogram-prometheus
Before adding changes:
make install-dev
After changes:
make format test
FAQs
Aiogram Based Metrics Collection for Prometheus
We found that aiogram-prometheus demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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