asyncio

Learn about the asyncio integration and how it adds support for applications the asyncio module.

The AsyncioIntegration integrates with applications doing concurrent code execution using Python's asyncio module.

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pip install --upgrade 'sentry-sdk'

Add AsyncioIntegration() to your list of integrations, enable tracing and be sure to call sentry_sdk.init() at the beginning of your async loop:

In addition to capturing errors, you can monitor interactions between multiple services or applications by enabling tracing. You can also collect and analyze performance profiles from real users with profiling.

Select which Sentry features you'd like to install in addition to Error Monitoring to get the corresponding installation and configuration instructions below.

main.py
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import sentry_sdk
from sentry_sdk.integrations.asyncio import AsyncioIntegration

async def main():
    sentry_sdk.init(
        dsn="https://examplePublicKey@o0.ingest.sentry.io/0",
        # Set traces_sample_rate to 1.0 to capture 100%
        # of transactions for tracing.
        traces_sample_rate=1.0,
        # Set profiles_sample_rate to 1.0 to profile 100%
        # of sampled transactions.
        # We recommend adjusting this value in production.
        profiles_sample_rate=1.0,
        integrations=[
            AsyncioIntegration(),
        ],
    )

    # your code goes here.
    ...

asyncio.run(main())

Trigger an error in your code and see it show up in sentry.io.

main.py
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import asyncio

import sentry_sdk
from sentry_sdk.integrations.asyncio import AsyncioIntegration

async def my_task():
    1 / 0  # raises an error!

async def main():
    sentry_sdk.init(...)  # same as above
    asyncio.create_task(my_task())

asyncio.run(main())

  • All unhandled exceptions in tasks will be captured
  • Every executed Task will be instrumented and show up in the performance waterfall on Sentry.io

  • Python: 3.7+
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