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.
pip install "sentry-sdk"
AsyncioIntegration works by instrumenting the current event loop, which is why it needs to be enabled when there's an event loop running.
Add AsyncioIntegration() to your list of integrations, enable tracing and be sure to call sentry_sdk.init() at the beginning of the first async function you call, as shown in the example below.
main.pyimport sentry_sdk
from sentry_sdk.integrations.asyncio import AsyncioIntegration
async def main():
sentry_sdk.init(
dsn="___PUBLIC_DSN___",
# Add data like request headers and IP for users, if applicable;
# see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
send_default_pii=True,
# ___PRODUCT_OPTION_START___ performance
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for tracing.
traces_sample_rate=1.0,
# ___PRODUCT_OPTION_END___ performance
# ___PRODUCT_OPTION_START___ profiling
# To collect profiles for all profile sessions,
# set `profile_session_sample_rate` to 1.0.
profile_session_sample_rate=1.0,
# Profiles will be automatically collected while
# there is an active span.
profile_lifecycle="trace",
# ___PRODUCT_OPTION_END___ profiling
integrations=[
AsyncioIntegration(),
],
)
# your code goes here.
...
asyncio.run(main())
Alternatively, if you're not in control of the event loop, you have multiple event loops, or you simply need a way to enable the integration on demand without setting up the whole SDK each time, you can use the sentry_sdk.integrations.asyncio.enable_asyncio_integration helper function.
main.pyimport sentry_sdk
from sentry_sdk.integrations.asyncio import enable_asyncio_integration
# Initializing the SDK as early as possible, when there is no event loop yet
sentry_sdk.init(
dsn="___PUBLIC_DSN___",
# Add data like request headers and IP for users, if applicable;
# see https://docs.sentry.io/platforms/python/data-management/data-collected/ for more info
send_default_pii=True,
# ___PRODUCT_OPTION_START___ performance
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for tracing.
traces_sample_rate=1.0,
# ___PRODUCT_OPTION_END___ performance
# ___PRODUCT_OPTION_START___ profiling
# To collect profiles for all profile sessions,
# set `profile_session_sample_rate` to 1.0.
profile_session_sample_rate=1.0,
# Profiles will be automatically collected while
# there is an active span.
profile_lifecycle="trace",
# ___PRODUCT_OPTION_END___ profiling
# No AsyncioIntegration in explicitly provided `integrations`
)
async def main():
enable_asyncio_integration() # instruments the current event loop
# Your code...
Trigger an error in your code and see it show up in sentry.io.
main.pyimport asyncio
import sentry_sdk
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.
- By default, every executed task will be instrumented and show up in the performance waterfall on Sentry.io. This behavior can be disabled by providing the
task_spans=Falseflag to theAsyncioIntegration()or to theenable_asyncio_integration()helper:
import sentry_sdk
from sentry_sdk.integrations.asyncio import AsyncioIntegration, enable_asyncio_integration
sentry_sdk.init(
integrations=[AsyncioIntegration(task_spans=False)],
)
# Or:
enable_asyncio_integration(task_spans=False)
- Python: 3.7+
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