Source code for gwcelery.sentry
"""Error telemetry for `Sentry <https://sentry.io>`_."""
from urllib.parse import urlparse, urlunparse
import sentry_sdk
from celery.utils.log import get_logger
from safe_netrc import NetrcParseError, netrc
from sentry_sdk.integrations import celery, flask, logging, redis, tornado
from .. import _version
from ..util import SPHINX
from .integrations import condor, requests, subprocess
log = get_logger(__name__)
__all__ = ('configure', 'DSN')
DSN = 'https://sentry.io/1425216'
"""Sentry data source name (DSN)."""
[docs]def configure():
"""Configure Sentry logging integration for Celery.
See the `official instructions for Celery integration
<https://docs.sentry.io/platforms/python/celery/>`_.
Notes
-----
Add the API key username/pasword pair to your netrc file.
"""
# Catching NetrcParseError confuses sphinx.
if SPHINX: # pragma: no cover
return
# Delayed import
from .. import app
scheme, netloc, *rest = urlparse(DSN)
try:
auth = netrc().authenticators(netloc)
if not auth:
raise ValueError('No netrc entry found for {}'.format(netloc))
except (NetrcParseError, OSError, ValueError):
log.exception('Disabling Sentry integration because we could not load '
'the username and password for %s from the netrc file',
netloc)
return
# Ignore noisy log but harmless messsages from adc-streaming.
#
# FIXME: Remove once https://git.ligo.org/emfollow/gwcelery/-/issues/457
# is fixed.
logging.ignore_logger('adc-streaming')
# The "legacy" Sentry DSN requires a "public key" and a "private key",
# which are transmitted as the username and password in the URL.
# However, as of Sentry 9, then "private key" part is no longer required.
username, _, _ = auth
dsn = urlunparse(
(scheme, '{}@{}'.format(username, netloc), *rest))
version = 'gwcelery-{}'.format(_version.get_versions()['version'])
environment = app.conf['sentry_environment']
sentry_sdk.init(dsn, environment=environment, release=version,
integrations=[celery.CeleryIntegration(),
condor.CondorIntegration(),
flask.FlaskIntegration(),
redis.RedisIntegration(),
requests.RequestsIntegration(),
subprocess.SubprocessIntegration(),
tornado.TornadoIntegration()])