# structlog-sentry | What | Where | | ------------- | --------------------------------------------- | | Documentation | | | Maintainer | @kiwicom/platform | Based on ## Installation Install the package with [pip](https://pip.pypa.io/): ``` pip install structlog-sentry ``` ## Usage This module is intended to be used with `structlog` like this: ```python import sentry_sdk import structlog from structlog_sentry import SentryProcessor sentry_sdk.init() # pass dsn in argument or via SENTRY_DSN env variable structlog.configure( processors=[ structlog.stdlib.add_logger_name, # optional, must be placed before SentryProcessor() structlog.stdlib.add_log_level, # required before SentryProcessor() SentryProcessor(event_level=logging.ERROR), ], logger_factory=structlog.stdlib.LoggerFactory(), wrapper_class=structlog.stdlib.BoundLogger, ) log = structlog.get_logger() ``` Do not forget to add the `structlog.stdlib.add_log_level` and optionally the `structlog.stdlib.add_logger_name` processors before `SentryProcessor`. The `SentryProcessor` class takes the following arguments: - `level` Events of this or higher levels will be reported as Sentry breadcrumbs. Default is `logging.INFO`. - `event_level` Events of this or higher levels will be reported to Sentry as events. Default is `logging.WARNING`. - `active` A flag to make this processor enabled/disabled. - `as_context` Send `event_dict` as extra info to Sentry. Default is `True`. - `ignore_breadcrumb_data` A list of data keys that will be excluded from [breadcrumb data](https://docs.sentry.io/platforms/python/enriching-events/breadcrumbs/#manual-breadcrumbs). Defaults to keys which are already sent separately, i.e. `level`, `logger`, `event` and `timestamp`. All other data in `event_dict` will be sent as breadcrumb data. - `tag_keys` A list of keys. If any if these keys appear in `event_dict`, the key and its corresponding value in `event_dict` will be used as Sentry event tags. use `"__all__"` to report all key/value pairs of event as tags. - `ignore_loggers` A list of logger names to ignore any events from. - `verbose` Report the action taken by the logger in the `event_dict`. Default is `False`. - `scope` Optionally specify `sentry_sdk.Client` (in `structlog-sentry<2.2` this corresponds to `hub: sentry_sdk.Hub`). Now events are automatically captured by Sentry with `log.error()`: ```python try: 1/0 except ZeroDivisionError: log.error("zero divsiion") try: resp = requests.get(f"https://api.example.com/users/{user_id}/") resp.raise_for_status() except RequestException: log.error("request error", user_id=user_id) ``` This won't automatically collect `sys.exc_info()` along with the message, if you want to enable this behavior, just pass `exc_info=True`. When you want to use structlog's built-in [`format_exc_info`](http://www.structlog.org/en/stable/api.html#structlog.processors.format_exc_info) processor, make that the `SentryProcessor` comes _before_ `format_exc_info`! Otherwise, the `SentryProcessor` won't have an `exc_info` to work with, because it's removed from the event by `format_exc_info`. Logging calls with no `sys.exc_info()` are also automatically captured by Sentry either as breadcrumbs (if configured by the `level` argument) or as events: ```python log.info("info message", scope="accounts") log.warning("warning message", scope="invoices") log.error("error message", scope="products") ``` If you do not want to forward a specific logs into Sentry, you can pass the `sentry_skip=True` optional argument to logger methods, like this: ```python log.error("error message", sentry_skip=True) ``` ### Sentry Tags You can set some or all of key/value pairs of structlog `event_dict` as sentry `tags`: ```python structlog.configure( processors=[ structlog.stdlib.add_logger_name, structlog.stdlib.add_log_level, SentryProcessor(event_level=logging.ERROR, tag_keys=["city", "timezone"]), ],... ) log.error("error message", city="Tehran", timezone="UTC+3:30", movie_title="Some title") ``` this will report the error and the sentry event will have **city** and **timezone** tags. If you want to have all event data as tags, create the `SentryProcessor` with `tag_keys="__all__"`. ```python structlog.configure( processors=[ structlog.stdlib.add_logger_name, structlog.stdlib.add_log_level, SentryProcessor(event_level=logging.ERROR, tag_keys="__all__"), ],... ) ``` ### Skip Context By default `SentryProcessor` will send `event_dict` key/value pairs as contextual info to sentry. Sometimes you may want to skip this, specially when sending the `event_dict` as sentry tags: ```python structlog.configure( processors=[ structlog.stdlib.add_logger_name, structlog.stdlib.add_log_level, SentryProcessor(event_level=logging.ERROR, as_context=False, tag_keys="__all__"), ],... ) ``` ### Ignore specific loggers If you want to ignore specific loggers from being processed by the `SentryProcessor` just pass a list of loggers when instantiating the processor: ```python structlog.configure( processors=[ structlog.stdlib.add_logger_name, structlog.stdlib.add_log_level, SentryProcessor(event_level=logging.ERROR, ignore_loggers=["some.logger"]), ],... ) ``` ### Logging as JSON If you want to configure `structlog` to format the output as **JSON** (maybe for [elk-stack](https://www.elastic.co/elk-stack)) you have to disable standard logging integration in Sentry SDK by passing the `LoggingIntegration(event_level=None, level=None)` instance to `sentry_sdk.init` method. This prevents duplication of an event reported to sentry: ```python from sentry_sdk.integrations.logging import LoggingIntegration INTEGRATIONS = [ # ... other integrations LoggingIntegration(event_level=None, level=None), ] sentry_sdk.init(integrations=INTEGRATIONS) ``` This integration tells `sentry_sdk` to _ignore_ standard logging and captures the events manually. ## Testing To run all tests: ``` tox ``` ## Contributing Create a merge request and tag @kiwicom/platform for review.