Structured Logging for Python
Project description
structlog: Structured Logging for Python
structlog makes logging in Python less painful and more powerful by adding structure to your log entries.
It’s up to you whether you want structlog to take care about the output of your log entries or whether you prefer to forward them to an existing logging system like the standard library’s logging module.
Once you feel inspired to try it out, check out our friendly Getting Started tutorial that also contains detailed installation instructions!
If you prefer videos over reading, check out this DjangoCon Europe 2019 talk by Markus Holtermann: “Logging Rethought 2: The Actions of Frank Taylor Jr.”.
Easier Logging
You can stop writing prose and start thinking in terms of an event that happens in the context of key/value pairs:
>>> from structlog import get_logger
>>> log = get_logger()
>>> log.info("key_value_logging", out_of_the_box=True, effort=0)
2016-04-20 16:20.13 key_value_logging effort=0 out_of_the_box=True
Each log entry is a meaningful dictionary instead of an opaque string now!
Data Binding
Since log entries are dictionaries, you can start binding and re-binding key/value pairs to your loggers to ensure they are present in every following logging call:
>>> log = log.bind(user="anonymous", some_key=23)
>>> log = log.bind(user="hynek", another_key=42)
>>> log.info("user.logged_in", happy=True)
2016-04-20 16:20.13 user.logged_in another_key=42 happy=True some_key=23 user='hynek'
Powerful Pipelines
Each log entry goes through a processor pipeline that is just a chain of functions that receive a dictionary and return a new dictionary that gets fed into the next function. That allows for simple but powerful data manipulation:
def timestamper(logger, log_method, event_dict):
"""Add a timestamp to each log entry."""
event_dict["timestamp"] = time.time()
return event_dict
There are plenty of processors for most common tasks coming with structlog:
Collectors of call stack information (“How did this log entry happen?”),
…and exceptions (“What happened‽”).
Unicode encoders/decoders.
Flexible timestamping.
Formatting
structlog is completely flexible about how the resulting log entry is emitted. Since each log entry is a dictionary, it can be formatted to any format:
A colorful key/value format for local development,
JSON for easy parsing,
or some standard format you have parsers for like nginx or Apache httpd.
Internally, formatters are processors whose return value (usually a string) is passed into loggers that are responsible for the output of your message. structlog comes with multiple useful formatters out-of-the-box.
Output
structlog is also very flexible with the final output of your log entries:
A built-in lightweight printer like in the examples above. Easy to use and fast.
Use the standard library’s or Twisted’s logging modules for compatibility. In this case structlog works like a wrapper that formats a string and passes them off into existing systems that won’t ever know that structlog even exists. Or the other way round: structlog comes with a logging formatter that allows for processing third party log records.
Don’t format it to a string at all! structlog passes you a dictionary and you can do with it whatever you want. Reported uses cases are sending them out via network or saving them in a database.
Getting Help
Please use the structlog tag on StackOverflow to get help.
Answering questions of your fellow developers is also great way to help the project!
Project Information
structlog is dual-licensed under Apache License, version 2 and MIT, available from PyPI, the source code can be found on GitHub, the documentation at https://www.structlog.org/.
We collect useful third party extension in our wiki.
structlog targets Python 2.7, 3.5 and newer, and PyPy.
Release Information
19.2.0 (2019-10-16)
Backward-incompatible changes:
Python 3.4 is not supported anymore. It has been unsupported by the Python core team for a while now and its PyPI downloads are negligible.
It’s very unlikely that structlog will break under 3.4 anytime soon, but we don’t test it anymore.
Deprecations:
none
Changes:
Full Python 3.8 support for structlog.stdlib.
Added more pass-through properties to structlog.stdlib.BoundLogger. To makes it easier to use it as a drop-in replacement for logging.Logger. #198
structlog.stdlib.ProcessorFormatter now takes a logger object as an optional keyword argument. This makes ProcessorFormatter work properly with stuctlog.stdlib.filter_by_level(). #219
structlog.dev.ConsoleRenderer now uses no colors by default, if colorama is not available. #215
structlog.dev.ConsoleRenderer now initializes colorama lazily, to prevent accidental side-effects just by importing structlog. #210
Added new processor structlog.dev.set_exc_info() that will set exc_info=True if the method’s name is exception and exc_info isn’t set at all. This is only necessary when the standard library integration is not used. It fixes the problem that in the default configuration, structlog.get_logger().exception("hi") in an except block would not print the exception without passing exc_info=True to it explicitly. #130, #173, #200, #204
A best effort has been made to make as much of structlog pickleable as possible to make it friendlier with multiprocessing and similar libraries. Some classes can only be pickled on Python 3 or using the dill library though and that is very unlikely to change.
So far, the configuration proxy, structlog.processor.TimeStamper, structlog.BoundLogger, structlog.PrintLogger and structlog.dev.ConsoleRenderer have been made pickelable. Please report if you need any another class fixed. #126
Added a new thread-local API that allows binding values to a thread-local context explicitly without affecting the default behavior of bind(). #222, #225
Added pass_foreign_args argument to structlog.stdlib.ProcessorFormatter. It allows to pass a foreign log record’s args attribute to the event dictionary under the positional_args key. #228
structlog.dev.ConsoleRenderer now calls str() on the event value. #221
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