问题
I recently read about structured logging (here). The idea seems to be to log not by appending simple strings as a line to a logfile, but instead JSON objects. This makes it possible to analyze the logfile by automatic tools.
Can Pythons logging
library do structured logging? If not, is there a "mainstream" solution for it (e.g. like numpy/scipy is the mainstream solution for scientific calculations)? I found structlog, but I'm not sure how widespread it is.
回答1:
Have you looked at python docs site section describing Implementing structured logging that explain how python
built-in logger can be utilized for structured logging?
Below is a simple example as listed on above site .
import json
import logging
class StructuredMessage(object):
def __init__(self, message, **kwargs):
self.message = message
self.kwargs = kwargs
def __str__(self):
return '%s >>> %s' % (self.message, json.dumps(self.kwargs))
m = StructuredMessage # optional, to improve readability
logging.basicConfig(level=logging.INFO, format='%(message)s')
logging.info(m('message 1', foo='bar', bar='baz', num=123, fnum=123.456))
Which results in following log.
message 1 >>> {"fnum": 123.456, "num": 123, "bar": "baz", "foo": "bar"}
Hope this helps.
回答2:
If you install python-json-logger (288 stars, 70 forks) and have a logging configuration (YAML) like the following, you will get a structured logging file.
version: 1
formatters:
detailed:
class: logging.Formatter
format: '[%(asctime)s]:[%(levelname)s]: %(message)s'
json:
class: pythonjsonlogger.jsonlogger.JsonFormatter
format: '%(asctime)s %(levelname)s %(message)s'
handlers:
console:
class: logging.StreamHandler
level: INFO
formatter: detailed
file:
class: logging.FileHandler
filename: logfile.log
level: DEBUG
formatter: json
root:
level: DEBUG
handlers:
- console
- file
Exceptions
You might also want to make exceptions / tracebacks use the structured format.
See Can I make Python output exceptions in one line / via logging?
来源:https://stackoverflow.com/questions/48170682/can-structured-logging-be-done-with-pythons-standard-library