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JSON-based logging for the masses

Project description

Write your logs as json-lines.

Source Code aweber/json-scribe
Downloads json-scribe @

This library is the result of sending docker container logs to loggly. Loggly works well with structured Syslog data but if you pass structured Syslog lines to an aggregator as JSON you end up with an unindexed mess. This library includes a few classes that make it easier and cleaner to send log content as JSON objects on single lines including exceptions.



   "version": 1,
   "filters": {
      "defaultsetter": {
         "()": "jsonscribe.AttributeSetter",
         "add_fields": {
            "correlation_id": "ext://UUID"
   "formatters": {
      "jsonlines": {
         "()": "jsonscribe.JSONFormatter",
         "include_fields": [
   "handlers": {
      "loggly": {
         "class": "logging.StreamHandler",
         "formatter": "jsonlines",
         "filters": ["defaultsetter"],
         "stream": "ext://sys.stdout"
   "loggers": {
      "somepackage": {
         "level": "DEBUG",
   "root": {
      "level": "INFO",
      "handlers": ["jsonlines"]


The following snippet is the simplest usage. It is nothing more than the textbook usage of the logging module. It uses the logging configuration from above and generates a JSON blob.

import logging.config
import json

if __name__ == '__main__':
   config = json.load(open('config.json'))
   logger = logging.getLogger(__package__).getChild('main')'processing request')

The JSON message looks something like the following. It is reformatted to make it readable. The default is to render it as compact JSON.

   "name": "somepackage.main",
   "levelname": "INFO",
   "asctime": "2018-08-09T07:44:54.231",
   "module": "somepackage.entrypoints",
   "correlation_id": "33CA3FB3-D66F-4D32-83A5-D5A8C3D92A6E",
   "message": "processing request",
   "exc_info": null

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