json-logging-python | native distributed Python logging library to emit JSON log
kandi X-RAY | json-logging-python Summary
kandi X-RAY | json-logging-python Summary
Python logging library to emit JSON log that can be easily indexed and searchable by logging infrastructure such as ELK , EFK , AWS Cloudwatch, GCP Stackdriver. If you're using Cloud Foundry, it might worth to check out the library SAP/cf-python-logging-support which I'm also original author.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Returns the correlation ID for the given request
- Get the correlation id from the request header
- Get the correlation id for the request
- Get request from stack
- Format log record
- Return the fields of the exception
- Sanitize log message
- Format record
- Get extra fields from a log record
- Format a log record
- Configure a Flask application
- Check if Sanic is present
- Configure the application
- Check if the connection is present
- Configure Flask application
- Checks if flask is installed
- Configure application logging
- Check if Quart is present
- Configure sanic
- Get library logger
- Dispatch the request
- Register a framework support
- Create a Flask application
json-logging-python Key Features
json-logging-python Examples and Code Snippets
Community Discussions
Trending Discussions on json-logging-python
QUESTION
I have a fastAPI application where I would like to get the default logs written to the STDOUT with following data and in JSON format:
App logs should look like this:
...ANSWER
Answered 2022-Feb-22 at 12:51You could do that by creating a custom Formatter using the built-in logger module. You can use the extra
parameter when logging messages to pass contextual information, such as url and headers. Python's JSON module already implements pretty-printing JSON data in the dump()
function, using the indent
parameter to define the indent level. Below is a working example using a custom formatter to log messages in the format you described in your question. For App logs use, for instance, logger.info('sample log message')
, whereas, for Access logs, use logger.info('sample log message', extra={'extra_info': get_extra_info(request)})
. By passing the request
instance to the get_extra_info()
method, you can extract information such as the one you mentioned above. For more LogRecord attributes, have a look here. The below example uses a FileHandler
for logging the messages in a log file as well. If you don't need that, you can comment it out in the get_logger()
method.
app_logger.py
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install json-logging-python
You can use json-logging-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page