aiologger | Asynchronous logging for python and asyncio | Reactive Programming library
kandi X-RAY | aiologger Summary
kandi X-RAY | aiologger Summary
Asynchronous logging for python and asyncio
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Top functions reviewed by kandi - BETA
- Calculate rollover time .
- Initialize the log record .
- Ensure the given message is a string .
- Format the time of a log record .
- Decorate a function into a class .
- Rotate file to destination .
- Return the fields for a log record .
- Get the log level name .
- Filters the given record .
- Check if level is valid .
aiologger Key Features
aiologger Examples and Code Snippets
Community Discussions
Trending Discussions on aiologger
QUESTION
When I use aiologger, I have to write await logger
many times.
For example,
...ANSWER
Answered 2021-Nov-19 at 02:32async def main():
logger = Logger.with_default_handlers(name='my-logger')
async def al(s1: str, s2: str):
await getattr(logger, s1)(s2)
al("debug", "debug at stdout")
al("info", "info at stdout")
# ...etc
QUESTION
I am using aiologger for async logging, and have written two functions to override default exception handlers:
...ANSWER
Answered 2021-Mar-02 at 09:36AioLogger
is an async logging framework that depends on the event loop to run. When you raise from ensure_future
, your event loop is still running until you press Ctrl+C, which is why you see the log. On the other hand, when you use run_until_complete(main())
, nothing will run the event loop after run_until_complete
raises, so the log message scheduled by excepthook
will be dropped.
To fix the issue, you can run something like asyncio.sleep(0.001)
after the logger calls in excepthook
to ensure that the log messages go through:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install aiologger
You can use aiologger 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.
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