Usage

aiologger implements two different interfaces that you can use to generate your logs. You can generate your logs using the async/await syntax or, if you for any reason can’t (or don’t want to) change all your codebase to use this syntax you can use aiologger as if it were synchronous, but behind the scenes your logs will be generated asynchronously.

Migrating from standard lib logging

Using aiologger with the standard syntax

If you prefer not to use the async/await all you need to do is to replace you logger instance with an instance of aiologger.Logger. For now on you can call logger.info() the same way you are (probably) already calling. Here is a simple example:

import asyncio
import logging

from logging import getLogger


async def main():
    logger = getLogger(__name__)
    logging.basicConfig(level=logging.DEBUG, format="%(message)s")

    logger.debug("debug")
    logger.info("info")

    logger.warning("warning")
    logger.error("error")
    logger.critical("critical")


loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.run_forever()

Which will output the following lines:

debug
info
warning
error
critical

If you want to generate all your logs asynchronously, you just have to change the instance of the logger object. To do that, all we need to change those lines from:

from logging import getLogger

logger = getLogger(__name__)

to:

from aiologger import Logger

logger = Logger.with_default_handlers()

and here is the complete example, generating all log lines asynchronously.

import asyncio
from aiologger import Logger


async def main():
    logger = Logger.with_default_handlers(name='my-logger')

    logger.debug("debug")
    logger.info("info")

    logger.warning("warning")
    logger.error("error")
    logger.critical("critical")

    await logger.shutdown()


loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.run_forever()

This code will output the following lines:

warning
debug
info
error
critical

As you might have noticed, the output order IS NOT GUARANTEED. If some kind of order is important to you, you’ll need to use the await syntax. But thinking about an asyncio application, where every I/O operation is asynchronous, this shouldn’t really matter.

Using aiologger with the async/await syntax

import asyncio
from aiologger import Logger


async def main():
    logger = Logger.with_default_handlers(name='my-logger')

    await logger.debug("debug at stdout")
    await logger.info("info at stdout")

    await logger.warning("warning at stderr")
    await logger.error("error at stderr")
    await logger.critical("critical at stderr")

    await logger.shutdown()

loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.close()

The most basic use case is to log the output into stdout and stderr. Using Logger.with_default_handlers you’re able to effortlessly create a new Logger instance with 2 distinct handlers:

  • One for handling debug and info methods and writing to stdout;

  • The other, for handling warning, critical, exception and error methods and writing to stderr.

Since everything is asynchronous, this means that for the same handler, the output order is guaranteed, but not between distinct handlers. The above code may output the following:

warning at stderr
debug at stdout
error at stderr
info at stdout
critical at stderr

You may notice that the order between the same handler is guaranteed. E.g.:

  • debug at stdout was outputted before info at stdout

  • warning at stderr was outputted before error at stderr

  • between lines of distinct handlers, the order isn’t guaranteed. warning at stderr was outputted before debug at stdout

Lazy initialization

Since the actual stream initialization only happens on the first log call, it’s possible to initialize aiologger.Logger instances outside a running event loop:

import asyncio
from aiologger import Logger


async def main():
    logger = Logger.with_default_handlers(name='my-logger')

    await logger.debug("debug at stdout")
    await logger.info("info at stdout")

    await logger.warning("warning at stderr")
    await logger.error("error at stderr")
    await logger.critical("critical at stderr")

    await logger.shutdown()

loop = asyncio.get_event_loop()
loop.run_until_complete(main())
loop.close()