Just a quick note, this is still a work in progress.
# pip
$ pip install aiologbuch
# poetry
$ poetry add aiologbuch
# If you want to use a faster json parsing
$ pip install aiologbuch[orjson]
# If you want to use a native asyncio file handling
$ pip install aiologbuch[aiofile]
# If you want to use both
$ pip install aiologbuch[all]It's as simple as this:
from aiologbuch import get_logger
logger = get_logger(name="my-cool-logger")
await logger.info("Hello, world!")This should be enough to get you started with logging to the stderr, but if you wanna
know more, keep reading.
When you call get_logger, it returns an Nlogger instance. The library was designed
in such a way that you can't mutate the logger instance. This is to prevent any
unexpected behavior.
Once you call the get_logger function and setup it's properties, you can't change
them. If you want a logger with different properties, you have to call get_logger
again, but specifying a different name, to get a new logger instance.
It's also worth mentioning that, if you call get_logger with the same name, it will
return the same logger instance. This is to prevent having multiple loggers with the
same name, ensuring integrity. Only the first logger instance will have the attributes
you specified in the first call. The other calls won't have any effect, besides returning
the same logger instance.
Now, let's talk about the properties you can set.
The level property is used to specify the minimum level of logs that will be logged.
from aiologbuch import get_logger
logger = get_logger(name="my-cool-logger", level="INFO")
await logger.info("Hello, world!")
await logger.debug("This won't be logged")As you can see, theres a parameter called level that indicates the logger's level.
The default value is INFO, but you can set it to any of the following values:
-
DEBUG -
INFO -
WARNING -
ERROR -
CRITICAL
You can either use the literal string, or the corresponding constant from the logging
module.
If you prefer, you can also import an enum called LogLevel from the aiologbuch
module, and use it instead.
from aiologbuch import get_logger, LogLevel
logger = get_logger(name="my-cool-logger", level=LogLevel.INFO)
await logger.info("Hello, world!")
await logger.debug("This won't be logged")Once again, calling get_logger with the same name will return the same logger
instance, so if you want to log to a different level, you have to call get_logger
again, but specifying a different name.
The filename property is used to specify the file where the logs will be written to.
from aiologbuch import get_logger
logger = get_logger(name="my-cool-logger", filename="my-cool-logger.log")
await logger.info("Hello, world!")As you can see, theres a parameter called filename that indicates the logger's
filename. The default value is an empty string, but you can set it to any string, as
long the value is a valid path filename. If it doesn't exists, it will be created.
Once again, calling get_logger with the same name will return the same logger
instance, so if you want to log to a different file, you have to call get_logger
again, but specifying a different name.
It's worth mentioning that the file logging is async native if you have the aiofile
package installed. If you don't have it installed, it will fallback to the threading
approach, provided by anyio.
The exclusive property is used to determine if the logger should log exclusively to the
level that it was specified. For example, if you set the level to ERROR, and the
exclusive property to True, the logger will only log ERROR messages.
But, this will only be applied if you set a filename. Meaning that, if you don't set a
filename, the logger will log to the stderr as if the exclusive property was set to
False.
So, if you want to log a level exclusively to a file, you can do something like this:
from aiologbuch import get_logger
error_logger = get_logger(
name="my-cool-logger",
level='ERROR',
filename="my-cool-error-logger.log",
exclusive=True,
)
await error_logger.info("This won't be logged")
await error_logger.error("This will be logged only to the file")It's quite useful when you want to log only errors to a file.
But keep in mind that if you wanna log the other levels, you have to create another logger instance, with a different name.
This project is licensed under the terms of the MIT license.