Supplements a default formatter configuration for machine-readable JSON logging and applies it
Project description
python-logger
Supplements a default formatter configuration for machine-readable JSON logging and applies it.
This module should be included as a sub-module in python projects with logging. Please avoid copy-pasting as no updates can be supplied that way.
Usage
- Please first include the
PythonLogger
module, using afrom module import class
statement. - After the imports, please declare a version constant.
This constant should use semantic versioning, with a prepended date(YYYY/MM/DD)
.
Other examples, without the date, can be found here - Before any argument parsing or any other logging, the logger should be initialized
- In EVERY file, the logger needs to be imported using
LOGGER = logging.getLogger(__name__)
from python_logger import PythonLogger
import logging
VERSION = "1.0.0 (2022/11/24)"
PythonLogger.setup_logger(VERSION)
LOGGER = logging.getLogger(__name__)
Optionally, it is also possible to change the log level:
from python_logger import PythonLogger
import logging
VERSION = "1.0.0 (2022/11/24)"
PythonLogger.setup_logger(VERSION, logging.DEBUG)
LOGGER = logging.getLogger(__name__)
Features
Sets the logging format for the root logger and thus for every child logger.
In EVERY file where logging happens, please use LOGGER = logging.getLogger(__name__)
to get an individual logger.
Allows printing exception information on any logging level, not only on the EXCEPTION
level but also for INFO
or DEBUG
.
Supply exec_info
to print these.
Sets pipeline_status
and job_status
to failed
on ERROR
or CRITICAL
, supports minor logging levels (41, etc).
Project details
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