Skip to main content

Easy Logger

Project description

easy-logger

Simple Easy baseline Logger. Creates a color stream logger or a basic rotating logger that can be used and called on throughout a project.

Usage

Configuration Values:

  • name: Name of file can use built in __name__ or specifiy a name to call the logger instance.
  • logName: filename for log.
  • logDir: Directory location to store log.
    • Can use built in utilitiy to find the default log location for the system you are on.
  • level: Log Level. Can be one of the following Strings.
    • NOTSET = 0
    • DEBUG = 10
    • INFO = 20
    • WARN = 30
    • WARNING = 30
    • ERROR = 40
    • CRITICAL = 50
    • FATAL = 50
  • setFile: Bool Value to set the logger to write out to file.
  • stream: Bool Value to allow conosole output of log.
  • maxBytes: Maximum Byte size before rotating log file.
  • backupCount: Amount of backups to keep.
  • setLog: Enables or creates the logging instance otherwise will not log anything.
import easy_logger
from easy_logger.utils import set_logdir

logger = easy_logger.RotatingLog(__name__,
                                 logName="sample.log",
                                 logDir=set_logdir("default"),
                                 level="DEBUG",
                                 stream=True,
                                 setLog=True,
                                 setFile=True,
                                 maxBytes=10000,
                                 backupCount=10)
log = logger.getLogger(__name__)
log.info(f"Writting out file to: {set_logdir('default')}")
log.info("This is an informational log message.")
log.debug("This is a debug log message.")
log.warning("This is a warning log message.")
log.critical("This is a critical log message.")

What this will look like in the console:

console output

If written to file:

>>> cat ~/Library/Logs/sample.log 
[2023-07-19 12:25:01,648] level=INFO     name=__main__     fn=<ipython-input-1-e1c5bba1549c> ln=14 func=<module>: Writting out file to: ~/Library/Logs
[2023-07-19 12:25:01,650] level=INFO     name=__main__     fn=<ipython-input-1-e1c5bba1549c> ln=15 func=<module>: This is an informational log message.
[2023-07-19 12:25:01,652] level=DEBUG    name=__main__     fn=<ipython-input-1-e1c5bba1549c> ln=16 func=<module>: This is a debug log message.
[2023-07-19 12:25:01,658] level=WARNING  name=__main__     fn=<ipython-input-1-e1c5bba1549c> ln=17 func=<module>: This is a warning log message.
[2023-07-19 12:25:01,667] level=CRITICAL name=__main__     fn=<ipython-input-1-e1c5bba1549c> ln=18 func=<module>: This is a critical log message.

If the name value is passed as a string instead of using the python file name the name will show up in the logs such as:

log = logger.getLogger("easy_logger")
Sample Log File Output Format

[2023-07-19 12:34:53,266] level=INFO     name=easy_logger  fn=<ipython-input-2-297430e75a74> ln=14 func=<module>: Writting out file to: ~/Library/Logs
[2023-07-19 12:34:53,268] level=INFO     name=easy_logger  fn=<ipython-input-2-297430e75a74> ln=15 func=<module>: This is an informational log message.
[2023-07-19 12:34:53,268] level=DEBUG    name=easy_logger  fn=<ipython-input-2-297430e75a74> ln=16 func=<module>: This is a debug log message.
[2023-07-19 12:34:53,269] level=WARNING  name=easy_logger  fn=<ipython-input-2-297430e75a74> ln=17 func=<module>: This is a warning log message.
[2023-07-19 12:34:53,269] level=CRITICAL name=easy_logger  fn=<ipython-input-2-297430e75a74> ln=18 func=<module>: This is a critical log message.

NOTE: It is usually best practice when passing a logger around a large project to pick up the name of the file and the function for easier troubleshooting depending on what method you use.

Extended Functions

Application Log Directory:

You can set up a subdirectory for your application on a system using the system's default location by leveraging and extension function in the logDir value.

import easy_logger
from easy_logger.utils import set_logdir

logger = easy_logger.RotatingLog(__name__,
                                 logName="sample.log",
                                 logDir=set_logdir("extend", extend="ApplicationName"),
                                 level="DEBUG",
                                 stream=True,
                                 setLog=True,
                                 setFile=True,
                                 maxBytes=10000,
                                 backupCount=10)
log = logger.getLogger(__name__)
log.info(f"log directory set to {logger.settings.logDir}")
log.info("This is an informational log message.")
log.debug("This is a debug log message.")
log.warning("This is a warning log message.")
log.critical("This is a critical log message.")
Sample Application Log Directory Output

>>> cat ~/Library/Logs/ApplicationName/sample.log

[2023-07-28 13:03:48,438] level=INFO     name=__main__     fn=<ipython-input-3-edd6755574f8> ln=1 func=<module>: log directory set to ~/Library/Logs/ApplicationName
[2023-07-28 13:03:48,443] level=INFO     name=__main__     fn=<ipython-input-3-edd6755574f8> ln=2 func=<module>: This is an informational log message.
[2023-07-28 13:03:48,446] level=DEBUG    name=__main__     fn=<ipython-input-3-edd6755574f8> ln=3 func=<module>: This is a debug log message.
[2023-07-28 13:03:48,450] level=WARNING  name=__main__     fn=<ipython-input-3-edd6755574f8> ln=4 func=<module>: This is a warning log message.
[2023-07-28 13:03:48,452] level=CRITICAL name=__main__     fn=<ipython-input-3-edd6755574f8> ln=5 func=<module>: This is a critical log message.

Versions

v0.0.6

  • Added color samples as defaults.
  • Created a Color Console only.
  • Updated reformat error to remove [,] characters as it causes issues reading on some systems; replaced with list().
  • Added ability to change Log Format for streaming.

v0.0.5

  • Added a retry decorator.
  • Added Error handler with ability to customize the error return value or ability to log out the error.
  • BUGFIX issue with reformat Exception when added to a JSON object can become problematic so filtering out ugly formating from raised Exception.

v0.0.4

  • Added utility to find OS Log directory.
  • Added Splunk JSON data formatter.

v0.0.3

  • Added Splunk basic string log out format.
  • Added Splunk HEC JSON format for messaging.

Future Enhancements

  • Use a standard or basic logger.
  • Allow conversion of int/str types for log level.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py-easy-logger-0.0.6.tar.gz (48.4 kB view hashes)

Uploaded Source

Built Distribution

py_easy_logger-0.0.6-py3-none-any.whl (36.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page