dummylog 0.0.3

dummylog is the open source python package to help the python module/plugin developers to create/update the log files in simple syntax and easy format

dummylog is the open source python package to help the python module/plugin developers to create/update the log files in simple syntax and easy format. If you are looking for a single file based log, then dummylog is for you to keep your simple logs

If you are using Flask API or any API decorators with dummylog, it will create a new log every time since decorators will trigger the function as every new instance.

Installation

Install using pip . Offical Python Package Here!!

pip install dummylog

(OR)

Clone this Repository. Run this from the root directory to install

python setup.py install

License

The license for dummylog is MIT license

Need help?

Stuck on your dummylog code or problem? Any other questions? Don't hestitate to send me an email ([e-mail]).

Usage

1. Import Package

import dummylog

2. Initialize the dummylog Object

dl = dummylog.DummyLog()

dummylog.DummyLog() parameters

S.No	Parameters	Description	Type	Default Value
1	log_name	Name of the log instance/file	string	datetime.now().strftime('%d_%m_%Y__%H_%M_%S')
2	logging_level	level of logging that user needed	string	"debug"
3	string_format	Formatter for logging	string	"%(asctime)s: %(levelname)s: %(message)s"
3	datetime_format	Date-time format for logging	string	"%m/%d/%Y %I:%M:%S %p"
4	log_on_folder	True if you want to save them in a folder	bool	True
5	log_folder_name	Name of the folder to save the logs	string	"logs"

3. Enjoy Logging

dl.logger.info('Log File is Created Successfully')

dl.logger.info('Unmayanaa Google Competitors')

dl.logger.error('Vada poche')

This will create a log file in the root directory of the python script.

4. To Kill the dummylog instance

dl.kill()

Note: Do not use dummylog in case if you are using the logging module in the same script for other purposes. it will conflict with the logging thread and append things to gather.

Sample Log File View

Future Work

• dummylog will be enabled for multithreading
• enhance logging capability