Metadata-Version: 2.1
Name: KleenExtractor
Version: 0.1.1
Summary: Clean extract system to export folder content and sub content.
Home-page: UNKNOWN
Author: Edenskull
License: MIT
Description: <div align="center">
          <img src="https://raw.githubusercontent.com/Edenskull/KleenExtractor/master/.github/_static/kleenextractor.jpg">
        </div>
        
        <div align="center">
        
        [![GitHub license](https://img.shields.io/github/license/Edenskull/KleenExtractor?color=blue&style=for-the-badge)](https://github.com/Edenskull/KleenExtractor/blob/master/LICENSE)
        ![GitHub repo size](https://img.shields.io/github/repo-size/Edenskull/KleenExtractor?color=green&style=for-the-badge)
        ![GitHub repo size](https://img.shields.io/badge/Python-3.6%20%7C%203.7-yellow?style=for-the-badge)
        
        </div>
        
        # Kleen-Extractor
        Simple python library that handle the extraction of a source folder to sqlite database.
        
        ## Table of contents
        * [Installation](#installation)
        * [Documentation](#documentation)
        
        ## Installation
        
        You can install the module via pip :  
        ```pip install kleenextractor```
        
        or via wheel file [From PyPi](https://pypi.org/project/KleenExtractor/#modal-close) :  
        ```
        pip install wheel
        python -m wheel install wheel_file.whl
        ```
        
        ## Documentation
        
        The aim of kleenextractor is to make it simple for the user to export the list of files and folders.  
        First import it to your script :
        ```PYTHON3
        from kleenextractor import kleenextractor
        ```
        
        Then you can setup the source folder at first :
        
        ```PYTHON3
        kleenextractor.set_path_source("d:\\my_folder")
        ```
        
        Then you can run the extract by directly call extract_folder() function
        
        ```PYTHON3
        kleenextractor.extract_folder()
        ```
        
        And here you get a "extract.db" file in the folder of the current project.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
