golicense-classifier 0.0.15

A Python based License Classification and Copyright Statement Detection tool based on Google License Classifier

Golicense-Classifier

A Python based module to find valid copyright and license expressions in a file.

Note: This module is based on Google LicenseClassifier.

Installation

Currently, this package only supports Linux Platform. Work is in progress for Windows and Mac.

To install from Pypi, use

pip install golicense-classifier

Usage

To get started, import LicenseClassifier class from the module as

from LicenseClassifier.classifier import LicenseClassifier

Note: Work on Copyright Statement is still in progress. Expect some issues, mostly with binary files

The class comes bundled with several functions for scanning purpose.

1. scan_directory

   This method is used to recursively walk through a directory and find license expressions and copyright statements. It returns a dictionary object with keys header and files.

   Usage

   ---

   classifier = LicenseClassifier()
   res = classifier.scan_directory('PATH_TO_DIR')
   

   Optional Parameters

   ---

   • max_size

     Maximum size of file in MB. Default is set to 10MB. Set max_size < 0 to ignore size constraints

   • use_buffer

     (Experimental) Set True to use buffered file scanning. max_size will be used as buffer size.

2. scan_file

   This method is used to find license expressions and copyright statements on a single file.

   Usage

   ---

   classifier = LicenseClassifier()
   res = classifier.scan_file('PATH_TO_FILE')
   

   Optional Parameters

   ---

   • max_size

     Maximum size of file in MB. Default is set to 10MB. Set max_size < 0 to ignore size constraints

   • use_buffer

     (Experimental) Set True to use buffered file scanning. max_size will be used as buffer size.

Setting Custom Scanning Threshold

You can set custom threshold for scanning purpose that best suits your need. For this, you can use parameter threshold while making object as

classifier = LicenseClassifier(threshold = 0.9)