Open source software is licensed using open source licenses. There are many of open source licenses around and adding to that, open source software packages involve sometimes multiple licenses for different files.

Atarashi provides different methods for scanning for license statements in open source software. Unlike existing rule-based approaches - such as the Nomos license scanner from the FOSSology project - atarashi implements multiple text statistics and information retrieval algorithms.

Anticipated advantages is an improved precision while offering an as easy as possible approach to add new license texts or new license references.

Atarashi is designed to work stand-alone and with FOSSology. More info at https://fossology.github.io/atarashi

• Python >= v3.5
• pip >= 18.1

• pip install atarashi

• pip install .
• It will download all dependencies required and trigger build as well.
• Build will generate 3 new files in your current directory
  1. data/Ngram_keywords.json
  2. licenses/<SPDX-version>.csv
  3. licenses/processedList.csv
• These files will be placed to their appropriate places by the install script.

• pip install -r requirements.txt

• $ python3 setup.py build

Get the help by running atarashi -h or atarashi --help

• Running DLD agent

  atarashi -a DLD /path/to/file.c

• Running wordFrequencySimilarity agent

  atarashi -a wordFrequencySimilarity /path/to/file.c

• Running tfidf agent

  • With Cosine similarity

    atarashi -a tfidf /path/to/file.c

    atarashi -a tfidf -s CosineSim /path/to/file.c

  • With Score similarity

    atarashi -a tfidf -s ScoreSim /path/to/file.c

• Running Ngram agent

  • With Cosine similarity

    atarashi -a Ngram /path/to/file.c

    atarashi -a Ngram -s CosineSim /path/to/file.c

  • With Dice similarity

    atarashi -a Ngram -s DiceSim /path/to/file.c

  • With Bigram Cosine similarity

    atarashi -a Ngram -s BigramCosineSim /path/to/file.c

• Running in verbose mode

  atarashi -a DLD -v /path/to/file.c

• Running with custom CSVs and JSONs

  • Please reffer to the build instructions to get the CSV and JSON understandable by atarashi.
  • atarashi -a DLD -l /path/to/processedList.csv /path/to/file.c
  • atarashi -a Ngram -l /path/to/processedList.csv -j /path/to/ngram.json /path/to/file.c

1. Pull Docker image

   docker pull fossology/atarashi:latest

2. Run the image

   docker run --rm -v <path/to/scan>:/project fossology/atarashi:latest <options> /project/<path/to/file>

Since docker can not access host fs directly, we mount a volume from the directory containing the files to scan to /project in the container. Simply pass the options and path to the file relative to the mounted path.

• Run imtihaan (meaning Exam in Hindi) with the name of the Agent.
• eg. python atarashi/imtihaan.py /path/to/processedList.csv <DLD|tfidf|Ngram> <testfile>
• See python atarashi/imtihaan.py --help for more

• Install dependencies

# apt-get install python3-setuptools python3-all debhelper
# pip install stdeb

• Create Debian packages

$ python3 setup.py --command-packages=stdeb.command bdist_deb

• Locate the files under deb_dist

SPDX-License-Identifier: GPL-2.0

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 2 as published by the Free Software Foundation.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.

1. Go to project directory 'atarashi'.

2. Install Sphinx and m2r pip install sphinx m2r (Since this project is based on python so pip is already installed).

3. Initialise docs/ directory with sphinx-quickstart

   mkdir docs
   cd docs/
   sphinx-quickstart

   • Root path for the documentation [.]: .
   • Separate source and build directories (y/n) [n]: n
   • autodoc: automatically insert docstrings from modules (y/n) [n]: y
   • intersphinx: link between Sphinx documentation of different projects (y/n) [n]: y
   • Else use the default option

4. Setup the conf.py and include README.md

   • Enable the following lines and change the insert path:

     import os
     import sys
     sys.path.insert(0, os.path.abspath('../'))

   • Enable m2r to insert .md files in Sphinx documentation:

     [...]
     extensions = [
       ...
       'm2r',
     ]
     [...]
     source_suffix = ['.rst', '.md']

   • Include README.md by editing index.rst

     .. toctree::
         [...]
         readme
     
     .. mdinclude:: ../README.md

5. Auto-generate the .rst files in docs/source which will be used to generate documentation

   cd docs/
   sphinx-apidoc -o source/ ../atarashi

6. cd docs

7. make html

This will generate file in docs/_build/html. Go to: index.html

You can change the theme of the documentation by changing html_theme in config.py file in docs/ folder. You can choose from {'alabaster', 'classic', 'sphinxdoc', 'scrolls', 'agogo', 'traditional', 'nature', 'haiku', 'pyramid', 'bizstyle'} Reference