Statically analyze sources and extract information about called and exported library functions in Python applications


Keywords
ast, source, code, analysis, thoth, library, artificial-intelligence, hacktoberfest
License
GPL-3.0+
Install
pip install invectio==0.1.0

Documentation

Invectio

A simple tool to gather symbols provided or library calls and attribute usage based on static analysis of sources of Python applications.

Installation

Invectio can be installed from PyPI using:

$ pip3 install invectio
$ invectio --help

Usage

You can use this library as a CLI tool or as a Python module:

invectio whatprovides project-dir/   # To scan all Python files recursively for symbols provided.
invectio whatprovides app.py         # To perform symbols gathering on app.py file.

invectio whatuses project-dir/       # To scan all Python files recursively for symbols used from libraries.
invectio whatprovides app.py         # To perform gather symbols used from libraries on app.py file.
from invectio import gather_library_calls
from invectio import gather_symbols_provided

result: dict = gather_library_usage("project-dir")
result: dict = gather_library_usage("app.py")

result: dict = gather_symbols_provided("project-dir")
result: dict = gather_symbols_provided("app.py")

Limitations

As Python is a dynamic programming language, it's not possible to obtain all library functions/attributes usage simply by performing static analysis of sources. One can still perfom "crazy" things like:

import tensorflow

getattr(tensorflow, "const" + "ant")("Hello, Invectio")

This library does its best to detect all function/attributes being used inside Python sources, but usage like shown above cannot be detected simply by static analysis of source code.

Development

To create a dev environment, clone the invectio repo and install all the dependencies:

git clone https:://github.com/thoth-station/invectio && cd invectio
pipenv install --dev

To perform checks against unit tests present in the tests/ directory, issue the following command from the root of the git repo:

pipenv run python3 setup.py test