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

Project description

A simple tool to gather 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 project-dir/   # To scan all Python files recursively.
invectio app.py         # To perform usage gathering just on app.py file.
from invectio import gather_library_calls

# To scan all Python files recursively.
result: dict = gather_library_usage("project-dir")

# To perform usage gathering just on app.py file.
result: dict = gather_library_usage("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

Project details


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Files for invectio, version 0.0.7
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