cmd-call-graph 1.0.0

A simple tool to generate a call graph for calls within Windows CMD (batch) files.

cmd-call-graph

A simple tool to generate a call graph for calls within Windows CMD (batch) files.

The tool is available on PyPI: https://pypi.org/project/cmd-call-graph/

It takes the input file as stdin and outputs the resulting file to stdout, outputting logs and errors to stderr.

Usage example from WSL (Windows Subsystem for Linux):

$ pip install cmd-call-graph
$ cmd-call-graph < your-file.cmd > your-file-call-graph.dot 2>log

The resulting dot file can be rendered with any dot renderer. Example with graphviz:

$ sudo apt install graphviz
$ dot -Tpng your-file-call-graph.dot > your-file-call-graph.png
$ explorer.exe your-file-call-graph.png

Example

Here is an example CMD script:

@echo off
call :foo
goto :eof
:bar
    echo "in bar"
    call :baz
    call :baz
:baz
    echo "in baz"
:foo
    echo "In foo"
    goto :bar

This script would generate the following graph:

If the --show-all-calls option is enabled, then the following graph would be generated:

Why?

Sometimes legacy code bases may contain old CMD files. This tool allows to generate a visual representation of the internal calls within the script.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [e-mail] with any additional questions or comments.

Unit tests

Run unit tests from the project root by running:

python -m unittest discover