在 python 中构建调用图，包括模块和函数? [英] Build a Call graph in python including modules and functions?

问题描述

我有一堆脚本来执行任务.而且我真的需要知道项目的调用图，因为它很混乱.我无法执行代码，因为它需要额外的硬件和软件才能执行.但是，我需要了解其背后的逻辑.所以，我需要知道是否有一个工具(不需要任何 python 文件执行)可以使用模块而不是跟踪或 python 解析器来构建调用图.我有这样的 C 工具，但没有 Python.
谢谢.

解决方案

我发现的最好的工具是 pyan，它是

Edmund Horner 的原始代码现在最好在他的 github 存储库中a>，并且有人还制作了一个两个版本的存储库，您可以从那里下载 Juha Jeronen 的版本.我制作了一个干净的版本，将他们的贡献结合到 我自己的 pyan 存储库，因为两个存储库都有很多其他软件.

I have a bunch of scripts to perform a task. And I really need to know the call graph of the project because it is very confusing. I am not able to execute the code because it needs extra HW and SW to do so. However, I need to understand the logic behind it. So, I need to know if there is a tool (which do not require any python file execution) that can build a call graph using the modules instead of the trace or python parser. I have such tools for C but not for python.
Thank you.

解决方案

The best tool I've found is called pyan, and was originally written by Edmund Horner, improved by him, and then given colorization and other features by Juha Jeronen. That version has useful commandline options:

Usage: pyan.py FILENAME... [--dot|--tgf]

Analyse one or more Python source files and generate an approximate call graph
of the modules, classes and functions within them.

Options:
  -h, --help           show this help message and exit
  --dot                output in GraphViz dot format
  --tgf                output in Trivial Graph Format
  -v, --verbose        verbose output
  -d, --defines        add edges for 'defines' relationships [default]
  -n, --no-defines     do not add edges for 'defines' relationships
  -u, --uses           add edges for 'uses' relationships [default]
  -N, --no-uses        do not add edges for 'uses' relationships
  -c, --colored        color nodes according to namespace [dot only]
  -g, --grouped        group nodes (create subgraphs) according to namespace
                       [dot only]
  -e, --nested-groups  create nested groups (subgraphs) for nested namespaces
                       (implies -g) [dot only]

Here's the result of running pyan.py --dot -c -e pyan.py | fdp -Tpng:

Edmund Horner's original code is now best found in his github repository, and somebody has also made a repository with both versions, from where you can download Juha Jeronen's version. I've made a clean version combining their contributions into my own repository just for pyan, since both repositories have lots of other software.

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