Create Flowcharts from Code Using Code2flow
Flowcharts are a powerful tool for visualizing and documenting complex systems, and they can be especially useful when working with the software. Whether you’re trying to understand someone else’s code or document your own, creating flowcharts from code can be a great way to gain insight and improve your understanding of the system.
In this article, we’ll introduce you to Code2flow, a python library, which generates call graphs for dynamic programming languages. Code2flow supports Python, JavaScript, Ruby, and PHP.
We’ll also show you how to use Code2flow to create flowcharts from your code, and we’ll discuss some of the benefits of using flowcharts to understand and document software systems. So if you’re ready to take your code comprehension to the next level, read on!
Code2flow is useful for:
- Untangling spaghetti code.
- Identifying orphaned functions.
- Getting new developers up to speed.
It can be installed using the following command.
!pip install code2flow
Once you have Code2flow installed, you can generate a flowchart by running a command like code2flow mypythonfile.py. This will create a DOT file, which you can then view using a tool like Graphviz.
Here is an output of a sample repository for which code2flow generated a chart.
How Code2flow
It does this by following a simple algorithm:
- Translate the source files into abstract syntax trees (ASTs). An AST is a tree-like representation of the structure of a piece of code, with each node in the tree representing a construct in the code (such as a function definition or a loop).
- Find all function definitions in the ASTs. A function definition is a construct that defines a block of code that can be executed by calling it by name.
3. Determine where those functions are called. When a function is called, the control flow of the program jumps to the beginning of the function and then follows the code inside the function until it reaches the end.
4. Connect the dots. Code2flow uses information about function definitions and function calls to create a flowchart that shows the control flow of the code. It does this by connecting the function definition nodes in the AST to the nodes where the functions are called, creating a visual representation of the way the code flows.
By following this algorithm, Code2flow is able to generate a flowchart that shows the structure and logic of the code, making it easier to understand and document complex software systems.
Here is a link to the Code2flow GitHub repository. https://github.com/scottrogowski/code2flow
It’s important to note that Code2flow is not a perfect solution for generating flowcharts from code. Due to the dynamic nature of some programming languages, it’s not possible for any algorithm to generate a perfect call graph. However, Code2flow provides a pretty good estimate of your project’s structure, and it can be a valuable tool for understanding and documenting complex software systems. So, give Code2flow a try and see how it can help you visualize and understand your code!
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