touml
=====
> pronounced /ˈtoo͞m.əl/
A CLI, written in Rust, that converts Python classes to a unified Mermaid diagram.
## Installation
```shell
pip install touml
# OR (better yet)
uv pip install touml
```
## Usage
```shell
# Print help
touml --help
# Print output to stdout
touml path/to/python/files
# Generate an `out.mmd` file in the current directory
touml path/to/python/files -o .
# Print output, but exclude classes, files, and subdirectories matching globs.
touml path/to/python/files --exclude-files "**/__init__.py" "**/config.py" --exclude-dirs "tests" --exclude-classes "Base*"
```
## Tips
```shell
# Pipe outputs to `less` to scroll outputs
$ touml path/to/python/files | less
# Pipe outputs to `mmdc` to generate images
$ touml path/to/python/files | mmdc -i -o out.png
# Copy outputs to clipboard
$ touml path/to/python/files | pbcopy
```
## Examples
```shell
# Convert all Python files in the test directory to Mermaid diagrams
$ touml tests
classDiagram
class StrClass {
+ some_other_values tuple[int, ...]
+ value str
+ yet_another_value set[int]
+ get_concatenated(self) str
}
Base <|-- StrClass
StrMixin <|-- StrClass
class IntClass {
+ value_1 int
+ value_2 list[int]
+ value_3 dict[str, int]
+ check_even(cls, v) int
}
Base <|-- IntClass
IntMixin <|-- IntClass
class Value {
+ VAL_1
+ VAL_2
+ VAL_3
}
`enum.StrEnum` <|-- Value
class ClassicClass {
+ ANOTHER_CLS_VAR
+ A_CLS_VAR int
+ value
}
class Base {
+ id int
+ model_config
}
BaseModel <|-- Base
class BaseMixin {
+ do_something(self)
}
`abc.ABC` <|-- BaseMixin
class IntMixin {
+ do_something(self) int
}
BaseMixin <|-- IntMixin
BaseModel <|-- IntMixin
class StrMixin {
+ do_something(self) str
}
BaseMixin <|-- StrMixin
BaseModel <|-- StrMixin
```
Pipe the above to `mmdc -i - -t dark -b transparent`, and you get:
## FAQs
### What's Mermaid?
Mermaid is a diagramming and charting tool that produces neat diagrams from text. You can learn more about it [here](https://mermaid-js.github.io/mermaid/).
### This tool doesn't generate images!
You're right, young padawan. This tool, intentionally, only generates Mermaid diagram code.
To generate images, you can pipe the output to `mmdc` (the official Mermaid CLI).
To download `mmdc`, take a look at their [docs](https://github.com/mermaid-js/mermaid-cli?tab=readme-ov-file#installation).
Once installed, you can try something like this:
```shell
$ touml path/to/python/files | mmdc -i -o out.png
```
### I don't need images, I just want to see the diagrams!
You can copy the output to your clipboard and paste it in a Markdown file,
Draw.io, or any other tool that supports Mermaid diagrams.
```shell
$ touml path/to/python/files | pbcopy
```
### Why Rust?
The idea was to make `touml` invocable from a CI pipeline, and we all know how much we want those to be fast.
### Sure, but how fast is it?
Blazingly fast, of course. For anecdotal evidence, where I accidentally executed `touml` against my current directory (including my virtual environment), I was able to generate Mermaid output for 427 Python files in 0.72 seconds. Not convinced? Try it out yourself!
### How does it work?
Easy.
1. Parse all Python files in a given directory, minus those that a user wants to exclude.
2. Extract all classes and their attributes, using the Python AST.
3. Generate a Mermaid diagram from the extracted classes and attributes.
### Does `touml` support other languages?
At present, no: `touml` only generates Mermaid from Python. However, so long as there's a data model that `impl`s the `MermaidAdapter` trait, sky's the limit.
Raw data
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