PDGen is a Python library for generating UML diagrams from Python code using PlantUML. It simplifies UML generation by allowing you to annotate your classes and methods directly in your code, and then generates a UML diagram based on these annotations.
- Simple Annotations: Mark classes and methods to include in your UML diagram using the
@include_in_umldecorator. - PlantUML Integration: Generates UML diagrams in PlantUML format.
- Customizable Output: Save your diagram as an image and optionally output the UML text.
Install PDGen via pip:
pip install pdgenHere’s how you can use PDGen to generate a UML diagram:
import logging
from pathlib import Path
# Configure logging to see debug output
logging.basicConfig(level=logging.DEBUG)
from pdgen import include_in_uml, generate_diagram
from dataclasses import dataclass
@include_in_uml
class Bike:
def __init__(self, name: str):
self.name = name
@include_in_uml
@dataclass
class Car:
_name: str
_length: float
def set_name(self, name: str) -> None:
self._name = name
def get_name(self) -> str:
return self._name
@include_in_uml
def drive(self):
pass
@include_in_uml
def get_fuel_level(self) -> float:
pass
@include_in_uml
def _turn_off_lights(self) -> None:
pass
if __name__ == '__main__':
# Generate a UML diagram
generate_diagram(Path("diagram_new.png"), Path("diagram_new.txt"))The above script generates:
diagram_new.png: A UML diagram image.diagram_new.txt: The PlantUML source text for the diagram.
The generated UML diagram includes the annotated classes and methods:
@startuml
skinparam dpi 600
class Car {
- _name : str
- _length : float
- _turn_off_lights()
+ drive()
+ get_fuel_level()
}
class Bike {
+ name : str
}
@enduml
A decorator used to mark classes or methods for inclusion in the UML diagram.
Generates a UML diagram and optionally saves the PlantUML source.
output_path: Path to save the generated UML diagram (e.g., PNG format).uml_text_path: Path to save the PlantUML source text.
PDGen uses Python's logging module to output debug information. You can configure the logging level in your script for
better insights into the generation process.
import logging
logging.basicConfig(level=logging.DEBUG)Contributions are welcome!
This project is licensed under the MIT License. See the LICENSE file for details.
