Docugenius
Docugenius is a tool that generates documentation for your python code using LLMs. The library provides a simple CLI interface to generate documentation for your python code.
Installation
Quickstart
Before running docugenius, make sure you exported your OpenAI API key as an environment variable.
To generate documentation for your python code, run the following command:
The default model used is OpenAI openai:gpt-4o, but you can specify a different model using the --model flag.
See the Supported Models section for a list of supported models. Supported Models
If you want to run docugenius on an entire directory, you can pass the directory path as input.
CLI Usage
usage: docugenius [-h] [--model {openai:gpt-4o,openai:gpt-4o-mini}] [--docstring-format {google,numpy,sprinx}] [--skip-raises] [--skip-returns]
[--skip-examples] [--output-path OUTPUT_PATH]
input_path
positional arguments:
input_path The path to the input. You can also pass a directory to process all files in it.
options:
-h, --help show this help message and exit
--model {openai:gpt-4o,openai:gpt-4o-mini}, -m {openai:gpt-4o,openai:gpt-4o-mini}
The model to use for generating docstrings.
--docstring-format {google,numpy,sprinx}, -d {google,numpy,sprinx}
The format of the generated docstrings.
--skip-raises, -r Whether to include information about exceptions raised by the code.
--skip-returns, -R Whether to include information about the return value of the code.
--skip-examples, -e Whether to include examples of how to use the code.
--output-path OUTPUT_PATH, -o OUTPUT_PATH
The path to the output file/destination. If not provided, the output will overwrite the input file. If a directory is passed as
input, this should be a directory.
The output overwrites the input file. If you want to save the output to a different file, you can use the --output-path flag.