Skip to main content

No project description provided

Project description

PyPI - Downloads PyPI PyPI - Wheel PyPI - License

PDTJ - (Python Docstring To Json)

Introduction

This project was created to solve a personal need for a flexible and simple tool to retrieve all Python docstrings and convert them into a JSON format. The tool's design provides flexibility to customize the parsing and documentation process, making it easy to navigate through the codebase's structure and documentation.

This project aims to provide a powerful tool for parsing and documenting Python code within a directory. The tool works by recursively traversing a directory and identifying all Python files contained within it. It then extracts the docstrings of these files, organizing them into a dictionary format that captures the structure and documentation of the entire codebase. This dictionary is then written to a JSON file, making it easy to view and access the information it contains. Whether you're a software developer or a codebase maintainer, this tool can help you gain a deeper understanding of your Python code and streamline the documentation process.

Moreover, this tool aims to simplify the process of generating a documentation webpage by using the JSON file. It provides a clear overview of the codebase's structure and documentation, allowing users to quickly navigate through the code and understand its functionality. The project is designed to be flexible and customizable, enabling users to tailor the parsing and documentation process to their specific needs. With this tool, you can easily generate comprehensive documentation for your Python codebase and share it with others.

How to Use

Installation

To install the tool, run the following command:

pip install pdtj

Next, create a .pdtj.yaml file in the root directory of your project and specify the following information:

name: <project name> # replace <project name> with your project's name
shelve: <shelve name> # choose any name you like for <shelve name>
sub-project: <sub-project name> # choose any name you like for <sub-project name>

Generating the Documentation

Once you have installed the tool and configured the .pdtj.yaml file, you can generate the documentation by running the following command:

pdtj

If everything is set up correctly, the tool will traverse your project directory, extract the docstrings from all Python files, and create a JSON file containing the documentation. The resulting file can be used to generate a documentation webpage or for any other purpose.

Features missing

  • Log
  • Unit tests

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pdtj-0.3.5.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

pdtj-0.3.5-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file pdtj-0.3.5.tar.gz.

File metadata

  • Download URL: pdtj-0.3.5.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pdtj-0.3.5.tar.gz
Algorithm Hash digest
SHA256 6994c36f22754b866f8aab045ac4bdc6ee4f7a8c8ce83e19aca4a4d322ef1234
MD5 bcd07897338951b81bb793e4dfae8294
BLAKE2b-256 fbe1818b0d3e2b854531936a572d16dec62339daf95ffbe3cce2e3b3a024c8c7

See more details on using hashes here.

File details

Details for the file pdtj-0.3.5-py3-none-any.whl.

File metadata

  • Download URL: pdtj-0.3.5-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pdtj-0.3.5-py3-none-any.whl
Algorithm Hash digest
SHA256 57a347e3b4dfb5784c6f56b4a0aa5c5c19fcd063f0585325ff466e031a52be9f
MD5 e21aef129d35ab4763061a37ada0c184
BLAKE2b-256 92e089221f2da1e09edc2cb1b562e9a94a59b16670b912b793c25b89c58ff436

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page