this readme was auto-created using Bing Copilot and enhanced by GitHub Copilot most of this code was written by Claude.ai

WP2PDF

WP2PDF is a Python-based script to fetch posts from a WordPress site and generate PDFs for each post. This project supports batch processing and parallel PDF creation, using asyncio and other modern libraries.

Table of Contents

• Features
• Requirements
• Installation
• Configuration
• Usage
• Logging
• Contributing
• License
• Acknowledgements

Features

• Fetch WordPress Posts: Fetches posts from a WordPress site using the REST API.
• Batch Processing: Processes posts in customizable batch sizes.
• Parallel PDF Creation: Utilizes parallel workers to speed up PDF generation.
• Image Handling: Downloads and includes images from posts in the generated PDFs.
• Customizable Configuration: Easily adjustable batch size, starting batch, and number of workers.

Requirements

• Python 3.9+
• aiohttp
• BeautifulSoup4
• FPDF
• PIL (Pillow)
• tenacity
• tqdm

Installation

Clone the repository and navigate into the project directory:

git clone https://github.com/aaronlower/wp2pdf.git
cd wp2pdf

Install the required dependencies:

pip install -r requirements.txt

Configuration

Update the config.py file with your WordPress site URL and credentials. You may also need to adjust the batch size, start batch, and max workers according to your needs.

Usage

Run the main script to start processing posts:

python claude.py

The script will fetch posts, download images, and generate PDFs in batches. Each batch will be saved in the wordpress_downloads/batch_{BATCH_NUMBER} directory.

Logging

Logs for each batch will be saved in wordpress_downloads/batch_{BATCH_NUMBER}/logs/app.log. The log files include detailed information about the processing steps and any errors encountered.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch.
3. Make your changes.
4. Submit a pull request.

If you have any ideas, suggestions, or issues, feel free to open an issue or a pull request.

License

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

Acknowledgements

Special thanks to the developers of the libraries used in this project.