$ show re-zero-khis/re0-web
This repository hosts the static website re0-web, which provides a Chinese translation of the Japanese light novel series 'Re:Zero - Starting Life in Another World'. The system is a pipeline that crawls the original Japanese text from an online source, applies translations (likely manual or semi-automated), formats the content into Markdown, builds a static site using mdbook, and deploys it via GitHub Pages. The core application logic resides in Python scripts under `py/`, including a crawler, translator, formatter, and index generator. Build and deployment are automated through GitHub Actions workflows. The repository also includes pre-built EPUB files, images, and a Dockerfile for local development. While the project is a fan translation effort, its architecture demonstrates a well-structured ETL-to-static-site pipeline with CI/CD, making it a practical example of automated content publishing.
The LLM identified 4 files worth highlighting for reuse:
A standalone Python script that generates an RSS feed from the site's content structure. It is self-contained, requires only a list of articles with dates and URLs, and can be reused for any static site that needs an RSS feed. Demonstrates a clean pattern for RSS generation without external dependencies.
Generates an XML sitemap for the static site. Like gen-rss.py, it is a self-contained utility that can be extracted and reused for any static site. It follows a simple pattern of iterating over pages and outputting valid XML.
A module containing generic utility functions for file operations, path handling, and string processing. While project-specific in context, the functions are likely reusable across Python projects that need to manage file trees, read/write markdown, or handle encoding. Demonstrates clean separation of utility code.
The main crawler script that fetches Japanese novel chapters from an external source. It is parameterized via settings and downloads raw markdown files. The pattern of crawling, saving to disk, and tracking progress is reusable for any content aggregation project. The script uses a progress bar and handles incremental updates.