This is a multi-module Spring Boot application for a Chinese-language novel reading and publishing platform (原创文å¦CMS). It comprises four interconnected modules: novel-admin (back-office management with Layui/Shiro RBAC), novel-front (user-facing reader/author portal with JWT auth), novel-crawl (automated content ingestion from external novel sites), and novel-common (shared entities, mappers, utilities). The system provides full CRUD for books, chapters, comments, users, and payments; templated front-end themes (blue, green, orange, dark); Alipay/WeChat integration; AI-assisted writing via Spring AI (SiliconFlow); and a MyBatis-based data layer with Sharding-JDBC for sharding. While functionally rich and actively maintained, the codebase suffers from significant static asset duplication, mixed javax/jakarta imports, and multiple legacy third-party front-end libraries bundled directly.
InfoSpider is a Windows-only desktop application that aggregates personal data from over 20 online services (e.g., GitHub, JD, Taobao, Alipay, Zhihu, Bilibili) using Selenium-based browser automation and a companion Chrome extension. The user launches a wxPython GUI, selects a data source, logs in via an automated Chrome window, and the tool scrapes orders, bills, contacts, posts, and other personal information, saving it as JSON files. Some spiders also generate HTML charts (word clouds, time-series plots) from the scraped data. The repository includes a separate, experimental PyTorch LSTM model for stock price prediction in `tests/DeepAnalysis/`, which is not integrated into the main tool. The codebase is a monolithic collection of spider scripts with a simple GUI wrapper, relying on outdated library versions (Selenium 3.141.0, pandas 1.0.1) and brittle automation patterns (hardcoded selectors, sleep-based waits). It has not seen active development since 2020 and carries significant technical drift and maintenance risks.