QQZoneMood

## Overview
QQZoneMood is a powerful tool designed for multi-threaded scraping of QQ Space content. It allows users to collect and analyze various aspects of QQ Space, including user posts, reactions, and friend dynamics. With a web-based configuration interface built on Flask and Avalon.js, this project also shows great potential for data visualization, mimicking popular platforms like Netease Cloud's yearly report.

The application's architecture allows users to deploy it effortlessly using Docker, making it an attractive option for those looking to set it up online. The ability to analyze friend dynamics over time and evaluate posts in various formats adds depth to the understanding of social interactions within QQ Space.

## Features
- **Multi-threaded Scraping**: Efficiently gathers data from QQ Space, allowing for quick retrieval of user posts and interactions without compromising on speed.
- **Web Configuration Interface**: Built with Flask and Avalon.js, this user-friendly interface simplifies the setup process, enabling users to customize their scraping configurations easily.
- **Dynamic Visualization**: Utilizes React Slides for visually pleasing data presentations reminiscent of a yearly report, enhancing the user's analytical experience.
- **Friend Dynamics Analysis**: Enables users to track changes in friend counts over time, providing insights into social connections and interactions within QQ Space.
- **Data Storage Options**: Flexible storage techniques are available, including JSON files and Redis databases, allowing users to choose the best fit for their needs.
- **Sentiment Detection**: Integrates with Baidu's natural language processing API for deeper analysis of post sentiments, adding a layer of emotional context to the collected data.
- **Image Scraping Capabilities**: Offers the ability to download images from posts with options for resolution, catering to users who want to archive visual content.
- **Customizable Deployment**: Docker support simplifies the deployment process, making it feasible for both local and online setups while accommodating various user needs.