1. Project Overview

Mulanhai is a personal information management system for managing various aspects of daily life, including personal expenses, exercise, music, reading, health, diet, and life experiences. It uses reminder and planning modules together with a scheduling system to track, analyze, and evaluate execution. An integrated points and scoring system is also used to assess overall personal well-being.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

Project Roadmap

Project screenshots

Vue-based PC Client

Vue-based Mobile Client

WeChat Official Account Message Push Notifications

4. Feature Overview

Mulanhai is a personal information management system for managing various aspects of daily life, including personal expenses, exercise, music, reading, health, diet, and life experiences. It uses reminder and planning modules together with a scheduling system to track and analyze execution, and evaluates overall personal well-being through an integrated points and scoring system. The system uses a SpringBoot frontend-backend separated architecture. Technology stack: Spring, Hibernate, Quartz, Vue.

The system can be considered a personal assistant designed to solve three main questions:

• What are my plans and goals?
• What do I need to do?
• What have I done?

This project uses a frontend-backend separated architecture. The current mulanbay-server project is the backend API project and only provides system API interfaces. The frontend must also be running to access the complete system.

Function Introduction

• RBAC-based user permission management
• Distributed scheduling functionality
• Natural language learning services based on AHANLP
• Common modules for expenses, exercise, music, reading, health, diet, and life experiences
• Unified log management and log stream analysis
• Template-based configuration and analysis of reminders, plans, charts, and user behaviors
• Unified calendar management with automatic event creation and completion
• Disk, CPU, and memory monitoring and alerts, with automatic recovery capabilities
• Automatic cleanup of database data and backup files
• Unified and powerful chart-based statistical analysis
• Message notification services based on WeChat Official Account messages and email
• Configurable message delivery based on error codes
• Convenient configurable query wrapper based on Hibernate
• Configurable personal points and scoring system
• Multi-dimensional user behavior analysis
• Analysis features including word clouds, similarity analysis, and intelligent Q&A

5. Tech Stack

Technologies Used

• Frontend: Vue, Jquery, Element UI, Echarts
• Backend: Spring Boot, Hibernate, Quartz, NLP, Redis & Jwt

Core Dependencies

Version

Spring Boot

2.3.4.RELEASE

Hibernate

5.4.21.Final

Quartz

2.3.2

Project Structure

mulanbay-server
├── mulanbay-business    -- General business classes
├── mulanbay-common      -- Common modules
├── mulanbay-persistent  -- Hibernate-based persistence layer wrapper
├── mulanbay-pms         -- Mulanhai API interface layer
├── mulanbay-schedule    -- Scheduling module wrapper
├── mulanbay-web         -- SpringMVC-based wrappers

Project Execution and Deployment

Please refer to the README.md documentation.

Software Requirements

Software

Version

JDK

1.8+

Nginx

1.17+

Redis

6.0+

Mysql

8.0+

Hardware Requirements

Memory: 4 GB+

System architecture

System Modules

System Architecture

Business Workflow

Chart Categories

Referenced/Integrated Projects

Mulanhai references and integrates several projects. Some features are also simply adapted from other projects. First, thanks to everyone who contributes to open source.

• Jquery-based Frontend (Mobile) UI Component: weui
• Jquery-based Frontend (Mobile) Tag Solution: Jquey tagEditor
• Frontend (PC) Calendar Component: tui-calendar
• Natural Language Learning: AHANLP
• Vue-based Frontend (PC): RuoYi-Vue, vue-element-admin
• Vue-based Frontend (PC) Automatic Form Generation: form-create
• Intelligent Customer Service UI Component: LiteWebChat_Frame

Download PC Frontend Source Code

Download Mobile Frontend Source Code