Trading System

A comprehensive trading system designed to facilitate various types of trades between users. It features a JavaFX-based GUI, user authentication, item management, trade creation, and administrative controls. The project was developed using Java and followed multiple design patterns and OOP principles.

Features

• User Roles: Personal users, administrative users, and guest users with specific permissions.
• Item Management: Users can add, edit, and manage items.
• Trade Creation: Supports multiple types of trades, including three-way trades and no-meeting trades.
• Administrative Controls: Admins can manage users, items, and system configurations.
• Support Tickets: Users can create support tickets for assistance.
• Localization: Supports multiple languages through properties files.

Design Patterns & Details

• Builder: Used in TradeBuilder to construct complex trade objects.
• Factory Method: Implemented in UserFactory to create different user types.
• Observer: Used for real-time updates in classes like ReReReRe, Reloadable, Refreshable, Redis, and Shutdownable.
• Strategy: Applied in configuration management with classes like ConfigStrategy, LocalStrategy, FormatStrategy, YamlStrategy, and JsonStrategy.
• Command: Implemented in various command classes like CreateTradeCommand.
• Facade: Used in classes like ControllerResources, ConfigBundle, EntityGatewayBundle, DatabaseResourceBundle, and WidgetBundle.
• Adapter: Implemented in CartItemWrapper.
• Iterator: Used in TradeUserOrderBundleIterator.
• Dependency Injection: Utilized in CommandFactory, ControllerFactory, and all controllers, commands, and data access objects.
• Reflection: Utilized in MappableBase to dynamically map object fields to CSV strings for data storage and retrieval.

Tech Stack:

• JavaFX: Provides the graphical user interface.
• Hibernate: Manages object-relational mapping for the database.
• Redis: Handles publish-subscribe messaging.
• Log4j2: Manages logging.
• Jackson: Handles JSON and YAML configurations.
• Maven: Manages build automation and dependencies.
• SQL: Supports data storage and queries.