Your plan sounds solid, and you're correct about needing chess logic implementation on both the frontend and backend for these features. Here's why: Chess Logic Implementation:
Frontend:
Interactive Gameplay: The UI needs to validate moves locally for smooth user interaction, like highlighting legal moves and preventing illegal moves before sending them to the server. Analyzing Mode: Players might want to explore potential moves and see real-time feedback. Single-Browser Gameplay: For two players sharing a device, the frontend handles switching between perspectives without backend interaction. Backend: Validation: The backend should revalidate moves to ensure fairness and prevent cheating. Game State Management: It stores the current state of the game for persistence and updates all players in real-time. Watching Older Games: Backend logic will fetch game history for replay functionality. Multiplayer Sync: SignalR ensures that all players and spectators are updated about the game state in real time.
Recommendations:
To avoid redundancy, consider sharing chess logic between frontend and backend. For example, use a shared library or module for the core chess logic.
Use SignalR to synchronize game states efficiently across multiple clients.
Implement a database to store game histories, player stats, and saved games for analysis.
If you plan to add AI or deeper analysis, you might integrate chess engines like Stockfish on the backend.