Introduces a new authentication flow for the host, requiring a password to access host-specific features. This commit also adds a dedicated settings section within the host view, allowing administrators to configure essential application parameters such as the API key for AI question generation and the join URL for players.
The backend has been updated to include a new `settings` table in the database to persist these configurations. The Gemini service is refactored to accept the API key as a parameter, enhancing flexibility and security. UI components like `HostView` and `App.tsx` are modified to integrate the new authentication and settings management functionalities.
Key changes include:
- Password-based authentication for host access.
- A new settings interface for API key and join URL management.
- Database schema update with a `settings` table.
- Refactoring `geminiService` to accept API key.
- UI adjustments for login and settings screens.
Refactor `types.ts` to use `as const` for `GamePhase` and explicitly define the `GamePhase` type. This improves type safety and clarity. Additionally, update imports in other files to use `type` for type-only imports, further enhancing type safety and preventing potential runtime issues.
Includes a check for the presence of the API key before initializing the Gemini AI client. Logs an error and returns an empty array if the API key is not found, preventing runtime errors and providing clearer feedback.
Upgrades React to v19.2.4 and adjusts ESM import maps to ensure correct versioning and loading. Also, removes redundant API key check in geminiService.ts as it's handled at build time.
This commit sets up the foundational structure for the QuizMaster Live application. It includes:
- Initializing a new Vite project with React and TypeScript.
- Configuring project dependencies and build tools (Vite, TypeScript).
- Defining core application types for game state, players, questions, etc.
- Setting up basic Tailwind CSS for styling and defining custom animations.
- Integrating with the Google Gemini API for AI-powered question generation.
- Configuring environment variables for API keys and defining the application's metadata.
- Adding a README with setup instructions and local development guide.
Philip