frakarr
1641b931e8
This commit shifts the application's data fetching mechanism from local storage mocks to a dedicated API endpoint. It also refactors the database connection logic to utilize a connection pool for improved performance and scalability. Key changes include: - Disabling `FORCE_LOCAL_DB` in `mockDb.ts` and implementing a generic `request` function for API calls. - Centralizing authentication headers in `mockDb.ts`. - Modifying `server/db.js` to use `pg` and `mysql2/promise` pools and a unified `executeQuery` function. - Updating `server/server.js` to use the database pool for queries. - Configuring Vite's development server to proxy API requests to the backend.
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1VePfnLSz9KaD97srgFOmzdPGCyklP_hP
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev