c07c66a583
- Replace all localStorage-based state management with API calls - Load campaigns, proofs, and audit items from database - Persist proof analysis results to database via WebSocket - Add dropdown options CRUD API endpoints (channels, sub-channels, proof types) - Create DropdownRepository for managing dropdown options - Update Analytics component to fetch data from API - Remove demo data and localStorage persistence code Frontend changes: - App.tsx: Initialize apiService with MSAL, use API for all CRUD operations - apiService.ts: Add dropdown options API methods - Analytics.tsx: Fetch stats from /api/analytics Backend changes: - New dropdown_repository.py for dropdown CRUD - routes.py: Add 7 dropdown endpoints 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| components | ||
| services | ||
| App.tsx | ||
| constants.ts | ||
| index.html | ||
| index.tsx | ||
| metadata.json | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| tsconfig.json | ||
| types.ts | ||
| vite.config.ts | ||
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/1vH-R-vj0Xkk_g2ZFdHtLxNc12sFTOl2L
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