feat: Complete Smart Resume Formatter with R2 and Gemini AI integration
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- Integrated Cloudflare R2 for template storage and converted file management - Added Google Gemini AI for resume parsing and HTML generation - Created backend API endpoints for templates, conversion, and history - Refactored frontend to use real API instead of mock data - Fixed Docker networking issues (IPv6/IPv4) for R2 connectivity - Added resumeService.ts for frontend API integration - Updated Vite configuration for proper asset serving in Docker - Successfully tested with 13 templates from R2 bucket
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DOCKER_FIX_COMPLETE.md
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DOCKER_FIX_COMPLETE.md
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# ✅ DOCKER BUILD ISSUE RESOLVED!
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## The Problem:
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When you accessed `http://localhost:8080`, you couldn't see the application because of **incorrect asset paths** in the built HTML.
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## The Root Cause:
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The `vite.config.ts` was missing the `base` configuration, which tells Vite what URL prefix to use for all assets.
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**Before:**
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```html
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<script src="/assets/index-CwyBqJXR.js"></script>
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```
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❌ This looked for assets at `http://localhost:8080/assets/` (wrong!)
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**After:**
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```html
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<script src="/resumeformatter/assets/index-CwyBqJXR.js"></script>
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```
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✅ This looks for assets at `http://localhost:8080/resumeformatter/assets/` (correct!)
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## The Fix:
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Updated `frontend/vite.config.ts` to include:
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```typescript
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base: `/${appName}/`, // This adds the /resumeformatter/ prefix to all assets
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```
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## How to Access Your App:
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### ✅ Correct URL:
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```
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http://localhost:8080/resumeformatter
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```
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### ❌ Wrong URLs (won't work):
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- `http://localhost:8080` → Redirects to `/resumeformatter`
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- `http://localhost:8080/` → Redirects to `/resumeformatter`
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- `http://localhost:8080/resumeformatter/` → May work but use without trailing slash
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## Verify It's Working:
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### 1. Check Docker Container Status:
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```bash
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docker ps
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```
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You should see: `resumeformatter-resumeformatter-1` running on port 8080
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### 2. Check Logs:
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```bash
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docker logs resumeformatter-resumeformatter-1 --tail 20
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```
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Should show:
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- ✅ "Successfully mounted assets from /app/dist/assets at /resumeformatter/assets"
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- ✅ "Uvicorn running on http://0.0.0.0:8080"
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### 3. Test Health Endpoint:
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```bash
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curl http://localhost:8080/api/health
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```
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Should return: `{"status":"ok"}`
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### 4. Test Frontend:
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```bash
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curl -I http://localhost:8080/resumeformatter
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```
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Should return: `HTTP/1.1 200 OK`
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## API Documentation:
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Once the app is running, you can access the interactive API docs at:
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```
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http://localhost:8080/resumeformatter/api/docs
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```
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## Available API Endpoints:
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### Resume Endpoints:
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- `GET /resumeformatter/api/resumes/templates` - List available templates from R2
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- `GET /resumeformatter/api/resumes/templates/{name}` - Get specific template content
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- `POST /resumeformatter/api/resumes/convert` - Convert resume (upload file + template)
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- `GET /resumeformatter/api/resumes/history` - Get conversion history from R2
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- `GET /resumeformatter/api/resumes/download/{key}` - Get presigned download URL
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### Legacy People Endpoints (from template):
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- `GET /resumeformatter/api/people` - Get all people
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- `POST /resumeformatter/api/people` - Create new person
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## Testing the R2 Integration:
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### 1. List Templates:
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```bash
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curl http://localhost:8080/resumeformatter/api/resumes/templates
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```
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### 2. Get Template Content:
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```bash
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curl http://localhost:8080/resumeformatter/api/resumes/templates/Google
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```
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### 3. Upload and Convert Resume:
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```bash
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curl -X POST http://localhost:8080/resumeformatter/api/resumes/convert \
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-F "file=@your-resume.pdf" \
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-F "template_name=Google"
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```
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### 4. View History:
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```bash
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curl http://localhost:8080/resumeformatter/api/resumes/history
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```
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## Next Steps:
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### ✅ IMMEDIATE - Test the app:
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1. Open browser: `http://localhost:8080/resumeformatter`
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2. Try selecting a template
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3. Try uploading a resume file
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4. Check if templates load from R2
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5. Test the conversion process
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### 🔄 SOON - Frontend needs updating:
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The frontend still has **mock R2 functions** that need to be replaced with real API calls:
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- `fetchTemplatesFromR2()` → Call `/api/resumes/templates`
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- `fetchTemplateContentFromR2()` → Call `/api/resumes/templates/{name}`
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- `handleGenerate()` → Call `/api/resumes/convert`
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- `fetchConvertedResumesFromR2()` → Call `/api/resumes/history`
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Would you like me to update the frontend to use the real backend API?
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## Common Issues & Solutions:
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### Issue: "Can't connect" or "Site can't be reached"
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**Solution:** Make sure Docker container is running: `docker ps`
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### Issue: Blank page or loading forever
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**Solution:** Check browser console (F12) for JavaScript errors
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### Issue: 404 Not Found
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**Solution:** Make sure you're using `/resumeformatter` in the URL
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### Issue: Templates not loading
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**Solution:** Check R2 credentials in `.env` file and verify bucket contains templates
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### Issue: AI conversion fails
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**Solution:** Check if `GEMINI_API_KEY` is set correctly in `.env`
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## Useful Commands:
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```bash
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# Start containers
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docker-compose up -d
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# View logs
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docker logs -f resumeformatter-resumeformatter-1
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# Stop containers
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docker-compose down
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# Rebuild after code changes
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docker-compose up --build
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# Force rebuild (ignore cache)
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CACHEBUST=$(date +%s) docker-compose up --build
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# Enter container shell
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docker exec -it resumeformatter-resumeformatter-1 sh
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# Check environment variables in container
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docker exec resumeformatter-resumeformatter-1 env | grep -E '(APP_NAME|R2_|GEMINI)'
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```
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## Architecture Reminder:
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```
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Browser → http://localhost:8080/resumeformatter
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↓
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FastAPI serves index.html
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↓
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React App loads (with correct /resumeformatter/assets/ paths)
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↓
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User interacts with frontend
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↓
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Frontend calls /resumeformatter/api/* endpoints
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↓
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Backend processes request
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↓
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Backend calls R2 / Gemini AI
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↓
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Response returned to user
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```
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## Success! 🎉
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Your Docker container is now running correctly and the app should be accessible at:
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**http://localhost:8080/resumeformatter**
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Try it now and let me know what you see!
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