# Quick Start Guide

## Installation (5 minutes)

```bash
# 1. Install dependencies with uv
uv pip install -r requirements.txt

# 2. Start Docker services (PostgreSQL + MinIO)
docker-compose up -d

# 3. Initialize database
python init_db.py
# Choose option 1: Create tables

# 4. Verify setup
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "\dt"
# Should show: users, profiles tables
```

## Running the Application

### Option 1: All-in-One (Recommended for Development)
```bash
python bot.py
```
This starts both the FastAPI server and Telegram bot together.

### Option 2: Separate Processes (For Testing)
```bash
# Terminal 1: API Server
uvicorn app:app --reload --host localhost --port 8000

# Terminal 2: Telegram Bot
.venv/bin/python -c "from bot import start_bot; import asyncio; asyncio.run(start_bot())"
```

## Testing the API

### 1. Test Login Endpoint
```bash
curl http://localhost:8000/login
```
**Expected response:**
```json
{
  "message": "Нажмите на кнопку для регистрации",
  "url": "https://t.me/ITMOshkaBot?start={token}",
  "check_status_url": "/check-auth/{token}"
}
```

### 2. Check Database Tokens
```bash
curl http://localhost:8000/database/tokens
```
**Expected response:**
```json
[
  {
    "token": "uuid-here",
    "status": "pending",
    "username": null
  }
]
```

### 3. Test Profile Creation
```bash
curl -X POST http://localhost:8000/profile \
  -F "name=John Doe" \
  -F "email=john@example.com" \
  -F "position=Python Developer" \
  -F "skills=Python, FastAPI, PostgreSQL" \
  -F "cv=@/path/to/resume.pdf"
```

### 4. Get Profile
```bash
curl http://localhost:8000/profile/john@example.com
```

### 5. List Vacancies
```bash
curl http://localhost:8000/vacancies
```

## Database Quick Commands

### View All Users
```bash
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "SELECT * FROM users;"
```

### View All Profiles
```bash
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "SELECT email, name, position FROM profiles;"
```

### Delete All Users (Reset)
```bash
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "DELETE FROM users;"
```

### Count Records
```bash
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "SELECT COUNT(*) FROM users;"
docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "SELECT COUNT(*) FROM profiles;"
```

## Common Tasks

### Reset Database
```bash
python init_db.py
# Choose option 2: Drop and recreate tables
```

### Check PostgreSQL Logs
```bash
docker logs rag_ai_postgres -f
```

### Check MinIO Status
```bash
docker ps | grep minio
# Or visit: http://localhost:9001
# Login: minioadmin / minioadmin
```

### Backup Database
```bash
docker exec rag_ai_postgres pg_dump -U postgres rag_ai_assistant > backup_$(date +%Y%m%d).sql
```

### Restore Database
```bash
docker exec -i rag_ai_postgres psql -U postgres rag_ai_assistant < backup_20240109.sql
```

## Environment Variables (.env)

Make sure these are set correctly:

```env
# Bot
BOT_API_KEY=your_telegram_bot_token_here

# Database
POSTGRES_USER=postgres
POSTGRES_PASSWORD=postgres
POSTGRES_DB=rag_ai_assistant
POSTGRES_HOST=localhost
POSTGRES_PORT=5432

# MinIO
MINIO_ENDPOINT=localhost:9000
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=minioadmin
MINIO_BUCKET=resumes
```

## Troubleshooting

### "Connection refused" errors
```bash
# Check if PostgreSQL is running
docker ps | grep postgres

# Restart if needed
docker-compose restart rag_ai_postgres
```

### "No module named 'X'" errors
```bash
# Reinstall dependencies
uv pip install -r requirements.txt
```

### Database tables don't exist
```bash
# Reinitialize
python init_db.py
```

### Bot not responding
```bash
# Check bot token in .env
cat .env | grep BOT_API_KEY

# Test bot manually
curl https://api.telegram.org/bot{YOUR_TOKEN}/getMe
```

## API Documentation

Once running, visit:
- **Swagger UI:** http://localhost:8000/docs
- **ReDoc:** http://localhost:8000/redoc

## Project Structure

```
├── app.py                 # FastAPI application
├── bot.py                 # Telegram bot
├── config.py              # Configuration
├── init_db.py             # Database setup script
├── requirements.txt       # Dependencies
├── .env                   # Environment variables (create this!)
├── database/
│   └── database.py        # ORM models & DB session
└── tests/                 # Your tests
```

## Next Steps

1. ✅ Database is set up
2. ✅ API is working
3. ✅ Bot is connected
4. 📝 Test the authentication flow
5. 📝 Test profile creation
6. 📝 Add your custom business logic

## Support

- **Documentation:** See [README.md](README.md) for full details
- **Implementation Details:** See [IMPLEMENTATION_SUMMARY.md](IMPLEMENTATION_SUMMARY.md)
- **Database Schema:** See diagrams in implementation summary

---

**Status:** ✅ All systems operational
**PostgreSQL:** Port 5432
**MinIO:** Port 9000 (API) / 9001 (Console)
**FastAPI:** Port 8000