From d70fdebe1bf4c1552844b02220f53f9befbf7a0b Mon Sep 17 00:00:00 2001
From: artemnto1 <artemnto1@gmail.com>
Date: Tue, 13 Jan 2026 13:41:29 +0100
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-# PostgreSQL Database Implementation Summary
-
-## What Was Done
-
-Successfully migrated from in-memory fake_db dictionaries to PostgreSQL with async SQLAlchemy ORM.
-
-## Files Modified
-
-### 1. [database/database.py](database/database.py) - **COMPLETELY REWRITTEN**
-**Changes:**
-- ✅ Converted from synchronous to **async SQLAlchemy** (using `asyncpg` driver)
-- ✅ Added proper `User` model with:
-  - Auto-increment `id` as primary key
-  - Unique indexed `telegram_id` and `token`
-  - `created_at` and `updated_at` timestamps
-  - Composite index on `token` and `status`
-- ✅ Added `Profile` model with:
-  - All fields from your Pydantic model
-  - Email as unique indexed field
-  - Timestamps
-- ✅ Created `get_db()` dependency for FastAPI
-- ✅ Added `init_db()` and `drop_db()` utility functions
-- ✅ Configured connection pooling and async engine
-
-### 2. [app.py](app.py) - **MAJOR UPDATES**
-**Changes:**
-- ✅ Removed `profile_db = {}` in-memory dict
-- ✅ Added database imports and `Depends(get_db)` to all endpoints
-- ✅ Added `@app.on_event("startup")` to initialize DB on app start
-- ✅ Updated `/profile` POST endpoint:
-  - Now saves to PostgreSQL `profiles` table
-  - Handles create/update logic
-  - Properly commits transactions
-- ✅ Updated `/profile/{email}` GET endpoint:
-  - Queries from PostgreSQL
-  - Converts DB model to Pydantic response
-- ✅ Updated `/login` endpoint:
-  - Creates `User` record with pending status
-  - Stores in PostgreSQL instead of dict
-- ✅ Updated `/check-auth/{token}` endpoint:
-  - Queries user by token from PostgreSQL
-  - Returns proper status
-- ✅ Updated `/database/tokens` endpoint:
-  - Lists all users from database
-
-### 3. [bot.py](bot.py) - **MAJOR REFACTORING**
-**Changes:**
-- ✅ Removed all references to `fake_db`
-- ✅ Removed `app.db = fake_db` synchronization code
-- ✅ Added proper database imports
-- ✅ Updated `/start` command handler:
-  - Uses `AsyncSessionLocal()` for DB sessions
-  - Queries user by token
-  - Updates telegram_id, username, and status
-  - Proper error handling with rollback
-- ✅ Added `init_db()` call in `start_bot()`
-
-### 4. [requirements.txt](requirements.txt) - **CREATED**
-**New dependencies:**
-- FastAPI + Uvicorn
-- Pydantic with email support
-- SQLAlchemy 2.0 with async support
-- asyncpg (PostgreSQL async driver)
-- psycopg2-binary (backup driver)
-- greenlet (required for SQLAlchemy async)
-- aiogram 3.3.0 (Telegram bot)
-- minio (file storage)
-- python-dotenv
-- Testing: pytest, pytest-asyncio, httpx
-
-### 5. [init_db.py](init_db.py) - **CREATED**
-**Purpose:** Interactive script to initialize or reset database
-**Features:**
-- Option 1: Create tables
-- Option 2: Drop and recreate (reset)
-- Safe with confirmation prompts
-
-### 6. [README.md](README.md) - **COMPLETELY REWRITTEN**
-**New content:**
-- Complete setup instructions
-- Database schema documentation
-- API endpoints reference
-- Usage flow diagram
-- Development guide
-- Troubleshooting section
-
-## Database Schema
-
-### Users Table
-```sql
-CREATE TABLE users (
-    id SERIAL PRIMARY KEY,
-    telegram_id INTEGER NOT NULL UNIQUE,
-    token VARCHAR(255) NOT NULL UNIQUE,
-    username VARCHAR(100),
-    status VARCHAR(50) NOT NULL DEFAULT 'pending',
-    created_at TIMESTAMP NOT NULL DEFAULT NOW(),
-    updated_at TIMESTAMP NOT NULL DEFAULT NOW()
-);
-CREATE INDEX idx_token_status ON users(token, status);
-CREATE UNIQUE INDEX ix_users_telegram_id ON users(telegram_id);
-CREATE UNIQUE INDEX ix_users_token ON users(token);
-```
-
-### Profiles Table
-```sql
-CREATE TABLE profiles (
-    id SERIAL PRIMARY KEY,
-    email VARCHAR(255) NOT NULL UNIQUE,
-    name VARCHAR(255) NOT NULL,
-    position VARCHAR(255) NOT NULL,
-    competencies TEXT,
-    experience TEXT,
-    skills TEXT,
-    country VARCHAR(100),
-    languages VARCHAR(255),
-    employment_format VARCHAR(100),
-    rate VARCHAR(100),
-    relocation VARCHAR(100),
-    cv_url VARCHAR(500),
-    created_at TIMESTAMP NOT NULL DEFAULT NOW(),
-    updated_at TIMESTAMP NOT NULL DEFAULT NOW()
-);
-CREATE UNIQUE INDEX ix_profiles_email ON profiles(email);
-```
-
-## Architecture Benefits
-
-### Before (In-Memory Dicts)
-❌ Data lost on restart
-❌ No persistence
-❌ No concurrent access control
-❌ No data validation at DB level
-❌ No relationships or constraints
-❌ No transaction safety
-
-### After (PostgreSQL + SQLAlchemy)
-✅ **Persistent** - Data survives restarts
-✅ **ACID compliant** - Transaction safety
-✅ **Concurrent** - Handle multiple requests
-✅ **Indexed** - Fast queries on telegram_id, token, email
-✅ **Constraints** - Unique tokens, emails
-✅ **Timestamps** - Track created_at, updated_at
-✅ **Async** - Non-blocking database operations
-✅ **Pooling** - Efficient connection management
-
-## How It Works Now
-
-### Authentication Flow
-1. User visits website → `GET /login`
-2. FastAPI creates new `User` record in PostgreSQL:
-   ```python
-   User(telegram_id=0, token=uuid4(), status='pending')
-   ```
-3. Returns Telegram bot URL with token
-4. User clicks link → Opens bot → Sends `/start {token}`
-5. Bot queries database for token:
-   ```python
-   user = await session.execute(select(User).where(User.token == token))
-   ```
-6. Bot updates user:
-   ```python
-   user.telegram_id = message.from_user.id
-   user.username = message.from_user.username
-   user.status = 'success'
-   await session.commit()
-   ```
-7. Website polls `/check-auth/{token}` → Gets auth status from DB
-
-### Profile Management Flow
-1. User submits profile → `POST /profile`
-2. FastAPI uploads CV to MinIO
-3. Checks if profile exists:
-   ```python
-   existing = await db.execute(select(Profile).where(Profile.email == email))
-   ```
-4. Updates existing or creates new profile
-5. Commits to PostgreSQL
-
-## Testing the Implementation
-
-### 1. Initialize Database
-```bash
-python init_db.py
-# Choose option 1 to create tables
-```
-
-### 2. Verify Tables
-```bash
-docker exec rag_ai_postgres psql -U postgres -d rag_ai_assistant -c "\dt"
-# Should show: users, profiles
-```
-
-### 3. Test Database Connection
-```bash
-.venv/bin/python database/database.py
-# Should create test user and retrieve it
-```
-
-### 4. Start Application
-```bash
-# Option A: Together
-python bot.py
-
-# Option B: Separate terminals
-uvicorn app:app --reload
-# In another terminal:
-python -c "from bot import start_bot; import asyncio; asyncio.run(start_bot())"
-```
-
-### 5. Test Endpoints
-```bash
-# Test login
-curl http://localhost:8000/login
-
-# Test check-auth
-curl http://localhost:8000/check-auth/{token}
-
-# Test tokens list
-curl http://localhost:8000/database/tokens
-```
-
-## Common Issues & Solutions
-
-### Issue: "No module named 'sqlalchemy'"
-**Solution:** Install dependencies
-```bash
-uv pip install -r requirements.txt
-```
-
-### Issue: "the greenlet library is required"
-**Solution:** Already added to requirements.txt
-```bash
-uv pip install greenlet==3.0.3
-```
-
-### Issue: "Connection refused" to PostgreSQL
-**Solution:** Start Docker services
-```bash
-docker-compose up -d
-docker ps  # Verify postgres is running
-```
-
-### Issue: Old table structure
-**Solution:** Reset database
-```bash
-python init_db.py  # Choose option 2 (reset)
-```
-
-## Next Steps (Optional Improvements)
-
-1. **Add foreign key relationship** between users and profiles
-2. **Implement token expiration** (add expires_at column)
-3. **Add database migrations** (Alembic)
-4. **Add indexes** for common queries
-5. **Implement connection pooling tuning** for production
-6. **Add Redis caching** for frequently accessed data
-7. **Implement soft deletes** (deleted_at column)
-8. **Add audit logs** table for tracking changes
-9. **Create database backup scripts**
-10. **Add monitoring** with Prometheus/Grafana
-
-## Code Quality Improvements Made
-
-- ✅ **Type hints** throughout database code
-- ✅ **Docstrings** on all major functions
-- ✅ **Error handling** with try/except and rollback
-- ✅ **Session management** using context managers
-- ✅ **Connection pooling** with proper configuration
-- ✅ **Index optimization** on frequently queried fields
-- ✅ **Async/await** pattern throughout
-- ✅ **Environment variables** for all config
-- ✅ **Dependency injection** with FastAPI Depends()
-
-## Summary
-
-Your application now has a **production-ready database layer** with:
-- ✅ Proper ORM models
-- ✅ Async database operations
-- ✅ Transaction safety
-- ✅ Data persistence
-- ✅ Proper indexing
-- ✅ Error handling
-- ✅ Clean architecture
-
-All the logic for authentication tokens and profile storage has been successfully migrated from in-memory dictionaries to PostgreSQL!