feat: Migrate to ultrathin monolith architecture
Consolidate 3 separate applications (reports-app, data-entry-app, telegram-bot) into a unified
architecture with single backend and frontend:
Backend Changes:
- Unified FastAPI backend at backend/ with modular structure
- Modules: reports, data_entry, telegram in backend/modules/
- Centralized config.py and main.py with all routers registered
- Single worker mode (--workers 1) for Telegram bot compatibility
- Shared Oracle connection pool and JWT authentication
- Unified requirements.txt and environment configuration
Frontend Changes:
- Single Vue.js SPA with module-based routing
- Unified frontend at src/ with modules in src/modules/{reports,data-entry}/
- Shared components and stores in src/shared/
- Error boundaries for module isolation
- Dual API proxy in Vite for module communication
Infrastructure:
- New unified startup scripts: start-prod.sh, start-test.sh, start-backend.sh
- Environment templates: .env.dev.example, .env.test.example, .env.prod.example
- Updated deployment scripts for Windows IIS
- Simplified SSH tunnel management
Documentation:
- Comprehensive CLAUDE.md with architecture overview
- Module-specific docs in docs/{data-entry,telegram}/
- Architecture decision records in docs/ARCHITECTURE-DECISIONS.md
- Deployment guides consolidated in deployment/windows/docs/
This migration reduces complexity, improves maintainability, and enables easier
deployment while maintaining all existing functionality.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
171
backend/modules/telegram/auth/email_auth.py
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171
backend/modules/telegram/auth/email_auth.py
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"""
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Email authentication logic with crypto-secure code generation
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"""
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import secrets
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import re
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import logging
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from datetime import datetime, timedelta
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from typing import Optional, Dict
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from collections import defaultdict
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logger = logging.getLogger(__name__)
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# ============================================================================
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# RATE LIMITING (In-Memory)
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# ============================================================================
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# NOTE: For production with multiple bot instances, migrate to Redis
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# See "Optional Future Enhancements" section in plan
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_rate_limit_store: Dict[str, list] = defaultdict(list)
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async def check_rate_limit(
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identifier: str,
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max_attempts: int = 3,
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window_minutes: int = 60
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) -> bool:
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"""
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Check if identifier is within rate limit
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Args:
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identifier: Email or telegram_user_id (as string)
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max_attempts: Maximum attempts allowed
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window_minutes: Time window in minutes
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Returns:
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True if within limit (can proceed), False if exceeded
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NOTE: In-memory implementation - resets on bot restart
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"""
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now = datetime.now()
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cutoff = now - timedelta(minutes=window_minutes)
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# Clean old attempts
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_rate_limit_store[identifier] = [
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attempt for attempt in _rate_limit_store[identifier]
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if attempt > cutoff
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]
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# Check limit
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if len(_rate_limit_store[identifier]) >= max_attempts:
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logger.warning(f"Rate limit exceeded for {identifier}")
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return False
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# Add new attempt
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_rate_limit_store[identifier].append(now)
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return True
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def clear_rate_limit(identifier: str) -> None:
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"""Clear rate limit for identifier (e.g., after successful auth)"""
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if identifier in _rate_limit_store:
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del _rate_limit_store[identifier]
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logger.debug(f"Rate limit cleared for {identifier}")
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# ============================================================================
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# CODE GENERATION (Crypto-Secure)
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# ============================================================================
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def generate_email_code() -> str:
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"""
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Generate crypto-secure 6-digit code
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Uses secrets module (not random) for cryptographic security
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Returns:
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6-digit string (000000 - 999999)
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"""
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# Generate 6-digit code using secrets (crypto-secure)
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code = ''.join(secrets.choice('0123456789') for _ in range(6))
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logger.debug(f"Generated email auth code (length: {len(code)})")
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return code
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# ============================================================================
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# EMAIL VALIDATION
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# ============================================================================
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def is_valid_email_format(email: str) -> bool:
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"""
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Validate email format (basic regex)
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Args:
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email: Email address to validate
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Returns:
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True if format is valid
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"""
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pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
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return bool(re.match(pattern, email))
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async def verify_email_in_oracle(email: str) -> Optional[str]:
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"""
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Verify email exists in Oracle UTILIZATORI table via backend API
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Args:
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email: Email address to check
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Returns:
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Oracle username if found and active, None otherwise
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NOTE: Uses backend API endpoint /api/telegram/auth/verify-email
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"""
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try:
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from backend.modules.telegram.api.client import get_backend_client
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backend_client = get_backend_client()
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# Call backend API to verify email
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response = await backend_client.verify_email(email)
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if response.get('success'):
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username = response.get('username')
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logger.info(f"Email verified via backend: {email} -> {username}")
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return username
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else:
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logger.warning(f"Email not found or inactive: {email}")
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return None
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except Exception as e:
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logger.error(f"Error verifying email via backend: {e}", exc_info=True)
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return None
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# ============================================================================
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# SESSION TOKEN GENERATION (Prevent User ID Spoofing)
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# ============================================================================
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def generate_session_token(telegram_user_id: int, email: str) -> str:
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"""
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Generate signed session token for backend verification
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This prevents user ID spoofing attacks where malicious clients
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could impersonate Telegram users by sending arbitrary user IDs
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Args:
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telegram_user_id: Telegram user ID
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email: Verified email address
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Returns:
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Signed token (simple implementation - upgrade to JWT in future)
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NOTE: For production, use proper JWT signing with shared secret
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"""
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import hashlib
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import os
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# Get secret from env (should match backend)
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secret = os.getenv("AUTH_SESSION_SECRET", "change-me-in-production")
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# Create signature: HMAC-like hash
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payload = f"{telegram_user_id}:{email}:{secret}"
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signature = hashlib.sha256(payload.encode()).hexdigest()[:16]
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# Token format: user_id:email:signature
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token = f"{telegram_user_id}:{email}:{signature}"
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logger.debug(f"Generated session token for user {telegram_user_id}")
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return token
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