- Add A-Z alphabetical filter keyboard for clients and suppliers lists (same pattern as company selection, without emoji) - Increase clients/suppliers list pagination from 10 to 20 items per page - Remove emoji from company A-Z filter button for consistency - Add 6 new callback handlers: clients_alpha_menu, clients_alpha:LETTER, clients_alpha_page:PAGE:LETTER, and supplier equivalents - Dashboard service and models updates - Telegram bot: email handlers, auth, DB operations, internal API improvements - Frontend: dashboard cards updates (CashFlow, Clienti, Furnizori, Treasury) - Frontend: SolduriCompactCard and CollapsibleCard improvements - DashboardView enhancements - start.sh and run-with-restart.sh script updates - IIS web.config and service worker updates Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
173 lines
5.2 KiB
Python
173 lines
5.2 KiB
Python
"""
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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, server_id: Optional[str] = None) -> 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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server_id: Optional Oracle server ID (for multi-server mode)
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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 (on specific server if provided)
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response = await backend_client.verify_email(email, server_id=server_id)
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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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