MCP Document Processor

from typing import Dict, Any, List, Optional from datetime import datetime import re class DataValidator: """Utilities for validating extracted data.""" @staticmethod def validate_date(date_str: str) -> bool: """Validate if the string is a valid date.""" date_formats = [ "%Y-%m-%d", "%m/%d/%Y", "%d/%m/%Y", "%B %d, %Y", "%d %B %Y" ] for fmt in date_formats: try: datetime.strptime(date_str, fmt) return True except ValueError: continue return False @staticmethod def validate_email(email: str) -> bool: """Validate if the string is a valid email address.""" pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$' return bool(re.match(pattern, email)) @staticmethod def validate_phone(phone: str) -> bool: """Validate if the string is a valid phone number.""" # Remove all non-digit characters digits_only = re.sub(r'\D', '', phone) # Check if we have a reasonable number of digits return 7 <= len(digits_only) <= 15 @staticmethod def validate_amount(amount: str) -> bool: """Validate if the string is a valid monetary amount.""" # Remove currency symbols and commas clean_amount = re.sub(r'[$€£,]', '', amount) # Check if it's a valid number try: float(clean_amount) return True except ValueError: return False @staticmethod def confidence_check(data: Dict[str, Any], confidence_scores: Dict[str, float], threshold: float = 0.7) -> List[str]: """Check which fields have confidence scores below threshold.""" low_confidence_fields = [] for field, value in data.items(): if field in confidence_scores and confidence_scores[field] < threshold: low_confidence_fields.append(field) return low_confidence_fields