from typing import List, Dict import re from langchain.tools import BaseTool, StructuredTool from langchain.pydantic_v1 import BaseModel, Field from config import UAE_LEGAL_DOMAINS def is_arabic(text: str) -> bool: """Check if the text contains Arabic characters.""" arabic_pattern = re.compile('[\u0600-\u06FF\u0750-\u077F\u08A0-\u08FF]+') return bool(arabic_pattern.search(text)) def search_uae_legal_database(query: str) -> str: """Search UAE legal databases for laws, regulations, and precedents.""" return f"Found relevant UAE legal information for: {query}" def translate_legal_term(term: str) -> str: """Translate legal terms between Arabic and English.""" return f"Translation for: {term}" def search_uae_case_law(query: str) -> str: """Search UAE case law and legal precedents.""" return f"Found relevant UAE case law for: {query}" def create_uae_legal_tools() -> List[BaseTool]: """Create tools for UAE legal research.""" return [ StructuredTool.from_function( func=search_uae_legal_database, name="UAE Legal Database Search", description="Search UAE legal databases for laws, regulations, and precedents" ), StructuredTool.from_function( func=translate_legal_term, name="Arabic Legal Term Translation", description="Translate legal terms between Arabic and English" ), StructuredTool.from_function( func=search_uae_case_law, name="UAE Case Law Search", description="Search UAE case law and legal precedents" ) ] def format_legal_response(response: str, language: str = 'ar') -> str: """Format legal responses with proper styling and language direction.""" if language == 'ar': return f'
{response}
' return response