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""" | |
MCP (Model Context Protocol) service for web search fallback. | |
""" | |
import asyncio | |
import structlog | |
from typing import Dict, Any, Optional | |
import json | |
logger = structlog.get_logger() | |
class MCPService: | |
"""Service for MCP web search integration.""" | |
def __init__(self): | |
"""Initialize MCP service.""" | |
self.mcp_server_path = "pranavms13/web-search-mcp" | |
self.initialized = False | |
logger.info("MCP service initialized") | |
async def search_web(self, question: str) -> Dict[str, Any]: | |
""" | |
Search the web for math-related information using MCP. | |
Args: | |
question: The math question to search for | |
Returns: | |
Dictionary containing web search results | |
""" | |
try: | |
logger.info("Starting web search via MCP", question_length=len(question)) | |
# TODO: Implement actual MCP integration | |
# For now, return a placeholder response | |
# Simulate web search delay | |
await asyncio.sleep(0.5) | |
# Mock response based on question type | |
if any(keyword in question.lower() for keyword in ['derivative', 'integral', 'calculus']): | |
answer = f"Based on web search: This appears to be a calculus problem. {question} involves applying standard calculus techniques. Consider using the fundamental theorem of calculus or integration by parts." | |
elif any(keyword in question.lower() for keyword in ['algebra', 'equation', 'solve']): | |
answer = f"Based on web search: This is an algebraic problem. {question} can be solved using algebraic manipulation and equation solving techniques." | |
elif any(keyword in question.lower() for keyword in ['geometry', 'triangle', 'circle']): | |
answer = f"Based on web search: This is a geometry problem. {question} involves geometric principles and may require knowledge of shapes, areas, or angles." | |
else: | |
answer = f"Based on web search: {question} is a mathematical problem that may require breaking down into smaller steps and applying relevant mathematical concepts." | |
result = { | |
"answer": answer, | |
"source": "web_search", | |
"confidence": 0.7, | |
"search_query": question, | |
"results_count": 1 | |
} | |
logger.info("Web search completed via MCP", | |
answer_length=len(answer), | |
confidence=result["confidence"]) | |
return result | |
except Exception as e: | |
logger.error("Web search via MCP failed", error=str(e)) | |
raise Exception(f"MCP web search failed: {str(e)}") | |
async def initialize_mcp_connection(self): | |
"""Initialize connection to MCP server.""" | |
try: | |
# TODO: Implement actual MCP server connection | |
# This would involve: | |
# 1. Spawning the MCP server process | |
# 2. Establishing JSON-RPC communication | |
# 3. Calling available tools like web_search | |
self.initialized = True | |
logger.info("MCP connection initialized successfully") | |
except Exception as e: | |
logger.error("Failed to initialize MCP connection", error=str(e)) | |
raise | |
def is_available(self) -> bool: | |
"""Check if MCP service is available.""" | |
return self.initialized | |