MCP Agent Tracker

#!/usr/bin/env python3 """ 🔍 Debug Script: Test what context data is available """ def test_context_data(): """Test what context data is available""" print("🔍 DEBUGGING CONTEXT DATA AVAILABILITY") print("=" * 50) try: # Test 1: Import prompt generator print("1️⃣ Testing prompt generator import...") from prompt_generator import PromptGenerator generator = PromptGenerator() print("✅ PromptGenerator imported successfully") # Test 2: Test context gathering print("\n2️⃣ Testing context gathering...") context = generator._gather_context_data("test message", "smart") print(f"✅ Context gathered successfully") print(f"📋 Context type: {type(context)}") # Test 3: Check context fields print("\n3️⃣ Checking context fields...") print(f"📋 Conversation summary: {hasattr(context, 'conversation_summary')}") if hasattr(context, 'conversation_summary'): print(f" Content: {context.conversation_summary[:100]}...") print(f"📋 Action history: {hasattr(context, 'action_history')}") if hasattr(context, 'action_history'): print(f" Content: {context.action_history[:100]}...") print(f"📋 User preferences: {hasattr(context, 'user_preferences')}") if hasattr(context, 'user_preferences'): print(f" Content: {context.user_preferences[:100]}...") print(f"📋 Tech stack: {hasattr(context, 'tech_stack')}") if hasattr(context, 'tech_stack'): print(f" Content: {context.tech_stack[:100]}...") # Test 4: Test optimized prompt generator print("\n4️⃣ Testing optimized prompt generator...") from optimized_prompt_generator import OptimizedPromptGenerator opt_generator = OptimizedPromptGenerator() print("✅ OptimizedPromptGenerator imported successfully") # Test 5: Test context conversion print("\n5️⃣ Testing context conversion...") context_dict = opt_generator._context_to_dict(context) print(f"✅ Context converted to dict") print(f"📋 Available keys: {list(context_dict.keys())}") # Test 6: Test intent classification print("\n6️⃣ Testing intent classification...") if opt_generator.intent_selector: relevant_context, intent_analysis = opt_generator.intent_selector.select_relevant_context( "test to see if we now have action history and conversation summary", context_dict ) print(f"✅ Intent classified successfully") print(f"🎯 Intent: {intent_analysis.primary_intent.value}") print(f"📋 Context requirements: {intent_analysis.context_requirements}") print(f"🔧 Selected context: {list(relevant_context.keys())}") else: print("⚠️ Intent selector not available") print("\n" + "=" * 50) print("🔍 DEBUG COMPLETE") except Exception as e: print(f"❌ Error during debugging: {e}") import traceback traceback.print_exc() if __name__ == "__main__": test_context_data()