#!/usr/bin/env python3
"""
🧪 Test Script: Verify Goals Flow Fix for Technical Questions
"""
def test_goals_flow_fix():
"""Test if technical questions now include conversation context"""
print("🧪 TESTING GOALS FLOW FIX FOR TECHNICAL QUESTIONS")
print("=" * 70)
try:
# Test 1: Import optimized prompt generator
print("1️⃣ Testing optimized prompt generator import...")
from optimized_prompt_generator import OptimizedPromptGenerator
generator = OptimizedPromptGenerator()
print("✅ OptimizedPromptGenerator imported successfully")
# Test 2: Create test context
print("\n2️⃣ Testing with technical question...")
from prompt_generator import PromptContext
test_context = PromptContext(
conversation_summary="Test conversation summary",
action_history="Test action history",
tech_stack="Test tech stack",
project_plans="🎯 PROJECT PLANS & OBJECTIVES:\n1. Build powerful conversation tracking system ✅\n2. Implement context-aware prompt processing ✅\n3. Create intelligent memory management system ✅",
user_preferences="Test user preferences",
agent_metadata="Test agent metadata",
recent_interactions=[],
project_patterns=[],
best_practices=[],
common_issues=[],
development_workflow=[],
confidence_score=0.9,
context_type="test"
)
# Test 3: Test intent classification for technical question
print("\n3️⃣ Testing intent classification for technical question...")
context_dict = generator._context_to_dict(test_context)
if generator.intent_selector:
relevant_context, intent_analysis = generator.intent_selector.select_relevant_context(
"test goals flow and updates",
context_dict
)
print(f"✅ Intent classification successful")
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")
return
# Test 4: Test full prompt generation
print("\n4️⃣ Testing full prompt generation...")
try:
full_prompt = generator._create_phase1_optimized_prompt(
"test goals flow and updates",
test_context,
"smart"
)
print(f"✅ Full prompt generated")
print(f"📋 Prompt length: {len(full_prompt)}")
print(f"💬 Contains context: {'💬 CONTEXT:' in full_prompt}")
print(f"📝 Contains recent: {'📝 RECENT:' in full_prompt}")
print(f"🎯 Contains goals: {'🎯 GOALS:' in full_prompt}")
# Show the relevant section
if '💬 CONTEXT:' in full_prompt:
context_start = full_prompt.find('💬 CONTEXT:')
context_end = full_prompt.find('\n\n', context_start)
if context_end == -1:
context_end = len(full_prompt)
context_section = full_prompt[context_start:context_end]
print(f"📋 Conversation context section:\n{context_section}")
else:
print("❌ No conversation context section found!")
except Exception as e:
print(f"❌ Full prompt generation failed: {e}")
import traceback
traceback.print_exc()
print("\n" + "=" * 70)
print("🧪 TEST COMPLETE")
# Final assessment
if '💬 CONTEXT:' in full_prompt and '🎯 GOALS:' in full_prompt:
print("🎉 SUCCESS: Technical questions now include conversation context with goals!")
else:
print("❌ FAILURE: Technical questions still missing conversation context!")
except Exception as e:
print(f"❌ Error during testing: {e}")
import traceback
traceback.print_exc()
if __name__ == "__main__":
test_goals_flow_fix()
