#!/usr/bin/env python3
"""
Quick LV Framework Validation Test
=================================
Tests the core components of the LV framework to ensure everything is working.
"""
import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))
def test_lv_imports():
"""Test that LV modules can be imported"""
try:
from mcp_neocoder.lv_ecosystem import EntropyEstimator, LVEcosystem
from mcp_neocoder.lv_neo4j_storage import LVNeo4jStorage
print("✅ LV modules imported successfully")
return True
except ImportError as e:
print(f"❌ Import error: {e}")
return False
def test_entropy_calculation():
"""Test entropy calculation functionality"""
try:
from mcp_neocoder.lv_ecosystem import EntropyEstimator
estimator = EntropyEstimator()
# Test high entropy prompt
high_entropy_prompt = "Give me multiple creative approaches to solve climate change using diverse innovative strategies"
high_entropy = estimator.estimate_prompt_entropy(high_entropy_prompt)
# Test low entropy prompt
low_entropy_prompt = "What is the capital of France?"
low_entropy = estimator.estimate_prompt_entropy(low_entropy_prompt)
print(f"✅ Entropy calculation working:")
print(f" High entropy prompt: {high_entropy:.3f}")
print(f" Low entropy prompt: {low_entropy:.3f}")
# Validate that high entropy > low entropy
if high_entropy > low_entropy:
print("✅ Entropy ordering is correct")
return True
else:
print("❌ Entropy ordering is incorrect")
return False
except Exception as e:
print(f"❌ Entropy test failed: {e}")
return False
def test_lv_configuration_structure():
"""Test that LV configuration structure is valid"""
try:
# Test configuration structure
lv_config = {
'framework_version': '1.0',
'entropy_thresholds': [0.3, 0.6],
'damping_factor': 0.15,
'max_iterations': 10,
'convergence_threshold': 1e-6,
'weight_schemes': {
'low_entropy': {'quality': 0.9, 'novelty': 0.0, 'bias': 0.05, 'cost': 0.05},
'medium_entropy': {'quality': 0.6, 'novelty': 0.3, 'bias': 0.05, 'cost': 0.05},
'high_entropy': {'quality': 0.2, 'novelty': 0.7, 'bias': 0.05, 'cost': 0.05}
},
'alpha_weights': {'semantic': 0.6, 'niche': 0.3, 'task': 0.1}
}
# Validate weight schemes sum to 1.0
for scheme_name, weights in lv_config['weight_schemes'].items():
total = sum(weights.values())
if abs(total - 1.0) < 0.001:
print(f"✅ {scheme_name} weights sum correctly: {total:.3f}")
else:
print(f"❌ {scheme_name} weights sum incorrectly: {total:.3f}")
return False
# Validate alpha weights
alpha_total = sum(lv_config['alpha_weights'].values())
if abs(alpha_total - 1.0) < 0.001:
print(f"✅ Alpha weights sum correctly: {alpha_total:.3f}")
return True
else:
print(f"❌ Alpha weights sum incorrectly: {alpha_total:.3f}")
return False
except Exception as e:
print(f"❌ Configuration test failed: {e}")
return False
def main():
"""Run LV framework validation tests"""
print("🧬 LV Framework Validation Test")
print("=" * 40)
tests = [
("Module Imports", test_lv_imports),
("Entropy Calculation", test_entropy_calculation),
("Configuration Structure", test_lv_configuration_structure)
]
passed = 0
total = len(tests)
for test_name, test_func in tests:
print(f"\nTesting {test_name}...")
if test_func():
passed += 1
print(f"\n{'='*40}")
print(f"LV Framework Test Results: {passed}/{total} tests passed")
if passed == total:
print("🎉 LV Framework is ready for use!")
print("\nNext steps:")
print("1. Use Neo4j ActionTemplates with keywords: KNOWLEDGE_EXTRACT_LV, KNOWLEDGE_QUERY_LV, LV_SELECT")
print("2. Follow your established NeoCoder workflow procedure")
print("3. Entropy > 0.4 triggers LV enhancement automatically")
print("4. All results stored in Neo4j with full traceability")
return True
else:
print("❌ Some tests failed - please check the setup")
return False
if __name__ == "__main__":
main()
