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#!/usr/bin/env python3
"""
Debug script to identify adjective density issues
"""
import sys
import os
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
from app.core.adjective_enhancer import enhance_description
from app.core.spatial_analyzer import analyze_spatial_relations
from app.core.integration_engine import IntegratedVLM
def test_direct_components():
print("🔍 TESTING CORE COMPONENTS DIRECTLY")
print("=" * 60)
test_scenes = [
"a car near a building",
"a beautiful sunset over majestic mountains",
"a person walking a dog in a park"
]
# Test adjective enhancer directly
print("\n🧪 DIRECT ADJECTIVE ENHANCER TEST:")
for scene in test_scenes:
enhanced = enhance_description(scene, adjective_density=1.0)
print(f"Input: {scene}")
print(f"Enhanced: {enhanced}")
print(f"Adjective count: {len([word for word in enhanced.split() if word in ['beautiful', 'majestic', 'vibrant', 'serene', 'dramatic', 'elegant']])}")
print("-" * 40)
# Test integrated model
print("\n🧪 INTEGRATED MODEL TEST:")
try:
model = IntegratedVLM()
for scene in test_scenes:
result = model.process_scene(
scene_description=scene,
enhance_adjectives=True,
adjective_density=1.0,
include_spatial=True
)
print(f"Input: {scene}")
print(f"Output: {result['enhanced_description']}")
print(f"Metrics: {result['metrics']}")
print("-" * 40)
except Exception as e:
print(f"❌ Integrated model error: {e}")
# Test spatial analyzer
print("\n🧪 SPATIAL ANALYZER TEST:")
for scene in test_scenes:
spatial_result = analyze_spatial_relations(scene)
print(f"Input: {scene}")
print(f"Spatial relations: {spatial_result}")
print("-" * 40)
if __name__ == "__main__":
test_direct_components()
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