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import pandas as pd
import sys
import os
from unittest.mock import MagicMock
# Add the project root to the path so we can import modules
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from core.engines.diagnostics import perform_defect_analysis
def test_defect_analysis():
print("Testing perform_defect_analysis...")
# Create a dummy DataFrame
df = pd.DataFrame({
'Time_ms': range(100),
'Current': [0] * 100,
'Resistance': [100] * 100,
'Travel': [0] * 100
})
# Mock the LLM
mock_llm = MagicMock()
mock_response = MagicMock()
mock_response.content = """
{
"image_url": "test_url",
"overall_condition": "Healthy",
"executive_lead": "Test Executive Lead",
"detected_issues": [],
"analysis_metrics": {
"static_resistance_Rp_uOhm": 50.0,
"signal_noise_level": "Low",
"wipe_quality": "Normal"
},
"maintenance_recommendation": "None"
}
"""
mock_llm.invoke.return_value = mock_response
# Run the analysis
try:
result = perform_defect_analysis(df, mock_llm)
print("Analysis successful!")
print("Result:", result)
# Basic assertions
assert result['overall_condition'] == "Healthy"
assert result['executive_lead'] == "Test Executive Lead"
except Exception as e:
print(f"Analysis failed: {e}")
raise
if __name__ == "__main__":
test_defect_analysis()
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