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#!/usr/bin/env python3
"""
Basic testing script for the Enhanced Ensemble Model
"""
import unittest
from PIL import Image
import numpy as np
from app import EnhancedEnsembleMemeAnalyzer
class TestEnhancedEnsemble(unittest.TestCase):
@classmethod
def setUpClass(cls):
"""Initialize the analyzer once for all tests"""
cls.analyzer = EnhancedEnsembleMemeAnalyzer()
# Create a simple test image
cls.test_image = Image.fromarray(np.random.randint(0, 255, (224, 224, 3), dtype=np.uint8))
def test_sentiment_analysis(self):
"""Test sentiment analysis functionality"""
# Test positive sentiment
positive_result = self.analyzer.analyze_sentiment("I love this content! It's amazing!")
self.assertIn(positive_result["label"], ["POSITIVE", "NEUTRAL"])
self.assertGreater(positive_result["score"], 0)
# Test negative sentiment
negative_result = self.analyzer.analyze_sentiment("This is terrible and offensive content")
self.assertIn(negative_result["label"], ["NEGATIVE", "NEUTRAL"])
self.assertGreater(negative_result["score"], 0)
def test_ocr_extraction(self):
"""Test OCR text extraction"""
result = self.analyzer.extract_text_from_image(self.test_image)
self.assertIsInstance(result, str)
def test_multimodal_classification(self):
"""Test multimodal content classification"""
result = self.analyzer.classify_multimodal_content(self.test_image, "test text")
self.assertIn("is_hateful", result)
self.assertIn("hate_probability", result)
self.assertIn("confidence", result)
self.assertIsInstance(result["is_hateful"], bool)
self.assertGreaterEqual(result["hate_probability"], 0)
self.assertLessEqual(result["hate_probability"], 1)
def test_ensemble_prediction(self):
"""Test ensemble prediction functionality"""
# Mock sentiment result
sentiment_result = {
"label": "NEGATIVE",
"score": 0.85,
"probabilities": [0.85, 0.10, 0.05]
}
# Mock multimodal result
multimodal_result = {
"is_hateful": True,
"hate_probability": 0.75,
"safe_probability": 0.25,
"confidence": 0.80,
"detailed_scores": []
}
ensemble_result = self.analyzer.ensemble_prediction(
sentiment_result, multimodal_result, "test text"
)
self.assertIn("risk_level", ensemble_result)
self.assertIn("risk_score", ensemble_result)
self.assertIn("confidence", ensemble_result)
self.assertIn(ensemble_result["risk_level"], ["HIGH", "MEDIUM", "LOW", "SAFE"])
if __name__ == "__main__":
unittest.main() |