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f2e524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | from src.analyzer import ImageAnalyzer
import json
def test_analyzer():
analyzer = ImageAnalyzer()
# Mock data with focused Generic / Filler cases
site_data = {
"https://example.com/test-generic": [
{"src": "g1.jpg", "alt": "logo"}, # BAD: Exact generic
{"src": "g2.jpg", "alt": "image"}, # BAD: Exact generic
{"src": "g3.jpg", "alt": "company logo"}, # BAD: Short partial generic (< 3 words)
{"src": "g4.jpg", "alt": "header banner"}, # BAD: Short partial generic (< 3 words)
{"src": "g5.jpg", "alt": "Eminent Tactiles Logo"}, # GOOD: Long partial generic (>= 3 words)
{"src": "g6.jpg", "alt": "Product Thumbnail View"}, # GOOD: Long partial generic (>= 3 words)
{"src": "g7.jpg", "alt": "placeholder icon"}, # BAD: Short partial generic
{"src": "g8.jpg", "alt": "unique identifier"}, # BAD: Too few words (caught by logic C, safe check)
{"src": "g9.jpg", "alt": "My Photo"}, # BAD: Short partial generic
]
}
print("Running Generic Term Analyzer Test...")
report = analyzer.analyze_site(site_data)
# Extract just the poor quality logic results for clarity
results = []
for img in report['details'][0]['images_with_poor_alt']:
results.append(f"ALT: '{img['alt']}' -> REASON: {img['reason']}")
for res in results:
print(res)
if __name__ == "__main__":
test_analyzer()
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