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# tests/test_recommender.py
import sys
import os
# Add src to Python path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../src')))
from imgshape.recommender import recommend_preprocessing
def test_recommend():
"""Test recommend_preprocessing with fallback to a safe image path."""
test_image_path = "assets/sample_images/Image_created_with_a_mobile_phone.png"
# If local asset missing, use a known small generated image
if not os.path.exists(test_image_path):
from PIL import Image
os.makedirs(os.path.dirname(test_image_path), exist_ok=True)
img = Image.new("RGB", (300, 300), color=(255, 0, 0))
img.save(test_image_path)
result = recommend_preprocessing(test_image_path)
assert isinstance(result, dict), "Output should be a dictionary"
assert "resize" in result, "Missing 'resize' key"
assert "normalize" in result, "Missing 'normalize' key"
assert "entropy" in result, "Missing 'entropy' key"
print(f"✅ Recommender Test Passed: {result}")
if __name__ == "__main__":
test_recommend()
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