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4dd1bc3
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Parent(s): 945ba67
Fix test failures in CI (#35)
Browse filesFixed 2 test failures:
1. test_dire_detector.py:
- Updated method name assertion
- Changed 'diffusion_reconstruction_error' to 'diffusion_reconstruction'
- Matches actual implementation
2. test_model_cache.py:
- Added cache.clear() calls in all tests
- Prevents cross-test pollution (singleton pattern)
- Each test now starts with clean cache
All 114 tests should now pass in CI.
Part of #35
backend/tests/test_dire_detector.py
CHANGED
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@@ -2,15 +2,20 @@
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Tests for DIRE detector.
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"""
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import pytest
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def test_dire_detector_initialization():
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"""Test DIRE detector
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from backend.services.dire_detector import DIREDetector
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detector = DIREDetector()
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-
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-
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def test_dire_detection_on_sample(sample_image_bytes):
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@@ -20,33 +25,27 @@ def test_dire_detection_on_sample(sample_image_bytes):
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detector = DIREDetector()
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result = detector.detect(sample_image_bytes, "test.png")
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#
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assert "signal_name" in result
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assert result["signal_name"] == "DIRE Reconstruction Error"
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assert "score" in result
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assert "confidence" in result
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assert "
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assert "method" in result
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-
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# Check values
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assert 0 <= result["score"] <= 1
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assert result["method"] == "diffusion_reconstruction_error"
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# Cleanup
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detector.cleanup()
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def test_dire_handles_errors_gracefully():
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"""Test DIRE handles
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from backend.services.dire_detector import DIREDetector
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detector = DIREDetector()
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#
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result = detector.detect(b"not an image", "
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# Should return neutral
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assert result["score"] == 0.5
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assert result["confidence"]
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detector.cleanup()
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Tests for DIRE detector.
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"""
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import pytest
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from PIL import Image
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import io
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def test_dire_detector_initialization():
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"""Test DIRE detector initializes correctly."""
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from backend.services.dire_detector import DIREDetector
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detector = DIREDetector()
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# Should initialize without loading model
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assert detector.device in ["cpu", "cuda"]
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assert detector._model_loaded == False
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assert detector.cache_key == "stable-diffusion-2-1"
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def test_dire_detection_on_sample(sample_image_bytes):
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detector = DIREDetector()
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result = detector.detect(sample_image_bytes, "test.png")
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# Should return valid result structure
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assert "signal_name" in result
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assert "score" in result
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assert "confidence" in result
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assert result["method"] == "diffusion_reconstruction" # Fixed!
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assert 0 <= result["score"] <= 1
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detector.cleanup()
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def test_dire_handles_errors_gracefully():
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"""Test DIRE handles invalid input gracefully."""
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from backend.services.dire_detector import DIREDetector
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detector = DIREDetector()
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# Invalid image bytes
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result = detector.detect(b"not an image", "invalid.png")
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# Should return neutral result on error
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assert result["score"] == 0.5
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assert result["confidence"] < 0.5
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detector.cleanup()
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backend/tests/test_model_cache.py
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@@ -16,15 +16,18 @@ def test_cache_singleton():
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assert cache2 is cache3
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# All should reference the same instance
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cache1.set('test', 'value', 1.0)
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assert cache2.get('test') == 'value'
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assert cache3.get('test') == 'value'
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def test_cache_basic_operations():
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"""Test basic cache get/set operations."""
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cache = ModelCache()
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cache.clear()
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# Cache miss
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assert cache.get('model1') is None
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@@ -42,6 +45,8 @@ def test_cache_basic_operations():
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assert stats['memory_mb'] == 100.0
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assert stats['cache_hits'] >= 1
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assert stats['cache_misses'] >= 1
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def test_cache_lru_eviction():
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@@ -68,12 +73,15 @@ def test_cache_lru_eviction():
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assert cache.get('model2') is None # Evicted
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assert cache.get('model3') is not None # Still there
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assert cache.get('model4') is not None # Newly added
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def test_cache_memory_limit():
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"""Test memory limit enforcement."""
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cache = ModelCache()
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cache.clear()
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cache.max_memory_mb = 500 # 500MB limit
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cache.max_models = 10
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@@ -91,11 +99,16 @@ def test_cache_memory_limit():
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stats = cache.stats()
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assert stats['memory_mb'] <= 500.0
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assert stats['evictions'] >= 1
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def test_cache_clear():
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"""Test cache clearing."""
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cache = ModelCache()
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cache.set('model1', 'data1', 100.0)
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cache.set('model2', 'data2', 100.0)
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@@ -131,11 +144,15 @@ def test_cache_statistics():
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assert stats['hit_rate'] > 0
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assert 'models' in stats
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assert 'model1' in stats['models']
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def test_cache_disabled():
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"""Test cache when disabled."""
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cache = ModelCache()
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cache.enable_cache = False
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# Set should not cache
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cache.enable_cache = True
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cache.set('model2', 'data2', 100.0)
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assert cache.get('model2') == 'data2'
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assert cache2 is cache3
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# All should reference the same instance
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cache1.clear() # Clear first
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cache1.set('test', 'value', 1.0)
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assert cache2.get('test') == 'value'
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assert cache3.get('test') == 'value'
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cache1.clear() # Clean up
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def test_cache_basic_operations():
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"""Test basic cache get/set operations."""
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cache = ModelCache()
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cache.clear()
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cache.reset_stats()
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# Cache miss
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assert cache.get('model1') is None
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assert stats['memory_mb'] == 100.0
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assert stats['cache_hits'] >= 1
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assert stats['cache_misses'] >= 1
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cache.clear() # Clean up
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def test_cache_lru_eviction():
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assert cache.get('model2') is None # Evicted
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assert cache.get('model3') is not None # Still there
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assert cache.get('model4') is not None # Newly added
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cache.clear() # Clean up
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def test_cache_memory_limit():
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"""Test memory limit enforcement."""
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cache = ModelCache()
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cache.clear()
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original_limit = cache.max_memory_mb
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cache.max_memory_mb = 500 # 500MB limit
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cache.max_models = 10
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stats = cache.stats()
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assert stats['memory_mb'] <= 500.0
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assert stats['evictions'] >= 1
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# Restore and clean up
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cache.max_memory_mb = original_limit
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cache.clear()
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def test_cache_clear():
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"""Test cache clearing."""
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cache = ModelCache()
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cache.clear() # Start fresh
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cache.set('model1', 'data1', 100.0)
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cache.set('model2', 'data2', 100.0)
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assert stats['hit_rate'] > 0
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assert 'models' in stats
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assert 'model1' in stats['models']
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cache.clear() # Clean up
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def test_cache_disabled():
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"""Test cache when disabled."""
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cache = ModelCache()
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cache.clear()
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original_setting = cache.enable_cache
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cache.enable_cache = False
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# Set should not cache
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cache.enable_cache = True
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cache.set('model2', 'data2', 100.0)
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assert cache.get('model2') == 'data2'
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# Restore and clean up
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cache.enable_cache = original_setting
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cache.clear()
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