low pri features

tests/node_tests/feature_detection.py

@@ -0,0 +1,50 @@
+import numpy as np
+import pytest
+from tests.node_tests._shared import make_field
+
+
+def test_canny_edge_detection():
+    from backend.nodes.feature_detection import FeatureDetection
+
+    node = FeatureDetection()
+    # Create a field with a sharp edge
+    data = np.zeros((64, 64))
+    data[:, 32:] = 1.0
+    field = make_field(data=data)
+    result, records = node.process(field, "canny", 1.0)
+    assert result.data.shape == (64, 64)
+    # Should detect some edge pixels
+    assert result.data.sum() > 0
+    assert isinstance(records, list)
+
+
+def test_harris_corner_detection():
+    from backend.nodes.feature_detection import FeatureDetection
+
+    node = FeatureDetection()
+    # Create a field with a sharp corner (L-shape)
+    data = np.zeros((64, 64))
+    data[16:48, 16:48] = 1.0
+    field = make_field(data=data)
+    result, records = node.process(field, "harris", 1.0)
+    assert result.data.shape == (64, 64)
+    assert isinstance(records, list)
+
+
+def test_canny_flat_field():
+    from backend.nodes.feature_detection import FeatureDetection
+
+    node = FeatureDetection()
+    field = make_field(data=np.ones((32, 32)))
+    result, records = node.process(field, "canny", 1.0)
+    # Flat field should have no edges
+    assert result.data.sum() == 0
+
+
+def test_unknown_method():
+    from backend.nodes.feature_detection import FeatureDetection
+
+    node = FeatureDetection()
+    field = make_field(shape=(32, 32))
+    with pytest.raises(ValueError):
+        node.process(field, "unknown", 1.0)