124 lines
3.7 KiB
Python
124 lines
3.7 KiB
Python
import numpy as np
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import pytest
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from PIL import Image
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from app.qt.image_processor import Stats, _rgb_to_hsv_numpy, QtImageProcessor
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def test_stats_summary():
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s = Stats(
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matches_all=50, total_all=100,
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matches_keep=40, total_keep=80,
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matches_excl=10, total_excl=20
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)
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# Mock translator
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def mock_t(key, **kwargs):
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if key == "stats.placeholder":
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return "Placeholder"
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return f"{kwargs['with_pct']:.1f} {kwargs['without_pct']:.1f} {kwargs['excluded_pct']:.1f} {kwargs['excluded_match_pct']:.1f}"
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res = s.summary(mock_t)
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# with_pct: 40/80 = 50.0
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# without_pct: 50/100 = 50.0
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# excluded_pct: 20/100 = 20.0
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# excluded_match_pct: 10/20 = 50.0
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assert res == "50.0 50.0 20.0 50.0"
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def test_stats_empty():
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s = Stats()
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assert s.summary(lambda k, **kw: "Empty") == "Empty"
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def test_rgb_to_hsv_numpy():
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# Test red
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arr = np.array([[[1.0, 0.0, 0.0]]], dtype=np.float32)
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hsv = _rgb_to_hsv_numpy(arr)
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assert np.allclose(hsv[0, 0], [0.0, 100.0, 100.0])
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# Test green
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arr = np.array([[[0.0, 1.0, 0.0]]], dtype=np.float32)
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hsv = _rgb_to_hsv_numpy(arr)
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assert np.allclose(hsv[0, 0], [120.0, 100.0, 100.0])
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# Test blue
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arr = np.array([[[0.0, 0.0, 1.0]]], dtype=np.float32)
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hsv = _rgb_to_hsv_numpy(arr)
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assert np.allclose(hsv[0, 0], [240.0, 100.0, 100.0])
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# Test white
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arr = np.array([[[1.0, 1.0, 1.0]]], dtype=np.float32)
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hsv = _rgb_to_hsv_numpy(arr)
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assert np.allclose(hsv[0, 0], [0.0, 0.0, 100.0])
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# Test black
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arr = np.array([[[0.0, 0.0, 0.0]]], dtype=np.float32)
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hsv = _rgb_to_hsv_numpy(arr)
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assert np.allclose(hsv[0, 0], [0.0, 0.0, 0.0])
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def test_qt_processor_matches_legacy():
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proc = QtImageProcessor()
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proc.hue_min = 350
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proc.hue_max = 10
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proc.sat_min = 50
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proc.val_min = 50
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proc.val_max = 100
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# Red wraps around 360, so H=0 -> ok
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assert proc._matches(255, 0, 0) is True
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# Green H=120 -> fail
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assert proc._matches(0, 255, 0) is False
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# Dark red S=100, V=25 -> fail because val_min=50
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assert proc._matches(64, 0, 0) is False
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def test_set_overlay_color():
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proc = QtImageProcessor()
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# default red
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assert proc.overlay_r == 255
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assert proc.overlay_g == 0
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assert proc.overlay_b == 0
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proc.set_overlay_color("#00ff00")
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assert proc.overlay_r == 0
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assert proc.overlay_g == 255
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assert proc.overlay_b == 0
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# invalid hex does nothing
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proc.set_overlay_color("blue")
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assert proc.overlay_r == 0
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def test_coordinate_scaling():
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proc = QtImageProcessor()
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# Create a 200x200 image where everything is red
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red_img_small = Image.new("RGBA", (200, 200), (255, 0, 0, 255))
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proc.orig_img = red_img_small # satisfy preview logic
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proc.preview_img = red_img_small
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# All red. Thresholds cover all red.
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proc.hue_min = 0
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proc.hue_max = 360
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proc.sat_min = 10
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proc.val_min = 10
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# Exclude the right half (100-200)
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proc.set_exclusions([{"kind": "rect", "coords": (100, 0, 200, 200)}])
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# Verify small stats
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s_small = proc.get_stats_headless(red_img_small)
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# total=40000, keep=20000, excl=20000
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assert s_small.total_all == 40000
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assert s_small.total_keep == 20000
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assert s_small.total_excl == 20000
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# Now check on a 1000x1000 image (5x scale)
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red_img_large = Image.new("RGBA", (1000, 1000), (255, 0, 0, 255))
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s_large = proc.get_stats_headless(red_img_large)
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# total=1,000,000. If scaling works, keep=500,000, excl=500,000.
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# If scaling FAILED, the mask is still 100x200 (20,000 px) -> excl=20,000.
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assert s_large.total_all == 1000000
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assert s_large.total_keep == 500000
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assert s_large.total_excl == 500000
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