alexei.dolgolyov
fc779eef39
Reorganize the flat core/ directory (17 files) into three sub-packages: - core/devices/ — LED device communication (led_client, wled/adalight clients, providers, DDP) - core/processing/ — target processing pipeline (processor_manager, target processors, live streams, settings) - core/capture/ — screen capture & calibration (screen_capture, calibration, pixel_processor, overlay) Also split the monolithic filters/builtin.py (460 lines, 8 filters) into individual files: brightness, saturation, gamma, downscaler, pixelate, auto_crop, flip, color_correction. Includes the ProcessorManager refactor from target-centric architecture: ProcessorManager slimmed from ~1600 to ~490 lines with unified _processors dict replacing duplicate _targets/_kc_targets dicts. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
224 lines
6.7 KiB
Python
224 lines
6.7 KiB
Python
"""Tests for screen capture functionality."""
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import numpy as np
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import pytest
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from wled_controller.core.capture.screen_capture import (
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get_available_displays,
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capture_display,
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extract_border_pixels,
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get_edge_segments,
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calculate_average_color,
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calculate_median_color,
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calculate_dominant_color,
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ScreenCapture,
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)
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def test_get_available_displays():
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"""Test getting available displays."""
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displays = get_available_displays()
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assert isinstance(displays, list)
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assert len(displays) >= 1 # At least one display should be available
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# Check first display structure
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display = displays[0]
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assert hasattr(display, "index")
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assert hasattr(display, "name")
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assert hasattr(display, "width")
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assert hasattr(display, "height")
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assert display.width > 0
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assert display.height > 0
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def test_capture_display():
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"""Test capturing a display."""
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# Capture the first display
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capture = capture_display(0)
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assert isinstance(capture, ScreenCapture)
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assert capture.image is not None
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assert capture.width > 0
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assert capture.height > 0
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assert capture.display_index == 0
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assert isinstance(capture.image, np.ndarray)
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assert capture.image.shape == (capture.height, capture.width, 3)
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def test_capture_display_invalid_index():
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"""Test capturing with invalid display index."""
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with pytest.raises(ValueError):
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capture_display(999) # Invalid display index
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def test_extract_border_pixels():
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"""Test extracting border pixels."""
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# Create a test screen capture
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test_image = np.random.randint(0, 256, (100, 200, 3), dtype=np.uint8)
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capture = ScreenCapture(
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image=test_image,
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width=200,
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height=100,
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display_index=0
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)
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border_width = 10
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borders = extract_border_pixels(capture, border_width)
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# Check border shapes
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assert borders.top.shape == (border_width, 200, 3)
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assert borders.bottom.shape == (border_width, 200, 3)
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assert borders.left.shape == (100, border_width, 3)
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assert borders.right.shape == (100, border_width, 3)
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def test_extract_border_pixels_invalid_width():
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"""Test extracting borders with invalid width."""
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test_image = np.random.randint(0, 256, (100, 200, 3), dtype=np.uint8)
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capture = ScreenCapture(
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image=test_image,
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width=200,
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height=100,
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display_index=0
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)
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# Border width too small
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with pytest.raises(ValueError):
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extract_border_pixels(capture, 0)
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# Border width too large
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with pytest.raises(ValueError):
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extract_border_pixels(capture, 50)
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def test_get_edge_segments():
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"""Test dividing edge into segments."""
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# Create test edge pixels (horizontal edge)
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edge_pixels = np.random.randint(0, 256, (10, 100, 3), dtype=np.uint8)
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segments = get_edge_segments(edge_pixels, 10, "top")
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assert len(segments) == 10
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# Each segment should have width of approximately 10
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for segment in segments:
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assert segment.shape[0] == 10 # Height stays same
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assert 8 <= segment.shape[1] <= 12 # Width varies slightly
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assert segment.shape[2] == 3 # RGB
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def test_get_edge_segments_vertical():
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"""Test dividing vertical edge into segments."""
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# Create test edge pixels (vertical edge)
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edge_pixels = np.random.randint(0, 256, (100, 10, 3), dtype=np.uint8)
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segments = get_edge_segments(edge_pixels, 10, "left")
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assert len(segments) == 10
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# Each segment should have height of approximately 10
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for segment in segments:
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assert 8 <= segment.shape[0] <= 12 # Height varies slightly
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assert segment.shape[1] == 10 # Width stays same
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assert segment.shape[2] == 3 # RGB
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def test_get_edge_segments_invalid():
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"""Test edge segments with invalid parameters."""
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edge_pixels = np.random.randint(0, 256, (10, 100, 3), dtype=np.uint8)
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with pytest.raises(ValueError):
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get_edge_segments(edge_pixels, 0, "top")
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with pytest.raises(ValueError):
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get_edge_segments(edge_pixels, 200, "top") # More segments than pixels
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def test_calculate_average_color():
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"""Test calculating average color."""
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# Create uniform color region
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pixels = np.full((10, 10, 3), [100, 150, 200], dtype=np.uint8)
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color = calculate_average_color(pixels)
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assert color == (100, 150, 200)
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def test_calculate_average_color_mixed():
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"""Test average color with mixed colors."""
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# Create region with two colors
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pixels = np.zeros((10, 10, 3), dtype=np.uint8)
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pixels[:5, :, :] = [255, 0, 0] # Top half red
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pixels[5:, :, :] = [0, 0, 255] # Bottom half blue
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color = calculate_average_color(pixels)
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# Should be roughly purple (average of red and blue)
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assert 120 <= color[0] <= 135 # R
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assert 0 <= color[1] <= 10 # G
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assert 120 <= color[2] <= 135 # B
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def test_calculate_median_color():
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"""Test calculating median color."""
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# Create region with outliers
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pixels = np.full((10, 10, 3), [100, 100, 100], dtype=np.uint8)
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pixels[0, 0, :] = [255, 255, 255] # One bright outlier
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color = calculate_median_color(pixels)
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# Median should be close to 100, not affected by outlier
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assert 95 <= color[0] <= 105
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assert 95 <= color[1] <= 105
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assert 95 <= color[2] <= 105
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def test_calculate_dominant_color():
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"""Test calculating dominant color."""
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# Create region with mostly one color
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pixels = np.full((20, 20, 3), [100, 150, 200], dtype=np.uint8)
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# Add some noise
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pixels[:2, :2, :] = [50, 75, 100]
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color = calculate_dominant_color(pixels)
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# Dominant color should be close to the main color
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assert 90 <= color[0] <= 110
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assert 140 <= color[1] <= 160
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assert 190 <= color[2] <= 210
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def test_calculate_color_empty_pixels():
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"""Test color calculation with empty pixel array."""
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empty_pixels = np.array([]).reshape(0, 0, 3)
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assert calculate_average_color(empty_pixels) == (0, 0, 0)
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assert calculate_median_color(empty_pixels) == (0, 0, 0)
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assert calculate_dominant_color(empty_pixels) == (0, 0, 0)
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def test_end_to_end_screen_capture():
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"""Test complete screen capture workflow."""
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# Get available displays
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displays = get_available_displays()
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assert len(displays) > 0
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# Capture first display
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capture = capture_display(0)
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assert capture is not None
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# Extract borders
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borders = extract_border_pixels(capture, 10)
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assert borders.top is not None
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assert borders.bottom is not None
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assert borders.left is not None
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assert borders.right is not None
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# Get segments for top edge
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top_segments = get_edge_segments(borders.top, 10, "top")
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assert len(top_segments) == 10
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# Calculate color for first segment
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color = calculate_average_color(top_segments[0])
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assert len(color) == 3
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assert all(0 <= c <= 255 for c in color)
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