80 lines
3.3 KiB
Python
80 lines
3.3 KiB
Python
from __future__ import annotations
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[2]
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def test_detection_lab_exposes_structured_surfaces() -> None:
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lab = (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(
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encoding="utf-8"
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)
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assert 'className="workspace-panel ai-lab-shell detection-lab-shell"' in lab
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assert 'className="ai-lab-model-surface"' in lab
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assert 'aria-label="Detection model capabilities"' in lab
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assert 'className="ai-lab-run-surface"' in lab
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assert 'aria-label="Detection run controls"' in lab
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assert 'className="ai-lab-state-stack"' in lab
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assert 'className="ai-lab-results-surface"' in lab
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assert 'aria-label="Detection results"' in lab
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assert 'className="ai-lab-qa-surface"' in lab
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assert 'aria-label="Kwaliteitscontrole gebouwdetectie"' in lab
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def test_segmentation_lab_exposes_structured_surfaces() -> None:
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lab = (ROOT / "frontend" / "src" / "components" / "segmentation" / "SegmentationLab.tsx").read_text(
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encoding="utf-8"
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)
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assert 'className="workspace-panel ai-lab-shell segmentation-lab-shell"' in lab
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assert 'className="ai-lab-model-surface"' in lab
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assert 'aria-label="Segmentation model capabilities"' in lab
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assert 'className="ai-lab-run-surface"' in lab
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assert 'aria-label="Segmentation run controls"' in lab
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assert 'className="ai-lab-state-stack"' in lab
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assert 'className="ai-lab-results-surface"' in lab
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assert 'aria-label="Segmentation results"' in lab
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assert 'className="ai-lab-qa-surface"' in lab
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assert 'aria-label="Segmentation QA controls and results"' in lab
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def test_ai_lab_preserves_existing_detection_and_segmentation_controls() -> None:
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detection = (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(
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encoding="utf-8"
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)
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segmentation = (ROOT / "frontend" / "src" / "components" / "segmentation" / "SegmentationLab.tsx").read_text(
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encoding="utf-8"
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)
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assert "onRunDetection" in detection
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assert "onLoadResults" in detection
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assert "onRunQa" in detection
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assert "detectionTileManifestPath" in detection
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assert "{detectionItems.length} objecten geladen" in detection
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assert "Vergelijk met referentielaag" in detection
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assert "onRunSegmentation" in segmentation
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assert "onLoadResults" in segmentation
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assert "onRunQa" in segmentation
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assert "selectedSegmentationModelConfigured" in segmentation
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assert "Segmentations loaded: {segmentationItems.length}" in segmentation
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assert "Compare segmentations to reference" in segmentation
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def test_ai_lab_density_css_contracts() -> None:
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css = (ROOT / "frontend" / "src" / "styles" / "app.css").read_text(encoding="utf-8")
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assert ".ai-lab-shell" in css
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assert ".ai-lab-model-surface" in css
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assert ".ai-lab-run-surface" in css
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assert ".ai-lab-results-surface" in css
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assert ".ai-lab-qa-surface" in css
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assert ".ai-lab-state-stack" in css
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assert ".ai-lab-shell .model-list" in css
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assert ".ai-lab-shell .lab-form-grid" in css
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assert ".ai-lab-summary-grid" in css
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assert "grid-template-columns: repeat(auto-fit, minmax(8.5rem, 1fr));" in css
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assert "grid-template-columns: repeat(auto-fit, minmax(7.5rem, 1fr));" in css
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