from __future__ import annotations

from pathlib import Path
from tests.frontend_contract import read_feature


ROOT = Path(__file__).resolve().parents[2]


def test_detection_lab_exposes_structured_surfaces() -> None:
    lab = "\n".join(
        (
            (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionLab.tsx").read_text(encoding="utf-8"),
            (ROOT / "frontend" / "src" / "components" / "detection" / "DetectionModelManagement.tsx").read_text(encoding="utf-8"),
        )
    )

    assert 'className="workspace-panel ai-lab-shell detection-lab-shell"' in lab
    assert 'className="ai-lab-model-surface"' in lab
    assert 'aria-label="Technische modelmogelijkheden"' in lab
    assert 'className="ai-lab-run-surface"' in lab
    assert 'aria-label="Gebouwdetectie starten"' in lab
    assert 'className="ai-lab-state-stack"' in lab
    assert 'className="ai-lab-results-surface"' in lab
    assert 'aria-label="Resultaten van de beeldanalyse"' in lab
    assert 'className="ai-lab-qa-surface"' in lab
    assert 'aria-label="Kwaliteitscontrole gebouwdetectie"' in lab


def test_segmentation_lab_exposes_structured_surfaces() -> None:
    lab = read_feature("segmentation")

    assert 'className="workspace-panel ai-lab-shell segmentation-lab-shell"' in lab
    assert 'className="ai-lab-model-surface"' in lab
    assert 'aria-label="Technische informatie over segmentatiemodellen"' in lab
    assert 'className="ai-lab-run-surface"' in lab
    assert 'aria-label="Segmentatie starten"' in lab
    assert 'className="ai-lab-state-stack"' in lab
    assert 'className="ai-lab-results-surface"' in lab
    assert 'aria-label="Segmentatieresultaten"' in lab
    assert 'className="ai-lab-qa-surface"' in lab
    assert 'aria-label="Kwaliteitscontrole voor segmentatie"' in lab


def test_ai_lab_preserves_existing_detection_and_segmentation_controls() -> None:
    detection = read_feature("detection")
    segmentation = read_feature("segmentation")

    assert "onRunDetection" in detection
    assert "onLoadResults" in detection
    assert "onRunQa" in detection
    assert "detectionTileManifestPath" in detection
    assert "{detectionItems.length} objecten geladen" in detection
    assert "Vergelijk met referentielaag" in detection

    assert "onRunSegmentation" in segmentation
    assert "onLoadResults" in segmentation
    assert "onRunQa" in segmentation
    assert "selectedSegmentationModelConfigured" in segmentation
    assert "segmentationItems.length" in segmentation
    assert "vlakken geladen" in segmentation
    assert "Vergelijk met referentielaag" in segmentation


def test_ai_lab_density_css_contracts() -> None:
    css = (ROOT / "frontend" / "src" / "styles" / "app.css").read_text(encoding="utf-8")

    assert ".ai-lab-shell" in css
    assert ".ai-lab-model-surface" in css
    assert ".ai-lab-run-surface" in css
    assert ".ai-lab-results-surface" in css
    assert ".ai-lab-qa-surface" in css
    assert ".ai-lab-state-stack" in css
    assert ".ai-lab-shell .model-list" in css
    assert ".ai-lab-shell .lab-form-grid" in css
    assert ".ai-lab-summary-grid" in css
    assert "grid-template-columns: repeat(auto-fit, minmax(8.5rem, 1fr));" in css
    assert "grid-template-columns: repeat(auto-fit, minmax(7.5rem, 1fr));" in css