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 "${segmentationTotal} 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