from datetime import UTC, datetime

import pytest
from pydantic import ValidationError

from lmpm.domain.experiment import ExperimentRecord, ProcessingParams, QualityMetrics
from lmpm.domain.material import MaterialProperty


def material_property():
    return MaterialProperty(
        material_id="acrylic-001",
        name="Clear Acrylic",
        category="polymer",
        reflectivity=0.08,
        absorptivity=0.92,
        melting_point_c=160.0,
        thermal_conductivity_w_m_k=0.19,
        density_g_cm3=1.18,
        roughness_um=1.2,
    )


def test_material_property_accepts_valid_values():
    material = material_property()

    assert material.material_id == "acrylic-001"
    assert material.absorptivity == pytest.approx(0.92)


@pytest.mark.parametrize(
    ("field", "value"),
    [("reflectivity", -0.1), ("absorptivity", 1.1), ("density_g_cm3", 0)],
)
def test_material_property_rejects_out_of_range_values(field, value):
    data = material_property().model_dump()
    data[field] = value

    with pytest.raises(ValidationError):
        MaterialProperty.model_validate(data)


def test_experiment_record_round_trips_nested_models():
    experiment = ExperimentRecord(
        experiment_id=1,
        material_id="acrylic-001",
        params=ProcessingParams(
            power_percent=45,
            scan_speed_mm_s=80,
            pulse_frequency_hz=20,
        ),
        metrics=QualityMetrics(kerf_width_mm=0.18),
        recorded_at=datetime.now(UTC),
    )

    dumped = experiment.model_dump()
    restored = ExperimentRecord.model_validate(dumped)

    assert restored == experiment