from __future__ import annotations

import json
from pathlib import Path

import h5py
import numpy as np

from src.t4_structural_dynamics import analytical_first_frequency, load_config
from src.load_t4_structural_dynamics import load_trajectory, trajectory_ids


ROOT = Path(__file__).resolve().parents[1]
DATA = ROOT / "data" / "t4_structural_dynamics_pilot"


def test_t4_analytical_frequency_is_reproducible():
    config = load_config()
    assert np.isclose(analytical_first_frequency(config), 41.126088262057024)
    assert config["software"]["agentfem_commit"].startswith("882de08")


def test_t4_quality_gates_pass():
    quality = json.loads((DATA / "quality.json").read_text(encoding="utf-8"))
    assert quality["passed"] is True
    assert all(quality["gates"].values())
    assert quality["trajectory_count"] == 4
    assert quality["finest_first_frequency_relative_error"] < 0.01
    assert quality["last_modal_mesh_relative_change"] < 0.002
    assert quality["time_refinement_tip_history_relative_l2"] < 0.03
    assert quality["maximum_energy_balance_relative_residual"] < 0.02


def test_t4_pilot_schema_fields_and_sensor_histories_are_finite():
    with h5py.File(DATA / "pilot.h5", "r") as h5:
        assert h5.attrs["schema"] == "agentfem.physics-data.structural-dynamics-pilot"
        assert h5.attrs["schema_version"] == "0.1.0"
        assert int(h5.attrs["trajectory_count"]) == 4
        assert h5["common/reference_geometry_m"].shape == (245, 3)
        assert h5["common/topology"].shape == (48, 9)
        assert h5["common/sensor_coordinates_m"].shape == (5, 2)
        assert set(h5["trajectories"]) == {
            "half_sine_pulse",
            "sub_resonant_sine",
            "near_resonant_sine",
            "chirp",
        }
        for group in h5["trajectories"].values():
            assert group["time_s"].shape == (2001,)
            assert group["sensor_displacement_m"].shape == (2001, 5)
            assert group["fields/time_s"].shape == (201,)
            assert group["fields/displacement_m"].shape == (201, 245, 3)
            assert group["fields/velocity_m_per_s"].shape == (201, 245, 3)
            assert group["fields/acceleration_m_per_s2"].shape == (201, 245, 3)
            assert float(group.attrs["energy_balance_reference_j_per_m"]) > 0.0
            for dataset in (
                "force_scale",
                "sensor_displacement_m",
                "strain_energy_j_per_m",
                "kinetic_energy_j_per_m",
                "external_work_j_per_m",
                "damping_dissipation_j_per_m",
                "energy_balance_relative_residual",
                "fields/displacement_m",
                "fields/velocity_m_per_s",
                "fields/acceleration_m_per_s2",
            ):
                assert np.all(np.isfinite(group[dataset][...]))


def test_t4_lightweight_reader_loads_one_complete_trajectory():
    ids = trajectory_ids()
    assert ids == (
        "chirp",
        "half_sine_pulse",
        "near_resonant_sine",
        "sub_resonant_sine",
    )
    sample = load_trajectory("chirp")
    assert sample["arrays"]["sensor_displacement_m"].shape == (2001, 5)
    assert sample["arrays"]["displacement_m"].shape == (201, 245, 3)