File size: 3,240 Bytes
b64b64f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | 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)
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