| """Plot recorded measurements; never infer a benchmark score from the replay.""" |
| import argparse |
| import json |
| from pathlib import Path |
|
|
| import matplotlib |
| matplotlib.use('Agg') |
| import matplotlib.pyplot as plt |
| import numpy as np |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser() |
| parser.add_argument('result', type=Path) |
| args = parser.parse_args() |
| root = args.result |
| report = json.loads((root / 'report.json').read_text(encoding='utf-8')) |
| rows = json.loads((root / 'trajectory.json').read_text(encoding='utf-8')) |
| t = np.array([r['time'] for r in rows]) |
| displacement = np.array([r['tray_m'][1] for r in rows]) - report['config']['initial_y'] |
| radius = report['config']['cup_radius'] |
| area = .5 * 32 * radius**2 * np.sin(2*np.pi/32) |
| expected = np.array(report['total_liquid_mass_kg']) / report['config']['liquid_density'] / area |
| heights = np.array([[c['height_q99_m'] for c in r['cups']] for r in rows]) |
| force = -np.array([r['fluid_force_z_N'] for r in rows]) |
| center_rows = json.loads((root / 'replay_center_trajectory.json').read_text(encoding='utf-8')) |
| center_t = np.array([r['time'] for r in center_rows]) |
| center_ratios = np.array([[c['center_height_ratio'] for c in r['cups']] for r in center_rows]) |
| fig, axes = plt.subplots(4, 1, figsize=(9, 9), sharex=True, layout='constrained') |
| colors = ('#187984', '#C47A23') |
| axes[0].plot(t, displacement * 100, color='#33465D') |
| axes[0].axhline(50, color='#708090', linestyle=':', label='Target') |
| axes[0].set_ylabel('Tray travel (cm)') |
| axes[0].legend(loc='lower right') |
| for k, color in enumerate(colors): |
| axes[1].plot(t, heights[:, k] / expected[k], color=color, label=f'Cup {k+1}') |
| axes[2].plot(center_t, center_ratios[:, k], color=color, label=f'Cup {k+1}') |
| |
| |
| axes[3].plot(t[1:], force[1:, k], color=color, label=f'Cup {k+1}') |
| axes[1].axhline(1, color='#708090', linestyle=':') |
| axes[1].set_ylabel('q99 height / M/(rho*A)') |
| axes[1].legend(loc='upper right') |
| axes[2].axhline(1, color='#708090', linestyle=':') |
| axes[2].set_ylabel('COM height / (M/(rho*A)/2)') |
| axes[3].axhline(report['total_liquid_mass_kg'][0]*9.81, color='#708090', linestyle=':', label='Static weight') |
| axes[3].set_ylabel('Downward liquid load (N)') |
| axes[3].set_xlabel('Simulation time (s)') |
| axes[3].legend(loc='lower right') |
| for ax in axes: |
| for boundary in (3, 4.5, 6, 9): |
| ax.axvline(boundary, color='#AAAAAA', linewidth=.6, alpha=.6) |
| ax.grid(axis='y', color='#D7DCE2', linewidth=.5) |
| ax.spines[['top', 'right']].set_visible(False) |
| axes[0].set_title('Recorded Newton transport: two free cups, 216.3 g liquid each\nDiagnostic case; no benchmark score') |
| fig.savefig(root / 'transport_diagnostics.png', dpi=180) |
| fig.savefig(root / 'transport_diagnostics.pdf') |
| plt.close(fig) |
|
|
|
|
| if __name__ == '__main__': |
| main() |
|
|
