File size: 3,065 Bytes
d513eb2 | 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 | """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}')
# Lagged impulses produce a zero at initialization. Do not smooth or
# conceal this; omit only the first undefined feedback point.
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()
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