Files
Atomizer/optimization_engine/extractors/extract_mass_from_expression.py
Anto01 2b3573ec42 feat: Add AtomizerField training data export and intelligent model discovery
Major additions:
- Training data export system for AtomizerField neural network training
- Bracket stiffness optimization study with 50+ training samples
- Intelligent NX model discovery (auto-detect solutions, expressions, mesh)
- Result extractors module for displacement, stress, frequency, mass
- User-generated NX journals for advanced workflows
- Archive structure for legacy scripts and test outputs
- Protocol documentation and dashboard launcher

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-26 12:01:50 -05:00

72 lines
2.2 KiB
Python

"""
Extract mass from NX measure expression
This extractor reads mass from a temp file written by solve_simulation.py journal.
The journal extracts the mass from expression p173 and writes it to _temp_mass.txt
"""
from pathlib import Path
from typing import Dict, Any
import sys
def extract_mass_from_expression(prt_file: Path, expression_name: str = "p173") -> float:
"""
Extract mass from NX expression by reading temp file.
The solve_simulation.py journal extracts the p173 expression value
and writes it to _temp_mass.txt in the model directory.
Args:
prt_file: Path to .prt file with mass expression
expression_name: Name of the expression containing mass (default: "p173")
Returns:
Mass in kilograms
"""
prt_file = Path(prt_file)
if not prt_file.exists():
raise FileNotFoundError(f"Part file not found: {prt_file}")
# The mass is written to _temp_mass.txt in the same directory as the .prt
model_dir = prt_file.parent
mass_file = model_dir / "_temp_mass.txt"
if not mass_file.exists():
raise FileNotFoundError(
f"Mass temp file not found: {mass_file}\n"
f"The solve_simulation.py journal should have created this file."
)
# Read mass from file
try:
with open(mass_file, 'r') as f:
mass_kg = float(f.read().strip())
print(f"[OK] Mass from {expression_name}: {mass_kg:.6f} kg ({mass_kg * 1000:.2f} g)")
return mass_kg
except ValueError as e:
raise ValueError(f"Could not parse mass from {mass_file}: {e}")
except Exception as e:
raise RuntimeError(f"Failed to read mass file: {e}")
if __name__ == "__main__":
if len(sys.argv) > 1:
prt_file = Path(sys.argv[1])
expression_name = sys.argv[2] if len(sys.argv) > 2 else "p173"
else:
print(f"Usage: python {sys.argv[0]} <prt_file> [expression_name]")
sys.exit(1)
try:
mass_kg = extract_mass_from_expression(prt_file, expression_name)
print(f"\nMass: {mass_kg:.6f} kg ({mass_kg * 1000:.2f} g)")
except Exception as e:
print(f"\nERROR: {e}")
import traceback
traceback.print_exc()
sys.exit(1)