feat(canvas): Add 'Run Baseline' FEA simulation feature to IntrospectionPanel

Backend:
- Add POST /api/optimization/studies/{study_id}/nx/run-baseline endpoint
- Creates trial_baseline folder in 2_iterations/
- Copies all model files and runs NXSolver
- Returns paths to result files (.op2, .f06, .bdf) for extractor testing

Frontend:
- Add 'Run Baseline Simulation' button to IntrospectionPanel
- Show progress spinner during simulation
- Display result files when complete (OP2, F06, BDF)
- Show error messages if simulation fails

This enables:
- Testing custom extractors against real FEA results
- Validating the simulation pipeline before optimization
- Inspecting boundary conditions and loads
This commit is contained in:
2026-01-20 14:50:50 -05:00
parent 91cf9ca1fd
commit 89694088a2
2 changed files with 280 additions and 0 deletions

View File

@@ -4577,6 +4577,153 @@ async def introspect_nx_model(study_id: str, force: bool = False):
raise HTTPException(status_code=500, detail=f"Failed to introspect: {str(e)}")
@router.post("/studies/{study_id}/nx/run-baseline")
async def run_baseline_simulation(study_id: str):
"""
Run a baseline FEA simulation with current/default parameter values.
This creates a 'baseline' trial folder in 2_iterations/ with:
- All NX model files copied
- Simulation run with baseline parameters
- Result files (.op2, .f06, .bdf) for extractor testing
Use this to:
1. Verify the FEA pipeline works before optimization
2. Get result files for testing custom extractors
3. Validate boundary conditions and loads are correct
Args:
study_id: Study identifier
Returns:
JSON with baseline run status and paths to result files
"""
try:
study_dir = resolve_study_path(study_id)
print(f"[run-baseline] study_id={study_id}, study_dir={study_dir}")
if not study_dir.exists():
raise HTTPException(status_code=404, detail=f"Study {study_id} not found")
# Find model directory
model_dir = None
for possible_dir in [
study_dir / "1_setup" / "model",
study_dir / "1_model",
study_dir / "0_model",
study_dir / "model",
study_dir / "1_setup",
]:
if possible_dir.exists() and list(possible_dir.glob("*.sim")):
model_dir = possible_dir
break
if model_dir is None:
raise HTTPException(
status_code=404, detail=f"No model directory with .sim file found for {study_id}"
)
# Find .sim file
sim_files = list(model_dir.glob("*.sim"))
if not sim_files:
raise HTTPException(status_code=404, detail=f"No .sim file found in {model_dir}")
sim_file = sim_files[0]
print(f"[run-baseline] sim_file={sim_file}")
# Create baseline trial folder
iterations_dir = study_dir / "2_iterations"
iterations_dir.mkdir(exist_ok=True)
baseline_dir = iterations_dir / "trial_baseline"
# Clean up existing baseline if present
if baseline_dir.exists():
import shutil
shutil.rmtree(baseline_dir)
baseline_dir.mkdir()
# Copy all model files to baseline folder
import shutil
model_extensions = [".prt", ".fem", ".afm", ".sim", ".exp"]
copied_files = []
for ext in model_extensions:
for src_file in model_dir.glob(f"*{ext}"):
dst_file = baseline_dir / src_file.name
shutil.copy2(src_file, dst_file)
copied_files.append(src_file.name)
print(f"[run-baseline] Copied {len(copied_files)} files to baseline folder")
# Find the copied sim file in baseline dir
baseline_sim = baseline_dir / sim_file.name
# Try to run the solver
try:
from optimization_engine.nx.solver import NXSolver
solver = NXSolver(
nastran_version="2512",
timeout=600,
use_journal=True,
enable_session_management=True,
study_name=study_id,
)
print(f"[run-baseline] Starting solver...")
result = solver.run_simulation(
sim_file=baseline_sim,
working_dir=baseline_dir,
cleanup=False, # Keep all files for inspection
expression_updates=None, # Use baseline values
)
# Find result files
op2_files = list(baseline_dir.glob("*.op2"))
f06_files = list(baseline_dir.glob("*.f06"))
bdf_files = list(baseline_dir.glob("*.bdf")) + list(baseline_dir.glob("*.dat"))
return {
"success": result.get("success", False),
"study_id": study_id,
"baseline_dir": str(baseline_dir),
"sim_file": str(baseline_sim),
"elapsed_time": result.get("elapsed_time"),
"result_files": {
"op2": [f.name for f in op2_files],
"f06": [f.name for f in f06_files],
"bdf": [f.name for f in bdf_files],
},
"errors": result.get("errors", []),
"message": "Baseline simulation complete"
if result.get("success")
else "Simulation failed",
}
except ImportError as e:
return {
"success": False,
"study_id": study_id,
"baseline_dir": str(baseline_dir),
"error": f"NXSolver not available: {str(e)}",
"message": "Model files copied but solver not available. Run manually in NX.",
}
except Exception as e:
return {
"success": False,
"study_id": study_id,
"baseline_dir": str(baseline_dir),
"error": str(e),
"message": f"Solver execution failed: {str(e)}",
}
except HTTPException:
raise
except Exception as e:
raise HTTPException(status_code=500, detail=f"Failed to run baseline: {str(e)}")
@router.get("/studies/{study_id}/nx/expressions")
async def get_nx_expressions(study_id: str):
"""