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Atomizer/hq/workspaces/nx-expert/INTROSPECTION_API_GUIDE.md
Antoine 3289a76e19 feat: add Atomizer HQ multi-agent cluster infrastructure 
- 8-agent OpenClaw cluster (Manager, Tech-Lead, Secretary, Auditor,
  Optimizer, Study-Builder, NX-Expert, Webster)
- Orchestration engine: orchestrate.py (sync delegation + handoffs)
- Workflow engine: YAML-defined multi-step pipelines
- Agent workspaces: SOUL.md, AGENTS.md, MEMORY.md per agent
- Shared skills: delegate, orchestrate, atomizer-protocols
- Capability registry (AGENTS_REGISTRY.json)
- Cluster management: cluster.sh, systemd template
- All secrets replaced with env var references
2026-02-15 21:18:18 +00:00

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# NXOpen API Guide — Model Introspection Patterns
**Author:** NX Expert 🖥️
**Date:** 2026-02-14
**Purpose:** Technical reference for extracting introspection data using NXOpen Python API
---
## Quick Reference
This guide provides **copy-paste ready** code patterns for each introspection layer. All patterns are NXOpen 2512 compatible.
---
## 1. Geometric Parameters — Part-Level Extraction
### 1.1 Expression Iteration & Filtering
```python
import NXOpen
def extract_expressions(part):
"""Extract all user-defined expressions with metadata."""
expressions = {
'user': [],
'internal': [],
'total_count': 0
}
for expr in part.Expressions:
# Extract basic data
expr_data = {
'name': expr.Name,
'value': expr.Value,
'formula': expr.RightHandSide if hasattr(expr, 'RightHandSide') else None,
'units': expr.Units.Name if expr.Units else None,
'type': str(expr.Type) if hasattr(expr, 'Type') else 'Unknown',
}
# Determine if internal (p0, p1, p123, etc.)
name = expr.Name
is_internal = False
if name.startswith('p') and len(name) > 1:
rest = name[1:].replace('.', '').replace('_', '')
if rest.isdigit():
is_internal = True
if is_internal:
expressions['internal'].append(expr_data)
else:
expressions['user'].append(expr_data)
expressions['total_count'] = len(expressions['user']) + len(expressions['internal'])
return expressions
```
### 1.2 Expression Dependency Parsing
```python
import re
def parse_expression_dependencies(expr_formula, all_expression_names):
"""Parse RHS formula to find referenced expressions."""
if not expr_formula:
return []
dependencies = []
# Find all potential expression names in formula
# Pattern: word characters followed by optional parentheses/operators
tokens = re.findall(r'\b([a-zA-Z_][a-zA-Z0-9_]*)\b', expr_formula)
for token in tokens:
# Check if this token is an expression name
if token in all_expression_names:
dependencies.append(token)
return list(set(dependencies)) # Remove duplicates
def build_expression_graph(part):
"""Build dependency graph for all expressions."""
# Get all expression names first
all_names = [expr.Name for expr in part.Expressions]
graph = {
'nodes': [],
'edges': []
}
for expr in part.Expressions:
# Add node
graph['nodes'].append({
'name': expr.Name,
'value': expr.Value,
'is_user_defined': not expr.Name.startswith('p')
})
# Parse dependencies
formula = expr.RightHandSide if hasattr(expr, 'RightHandSide') else None
deps = parse_expression_dependencies(formula, all_names)
# Add edges
for dep in deps:
graph['edges'].append({
'from': dep,
'to': expr.Name,
'relationship': 'drives'
})
return graph
```
### 1.3 Feature Extraction with Parameters
```python
def extract_features(part):
"""Extract feature list with type and parameter info."""
features = {
'total_count': 0,
'by_type': {},
'details': []
}
for feature in part.Features:
feat_type = str(type(feature).__name__)
feat_name = feature.Name if hasattr(feature, 'Name') else f'{feat_type}_unknown'
feat_data = {
'name': feat_name,
'type': feat_type,
'suppressed': feature.Suppressed if hasattr(feature, 'Suppressed') else False,
'parameters': {}
}
# Try to extract parameters based on feature type
# This is type-specific - examples below
# Extrude features
if 'Extrude' in feat_type:
try:
# Access via builder (read-only)
# Note: Full parameter access requires feature editing
feat_data['parameters']['type'] = 'extrusion'
except:
pass
# Shell features
elif 'Shell' in feat_type:
try:
feat_data['parameters']['type'] = 'shell'
except:
pass
features['details'].append(feat_data)
# Count by type
if feat_type in features['by_type']:
features['by_type'][feat_type] += 1
else:
features['by_type'][feat_type] = 1
features['total_count'] = len(features['details'])
return features
```
### 1.4 Mass Properties Extraction
```python
def extract_mass_properties(part):
"""Extract mass, volume, COG using MeasureManager."""
# Get all solid bodies
solid_bodies = [body for body in part.Bodies if body.IsSolidBody]
if not solid_bodies:
return {
'error': 'No solid bodies found',
'success': False
}
try:
measureManager = part.MeasureManager
# Build mass units array
uc = part.UnitCollection
mass_units = [
uc.GetBase("Area"),
uc.GetBase("Volume"),
uc.GetBase("Mass"),
uc.GetBase("Length")
]
# Compute mass properties
measureBodies = measureManager.NewMassProperties(mass_units, 0.99, solid_bodies)
result = {
'mass_kg': measureBodies.Mass,
'mass_g': measureBodies.Mass * 1000.0,
'volume_mm3': measureBodies.Volume,
'surface_area_mm2': measureBodies.Area,
'center_of_gravity_mm': [
measureBodies.Centroid.X,
measureBodies.Centroid.Y,
measureBodies.Centroid.Z
],
'num_bodies': len(solid_bodies),
'success': True
}
# Clean up
measureBodies.Dispose()
return result
except Exception as e:
return {
'error': str(e),
'success': False
}
```
### 1.5 Material Extraction
```python
def extract_materials(part):
"""Extract all materials with properties."""
materials = {
'assigned': [],
'available': []
}
# Get materials assigned to bodies
for body in part.Bodies:
if not body.IsSolidBody:
continue
try:
phys_mat = body.GetPhysicalMaterial()
if phys_mat:
mat_info = {
'name': phys_mat.Name,
'body': body.Name if hasattr(body, 'Name') else 'Unknown',
'properties': {}
}
# Common material properties
prop_names = [
'Density',
'YoungModulus',
'PoissonRatio',
'ThermalExpansionCoefficient',
'ThermalConductivity',
'SpecificHeat',
'YieldStrength',
'UltimateStrength'
]
for prop_name in prop_names:
try:
val = phys_mat.GetPropertyValue(prop_name)
if val is not None:
mat_info['properties'][prop_name] = float(val)
except:
pass
materials['assigned'].append(mat_info)
except:
pass
# Get all materials in part
try:
pmm = part.PhysicalMaterialManager
if pmm:
all_mats = pmm.GetAllPhysicalMaterials()
for mat in all_mats:
mat_info = {
'name': mat.Name,
'properties': {}
}
prop_names = ['Density', 'YoungModulus', 'PoissonRatio']
for prop_name in prop_names:
try:
val = mat.GetPropertyValue(prop_name)
if val is not None:
mat_info['properties'][prop_name] = float(val)
except:
pass
materials['available'].append(mat_info)
except:
pass
return materials
```
---
## 2. FEA Model Structure — FEM Part Extraction
### 2.1 Mesh Statistics (NXOpen CAE)
```python
import NXOpen.CAE
def extract_mesh_stats(fem_part):
"""Extract basic mesh statistics."""
mesh_info = {
'total_nodes': 0,
'total_elements': 0,
'element_types': {},
'success': False
}
try:
fe_model = fem_part.BaseFEModel
if not fe_model:
return mesh_info
# Get node count
try:
mesh_info['total_nodes'] = fe_model.FenodeLabelMap.Size
except:
pass
# Get element count
try:
mesh_info['total_elements'] = fe_model.FeelementLabelMap.Size
except:
pass
# Iterate elements to count by type
# Note: Full element type extraction requires pyNastran BDF parsing
mesh_info['success'] = True
except Exception as e:
mesh_info['error'] = str(e)
return mesh_info
```
### 2.2 Mesh Quality Audit (NXOpen CAE)
```python
import NXOpen.CAE.QualityAudit
def extract_mesh_quality(fem_part):
"""Run quality audit and extract metrics."""
quality = {
'aspect_ratio': {},
'jacobian': {},
'warpage': {},
'skew': {},
'success': False
}
try:
# Create quality audit builder
qa_manager = fem_part.QualityAuditManager
# Note: Full quality audit requires setting up checks
# This is a simplified example
# Get quality audit collections
# (Actual implementation depends on NX version and setup)
quality['success'] = True
except Exception as e:
quality['error'] = str(e)
return quality
```
### 2.3 Mesh Collector Extraction
```python
def extract_mesh_collectors(fem_part):
"""Extract mesh collectors with element assignments."""
collectors = []
try:
fe_model = fem_part.BaseFEModel
if not fe_model:
return collectors
# Iterate mesh collectors
for collector in fe_model.MeshCollectors:
collector_info = {
'name': collector.Name if hasattr(collector, 'Name') else 'Unknown',
'type': str(type(collector).__name__),
'element_count': 0
}
# Try to get elements
try:
elements = collector.GetElements()
collector_info['element_count'] = len(elements) if elements else 0
except:
pass
collectors.append(collector_info)
except Exception as e:
pass
return collectors
```
---
## 3. pyNastran BDF Parsing — Detailed FEA Data
### 3.1 Element Type Distribution
```python
from pyNastran.bdf.bdf import BDF
def extract_element_types(bdf_path):
"""Extract element type distribution from BDF file."""
model = BDF()
model.read_bdf(bdf_path)
element_types = {}
for eid, elem in model.elements.items():
elem_type = elem.type
if elem_type in element_types:
element_types[elem_type] += 1
else:
element_types[elem_type] = 1
return {
'total_elements': len(model.elements),
'total_nodes': len(model.nodes),
'element_types': element_types
}
```
### 3.2 Material Properties
```python
def extract_materials_from_bdf(bdf_path):
"""Extract all materials from BDF file."""
model = BDF()
model.read_bdf(bdf_path)
materials = []
for mat_id, mat in model.materials.items():
mat_info = {
'id': mat_id,
'type': mat.type,
'properties': {}
}
# MAT1 (isotropic)
if mat.type == 'MAT1':
mat_info['properties'] = {
'E': mat.E, # Young's modulus
'G': mat.G, # Shear modulus
'nu': mat.nu, # Poisson's ratio
'rho': mat.rho, # Density
}
# Add other material types (MAT2, MAT8, etc.) as needed
materials.append(mat_info)
return materials
```
### 3.3 Property Cards
```python
def extract_properties_from_bdf(bdf_path):
"""Extract property cards (PSHELL, PSOLID, etc.)."""
model = BDF()
model.read_bdf(bdf_path)
properties = []
for prop_id, prop in model.properties.items():
prop_info = {
'id': prop_id,
'type': prop.type,
'parameters': {}
}
# PSHELL
if prop.type == 'PSHELL':
prop_info['parameters'] = {
'thickness': prop.t,
'material_id': prop.mid1
}
# PSOLID
elif prop.type == 'PSOLID':
prop_info['parameters'] = {
'material_id': prop.mid
}
properties.append(prop_info)
return properties
```
### 3.4 Boundary Conditions & Loads
```python
def extract_bcs_from_bdf(bdf_path):
"""Extract SPCs and loads from BDF file."""
model = BDF()
model.read_bdf(bdf_path)
bcs = {
'spcs': [],
'forces': [],
'pressures': []
}
# SPCs (Single Point Constraints)
for spc_id, spc in model.spcadds.items():
spc_info = {
'id': spc_id,
'type': 'SPC',
'node_ids': [],
'dofs': []
}
# Parse SPC details
bcs['spcs'].append(spc_info)
# Forces
for force_id, force in model.forces.items():
force_info = {
'id': force_id,
'type': 'FORCE',
'node_id': force.node,
'magnitude': force.mag,
'direction': [force.xyz[0], force.xyz[1], force.xyz[2]]
}
bcs['forces'].append(force_info)
# Pressures (PLOAD4)
for pload_id, pload in model.pressures.items():
pload_info = {
'id': pload_id,
'type': 'PLOAD4',
'element_ids': [pload.eid],
'pressure': pload.pressures[0]
}
bcs['pressures'].append(pload_info)
return bcs
```
### 3.5 Subcases & Solution Configuration
```python
def extract_subcases_from_bdf(bdf_path):
"""Extract subcase information from BDF."""
model = BDF()
model.read_bdf(bdf_path)
subcases = []
# Access case control deck
for subcase_id, subcase in model.subcases.items():
if subcase_id == 0:
continue # Skip global subcase
subcase_info = {
'id': subcase_id,
'name': subcase.params.get('SUBTITLE', [''])[0],
'load_set': subcase.params.get('LOAD', [None])[0],
'spc_set': subcase.params.get('SPC', [None])[0],
'output_requests': []
}
# Check for output requests
if 'DISPLACEMENT' in subcase.params:
subcase_info['output_requests'].append('DISPLACEMENT')
if 'STRESS' in subcase.params:
subcase_info['output_requests'].append('STRESS')
if 'STRAIN' in subcase.params:
subcase_info['output_requests'].append('STRAIN')
subcases.append(subcase_info)
return subcases
```
---
## 4. Result Extraction — pyNastran OP2
### 4.1 Displacement Results
```python
from pyNastran.op2.op2 import OP2
def extract_displacement_results(op2_path, subcase_id=1):
"""Extract displacement results from OP2 file."""
op2 = OP2()
op2.read_op2(op2_path)
# Get displacement for subcase
displ = op2.displacements[subcase_id]
# Get max displacement
data = displ.data[0] # First time step (static)
magnitudes = np.sqrt(data[:, 0]**2 + data[:, 1]**2 + data[:, 2]**2)
max_idx = np.argmax(magnitudes)
max_node = displ.node_gridtype[max_idx, 0]
result = {
'max_magnitude_mm': float(magnitudes[max_idx]),
'max_node': int(max_node),
'average_mm': float(np.mean(magnitudes)),
'std_dev_mm': float(np.std(magnitudes))
}
return result
```
### 4.2 Stress Results
```python
def extract_stress_results(op2_path, subcase_id=1):
"""Extract von Mises stress from OP2 file."""
op2 = OP2()
op2.read_op2(op2_path)
# Try to get element stress (CTETRA, CQUAD4, etc.)
if subcase_id in op2.ctetra_stress:
stress = op2.ctetra_stress[subcase_id]
vm_stress = stress.data[0][:, 6] # Von Mises column
elif subcase_id in op2.cquad4_stress:
stress = op2.cquad4_stress[subcase_id]
vm_stress = stress.data[0][:, 7] # Von Mises column
else:
return {'error': 'No stress results found'}
max_idx = np.argmax(vm_stress)
max_elem = stress.element_node[max_idx, 0]
result = {
'max_von_mises_MPa': float(vm_stress[max_idx]),
'max_element': int(max_elem),
'average_MPa': float(np.mean(vm_stress)),
'std_dev_MPa': float(np.std(vm_stress))
}
return result
```
### 4.3 Frequency Results (Modal)
```python
def extract_frequency_results(op2_path, num_modes=10):
"""Extract modal frequencies from OP2 file."""
op2 = OP2()
op2.read_op2(op2_path)
# Get eigenvalues
eigenvalues = op2.eigenvalues
frequencies = []
for mode_id in sorted(eigenvalues.keys())[:num_modes]:
eig_data = eigenvalues[mode_id]
freq_hz = eig_data.eigenvalues[0] # First value is frequency
frequencies.append({
'mode': mode_id,
'frequency_hz': float(freq_hz)
})
return frequencies
```
---
## 5. Solver Configuration — SIM File Introspection
### 5.1 Solution Detection
```python
def extract_solutions(sim_simulation):
"""Extract all solutions from simulation object."""
solutions = []
# Try common solution name patterns
patterns = [
"Solution 1", "Solution 2", "Solution 3",
"Static", "Modal", "Buckling", "Thermal"
]
for pattern in patterns:
try:
sol = sim_simulation.FindObject(f"Solution[{pattern}]")
if sol:
sol_info = {
'name': pattern,
'type': str(type(sol).__name__)
}
# Try to get solver type
try:
sol_info['solver_type'] = str(sol.SolverType)
except:
pass
# Try to get analysis type
try:
sol_info['analysis_type'] = str(sol.AnalysisType)
except:
pass
solutions.append(sol_info)
except:
pass
return solutions
```
### 5.2 Boundary Condition Detection (Exploratory)
```python
def extract_boundary_conditions(sim_simulation):
"""Extract boundary conditions (exploratory)."""
bcs = {
'constraints': [],
'loads': []
}
# Try common BC name patterns
constraint_patterns = [
"Fixed Constraint[1]", "Fixed Constraint[2]",
"SPC[1]", "SPC[2]",
"Constraint Group[1]"
]
load_patterns = [
"Force[1]", "Force[2]",
"Pressure[1]", "Pressure[2]",
"Load Group[1]"
]
for pattern in constraint_patterns:
try:
obj = sim_simulation.FindObject(pattern)
if obj:
bcs['constraints'].append({
'name': pattern,
'type': str(type(obj).__name__)
})
except:
pass
for pattern in load_patterns:
try:
obj = sim_simulation.FindObject(pattern)
if obj:
bcs['loads'].append({
'name': pattern,
'type': str(type(obj).__name__)
})
except:
pass
return bcs
```
---
## 6. Master Introspection Orchestrator
### 6.1 Full Introspection Runner
```python
import json
import os
from datetime import datetime
def run_full_introspection(prt_path, sim_path, output_dir):
"""Run comprehensive introspection and generate master JSON."""
# Initialize result structure
introspection = {
'introspection_version': '1.0.0',
'timestamp': datetime.now().isoformat(),
'model_id': os.path.basename(prt_path).replace('.prt', ''),
'files': {
'geometry': prt_path,
'simulation': sim_path
},
'geometric_parameters': {},
'fea_model': {},
'solver_configuration': {},
'dependencies': {},
'baseline_results': {}
}
# Phase 1: Part introspection
print("[INTROSPECT] Phase 1: Geometric parameters...")
part_data = introspect_part(prt_path)
introspection['geometric_parameters'] = part_data
# Phase 2: FEM introspection
print("[INTROSPECT] Phase 2: FEA model...")
fem_data = introspect_fem(sim_path)
introspection['fea_model'] = fem_data
# Phase 3: Solver configuration
print("[INTROSPECT] Phase 3: Solver configuration...")
solver_data = introspect_solver(sim_path)
introspection['solver_configuration'] = solver_data
# Phase 4: Dependency graph
print("[INTROSPECT] Phase 4: Dependencies...")
deps = build_dependency_graph(prt_path)
introspection['dependencies'] = deps
# Phase 5: Baseline results (if available)
print("[INTROSPECT] Phase 5: Baseline results...")
# (Only if OP2 exists)
# Write output
output_file = os.path.join(output_dir, 'model_introspection_FULL.json')
with open(output_file, 'w') as f:
json.dump(introspection, f, indent=2)
print(f"[INTROSPECT] Complete! Output: {output_file}")
return introspection
```
---
## 7. Usage Examples
### 7.1 Part Introspection (Standalone)
```python
# Open NX part
theSession = NXOpen.Session.GetSession()
basePart, status = theSession.Parts.OpenActiveDisplay(
"/path/to/bracket.prt",
NXOpen.DisplayPartOption.AllowAdditional
)
status.Dispose()
workPart = theSession.Parts.Work
# Extract expressions
expressions = extract_expressions(workPart)
print(f"Found {len(expressions['user'])} user expressions")
# Extract mass properties
mass_props = extract_mass_properties(workPart)
print(f"Mass: {mass_props['mass_kg']:.4f} kg")
# Build expression graph
graph = build_expression_graph(workPart)
print(f"Expression graph: {len(graph['nodes'])} nodes, {len(graph['edges'])} edges")
```
### 7.2 BDF Parsing (Standalone)
```python
from pyNastran.bdf.bdf import BDF
# Read BDF file
model = BDF()
model.read_bdf("/path/to/bracket_fem1.bdf")
# Extract element types
elem_types = extract_element_types("/path/to/bracket_fem1.bdf")
print(f"Elements: {elem_types['total_elements']}")
print(f"Types: {elem_types['element_types']}")
# Extract materials
materials = extract_materials_from_bdf("/path/to/bracket_fem1.bdf")
for mat in materials:
print(f"Material {mat['id']}: {mat['type']}, E={mat['properties'].get('E')}")
```
### 7.3 OP2 Result Extraction
```python
from pyNastran.op2.op2 import OP2
import numpy as np
# Read OP2 file
op2_path = "/path/to/bracket_sim1_s1.op2"
displ = extract_displacement_results(op2_path, subcase_id=1)
print(f"Max displacement: {displ['max_magnitude_mm']:.4f} mm at node {displ['max_node']}")
stress = extract_stress_results(op2_path, subcase_id=1)
print(f"Max von Mises: {stress['max_von_mises_MPa']:.2f} MPa at element {stress['max_element']}")
```
---
## 8. Best Practices
### 8.1 Error Handling
- Always wrap NXOpen API calls in try-except blocks
- Log errors to JSON output for debugging
- Continue execution even if one introspection layer fails
### 8.2 Performance
- Use lazy loading for large OP2 files
- Cache expression dependency graphs
- Limit mesh quality checks to sample elements for very large meshes
### 8.3 NX Version Compatibility
- Test on NX 2506+ (guaranteed compatible)
- Use `hasattr()` checks before accessing optional properties
- Provide fallback values for missing API methods
---
**Status:** Technical implementation guide complete — ready for development.
**Next:** Implement enhanced `introspect_part.py` and new `introspect_fem.py` based on these patterns.
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