Antoine
4bec4063a5
- Python Brain: density field, constrained Delaunay triangulation, pocket profiles, profile assembly, validation modules - NX Hands: skeleton scripts for geometry extraction, AFEM setup, per-iteration solve (require NX environment to develop) - Atomizer integration: 15-param space definition, objective function - Technical spec, README, sample test geometry, requirements.txt - Architecture: Python Brain + NX Hands + Atomizer Manager
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
"""
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NXOpen script — Extract plate geometry from selected face.
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ONE-TIME: Run inside NX. User selects plate face, assigns hole weights.
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Exports geometry.json for the Python brain.
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NOTE: This is pseudocode / skeleton. Actual NXOpen API calls need
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NX environment to develop and test.
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"""
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# This script runs inside NX — NXOpen is available at runtime
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# import NXOpen
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# import json
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# import math
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def extract_plate_geometry(face, hole_weights):
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"""
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Extract plate geometry from an NX face.
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Parameters
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----------
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face : NXOpen.Face
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The selected plate face.
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hole_weights : dict
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{loop_index: weight} from user input.
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Returns
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-------
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dict : geometry definition for export.
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"""
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raise NotImplementedError(
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"This script must be developed and tested inside NX Simcenter. "
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"See docs/technical-spec.md Section 2 for full pseudocode."
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)
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def sample_edge(edge, tolerance=0.1):
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"""Sample edge curve as polyline with given chord tolerance."""
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# NXOpen: edge.GetCurve(), evaluate at intervals
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raise NotImplementedError
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def fit_circle(points):
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"""Fit a circle to boundary points. Returns (center, diameter)."""
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# Least-squares circle fit
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raise NotImplementedError
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def export_geometry(geometry, filepath='geometry.json'):
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"""Export geometry dict to JSON."""
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import json
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with open(filepath, 'w') as f:
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json.dump(geometry, f, indent=2)
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