feat: rich product metadata extraction from STEP files
Extract volume, surface area, part count, assembly hierarchy, and complexity from STEP files via OCC B-rep analysis. Backend: - extract_rich_metadata() in step_processor.py: computes per-part volume (BRepGProp), surface area, triangle/vertex count, assembly depth, instance count, complexity score, largest part identification - cad_metadata JSONB column on Product model (DB migration) - Auto-populated during STEP processing (non-fatal, 10s timeout) - Also stored in cad_files.mesh_attributes["rich_metadata"] - Batch re-extract endpoint: POST /admin/settings/reextract-rich-metadata AI Agent: - search_products returns part_count, volume_cm3, complexity, largest_part - query_database tool description documents cad_metadata schema Frontend: - ProductDetail page: CAD Metadata section with stat cards (parts, volume, surface area, complexity, triangles, assembly depth) - Admin System Tools: "Re-extract Rich Metadata" button for backfill Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -67,6 +67,7 @@ export interface Product {
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} | null
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arbeitspaket: string | null
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cad_render_log?: RenderLog | null
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cad_metadata: Record<string, unknown> | null
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notes: string | null
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is_active: boolean
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source_excel: string | null
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