Hartmut
cfccdd5397
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>
25 lines
836 B
Python
25 lines
836 B
Python
"""
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Legacy import shim — tasks have moved to app.domains.pipeline.tasks.*
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This module re-exports all tasks so that existing Celery task names
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(registered as "app.tasks.step_tasks.*") continue to resolve.
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Celery discovers tasks by import path, so these re-exports are required.
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"""
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from app.domains.pipeline.tasks.extract_metadata import ( # noqa: F401
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process_step_file,
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reextract_cad_metadata,
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reextract_rich_metadata_task,
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)
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from app.domains.pipeline.tasks.render_thumbnail import ( # noqa: F401
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render_step_thumbnail,
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regenerate_thumbnail,
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)
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from app.domains.pipeline.tasks.render_order_line import ( # noqa: F401
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dispatch_order_line_render,
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render_order_line_task,
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)
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from app.domains.pipeline.tasks.export_glb import ( # noqa: F401
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generate_gltf_geometry_task,
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generate_usd_master_task,
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)
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