- StlCache model: filename, cube_x/y/z (mm), volume_ccm
- Migration 0007: stl_cache table
- app/stl_analysis.py: trimesh-based analyse() + get_cache_map()
- Runs immediately after upload in both /jobs and /brackets/{id}/jobs
- Skips .gcode (no geometry), caches per filename, idempotent
- Library selector in both modals now shows dimensions and volume
- requirements: trimesh==4.5.3
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
19 lines
689 B
Python
19 lines
689 B
Python
from datetime import datetime
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from sqlalchemy import DateTime, Float, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base
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class StlCache(Base):
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__tablename__ = "stl_cache"
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id: Mapped[int] = mapped_column(primary_key=True)
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filename: Mapped[str] = mapped_column(String(255), unique=True)
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cube_x: Mapped[float | None] = mapped_column(Float) # mm
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cube_y: Mapped[float | None] = mapped_column(Float) # mm
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cube_z: Mapped[float | None] = mapped_column(Float) # mm
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volume_ccm: Mapped[float | None] = mapped_column(Float) # cm³
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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