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Users who use OrcaSlicer without Bambu Cloud can now import slicer presets directly into Bambuddy. Supports .orca_filament, .bbscfg, .bbsflmt, .zip, and .json exports with automatic inheritance resolution via OrcaSlicer's GitHub base profiles (cached with 7-day TTL).
41 lines
1.8 KiB
Python
41 lines
1.8 KiB
Python
"""Model for locally stored slicer presets (imported from OrcaSlicer, etc.)."""
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from datetime import datetime
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from sqlalchemy import DateTime, Integer, String, Text, func
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from sqlalchemy.orm import Mapped, mapped_column
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from backend.app.core.database import Base
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class LocalPreset(Base):
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"""A locally stored slicer preset, typically imported from OrcaSlicer."""
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__tablename__ = "local_presets"
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id: Mapped[int] = mapped_column(primary_key=True)
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name: Mapped[str] = mapped_column(String(300))
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preset_type: Mapped[str] = mapped_column(String(20)) # filament, printer, process
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source: Mapped[str] = mapped_column(String(50), default="orcaslicer") # orcaslicer, manual
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# Core fields extracted for filtering / AMS config
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filament_type: Mapped[str | None] = mapped_column(String(50))
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filament_vendor: Mapped[str | None] = mapped_column(String(200))
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nozzle_temp_min: Mapped[int | None] = mapped_column(Integer)
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nozzle_temp_max: Mapped[int | None] = mapped_column(Integer)
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pressure_advance: Mapped[str | None] = mapped_column(String(50))
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default_filament_colour: Mapped[str | None] = mapped_column(String(50))
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filament_cost: Mapped[str | None] = mapped_column(String(50))
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filament_density: Mapped[str | None] = mapped_column(String(50))
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compatible_printers: Mapped[str | None] = mapped_column(Text) # JSON array
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# Full resolved JSON blob
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setting: Mapped[str] = mapped_column(Text)
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# Inheritance info
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inherits: Mapped[str | None] = mapped_column(String(300))
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version: Mapped[str | None] = mapped_column(String(50))
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created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
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updated_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now(), onupdate=func.now())
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