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maziggy
edf244c469
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).
36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
"""Model for storing AMS slot to filament preset mappings.
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This stores the user's preferred filament preset for each AMS slot,
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similar to how Bambu Studio remembers preset selections.
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"""
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from datetime import datetime
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from sqlalchemy import DateTime, ForeignKey, Integer, String, UniqueConstraint, func
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from backend.app.core.database import Base
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class SlotPresetMapping(Base):
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"""Maps an AMS slot to a cloud filament preset."""
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__tablename__ = "slot_preset_mappings"
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__table_args__ = (UniqueConstraint("printer_id", "ams_id", "tray_id", name="uq_slot_preset"),)
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id: Mapped[int] = mapped_column(primary_key=True)
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printer_id: Mapped[int] = mapped_column(ForeignKey("printers.id", ondelete="CASCADE"))
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ams_id: Mapped[int] = mapped_column(Integer) # AMS unit ID (0, 1, 2, 3)
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tray_id: Mapped[int] = mapped_column(Integer) # Tray ID within AMS (0-3)
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preset_id: Mapped[str] = mapped_column(String(100)) # Cloud preset setting_id
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preset_name: Mapped[str] = mapped_column(String(200)) # Preset name for display
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preset_source: Mapped[str] = mapped_column(String(20), default="cloud") # cloud or local
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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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# Relationship
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printer: Mapped["Printer"] = relationship()
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from backend.app.models.printer import Printer # noqa: E402
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