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https://github.com/maziggy/bambuddy.git
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maziggy
aeca15b585
SpoolBuddy turns a Raspberry Pi 4B with a PN5180 NFC reader and NAU7802 scale into a filament management station that integrates with Bambuddy via REST API and WebSocket. Backend: SpoolBuddyDevice model, 10 REST endpoints (/spoolbuddy/*), 6 WebSocket broadcast types, background offline-detection watchdog. RPi daemon: asyncio service with concurrent NFC polling (300ms, MIFARE Classic + Bambu HKDF key derivation), scale reading (10 SPS, 5-sample moving average, stability detection), and 10s heartbeat with exponential backoff reconnect. Frontend: kiosk-optimized 1024x600 UI at /spoolbuddy with Dashboard (live weight + NFC spool detection), AMS Overview, Inventory, Printers, and Settings pages. useSpoolBuddyState reducer hook driven by WebSocket CustomEvents. i18n: all 6 locales (en, de, fr, it, ja, pt-BR).
30 lines
1.4 KiB
Python
30 lines
1.4 KiB
Python
from datetime import datetime
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from sqlalchemy import Boolean, DateTime, Float, Integer, String, 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 SpoolBuddyDevice(Base):
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"""SpoolBuddy device registration for RPi-based filament management stations."""
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__tablename__ = "spoolbuddy_devices"
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id: Mapped[int] = mapped_column(primary_key=True)
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device_id: Mapped[str] = mapped_column(String(50), unique=True, index=True)
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hostname: Mapped[str] = mapped_column(String(100))
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ip_address: Mapped[str] = mapped_column(String(45))
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firmware_version: Mapped[str | None] = mapped_column(String(20))
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has_nfc: Mapped[bool] = mapped_column(Boolean, default=True)
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has_scale: Mapped[bool] = mapped_column(Boolean, default=True)
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tare_offset: Mapped[int] = mapped_column(Integer, default=0)
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calibration_factor: Mapped[float] = mapped_column(Float, default=1.0)
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last_seen: Mapped[datetime | None] = mapped_column(DateTime)
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pending_command: Mapped[str | None] = mapped_column(String(50))
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nfc_ok: Mapped[bool] = mapped_column(Boolean, default=False)
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scale_ok: Mapped[bool] = mapped_column(Boolean, default=False)
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uptime_s: Mapped[int] = mapped_column(Integer, default=0)
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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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