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PAUSE counted toward runtime_seconds equally with RUNNING, inflating hours-based maintenance thresholds (rod lube, belt check, nozzle clean) by however long overnight or extended pauses lasted. Maintenance items track mechanical wear, which is zero while paused, so the predicate now excludes PAUSE. Field-comment and docstring trail across main.py / models/printer.py / maintenance.py updated to match. Existing runtime_seconds values cannot be retroactively split — only future accumulation is fixed. Adds 3 regression tests pinning PAUSE non-accumulation, RUNNING accumulation, and the FINISH state's last_runtime_update clear (prevents idle-time back-bill when the printer next goes RUNNING).
69 lines
4.2 KiB
Python
69 lines
4.2 KiB
Python
from datetime import datetime
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from sqlalchemy import Boolean, DateTime, Float, String, 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 Printer(Base):
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__tablename__ = "printers"
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id: Mapped[int] = mapped_column(primary_key=True)
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name: Mapped[str] = mapped_column(String(100))
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serial_number: Mapped[str] = mapped_column(String(50), unique=True)
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ip_address: Mapped[str] = mapped_column(String(253))
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access_code: Mapped[str] = mapped_column(String(20))
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model: Mapped[str | None] = mapped_column(String(50))
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location: Mapped[str | None] = mapped_column(String(100)) # Group/location name
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nozzle_count: Mapped[int] = mapped_column(default=1) # 1 or 2, auto-detected from MQTT
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is_active: Mapped[bool] = mapped_column(Boolean, default=True)
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auto_archive: Mapped[bool] = mapped_column(Boolean, default=True)
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print_hours_offset: Mapped[float] = mapped_column(Float, default=0.0) # Baseline hours to add
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runtime_seconds: Mapped[int] = mapped_column(
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default=0
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) # Accumulated active runtime (RUNNING state only — see #1521)
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last_runtime_update: Mapped[datetime | None] = mapped_column(
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DateTime, nullable=True
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) # Last time runtime was updated
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# External camera configuration
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external_camera_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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external_camera_type: Mapped[str | None] = mapped_column(String(20), nullable=True) # mjpeg, rtsp, snapshot
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external_camera_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
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# Optional single-frame snapshot URL — when set, used for snapshot / finish-photo
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# / timelapse / plate-detect captures instead of opening the live stream and
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# skipping a warm-up frame. Bypasses MJPEG warm-up issues on sources that
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# expose a dedicated frame endpoint (e.g. go2rtc's /api/frame.jpeg). #1177.
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external_camera_snapshot_url: Mapped[str | None] = mapped_column(String(500), nullable=True)
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camera_rotation: Mapped[int] = mapped_column(default=0) # 0, 90, 180, 270 degrees
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# Plate detection - check if build plate is empty before starting print
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plate_detection_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
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# ROI for plate detection (percentages: 0.0-1.0)
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plate_detection_roi_x: Mapped[float | None] = mapped_column(Float, nullable=True) # X start %
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plate_detection_roi_y: Mapped[float | None] = mapped_column(Float, nullable=True) # Y start %
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plate_detection_roi_w: Mapped[float | None] = mapped_column(Float, nullable=True) # Width %
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plate_detection_roi_h: Mapped[float | None] = mapped_column(Float, nullable=True) # Height %
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# Queue: True after a print finishes/fails, until user acknowledges the plate is cleared.
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# Persisted so the gate survives crashes and power cycles (issue #961).
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awaiting_plate_clear: Mapped[bool] = mapped_column(Boolean, default=False)
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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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# Relationships
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archives: Mapped[list["PrintArchive"]] = relationship(back_populates="printer", cascade="all, delete-orphan")
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smart_plugs: Mapped[list["SmartPlug"]] = relationship(back_populates="printer")
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notification_providers: Mapped[list["NotificationProvider"]] = relationship(back_populates="printer")
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maintenance_items: Mapped[list["PrinterMaintenance"]] = relationship(
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back_populates="printer", cascade="all, delete-orphan"
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)
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kprofile_notes: Mapped[list["KProfileNote"]] = relationship(back_populates="printer", cascade="all, delete-orphan")
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ams_history: Mapped[list["AMSSensorHistory"]] = relationship(back_populates="printer", cascade="all, delete-orphan")
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from backend.app.models.ams_history import AMSSensorHistory # noqa: E402
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from backend.app.models.archive import PrintArchive # noqa: E402
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from backend.app.models.kprofile_note import KProfileNote # noqa: E402
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from backend.app.models.maintenance import PrinterMaintenance # noqa: E402
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from backend.app.models.notification import NotificationProvider # noqa: E402
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from backend.app.models.smart_plug import SmartPlug # noqa: E402
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