from datetime import datetime from sqlalchemy import DateTime, Float, ForeignKey, Integer, String, func from sqlalchemy.orm import Mapped, mapped_column from backend.app.core.database import Base class PrintLogEntry(Base): """Independent print log entry. Written when print events occur. This is a separate table from archives/queue — clearing the log never touches archives or queue items. archive_id is a nullable FK so log entries survive archive deletion (ON DELETE SET NULL). Aggregating runs per archive — for the per-archive "Print Log" view and for statistics that should not double-count overwritten archives (#1378) — is done via WHERE archive_id = X. """ __tablename__ = "print_log_entries" id: Mapped[int] = mapped_column(primary_key=True) archive_id: Mapped[int | None] = mapped_column( ForeignKey("print_archives.id", ondelete="SET NULL"), nullable=True, index=True ) print_name: Mapped[str | None] = mapped_column(String(255)) printer_name: Mapped[str | None] = mapped_column(String(255)) printer_id: Mapped[int | None] = mapped_column(Integer) status: Mapped[str] = mapped_column(String(20)) # completed, failed, stopped, cancelled, skipped started_at: Mapped[datetime | None] = mapped_column(DateTime) completed_at: Mapped[datetime | None] = mapped_column(DateTime) duration_seconds: Mapped[int | None] = mapped_column(Integer) filament_type: Mapped[str | None] = mapped_column(String(50)) filament_color: Mapped[str | None] = mapped_column(String(50)) filament_used_grams: Mapped[float | None] = mapped_column(Float) cost: Mapped[float | None] = mapped_column(Float) energy_kwh: Mapped[float | None] = mapped_column(Float) energy_cost: Mapped[float | None] = mapped_column(Float) failure_reason: Mapped[str | None] = mapped_column(String(100)) thumbnail_path: Mapped[str | None] = mapped_column(String(500)) created_by_id: Mapped[int | None] = mapped_column(ForeignKey("users.id", ondelete="SET NULL"), nullable=True) created_by_username: Mapped[str | None] = mapped_column(String(100)) created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())