Files

56 lines
2.9 KiB
Python

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
)
# Which queue item produced this run, when one did. Printer-initiated
# prints have none. Batch cost/energy roll-up joins on this (#342): the
# archive alone can't attribute a run to an order because several orders
# — and plain reprints — share one archive.
queue_item_id: Mapped[int | None] = mapped_column(
ForeignKey("print_queue.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))
# User quality verdict ('good' / 'reject'), mirrored from the archive on
# PATCH exactly like status/failure_reason (#1444 mirror) so verdict-aware
# statistics can stay on this table (#1898).
user_verdict: Mapped[str | None] = mapped_column(String(10), nullable=True)
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())