Files
2026-08-06 20:27:25 +02:00

140 lines
7.9 KiB
Python

from datetime import datetime
from sqlalchemy import JSON, Boolean, DateTime, Float, ForeignKey, Integer, String, Text, func
from sqlalchemy.orm import Mapped, mapped_column, relationship
from backend.app.core.database import Base
class PrintArchive(Base):
__tablename__ = "print_archives"
id: Mapped[int] = mapped_column(primary_key=True)
printer_id: Mapped[int | None] = mapped_column(ForeignKey("printers.id"), nullable=True)
project_id: Mapped[int | None] = mapped_column(ForeignKey("projects.id", ondelete="SET NULL"), nullable=True)
# Which library file this run was dispatched from (#1897). Set by the queue
# scheduler when it archives a library-file print; older rows are matched by
# content_hash/filename instead. SET NULL so deleting a file keeps history.
library_file_id: Mapped[int | None] = mapped_column(
ForeignKey("library_files.id", ondelete="SET NULL"), nullable=True
)
cost_center_id: Mapped[int | None] = mapped_column(
ForeignKey("cost_centers.id", ondelete="SET NULL"), nullable=True
)
# File info
filename: Mapped[str] = mapped_column(String(255))
file_path: Mapped[str] = mapped_column(String(500))
file_size: Mapped[int] = mapped_column(Integer)
content_hash: Mapped[str | None] = mapped_column(String(64)) # SHA256 hash for duplicate detection
thumbnail_path: Mapped[str | None] = mapped_column(String(500))
timelapse_path: Mapped[str | None] = mapped_column(String(500))
# True when Bambuddy forced timelapse recording on for this print so the
# finish-photo extractor (#1397) could pull the post-park-pre-drop frame.
# The cleanup path uses this to know the timelapse should be deleted
# both locally and on the printer's SD after extraction — the user
# didn't opt in to a timelapse recording.
bambuddy_forced_timelapse: Mapped[bool] = mapped_column(Boolean, default=False, server_default="0")
# Video filenames present in the printer's /timelapse directory when this
# print started (#2704). The printer writes its video only at print end, so
# anything not in this list belongs to this print — a comparison that needs
# no clock, which matters because a LAN-only printer can't reach Bambu's NTP
# server and its filename timestamps are arbitrarily wrong. Persisted (not
# just held in memory) so the diff survives a restart and so the manual
# "Scan for Timelapse" button can use it instead of guessing from
# timestamps. NULL for archives predating this, and for baselines taken at
# completion time, which are useless by construction.
timelapse_baseline: Mapped[list | None] = mapped_column(JSON, nullable=True)
source_3mf_path: Mapped[str | None] = mapped_column(String(500)) # Original project 3MF from slicer
f3d_path: Mapped[str | None] = mapped_column(String(500)) # Fusion 360 design file
# Print details from 3MF / printer
print_name: Mapped[str | None] = mapped_column(String(255))
print_time_seconds: Mapped[int | None] = mapped_column(Integer)
filament_used_grams: Mapped[float | None] = mapped_column(Float)
filament_type: Mapped[str | None] = mapped_column(String(50))
filament_color: Mapped[str | None] = mapped_column(String(200))
layer_height: Mapped[float | None] = mapped_column(Float)
total_layers: Mapped[int | None] = mapped_column(Integer)
nozzle_diameter: Mapped[float | None] = mapped_column(Float)
bed_temperature: Mapped[int | None] = mapped_column(Integer)
bed_type: Mapped[str | None] = mapped_column(String(64)) # e.g. "Cool Plate", "Textured PEI Plate"
nozzle_temperature: Mapped[int | None] = mapped_column(Integer)
# Printer model this file was sliced for (extracted from 3MF metadata)
sliced_for_model: Mapped[str | None] = mapped_column(String(50), nullable=True)
# Print result
status: Mapped[str] = mapped_column(String(20), default="completed")
started_at: Mapped[datetime | None] = mapped_column(DateTime)
completed_at: Mapped[datetime | None] = mapped_column(DateTime)
# Printer-assigned subtask identifier from MQTT. Used to resume the same
# archive row across a backend restart during a long-running print (#972):
# if the same subtask_id reappears after restart, we know it's the same
# print and keep the original row instead of cancel-then-create.
subtask_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
# Durable Bambuddy UUID for billing idempotency. Unlike subtask_id, this is
# not constrained by printer firmware and is replaced for every reprint.
billing_run_id: Mapped[str | None] = mapped_column(String(36), nullable=True)
# Which plate of a multi-plate 3MF this print was for (1-based), copied from
# the queue item at dispatch (#2603). A whole multi-plate 3MF is uploaded
# under one filename with no plate suffix, so the parser can't recover the
# selected plate and extra_data holds all-plates aggregate metadata; without
# this the history UI can't tell which plate was printed and falls back to
# Plate 1. NULL for archives with no specific selected plate.
plate_id: Mapped[int | None] = mapped_column(Integer, nullable=True)
# Extended metadata (JSON blob for flexibility)
extra_data: Mapped[dict | None] = mapped_column(JSON)
# MakerWorld info (auto-extracted from 3MF)
makerworld_url: Mapped[str | None] = mapped_column(String(500))
designer: Mapped[str | None] = mapped_column(String(255))
# User-defined external link (Printables, Thingiverse, etc.)
external_url: Mapped[str | None] = mapped_column(String(500))
# User additions
is_favorite: Mapped[bool] = mapped_column(Boolean, default=False)
wallet_charge_skipped: Mapped[bool] = mapped_column(Boolean, default=False)
tags: Mapped[str | None] = mapped_column(Text)
notes: Mapped[str | None] = mapped_column(Text)
cost: Mapped[float | None] = mapped_column(Float)
photos: Mapped[list | None] = mapped_column(JSON) # List of photo filenames
failure_reason: Mapped[str | None] = mapped_column(String(100)) # For failed prints
quantity: Mapped[int] = mapped_column(Integer, default=1) # Number of items printed
# Energy tracking
energy_kwh: Mapped[float | None] = mapped_column(Float) # Energy consumed in kWh
energy_cost: Mapped[float | None] = mapped_column(Float) # Cost of energy consumed
# Plug lifetime counter captured at print start; delta at print end becomes energy_kwh.
# Persisted so per-print tracking survives backend restarts mid-print (#941).
energy_start_kwh: Mapped[float | None] = mapped_column(Float)
# Timestamps
created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())
# Soft-delete sentinel (#1343). When non-null, the UI hides this archive
# from listings (its files have already been removed from disk) but the
# stats endpoint keeps counting it — deleting nine of ten Benchies no
# longer wipes their filament / time / cost contribution from Quick Stats.
# The opt-in "Also remove from statistics" checkbox in the delete dialog
# bypasses the soft-delete path and hard-deletes the row.
deleted_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True, default=None, index=True)
# User tracking (who uploaded/created this archive)
created_by_id: Mapped[int | None] = mapped_column(ForeignKey("users.id", ondelete="SET NULL"), nullable=True)
# Relationships
printer: Mapped["Printer | None"] = relationship(back_populates="archives")
project: Mapped["Project | None"] = relationship(back_populates="archives")
cost_center: Mapped["CostCenter | None"] = relationship()
created_by: Mapped["User | None"] = relationship()
from backend.app.models.finance import CostCenter # noqa: E402, F811
from backend.app.models.printer import Printer # noqa: E402, F811
from backend.app.models.project import Project # noqa: E402, F811
from backend.app.models.user import User # noqa: E402, F811