bambuddy/backend/app/models/archive.py

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
    )

    # 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)

    # 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)
    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")
    created_by: Mapped["User | None"] = relationship()


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