"""Trusted server-side cost estimates for queued prints.""" import json import logging from pathlib import Path from sqlalchemy import select from sqlalchemy.ext.asyncio import AsyncSession from sqlalchemy.orm import selectinload from backend.app.core.config import settings from backend.app.models.archive import PrintArchive from backend.app.models.library import LibraryFile from backend.app.models.spool_assignment import SpoolAssignment from backend.app.services.inventory_mode import spoolman_owns_assignments from backend.app.utils import threemf_tools from backend.app.utils.safe_path import safe_join_under logger = logging.getLogger(__name__) def plate_scoped_run_estimate( archive: PrintArchive, full_path: Path | None, plate_id: int | None = None, ) -> tuple[float | None, float | None]: """Return trusted ``(grams, cost)`` for one run of an archive plate.""" whole_grams = archive.filament_used_grams selected_plate = archive.plate_id if plate_id is None else plate_id if selected_plate is None or full_path is None or not full_path.exists(): return whole_grams, archive.cost try: plate_grams = threemf_tools.extract_plate_metadata_from_3mf(full_path, selected_plate).filament_used_grams except Exception as exc: logger.debug( "Plate-scoped estimate failed for archive %s (plate %s): %s", archive.id, selected_plate, exc, ) return whole_grams, archive.cost if not plate_grams or plate_grams <= 0: return whole_grams, archive.cost plate_cost = archive.cost if archive.cost and whole_grams and whole_grams > 0: plate_cost = round(archive.cost * (plate_grams / whole_grams), 2) return round(plate_grams, 2), plate_cost def _source_path(library_file: LibraryFile) -> Path: path = Path(library_file.file_path) if path.is_absolute(): # SEC-PATH-OK: absolute paths are persisted LibraryFile locations for # configured external libraries; this branch performs no path join. return path return safe_join_under(settings.base_dir, library_file.file_path, http=False) def _parse_mapping(mapping: list[int] | str | None) -> list[int] | None: if isinstance(mapping, list): return mapping if isinstance(mapping, str): try: parsed = json.loads(mapping) except (TypeError, json.JSONDecodeError): return None return parsed if isinstance(parsed, list) else None return None def _global_tray_id(assignment: SpoolAssignment) -> int: if assignment.ams_id == 255: return 254 + assignment.tray_id if assignment.ams_id >= 128: return assignment.ams_id return assignment.ams_id * 4 + assignment.tray_id async def _default_cost_per_kg(db: AsyncSession) -> float: from backend.app.api.routes.settings import get_setting raw = await get_setting(db, "default_filament_cost") try: return float(raw) if raw is not None else 25.0 except (TypeError, ValueError): return 25.0 async def estimate_queue_source_cost( db: AsyncSession, *, archive: PrintArchive | None = None, library_file: LibraryFile | None = None, plate_id: int | None = None, ams_mapping: list[int] | str | None = None, printer_id: int | None = None, ) -> float | None: """Compute a queue cost without trusting the request's display hint.""" if archive is not None: archive_path = settings.base_dir / archive.file_path grams, cost = plate_scoped_run_estimate(archive, archive_path, plate_id) if cost is not None and cost > 0: return float(cost) # Older archives and imports can have trustworthy filament usage but # no stored cost. Model-based and multi-printer jobs have no single # spool mapping at enqueue time, so use the server setting rather than # requiring the browser to provide an estimate. if grams is None or grams <= 0: return None default_cost = await _default_cost_per_kg(db) estimated_cost = (grams / 1000.0) * default_cost return max(0.01, round(estimated_cost, 2)) if estimated_cost > 0 else None if library_file is None: return None path = _source_path(library_file) usage: list[dict] = [] if path.exists(): usage = threemf_tools.extract_plate_metadata_from_3mf(path, plate_id).filament_usage metadata = library_file.file_metadata or {} if not usage: try: grams = float(metadata.get("filament_used_grams") or 0) except (TypeError, ValueError): grams = 0 if grams > 0: usage = [{"slot_id": 1, "used_g": grams}] if not usage: return None default_cost = await _default_cost_per_kg(db) cost_by_tray: dict[int, float | None] = {} mapping = _parse_mapping(ams_mapping) # Built-in spool prices only. In Spoolman mode the built-in table may still # hold rows from before the user switched -- nothing clears it since #2812 -- # and pricing an estimate from a spool the printer is not drawing on would # be worse than the default rate this falls back to. if printer_id is not None and mapping and not await spoolman_owns_assignments(db): assignments = ( ( await db.execute( select(SpoolAssignment) .options(selectinload(SpoolAssignment.spool)) .where(SpoolAssignment.printer_id == printer_id) ) ) .scalars() .all() ) cost_by_tray = {_global_tray_id(a): a.spool.cost_per_kg for a in assignments} total = 0.0 for filament in usage: try: slot_id = int(filament.get("slot_id") or 0) grams = float(filament.get("used_g") or 0) except (TypeError, ValueError): continue tray_id = mapping[slot_id - 1] if mapping and 0 < slot_id <= len(mapping) else None cost_per_kg = cost_by_tray.get(tray_id) if tray_id is not None else None if cost_per_kg is None or cost_per_kg <= 0: cost_per_kg = default_cost total += (grams / 1000.0) * cost_per_kg return round(total, 2) if total > 0 else None