mirror of
https://github.com/maziggy/bambuddy.git
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lietschaend
f95b2acd7d
* feat: print files directly from project view (closes #930) Show printable files from linked library folders directly in the project detail page, with Print Now and Add to Queue buttons per file. Removes the detour through the File Manager for common reprint workflows.
1253 lines
52 KiB
Python
1253 lines
52 KiB
Python
import hashlib
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import json
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import logging
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import re
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import shutil
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import zipfile
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from datetime import date, datetime, time, timezone
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from pathlib import Path
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from defusedxml import ElementTree as ET
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from sqlalchemy import and_, or_, select, text
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from sqlalchemy.ext.asyncio import AsyncSession
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from backend.app.core.config import settings
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from backend.app.models.archive import PrintArchive
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from backend.app.models.filament import Filament
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from backend.app.models.printer import Printer
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logger = logging.getLogger(__name__)
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class ThreeMFParser:
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"""Parser for Bambu Lab 3MF files."""
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def __init__(self, file_path: Path, plate_number: int | None = None):
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self.file_path = file_path
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self.plate_number = plate_number # Which plate was printed (1, 2, 3, etc.)
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self.metadata: dict = {}
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def parse(self) -> dict:
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"""Extract metadata from 3MF file."""
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try:
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with zipfile.ZipFile(self.file_path, "r") as zf:
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self._parse_slice_info(zf) # Now sets self.plate_number from slice_info
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self._parse_project_settings(zf)
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self._parse_gcode_header(zf)
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self._parse_3dmodel(zf)
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self._extract_thumbnail(zf) # Uses correct plate_number for thumbnail
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# Enhance print_name with plate info if this is a multi-plate export
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plate_index = self.metadata.get("_plate_index")
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if plate_index and plate_index > 1:
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# Append plate number to distinguish from other plates
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existing_name = self.metadata.get("print_name", "")
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if existing_name and f"Plate {plate_index}" not in existing_name:
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self.metadata["print_name"] = f"{existing_name} - Plate {plate_index}"
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# ALWAYS prefer slice_info values - they contain ONLY filaments actually used in print
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# project_settings contains ALL configured filaments (AMS slots), not just used ones
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if self.metadata.get("_slice_filament_type"):
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self.metadata["filament_type"] = self.metadata["_slice_filament_type"]
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if self.metadata.get("_slice_filament_color"):
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self.metadata["filament_color"] = self.metadata["_slice_filament_color"]
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# Clean up internal keys
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self.metadata.pop("_slice_filament_type", None)
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self.metadata.pop("_slice_filament_color", None)
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self.metadata.pop("_plate_index", None)
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except Exception:
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pass # Return whatever metadata was extracted before the error
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return self.metadata
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def _parse_slice_info(self, zf: zipfile.ZipFile):
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"""Parse slice_info.config for print settings and printable objects."""
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try:
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if "Metadata/slice_info.config" in zf.namelist():
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content = zf.read("Metadata/slice_info.config").decode()
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root = ET.fromstring(content)
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# Extract printer_model_id from plate metadata
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# Format: <plate><metadata key="printer_model_id" value="C11" /></plate>
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for meta in root.findall(".//metadata"):
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key = meta.get("key")
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value = meta.get("value")
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if key == "printer_model_id" and value:
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from backend.app.utils.printer_models import normalize_printer_model_id
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normalized = normalize_printer_model_id(value)
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if normalized:
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self.metadata["sliced_for_model"] = normalized
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break
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# Find the plate element (single-plate exports only have one plate)
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plate = root.find(".//plate")
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if plate is not None:
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# Extract metadata from plate element
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for meta in plate.findall("metadata"):
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key = meta.get("key")
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value = meta.get("value")
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if key == "index" and value:
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# Extract plate index - this tells us which plate was exported
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try:
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extracted_index = int(value)
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# Set plate_number if not already set from filename
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if not self.plate_number:
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self.plate_number = extracted_index
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# Store in metadata for print_name generation
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self.metadata["_plate_index"] = extracted_index
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except ValueError:
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pass # Skip non-numeric plate index
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elif key == "prediction" and value:
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self.metadata["print_time_seconds"] = int(value)
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elif key == "weight" and value:
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self.metadata["filament_used_grams"] = float(value)
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# Extract printable objects for skip object functionality
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# Objects are stored as <object identify_id="123" name="Part1" skipped="false" />
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printable_objects = {}
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for obj in plate.findall("object"):
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identify_id = obj.get("identify_id")
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name = obj.get("name")
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skipped = obj.get("skipped", "false")
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# Only include objects that are not pre-skipped
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if identify_id and name and skipped.lower() != "true":
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try:
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printable_objects[int(identify_id)] = name
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except ValueError:
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pass # Skip objects with non-numeric identify_id
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if printable_objects:
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self.metadata["printable_objects"] = printable_objects
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# Get filament info from filaments ACTUALLY USED in the print
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# slice_info has <filament id="1" type="PLA" color="#FFFFFF" used_g="100" />
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# Only include filaments where used_g > 0
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filaments = root.findall(".//filament")
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if filaments:
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# Collect unique filament types and colors for filaments that are actually used
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types = []
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colors = []
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for f in filaments:
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# Check if this filament is actually used in the print
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used_g = f.get("used_g", "0")
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try:
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used_amount = float(used_g)
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except (ValueError, TypeError):
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used_amount = 0
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# Only include if used_g > 0 (filament is actually consumed)
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if used_amount > 0:
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ftype = f.get("type")
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fcolor = f.get("color")
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if ftype and ftype not in types:
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types.append(ftype)
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if fcolor and fcolor not in colors:
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colors.append(fcolor)
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if types:
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self.metadata["_slice_filament_type"] = ", ".join(types)
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if colors:
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self.metadata["_slice_filament_color"] = ",".join(colors)
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# Collect per-slot filament usage for tracking & notifications
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filament_slots = []
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for f in filaments:
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slot_id = f.get("id")
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used_g_str = f.get("used_g", "0")
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try:
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used_g = float(used_g_str)
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except (ValueError, TypeError):
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used_g = 0
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if used_g > 0 and slot_id:
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filament_slots.append(
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{
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"slot_id": int(slot_id),
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"used_g": round(used_g, 2),
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"type": f.get("type", ""),
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"color": f.get("color", ""),
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}
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)
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if filament_slots:
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self.metadata["filament_slots"] = filament_slots
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except Exception:
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pass # Skip unparseable slice_info metadata
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def _parse_project_settings(self, zf: zipfile.ZipFile):
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"""Parse project settings for print configuration."""
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try:
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if "Metadata/project_settings.config" in zf.namelist():
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content = zf.read("Metadata/project_settings.config").decode()
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try:
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data = json.loads(content)
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self._extract_filament_info(data)
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self._extract_print_settings(data)
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except json.JSONDecodeError:
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pass # Skip malformed project_settings JSON
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except Exception:
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pass # Skip unreadable project settings file
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def _parse_gcode_header(self, zf: zipfile.ZipFile):
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"""Parse G-code file header for total layer count and printer model."""
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try:
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# Look for plate_1.gcode or similar
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gcode_files = [f for f in zf.namelist() if f.endswith(".gcode")]
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if not gcode_files:
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return
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# Read first 4KB of G-code (header contains metadata)
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gcode_path = gcode_files[0]
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with zf.open(gcode_path) as f:
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header = f.read(4096).decode("utf-8", errors="ignore")
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# Look for "; total layer number: XX" pattern
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match = re.search(r";\s*total\s+layer\s+number[:\s]+(\d+)", header, re.IGNORECASE)
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if match:
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self.metadata["total_layers"] = int(match.group(1))
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# Look for printer_model in gcode header (fallback if not found in slice_info)
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# Format: "; printer_model = Bambu Lab X1 Carbon" or "; printer_model = X1C"
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if "sliced_for_model" not in self.metadata:
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match = re.search(r";\s*printer_model\s*=\s*(.+)", header, re.IGNORECASE)
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if match:
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from backend.app.utils.printer_models import normalize_printer_model
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raw_model = match.group(1).strip()
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self.metadata["sliced_for_model"] = normalize_printer_model(raw_model)
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except Exception:
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pass # G-code header parsing is best-effort; metadata may come from other sources
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def _extract_filament_info(self, data: dict):
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"""Extract filament info, preferring non-support filaments."""
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try:
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filament_types = data.get("filament_type", [])
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filament_colors = data.get("filament_colour", [])
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filament_is_support = data.get("filament_is_support", [])
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if not filament_types:
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return
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# Collect all non-support filaments
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non_support_types = []
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non_support_colors = []
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for i, ftype in enumerate(filament_types):
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is_support = filament_is_support[i] if i < len(filament_is_support) else "0"
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if is_support == "0":
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if ftype and ftype not in non_support_types:
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non_support_types.append(ftype)
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if i < len(filament_colors) and filament_colors[i]:
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color = filament_colors[i]
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if color not in non_support_colors:
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non_support_colors.append(color)
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# Fallback to first filament if all are support
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if not non_support_types and filament_types:
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non_support_types = [filament_types[0]]
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if not non_support_colors and filament_colors:
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non_support_colors = [filament_colors[0]]
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# Store filament type(s)
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if non_support_types:
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self.metadata["filament_type"] = ", ".join(non_support_types)
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# Store all colors as comma-separated (for multi-color display)
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if non_support_colors:
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self.metadata["filament_color"] = ",".join(non_support_colors)
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except Exception:
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pass # Filament info is optional; fall back to slice_info values
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def _extract_print_settings(self, data: dict):
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"""Extract print settings from JSON config."""
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try:
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# Layer height - usually an array, get first value
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if "layer_height" in data:
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val = data["layer_height"]
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if isinstance(val, list) and val:
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self.metadata["layer_height"] = float(val[0])
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elif isinstance(val, (int, float, str)):
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self.metadata["layer_height"] = float(val)
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# Nozzle diameter
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if "nozzle_diameter" in data:
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val = data["nozzle_diameter"]
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if isinstance(val, list) and val:
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self.metadata["nozzle_diameter"] = float(val[0])
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elif isinstance(val, (int, float, str)):
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self.metadata["nozzle_diameter"] = float(val)
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# Bed temperature - first layer or regular
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for key in ["bed_temperature_initial_layer", "bed_temperature"]:
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if key in data:
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val = data[key]
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if isinstance(val, list) and val:
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self.metadata["bed_temperature"] = int(float(val[0]))
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elif isinstance(val, (int, float, str)):
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self.metadata["bed_temperature"] = int(float(val))
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break
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# Nozzle temperature
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for key in ["nozzle_temperature_initial_layer", "nozzle_temperature"]:
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if key in data:
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val = data[key]
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if isinstance(val, list) and val:
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self.metadata["nozzle_temperature"] = int(float(val[0]))
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elif isinstance(val, (int, float, str)):
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self.metadata["nozzle_temperature"] = int(float(val))
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break
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# Printer model (extract and normalize)
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if "printer_model" in data:
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from backend.app.utils.printer_models import normalize_printer_model
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self.metadata["sliced_for_model"] = normalize_printer_model(data["printer_model"])
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except Exception:
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pass # Print settings are optional; missing values are left unset
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def _extract_settings_from_content(self, content: str):
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"""Extract print settings from config content."""
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settings_map = {
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"layer_height": ("layer_height", float),
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"nozzle_diameter": ("nozzle_diameter", float),
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"bed_temperature": ("bed_temperature", int),
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"nozzle_temperature": ("nozzle_temperature", int),
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}
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for key, (search_key, converter) in settings_map.items():
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if key not in self.metadata:
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try:
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# Try JSON format
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if f'"{search_key}"' in content:
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start = content.find(f'"{search_key}"')
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value_start = content.find(":", start) + 1
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value_end = content.find(",", value_start)
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if value_end == -1:
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value_end = content.find("}", value_start)
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value = content[value_start:value_end].strip().strip('"')
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self.metadata[key] = converter(value)
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except (ValueError, TypeError):
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pass # Skip settings with unconvertible values
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def _parse_3dmodel(self, zf: zipfile.ZipFile):
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"""Parse 3D/3dmodel.model for MakerWorld metadata."""
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try:
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model_path = "3D/3dmodel.model"
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if model_path not in zf.namelist():
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return
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content = zf.read(model_path).decode("utf-8", errors="ignore")
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# Parse XML metadata elements
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# MakerWorld adds metadata like: <metadata name="Designer">username</metadata>
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metadata_pattern = r'<metadata\s+name="([^"]+)"[^>]*>([^<]*)</metadata>'
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matches = re.findall(metadata_pattern, content)
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makerworld_fields = {}
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for name, value in matches:
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makerworld_fields[name] = value.strip()
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# Check for direct MakerWorld URL in content
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url_pattern = r'https?://makerworld\.com/[^\s<>"\']+/models/(\d+)'
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url_match = re.search(url_pattern, content)
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if url_match:
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self.metadata["makerworld_url"] = url_match.group(0)
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self.metadata["makerworld_model_id"] = url_match.group(1)
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# Extract model ID from DSM reference in image URLs
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# Format: https://makerworld.bblmw.com/makerworld/model/DSM00000001275614/...
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# The numeric part (1275614) is the MakerWorld model ID
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if "makerworld_url" not in self.metadata:
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dsm_pattern = r"DSM0+(\d+)"
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dsm_match = re.search(dsm_pattern, content)
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if dsm_match:
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model_id = dsm_match.group(1)
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self.metadata["makerworld_url"] = f"https://makerworld.com/en/models/{model_id}"
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self.metadata["makerworld_model_id"] = model_id
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# Store designer info
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if "Designer" in makerworld_fields:
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self.metadata["designer"] = makerworld_fields["Designer"]
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if "Title" in makerworld_fields:
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self.metadata["print_name"] = makerworld_fields["Title"]
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except Exception:
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pass # MakerWorld/3dmodel metadata is optional
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def _extract_thumbnail(self, zf: zipfile.ZipFile):
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"""Extract thumbnail image from 3MF.
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If a plate_number was specified, try to use that plate's thumbnail first.
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"""
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thumbnail_paths = []
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# If a specific plate was printed, try that thumbnail first
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if self.plate_number:
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thumbnail_paths.append(f"Metadata/plate_{self.plate_number}.png")
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# Fallback to default paths
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thumbnail_paths.extend(
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[
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"Metadata/plate_1.png",
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"Metadata/thumbnail.png",
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"Metadata/model_thumbnail.png",
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]
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)
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for thumb_path in thumbnail_paths:
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if thumb_path in zf.namelist():
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self.metadata["_thumbnail_data"] = zf.read(thumb_path)
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self.metadata["_thumbnail_ext"] = ".png"
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break
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def extract_printable_objects_from_3mf(
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data: bytes, plate_number: int | None = None, include_positions: bool = False
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) -> dict[int, str] | dict[int, dict] | tuple[dict[int, dict], list | None]:
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"""Extract printable objects from 3MF file bytes.
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This is a lightweight function used during print start to get the list
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of objects that can be skipped.
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Args:
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data: Raw bytes of the 3MF file
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plate_number: Which plate was printed (1-based), or None for first plate
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include_positions: If True, return tuple of (objects dict, bbox_all)
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Returns:
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If include_positions=False: Dictionary mapping identify_id (int) to object name (str)
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If include_positions=True: Tuple of (dict mapping identify_id to {name, x, y}, bbox_all list or None)
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"""
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from io import BytesIO
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printable_objects: dict = {}
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bbox_all: list | None = None
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try:
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with zipfile.ZipFile(BytesIO(data), "r") as zf:
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if "Metadata/slice_info.config" not in zf.namelist():
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return printable_objects
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content = zf.read("Metadata/slice_info.config").decode()
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root = ET.fromstring(content)
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# Find the correct plate
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if plate_number:
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plate = root.find(f".//plate[@plate_idx='{plate_number}']")
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if plate is None:
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plate = root.find(".//plate")
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else:
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plate = root.find(".//plate")
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if plate is None:
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return printable_objects
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# Get actual plate index from metadata (sliced files only have one plate)
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plate_idx = plate_number or 1
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for meta in plate.findall("metadata"):
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if meta.get("key") == "index":
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try:
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plate_idx = int(meta.get("value", "1"))
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except ValueError:
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pass # Use default plate_idx if value is non-numeric
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break
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|
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# Load position data from plate_N.json if we need positions
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# Build a lookup by name - use list to handle duplicate names
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bbox_by_name: dict[str, list[list]] = {}
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if include_positions:
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plate_json_path = f"Metadata/plate_{plate_idx}.json"
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if plate_json_path in zf.namelist():
|
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try:
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plate_json = json.loads(zf.read(plate_json_path).decode())
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# Get bbox_all - the bounding box of all objects (used for image bounds)
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bbox_all = plate_json.get("bbox_all")
|
|
for bbox_obj in plate_json.get("bbox_objects", []):
|
|
obj_name = bbox_obj.get("name")
|
|
bbox = bbox_obj.get("bbox", [])
|
|
if obj_name and len(bbox) >= 4:
|
|
if obj_name not in bbox_by_name:
|
|
bbox_by_name[obj_name] = []
|
|
bbox_by_name[obj_name].append(bbox)
|
|
except (json.JSONDecodeError, KeyError):
|
|
pass # Position data is optional; objects will lack x/y coordinates
|
|
|
|
# Extract objects from slice_info.config
|
|
for obj in plate.findall("object"):
|
|
identify_id = obj.get("identify_id")
|
|
name = obj.get("name")
|
|
skipped = obj.get("skipped", "false")
|
|
|
|
if identify_id and name and skipped.lower() != "true":
|
|
try:
|
|
obj_id = int(identify_id)
|
|
if include_positions:
|
|
x, y = None, None
|
|
# Match by name - pop first bbox to handle duplicates
|
|
bboxes = bbox_by_name.get(name)
|
|
if bboxes:
|
|
bbox = bboxes.pop(0)
|
|
# Calculate center from bbox [x_min, y_min, x_max, y_max]
|
|
x = (bbox[0] + bbox[2]) / 2
|
|
y = (bbox[1] + bbox[3]) / 2
|
|
printable_objects[obj_id] = {"name": name, "x": x, "y": y}
|
|
else:
|
|
printable_objects[obj_id] = name
|
|
except ValueError:
|
|
pass # Skip objects with non-numeric identify_id
|
|
|
|
except Exception:
|
|
pass # Return empty dict if 3MF is corrupt or unreadable
|
|
|
|
if include_positions:
|
|
return printable_objects, bbox_all
|
|
return printable_objects
|
|
|
|
|
|
class ProjectPageParser:
|
|
"""Parser for extracting project page data from Bambu Lab 3MF files."""
|
|
|
|
def __init__(self, file_path: Path):
|
|
self.file_path = file_path
|
|
|
|
def parse(self, archive_id: int) -> dict:
|
|
"""Extract project page metadata and images from 3MF file."""
|
|
import html
|
|
|
|
result = {
|
|
"title": None,
|
|
"description": None,
|
|
"designer": None,
|
|
"designer_user_id": None,
|
|
"license": None,
|
|
"copyright": None,
|
|
"creation_date": None,
|
|
"modification_date": None,
|
|
"origin": None,
|
|
"profile_title": None,
|
|
"profile_description": None,
|
|
"profile_cover": None,
|
|
"profile_user_id": None,
|
|
"profile_user_name": None,
|
|
"design_model_id": None,
|
|
"design_profile_id": None,
|
|
"design_region": None,
|
|
"model_pictures": [],
|
|
"profile_pictures": [],
|
|
"thumbnails": [],
|
|
}
|
|
|
|
try:
|
|
with zipfile.ZipFile(self.file_path, "r") as zf:
|
|
# Parse 3D/3dmodel.model for metadata
|
|
model_path = "3D/3dmodel.model"
|
|
if model_path in zf.namelist():
|
|
content = zf.read(model_path).decode("utf-8", errors="ignore")
|
|
|
|
# Extract metadata elements using regex
|
|
# Format: <metadata name="Key">Value</metadata> or <metadata name="Key" />
|
|
metadata_pattern = r'<metadata\s+name="([^"]+)"[^>]*>([^<]*)</metadata>'
|
|
matches = re.findall(metadata_pattern, content)
|
|
|
|
field_mapping = {
|
|
"Title": "title",
|
|
"Description": "description",
|
|
"Designer": "designer",
|
|
"DesignerUserId": "designer_user_id",
|
|
"License": "license",
|
|
"Copyright": "copyright",
|
|
"CreationDate": "creation_date",
|
|
"ModificationDate": "modification_date",
|
|
"Origin": "origin",
|
|
"ProfileTitle": "profile_title",
|
|
"ProfileDescription": "profile_description",
|
|
"ProfileCover": "profile_cover",
|
|
"ProfileUserId": "profile_user_id",
|
|
"ProfileUserName": "profile_user_name",
|
|
"DesignModelId": "design_model_id",
|
|
"DesignProfileId": "design_profile_id",
|
|
"DesignRegion": "design_region",
|
|
}
|
|
|
|
for name, value in matches:
|
|
if name in field_mapping:
|
|
# Decode HTML entities multiple times (content is often triple-encoded)
|
|
decoded = value.strip()
|
|
prev = None
|
|
while prev != decoded:
|
|
prev = decoded
|
|
decoded = html.unescape(decoded)
|
|
# Normalize non-breaking spaces to regular spaces
|
|
decoded = decoded.replace("\xa0", " ")
|
|
result[field_mapping[name]] = decoded if decoded else None
|
|
|
|
# List images in Auxiliaries folder
|
|
from urllib.parse import quote
|
|
|
|
for name in zf.namelist():
|
|
if name.startswith("Auxiliaries/Model Pictures/"):
|
|
filename = name.split("/")[-1]
|
|
if filename:
|
|
result["model_pictures"].append(
|
|
{
|
|
"name": filename,
|
|
"path": name,
|
|
"url": f"/api/v1/archives/{archive_id}/project-image/{quote(name, safe='')}",
|
|
}
|
|
)
|
|
elif name.startswith("Auxiliaries/Profile Pictures/"):
|
|
filename = name.split("/")[-1]
|
|
if filename:
|
|
result["profile_pictures"].append(
|
|
{
|
|
"name": filename,
|
|
"path": name,
|
|
"url": f"/api/v1/archives/{archive_id}/project-image/{quote(name, safe='')}",
|
|
}
|
|
)
|
|
elif name.startswith("Auxiliaries/.thumbnails/"):
|
|
filename = name.split("/")[-1]
|
|
if filename:
|
|
result["thumbnails"].append(
|
|
{
|
|
"name": filename,
|
|
"path": name,
|
|
"url": f"/api/v1/archives/{archive_id}/project-image/{quote(name, safe='')}",
|
|
}
|
|
)
|
|
|
|
except Exception as e:
|
|
result["_error"] = str(e)
|
|
|
|
return result
|
|
|
|
def get_image(self, image_path: str) -> tuple[bytes, str] | None:
|
|
"""Extract an image from the 3MF file.
|
|
|
|
Returns tuple of (image_data, content_type) or None if not found.
|
|
"""
|
|
try:
|
|
with zipfile.ZipFile(self.file_path, "r") as zf:
|
|
if image_path in zf.namelist():
|
|
data = zf.read(image_path)
|
|
# Determine content type from extension
|
|
ext = image_path.lower().split(".")[-1]
|
|
content_types = {
|
|
"png": "image/png",
|
|
"jpg": "image/jpeg",
|
|
"jpeg": "image/jpeg",
|
|
"webp": "image/webp",
|
|
"gif": "image/gif",
|
|
}
|
|
content_type = content_types.get(ext, "application/octet-stream")
|
|
return (data, content_type)
|
|
except Exception:
|
|
pass # Return None if image cannot be extracted from 3MF
|
|
return None
|
|
|
|
def update_metadata(self, updates: dict) -> bool:
|
|
"""Update project page metadata in the 3MF file.
|
|
|
|
Args:
|
|
updates: Dict with fields to update (title, description, designer, etc.)
|
|
|
|
Returns:
|
|
True if successful, False otherwise.
|
|
"""
|
|
import html
|
|
import tempfile
|
|
|
|
try:
|
|
# Read the 3MF file
|
|
with zipfile.ZipFile(self.file_path, "r") as zf_read:
|
|
# Find and read the 3dmodel.model file
|
|
model_path = "3D/3dmodel.model"
|
|
if model_path not in zf_read.namelist():
|
|
return False
|
|
|
|
content = zf_read.read(model_path).decode("utf-8")
|
|
|
|
# Update metadata fields
|
|
field_mapping = {
|
|
"title": "Title",
|
|
"description": "Description",
|
|
"designer": "Designer",
|
|
"license": "License",
|
|
"copyright": "Copyright",
|
|
"profile_title": "ProfileTitle",
|
|
"profile_description": "ProfileDescription",
|
|
}
|
|
|
|
for field, xml_name in field_mapping.items():
|
|
if field in updates and updates[field] is not None:
|
|
new_value = html.escape(updates[field])
|
|
# Replace existing metadata or we'd need to add it
|
|
pattern = rf'(<metadata\s+name="{xml_name}"[^>]*>)[^<]*(</metadata>)'
|
|
replacement = rf"\g<1>{new_value}\g<2>"
|
|
content = re.sub(pattern, replacement, content)
|
|
|
|
# Write to a temporary file first
|
|
with tempfile.NamedTemporaryFile(delete=False, suffix=".3mf") as tmp:
|
|
tmp_path = Path(tmp.name)
|
|
|
|
# Create new zip with updated content
|
|
with zipfile.ZipFile(tmp_path, "w", zipfile.ZIP_DEFLATED) as zf_write:
|
|
for item in zf_read.namelist():
|
|
if item == model_path:
|
|
zf_write.writestr(item, content.encode("utf-8"))
|
|
else:
|
|
zf_write.writestr(item, zf_read.read(item))
|
|
|
|
# Replace original file with updated one
|
|
shutil.move(tmp_path, self.file_path)
|
|
return True
|
|
|
|
except Exception:
|
|
# Clean up temp file if it exists
|
|
if "tmp_path" in locals() and tmp_path.exists():
|
|
tmp_path.unlink()
|
|
return False
|
|
|
|
|
|
class ArchiveService:
|
|
"""Service for archiving print jobs."""
|
|
|
|
def __init__(self, db: AsyncSession):
|
|
self.db = db
|
|
|
|
@staticmethod
|
|
def compute_file_hash(file_path: Path) -> str:
|
|
"""Compute SHA256 hash of a file for duplicate detection."""
|
|
sha256 = hashlib.sha256()
|
|
with open(file_path, "rb") as f:
|
|
# Read in chunks to handle large files
|
|
for chunk in iter(lambda: f.read(8192), b""):
|
|
sha256.update(chunk)
|
|
return sha256.hexdigest()
|
|
|
|
async def get_duplicate_hashes_and_names(self) -> tuple[set[str], set[tuple[str, str]]]:
|
|
"""Get all content hashes and (print name, hash) pairs that appear more than once.
|
|
|
|
For hashes: returns all hashes with > 1 archive (true duplicates).
|
|
For name/hash pairs: returns only pairs that have > 1 archive
|
|
(i.e., same file archived multiple times, not different files with same name).
|
|
|
|
Returns a tuple of (duplicate_hashes, duplicate_name_hash_pairs).
|
|
"""
|
|
from sqlalchemy import func
|
|
|
|
result = await self.db.execute(
|
|
select(PrintArchive.content_hash)
|
|
.where(PrintArchive.content_hash.isnot(None))
|
|
.group_by(PrintArchive.content_hash)
|
|
.having(func.count(PrintArchive.id) > 1)
|
|
)
|
|
duplicate_hashes = {row[0] for row in result.all()}
|
|
|
|
# Find print names that have multiple archives with the SAME hash
|
|
# This avoids marking different files with the same name as duplicates
|
|
result = await self.db.execute(
|
|
select(func.lower(PrintArchive.print_name), PrintArchive.content_hash)
|
|
.where(PrintArchive.print_name.isnot(None), PrintArchive.content_hash.isnot(None))
|
|
.group_by(func.lower(PrintArchive.print_name), PrintArchive.content_hash)
|
|
.having(func.count(PrintArchive.id) > 1)
|
|
)
|
|
duplicate_name_hash_pairs = {(row[0], row[1]) for row in result.all()}
|
|
|
|
return duplicate_hashes, duplicate_name_hash_pairs
|
|
|
|
async def find_duplicates(
|
|
self,
|
|
archive_id: int,
|
|
content_hash: str | None = None,
|
|
print_name: str | None = None,
|
|
makerworld_model_id: str | None = None,
|
|
) -> list[dict]:
|
|
"""Find duplicate archives based on hash or name matching.
|
|
|
|
Returns list of dicts with id, print_name, created_at, match_type.
|
|
"""
|
|
duplicates = []
|
|
|
|
# First, find exact matches by content hash
|
|
if content_hash:
|
|
result = await self.db.execute(
|
|
select(PrintArchive)
|
|
.where(
|
|
and_(
|
|
PrintArchive.content_hash == content_hash,
|
|
PrintArchive.id != archive_id,
|
|
)
|
|
)
|
|
.order_by(PrintArchive.created_at.desc())
|
|
.limit(10)
|
|
)
|
|
for archive in result.scalars().all():
|
|
duplicates.append(
|
|
{
|
|
"id": archive.id,
|
|
"print_name": archive.print_name,
|
|
"created_at": archive.created_at,
|
|
"match_type": "exact",
|
|
}
|
|
)
|
|
|
|
# Then, find similar matches by print name or MakerWorld ID
|
|
# Prefer strict name+hash matching when hash exists; fallback to name-only for legacy/manual
|
|
# archives that may not have a content_hash.
|
|
if print_name or makerworld_model_id:
|
|
conditions = [PrintArchive.id != archive_id]
|
|
|
|
name_conditions = []
|
|
if print_name:
|
|
if content_hash:
|
|
# Match if print names are similar AND have the same hash (same file)
|
|
name_conditions.append(
|
|
and_(PrintArchive.print_name.ilike(print_name), PrintArchive.content_hash == content_hash)
|
|
)
|
|
else:
|
|
# Fallback for archives without hash data: match by print name only.
|
|
name_conditions.append(PrintArchive.print_name.ilike(print_name))
|
|
if makerworld_model_id:
|
|
# Match by MakerWorld model ID stored in extra_data
|
|
from backend.app.core.db_dialect import is_sqlite
|
|
|
|
if is_sqlite():
|
|
from sqlalchemy import func
|
|
|
|
name_conditions.append(
|
|
func.json_extract(PrintArchive.extra_data, "$.makerworld_model_id") == str(makerworld_model_id)
|
|
)
|
|
else:
|
|
name_conditions.append(
|
|
text("(extra_data::jsonb->>'makerworld_model_id') = :mw_id").bindparams(
|
|
mw_id=str(makerworld_model_id)
|
|
)
|
|
)
|
|
|
|
if name_conditions:
|
|
conditions.append(or_(*name_conditions))
|
|
|
|
result = await self.db.execute(
|
|
select(PrintArchive).where(and_(*conditions)).order_by(PrintArchive.created_at.desc()).limit(10)
|
|
)
|
|
for archive in result.scalars().all():
|
|
# Don't add if already in duplicates (exact match)
|
|
if not any(d["id"] == archive.id for d in duplicates):
|
|
duplicates.append(
|
|
{
|
|
"id": archive.id,
|
|
"print_name": archive.print_name,
|
|
"created_at": archive.created_at,
|
|
"match_type": "similar",
|
|
}
|
|
)
|
|
|
|
return duplicates
|
|
|
|
async def archive_print(
|
|
self,
|
|
printer_id: int | None,
|
|
source_file: Path,
|
|
print_data: dict | None = None,
|
|
created_by_id: int | None = None,
|
|
original_filename: str | None = None,
|
|
project_id: int | None = None,
|
|
) -> PrintArchive | None:
|
|
"""Archive a 3MF file with metadata.
|
|
|
|
Args:
|
|
printer_id: ID of the printer (optional)
|
|
source_file: Path to the 3MF file
|
|
print_data: Print data from MQTT (optional)
|
|
created_by_id: User ID who created this archive (optional, for user tracking)
|
|
original_filename: Original human-readable filename (optional, for library files
|
|
stored with UUID names)
|
|
project_id: Project to associate this archive with (optional, set when triggered
|
|
from the project view)
|
|
"""
|
|
# Verify printer exists if specified
|
|
if printer_id is not None:
|
|
result = await self.db.execute(select(Printer).where(Printer.id == printer_id))
|
|
printer = result.scalar_one_or_none()
|
|
if not printer:
|
|
return None
|
|
|
|
# Create archive directory structure
|
|
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
|
|
display_stem = Path(original_filename).stem if original_filename else source_file.stem
|
|
archive_name = f"{timestamp}_{display_stem}"
|
|
# Use "unassigned" folder for archives without a printer
|
|
printer_folder = str(printer_id) if printer_id is not None else "unassigned"
|
|
archive_dir = settings.archive_dir / printer_folder / archive_name
|
|
archive_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
# Copy 3MF file
|
|
dest_file = archive_dir / source_file.name
|
|
shutil.copy2(source_file, dest_file)
|
|
|
|
# Compute content hash for duplicate detection
|
|
content_hash = self.compute_file_hash(dest_file)
|
|
|
|
# Extract plate number from filename (e.g., "plate_5" from "/data/Metadata/plate_5.gcode")
|
|
plate_number = None
|
|
if print_data:
|
|
filename = print_data.get("filename", "")
|
|
match = re.search(r"plate_(\d+)", filename)
|
|
if match:
|
|
plate_number = int(match.group(1))
|
|
|
|
# Parse 3MF metadata
|
|
parser = ThreeMFParser(dest_file, plate_number=plate_number)
|
|
metadata = parser.parse()
|
|
|
|
# Save thumbnail if present
|
|
thumbnail_path = None
|
|
if "_thumbnail_data" in metadata:
|
|
thumb_file = archive_dir / f"thumbnail{metadata['_thumbnail_ext']}"
|
|
thumb_file.write_bytes(metadata["_thumbnail_data"])
|
|
thumbnail_path = str(thumb_file.relative_to(settings.base_dir))
|
|
del metadata["_thumbnail_data"]
|
|
del metadata["_thumbnail_ext"]
|
|
|
|
# Merge with print data from MQTT
|
|
if print_data:
|
|
metadata["_print_data"] = print_data
|
|
|
|
# Determine status and timestamps
|
|
status = print_data.get("status", "completed") if print_data else "archived"
|
|
started_at = datetime.now(timezone.utc) if status == "printing" else None
|
|
completed_at = datetime.now(timezone.utc) if status in ("completed", "failed", "archived") else None
|
|
|
|
# Calculate cost based on filament usage and type
|
|
cost = None
|
|
filament_grams = metadata.get("filament_used_grams")
|
|
filament_type = metadata.get("filament_type")
|
|
if filament_grams and filament_type:
|
|
# For multi-material prints, use the first filament type for cost calculation
|
|
primary_type = filament_type.split(",")[0].strip()
|
|
# Look up filament cost_per_kg from database
|
|
filament_result = await self.db.execute(select(Filament).where(Filament.type == primary_type).limit(1))
|
|
filament = filament_result.scalar_one_or_none()
|
|
if filament:
|
|
cost = round((filament_grams / 1000) * filament.cost_per_kg, 2)
|
|
else:
|
|
# Use default filament cost from settings
|
|
from backend.app.api.routes.settings import get_setting
|
|
|
|
default_cost_setting = await get_setting(self.db, "default_filament_cost")
|
|
default_cost_per_kg = float(default_cost_setting) if default_cost_setting else 25.0
|
|
cost = round((filament_grams / 1000) * default_cost_per_kg, 2)
|
|
|
|
# Calculate quantity from printable objects count
|
|
# printable_objects is a dict of {identify_id: name} for non-skipped objects
|
|
quantity = 1 # Default to 1
|
|
printable_objects = metadata.get("printable_objects")
|
|
if printable_objects and isinstance(printable_objects, dict):
|
|
quantity = len(printable_objects)
|
|
logger.debug("Auto-detected %s parts from 3MF printable objects", quantity)
|
|
|
|
# Create archive record
|
|
archive = PrintArchive(
|
|
printer_id=printer_id,
|
|
filename=original_filename or source_file.name,
|
|
file_path=str(dest_file.relative_to(settings.base_dir)),
|
|
file_size=dest_file.stat().st_size,
|
|
content_hash=content_hash,
|
|
thumbnail_path=thumbnail_path,
|
|
print_name=metadata.get("print_name") or display_stem,
|
|
print_time_seconds=metadata.get("print_time_seconds"),
|
|
filament_used_grams=metadata.get("filament_used_grams"),
|
|
filament_type=metadata.get("filament_type"),
|
|
filament_color=metadata.get("filament_color"),
|
|
layer_height=metadata.get("layer_height"),
|
|
total_layers=metadata.get("total_layers"),
|
|
nozzle_diameter=metadata.get("nozzle_diameter"),
|
|
bed_temperature=metadata.get("bed_temperature"),
|
|
nozzle_temperature=metadata.get("nozzle_temperature"),
|
|
sliced_for_model=metadata.get("sliced_for_model"),
|
|
makerworld_url=metadata.get("makerworld_url"),
|
|
designer=metadata.get("designer"),
|
|
status=status,
|
|
started_at=started_at,
|
|
completed_at=completed_at,
|
|
cost=cost,
|
|
quantity=quantity,
|
|
extra_data=metadata,
|
|
created_by_id=created_by_id,
|
|
project_id=project_id,
|
|
)
|
|
|
|
self.db.add(archive)
|
|
await self.db.commit()
|
|
await self.db.refresh(archive)
|
|
|
|
return archive
|
|
|
|
async def get_archive(self, archive_id: int) -> PrintArchive | None:
|
|
"""Get an archive by ID with relationships loaded."""
|
|
from sqlalchemy.orm import selectinload
|
|
|
|
result = await self.db.execute(
|
|
select(PrintArchive)
|
|
.options(selectinload(PrintArchive.created_by), selectinload(PrintArchive.project))
|
|
.where(PrintArchive.id == archive_id)
|
|
)
|
|
return result.scalar_one_or_none()
|
|
|
|
async def update_archive_status(
|
|
self,
|
|
archive_id: int,
|
|
status: str,
|
|
completed_at: datetime | None = None,
|
|
failure_reason: str | None = None,
|
|
) -> bool:
|
|
"""Update the status of an archive."""
|
|
archive = await self.get_archive(archive_id)
|
|
if not archive:
|
|
return False
|
|
|
|
archive.status = status
|
|
if completed_at:
|
|
archive.completed_at = completed_at
|
|
if failure_reason:
|
|
archive.failure_reason = failure_reason
|
|
|
|
await self.db.commit()
|
|
return True
|
|
|
|
async def list_archives(
|
|
self,
|
|
printer_id: int | None = None,
|
|
project_id: int | None = None,
|
|
date_from: date | None = None,
|
|
date_to: date | None = None,
|
|
limit: int = 50,
|
|
offset: int = 0,
|
|
) -> list[PrintArchive]:
|
|
"""List archives with optional filtering."""
|
|
from sqlalchemy.orm import selectinload
|
|
|
|
query = (
|
|
select(PrintArchive)
|
|
.options(selectinload(PrintArchive.project), selectinload(PrintArchive.created_by))
|
|
.order_by(PrintArchive.created_at.desc())
|
|
)
|
|
|
|
if printer_id:
|
|
query = query.where(PrintArchive.printer_id == printer_id)
|
|
|
|
if project_id:
|
|
query = query.where(PrintArchive.project_id == project_id)
|
|
|
|
if date_from:
|
|
dt_from = datetime.combine(date_from, time.min, tzinfo=timezone.utc)
|
|
query = query.where(PrintArchive.created_at >= dt_from)
|
|
|
|
if date_to:
|
|
dt_to = datetime.combine(date_to, time.max, tzinfo=timezone.utc)
|
|
query = query.where(PrintArchive.created_at <= dt_to)
|
|
|
|
query = query.limit(limit).offset(offset)
|
|
result = await self.db.execute(query)
|
|
return list(result.scalars().all())
|
|
|
|
async def delete_archive(self, archive_id: int) -> bool:
|
|
"""Delete an archive and its files."""
|
|
archive = await self.get_archive(archive_id)
|
|
if not archive:
|
|
return False
|
|
|
|
# Resolve the directory to delete BEFORE committing the DB change
|
|
dir_to_delete: Path | None = None
|
|
|
|
if archive.file_path and archive.file_path.strip():
|
|
file_path = settings.base_dir / archive.file_path
|
|
if file_path.exists():
|
|
archive_dir = file_path.parent
|
|
|
|
# Safety check 1: archive_dir must be inside archive_dir
|
|
try:
|
|
archive_dir.resolve().relative_to(settings.archive_dir.resolve())
|
|
except ValueError:
|
|
logger.error(
|
|
f"SECURITY: Refusing to delete archive {archive_id} - "
|
|
f"path {archive_dir} is outside archive directory {settings.archive_dir}"
|
|
)
|
|
await self.db.delete(archive)
|
|
await self.db.commit()
|
|
return True
|
|
|
|
# Safety check 2: archive_dir must be at least 1 level deep inside archive_dir
|
|
try:
|
|
relative_path = archive_dir.resolve().relative_to(settings.archive_dir.resolve())
|
|
if len(relative_path.parts) < 1:
|
|
logger.error(
|
|
f"SECURITY: Refusing to delete archive {archive_id} - "
|
|
f"path {archive_dir} is not deep enough inside archive directory"
|
|
)
|
|
await self.db.delete(archive)
|
|
await self.db.commit()
|
|
return True
|
|
except ValueError:
|
|
pass # Already handled above
|
|
|
|
dir_to_delete = archive_dir
|
|
else:
|
|
logger.error(
|
|
f"SECURITY: Refusing to delete files for archive {archive_id} - "
|
|
f"file_path is empty or invalid: '{archive.file_path}'"
|
|
)
|
|
|
|
# Delete database record FIRST — if the commit fails (e.g. database locked
|
|
# during concurrent bulk deletes), the files stay on disk and nothing is lost.
|
|
await self.db.delete(archive)
|
|
await self.db.commit()
|
|
|
|
# Only delete files AFTER the DB commit succeeds to avoid orphaned records
|
|
if dir_to_delete:
|
|
shutil.rmtree(dir_to_delete, ignore_errors=True)
|
|
|
|
return True
|
|
|
|
async def attach_timelapse(
|
|
self,
|
|
archive_id: int,
|
|
timelapse_data: bytes,
|
|
filename: str = "timelapse.mp4",
|
|
) -> bool:
|
|
"""Attach a timelapse video to an archive.
|
|
|
|
Non-MP4 videos (e.g. AVI from P1S) are saved as-is and a background
|
|
task converts them to MP4 for browser compatibility.
|
|
"""
|
|
import asyncio
|
|
|
|
archive = await self.get_archive(archive_id)
|
|
if not archive:
|
|
return False
|
|
|
|
# Get archive directory
|
|
file_path = settings.base_dir / archive.file_path
|
|
archive_dir = file_path.parent
|
|
|
|
# Save timelapse - use thread pool to avoid blocking event loop
|
|
# (timelapse files can be 100MB+, sync write blocks for seconds)
|
|
timelapse_file = archive_dir / filename
|
|
await asyncio.to_thread(timelapse_file.write_bytes, timelapse_data)
|
|
|
|
# Update archive record
|
|
archive.timelapse_path = str(timelapse_file.relative_to(settings.base_dir))
|
|
await self.db.commit()
|
|
|
|
# For non-MP4 videos (e.g. AVI from P1S), kick off background conversion
|
|
if not filename.lower().endswith(".mp4"):
|
|
asyncio.create_task(
|
|
_convert_timelapse_to_mp4(archive_id, timelapse_file),
|
|
name=f"timelapse-convert-{archive_id}",
|
|
)
|
|
|
|
return True
|
|
|
|
|
|
async def _convert_timelapse_to_mp4(archive_id: int, source_path: Path) -> None:
|
|
"""Background task: convert non-MP4 timelapse (e.g. AVI from P1S) to MP4.
|
|
|
|
Runs with low CPU priority (-threads 1, nice) so it doesn't starve
|
|
other processes on resource-constrained devices like Raspberry Pi.
|
|
"""
|
|
import asyncio
|
|
|
|
from backend.app.core.database import async_session
|
|
from backend.app.services.camera import get_ffmpeg_path
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
ffmpeg = get_ffmpeg_path()
|
|
if not ffmpeg:
|
|
logger.info(
|
|
"FFmpeg not available, skipping timelapse conversion for archive %s (file saved as %s)",
|
|
archive_id,
|
|
source_path.suffix,
|
|
)
|
|
return
|
|
|
|
mp4_path = source_path.with_suffix(".mp4")
|
|
|
|
try:
|
|
cmd = [
|
|
ffmpeg,
|
|
"-y",
|
|
"-i",
|
|
str(source_path),
|
|
"-c:v",
|
|
"libx264",
|
|
"-preset",
|
|
"fast",
|
|
"-crf",
|
|
"23",
|
|
"-threads",
|
|
"1",
|
|
"-movflags",
|
|
"+faststart",
|
|
str(mp4_path),
|
|
]
|
|
|
|
# Try with nice for lower CPU priority (standard on Linux/macOS)
|
|
try:
|
|
process = await asyncio.create_subprocess_exec(
|
|
"nice",
|
|
"-n",
|
|
"19",
|
|
*cmd,
|
|
stdout=asyncio.subprocess.PIPE,
|
|
stderr=asyncio.subprocess.PIPE,
|
|
)
|
|
except FileNotFoundError:
|
|
# nice not available (e.g. Windows), run without
|
|
process = await asyncio.create_subprocess_exec(
|
|
*cmd,
|
|
stdout=asyncio.subprocess.PIPE,
|
|
stderr=asyncio.subprocess.PIPE,
|
|
)
|
|
|
|
_, stderr = await process.communicate()
|
|
|
|
if process.returncode != 0:
|
|
logger.warning(
|
|
"Timelapse conversion failed for archive %s: %s",
|
|
archive_id,
|
|
stderr.decode()[-500:],
|
|
)
|
|
if mp4_path.exists():
|
|
mp4_path.unlink()
|
|
return
|
|
|
|
# Update DB path to the new MP4 file
|
|
async with async_session() as db:
|
|
from backend.app.models.archive import PrintArchive
|
|
|
|
result = await db.execute(select(PrintArchive).where(PrintArchive.id == archive_id))
|
|
archive = result.scalar_one_or_none()
|
|
if archive:
|
|
archive.timelapse_path = str(mp4_path.relative_to(settings.base_dir))
|
|
await db.commit()
|
|
|
|
# Remove original non-MP4 file
|
|
if source_path.exists():
|
|
source_path.unlink()
|
|
|
|
logger.info(
|
|
"Converted timelapse to MP4 for archive %s (%s → %s)",
|
|
archive_id,
|
|
source_path.name,
|
|
mp4_path.name,
|
|
)
|
|
|
|
except Exception as e:
|
|
logger.warning("Timelapse conversion error for archive %s: %s", archive_id, e)
|
|
if mp4_path.exists():
|
|
mp4_path.unlink()
|