bambuddy/backend/app/services/archive.py

import hashlib
import json
import logging
import re
import shutil
import zipfile
from datetime import datetime
from pathlib import Path

from defusedxml import ElementTree as ET
from defusedxml.ElementTree import ParseError as XMLParseError
from sqlalchemy import and_, or_, select
from sqlalchemy.ext.asyncio import AsyncSession

from backend.app.core.config import settings
from backend.app.models.archive import PrintArchive
from backend.app.models.filament import Filament
from backend.app.models.printer import Printer

logger = logging.getLogger(__name__)


class ThreeMFParser:
    """Parser for Bambu Lab 3MF files."""

    def __init__(self, file_path: Path, plate_number: int | None = None):
        self.file_path = file_path
        self.plate_number = plate_number  # Which plate was printed (1, 2, 3, etc.)
        self.metadata: dict = {}

    def parse(self) -> dict:
        """Extract metadata from 3MF file."""
        try:
            with zipfile.ZipFile(self.file_path, "r") as zf:
                self._parse_slice_info(zf)  # Now sets self.plate_number from slice_info
                self._parse_project_settings(zf)
                self._parse_gcode_header(zf)
                self._parse_3dmodel(zf)
                self._extract_thumbnail(zf)  # Uses correct plate_number for thumbnail

                # Enhance print_name with plate info if this is a multi-plate export
                plate_index = self.metadata.get("_plate_index")
                if plate_index and plate_index > 1:
                    # Append plate number to distinguish from other plates
                    existing_name = self.metadata.get("print_name", "")
                    if existing_name and f"Plate {plate_index}" not in existing_name:
                        self.metadata["print_name"] = f"{existing_name} - Plate {plate_index}"

                # ALWAYS prefer slice_info values - they contain ONLY filaments actually used in print
                # project_settings contains ALL configured filaments (AMS slots), not just used ones
                if self.metadata.get("_slice_filament_type"):
                    self.metadata["filament_type"] = self.metadata["_slice_filament_type"]
                if self.metadata.get("_slice_filament_color"):
                    self.metadata["filament_color"] = self.metadata["_slice_filament_color"]

                # Clean up internal keys
                self.metadata.pop("_slice_filament_type", None)
                self.metadata.pop("_slice_filament_color", None)
                self.metadata.pop("_plate_index", None)
        except (KeyError, ValueError, zipfile.BadZipFile, XMLParseError, UnicodeDecodeError):
            pass  # Return whatever metadata was extracted before the error
        return self.metadata

    def _parse_slice_info(self, zf: zipfile.ZipFile):
        """Parse slice_info.config for print settings and printable objects."""
        try:
            if "Metadata/slice_info.config" in zf.namelist():
                content = zf.read("Metadata/slice_info.config").decode()
                root = ET.fromstring(content)

                # Extract printer_model_id from plate metadata
                # Format: <plate><metadata key="printer_model_id" value="C11" /></plate>
                for meta in root.findall(".//metadata"):
                    key = meta.get("key")
                    value = meta.get("value")
                    if key == "printer_model_id" and value:
                        from backend.app.utils.printer_models import normalize_printer_model_id

                        normalized = normalize_printer_model_id(value)
                        if normalized:
                            self.metadata["sliced_for_model"] = normalized
                        break

                # Find the plate element (single-plate exports only have one plate)
                plate = root.find(".//plate")

                if plate is not None:
                    # Extract metadata from plate element
                    for meta in plate.findall("metadata"):
                        key = meta.get("key")
                        value = meta.get("value")
                        if key == "index" and value:
                            # Extract plate index - this tells us which plate was exported
                            try:
                                extracted_index = int(value)
                                # Set plate_number if not already set from filename
                                if not self.plate_number:
                                    self.plate_number = extracted_index
                                # Store in metadata for print_name generation
                                self.metadata["_plate_index"] = extracted_index
                            except ValueError:
                                pass  # Skip non-numeric plate index
                        elif key == "prediction" and value:
                            self.metadata["print_time_seconds"] = int(value)
                        elif key == "weight" and value:
                            self.metadata["filament_used_grams"] = float(value)

                    # Extract printable objects for skip object functionality
                    # Objects are stored as <object identify_id="123" name="Part1" skipped="false" />
                    printable_objects = {}
                    for obj in plate.findall("object"):
                        identify_id = obj.get("identify_id")
                        name = obj.get("name")
                        skipped = obj.get("skipped", "false")

                        # Only include objects that are not pre-skipped
                        if identify_id and name and skipped.lower() != "true":
                            try:
                                printable_objects[int(identify_id)] = name
                            except ValueError:
                                pass  # Skip objects with non-numeric identify_id

                    if printable_objects:
                        self.metadata["printable_objects"] = printable_objects

                # Get filament info from filaments ACTUALLY USED in the print
                # slice_info has <filament id="1" type="PLA" color="#FFFFFF" used_g="100" />
                # Only include filaments where used_g > 0
                filaments = root.findall(".//filament")
                if filaments:
                    # Collect unique filament types and colors for filaments that are actually used
                    types = []
                    colors = []
                    for f in filaments:
                        # Check if this filament is actually used in the print
                        used_g = f.get("used_g", "0")
                        try:
                            used_amount = float(used_g)
                        except (ValueError, TypeError):
                            used_amount = 0

                        # Only include if used_g > 0 (filament is actually consumed)
                        if used_amount > 0:
                            ftype = f.get("type")
                            fcolor = f.get("color")
                            if ftype and ftype not in types:
                                types.append(ftype)
                            if fcolor and fcolor not in colors:
                                colors.append(fcolor)

                    if types:
                        self.metadata["_slice_filament_type"] = ", ".join(types)
                    if colors:
                        self.metadata["_slice_filament_color"] = ",".join(colors)
        except (KeyError, ValueError, XMLParseError, UnicodeDecodeError):
            pass  # Skip unparseable slice_info metadata

    def _parse_project_settings(self, zf: zipfile.ZipFile):
        """Parse project settings for print configuration."""
        try:
            if "Metadata/project_settings.config" in zf.namelist():
                content = zf.read("Metadata/project_settings.config").decode()
                try:
                    data = json.loads(content)
                    self._extract_filament_info(data)
                    self._extract_print_settings(data)
                except json.JSONDecodeError:
                    pass  # Skip malformed project_settings JSON
        except (KeyError, ValueError, UnicodeDecodeError):
            pass  # Skip unreadable project settings file

    def _parse_gcode_header(self, zf: zipfile.ZipFile):
        """Parse G-code file header for total layer count and printer model."""
        try:
            # Look for plate_1.gcode or similar
            gcode_files = [f for f in zf.namelist() if f.endswith(".gcode")]
            if not gcode_files:
                return

            # Read first 4KB of G-code (header contains metadata)
            gcode_path = gcode_files[0]
            with zf.open(gcode_path) as f:
                header = f.read(4096).decode("utf-8", errors="ignore")

            # Look for "; total layer number: XX" pattern
            match = re.search(r";\s*total\s+layer\s+number[:\s]+(\d+)", header, re.IGNORECASE)
            if match:
                self.metadata["total_layers"] = int(match.group(1))

            # Look for printer_model in gcode header (fallback if not found in slice_info)
            # Format: "; printer_model = Bambu Lab X1 Carbon" or "; printer_model = X1C"
            if "sliced_for_model" not in self.metadata:
                match = re.search(r";\s*printer_model\s*=\s*(.+)", header, re.IGNORECASE)
                if match:
                    from backend.app.utils.printer_models import normalize_printer_model

                    raw_model = match.group(1).strip()
                    self.metadata["sliced_for_model"] = normalize_printer_model(raw_model)
        except (KeyError, ValueError, UnicodeDecodeError):
            pass  # G-code header parsing is best-effort; metadata may come from other sources

    def _extract_filament_info(self, data: dict):
        """Extract filament info, preferring non-support filaments."""
        try:
            filament_types = data.get("filament_type", [])
            filament_colors = data.get("filament_colour", [])
            filament_is_support = data.get("filament_is_support", [])

            if not filament_types:
                return

            # Collect all non-support filaments
            non_support_types = []
            non_support_colors = []

            for i, ftype in enumerate(filament_types):
                is_support = filament_is_support[i] if i < len(filament_is_support) else "0"
                if is_support == "0":
                    if ftype and ftype not in non_support_types:
                        non_support_types.append(ftype)
                    if i < len(filament_colors) and filament_colors[i]:
                        color = filament_colors[i]
                        if color not in non_support_colors:
                            non_support_colors.append(color)

            # Fallback to first filament if all are support
            if not non_support_types and filament_types:
                non_support_types = [filament_types[0]]
            if not non_support_colors and filament_colors:
                non_support_colors = [filament_colors[0]]

            # Store filament type(s)
            if non_support_types:
                self.metadata["filament_type"] = ", ".join(non_support_types)

            # Store all colors as comma-separated (for multi-color display)
            if non_support_colors:
                self.metadata["filament_color"] = ",".join(non_support_colors)

        except (KeyError, ValueError, TypeError, IndexError):
            pass  # Filament info is optional; fall back to slice_info values

    def _extract_print_settings(self, data: dict):
        """Extract print settings from JSON config."""
        try:
            # Layer height - usually an array, get first value
            if "layer_height" in data:
                val = data["layer_height"]
                if isinstance(val, list) and val:
                    self.metadata["layer_height"] = float(val[0])
                elif isinstance(val, (int, float, str)):
                    self.metadata["layer_height"] = float(val)

            # Nozzle diameter
            if "nozzle_diameter" in data:
                val = data["nozzle_diameter"]
                if isinstance(val, list) and val:
                    self.metadata["nozzle_diameter"] = float(val[0])
                elif isinstance(val, (int, float, str)):
                    self.metadata["nozzle_diameter"] = float(val)

            # Bed temperature - first layer or regular
            for key in ["bed_temperature_initial_layer", "bed_temperature"]:
                if key in data:
                    val = data[key]
                    if isinstance(val, list) and val:
                        self.metadata["bed_temperature"] = int(float(val[0]))
                    elif isinstance(val, (int, float, str)):
                        self.metadata["bed_temperature"] = int(float(val))
                    break

            # Nozzle temperature
            for key in ["nozzle_temperature_initial_layer", "nozzle_temperature"]:
                if key in data:
                    val = data[key]
                    if isinstance(val, list) and val:
                        self.metadata["nozzle_temperature"] = int(float(val[0]))
                    elif isinstance(val, (int, float, str)):
                        self.metadata["nozzle_temperature"] = int(float(val))
                    break

            # Printer model (extract and normalize)
            if "printer_model" in data:
                from backend.app.utils.printer_models import normalize_printer_model

                self.metadata["sliced_for_model"] = normalize_printer_model(data["printer_model"])
        except (KeyError, ValueError, TypeError):
            pass  # Print settings are optional; missing values are left unset

    def _extract_settings_from_content(self, content: str):
        """Extract print settings from config content."""
        settings_map = {
            "layer_height": ("layer_height", float),
            "nozzle_diameter": ("nozzle_diameter", float),
            "bed_temperature": ("bed_temperature", int),
            "nozzle_temperature": ("nozzle_temperature", int),
        }

        for key, (search_key, converter) in settings_map.items():
            if key not in self.metadata:
                try:
                    # Try JSON format
                    if f'"{search_key}"' in content:
                        start = content.find(f'"{search_key}"')
                        value_start = content.find(":", start) + 1
                        value_end = content.find(",", value_start)
                        if value_end == -1:
                            value_end = content.find("}", value_start)
                        value = content[value_start:value_end].strip().strip('"')
                        self.metadata[key] = converter(value)
                except (ValueError, TypeError):
                    pass  # Skip settings with unconvertible values

    def _parse_3dmodel(self, zf: zipfile.ZipFile):
        """Parse 3D/3dmodel.model for MakerWorld metadata."""
        try:
            model_path = "3D/3dmodel.model"
            if model_path not in zf.namelist():
                return

            content = zf.read(model_path).decode("utf-8", errors="ignore")

            # Parse XML metadata elements
            # MakerWorld adds metadata like: <metadata name="Designer">username</metadata>
            metadata_pattern = r'<metadata\s+name="([^"]+)"[^>]*>([^<]*)</metadata>'
            matches = re.findall(metadata_pattern, content)

            makerworld_fields = {}
            for name, value in matches:
                makerworld_fields[name] = value.strip()

            # Check for direct MakerWorld URL in content
            url_pattern = r'https?://makerworld\.com/[^\s<>"\']+/models/(\d+)'
            url_match = re.search(url_pattern, content)
            if url_match:
                self.metadata["makerworld_url"] = url_match.group(0)
                self.metadata["makerworld_model_id"] = url_match.group(1)

            # Extract model ID from DSM reference in image URLs
            # Format: https://makerworld.bblmw.com/makerworld/model/DSM00000001275614/...
            # The numeric part (1275614) is the MakerWorld model ID
            if "makerworld_url" not in self.metadata:
                dsm_pattern = r"DSM0+(\d+)"
                dsm_match = re.search(dsm_pattern, content)
                if dsm_match:
                    model_id = dsm_match.group(1)
                    self.metadata["makerworld_url"] = f"https://makerworld.com/en/models/{model_id}"
                    self.metadata["makerworld_model_id"] = model_id

            # Store designer info
            if "Designer" in makerworld_fields:
                self.metadata["designer"] = makerworld_fields["Designer"]
            if "Title" in makerworld_fields:
                self.metadata["print_name"] = makerworld_fields["Title"]

        except (KeyError, ValueError, UnicodeDecodeError):
            pass  # MakerWorld/3dmodel metadata is optional

    def _extract_thumbnail(self, zf: zipfile.ZipFile):
        """Extract thumbnail image from 3MF.

        If a plate_number was specified, try to use that plate's thumbnail first.
        """
        thumbnail_paths = []

        # If a specific plate was printed, try that thumbnail first
        if self.plate_number:
            thumbnail_paths.append(f"Metadata/plate_{self.plate_number}.png")

        # Fallback to default paths
        thumbnail_paths.extend(
            [
                "Metadata/plate_1.png",
                "Metadata/thumbnail.png",
                "Metadata/model_thumbnail.png",
            ]
        )

        for thumb_path in thumbnail_paths:
            if thumb_path in zf.namelist():
                self.metadata["_thumbnail_data"] = zf.read(thumb_path)
                self.metadata["_thumbnail_ext"] = ".png"
                break


def extract_printable_objects_from_3mf(
    data: bytes, plate_number: int | None = None, include_positions: bool = False
) -> dict[int, str] | dict[int, dict] | tuple[dict[int, dict], list | None]:
    """Extract printable objects from 3MF file bytes.

    This is a lightweight function used during print start to get the list
    of objects that can be skipped.

    Args:
        data: Raw bytes of the 3MF file
        plate_number: Which plate was printed (1-based), or None for first plate
        include_positions: If True, return tuple of (objects dict, bbox_all)

    Returns:
        If include_positions=False: Dictionary mapping identify_id (int) to object name (str)
        If include_positions=True: Tuple of (dict mapping identify_id to {name, x, y}, bbox_all list or None)
    """
    from io import BytesIO

    printable_objects: dict = {}
    bbox_all: list | None = None

    try:
        with zipfile.ZipFile(BytesIO(data), "r") as zf:
            if "Metadata/slice_info.config" not in zf.namelist():
                return printable_objects

            content = zf.read("Metadata/slice_info.config").decode()
            root = ET.fromstring(content)

            # Find the correct plate
            if plate_number:
                plate = root.find(f".//plate[@plate_idx='{plate_number}']")
                if plate is None:
                    plate = root.find(".//plate")
            else:
                plate = root.find(".//plate")

            if plate is None:
                return printable_objects

            # Get actual plate index from metadata (sliced files only have one plate)
            plate_idx = plate_number or 1
            for meta in plate.findall("metadata"):
                if meta.get("key") == "index":
                    try:
                        plate_idx = int(meta.get("value", "1"))
                    except ValueError:
                        pass  # Use default plate_idx if value is non-numeric
                    break

            # Load position data from plate_N.json if we need positions
            # Build a lookup by name - use list to handle duplicate names
            bbox_by_name: dict[str, list[list]] = {}
            if include_positions:
                plate_json_path = f"Metadata/plate_{plate_idx}.json"
                if plate_json_path in zf.namelist():
                    try:
                        plate_json = json.loads(zf.read(plate_json_path).decode())
                        # Get bbox_all - the bounding box of all objects (used for image bounds)
                        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 (KeyError, ValueError, zipfile.BadZipFile, XMLParseError, UnicodeDecodeError):
        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 (KeyError, ValueError, zipfile.BadZipFile, UnicodeDecodeError) 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 (KeyError, zipfile.BadZipFile, OSError):
            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 (zipfile.BadZipFile, OSError, UnicodeDecodeError, KeyError, ValueError):
            # 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(self) -> set[str]:
        """Get all content hashes that appear more than once.

        Returns a set of hashes that have duplicates.
        """
        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)
        )
        return {row[0] for row in result.all()}

    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
        if print_name or makerworld_model_id:
            conditions = [PrintArchive.id != archive_id]

            name_conditions = []
            if print_name:
                # Match if print names are similar (ignoring case)
                name_conditions.append(PrintArchive.print_name.ilike(print_name))
            if makerworld_model_id:
                # Match by MakerWorld model ID stored in extra_data
                # Use json_extract for SQLite compatibility (astext is PostgreSQL-only)
                from sqlalchemy import func

                name_conditions.append(
                    func.json_extract(PrintArchive.extra_data, "$.makerworld_model_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,
    ) -> 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)
        """
        # 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")
        archive_name = f"{timestamp}_{source_file.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() if status == "printing" else None
        completed_at = datetime.now() 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=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 source_file.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,
        )

        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 add_reprint_cost(self, archive_id: int) -> bool:
        """Add cost for a reprint to the existing archive cost."""
        archive = await self.get_archive(archive_id)
        if not archive:
            return False

        if not archive.filament_used_grams or not archive.filament_type:
            return False

        # Calculate cost based on filament type or default
        from backend.app.api.routes.settings import get_setting

        primary_type = archive.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_per_kg = filament.cost_per_kg
        else:
            # Use default filament cost from settings
            default_cost_setting = await get_setting(self.db, "default_filament_cost")
            cost_per_kg = float(default_cost_setting) if default_cost_setting else 25.0

        additional_cost = round((archive.filament_used_grams / 1000) * cost_per_kg, 2)

        # Add to existing cost (or set if None)
        if archive.cost is None:
            archive.cost = additional_cost
        else:
            archive.cost = round(archive.cost + additional_cost, 2)

        await self.db.commit()
        logger.info("Added reprint cost %s to archive %s, new total: %s", additional_cost, archive_id, archive.cost)
        return True

    async def list_archives(
        self,
        printer_id: int | None = None,
        project_id: int | 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)

        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

        # Delete files - with CRITICAL safety checks to prevent accidental deletion
        # of parent directories (e.g., /opt) if file_path is empty/malformed
        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}"
                    )
                    # Still delete the database record, just not the files
                    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
                # (should be archive_dir/uuid/file.3mf, so parent should be archive_dir/uuid)
                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

                shutil.rmtree(archive_dir, ignore_errors=True)
        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
        await self.db.delete(archive)
        await self.db.commit()
        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."""
        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()

        return True