Queues Response Legacy Dto

@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
    """Create an instance of QueuesResponseLegacyDto from a dict"""
    if obj is None:
        return None

    if not isinstance(obj, dict):
        return cls.model_validate(obj)

    _obj = cls.model_validate(
        {
            "backgroundTask": QueueResponseLegacyDto.from_dict(
                obj["backgroundTask"]
            )
            if obj.get("backgroundTask") is not None
            else None,
            "backupDatabase": QueueResponseLegacyDto.from_dict(
                obj["backupDatabase"]
            )
            if obj.get("backupDatabase") is not None
            else None,
            "duplicateDetection": QueueResponseLegacyDto.from_dict(
                obj["duplicateDetection"]
            )
            if obj.get("duplicateDetection") is not None
            else None,
            "editor": QueueResponseLegacyDto.from_dict(obj["editor"])
            if obj.get("editor") is not None
            else None,
            "faceDetection": QueueResponseLegacyDto.from_dict(obj["faceDetection"])
            if obj.get("faceDetection") is not None
            else None,
            "facialRecognition": QueueResponseLegacyDto.from_dict(
                obj["facialRecognition"]
            )
            if obj.get("facialRecognition") is not None
            else None,
            "library": QueueResponseLegacyDto.from_dict(obj["library"])
            if obj.get("library") is not None
            else None,
            "metadataExtraction": QueueResponseLegacyDto.from_dict(
                obj["metadataExtraction"]
            )
            if obj.get("metadataExtraction") is not None
            else None,
            "migration": QueueResponseLegacyDto.from_dict(obj["migration"])
            if obj.get("migration") is not None
            else None,
            "notifications": QueueResponseLegacyDto.from_dict(obj["notifications"])
            if obj.get("notifications") is not None
            else None,
            "ocr": QueueResponseLegacyDto.from_dict(obj["ocr"])
            if obj.get("ocr") is not None
            else None,
            "search": QueueResponseLegacyDto.from_dict(obj["search"])
            if obj.get("search") is not None
            else None,
            "sidecar": QueueResponseLegacyDto.from_dict(obj["sidecar"])
            if obj.get("sidecar") is not None
            else None,
            "smartSearch": QueueResponseLegacyDto.from_dict(obj["smartSearch"])
            if obj.get("smartSearch") is not None
            else None,
            "storageTemplateMigration": QueueResponseLegacyDto.from_dict(
                obj["storageTemplateMigration"]
            )
            if obj.get("storageTemplateMigration") is not None
            else None,
            "thumbnailGeneration": QueueResponseLegacyDto.from_dict(
                obj["thumbnailGeneration"]
            )
            if obj.get("thumbnailGeneration") is not None
            else None,
            "videoConversion": QueueResponseLegacyDto.from_dict(
                obj["videoConversion"]
            )
            if obj.get("videoConversion") is not None
            else None,
            "workflow": QueueResponseLegacyDto.from_dict(obj["workflow"])
            if obj.get("workflow") is not None
            else None,
        }
    )
    return _obj

@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
    """Create an instance of QueuesResponseLegacyDto from a JSON string"""
    return cls.from_dict(json.loads(json_str))

def to_dict(self) -> Dict[str, Any]:
    """Return the dictionary representation of the model using alias.

    This has the following differences from calling pydantic's
    `self.model_dump(by_alias=True)`:

    * `None` is only added to the output dict for nullable fields that
      were set at model initialization. Other fields with value `None`
      are ignored.
    """
    excluded_fields: Set[str] = set([])

    _dict = self.model_dump(
        by_alias=True,
        exclude=excluded_fields,
        exclude_none=True,
    )
    # override the default output from pydantic by calling `to_dict()` of background_task
    if self.background_task:
        _dict["backgroundTask"] = self.background_task.to_dict()
    # override the default output from pydantic by calling `to_dict()` of backup_database
    if self.backup_database:
        _dict["backupDatabase"] = self.backup_database.to_dict()
    # override the default output from pydantic by calling `to_dict()` of duplicate_detection
    if self.duplicate_detection:
        _dict["duplicateDetection"] = self.duplicate_detection.to_dict()
    # override the default output from pydantic by calling `to_dict()` of editor
    if self.editor:
        _dict["editor"] = self.editor.to_dict()
    # override the default output from pydantic by calling `to_dict()` of face_detection
    if self.face_detection:
        _dict["faceDetection"] = self.face_detection.to_dict()
    # override the default output from pydantic by calling `to_dict()` of facial_recognition
    if self.facial_recognition:
        _dict["facialRecognition"] = self.facial_recognition.to_dict()
    # override the default output from pydantic by calling `to_dict()` of library
    if self.library:
        _dict["library"] = self.library.to_dict()
    # override the default output from pydantic by calling `to_dict()` of metadata_extraction
    if self.metadata_extraction:
        _dict["metadataExtraction"] = self.metadata_extraction.to_dict()
    # override the default output from pydantic by calling `to_dict()` of migration
    if self.migration:
        _dict["migration"] = self.migration.to_dict()
    # override the default output from pydantic by calling `to_dict()` of notifications
    if self.notifications:
        _dict["notifications"] = self.notifications.to_dict()
    # override the default output from pydantic by calling `to_dict()` of ocr
    if self.ocr:
        _dict["ocr"] = self.ocr.to_dict()
    # override the default output from pydantic by calling `to_dict()` of search
    if self.search:
        _dict["search"] = self.search.to_dict()
    # override the default output from pydantic by calling `to_dict()` of sidecar
    if self.sidecar:
        _dict["sidecar"] = self.sidecar.to_dict()
    # override the default output from pydantic by calling `to_dict()` of smart_search
    if self.smart_search:
        _dict["smartSearch"] = self.smart_search.to_dict()
    # override the default output from pydantic by calling `to_dict()` of storage_template_migration
    if self.storage_template_migration:
        _dict["storageTemplateMigration"] = (
            self.storage_template_migration.to_dict()
        )
    # override the default output from pydantic by calling `to_dict()` of thumbnail_generation
    if self.thumbnail_generation:
        _dict["thumbnailGeneration"] = self.thumbnail_generation.to_dict()
    # override the default output from pydantic by calling `to_dict()` of video_conversion
    if self.video_conversion:
        _dict["videoConversion"] = self.video_conversion.to_dict()
    # override the default output from pydantic by calling `to_dict()` of workflow
    if self.workflow:
        _dict["workflow"] = self.workflow.to_dict()
    return _dict

def to_json(self) -> str:
    """Returns the JSON representation of the model using alias"""
    # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
    return json.dumps(self.to_dict())

def to_str(self) -> str:
    """Returns the string representation of the model using alias"""
    return pprint.pformat(self.model_dump(by_alias=True))