HclsHealthImagingImagesetsListImageSetsInner

class openapi_client.models.hcls_health_imaging_imagesets_list_image_sets_inner.HclsHealthImagingImagesetsListImageSetsInner(**data)

Bases: BaseModel

imageset_id: Optional[StrictStr]

store_id: Optional[StrictStr]

imageset_status: Optional[StrictStr]

last_modified_time: Optional[StrictStr]

creation_time: Optional[StrictStr]

patient: Optional[Dict[str, Any]]

study: Optional[Dict[str, Any]]

series: Optional[Dict[str, Any]]

study_timestamp: Optional[StrictStr]

version: Optional[StrictStr]

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of HclsHealthImagingImagesetsListImageSetsInner from a JSON string

Return type:

Optional[Self]

to_dict()

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.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of HclsHealthImagingImagesetsListImageSetsInner from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2), 'imageset_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ImagesetId', alias_priority=2), 'imageset_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ImagesetStatus', alias_priority=2), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2), 'patient': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Patient', alias_priority=2), 'series': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Series', alias_priority=2), 'store_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='StoreId', alias_priority=2), 'study': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Study', alias_priority=2), 'study_timestamp': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='StudyTimestamp', alias_priority=2), 'version': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Version', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None