HclsJobsByIdGetResponseBodySourcesInner¶
- class openapi_client.models.hcls_jobs_by_id_get_response_body_sources_inner.HclsJobsByIdGetResponseBodySourcesInner(**data)[source]¶
Bases:
BaseModel- sample_id: Optional[StrictStr]¶
- subject_id: Optional[StrictStr]¶
- status: Optional[StrictStr]¶
- status_message: Optional[StrictStr]¶
- source_files: Optional[HclsJobsByIdGetResponseBodySourcesInnerSourceFiles]¶
- 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].
- classmethod from_json(json_str)[source]¶
Create an instance of HclsJobsByIdGetResponseBodySourcesInner from a JSON string
- Return type:
Optional[Self]
- to_dict()[source]¶
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)[source]¶
Create an instance of HclsJobsByIdGetResponseBodySourcesInner from a dict
- Return type:
Optional[Self]
- model_fields: ClassVar[dict[str, FieldInfo]] = {'sample_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SampleId', alias_priority=2), 'source_files': FieldInfo(annotation=Union[HclsJobsByIdGetResponseBodySourcesInnerSourceFiles, NoneType], required=False, alias='SourceFiles', alias_priority=2), 'status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Status', alias_priority=2), 'status_message': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='StatusMessage', alias_priority=2), 'subject_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SubjectId', 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