ResourceFileStatusResponse¶
- class openapi_client.models.resource_file_status_response.ResourceFileStatusResponse(**data)[source]¶
Bases:
BaseModelFile status response for a knowledge base resource when action=file_status
- files: Optional[List[ResourceFile]]¶
- next_available: Optional[StrictStr]¶
- count: Optional[StrictInt]¶
- total_count: Optional[StrictInt]¶
- 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 ResourceFileStatusResponse 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 ResourceFileStatusResponse from a dict
- Return type:
Optional[Self]
- model_fields: ClassVar[dict[str, FieldInfo]] = {'count': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='Number of files returned in the current page.'), 'files': FieldInfo(annotation=Union[List[ResourceFile], NoneType], required=False, description='List of files with their status information.'), 'next_available': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description="Indicates if next page is available (e.g., 'yes', 'no')."), 'total_count': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, description='Total number of files.')}¶
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