DatasourceDetailsDatasourceConfigPaginationConfig¶
- class openapi_client.models.datasource_details_datasource_config_pagination_config.DatasourceDetailsDatasourceConfigPaginationConfig(**data)[source]¶
Bases:
BaseModelPagination configuration. Required properties depend on PaginationType value.
- data_key: Optional[StrictStr]¶
- page_param: Optional[StrictStr]¶
- size_param: Optional[StrictStr]¶
- size_value: Optional[StrictInt]¶
- limit_param: Optional[StrictStr]¶
- offset_param: Optional[StrictStr]¶
- limit_value: Optional[StrictInt]¶
- cursor_param: Optional[StrictStr]¶
- cursor_path_in_response: 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].
- classmethod from_json(json_str)[source]¶
Create an instance of DatasourceDetailsDatasourceConfigPaginationConfig 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 DatasourceDetailsDatasourceConfigPaginationConfig from a dict
- Return type:
Optional[Self]
- model_fields: ClassVar[dict[str, FieldInfo]] = {'cursor_param': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CursorParam', alias_priority=2, description='Parameter name for cursor (required for Cursor pagination)'), 'cursor_path_in_response': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CursorPathInResponse', alias_priority=2, description='Path to next cursor in response (required for Cursor pagination)'), 'data_key': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataKey', alias_priority=2, description='Key in response containing the data array (required for all pagination types)'), 'limit_param': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LimitParam', alias_priority=2, description='Parameter name for limit (required for Offset pagination)'), 'limit_value': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='LimitValue', alias_priority=2, description='Limit value (required for Offset pagination)'), 'offset_param': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='OffsetParam', alias_priority=2, description='Parameter name for offset (required for Offset pagination)'), 'page_param': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PageParam', alias_priority=2, description='Parameter name for page number (required for Page pagination)'), 'size_param': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SizeParam', alias_priority=2, description='Parameter name for page size (required for Page pagination)'), 'size_value': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='SizeValue', alias_priority=2, description='Page size value (required for Page pagination)')}¶
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