DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfig

pydantic model openapi_client.models.datasource_flows_update_items_config_inner_item_details_inner_ingestion_config.DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfig

DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfig

Fields:

• column_filters (openapi_client.models.datasource_flows_update_items_config_inner_item_details_inner_ingestion_config_column_filters.DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfigColumnFilters | None)

• max_records (int | None)

• start_offset (int | None)

field max_records: Optional[StrictInt] = None (alias 'MaxRecords')

field start_offset: Optional[StrictInt] = None (alias 'StartOffset')

field column_filters: Optional[DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfigColumnFilters] = None (alias 'ColumnFilters')

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 DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfig 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 DatasourceFlowsUpdateItemsConfigInnerItemDetailsInnerIngestionConfig from a dict

Return type:

Optional[Self]