DatasourceFlowsUpdateDataflowConfig

class openapi_client.models.datasource_flows_update_dataflow_config.DatasourceFlowsUpdateDataflowConfig(**data)

Bases: BaseModel

shared_instance: Optional[StrictStr]

sync_to_s3: Optional[StrictStr]

extra_connection_attributes: Optional[StrictStr]

source_extra_connection_attributes: Optional[StrictStr]

target_table_prep_mode: Optional[StrictStr]

cdc_start_time: Optional[StrictStr]

cdc_stop_position: Optional[StrictStr]

instance_class: Optional[StrictStr]

allocated_storage: Optional[StrictStr]

instance_az: Optional[StrictStr]

instance_multi_az: Optional[StrictBool]

task_retry_config: Optional[DatasourceFlowsDetailsDataflowConfigTaskRetryConfig]

additional_task_settings: Optional[Dict[str, Any]]

schedules: Optional[List[List[ScheduleDetailsInner]]]

table_mappings: Optional[StrictStr]

consumer_configuration: Optional[DatasourceFlowsDetailsDataflowConfigConsumerConfiguration]

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 DatasourceFlowsUpdateDataflowConfig 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 DatasourceFlowsUpdateDataflowConfig from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'additional_task_settings': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='AdditionalTaskSettings', alias_priority=2), 'allocated_storage': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AllocatedStorage', alias_priority=2), 'cdc_start_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CdcStartTime', alias_priority=2), 'cdc_stop_position': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CdcStopPosition', alias_priority=2), 'consumer_configuration': FieldInfo(annotation=Union[DatasourceFlowsDetailsDataflowConfigConsumerConfiguration, NoneType], required=False, alias='ConsumerConfiguration', alias_priority=2), 'extra_connection_attributes': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ExtraConnectionAttributes', alias_priority=2), 'instance_az': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='InstanceAZ', alias_priority=2), 'instance_class': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='InstanceClass', alias_priority=2), 'instance_multi_az': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='InstanceMultiAZ', alias_priority=2), 'schedules': FieldInfo(annotation=Union[List[List[ScheduleDetailsInner]], NoneType], required=False, alias='Schedules', alias_priority=2), 'shared_instance': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SharedInstance', alias_priority=2), 'source_extra_connection_attributes': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SourceExtraConnectionAttributes', alias_priority=2), 'sync_to_s3': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='SyncToS3', alias_priority=2), 'table_mappings': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='TableMappings', alias_priority=2), 'target_table_prep_mode': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='TargetTablePrepMode', alias_priority=2), 'task_retry_config': FieldInfo(annotation=Union[DatasourceFlowsDetailsDataflowConfigTaskRetryConfig, NoneType], required=False, alias='TaskRetryConfig', 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