OperationsResponse¶
- class openapi_client.models.operations_response.OperationsResponse(**data)[source]¶
Bases:
BaseModel- cluster_metrics: Optional[ClusterMetrics]¶
- cluster_schemas: Optional[ClusterSchemas]¶
- cluster_schema_tables: Optional[ClusterSchemaTables]¶
- dwh_list_tables: Optional[DWHListTables]¶
- dwh_query_response: Optional[DWHQueryResponse]¶
- dwh_query_results: Optional[DWHQueryResults]¶
- message_status: Optional[MessageStatus]¶
- tenants: Optional[Tenants]¶
- tenant_response_body: Optional[TenantResponseBody]¶
- wlm_config_response: Optional[WLMConfigResponse]¶
- wlm_queue_config: Optional[WLMQueueConfig]¶
- cluster_groups: Optional[ClusterGroups]¶
- queries_and_loads_response: Optional[QueriesAndLoadsResponse]¶
- index_history: Optional[List[IndexHistoryInner]]¶
- 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 OperationsResponse 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 OperationsResponse from a dict
- Return type:
Optional[Self]
- model_fields: ClassVar[dict[str, FieldInfo]] = {'cluster_groups': FieldInfo(annotation=Union[ClusterGroups, NoneType], required=False, alias='ClusterGroups', alias_priority=2), 'cluster_metrics': FieldInfo(annotation=Union[ClusterMetrics, NoneType], required=False, alias='ClusterMetrics', alias_priority=2), 'cluster_schema_tables': FieldInfo(annotation=Union[ClusterSchemaTables, NoneType], required=False, alias='ClusterSchemaTables', alias_priority=2), 'cluster_schemas': FieldInfo(annotation=Union[ClusterSchemas, NoneType], required=False, alias='ClusterSchemas', alias_priority=2), 'dwh_list_tables': FieldInfo(annotation=Union[DWHListTables, NoneType], required=False, alias='DWHListTables', alias_priority=2), 'dwh_query_response': FieldInfo(annotation=Union[DWHQueryResponse, NoneType], required=False, alias='DWHQueryResponse', alias_priority=2), 'dwh_query_results': FieldInfo(annotation=Union[DWHQueryResults, NoneType], required=False, alias='DWHQueryResults', alias_priority=2), 'index_history': FieldInfo(annotation=Union[List[IndexHistoryInner], NoneType], required=False, alias='IndexHistory', alias_priority=2), 'message_status': FieldInfo(annotation=Union[MessageStatus, NoneType], required=False, alias='MessageStatus', alias_priority=2), 'queries_and_loads_response': FieldInfo(annotation=Union[QueriesAndLoadsResponse, NoneType], required=False, alias='QueriesAndLoadsResponse', alias_priority=2), 'tenant_response_body': FieldInfo(annotation=Union[TenantResponseBody, NoneType], required=False, alias='TenantResponseBody', alias_priority=2), 'tenants': FieldInfo(annotation=Union[Tenants, NoneType], required=False, alias='Tenants', alias_priority=2), 'wlm_config_response': FieldInfo(annotation=Union[WLMConfigResponse, NoneType], required=False, alias='WLMConfigResponse', alias_priority=2), 'wlm_queue_config': FieldInfo(annotation=Union[WLMQueueConfig, NoneType], required=False, alias='WLMQueueConfig', 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