GetClusterOperationDetails200Response¶
- pydantic model openapi_client.models.get_cluster_operation_details200_response.GetClusterOperationDetails200Response¶
GetClusterOperationDetails200Response
- Fields:
- field oneof_schema_1_validator: Optional[Annotated[List[IndexHistoryInner], Field(max_length=3)]] = None¶
Catalog index history for the OpenSearch cluster, returned by GET /clusters/os/indexhistory as a bare JSON array. The backend returns at most the 3 most recent entries, newest first, and there are no pagination parameters, so this is a recent-activity summary rather than a complete audit log. An empty array means no indexing operations have been recorded.
- field oneof_schema_2_validator: Optional[RagMetricsResponse] = None¶
- field oneof_schema_3_validator: Optional[OperationsResponse] = None¶
- field actual_instance: Optional[Union[List[IndexHistoryInner], OperationsResponse, RagMetricsResponse]] = None¶
- field one_of_schemas: Set[str] = {'List[IndexHistoryInner]', 'OperationsResponse', 'RagMetricsResponse'}¶
- __init__(*args, **kwargs)¶
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
- classmethod from_dict(obj)¶
- Return type:
Self
- classmethod from_json(json_str)¶
Returns the object represented by the json string
- Return type:
Self
- to_json()¶
Returns the JSON representation of the actual instance
- Return type:
str
- to_dict()¶
Returns the dict representation of the actual instance
- Return type:
Union[Dict[str,Any],List[IndexHistoryInner],OperationsResponse,RagMetricsResponse,None]
- to_str()¶
Returns the string representation of the actual instance
- Return type:
str