DatasourceSyncJobDetailsJobMetrics

pydantic model openapi_client.models.datasource_sync_job_details_job_metrics.DatasourceSyncJobDetailsJobMetrics

Aggregate job metrics. ResourceTypeMetrics is included only when include_resource_metrics=true.

Fields:
field size_of_data_indexed: Optional[StrictStr] = None (alias 'SizeOfDataIndexed')
field indexing_successful_items_count: Optional[StrictInt] = None (alias 'IndexingSuccessfulItemsCount')
field indexing_failed_items_count: Optional[StrictInt] = None (alias 'IndexingFailedItemsCount')
field execution_time: Optional[StrictStr] = None (alias 'ExecutionTime')
field deletion_successful_items_count: Optional[StrictInt] = None (alias 'DeletionSuccessfulItemsCount')
field deletion_failed_items_count: Optional[StrictInt] = None (alias 'DeletionFailedItemsCount')
field skipped_items_count: Optional[StrictInt] = None (alias 'SkippedItemsCount')
field resource_type_metrics: Optional[Dict[str, DatasourceSyncJobResourceTypeMetrics]] = None (alias 'ResourceTypeMetrics')

Per-resource-type stats. Present only when include_resource_metrics=true.

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 DatasourceSyncJobDetailsJobMetrics 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 DatasourceSyncJobDetailsJobMetrics from a dict

Return type:

Optional[Self]