DatasourceSyncJobResourceTypeMetrics

pydantic model openapi_client.models.datasource_sync_job_resource_type_metrics.DatasourceSyncJobResourceTypeMetrics

Per-resource-type stats flushed after each 250-item batch and when the type completes.

Fields:

• deletion_failed_items_count (int | None)

• deletion_successful_items_count (int | None)

• indexing_failed_items_count (int | None)

• indexing_successful_items_count (int | None)

• items_considered_so_far (int | None)

• size_of_data_indexed (str | None)

• skipped_items_count (int | None)

• status (str | None)

• sync_duration_seconds (float | int | None)

• total_resource_count (int | None)

field status: Optional[StrictStr] = None (alias 'Status')

in_progress while syncing; completed when the resource type loop finished

field total_resource_count: Optional[StrictInt] = None (alias 'TotalResourceCount')

Total items in the system for this resource type (full table count at sync start)

field items_considered_so_far: Optional[StrictInt] = None (alias 'ItemsConsideredSoFar')

Items processed so far in the current sync (batch progress)

field sync_duration_seconds: Optional[Union[StrictFloat, StrictInt]] = None (alias 'SyncDurationSeconds')

Elapsed seconds since this resource type started syncing

field indexing_successful_items_count: Optional[StrictInt] = None (alias 'IndexingSuccessfulItemsCount')

field indexing_failed_items_count: Optional[StrictInt] = None (alias 'IndexingFailedItemsCount')

field skipped_items_count: Optional[StrictInt] = None (alias 'SkippedItemsCount')

field size_of_data_indexed: Optional[StrictStr] = None (alias 'SizeOfDataIndexed')

field deletion_successful_items_count: Optional[StrictInt] = None (alias 'DeletionSuccessfulItemsCount')

field deletion_failed_items_count: Optional[StrictInt] = None (alias 'DeletionFailedItemsCount')

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 DatasourceSyncJobResourceTypeMetrics 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 DatasourceSyncJobResourceTypeMetrics from a dict

Return type:

Optional[Self]