RunsResponseJobrunsInnerMetrics¶
- pydantic model openapi_client.models.runs_response_jobruns_inner_metrics.RunsResponseJobrunsInnerMetrics¶
Present on unstructured completed runs. Structured runs omit Metrics.
- Fields:
- field files_failed: Optional[StrictInt] = None (alias 'FilesFailed')¶
Documents that failed to index.
- field modified_files_indexed: Optional[StrictInt] = None (alias 'ModifiedFilesIndexed')¶
Modified documents indexed.
- field sources_attached: Optional[StrictInt] = None (alias 'SourcesAttached')¶
Number of sources included in the sync.
- field files_deleted: Optional[StrictInt] = None (alias 'FilesDeleted')¶
Documents deleted during the sync.
- field metadata_files_modified: Optional[StrictInt] = None (alias 'MetadataFilesModified')¶
Metadata documents modified.
- field new_files_indexed: Optional[StrictInt] = None (alias 'NewFilesIndexed')¶
New documents indexed.
- field files_scanned: Optional[StrictInt] = None (alias 'FilesScanned')¶
Documents scanned.
- field metadata_files_scanned: Optional[StrictInt] = None (alias 'MetadataFilesScanned')¶
Metadata documents scanned.
- 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 RunsResponseJobrunsInnerMetrics 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 RunsResponseJobrunsInnerMetrics from a dict
- Return type:
Optional[Self]