OptimizerRun

pydantic model openapi_client.models.optimizer_run.OptimizerRun

Information about an optimizer run

Fields:

• compaction_metrics (Dict[str, Any] | None)

• end_timestamp (datetime.datetime | None)

• event_type (str | None)

• orphan_file_deletion_metrics (Dict[str, Any] | None)

• retention_metrics (Dict[str, Any] | None)

• start_timestamp (datetime.datetime | None)

field event_type: Optional[StrictStr] = None (alias 'EventType')

Type of event for the run

field start_timestamp: Optional[datetime] = None (alias 'StartTimestamp')

Start timestamp of the run

field end_timestamp: Optional[datetime] = None (alias 'EndTimestamp')

End timestamp of the run

field compaction_metrics: Optional[Dict[str, Any]] = None (alias 'CompactionMetrics')

Metrics for compaction optimizer runs

field retention_metrics: Optional[Dict[str, Any]] = None (alias 'RetentionMetrics')

Metrics for retention optimizer runs

field orphan_file_deletion_metrics: Optional[Dict[str, Any]] = None (alias 'OrphanFileDeletionMetrics')

Metrics for orphan file deletion optimizer runs

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 OptimizerRun 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 OptimizerRun from a dict

Return type:

Optional[Self]