ResourceMetricsItem

pydantic model openapi_client.models.resource_metrics_item.ResourceMetricsItem

A single metric series with labelled data points over time

Fields:

• data_points (List[openapi_client.models.resource_metrics_data_point.ResourceMetricsDataPoint] | None)

• label (str | None)

• unit (str | None)

field label: Optional[StrictStr] = None (alias 'Label')

Metric name (e.g. FileCount, TotalFileSize, Rows, PercentageOfDuplicateRows)

field unit: Optional[StrictStr] = None (alias 'Unit')

Unit for the metric (e.g. Count, Bytes, BytesPerFile, Percent)

field data_points: Optional[List[ResourceMetricsDataPoint]] = None (alias 'DataPoints')

Time-series values for this metric

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 ResourceMetricsItem 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 ResourceMetricsItem from a dict

Return type:

Optional[Self]