CostAnalysisKPIResultsResponseBodyResultByTimeInnerCostMetricsInner

pydantic model openapi_client.models.cost_analysis_kpi_results_response_body_result_by_time_inner_cost_metrics_inner.CostAnalysisKPIResultsResponseBodyResultByTimeInnerCostMetricsInner

One cost metric row.

Fields:
field tag_key: Optional[StrictStr] = None (alias 'TagKey')

Cost allocation tag key, when applicable.

field tag_value: Optional[StrictStr] = None (alias 'TagValue')

Cost allocation tag value, when applicable.

field total_cost: Optional[Union[StrictFloat, StrictInt]] = None (alias 'TotalCost')

Total cost for the row.

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

Timestamp when this result was last updated.

field service_name: Optional[StrictStr] = None (alias 'ServiceName')

AWS service name; returned only for KPI 4.

field resource_id: Optional[StrictStr] = None (alias 'ResourceId')

Resource identifier; returned only for KPI 5.

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 CostAnalysisKPIResultsResponseBodyResultByTimeInnerCostMetricsInner 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 CostAnalysisKPIResultsResponseBodyResultByTimeInnerCostMetricsInner from a dict

Return type:

Optional[Self]