CostAnalysisKPIResultsResponseBody

pydantic model openapi_client.models.cost_analysis_kpi_results_response_body.CostAnalysisKPIResultsResponseBody

Computed metric results for one cost-analysis KPI.

Fields:
field kpiid: Optional[StrictInt] = None (alias 'KPIId')

Numeric KPI identifier.

field kpi_description: Optional[StrictStr] = None (alias 'KPIDescription')

Human-readable KPI description.

field kpi_name: Optional[StrictStr] = None (alias 'KPIName')

Display name of the KPI.

field time_period: Optional[CostAnalysisKPIResultsResponseBodyTimePeriod] = None (alias 'TimePeriod')
field granularity: Optional[StrictStr] = None (alias 'Granularity')

Time granularity of result buckets.

field currency: Optional[StrictStr] = None (alias 'Currency')

ISO currency unit for costs.

field result_by_time: Optional[List[CostAnalysisKPIResultsResponseBodyResultByTimeInner]] = None (alias 'ResultByTime')

Metric groups ordered by date.

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 CostAnalysisKPIResultsResponseBody 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 CostAnalysisKPIResultsResponseBody from a dict

Return type:

Optional[Self]