get_estimated_carbon_emissions ¶

def get_estimated_carbon_emissions(
    self,
    time_period: "capo_sustainability.types.time_period.TimePeriod",
    *,
    config_overrides: Optional[SustainabilityClientConfig] = None,
    group_by: Optional[
        "capo_sustainability.types.dimension_list.DimensionList"
    ] = None,
    filter_by: Optional[
        "capo_sustainability.types.filter_expression.FilterExpression"
    ] = None,
    emissions_types: Optional[
        "capo_sustainability.types.emissions_type_list.EmissionsTypeList"
    ] = None,
    granularity: Optional[
        "capo_sustainability.types.time_granularity.TimeGranularity"
    ] = None,
    granularity_configuration: Optional[
        "capo_sustainability.types.granularity_configuration.GranularityConfiguration"
    ] = None,
    max_results: Optional[
        "capo_sustainability.types.max_results.MaxResults"
    ] = None,
    next_token: Optional["capo_sustainability.types.next_token.NextToken"] = None,
) -> "capo_sustainability.types.get_estimated_carbon_emissions_response.GetEstimatedCarbonEmissionsResponse":
    """<p>Returns estimated carbon emission values based on customer grouping and filtering parameters. We recommend using pagination to ensure that the operation returns quickly and successfully. </p>

    Args:
        time_period: <p> The date range for fetching estimated carbon emissions. The range must include the start date of a month for that month's data to be included in the response. </p>
        group_by: <p>The dimensions available for grouping estimated carbon emissions.</p>
        filter_by: <p> The criteria for filtering estimated carbon emissions. To determine which dimensions are available to be filtered by, you can first call <a>GetEstimatedCarbonEmissionsDimensionValues</a> </p>
        emissions_types: <p>The emission types to include in the results. If absent, returns <code>TOTAL_LBM_CARBON_EMISSIONS</code> and <code>TOTAL_MBM_CARBON_EMISSIONS</code> emissions types. </p>
        granularity: <p> The time granularity for the results. If absent, uses <code>MONTHLY</code> time granularity. The smallest supported granularity for carbon emissions is <code>MONTHLY</code>. </p> <p> If requesting partial time periods, data will be returned based on the smallest supported granularity. For example, requesting <code>2025-04-01T00:00:00Z</code> to <code>2026-04-01T00:00:00Z</code> with <code>YEARLY_CALENDAR</code> granularity will return the last 9 months for 2025 and the first 3 months of 2026. </p>
        granularity_configuration: <p>Configuration for fiscal year calculations when using <code>YEARLY_FISCAL</code> or <code>QUARTERLY_FISCAL</code> granularity. </p>
        max_results: <p>The maximum number of results to return in a single call. Default is 1000.</p>
        next_token: <p>The pagination token specifying which page of results to return in the response. If no token is provided, the default page is the first page. </p>

    Raises:
        capo_sustainability.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_sustainability.errors.internal_server_exception.InternalServerException: <p>The request processing has failed because of an unknown error, exception, or failure.</p>
        capo_sustainability.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_sustainability.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_sustainability.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        GetEstimatedCarbonEmissionsSuccess

        >>> client.get_estimated_carbon_emissions(time_period={'Start': '2025-01-01T00:00:00.000Z', 'End': '2025-12-31T23:59:59.999Z'}, group_by=['SERVICE'], emissions_types=['TOTAL_LBM_CARBON_EMISSIONS', 'TOTAL_MBM_CARBON_EMISSIONS', 'TOTAL_SCOPE_1_CARBON_EMISSIONS', 'TOTAL_SCOPE_2_LBM_CARBON_EMISSIONS', 'TOTAL_SCOPE_2_MBM_CARBON_EMISSIONS', 'TOTAL_SCOPE_3_LBM_CARBON_EMISSIONS', 'TOTAL_SCOPE_3_MBM_CARBON_EMISSIONS'], granularity='MONTHLY')
    """

    def _handler(
        req: "OperationRequest[capo_sustainability.types.get_estimated_carbon_emissions_request.GetEstimatedCarbonEmissionsRequest]",
    ) -> OperationResponse[
        "capo_sustainability.types.get_estimated_carbon_emissions_response.GetEstimatedCarbonEmissionsResponse"
    ]:
        import capo_sustainability._operations.aws_sustainability_api_service.get_estimated_carbon_emissions

        output, http_response = (
            capo_sustainability._operations.aws_sustainability_api_service.get_estimated_carbon_emissions.get_estimated_carbon_emissions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetEstimatedCarbonEmissions")
    )
    input_: capo_sustainability.types.get_estimated_carbon_emissions_request.GetEstimatedCarbonEmissionsRequest = {
        "time_period": time_period
    }
    if group_by is not None:
        input_["group_by"] = group_by
    if filter_by is not None:
        input_["filter_by"] = filter_by
    if emissions_types is not None:
        input_["emissions_types"] = emissions_types
    if granularity is not None:
        input_["granularity"] = granularity
    if granularity_configuration is not None:
        input_["granularity_configuration"] = granularity_configuration
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output