datadog-api-client-python/examples/v2/metrics/QueryScalarData_1904811219.py at 31b6bc5ee96b0b49820070ed022d54e6208be75e · DataDog/datadog-api-client-python · GitHub

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"""
Scalar cross product query with apm_metrics data source returns "OK" response
"""

from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.metrics_api import MetricsApi
from datadog_api_client.v2.model.apm_metrics_data_source import ApmMetricsDataSource
from datadog_api_client.v2.model.apm_metrics_query import ApmMetricsQuery
from datadog_api_client.v2.model.apm_metrics_stat import ApmMetricsStat
from datadog_api_client.v2.model.formula_limit import FormulaLimit
from datadog_api_client.v2.model.query_formula import QueryFormula
from datadog_api_client.v2.model.query_sort_order import QuerySortOrder
from datadog_api_client.v2.model.scalar_formula_query_request import ScalarFormulaQueryRequest
from datadog_api_client.v2.model.scalar_formula_request import ScalarFormulaRequest
from datadog_api_client.v2.model.scalar_formula_request_attributes import ScalarFormulaRequestAttributes
from datadog_api_client.v2.model.scalar_formula_request_queries import ScalarFormulaRequestQueries
from datadog_api_client.v2.model.scalar_formula_request_type import ScalarFormulaRequestType

body = ScalarFormulaQueryRequest(
    data=ScalarFormulaRequest(
        attributes=ScalarFormulaRequestAttributes(
            formulas=[
                QueryFormula(
                    formula="a",
                    limit=FormulaLimit(
                        count=10,
                        order=QuerySortOrder.DESC,
                    ),
                ),
            ],
            _from=1636625471000,
            queries=ScalarFormulaRequestQueries(
                [
                    ApmMetricsQuery(
                        data_source=ApmMetricsDataSource.APM_METRICS,
                        name="a",
                        stat=ApmMetricsStat.HITS,
                        service="web-store",
                        query_filter="env:prod",
                        group_by=[
                            "resource_name",
                        ],
                    ),
                ]
            ),
            to=1636629071000,
        ),
        type=ScalarFormulaRequestType.SCALAR_REQUEST,
    ),
)

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.query_scalar_data(body=body)

    print(response)