example: datadog_api_client.v2 query_timeseries_data does not work

Beginne mit examples/v2/metrics/QueryTimeseriesData.py und führe das bereitgestellte query_timeseries_data-Beispiel mit den relevanten API- und Anwendungsschlüsseln aus. Untersuche die von MetricsApi gesendete Anfrage und den zurückgegebenen Fehler „Invalid query input“; fertig ist die Aufgabe, wenn das Beispiel erfolgreich ausgeführt wird und mit der angegebenen OK-Antwort übereinstimmt.

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when I run test in
https://github.com/DataDog/datadog-api-client-python/blob/master/examples/v2/metrics/QueryTimeseriesData.py

"""
Query timeseries data across multiple products 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.formula_limit import FormulaLimit
from datadog_api_client.v2.model.metrics_data_source import MetricsDataSource
from datadog_api_client.v2.model.metrics_timeseries_query import MetricsTimeseriesQuery
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.timeseries_formula_query_request import TimeseriesFormulaQueryRequest
from datadog_api_client.v2.model.timeseries_formula_request import TimeseriesFormulaRequest
from datadog_api_client.v2.model.timeseries_formula_request_attributes import TimeseriesFormulaRequestAttributes
from datadog_api_client.v2.model.timeseries_formula_request_queries import TimeseriesFormulaRequestQueries
from datadog_api_client.v2.model.timeseries_formula_request_type import TimeseriesFormulaRequestType


body = TimeseriesFormulaQueryRequest(
    data=TimeseriesFormulaRequest(
        attributes=TimeseriesFormulaRequestAttributes(
            formulas=[
                QueryFormula(
                    formula="a+b",
                    limit=FormulaLimit(
                        count=10,
                        order=QuerySortOrder.DESC,
                    ),
                ),
            ],
            _from=1730518188595,
            interval=5000,
            queries=TimeseriesFormulaRequestQueries(
                [
                    MetricsTimeseriesQuery(
                        data_source=MetricsDataSource.METRICS,
                        query="avg:system.cpu.user{*}",
                    ),
                ]
            ),
            to=1730604588595,
        ),
        type=TimeseriesFormulaRequestType.TIMESERIES_REQUEST,
    ),
)

API_KEY= 'XXX'
APP_KEY = 'XXX'
configuration = Configuration()
configuration.api_key["apiKeyAuth"] = API_KEY
configuration.api_key["appKeyAuth"] = APP_KEY
configuration.unstable_operations["query_timeseries_data"] = True
with ApiClient(configuration) as api_client:
    api_instance = MetricsApi(api_client)
    response = api_instance.query_timeseries_data(body=body)

    print(response)

return error: {'errors': ['Invalid query input']}

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