# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""
FILE: sample_metrics_query.py
DESCRIPTION:
    This sample demonstrates authenticating the MetricsQueryClient and retrieving the "Ingress"
    metric along with the "Average" aggregation type. The query will execute over a timespan
    of 2 hours with a granularity of 5 minutes.
USAGE:
    python sample_metrics_query.py
    Set the environment variables with your own values before running the sample:
    1) METRICS_RESOURCE_URI - The resource uri of the resource for which the metrics are being queried.

    This example uses DefaultAzureCredential, which requests a token from Azure Active Directory.
    For more information on DefaultAzureCredential, see https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#defaultazurecredential.

    In this example, a Storage account resource URI is taken.
"""

# [START send_metrics_query]
from datetime import timedelta
import os

from azure.identity import DefaultAzureCredential
from azure.monitor.query import MetricsQueryClient, MetricAggregationType


credential = DefaultAzureCredential()
client = MetricsQueryClient(credential)

metrics_uri = os.environ["METRICS_RESOURCE_URI"]
response = client.query_resource(
    metrics_uri,
    metric_names=["Ingress"],
    timespan=timedelta(hours=2),
    granularity=timedelta(minutes=5),
    aggregations=[MetricAggregationType.AVERAGE],
)

for metric in response.metrics:
    print(metric.name + " -- " + metric.display_description)
    for time_series_element in metric.timeseries:
        for metric_value in time_series_element.data:
            print("The ingress at {} is {}".format(metric_value.timestamp, metric_value.average))
# [END send_metrics_query]