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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_queries_async.py
DESCRIPTION:
This sample demonstrates how to query
- metric enriched series data
- dimension values
- metric dimension values
- metrics series data
- metric series definitions
- metric enrichment status
USAGE:
python sample_queries_async.py
Set the environment variables with your own values before running the sample:
1) METRICS_ADVISOR_ENDPOINT - the endpoint of your Azure Metrics Advisor service
2) METRICS_ADVISOR_SUBSCRIPTION_KEY - Metrics Advisor service subscription key
3) METRICS_ADVISOR_API_KEY - Metrics Advisor service API key
4) METRICS_ADVISOR_DETECTION_CONFIGURATION_ID - the ID of an existing detection configuration
5) METRICS_ADVISOR_METRIC_ID - the ID of an metric from an existing data feed
"""
import os
import asyncio
async def sample_list_metric_enriched_series_data_async():
# [START list_metric_enriched_series_data_async]
import datetime
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
detection_configuration_id = os.getenv("METRICS_ADVISOR_DETECTION_CONFIGURATION_ID")
series_identity = {"region": "Los Angeles"}
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_metric_enriched_series_data(
detection_configuration_id=detection_configuration_id,
start_time=datetime.datetime(2020, 9, 1),
end_time=datetime.datetime(2020, 11, 1),
series=[series_identity]
)
async for result in results:
print(str(result))
# [END list_metric_enriched_series_data_async]
async def sample_list_anomaly_dimension_values_async():
# [START list_anomaly_dimension_values_async]
import datetime
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
detection_configuration_id = os.getenv("METRICS_ADVISOR_DETECTION_CONFIGURATION_ID")
dimension_name = "region"
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_anomaly_dimension_values(
detection_configuration_id=detection_configuration_id,
dimension_name=dimension_name,
start_time=datetime.datetime(2020, 1, 1),
end_time=datetime.datetime(2020, 10, 21),
)
async for result in results:
print(str(result))
# [END list_anomaly_dimension_values_async]
async def sample_list_metric_dimension_values_async():
# [START list_metric_dimension_values_async]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
metric_id = os.getenv("METRICS_ADVISOR_METRIC_ID")
dimension_name = "region"
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_metric_dimension_values(
metric_id=metric_id,
dimension_name=dimension_name,
)
async for result in results:
print(str(result))
# [END list_metric_dimension_values_async]
async def sample_list_metric_series_data_async():
# [START list_metric_series_data_async]
import datetime
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
metric_id = os.getenv("METRICS_ADVISOR_METRIC_ID")
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_metric_series_data(
metric_id=metric_id,
start_time=datetime.datetime(2020, 1, 1),
end_time=datetime.datetime(2020, 10, 21),
series_keys=[
{"region": "Los Angeles", "category": "Homemade"}
]
)
async for result in results:
print(str(result))
# [END list_metric_series_data_async]
async def sample_list_metric_series_definitions_async():
# [START list_metric_series_definitions_async]
import datetime
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
metric_id = os.getenv("METRICS_ADVISOR_METRIC_ID")
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_metric_series_definitions(
metric_id=metric_id,
active_since=datetime.datetime(2020, 1, 1),
)
async for result in results:
print(str(result))
# [END list_metric_series_definitions_async]
async def sample_list_metric_enrichment_status_async():
# [START list_metric_enrichment_status_async]
import datetime
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential
from azure.ai.metricsadvisor.aio import MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
metric_id = os.getenv("METRICS_ADVISOR_METRIC_ID")
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
async with client:
results = client.list_metric_enrichment_status(
metric_id=metric_id,
start_time=datetime.datetime(2020, 1, 1),
end_time=datetime.datetime(2020, 10, 21),
)
async for result in results:
print(str(result))
# [END list_metric_enrichment_status_async]
async def main():
print("---List metric enriched series data...")
await sample_list_metric_enriched_series_data_async()
print("---List dimension values...")
await sample_list_anomaly_dimension_values_async()
print("---List metric dimension values...")
await sample_list_metric_dimension_values_async()
print("---List metric series data...")
await sample_list_metric_series_data_async()
print("---List metric series definitions...")
await sample_list_metric_series_definitions_async()
print("---List metric enrichment status...")
await sample_list_metric_enrichment_status_async()
if __name__ == '__main__':
asyncio.run(main())
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