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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_feedback.py
DESCRIPTION:
This sample demonstrates feedback operations.
USAGE:
python sample_feedback.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_METRIC_ID - the ID of an metric from an existing data feed
5) METRICS_ADVISOR_FEEDBACK_ID - the ID of an existing feedback
"""
import os
import datetime
def sample_add_feedback():
# [START add_feedback]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorClient
from azure.ai.metricsadvisor.models import AnomalyFeedback, ChangePointFeedback, CommentFeedback, PeriodFeedback
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))
anomaly_feedback = AnomalyFeedback(metric_id=metric_id,
dimension_key={"Dim1": "Common Lime"},
start_time=datetime.datetime(2020, 8, 5),
end_time=datetime.datetime(2020, 8, 7),
value="NotAnomaly")
client.add_feedback(anomaly_feedback)
change_point_feedback = ChangePointFeedback(metric_id=metric_id,
dimension_key={"Dim1": "Common Lime"},
start_time=datetime.datetime(2020, 8, 5),
end_time=datetime.datetime(2020, 8, 7),
value="NotChangePoint")
client.add_feedback(change_point_feedback)
comment_feedback = CommentFeedback(metric_id=metric_id,
dimension_key={"Dim1": "Common Lime"},
start_time=datetime.datetime(2020, 8, 5),
end_time=datetime.datetime(2020, 8, 7),
value="comment")
client.add_feedback(comment_feedback)
period_feedback = PeriodFeedback(metric_id=metric_id,
dimension_key={"Dim1": "Common Lime"},
start_time=datetime.datetime(2020, 8, 5),
end_time=datetime.datetime(2020, 8, 7),
period_type="AssignValue",
value=2)
client.add_feedback(period_feedback)
# [END add_feedback]
def sample_get_feedback():
# [START get_feedback]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, MetricsAdvisorClient
service_endpoint = os.getenv("METRICS_ADVISOR_ENDPOINT")
subscription_key = os.getenv("METRICS_ADVISOR_SUBSCRIPTION_KEY")
api_key = os.getenv("METRICS_ADVISOR_API_KEY")
feedback_id = os.getenv("METRICS_ADVISOR_FEEDBACK_ID")
client = MetricsAdvisorClient(service_endpoint,
MetricsAdvisorKeyCredential(subscription_key, api_key))
result = client.get_feedback(feedback_id=feedback_id)
print("Type: {}; Id: {}".format(result.feedback_type, result.id))
# [END get_feedback]
def sample_list_feedback():
# [START list_feedback]
from azure.ai.metricsadvisor import MetricsAdvisorKeyCredential, 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))
results = client.list_feedback(metric_id=metric_id)
for result in results:
print("Type: {}; Id: {}".format(result.feedback_type, result.id))
# [END list_feedback]
if __name__ == '__main__':
print("---Creating feedback...")
sample_add_feedback()
print("Feedback successfully created...")
print("\n---Get a feedback...")
sample_get_feedback()
print("\n---List feedbacks...")
sample_list_feedback()
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