# 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. # -------------------------------------------------------------------------- import pytest import uuid import functools from azure.core.exceptions import ResourceNotFoundError from azure.ai.metricsadvisor.models import ( MetricDetectionCondition, MetricSeriesGroupDetectionCondition, MetricSingleSeriesDetectionCondition, SmartDetectionCondition, SuppressCondition, ChangeThresholdCondition, HardThresholdCondition, ) from devtools_testutils import recorded_by_proxy from azure.ai.metricsadvisor import MetricsAdvisorAdministrationClient from base_testcase import TestMetricsAdvisorClientBase, MetricsAdvisorClientPreparer, CREDENTIALS, ids, API_KEY MetricsAdvisorPreparer = functools.partial(MetricsAdvisorClientPreparer, MetricsAdvisorAdministrationClient) class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorClientBase): @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy def test_create_ad_config_whole_series_detection(self, client, variables): detection_config_name = self.create_random_name("testdetectionconfig") if self.is_live: variables["detection_config_name"] = detection_config_name try: config = client.create_detection_configuration( name=variables["detection_config_name"], metric_id=variables["data_feed_metric_id"], description="My test metric anomaly detection configuration", whole_series_detection_condition=MetricDetectionCondition( condition_operator="OR", smart_detection_condition=SmartDetectionCondition( sensitivity=50, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ) ), hard_threshold_condition=HardThresholdCondition( anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ), lower_bound=0, upper_bound=100 ), change_threshold_condition=ChangeThresholdCondition( change_percentage=50, shift_point=30, within_range=True, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=2, min_ratio=2 ) ) ) ) if self.is_live: variables["detection_config_id"] = config.id assert config.id is not None assert config.metric_id == variables["data_feed_metric_id"] assert config.description == "My test metric anomaly detection configuration" assert config.name is not None assert config.series_detection_conditions == [] assert config.series_group_detection_conditions == [] assert config.whole_series_detection_condition.condition_operator == "OR" assert config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert config.whole_series_detection_condition.change_threshold_condition.change_percentage == 50 assert config.whole_series_detection_condition.change_threshold_condition.shift_point == 30 assert config.whole_series_detection_condition.change_threshold_condition.within_range assert config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 2 assert config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Both" assert config.whole_series_detection_condition.hard_threshold_condition.lower_bound == 0 assert config.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 5 assert config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Both" assert config.whole_series_detection_condition.smart_detection_condition.sensitivity == 50 assert config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 5 self.clean_up(client.delete_detection_configuration, variables, key="detection_config_id") with pytest.raises(ResourceNotFoundError): client.get_detection_configuration(variables["detection_config_id"]) finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy def test_create_ad_conf_series_and_group_cond(self, client, variables): detection_config_name = self.create_random_name("testdetectionconfig") if self.is_live: variables["detection_config_name"] = detection_config_name try: detection_config = client.create_detection_configuration( name=variables["detection_config_name"], metric_id=variables["data_feed_metric_id"], description="My test metric anomaly detection configuration", whole_series_detection_condition=MetricDetectionCondition( condition_operator="AND", smart_detection_condition=SmartDetectionCondition( sensitivity=50, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ) ), hard_threshold_condition=HardThresholdCondition( anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ), lower_bound=0, upper_bound=100 ), change_threshold_condition=ChangeThresholdCondition( change_percentage=50, shift_point=30, within_range=True, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=2, min_ratio=2 ) ) ), series_detection_conditions=[MetricSingleSeriesDetectionCondition( series_key={"region": "Shenzhen", "category": "Jewelry"}, smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ) )], series_group_detection_conditions=[MetricSeriesGroupDetectionCondition( series_group_key={"region": "Sao Paulo"}, smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ) )] ) assert detection_config.id is not None assert detection_config.metric_id == variables["data_feed_metric_id"] assert detection_config.description == "My test metric anomaly detection configuration" assert detection_config.name is not None assert detection_config.whole_series_detection_condition.condition_operator == "AND" assert detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage == 50 assert detection_config.whole_series_detection_condition.change_threshold_condition.shift_point == 30 assert detection_config.whole_series_detection_condition.change_threshold_condition.within_range assert detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 2 assert detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound == 0 assert detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 5 assert detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity == 50 assert detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 5 assert detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity == 63 assert detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.series_detection_conditions[0].series_key == {'region': 'Shenzhen', 'category': 'Jewelry'} assert detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity == 63 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.series_group_detection_conditions[0].series_group_key == {'region': 'Sao Paulo'} finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True) @recorded_by_proxy def test_create_ad_conf_series_and_group_conds(self, client, variables): detection_config_name = self.create_random_name("testdetectionconfig") if self.is_live: variables["detection_config_name"] = detection_config_name try: detection_config = client.create_detection_configuration( name=variables["detection_config_name"], metric_id=variables["data_feed_metric_id"], description="My test metric anomaly detection configuration", whole_series_detection_condition=MetricDetectionCondition( condition_operator="AND", smart_detection_condition=SmartDetectionCondition( sensitivity=50, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ) ), hard_threshold_condition=HardThresholdCondition( anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ), lower_bound=0, upper_bound=100 ), change_threshold_condition=ChangeThresholdCondition( change_percentage=50, shift_point=30, within_range=True, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=2, min_ratio=2 ) ) ), series_detection_conditions=[ MetricSingleSeriesDetectionCondition( series_key={"region": "Shenzhen", "category": "Jewelry"}, condition_operator="AND", smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ), hard_threshold_condition=HardThresholdCondition( anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ), lower_bound=0, upper_bound=100 ), change_threshold_condition=ChangeThresholdCondition( change_percentage=50, shift_point=30, within_range=True, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=2, min_ratio=2 ) ) ), MetricSingleSeriesDetectionCondition( series_key={"region": "Osaka", "category": "Cell Phones"}, condition_operator="AND", smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ) ) ], series_group_detection_conditions=[ MetricSeriesGroupDetectionCondition( series_group_key={"region": "Sao Paulo"}, condition_operator="AND", smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ), hard_threshold_condition=HardThresholdCondition( anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=5, min_ratio=5 ), lower_bound=0, upper_bound=100 ), change_threshold_condition=ChangeThresholdCondition( change_percentage=50, shift_point=30, within_range=True, anomaly_detector_direction="Both", suppress_condition=SuppressCondition( min_number=2, min_ratio=2 ) ) ), MetricSeriesGroupDetectionCondition( series_group_key={"region": "Seoul"}, condition_operator="AND", smart_detection_condition=SmartDetectionCondition( anomaly_detector_direction="Both", sensitivity=63, suppress_condition=SuppressCondition( min_number=1, min_ratio=100 ) ) ) ] ) assert detection_config.id is not None assert detection_config.metric_id == variables["data_feed_metric_id"] assert detection_config.description == "My test metric anomaly detection configuration" assert detection_config.name is not None # whole series detection condition assert detection_config.whole_series_detection_condition.condition_operator == "AND" assert detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage == 50 assert detection_config.whole_series_detection_condition.change_threshold_condition.shift_point == 30 assert detection_config.whole_series_detection_condition.change_threshold_condition.within_range assert detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 2 assert detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound == 0 assert detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 5 assert detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity == 50 assert detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 5 # series detection conditions assert detection_config.series_detection_conditions[0].series_key == {'region': 'Shenzhen', 'category': 'Jewelry'} assert detection_config.series_detection_conditions[0].condition_operator == "AND" assert detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity == 63 assert detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.series_detection_conditions[0].change_threshold_condition.change_percentage == 50 assert detection_config.series_detection_conditions[0].change_threshold_condition.shift_point == 30 assert detection_config.series_detection_conditions[0].change_threshold_condition.within_range assert detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 2 assert detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert detection_config.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.series_detection_conditions[0].hard_threshold_condition.lower_bound == 0 assert detection_config.series_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 5 assert detection_config.series_detection_conditions[1].series_key == {"region": "Osaka", "category": "Cell Phones"} assert detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_detection_conditions[1].smart_detection_condition.sensitivity == 63 assert detection_config.series_detection_conditions[1].smart_detection_condition.anomaly_detector_direction == "Both" # series group detection conditions assert detection_config.series_group_detection_conditions[0].series_group_key == {"region": "Sao Paulo"} assert detection_config.series_group_detection_conditions[0].condition_operator == "AND" assert detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity == 63 assert detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Both" assert detection_config.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.series_group_detection_conditions[0].change_threshold_condition.change_percentage == 50 assert detection_config.series_group_detection_conditions[0].change_threshold_condition.shift_point == 30 assert detection_config.series_group_detection_conditions[0].change_threshold_condition.within_range assert detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 2 assert detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert detection_config.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Both" assert detection_config.series_group_detection_conditions[0].hard_threshold_condition.lower_bound == 0 assert detection_config.series_group_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 5 assert detection_config.series_group_detection_conditions[1].series_group_key == {"region": "Seoul"} assert detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio == 100 assert detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_number == 1 assert detection_config.series_group_detection_conditions[1].smart_detection_condition.sensitivity == 63 assert detection_config.series_group_detection_conditions[1].smart_detection_condition.anomaly_detector_direction == "Both" finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", API_KEY, ids=ids) # API key only. AAD error: (Forbidden) You do not have sufficient permissions on this Metric. @MetricsAdvisorPreparer() @recorded_by_proxy def test_list_detection_configs(self, client): configs = client.list_detection_configurations(metric_id=self.metric_id) assert len(list(configs)) > 0 @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True, detection_config=True) @recorded_by_proxy def test_update_detection_config_with_model(self, client, variables): try: detection_config = client.get_detection_configuration(variables["detection_config_id"]) update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name detection_config.name = variables["data_feed_updated_name"] detection_config.description = "updated" change_threshold_condition = ChangeThresholdCondition( anomaly_detector_direction="Both", change_percentage=20, shift_point=10, within_range=True, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) hard_threshold_condition = HardThresholdCondition( anomaly_detector_direction="Up", upper_bound=100, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) smart_detection_condition = SmartDetectionCondition( anomaly_detector_direction="Up", sensitivity=10, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) detection_config.series_detection_conditions[0].change_threshold_condition = change_threshold_condition detection_config.series_detection_conditions[0].hard_threshold_condition = hard_threshold_condition detection_config.series_detection_conditions[0].smart_detection_condition = smart_detection_condition detection_config.series_detection_conditions[0].condition_operator = "AND" detection_config.series_group_detection_conditions[0].change_threshold_condition = change_threshold_condition detection_config.series_group_detection_conditions[0].hard_threshold_condition = hard_threshold_condition detection_config.series_group_detection_conditions[0].smart_detection_condition = smart_detection_condition detection_config.series_group_detection_conditions[0].condition_operator = "AND" detection_config.whole_series_detection_condition.hard_threshold_condition = hard_threshold_condition detection_config.whole_series_detection_condition.smart_detection_condition = smart_detection_condition detection_config.whole_series_detection_condition.change_threshold_condition = change_threshold_condition detection_config.whole_series_detection_condition.condition_operator = "OR" client.update_detection_configuration(detection_config) updated = client.get_detection_configuration(variables["detection_config_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.description == "updated" assert updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_detection_conditions[0].change_threshold_condition.within_range assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].condition_operator == "AND" assert updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_group_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_group_detection_conditions[0].change_threshold_condition.within_range assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].condition_operator == "AND" assert updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert updated.whole_series_detection_condition.change_threshold_condition.change_percentage == 20 assert updated.whole_series_detection_condition.change_threshold_condition.shift_point == 10 assert updated.whole_series_detection_condition.change_threshold_condition.within_range assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.smart_detection_condition.sensitivity == 10 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.condition_operator == "OR" finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True, detection_config=True) @recorded_by_proxy def test_update_detection_config_with_kwargs(self, client, variables): try: change_threshold_condition = ChangeThresholdCondition( anomaly_detector_direction="Both", change_percentage=20, shift_point=10, within_range=True, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) hard_threshold_condition = HardThresholdCondition( anomaly_detector_direction="Up", upper_bound=100, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) smart_detection_condition = SmartDetectionCondition( anomaly_detector_direction="Up", sensitivity=10, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name client.update_detection_configuration( variables["detection_config_id"], name=variables["data_feed_updated_name"], description="updated", whole_series_detection_condition=MetricDetectionCondition( condition_operator="OR", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition ), series_detection_conditions=[MetricSingleSeriesDetectionCondition( series_key={"region": "San Paulo", "category": "Jewelry"}, condition_operator="AND", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition )], series_group_detection_conditions=[MetricSeriesGroupDetectionCondition( series_group_key={"region": "Shenzen"}, condition_operator="AND", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition )] ) updated = client.get_detection_configuration(variables["detection_config_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.description == "updated" assert updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_detection_conditions[0].change_threshold_condition.within_range assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].condition_operator == "AND" assert updated.series_detection_conditions[0].series_key == {"region": "San Paulo", "category": "Jewelry"} assert updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_group_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_group_detection_conditions[0].change_threshold_condition.within_range assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].condition_operator == "AND" assert updated.series_group_detection_conditions[0].series_group_key == {"region": "Shenzen"} assert updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert updated.whole_series_detection_condition.change_threshold_condition.change_percentage == 20 assert updated.whole_series_detection_condition.change_threshold_condition.shift_point == 10 assert updated.whole_series_detection_condition.change_threshold_condition.within_range assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.smart_detection_condition.sensitivity == 10 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.condition_operator == "OR" finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True, detection_config=True) @recorded_by_proxy def test_update_ad_conf_model_and_kwargs(self, client, variables): try: detection_config = client.get_detection_configuration(variables["detection_config_id"]) change_threshold_condition = ChangeThresholdCondition( anomaly_detector_direction="Both", change_percentage=20, shift_point=10, within_range=True, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) hard_threshold_condition = HardThresholdCondition( anomaly_detector_direction="Up", upper_bound=100, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) smart_detection_condition = SmartDetectionCondition( anomaly_detector_direction="Up", sensitivity=10, suppress_condition=SuppressCondition( min_number=5, min_ratio=2 ) ) update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name detection_config.name = variables["data_feed_updated_name"] detection_config.description = "updateMe" client.update_detection_configuration( detection_config, whole_series_detection_condition=MetricDetectionCondition( condition_operator="OR", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition ), series_detection_conditions=[MetricSingleSeriesDetectionCondition( series_key={"region": "San Paulo", "category": "Jewelry"}, condition_operator="AND", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition )], series_group_detection_conditions=[MetricSeriesGroupDetectionCondition( series_group_key={"region": "Shenzen"}, condition_operator="AND", smart_detection_condition=smart_detection_condition, hard_threshold_condition=hard_threshold_condition, change_threshold_condition=change_threshold_condition )] ) updated = client.get_detection_configuration(variables["detection_config_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.description == "updateMe" assert updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_detection_conditions[0].change_threshold_condition.within_range assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_detection_conditions[0].condition_operator == "AND" assert updated.series_detection_conditions[0].series_key == {"region": "San Paulo", "category": "Jewelry"} assert updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction == "Both" assert updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage == 20 assert updated.series_group_detection_conditions[0].change_threshold_condition.shift_point == 10 assert updated.series_group_detection_conditions[0].change_threshold_condition.within_range assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound == 100 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction == "Up" assert updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity == 10 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number == 5 assert updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.series_group_detection_conditions[0].condition_operator == "AND" assert updated.series_group_detection_conditions[0].series_group_key == {"region": "Shenzen"} assert updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction == "Both" assert updated.whole_series_detection_condition.change_threshold_condition.change_percentage == 20 assert updated.whole_series_detection_condition.change_threshold_condition.shift_point == 10 assert updated.whole_series_detection_condition.change_threshold_condition.within_range assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.hard_threshold_condition.upper_bound == 100 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction == "Up" assert updated.whole_series_detection_condition.smart_detection_condition.sensitivity == 10 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number == 5 assert updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio == 2 assert updated.whole_series_detection_condition.condition_operator == "OR" finally: self.clean_up(client.delete_data_feed, variables) return variables @pytest.mark.parametrize("credential", CREDENTIALS, ids=ids) @MetricsAdvisorPreparer(data_feed=True, detection_config=True) @recorded_by_proxy def test_update_ad_conf_by_reset_props(self, client, variables): try: update_name = "update" + str(uuid.uuid4()) if self.is_live: variables["data_feed_updated_name"] = update_name client.update_detection_configuration( variables["detection_config_id"], name=variables["data_feed_updated_name"], description="", # series_detection_conditions=None, # series_group_detection_conditions=None ) updated = client.get_detection_configuration(variables["detection_config_id"]) assert updated.name == variables["data_feed_updated_name"] assert updated.description == "" # currently won't update with None # service bug says these are required # assert updated.series_detection_conditions == None # assert updated.series_group_detection_conditions == None finally: self.clean_up(client.delete_data_feed, variables) return variables