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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.
# --------------------------------------------------------------------------
import pytest
from azure.core.exceptions import ResourceNotFoundError
from azure.ai.metricsadvisor.models import (
MetricDetectionCondition,
MetricSeriesGroupDetectionCondition,
MetricSingleSeriesDetectionCondition,
SmartDetectionCondition,
SuppressCondition,
ChangeThresholdCondition,
HardThresholdCondition,
)
from base_testcase import TestMetricsAdvisorAdministrationClientBase
class TestMetricsAdvisorAdministrationClient(TestMetricsAdvisorAdministrationClientBase):
def test_create_ad_config_whole_series_detection(self):
data_feed = self._create_data_feed("adconfig")
try:
detection_config_name = self.create_random_name("testdetectionconfig")
config = self.admin_client.create_detection_configuration(
name=detection_config_name,
metric_id=data_feed.metric_ids[0],
description="My test metric anomaly detection configuration",
whole_series_detection_condition=MetricDetectionCondition(
cross_conditions_operator="OR",
smart_detection_condition=SmartDetectionCondition(
sensitivity=50,
anomaly_detector_direction="Both",
suppress_condition=SuppressCondition(
min_number=50,
min_ratio=50
)
),
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
)
)
)
)
self.assertIsNotNone(config.id)
self.assertEqual(config.metric_id, data_feed.metric_ids[0])
self.assertEqual(config.description, "My test metric anomaly detection configuration")
self.assertIsNotNone(config.name)
self.assertIsNone(config.series_detection_conditions)
self.assertIsNone(config.series_group_detection_conditions)
self.assertEqual(config.whole_series_detection_condition.cross_conditions_operator, "OR")
self.assertEqual(
config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
self.assertEqual(config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
self.assertTrue(config.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(
config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
self.assertEqual(
config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(
config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
self.assertEqual(config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(
config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(
config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
self.assertEqual(
config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
self.assertEqual(
config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
self.assertEqual(
config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
self.admin_client.delete_detection_configuration(config.id)
with self.assertRaises(ResourceNotFoundError):
self.admin_client.get_detection_configuration(config.id)
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_create_ad_config_with_series_and_group_conds(self):
data_feed = self._create_data_feed("adconfigget")
try:
detection_config_name = self.create_random_name("testdetectionconfiget")
detection_config = self.admin_client.create_detection_configuration(
name=detection_config_name,
metric_id=data_feed.metric_ids[0],
description="My test metric anomaly detection configuration",
whole_series_detection_condition=MetricDetectionCondition(
cross_conditions_operator="AND",
smart_detection_condition=SmartDetectionCondition(
sensitivity=50,
anomaly_detector_direction="Both",
suppress_condition=SuppressCondition(
min_number=50,
min_ratio=50
)
),
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={"city": "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={"city": "Sao Paulo"},
smart_detection_condition=SmartDetectionCondition(
anomaly_detector_direction="Both",
sensitivity=63,
suppress_condition=SuppressCondition(
min_number=1,
min_ratio=100
)
)
)]
)
self.assertIsNotNone(detection_config.id)
self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
self.assertIsNotNone(detection_config.name)
self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(
detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(
detection_config.series_group_detection_conditions[0].series_group_key, {'city': 'Sao Paulo'})
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_create_ad_config_multiple_series_and_group_conds(self):
data_feed = self._create_data_feed("datafeedforconfig")
try:
detection_config_name = self.create_random_name("multipledetectionconfigs")
detection_config = self.admin_client.create_detection_configuration(
name=detection_config_name,
metric_id=data_feed.metric_ids[0],
description="My test metric anomaly detection configuration",
whole_series_detection_condition=MetricDetectionCondition(
cross_conditions_operator="AND",
smart_detection_condition=SmartDetectionCondition(
sensitivity=50,
anomaly_detector_direction="Both",
suppress_condition=SuppressCondition(
min_number=50,
min_ratio=50
)
),
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={"city": "Shenzhen", "category": "Jewelry"},
cross_conditions_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={"city": "Osaka", "category": "Cell Phones"},
cross_conditions_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={"city": "Sao Paulo"},
cross_conditions_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={"city": "Seoul"},
cross_conditions_operator="AND",
smart_detection_condition=SmartDetectionCondition(
anomaly_detector_direction="Both",
sensitivity=63,
suppress_condition=SuppressCondition(
min_number=1,
min_ratio=100
)
)
)
]
)
self.assertIsNotNone(detection_config.id)
self.assertEqual(detection_config.metric_id, data_feed.metric_ids[0])
self.assertEqual(detection_config.description, "My test metric anomaly detection configuration")
self.assertIsNotNone(detection_config.name)
# whole series detection condition
self.assertEqual(detection_config.whole_series_detection_condition.cross_conditions_operator, "AND")
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.change_percentage, 50)
self.assertEqual(detection_config.whole_series_detection_condition.change_threshold_condition.shift_point, 30)
self.assertTrue(detection_config.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 2)
self.assertEqual(
detection_config.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.lower_bound, 0)
self.assertEqual(detection_config.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(
detection_config.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 5)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.whole_series_detection_condition.smart_detection_condition.sensitivity, 50)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 50)
self.assertEqual(
detection_config.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 50)
# series detection conditions
self.assertEqual(
detection_config.series_detection_conditions[0].series_key, {'city': 'Shenzhen', 'category': 'Jewelry'})
self.assertEqual(detection_config.series_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(
detection_config.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.change_percentage, 50)
self.assertEqual(detection_config.series_detection_conditions[0].change_threshold_condition.shift_point, 30)
self.assertTrue(detection_config.series_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(
detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
self.assertEqual(
detection_config.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(
detection_config.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
self.assertEqual(detection_config.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(
detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(
detection_config.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
self.assertEqual(
detection_config.series_detection_conditions[1].series_key, {"city": "Osaka", "category": "Cell Phones"})
self.assertEqual(
detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_detection_conditions[1].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
# series group detection conditions
self.assertEqual(
detection_config.series_group_detection_conditions[0].series_group_key, {"city": "Sao Paulo"})
self.assertEqual(detection_config.series_group_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Both")
self.assertEqual(
detection_config.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 50)
self.assertEqual(detection_config.series_group_detection_conditions[0].change_threshold_condition.shift_point, 30)
self.assertTrue(detection_config.series_group_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(
detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 2)
self.assertEqual(
detection_config.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(
detection_config.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.lower_bound, 0)
self.assertEqual(detection_config.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(
detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(
detection_config.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 5)
self.assertEqual(
detection_config.series_group_detection_conditions[1].series_group_key, {"city": "Seoul"})
self.assertEqual(
detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_ratio, 100)
self.assertEqual(
detection_config.series_group_detection_conditions[1].smart_detection_condition.suppress_condition.min_number, 1)
self.assertEqual(
detection_config.series_group_detection_conditions[1].smart_detection_condition.sensitivity, 63)
self.assertEqual(
detection_config.series_group_detection_conditions[1].smart_detection_condition.anomaly_detector_direction, "Both")
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_list_detection_configs(self):
configs = self.admin_client.list_detection_configurations(metric_id=self.metric_id)
assert len(list(configs)) > 0
def test_update_detection_config_with_model(self):
try:
detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
detection_config.name = "updated"
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].cross_conditions_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].cross_conditions_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.cross_conditions_operator = "OR"
updated = self.admin_client.update_detection_configuration(detection_config)
self.assertEqual(updated.name, "updated")
self.assertEqual(updated.description, "updated")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_update_detection_config_with_kwargs(self):
try:
detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
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
)
)
updated = self.admin_client.update_detection_configuration(
detection_config.id,
name="updated",
description="updated",
whole_series_detection_condition=MetricDetectionCondition(
cross_conditions_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={"city": "San Paulo", "category": "Jewelry"},
cross_conditions_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={"city": "Shenzen"},
cross_conditions_operator="AND",
smart_detection_condition=smart_detection_condition,
hard_threshold_condition=hard_threshold_condition,
change_threshold_condition=change_threshold_condition
)]
)
self.assertEqual(updated.name, "updated")
self.assertEqual(updated.description, "updated")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_update_detection_config_with_model_and_kwargs(self):
try:
detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
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.name = "updateMe"
detection_config.description = "updateMe"
updated = self.admin_client.update_detection_configuration(
detection_config,
whole_series_detection_condition=MetricDetectionCondition(
cross_conditions_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={"city": "San Paulo", "category": "Jewelry"},
cross_conditions_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={"city": "Shenzen"},
cross_conditions_operator="AND",
smart_detection_condition=smart_detection_condition,
hard_threshold_condition=hard_threshold_condition,
change_threshold_condition=change_threshold_condition
)]
)
self.assertEqual(updated.name, "updateMe")
self.assertEqual(updated.description, "updateMe")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.series_detection_conditions[0].series_key, {"city": "San Paulo", "category": "Jewelry"})
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.shift_point, 10)
self.assertTrue(updated.series_group_detection_conditions[0].change_threshold_condition.within_range)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.series_group_detection_conditions[0].smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.series_group_detection_conditions[0].cross_conditions_operator, "AND")
self.assertEqual(updated.series_group_detection_conditions[0].series_group_key, {"city": "Shenzen"})
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.anomaly_detector_direction, "Both")
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.change_percentage, 20)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.shift_point, 10)
self.assertTrue(updated.whole_series_detection_condition.change_threshold_condition.within_range)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.change_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.upper_bound, 100)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.hard_threshold_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.anomaly_detector_direction, "Up")
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.sensitivity, 10)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_number, 5)
self.assertEqual(updated.whole_series_detection_condition.smart_detection_condition.suppress_condition.min_ratio, 2)
self.assertEqual(updated.whole_series_detection_condition.cross_conditions_operator, "OR")
finally:
self.admin_client.delete_data_feed(data_feed.id)
def test_update_detection_config_by_resetting_properties(self):
try:
detection_config, data_feed = self._create_detection_config_for_update("updatedetection")
updated = self.admin_client.update_detection_configuration(
detection_config.id,
name="reset",
description="",
# series_detection_conditions=None,
# series_group_detection_conditions=None
)
self.assertEqual(updated.name, "reset")
self.assertEqual(updated.description, "") # currently won't update with None
# service bug says these are required
# self.assertEqual(updated.series_detection_conditions, None)
# self.assertEqual(updated.series_group_detection_conditions, None)
finally:
self.admin_client.delete_data_feed(data_feed.id)
|
