revert creation takes full object change (Azure#14957)

* revert creation takes full object change

sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md

@@ -4,9 +4,6 @@
 
 **Breaking Changes**
 
-- `create_data_feed` now takes as input a `DataFeed` object
-- `create_metric_anomaly_detection_configuration` now takes as input an `AnomalyDetectionConfiguration` object
-- `create_anomaly_detection_configuration` now takes as input an `AnomalyAlertConfiguration` object
 - `create_hook` now takes as input an `EmailHook` or `WebHook`
 - `Anomaly` has been renamed to `DataPointAnomaly`
 - `Incident` has been renamed to `AnomalyIncident`
@@ -25,6 +22,21 @@
 - `timestamp_list` has been renamed to `timestamps` on `MetricSeriesData`
 - `value_list` has been renamed to `values` on `MetricSeriesData`
 - `SeriesResult` has been renamed to `MetricEnrichedSeriesData`
+- `create_anomaly_alert_configuration` has been renamed to `create_alert_configuration`
+- `get_anomaly_alert_configuration` has been renamed to `get_alert_configuration`
+- `delete_anomaly_alert_configuration` has been renamed to `delete_alert_configuration`
+- `update_anomaly_alert_configuration` has been renamed to `update_alert_configuration`
+- `list_anomaly_alert_configurations` has been renamed to `list_alert_configurations`
+- `create_metric_anomaly_detection_configuration` has been renamed to `create_detection_configuration`
+- `get_metric_anomaly_detection_configuration` has been renamed to `get_detection_configuration`
+- `delete_metric_anomaly_detection_configuration` has been renamed to `delete_detection_configuration`
+- `update_metric_anomaly_detection_configuration` has been renamed to `update_detection_configuration`
+- `list_metric_anomaly_detection_configurations` has been renamed to `list_detection_configurations`
+- `list_feedbacks` has been renamed to `list_feedback`
+- `list_alerts_for_alert_configuration` has been renamed to `list_alerts`
+- `list_anomalies_for_alert` & `list_anomalies_for_detection_configuration` have been grouped into `list_anomalies`
+- `list_dimension_values_for_detection_configuration` has been renamed to `list_dimension_values`
+- `list_incidents_for_alert` & `list_incidents_for_detection_configuration` have been grouped into `list_incidents`
 
 **New Features**
 

sdk/metricsadvisor/azure-ai-metricsadvisor/README.md

@@ -124,9 +124,6 @@ from azure.ai.metricsadvisor.models import (
         DataFeedDimension,
         DataFeedOptions,
         DataFeedRollupSettings,
-        DataFeedMissingDataPointFillSettings,
-        DataFeedGranularity,
-        DataFeed
     )
 
 service_endpoint = os.getenv("ENDPOINT")
@@ -140,13 +137,13 @@ client = MetricsAdvisorAdministrationClient(
     MetricsAdvisorKeyCredential(subscription_key, api_key)
 )
 
-data_feed = DataFeed(
+data_feed = client.create_data_feed(
     name="My data feed",
     source=SQLServerDataFeed(
         connection_string=sql_server_connection_string,
         query=query,
     ),
-    granularity=DataFeedGranularity("Daily"),
+    granularity="Daily",
     schema=DataFeedSchema(
         metrics=[
             DataFeedMetric(name="cost", display_name="Cost"),
@@ -158,9 +155,7 @@ data_feed = DataFeed(
         ],
         timestamp_column="Timestamp"
     ),
-    ingestion_settings=DataFeedIngestionSettings(
-        ingestion_begin_time=datetime.datetime(2019, 10, 1)
-    ),
+    ingestion_settings=datetime.datetime(2019, 10, 1),
     options=DataFeedOptions(
         data_feed_description="cost/revenue data feed",
         rollup_settings=DataFeedRollupSettings(
@@ -175,9 +170,7 @@ data_feed = DataFeed(
     )
 )
 
-my_sql_data_feed = client.create_data_feed(data_feed)
-
-return my_sql_data_feed
+return data_feed
 ```
 
 ### Check ingestion status
@@ -220,7 +213,6 @@ from azure.ai.metricsadvisor.models import (
     SmartDetectionCondition,
     SuppressCondition,
     MetricDetectionCondition,
-    AnomalyDetectionConfiguration
 )
 
 service_endpoint = os.getenv("ENDPOINT")
@@ -260,7 +252,7 @@ smart_detection_condition = SmartDetectionCondition(
     )
 )
 
-anomaly_detection_config = AnomalyDetectionConfiguration(
+detection_config = client.create_detection_configuration(
     name="my_detection_config",
     metric_id=metric_id,
     description="anomaly detection config for metric",
@@ -271,9 +263,6 @@ anomaly_detection_config = AnomalyDetectionConfiguration(
         smart_detection_condition=smart_detection_condition
     )
 )
-
-detection_config = client.create_detection_configuration(anomaly_detection_config)
-
 return detection_config
 ```
 
@@ -291,7 +280,6 @@ from azure.ai.metricsadvisor.models import (
     SeverityCondition,
     MetricBoundaryCondition,
     MetricAnomalyAlertSnoozeCondition,
-    AnomalyAlertConfiguration
 )
 service_endpoint = os.getenv("ENDPOINT")
 subscription_key = os.getenv("SUBSCRIPTION_KEY")
@@ -304,7 +292,7 @@ client = MetricsAdvisorAdministrationClient(
     MetricsAdvisorKeyCredential(subscription_key, api_key)
 )
 
-anomaly_alert_configuration = AnomalyAlertConfiguration(
+alert_config = client.create_alert_configuration(
     name="my alert config",
     description="alert config description",
     cross_metrics_operator="AND",
@@ -347,8 +335,6 @@ anomaly_alert_configuration = AnomalyAlertConfiguration(
     hook_ids=[hook_id]
 )
 
-alert_config = client.create_anomaly_alert_configuration(anomaly_alert_configuration)
-
 return alert_config
 ```
 

sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/_helpers.py

@@ -15,6 +15,11 @@
 from msrest import Serializer
 from azure.core.exceptions import HttpResponseError
 from .models import (
+    DataFeedGranularityType,
+    DataFeedGranularity,
+    DataFeedSchema,
+    DataFeedMetric,
+    DataFeedIngestionSettings,
     AnomalyFeedback,
     ChangePointFeedback,
     CommentFeedback,
@@ -125,6 +130,21 @@ def convert_to_generated_data_feed_type(
     :return: The generated model for the data source type
     """
 
+    if isinstance(granularity, (DataFeedGranularityType, six.string_types)):
+        granularity = DataFeedGranularity(
+            granularity_type=granularity,
+        )
+
+    if isinstance(schema, list):
+        schema = DataFeedSchema(
+            metrics=[DataFeedMetric(name=metric_name) for metric_name in schema]
+        )
+
+    if isinstance(ingestion_settings, (datetime.datetime, six.string_types)):
+        ingestion_settings = DataFeedIngestionSettings(
+            ingestion_begin_time=ingestion_settings
+        )
+
     return generated_feed_type(
         data_source_parameter=source.__dict__,
         data_feed_name=name,