Azure · openapi-sdkautomation · Nov 4, 2020
@@ -116,7 +116,9 @@ def models(cls, api_version=DEFAULT_API_VERSION):
            * 2019-03-01: :mod:`v2019_03_01.models<azure.mgmt.monitor.v2019_03_01.models>`
            * 2019-06-01: :mod:`v2019_06_01.models<azure.mgmt.monitor.v2019_06_01.models>`
            * 2019-10-17-preview: :mod:`v2019_10_17.models<azure.mgmt.monitor.v2019_10_17.models>`
+           * 2019-11-01-preview: :mod:`v2019_11_01_preview.models<azure.mgmt.monitor.v2019_11_01_preview.models>`
            * 2020-01-01-preview: :mod:`v2020_01_01_preview.models<azure.mgmt.monitor.v2020_01_01_preview.models>`
+           * 2020-05-01-preview: :mod:`v2020_05_01_preview.models<azure.mgmt.monitor.v2020_05_01_preview.models>`
         """
         if api_version == '2015-04-01':
             from .v2015_04_01 import models
@@ -172,9 +174,15 @@ def models(cls, api_version=DEFAULT_API_VERSION):
         elif api_version == '2019-10-17-preview':
             from .v2019_10_17 import models
             return models
+        elif api_version == '2019-11-01-preview':
+            from .v2019_11_01_preview import models
+            return models
         elif api_version == '2020-01-01-preview':
             from .v2020_01_01_preview import models
             return models
+        elif api_version == '2020-05-01-preview':
+            from .v2020_05_01_preview import models
+            return models
         raise NotImplementedError("APIVersion {} is not available".format(api_version))
 
     @property
@@ -296,6 +304,32 @@ def baselines(self):
             raise NotImplementedError("APIVersion {} is not available".format(api_version))
         return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))
 
+    @property
+    def data_collection_rule_associations(self):
+        """Instance depends on the API version:
+
+           * 2019-11-01-preview: :class:`DataCollectionRuleAssociationsOperations<azure.mgmt.monitor.v2019_11_01_preview.operations.DataCollectionRuleAssociationsOperations>`
+        """
+        api_version = self._get_api_version('data_collection_rule_associations')
+        if api_version == '2019-11-01-preview':
+            from .v2019_11_01_preview.operations import DataCollectionRuleAssociationsOperations as OperationClass
+        else:
+            raise NotImplementedError("APIVersion {} is not available".format(api_version))
+        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))
+
+    @property
+    def data_collection_rules(self):
+        """Instance depends on the API version:
+
+           * 2019-11-01-preview: :class:`DataCollectionRulesOperations<azure.mgmt.monitor.v2019_11_01_preview.operations.DataCollectionRulesOperations>`
+        """
+        api_version = self._get_api_version('data_collection_rules')
+        if api_version == '2019-11-01-preview':
+            from .v2019_11_01_preview.operations import DataCollectionRulesOperations as OperationClass
+        else:
+            raise NotImplementedError("APIVersion {} is not available".format(api_version))
+        return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))
+
     @property
     def diagnostic_settings(self):
         """Instance depends on the API version:
@@ -563,10 +597,13 @@ def scheduled_query_rules(self):
         """Instance depends on the API version:
 
            * 2018-04-16: :class:`ScheduledQueryRulesOperations<azure.mgmt.monitor.v2018_04_16.operations.ScheduledQueryRulesOperations>`
+           * 2020-05-01-preview: :class:`ScheduledQueryRulesOperations<azure.mgmt.monitor.v2020_05_01_preview.operations.ScheduledQueryRulesOperations>`
         """
         api_version = self._get_api_version('scheduled_query_rules')
         if api_version == '2018-04-16':
             from .v2018_04_16.operations import ScheduledQueryRulesOperations as OperationClass
+        elif api_version == '2020-05-01-preview':
+            from .v2020_05_01_preview.operations import ScheduledQueryRulesOperations as OperationClass
         else:
             raise NotImplementedError("APIVersion {} is not available".format(api_version))
         return OperationClass(self._client, self.config, Serializer(self._models_dict(api_version)), Deserializer(self._models_dict(api_version)))

@@ -332,6 +332,10 @@ class MultiMetricCriteria(Model):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     """
@@ -350,6 +354,7 @@ class MultiMetricCriteria(Model):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
     }
 
@@ -365,6 +370,7 @@ def __init__(self, **kwargs):
         self.metric_namespace = kwargs.get('metric_namespace', None)
         self.time_aggregation = kwargs.get('time_aggregation', None)
         self.dimensions = kwargs.get('dimensions', None)
+        self.skip_metric_validation = kwargs.get('skip_metric_validation', None)
         self.criterion_type = None
 
 
@@ -387,6 +393,10 @@ class DynamicMetricCriteria(MultiMetricCriteria):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     :param operator: Required. The operator used to compare the metric value
@@ -427,6 +437,7 @@ class DynamicMetricCriteria(MultiMetricCriteria):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
         'operator': {'key': 'operator', 'type': 'str'},
         'alert_sensitivity': {'key': 'alertSensitivity', 'type': 'str'},
@@ -1057,6 +1068,10 @@ class MetricCriteria(MultiMetricCriteria):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     :param operator: Required. the criteria operator. Possible values include:
@@ -1084,6 +1099,7 @@ class MetricCriteria(MultiMetricCriteria):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
         'operator': {'key': 'operator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},

@@ -332,6 +332,10 @@ class MultiMetricCriteria(Model):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     """
@@ -350,21 +354,23 @@ class MultiMetricCriteria(Model):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
     }
 
     _subtype_map = {
         'criterion_type': {'StaticThresholdCriterion': 'MetricCriteria', 'DynamicThresholdCriterion': 'DynamicMetricCriteria'}
     }
 
-    def __init__(self, *, name: str, metric_name: str, time_aggregation, additional_properties=None, metric_namespace: str=None, dimensions=None, **kwargs) -> None:
+    def __init__(self, *, name: str, metric_name: str, time_aggregation, additional_properties=None, metric_namespace: str=None, dimensions=None, skip_metric_validation: bool=None, **kwargs) -> None:
         super(MultiMetricCriteria, self).__init__(**kwargs)
         self.additional_properties = additional_properties
         self.name = name
         self.metric_name = metric_name
         self.metric_namespace = metric_namespace
         self.time_aggregation = time_aggregation
         self.dimensions = dimensions
+        self.skip_metric_validation = skip_metric_validation
         self.criterion_type = None
 
 
@@ -387,6 +393,10 @@ class DynamicMetricCriteria(MultiMetricCriteria):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     :param operator: Required. The operator used to compare the metric value
@@ -427,15 +437,16 @@ class DynamicMetricCriteria(MultiMetricCriteria):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
         'operator': {'key': 'operator', 'type': 'str'},
         'alert_sensitivity': {'key': 'alertSensitivity', 'type': 'str'},
         'failing_periods': {'key': 'failingPeriods', 'type': 'DynamicThresholdFailingPeriods'},
         'ignore_data_before': {'key': 'ignoreDataBefore', 'type': 'iso-8601'},
     }
 
-    def __init__(self, *, name: str, metric_name: str, time_aggregation, operator, alert_sensitivity, failing_periods, additional_properties=None, metric_namespace: str=None, dimensions=None, ignore_data_before=None, **kwargs) -> None:
-        super(DynamicMetricCriteria, self).__init__(additional_properties=additional_properties, name=name, metric_name=metric_name, metric_namespace=metric_namespace, time_aggregation=time_aggregation, dimensions=dimensions, **kwargs)
+    def __init__(self, *, name: str, metric_name: str, time_aggregation, operator, alert_sensitivity, failing_periods, additional_properties=None, metric_namespace: str=None, dimensions=None, skip_metric_validation: bool=None, ignore_data_before=None, **kwargs) -> None:
+        super(DynamicMetricCriteria, self).__init__(additional_properties=additional_properties, name=name, metric_name=metric_name, metric_namespace=metric_namespace, time_aggregation=time_aggregation, dimensions=dimensions, skip_metric_validation=skip_metric_validation, **kwargs)
         self.operator = operator
         self.alert_sensitivity = alert_sensitivity
         self.failing_periods = failing_periods
@@ -1057,6 +1068,10 @@ class MetricCriteria(MultiMetricCriteria):
     :param dimensions: List of dimension conditions.
     :type dimensions:
      list[~azure.mgmt.monitor.v2018_03_01.models.MetricDimension]
+    :param skip_metric_validation: Allows creating an alert rule on a custom
+     metric that isn't yet emitted, by causing the metric validation to be
+     skipped.
+    :type skip_metric_validation: bool
     :param criterion_type: Required. Constant filled by server.
     :type criterion_type: str
     :param operator: Required. the criteria operator. Possible values include:
@@ -1084,13 +1099,14 @@ class MetricCriteria(MultiMetricCriteria):
         'metric_namespace': {'key': 'metricNamespace', 'type': 'str'},
         'time_aggregation': {'key': 'timeAggregation', 'type': 'object'},
         'dimensions': {'key': 'dimensions', 'type': '[MetricDimension]'},
+        'skip_metric_validation': {'key': 'skipMetricValidation', 'type': 'bool'},
         'criterion_type': {'key': 'criterionType', 'type': 'str'},
         'operator': {'key': 'operator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},
     }
 
-    def __init__(self, *, name: str, metric_name: str, time_aggregation, operator, threshold: float, additional_properties=None, metric_namespace: str=None, dimensions=None, **kwargs) -> None:
-        super(MetricCriteria, self).__init__(additional_properties=additional_properties, name=name, metric_name=metric_name, metric_namespace=metric_namespace, time_aggregation=time_aggregation, dimensions=dimensions, **kwargs)
+    def __init__(self, *, name: str, metric_name: str, time_aggregation, operator, threshold: float, additional_properties=None, metric_namespace: str=None, dimensions=None, skip_metric_validation: bool=None, **kwargs) -> None:
+        super(MetricCriteria, self).__init__(additional_properties=additional_properties, name=name, metric_name=metric_name, metric_namespace=metric_namespace, time_aggregation=time_aggregation, dimensions=dimensions, skip_metric_validation=skip_metric_validation, **kwargs)
         self.operator = operator
         self.threshold = threshold
         self.criterion_type = 'StaticThresholdCriterion'

@@ -0,0 +1,19 @@
+# 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.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from ._configuration import MonitorManagementClientConfiguration
+from ._monitor_management_client import MonitorManagementClient
+__all__ = ['MonitorManagementClient', 'MonitorManagementClientConfiguration']
+
+from .version import VERSION
+
+__version__ = VERSION
+
@@ -0,0 +1,48 @@
+# 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.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+from msrestazure import AzureConfiguration
+
+from .version import VERSION
+
+
+class MonitorManagementClientConfiguration(AzureConfiguration):
+    """Configuration for MonitorManagementClient
+    Note that all parameters used to create this instance are saved as instance
+    attributes.
+
+    :param credentials: Credentials needed for the client to connect to Azure.
+    :type credentials: :mod:`A msrestazure Credentials
+     object<msrestazure.azure_active_directory>`
+    :param subscription_id: The ID of the target subscription.
+    :type subscription_id: str
+    :param str base_url: Service URL
+    """
+
+    def __init__(
+            self, credentials, subscription_id, base_url=None):
+
+        if credentials is None:
+            raise ValueError("Parameter 'credentials' must not be None.")
+        if subscription_id is None:
+            raise ValueError("Parameter 'subscription_id' must not be None.")
+        if not base_url:
+            base_url = 'https://management.azure.com'
+
+        super(MonitorManagementClientConfiguration, self).__init__(base_url)
+
+        # Starting Autorest.Python 4.0.64, make connection pool activated by default
+        self.keep_alive = True
+
+        self.add_user_agent('azure-mgmt-monitor/{}'.format(VERSION))
+        self.add_user_agent('Azure-SDK-For-Python')
+
+        self.credentials = credentials
+        self.subscription_id = subscription_id
@@ -0,0 +1,54 @@
+# 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.
+#
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is
+# regenerated.
+# --------------------------------------------------------------------------
+
+from msrest.service_client import SDKClient
+from msrest import Serializer, Deserializer
+
+from ._configuration import MonitorManagementClientConfiguration
+from .operations import DataCollectionRuleAssociationsOperations
+from .operations import DataCollectionRulesOperations
+from . import models
+
+
+class MonitorManagementClient(SDKClient):
+    """Monitor Management Client
+
+    :ivar config: Configuration for client.
+    :vartype config: MonitorManagementClientConfiguration
+
+    :ivar data_collection_rule_associations: DataCollectionRuleAssociations operations
+    :vartype data_collection_rule_associations: azure.mgmt.monitor.v2019_11_01_preview.operations.DataCollectionRuleAssociationsOperations
+    :ivar data_collection_rules: DataCollectionRules operations
+    :vartype data_collection_rules: azure.mgmt.monitor.v2019_11_01_preview.operations.DataCollectionRulesOperations
+
+    :param credentials: Credentials needed for the client to connect to Azure.
+    :type credentials: :mod:`A msrestazure Credentials
+     object<msrestazure.azure_active_directory>`
+    :param subscription_id: The ID of the target subscription.
+    :type subscription_id: str
+    :param str base_url: Service URL
+    """
+
+    def __init__(
+            self, credentials, subscription_id, base_url=None):
+
+        self.config = MonitorManagementClientConfiguration(credentials, subscription_id, base_url)
+        super(MonitorManagementClient, self).__init__(self.config.credentials, self.config)
+
+        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
+        self.api_version = '2019-11-01-preview'
+        self._serialize = Serializer(client_models)
+        self._deserialize = Deserializer(client_models)
+
+        self.data_collection_rule_associations = DataCollectionRuleAssociationsOperations(
+            self._client, self.config, self._serialize, self._deserialize)
+        self.data_collection_rules = DataCollectionRulesOperations(
+            self._client, self.config, self._serialize, self._deserialize)