[AutoPR monitor/resource-manager] Adding patch support for SQR API

azure-mgmt-monitor/azure/mgmt/monitor/models/__init__.py

@@ -101,6 +101,8 @@
     from .schedule_py3 import Schedule
     from .action_py3 import Action
     from .log_search_rule_resource_py3 import LogSearchRuleResource
+    from .log_search_rule_resource_patch_py3 import LogSearchRuleResourcePatch
+    from .log_metric_trigger_py3 import LogMetricTrigger
     from .trigger_condition_py3 import TriggerCondition
     from .az_ns_action_group_py3 import AzNsActionGroup
     from .alerting_action_py3 import AlertingAction
@@ -196,6 +198,8 @@
     from .schedule import Schedule
     from .action import Action
     from .log_search_rule_resource import LogSearchRuleResource
+    from .log_search_rule_resource_patch import LogSearchRuleResourcePatch
+    from .log_metric_trigger import LogMetricTrigger
     from .trigger_condition import TriggerCondition
     from .az_ns_action_group import AzNsActionGroup
     from .alerting_action import AlertingAction
@@ -214,8 +218,6 @@
     MetricStatisticType,
     TimeAggregationType,
     ComparisonOperationType,
-    ConditionalOperator,
-    MetricTriggerType,
     ScaleDirection,
     ScaleType,
     RecurrenceFrequency,
@@ -230,6 +232,8 @@
     Enabled,
     ProvisioningState,
     QueryType,
+    ConditionalOperator,
+    MetricTriggerType,
     AlertSeverity,
     ResultType,
 )
@@ -326,6 +330,8 @@
     'Schedule',
     'Action',
     'LogSearchRuleResource',
+    'LogSearchRuleResourcePatch',
+    'LogMetricTrigger',
     'TriggerCondition',
     'AzNsActionGroup',
     'AlertingAction',
@@ -343,8 +349,6 @@
     'MetricStatisticType',
     'TimeAggregationType',
     'ComparisonOperationType',
-    'ConditionalOperator',
-    'MetricTriggerType',
     'ScaleDirection',
     'ScaleType',
     'RecurrenceFrequency',
@@ -359,6 +363,8 @@
     'Enabled',
     'ProvisioningState',
     'QueryType',
+    'ConditionalOperator',
+    'MetricTriggerType',
     'AlertSeverity',
     'ResultType',
 ]

azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger.py

@@ -0,0 +1,45 @@
+# 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.serialization import Model
+
+
+class LogMetricTrigger(Model):
+    """LogMetricTrigger.
+
+    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
+     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
+     'LessThan', 'Equal'
+    :type threshold_operator: str or
+     ~azure.mgmt.monitor.models.ConditionalOperator
+    :param threshold:
+    :type threshold: float
+    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
+     'Total'. Possible values include: 'Consecutive', 'Total'
+    :type metric_trigger_type: str or
+     ~azure.mgmt.monitor.models.MetricTriggerType
+    :param metric_column: Evaluation of metric on a particular column
+    :type metric_column: str
+    """
+
+    _attribute_map = {
+        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
+        'threshold': {'key': 'threshold', 'type': 'float'},
+        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
+        'metric_column': {'key': 'metricColumn', 'type': 'str'},
+    }
+
+    def __init__(self, **kwargs):
+        super(LogMetricTrigger, self).__init__(**kwargs)
+        self.threshold_operator = kwargs.get('threshold_operator', None)
+        self.threshold = kwargs.get('threshold', None)
+        self.metric_trigger_type = kwargs.get('metric_trigger_type', None)
+        self.metric_column = kwargs.get('metric_column', None)

azure-mgmt-monitor/azure/mgmt/monitor/models/log_metric_trigger_py3.py

@@ -0,0 +1,45 @@
+# 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.serialization import Model
+
+
+class LogMetricTrigger(Model):
+    """LogMetricTrigger.
+
+    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
+     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
+     'LessThan', 'Equal'
+    :type threshold_operator: str or
+     ~azure.mgmt.monitor.models.ConditionalOperator
+    :param threshold:
+    :type threshold: float
+    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
+     'Total'. Possible values include: 'Consecutive', 'Total'
+    :type metric_trigger_type: str or
+     ~azure.mgmt.monitor.models.MetricTriggerType
+    :param metric_column: Evaluation of metric on a particular column
+    :type metric_column: str
+    """
+
+    _attribute_map = {
+        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
+        'threshold': {'key': 'threshold', 'type': 'float'},
+        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
+        'metric_column': {'key': 'metricColumn', 'type': 'str'},
+    }
+
+    def __init__(self, *, threshold_operator=None, threshold: float=None, metric_trigger_type=None, metric_column: str=None, **kwargs) -> None:
+        super(LogMetricTrigger, self).__init__(**kwargs)
+        self.threshold_operator = threshold_operator
+        self.threshold = threshold
+        self.metric_trigger_type = metric_trigger_type
+        self.metric_column = metric_column

azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch.py

@@ -0,0 +1,34 @@
+# 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.serialization import Model
+
+
+class LogSearchRuleResourcePatch(Model):
+    """The log search rule resource for patch operations.
+
+    :param tags: Resource tags
+    :type tags: dict[str, str]
+    :param enabled: The flag which indicates whether the Log Search rule is
+     enabled. Value should be true or false. Possible values include: 'true',
+     'false'
+    :type enabled: str or ~azure.mgmt.monitor.models.Enabled
+    """
+
+    _attribute_map = {
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'enabled': {'key': 'properties.enabled', 'type': 'str'},
+    }
+
+    def __init__(self, **kwargs):
+        super(LogSearchRuleResourcePatch, self).__init__(**kwargs)
+        self.tags = kwargs.get('tags', None)
+        self.enabled = kwargs.get('enabled', None)

azure-mgmt-monitor/azure/mgmt/monitor/models/log_search_rule_resource_patch_py3.py

@@ -0,0 +1,34 @@
+# 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.serialization import Model
+
+
+class LogSearchRuleResourcePatch(Model):
+    """The log search rule resource for patch operations.
+
+    :param tags: Resource tags
+    :type tags: dict[str, str]
+    :param enabled: The flag which indicates whether the Log Search rule is
+     enabled. Value should be true or false. Possible values include: 'true',
+     'false'
+    :type enabled: str or ~azure.mgmt.monitor.models.Enabled
+    """
+
+    _attribute_map = {
+        'tags': {'key': 'tags', 'type': '{str}'},
+        'enabled': {'key': 'properties.enabled', 'type': 'str'},
+    }
+
+    def __init__(self, *, tags=None, enabled=None, **kwargs) -> None:
+        super(LogSearchRuleResourcePatch, self).__init__(**kwargs)
+        self.tags = tags
+        self.enabled = enabled

azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger.py

@@ -49,17 +49,6 @@ class MetricTrigger(Model):
     :param threshold: Required. the threshold of the metric that triggers the
      scale action.
     :type threshold: float
-    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
-     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
-     'LessThan', 'Equal'
-    :type threshold_operator: str or
-     ~azure.mgmt.monitor.models.ConditionalOperator
-    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
-     'Total'. Possible values include: 'Consecutive', 'Total'
-    :type metric_trigger_type: str or
-     ~azure.mgmt.monitor.models.MetricTriggerType
-    :param metric_column: Evaluation of metric on a particular column
-    :type metric_column: str
     """
 
     _validation = {
@@ -82,9 +71,6 @@ class MetricTrigger(Model):
         'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationType'},
         'operator': {'key': 'operator', 'type': 'ComparisonOperationType'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
-        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
-        'metric_column': {'key': 'metricColumn', 'type': 'str'},
     }
 
     def __init__(self, **kwargs):
@@ -97,6 +83,3 @@ def __init__(self, **kwargs):
         self.time_aggregation = kwargs.get('time_aggregation', None)
         self.operator = kwargs.get('operator', None)
         self.threshold = kwargs.get('threshold', None)
-        self.threshold_operator = kwargs.get('threshold_operator', None)
-        self.metric_trigger_type = kwargs.get('metric_trigger_type', None)
-        self.metric_column = kwargs.get('metric_column', None)

azure-mgmt-monitor/azure/mgmt/monitor/models/metric_trigger_py3.py

@@ -49,17 +49,6 @@ class MetricTrigger(Model):
     :param threshold: Required. the threshold of the metric that triggers the
      scale action.
     :type threshold: float
-    :param threshold_operator: Evaluation operation for Metric -'GreaterThan'
-     or 'LessThan' or 'Equal'. Possible values include: 'GreaterThan',
-     'LessThan', 'Equal'
-    :type threshold_operator: str or
-     ~azure.mgmt.monitor.models.ConditionalOperator
-    :param metric_trigger_type: Metric Trigger Type - 'Consecutive' or
-     'Total'. Possible values include: 'Consecutive', 'Total'
-    :type metric_trigger_type: str or
-     ~azure.mgmt.monitor.models.MetricTriggerType
-    :param metric_column: Evaluation of metric on a particular column
-    :type metric_column: str
     """
 
     _validation = {
@@ -82,12 +71,9 @@ class MetricTrigger(Model):
         'time_aggregation': {'key': 'timeAggregation', 'type': 'TimeAggregationType'},
         'operator': {'key': 'operator', 'type': 'ComparisonOperationType'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
-        'metric_trigger_type': {'key': 'metricTriggerType', 'type': 'str'},
-        'metric_column': {'key': 'metricColumn', 'type': 'str'},
     }
 
-    def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, statistic, time_window, time_aggregation, operator, threshold: float, threshold_operator=None, metric_trigger_type=None, metric_column: str=None, **kwargs) -> None:
+    def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, statistic, time_window, time_aggregation, operator, threshold: float, **kwargs) -> None:
         super(MetricTrigger, self).__init__(**kwargs)
         self.metric_name = metric_name
         self.metric_resource_uri = metric_resource_uri
@@ -97,6 +83,3 @@ def __init__(self, *, metric_name: str, metric_resource_uri: str, time_grain, st
         self.time_aggregation = time_aggregation
         self.operator = operator
         self.threshold = threshold
-        self.threshold_operator = threshold_operator
-        self.metric_trigger_type = metric_trigger_type
-        self.metric_column = metric_column

azure-mgmt-monitor/azure/mgmt/monitor/models/monitor_management_client_enums.py

@@ -39,19 +39,6 @@ class ComparisonOperationType(str, Enum):
     less_than_or_equal = "LessThanOrEqual"
 
 
-class ConditionalOperator(str, Enum):
-
-    greater_than = "GreaterThan"
-    less_than = "LessThan"
-    equal = "Equal"
-
-
-class MetricTriggerType(str, Enum):
-
-    consecutive = "Consecutive"
-    total = "Total"
-
-
 class ScaleDirection(str, Enum):
 
     none = "None"
@@ -166,6 +153,19 @@ class QueryType(str, Enum):
     result_count = "ResultCount"
 
 
+class ConditionalOperator(str, Enum):
+
+    greater_than = "GreaterThan"
+    less_than = "LessThan"
+    equal = "Equal"
+
+
+class MetricTriggerType(str, Enum):
+
+    consecutive = "Consecutive"
+    total = "Total"
+
+
 class AlertSeverity(str, Enum):
 
     zero = "0"

azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition.py

@@ -26,7 +26,7 @@ class TriggerCondition(Model):
      should be triggered.
     :type threshold: float
     :param metric_trigger: Trigger condition for metric query rule
-    :type metric_trigger: ~azure.mgmt.monitor.models.MetricTrigger
+    :type metric_trigger: ~azure.mgmt.monitor.models.LogMetricTrigger
     """
 
     _validation = {
@@ -37,7 +37,7 @@ class TriggerCondition(Model):
     _attribute_map = {
         'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'metric_trigger': {'key': 'metricTrigger', 'type': 'MetricTrigger'},
+        'metric_trigger': {'key': 'metricTrigger', 'type': 'LogMetricTrigger'},
     }
 
     def __init__(self, **kwargs):

azure-mgmt-monitor/azure/mgmt/monitor/models/trigger_condition_py3.py

@@ -26,7 +26,7 @@ class TriggerCondition(Model):
      should be triggered.
     :type threshold: float
     :param metric_trigger: Trigger condition for metric query rule
-    :type metric_trigger: ~azure.mgmt.monitor.models.MetricTrigger
+    :type metric_trigger: ~azure.mgmt.monitor.models.LogMetricTrigger
     """
 
     _validation = {
@@ -37,7 +37,7 @@ class TriggerCondition(Model):
     _attribute_map = {
         'threshold_operator': {'key': 'thresholdOperator', 'type': 'str'},
         'threshold': {'key': 'threshold', 'type': 'float'},
-        'metric_trigger': {'key': 'metricTrigger', 'type': 'MetricTrigger'},
+        'metric_trigger': {'key': 'metricTrigger', 'type': 'LogMetricTrigger'},
     }
 
     def __init__(self, *, threshold_operator, threshold: float, metric_trigger=None, **kwargs) -> None: