Metrics should be gettable by name

sdk/monitor/azure-monitor-query/CHANGELOG.md

@@ -8,6 +8,7 @@
 - Added `status` attribute to `LogsQueryResult`.
 - Added `LogsQueryStatus` Enum to describe the status of a result.
 - Added a new `LogsTableRow` type that represents a single row in a table.
+- Items in `metrics` list in `MetricsResult` can now be accessed by metric names.
 
 ### Breaking Changes
 

sdk/monitor/azure-monitor-query/azure/monitor/query/_models.py

@@ -57,14 +57,15 @@ def _from_generated(cls, generated):
         )
 
 
-class LogsTableRow(object):
+class LogsTableRow(list):
     """Represents a single row in logs table.
 
     :ivar int index: The index of the row in the table
     """
 
     def __init__(self, **kwargs):
         # type: (Any) -> None
+        super(LogsTableRow, self).__init__(**kwargs)
         _col_types = kwargs["col_types"]
         row = kwargs["row"]
         self._row = process_row(_col_types, row)
@@ -76,6 +77,12 @@ def __iter__(self):
         """This will iterate over the row directly."""
         return iter(self._row)
 
+    def __len__(self):
+        return len(self._row)
+
+    def __repr__(self):
+        return repr(self._row)
+
     def __getitem__(self, column):
         """This type must be subscriptable directly to row.
         Must be gettableby both column name and row index
@@ -131,11 +138,34 @@ def _from_generated(cls, generated):
             granularity=generated.interval,
             namespace=generated.namespace,
             resource_region=generated.resourceregion,
-            metrics=[
+            metrics=MetricsList(metrics=[
                 Metric._from_generated(m) for m in generated.value # pylint: disable=protected-access
-            ],
+            ]),
         )
 
+class MetricsList(list):
+    """Custom list for metrics
+    """
+    def __init__(self, **kwargs):
+        super(MetricsList, self).__init__(**kwargs)
+        self._metrics = kwargs['metrics']
+        self._metric_names = {val.name: ind for ind, val in enumerate(self._metrics)}
+
+    def __iter__(self):
+        return iter(self._metrics)
+
+    def __len__(self):
+        return len(self._metrics)
+
+    def __repr__(self):
+        return repr(self._metrics)
+
+    def __getitem__(self, metric):
+        try:
+            return self._metrics[metric]
+        except TypeError: # TypeError: list indices must be integers or slices, not str
+            return self._metrics[self._metric_names[metric]]
+
 
 class LogsBatchQuery(object):
     """A single request in a batch.

sdk/monitor/azure-monitor-query/tests/async/test_metrics_client_async.py

@@ -2,7 +2,7 @@
 import pytest
 import os
 from azure.identity.aio import ClientSecretCredential
-from azure.monitor.query import MetricAggregationType
+from azure.monitor.query import MetricAggregationType, Metric
 from azure.monitor.query.aio import MetricsQueryClient
 
 def _credential():
@@ -42,6 +42,26 @@ async def test_metrics_granularity():
     assert response
     assert response.granularity == timedelta(minutes=5)
 
+
+@pytest.mark.live_test_only
+@pytest.mark.asyncio
+async def test_metrics_list():
+    credential = _credential()
+    client = MetricsQueryClient(credential)
+    response = await client.query_resource(
+        os.environ['METRICS_RESOURCE_URI'],
+        metric_names=["MatchedEventCount"],
+        timespan=timedelta(days=1),
+        granularity=timedelta(minutes=5),
+        aggregations=[MetricAggregationType.COUNT]
+        )
+    assert response
+    metrics = response.metrics
+    assert len(metrics) == 1
+    assert metrics[0].__class__ == Metric
+    assert metrics['MatchedEventCount'].__class__ == Metric
+    assert metrics['MatchedEventCount'] == metrics[0]
+
 @pytest.mark.live_test_only
 @pytest.mark.asyncio
 async def test_metrics_namespaces():

sdk/monitor/azure-monitor-query/tests/test_metrics_client.py

@@ -2,7 +2,7 @@
 import os
 from datetime import datetime, timedelta
 from azure.identity import ClientSecretCredential
-from azure.monitor.query import MetricsQueryClient, MetricAggregationType
+from azure.monitor.query import MetricsQueryClient, MetricAggregationType, Metric
 
 def _credential():
     credential  = ClientSecretCredential(
@@ -39,6 +39,24 @@ def test_metrics_granularity():
     assert response
     assert response.granularity == timedelta(minutes=5)
 
+@pytest.mark.live_test_only
+def test_metrics_list():
+    credential = _credential()
+    client = MetricsQueryClient(credential)
+    response = client.query_resource(
+        os.environ['METRICS_RESOURCE_URI'],
+        metric_names=["MatchedEventCount"],
+        timespan=timedelta(days=1),
+        granularity=timedelta(minutes=5),
+        aggregations=[MetricAggregationType.COUNT]
+        )
+    assert response
+    metrics = response.metrics
+    assert len(metrics) == 1
+    assert metrics[0].__class__ == Metric
+    assert metrics['MatchedEventCount'].__class__ == Metric
+    assert metrics['MatchedEventCount'] == metrics[0]
+
 @pytest.mark.live_test_only
 def test_metrics_namespaces():
     client = MetricsQueryClient(_credential())