Consistency related changes

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

@@ -5,6 +5,9 @@
 ### Features Added
 
 - Added additional `display_description` attribute to the `Metric` type.
+- Added a `MetricClass` enum to provide the class of a metric.
+- Added a `metric_class` attribute to the `MetricDefinition` type.
+- Added a `MetricNamespaceClassification` enum to support the `namespace_classification` attribute on `MetricNamespace` type.
 
 ### Breaking Changes
 
@@ -22,6 +25,11 @@
 - `LogsQueryResult` now returns `datetime` objects for a time values.
 - `LogsBatchQuery` doesn't accept a `request_id` anymore.
 - `MetricsMetadataValues` is removed. A dictionary is used instead.
+- `time_stamp` is renamed to `timestamp` in `MetricValue` type.
+- `AggregationType` is renamed to `MetricAggregationType`.
+- Removed `LogsBatchResultError` type.
+- `LogsQueryResultTable` is named to `LogsTable`
+- `LogsQueryResultColumn` is renamed to `LogsTableColumn`
 
 ### Bugs Fixed
 

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

@@ -226,10 +226,10 @@ LogsQueryResult / LogsBatchQueryResult
 |---statistics
 |---visualization
 |---error
-|---tables (list of `LogsQueryResultTable` objects)
+|---tables (list of `LogsTable` objects)
     |---name
     |---rows
-    |---columns (list of `LogsQueryResultColumn` objects)
+    |---columns (list of `LogsTableColumn` objects)
         |---name
         |---type
 ```
@@ -313,7 +313,7 @@ MetricsResult
 ```python
 import os
 from datetime import datetime, timedelta
-from azure.monitor.query import MetricsQueryClient, AggregationType
+from azure.monitor.query import MetricsQueryClient, MetricAggregationType
 from azure.identity import DefaultAzureCredential
 
 credential = DefaultAzureCredential()
@@ -323,7 +323,7 @@ metrics_uri = os.environ['METRICS_RESOURCE_URI']
 response = client.query(
     metrics_uri,
     metric_names=["MatchedEventCount"],
-    aggregations=[AggregationType.COUNT]
+    aggregations=[MetricAggregationType.COUNT]
     )
 
 for metric in response.metrics:

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

@@ -8,40 +8,42 @@
 from ._metrics_query_client import MetricsQueryClient
 
 from ._models import (
-    AggregationType,
+    MetricAggregationType,
     LogsBatchQueryResult,
     LogsQueryResult,
-    LogsQueryResultTable,
-    LogsQueryResultColumn,
+    LogsTable,
+    LogsTableColumn,
     MetricsResult,
-    LogsBatchResultError,
     LogsBatchQuery,
     MetricNamespace,
+    MetricNamespaceClassification,
     MetricDefinition,
     TimeSeriesElement,
     Metric,
     MetricValue,
+    MetricClass,
     MetricAvailability
 )
 
 from ._version import VERSION
 
 __all__ = [
-    "AggregationType",
+    "MetricAggregationType",
     "LogsQueryClient",
     "LogsBatchQueryResult",
-    "LogsBatchResultError",
     "LogsQueryResult",
-    "LogsQueryResultColumn",
-    "LogsQueryResultTable",
+    "LogsTableColumn",
+    "LogsTable",
     "LogsBatchQuery",
     "MetricsQueryClient",
     "MetricNamespace",
+    "MetricNamespaceClassification",
     "MetricDefinition",
     "MetricsResult",
     "TimeSeriesElement",
     "Metric",
     "MetricValue",
+    "MetricClass",
     "MetricAvailability"
 ]
 

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

@@ -72,8 +72,8 @@ def query(self, resource_uri, metric_names, **kwargs):
          or tuple[~datetime.datetime, ~datetime.datetime]
         :keyword granularity: The granularity (i.e. timegrain) of the query.
         :paramtype granularity: ~datetime.timedelta
-        :keyword aggregations: The list of aggregation types to retrieve. Use `azure.monitor.query.AggregationType`
-         enum to get each aggregation type.
+        :keyword aggregations: The list of aggregation types to retrieve. Use
+         `azure.monitor.query.MetricAggregationType` enum to get each aggregation type.
         :paramtype aggregations: list[str]
         :keyword max_results: The maximum number of records to retrieve.
          Valid only if $filter is specified.
@@ -134,7 +134,7 @@ def list_metric_namespaces(self, resource_uri, **kwargs):
         :keyword start_time: The ISO 8601 conform Date start time from which to query for metric
          namespaces.
         :paramtype start_time: str
-        :return: An iterator like instance of either MetricNamespaceCollection or the result of cls(response)
+        :return: An iterator like instance of either MetricNamespace or the result of cls(response)
         :rtype: ~azure.core.paging.ItemPaged[~azure.monitor.query.MetricNamespace]
         :raises: ~azure.core.exceptions.HttpResponseError
         """

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

@@ -16,20 +16,20 @@
 )
 
 
-class LogsQueryResultTable(object):
+class LogsTable(object):
     """Contains the columns and rows for one table in a query response.
 
     All required parameters must be populated in order to send to Azure.
 
     :param name: Required. The name of the table.
     :type name: str
     :param columns: Required. The list of columns in this table.
-    :type columns: list[~azure.monitor.query.LogsQueryResultColumn]
+    :type columns: list[~azure.monitor.query.LogsTableColumn]
     :param rows: Required. The resulting rows from this query.
     :type rows: list[list[str]]
     """
     def __init__(self, name, columns, rows):
-        # type: (str, List[LogsQueryResultColumn], List[List[str]]) -> None
+        # type: (str, List[LogsTableColumn], List[List[str]]) -> None
         self.name = name
         self.columns = columns
         self.rows = [process_row(self.columns, row) for row in rows]
@@ -38,12 +38,12 @@ def __init__(self, name, columns, rows):
     def _from_generated(cls, generated):
         return cls(
             name=generated.name,
-            columns=[LogsQueryResultColumn(name=col.name, type=col.type) for col in generated.columns],
+            columns=[LogsTableColumn(name=col.name, type=col.type) for col in generated.columns],
             rows=generated.rows
         )
 
 
-class LogsQueryResultColumn(InternalColumn):
+class LogsTableColumn(InternalColumn):
     """A column in a table.
 
     :ivar name: The name of this column.
@@ -59,7 +59,7 @@ class LogsQueryResultColumn(InternalColumn):
 
     def __init__(self, **kwargs):
         # type: (Any) -> None
-        super(LogsQueryResultColumn, self).__init__(**kwargs)
+        super(LogsTableColumn, self).__init__(**kwargs)
         self.name = kwargs.get("name", None)
         self.type = kwargs.get("type", None)
 
@@ -68,7 +68,7 @@ class LogsQueryResult(object):
     """Contains the tables, columns & rows resulting from a query.
 
     :ivar tables: The list of tables, columns and rows.
-    :vartype tables: list[~azure.monitor.query.LogsQueryResultTable]
+    :vartype tables: list[~azure.monitor.query.LogsTable]
     :ivar statistics: This will include a statistics property in the response that describes various
      performance statistics such as query execution time and resource usage.
     :vartype statistics: object
@@ -92,7 +92,7 @@ def _from_generated(cls, generated):
         tables = None
         if generated.tables is not None:
             tables = [
-                LogsQueryResultTable._from_generated( # pylint: disable=protected-access
+                LogsTable._from_generated( # pylint: disable=protected-access
                     table
                     ) for table in generated.tables
                 ]
@@ -222,7 +222,7 @@ class LogsBatchQueryResult(object):
     :ivar status: status code of the response.
     :vartype status: int
     :ivar tables: The list of tables, columns and rows.
-    :vartype tables: list[~azure.monitor.query.LogsQueryResultTable]
+    :vartype tables: list[~azure.monitor.query.LogsTable]
     :ivar statistics: This will include a statistics property in the response that describes various
      performance statistics such as query execution time and resource usage.
     :vartype statistics: object
@@ -250,7 +250,7 @@ def _from_generated(cls, generated):
         tables = None
         if generated.body.tables is not None:
             tables = [
-                LogsQueryResultTable._from_generated( # pylint: disable=protected-access
+                LogsTable._from_generated( # pylint: disable=protected-access
                     table
                     ) for table in generated.body.tables
                 ]
@@ -264,31 +264,13 @@ def _from_generated(cls, generated):
         )
 
 
-class LogsBatchResultError(object):
-    """Error response for a batch request.
-
-    :ivar message: The error message describing the cause of the error.
-    :vartype message: str
-    :param code: The error code.
-    :vartype code: str
-    :param details: The details of the error.
-    :vartype inner_error: list[~azure.monitor.query.ErrorDetails]
+class MetricNamespaceClassification(str, Enum):
+    """Kind of namespace
     """
-    def __init__(self, **kwargs):
-        # type: (Any) -> None
-        self.message = kwargs.get("message", None)
-        self.code = kwargs.get("code", None)
-        self.details = kwargs.get("details", None)
 
-    @classmethod
-    def _from_generated(cls, generated):
-        if not generated:
-            return cls()
-        return cls(
-            message=generated.inner_error.message,
-            code=generated.code,
-            details=generated.inner_error.details
-        )
+    PLATFORM = "Platform"
+    CUSTOM = "Custom"
+    QOS = "Qos"
 
 
 class MetricNamespace(object):
@@ -302,6 +284,8 @@ class MetricNamespace(object):
     :paramtype name: str
     :keyword fully_qualified_namespace: The fully qualified namespace name.
     :paramtype fully_qualified_namespace: str
+    :keyword namespace_classification: Kind of namespace. Possible values include: "Platform", "Custom", "Qos".
+    :paramtype namespace_classification: str or ~azure.monitor.query.MetricNamespaceClassification
     """
     def __init__(
         self,
@@ -311,6 +295,7 @@ def __init__(
         self.type = kwargs.get('type', None)
         self.name = kwargs.get('name', None)
         self.fully_qualified_namespace = kwargs.get('fully_qualified_namespace', None)
+        self.namespace_classification = kwargs.get('namespace_classification', None)
 
     @classmethod
     def _from_generated(cls, generated):
@@ -323,10 +308,23 @@ def _from_generated(cls, generated):
             id=generated.id,
             type=generated.type,
             name=generated.name,
-            fully_qualified_namespace=fully_qualified_namespace
+            fully_qualified_namespace=fully_qualified_namespace,
+            namespace_classification=generated.classification
         )
 
-class MetricDefinition(object):
+
+class MetricClass(str, Enum):
+    """The class of the metric.
+    """
+
+    AVAILABILITY = "Availability"
+    TRANSACTIONS = "Transactions"
+    ERRORS = "Errors"
+    LATENCY = "Latency"
+    SATURATION = "Saturation"
+
+
+class MetricDefinition(object): #pylint: disable=too-many-instance-attributes
     """Metric definition class specifies the metadata for a metric.
 
     :keyword dimension_required: Flag to indicate whether the dimension is required.
@@ -344,12 +342,15 @@ class MetricDefinition(object):
     :keyword primary_aggregation_type: the primary aggregation type value defining how to use the
      values for display. Possible values include: "None", "Average", "Count", "Minimum", "Maximum",
      "Total".
-    :paramtype primary_aggregation_type: str or ~monitor_query_client.models.AggregationType
+    :paramtype primary_aggregation_type: str or ~azure.monitor.query.MetricAggregationType
+    :keyword metric_class: The class of the metric. Possible values include: "Availability",
+     "Transactions", "Errors", "Latency", "Saturation".
+    :paramtype metric_class: str or ~azure.monitor.query.MetricClass
     :keyword supported_aggregation_types: the collection of what aggregation types are supported.
-    :paramtype supported_aggregation_types: list[str or ~monitor_query_client.models.AggregationType]
+    :paramtype supported_aggregation_types: list[str or ~azure.monitor.query.MetricAggregationType]
     :keyword metric_availabilities: the collection of what aggregation intervals are available to be
      queried.
-    :paramtype metric_availabilities: list[~monitor_query_client.models.MetricAvailability]
+    :paramtype metric_availabilities: list[~azure.monitor.query.MetricAvailability]
     :keyword id: the resource identifier of the metric definition.
     :paramtype id: str
     :keyword dimensions: the name and the display name of the dimension, i.e. it is a localizable
@@ -371,6 +372,7 @@ def __init__(
         self.metric_availabilities = kwargs.get('metric_availabilities', None) # type: List[MetricAvailability]
         self.id = kwargs.get('id', None) # type: Optional[str]
         self.dimensions = kwargs.get('dimensions', None) # type: Optional[List[str]]
+        self.metric_class = kwargs.get('metric_class', None) # type: Optional[str]
 
     @classmethod
     def _from_generated(cls, generated):
@@ -387,6 +389,7 @@ def _from_generated(cls, generated):
             unit=generated.unit,
             primary_aggregation_type=generated.primary_aggregation_type,
             supported_aggregation_types=generated.supported_aggregation_types,
+            metric_class=generated.metric_class,
             metric_availabilities=[
                 MetricAvailability._from_generated( # pylint: disable=protected-access
                     val
@@ -401,8 +404,8 @@ class MetricValue(object):
 
     All required parameters must be populated in order to send to Azure.
 
-    :ivar time_stamp: Required. The timestamp for the metric value in ISO 8601 format.
-    :vartype time_stamp: ~datetime.datetime
+    :ivar timestamp: Required. The timestamp for the metric value in ISO 8601 format.
+    :vartype timestamp: ~datetime.datetime
     :ivar average: The average value in the time range.
     :vartype average: float
     :ivar minimum: The least value in the time range.
@@ -420,7 +423,7 @@ def __init__(
         **kwargs
     ):
         # type: (Any) -> None
-        self.time_stamp = kwargs['time_stamp']
+        self.timestamp = kwargs['timestamp']
         self.average = kwargs.get('average', None)
         self.minimum = kwargs.get('minimum', None)
         self.maximum = kwargs.get('maximum', None)
@@ -432,7 +435,7 @@ def _from_generated(cls, generated):
         if not generated:
             return cls()
         return cls(
-            time_stamp=generated.time_stamp,
+            timestamp=generated.time_stamp,
             average=generated.average,
             minimum=generated.minimum,
             maximum=generated.maximum,
@@ -552,7 +555,7 @@ def _from_generated(cls, generated):
         )
 
 
-class AggregationType(str, Enum):
+class MetricAggregationType(str, Enum):
     """The aggregation type of the metric.
     """
 

sdk/monitor/azure-monitor-query/azure/monitor/query/aio/_metrics_query_client_async.py

@@ -67,7 +67,7 @@ async def query(
          or tuple[~datetime.datetime, ~datetime.datetime]
         :keyword granularity: The interval (i.e. timegrain) of the query.
         :paramtype granularity: ~datetime.timedelta
-        :keyword aggregations: The list of aggregation types to retrieve. Use `azure.monitor.query.AggregationType`
+        :keyword aggregations: The list of aggregation types to retrieve. Use `azure.monitor.query.MetricAggregationType`
          enum to get each aggregation type.
         :paramtype aggregations: list[str]
         :keyword max_results: The maximum number of records to retrieve.
@@ -118,7 +118,7 @@ def list_metric_namespaces(self, resource_uri: str, **kwargs: Any) -> AsyncItemP
         :keyword start_time: The ISO 8601 conform Date start time from which to query for metric
          namespaces.
         :paramtype start_time: str
-        :return: An iterator like instance of either MetricNamespaceCollection or the result of cls(response)
+        :return: An iterator like instance of either MetricNamespace or the result of cls(response)
         :rtype: ~azure.core.paging.ItemPaged[~azure.monitor.query.MetricNamespace]
         :raises: ~azure.core.exceptions.HttpResponseError
         """

sdk/monitor/azure-monitor-query/samples/async_samples/sample_log_query_client_async.py

@@ -42,7 +42,7 @@ async def logs_query():
 
     # if you dont want to use pandas - here's how you can process it.
 
-    #response.tables is a LogsQueryResultTable
+    #response.tables is a LogsTable
     for table in response.tables:
         for col in table.columns: #LogsQueryResultColumn
             print(col.name + "/"+  col.type + " | ", end="")

sdk/monitor/azure-monitor-query/samples/sample_log_query_client_without_pandas.py

@@ -22,7 +22,7 @@
 if not response.tables:
     print("No results for the query")
 
-#response.tables is a LogsQueryResultTable
+#response.tables is a LogsTable
 for table in response.tables:
     for col in table.columns: #LogsQueryResultColumn
         print(col.name + "/"+  col.type + " | ", end="")