Change temporality for Counter and UpDownCounter to CUMULATIVE

exporter/opentelemetry-exporter-otlp/CHANGELOG.md

@@ -2,6 +2,8 @@
 
 ## Unreleased
 
+- Change temporality for Counter and UpDownCounter
+  ([#1384](https://github.com/open-telemetry/opentelemetry-python/pull/1384))
 - Add Gzip compression for exporter
   ([#1141](https://github.com/open-telemetry/opentelemetry-python/pull/1141))
 - OTLP exporter: Handle error case when no credentials supplied

exporter/opentelemetry-exporter-otlp/src/opentelemetry/exporter/otlp/metrics_exporter/__init__.py

@@ -15,8 +15,7 @@
 """OTLP Metrics Exporter"""
 
 import logging
-import os
-from typing import List, Optional, Sequence, Type, TypeVar, Union
+from typing import List, Optional, Sequence, Type, TypeVar
 
 from grpc import ChannelCredentials
 
@@ -71,7 +70,9 @@
 
 
 def _get_data_points(
-    export_record: ExportRecord, data_point_class: Type[DataPointT]
+    export_record: ExportRecord,
+    data_point_class: Type[DataPointT],
+    aggregation_temporality: int,
 ) -> List[DataPointT]:
 
     if isinstance(export_record.aggregator, SumAggregator):
@@ -91,16 +92,23 @@ def _get_data_points(
     elif isinstance(export_record.aggregator, ValueObserverAggregator):
         value = export_record.aggregator.checkpoint.last
 
+    if aggregation_temporality == (
+        AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+    ):
+        start_time_unix_nano = export_record.aggregator.first_timestamp
+    else:
+        start_time_unix_nano = (
+            export_record.aggregator.initial_checkpoint_timestamp
+        )
+
     return [
         data_point_class(
             labels=[
                 StringKeyValue(key=str(label_key), value=str(label_value))
                 for label_key, label_value in export_record.labels
             ],
             value=value,
-            start_time_unix_nano=(
-                export_record.aggregator.initial_checkpoint_timestamp
-            ),
+            start_time_unix_nano=start_time_unix_nano,
             time_unix_nano=(export_record.aggregator.last_update_timestamp),
         )
     ]
@@ -215,25 +223,35 @@ def _translate_data(
             data_point_class = type_class[value_type]["data_point_class"]
 
             if isinstance(export_record.instrument, Counter):
+
+                aggregation_temporality = (
+                    AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                )
+
                 otlp_metric_data = sum_class(
                     data_points=_get_data_points(
-                        export_record, data_point_class
-                    ),
-                    aggregation_temporality=(
-                        AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA
+                        export_record,
+                        data_point_class,
+                        aggregation_temporality,
                     ),
+                    aggregation_temporality=aggregation_temporality,
                     is_monotonic=True,
                 )
                 argument = type_class[value_type]["sum"]["argument"]
 
             elif isinstance(export_record.instrument, UpDownCounter):
+
+                aggregation_temporality = (
+                    AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                )
+
                 otlp_metric_data = sum_class(
                     data_points=_get_data_points(
-                        export_record, data_point_class
-                    ),
-                    aggregation_temporality=(
-                        AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA
+                        export_record,
+                        data_point_class,
+                        aggregation_temporality,
                     ),
+                    aggregation_temporality=aggregation_temporality,
                     is_monotonic=False,
                 )
                 argument = type_class[value_type]["sum"]["argument"]
@@ -243,33 +261,45 @@ def _translate_data(
                 continue
 
             elif isinstance(export_record.instrument, SumObserver):
+
+                aggregation_temporality = (
+                    AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                )
+
                 otlp_metric_data = sum_class(
                     data_points=_get_data_points(
-                        export_record, data_point_class
-                    ),
-                    aggregation_temporality=(
-                        AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                        export_record,
+                        data_point_class,
+                        aggregation_temporality,
                     ),
+                    aggregation_temporality=aggregation_temporality,
                     is_monotonic=True,
                 )
                 argument = type_class[value_type]["sum"]["argument"]
 
             elif isinstance(export_record.instrument, UpDownSumObserver):
+
+                aggregation_temporality = (
+                    AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                )
+
                 otlp_metric_data = sum_class(
                     data_points=_get_data_points(
-                        export_record, data_point_class
-                    ),
-                    aggregation_temporality=(
-                        AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
+                        export_record,
+                        data_point_class,
+                        aggregation_temporality,
                     ),
+                    aggregation_temporality=aggregation_temporality,
                     is_monotonic=False,
                 )
                 argument = type_class[value_type]["sum"]["argument"]
 
             elif isinstance(export_record.instrument, (ValueObserver)):
                 otlp_metric_data = gauge_class(
                     data_points=_get_data_points(
-                        export_record, data_point_class
+                        export_record,
+                        data_point_class,
+                        AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA,
                     )
                 )
                 argument = type_class[value_type]["gauge"]["argument"]

exporter/opentelemetry-exporter-otlp/tests/test_otlp_metric_exporter.py

@@ -46,7 +46,9 @@
 
 
 class TestOTLPMetricExporter(TestCase):
-    def setUp(self):
+    @patch("opentelemetry.sdk.metrics.export.aggregate.time_ns")
+    def setUp(self, mock_time_ns):  # pylint: disable=arguments-differ
+        mock_time_ns.configure_mock(**{"return_value": 1})
         self.exporter = OTLPMetricsExporter(insecure=True)
         resource = SDKResource(OrderedDict([("a", 1), ("b", False)]))
 
@@ -95,12 +97,9 @@ def test_no_credentials_error(self):
         with self.assertRaises(ValueError):
             OTLPMetricsExporter()
 
-    @patch("opentelemetry.sdk.metrics.export.aggregate.time_ns")
-    def test_translate_metrics(self, mock_time_ns):
+    def test_translate_metrics(self):
         # pylint: disable=no-member
 
-        mock_time_ns.configure_mock(**{"return_value": 1})
-
         self.counter_export_record.aggregator.checkpoint = 1
         self.counter_export_record.aggregator.initial_checkpoint_timestamp = 1
         self.counter_export_record.aggregator.last_update_timestamp = 1
@@ -137,7 +136,7 @@ def test_translate_metrics(self, mock_time_ns):
                                             )
                                         ],
                                         aggregation_temporality=(
-                                            AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA
+                                            AggregationTemporality.AGGREGATION_TEMPORALITY_CUMULATIVE
                                         ),
                                         is_monotonic=True,
                                     ),

opentelemetry-sdk/src/opentelemetry/sdk/metrics/export/aggregate.py

@@ -34,6 +34,7 @@ def __init__(self, config=None):
         self._lock = threading.Lock()
         self.last_update_timestamp = 0
         self.initial_checkpoint_timestamp = 0
+        self.first_timestamp = time_ns()
         self.checkpointed = True
         if config is not None:
             self.config = config