update dataclass definitions

Author: herin049

opentelemetry-sdk/src/opentelemetry/sdk/metrics/_internal/point.py

@@ -56,9 +56,6 @@ def no_recorded_value(self) -> bool:
         return bool(self & self.NO_RECORDED_VALUE)
 
 
-DEFAULT_DATA_POINT_FLAGS = DataPointFlags.get_default()
-
-
 @dataclass(frozen=True)
 class NumberDataPoint:
     """Single data point in a timeseries that describes the time-varying scalar
@@ -70,7 +67,7 @@ class NumberDataPoint:
     time_unix_nano: int
     value: Union[int, float]
     exemplars: Sequence[Exemplar] = field(default_factory=list)
-    flags: DataPointFlags = DEFAULT_DATA_POINT_FLAGS
+    flags: DataPointFlags = DataPointFlags.get_default()
 
     def to_json(self, indent: Optional[int] = 4) -> str:
         return dumps(asdict(self), indent=indent)
@@ -92,7 +89,7 @@ class HistogramDataPoint:
     min: float
     max: float
     exemplars: Sequence[Exemplar] = field(default_factory=list)
-    flags: DataPointFlags = DEFAULT_DATA_POINT_FLAGS
+    flags: DataPointFlags = DataPointFlags.get_default()
 
     def to_json(self, indent: Optional[int] = 4) -> str:
         return dumps(asdict(self), indent=indent)
@@ -123,7 +120,7 @@ class ExponentialHistogramDataPoint:
     min: float
     max: float
     exemplars: Sequence[Exemplar] = field(default_factory=list)
-    flags: DataPointFlags = DEFAULT_DATA_POINT_FLAGS
+    flags: DataPointFlags = DataPointFlags.get_default()
 
     def to_json(self, indent: Optional[int] = 4) -> str:
         return dumps(asdict(self), indent=indent)

tests/opentelemetry-test-utils/src/opentelemetry/test/metrictestutil.py

@@ -16,7 +16,6 @@
 from typing import Optional
 
 from opentelemetry.attributes import BoundedAttributes
-from opentelemetry.sdk.metrics._internal.point import DEFAULT_DATA_POINT_FLAGS
 from opentelemetry.sdk.metrics.export import (
     AggregationTemporality,
     DataPointFlags,
@@ -52,10 +51,12 @@ def _generate_sum(
     description=None,
     unit=None,
     is_monotonic=True,
-    flags=DEFAULT_DATA_POINT_FLAGS,
+    flags=None,
 ) -> Metric:
     if attributes is None:
         attributes = BoundedAttributes(attributes={"a": 1, "b": True})
+    if flags is None:
+        flags = DataPointFlags.get_default()
     return _generate_metric(
         name,
         Sum(
@@ -82,10 +83,12 @@ def _generate_gauge(
     attributes=None,
     description=None,
     unit=None,
-    flags=DEFAULT_DATA_POINT_FLAGS,
+    flags=None,
 ) -> Metric:
     if attributes is None:
         attributes = BoundedAttributes(attributes={"a": 1, "b": True})
+    if flags is None:
+        flags = DataPointFlags.get_default()
     return _generate_metric(
         name,
         Gauge(
@@ -120,10 +123,12 @@ def _generate_histogram(
     attributes: Attributes = None,
     description: Optional[str] = None,
     unit: Optional[str] = None,
-    flags: DataPointFlags = DEFAULT_DATA_POINT_FLAGS,
+    flags: Optional[DataPointFlags] = None,
 ) -> Metric:
     if attributes is None:
         attributes = BoundedAttributes(attributes={"a": 1, "b": True})
+    if flags is None:
+        flags = DataPointFlags.get_default()
     return _generate_metric(
         name,
         Histogram(