Make advisory attribute private

Author: xrmx

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

@@ -1277,8 +1277,8 @@ def _create_aggregation(
 
         if isinstance(instrument, Histogram):
             boundaries: Optional[Sequence[float]] = (
-                instrument.advisory.get("explicit_bucket_boundaries")
-                if instrument.advisory is not None
+                instrument._advisory.get("explicit_bucket_boundaries")
+                if instrument._advisory is not None
                 else None
             )
             return _ExplicitBucketHistogramAggregation(

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

@@ -236,7 +236,7 @@ def __init__(
             instrumentation_scope=instrumentation_scope,
             measurement_consumer=measurement_consumer,
         )
-        self.advisory = advisory
+        self._advisory = advisory
 
     def __new__(cls, *args, **kwargs):
         if cls is Histogram:

opentelemetry-sdk/tests/metrics/test_metrics.py

@@ -511,7 +511,7 @@ def test_create_histogram_with_advisory(self):
         self.assertIsInstance(histogram, Histogram)
         self.assertEqual(histogram.name, "name")
         self.assertEqual(
-            histogram.advisory, {"explicit_bucket_boundaries": [0, 1, 2]}
+            histogram._advisory, {"explicit_bucket_boundaries": [0, 1, 2]}
         )
 
     def test_create_histogram_advisory_validation(self):