clean: Remove auto-instrumentation support for Kinesis Stream Consumer

Author: yiyuan-he

aws-opentelemetry-distro/src/amazon/opentelemetry/distro/_aws_attribute_keys.py

@@ -19,7 +19,6 @@
 AWS_SQS_QUEUE_URL: str = "aws.sqs.queue.url"
 AWS_SQS_QUEUE_NAME: str = "aws.sqs.queue.name"
 AWS_KINESIS_STREAM_NAME: str = "aws.kinesis.stream.name"
-AWS_KINESIS_STREAM_CONSUMERNAME: str = "aws.kinesis.stream.consumer_name"
 AWS_BEDROCK_DATA_SOURCE_ID: str = "aws.bedrock.data_source.id"
 AWS_BEDROCK_KNOWLEDGE_BASE_ID: str = "aws.bedrock.knowledge_base.id"
 AWS_BEDROCK_AGENT_ID: str = "aws.bedrock.agent.id"

aws-opentelemetry-distro/src/amazon/opentelemetry/distro/_aws_metric_attribute_generator.py

@@ -11,7 +11,6 @@
     AWS_BEDROCK_GUARDRAIL_ID,
     AWS_BEDROCK_KNOWLEDGE_BASE_ID,
     AWS_CLOUDFORMATION_PRIMARY_IDENTIFIER,
-    AWS_KINESIS_STREAM_CONSUMERNAME,
     AWS_KINESIS_STREAM_NAME,
     AWS_LAMBDA_FUNCTION_ARN,
     AWS_LAMBDA_FUNCTION_NAME,
@@ -398,9 +397,6 @@ def _set_remote_type_and_identifier(span: ReadableSpan, attributes: BoundedAttri
         elif is_key_present(span, AWS_KINESIS_STREAM_NAME):
             remote_resource_type = _NORMALIZED_KINESIS_SERVICE_NAME + "::Stream"
             remote_resource_identifier = _escape_delimiters(span.attributes.get(AWS_KINESIS_STREAM_NAME))
-        elif is_key_present(span, AWS_KINESIS_STREAM_CONSUMERNAME):
-            remote_resource_type = _NORMALIZED_KINESIS_SERVICE_NAME + "::StreamConsumer"
-            remote_resource_identifier = _escape_delimiters(span.attributes.get(AWS_KINESIS_STREAM_CONSUMERNAME))
         elif is_key_present(span, _AWS_BUCKET_NAME):
             remote_resource_type = _NORMALIZED_S3_SERVICE_NAME + "::Bucket"
             remote_resource_identifier = _escape_delimiters(span.attributes.get(_AWS_BUCKET_NAME))

aws-opentelemetry-distro/src/amazon/opentelemetry/distro/patches/_botocore_patches.py

@@ -4,7 +4,6 @@
 import importlib
 
 from amazon.opentelemetry.distro._aws_attribute_keys import (
-    AWS_KINESIS_STREAM_CONSUMERNAME,
     AWS_KINESIS_STREAM_NAME,
     AWS_LAMBDA_FUNCTION_ARN,
     AWS_LAMBDA_FUNCTION_NAME,
@@ -249,6 +248,3 @@ def extract_attributes(self, attributes: _AttributeMapT):
         stream_name = self._call_context.params.get("StreamName")
         if stream_name:
             attributes[AWS_KINESIS_STREAM_NAME] = stream_name
-        consumer_name = self._call_context.params.get("ConsumerName")
-        if consumer_name:
-            attributes[AWS_KINESIS_STREAM_CONSUMERNAME] = consumer_name

aws-opentelemetry-distro/tests/amazon/opentelemetry/distro/test_aws_metric_attribute_generator.py

@@ -13,7 +13,6 @@
     AWS_BEDROCK_GUARDRAIL_ID,
     AWS_BEDROCK_KNOWLEDGE_BASE_ID,
     AWS_CONSUMER_PARENT_SPAN_KIND,
-    AWS_KINESIS_STREAM_CONSUMERNAME,
     AWS_KINESIS_STREAM_NAME,
     AWS_LAMBDA_FUNCTION_NAME,
     AWS_LAMBDA_RESOURCEMAPPING_ID,
@@ -1144,27 +1143,6 @@ def test_sdk_client_span_with_remote_resource_attributes(self):
         )
         self._mock_attribute([AWS_STEPFUNCTIONS_ACTIVITY_ARN], [None])
 
-        # Validate behaviour of AWS_KINESIS_STREAM_CONSUMERNAME present, then remove it.
-        self._mock_attribute(
-            [AWS_KINESIS_STREAM_CONSUMERNAME],
-            ["aws_stream_consumername"],
-            keys,
-            values,
-        )
-        self._validate_remote_resource_attributes("AWS::Kinesis::StreamConsumer", "aws_stream_consumername")
-        self._mock_attribute([AWS_KINESIS_STREAM_CONSUMERNAME], [None])
-
-        # Validate behaviour with both AWS_KINESIS_STREAM_NAME and AWS_KINESIS_STREAM_CONSUMERNAME
-        # present, then remove it.
-        self._mock_attribute(
-            [AWS_KINESIS_STREAM_NAME, AWS_KINESIS_STREAM_CONSUMERNAME],
-            ["aws_stream_name", "aws_stream_consumername"],
-            keys,
-            values,
-        )
-        self._validate_remote_resource_attributes("AWS::Kinesis::Stream", "aws_stream_name")
-        self._mock_attribute([AWS_KINESIS_STREAM_NAME, AWS_KINESIS_STREAM_CONSUMERNAME], [None, None])
-
         # Validate behaviour of AWS_LAMBDA_FUNCTION_NAME attribute, then remove it.
         self._mock_attribute([AWS_LAMBDA_FUNCTION_NAME], ["aws_lambda_function_name"], keys, values)
         self._validate_remote_resource_attributes("AWS::Lambda::Function", "aws_lambda_function_name")

aws-opentelemetry-distro/tests/amazon/opentelemetry/distro/test_instrumentation_patch.py

@@ -17,7 +17,6 @@
 from opentelemetry.trace.span import Span
 
 _STREAM_NAME: str = "streamName"
-_CONSUMER_NAME: str = "consumerName"
 _BUCKET_NAME: str = "bucketName"
 _QUEUE_NAME: str = "queueName"
 _QUEUE_URL: str = "queueUrl"
@@ -181,8 +180,6 @@ def _test_patched_botocore_instrumentation(self):
         kinesis_attributes: Dict[str, str] = _do_extract_kinesis_attributes()
         self.assertTrue("aws.kinesis.stream.name" in kinesis_attributes)
         self.assertEqual(kinesis_attributes["aws.kinesis.stream.name"], _STREAM_NAME)
-        self.assertTrue("aws.kinesis.stream.consumer_name" in kinesis_attributes)
-        self.assertEqual(kinesis_attributes["aws.kinesis.stream.consumer_name"], _CONSUMER_NAME)
 
         # S3
         self.assertTrue("s3" in _KNOWN_EXTENSIONS)
@@ -372,7 +369,7 @@ def _reset_mocks(self):
 
 def _do_extract_kinesis_attributes() -> Dict[str, str]:
     service_name: str = "kinesis"
-    params: Dict[str, str] = {"StreamName": _STREAM_NAME, "ConsumerName": _CONSUMER_NAME}
+    params: Dict[str, str] = {"StreamName": _STREAM_NAME}
     return _do_extract_attributes(service_name, params)