Fix to allow topic to be passed via kwargs (#2901)

* Fix to allow topic to be imported from kwargs

* add changelog

* lint

* separate assert function

CHANGELOG.md

@@ -24,6 +24,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - `opentelemetry-instrumentation-aiokafka` Wrap `AIOKafkaConsumer.getone()` instead of `AIOKafkaConsumer.__anext__`
   ([#2874](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2874))
+- `opentelemetry-instrumentation-confluent-kafka` Fix to allow `topic` to be extracted from `kwargs` in `produce()` 
+  ([#2901])(https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2901)
 
 ### Breaking changes
 

instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/__init__.py

@@ -363,7 +363,9 @@ class ConfluentKafkaInstrumentor(BaseInstrumentor):
                 headers = []
                 kwargs["headers"] = headers
 
-            topic = KafkaPropertiesExtractor.extract_produce_topic(args)
+            topic = KafkaPropertiesExtractor.extract_produce_topic(
+                args, kwargs
+            )
             _enrich_span(
                 span,
                 topic,

instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/utils.py

@@ -25,11 +25,9 @@ class KafkaPropertiesExtractor:
         return kwargs.get(key, default_value)
 
     @staticmethod
-    def extract_produce_topic(args):
+    def extract_produce_topic(args, kwargs):
         """extract topic from `produce` method arguments in Producer class"""
-        if len(args) > 0:
-            return args[0]
-        return "unknown"
+        return kwargs.get("topic") or (args[0] if args else "unknown")
 
     @staticmethod
     def extract_produce_headers(args, kwargs):

instrumentation/opentelemetry-instrumentation-confluent-kafka/tests/test_instrumentation.py

@@ -284,6 +284,15 @@ class TestConfluentKafka(TestBase):
                     expected_attribute_value, span.attributes[attribute_key]
                 )
 
+    def _assert_topic(self, span, expected_topic: str) -> None:
+        self.assertEqual(
+            span.attributes[SpanAttributes.MESSAGING_DESTINATION],
+            expected_topic,
+        )
+
+    def _assert_span_count(self, span_list, expected_count: int) -> None:
+        self.assertEqual(len(span_list), expected_count)
+
     def test_producer_poll(self) -> None:
         instrumentation = ConfluentKafkaInstrumentor()
         message_queue = []
@@ -299,6 +308,9 @@ class TestConfluentKafka(TestBase):
         producer.produce(topic="topic-1", key="key-1", value="value-1")
         msg = producer.poll()
         self.assertIsNotNone(msg)
+        span_list = self.memory_exporter.get_finished_spans()
+        self._assert_span_count(span_list, 1)
+        self._assert_topic(span_list[0], "topic-1")
 
     def test_producer_flush(self) -> None:
         instrumentation = ConfluentKafkaInstrumentor()
@@ -315,3 +327,6 @@ class TestConfluentKafka(TestBase):
         producer.produce(topic="topic-1", key="key-1", value="value-1")
         msg = producer.flush()
         self.assertIsNotNone(msg)
+        span_list = self.memory_exporter.get_finished_spans()
+        self._assert_span_count(span_list, 1)
+        self._assert_topic(span_list[0], "topic-1")