mrk-andreev commented on code in PR #44307:
URL: https://github.com/apache/airflow/pull/44307#discussion_r1855520707


##########
providers/src/airflow/providers/apache/kafka/hooks/consume.py:
##########
@@ -23,6 +23,18 @@
 from airflow.providers.apache.kafka.hooks.base import KafkaBaseHook
 
 
+class KafkaAuthenticationError(Exception):
+    """Custom exception for Kafka authentication failures."""
+
+    pass
+
+
+def error_callback(err):

Review Comment:
   Looks promising!
   
   > `error_cb(kafka.KafkaError)`: Callback for generic/global error events
   
   We have to filter only related one ( 
https://docs.confluent.io/platform/current/clients/confluent-kafka-python/html/index.html#pythonclient-kafkaerror
 ).  
   
   



##########
providers/src/airflow/providers/apache/kafka/hooks/consume.py:
##########
@@ -36,6 +48,7 @@ def __init__(self, topics: Sequence[str], 
kafka_config_id=KafkaBaseHook.default_
         self.topics = topics
 
     def _get_client(self, config) -> Consumer:
+        config["error_cb"] = error_callback

Review Comment:
   It might not be the best practice to update user-provided data. As an 
alternative, we could create a shallow copy instead.
   
   Additionally, we can assume that the user has already provided an error_cb. 
In this case, we need to decide how to handle this behavior, which is an open 
question. One possible solution is to call the user-defined error_cb first and 
then invoke our custom implementation if the user does not raise an exception. 
This approach makes sense because authentication errors are not recoverable, so 
they should interrupt execution.



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