feat: confluence kafka -> aiokafka

backend/app/core/providers.py

@@ -46,7 +46,7 @@
 from app.events.core import ProducerConfig, UnifiedProducer
 from app.events.event_store import EventStore, create_event_store
 from app.events.event_store_consumer import EventStoreConsumer, create_event_store_consumer
-from app.events.schema.schema_registry import SchemaRegistryManager, create_schema_registry_manager
+from app.events.schema.schema_registry import SchemaRegistryManager
 from app.infrastructure.kafka.topics import get_all_topics
 from app.services.admin import AdminEventsService, AdminSettingsService, AdminUserService
 from app.services.auth_service import AuthService
@@ -192,7 +192,7 @@ class EventProvider(Provider):
 
     @provide
     def get_schema_registry(self, settings: Settings, logger: logging.Logger) -> SchemaRegistryManager:
-        return create_schema_registry_manager(settings, logger)
+        return SchemaRegistryManager(settings, logger)
 
     @provide
     async def get_event_store(self, schema_registry: SchemaRegistryManager, logger: logging.Logger) -> EventStore:

backend/app/dlq/manager.py

@@ -4,7 +4,8 @@
 from datetime import datetime, timezone
 from typing import Any, Awaitable, Callable
 
-from confluent_kafka import Consumer, KafkaError, Message, Producer
+from aiokafka import AIOKafkaConsumer, AIOKafkaProducer
+from aiokafka.errors import KafkaError
 from opentelemetry.trace import SpanKind
 
 from app.core.lifecycle import LifecycleEnabled
@@ -30,8 +31,8 @@ class DLQManager(LifecycleEnabled):
     def __init__(
         self,
         settings: Settings,
-        consumer: Consumer,
-        producer: Producer,
+        consumer: AIOKafkaConsumer,
+        producer: AIOKafkaProducer,
         schema_registry: SchemaRegistryManager,
         logger: logging.Logger,
         dlq_topic: KafkaTopic = KafkaTopic.DEAD_LETTER_QUEUE,
@@ -48,8 +49,8 @@ def __init__(
         self.default_retry_policy = default_retry_policy or RetryPolicy(
             topic="default", strategy=RetryStrategy.EXPONENTIAL_BACKOFF
         )
-        self.consumer: Consumer = consumer
-        self.producer: Producer = producer
+        self.consumer: AIOKafkaConsumer = consumer
+        self.producer: AIOKafkaProducer = producer
 
         self._process_task: asyncio.Task[None] | None = None
         self._monitor_task: asyncio.Task[None] | None = None
@@ -116,13 +117,13 @@ def _message_to_doc(self, message: DLQMessage) -> DLQMessageDocument:
             headers=message.headers,
         )
 
-    def _kafka_msg_to_message(self, msg: Message) -> DLQMessage:
-        """Parse Kafka message into DLQMessage."""
-        raw_bytes = msg.value()
+    def _kafka_msg_to_message(self, msg: Any) -> DLQMessage:
+        """Parse Kafka ConsumerRecord into DLQMessage."""
+        raw_bytes = msg.value
         raw: str = raw_bytes.decode("utf-8") if isinstance(raw_bytes, (bytes, bytearray)) else str(raw_bytes or "")
         data: dict[str, Any] = json.loads(raw) if raw else {}
 
-        headers_list = msg.headers() or []
+        headers_list = msg.headers or []
         headers: dict[str, str] = {}
         for k, v in headers_list:
             headers[str(k)] = v.decode("utf-8") if isinstance(v, (bytes, bytearray)) else (v or "")
@@ -141,15 +142,16 @@ def _kafka_msg_to_message(self, msg: Message) -> DLQMessage:
             else datetime.now(timezone.utc),
             status=DLQMessageStatus(data.get("status", DLQMessageStatus.PENDING)),
             producer_id=data.get("producer_id", headers.get("producer_id", "unknown")),
-            dlq_offset=msg.offset(),
-            dlq_partition=msg.partition(),
+            dlq_offset=msg.offset,
+            dlq_partition=msg.partition,
             headers=headers,
         )
 
     async def _on_start(self) -> None:
         """Start DLQ manager."""
-        topic_name = f"{self.settings.KAFKA_TOPIC_PREFIX}{self.dlq_topic}"
-        self.consumer.subscribe([topic_name])
+        # Start producer and consumer
+        await self.producer.start()
+        await self.consumer.start()
 
         # Start processing tasks
         self._process_task = asyncio.create_task(self._process_messages())
@@ -169,8 +171,8 @@ async def _on_stop(self) -> None:
                     pass
 
         # Stop Kafka clients
-        self.consumer.close()
-        self.producer.flush(10)
+        await self.consumer.stop()
+        await self.producer.stop()
 
         self.logger.info("DLQ Manager stopped")
 
@@ -181,9 +183,6 @@ async def _process_messages(self) -> None:
                 if msg is None:
                     continue
 
-                if not await self._validate_message(msg):
-                    continue
-
                 start_time = asyncio.get_running_loop().time()
                 dlq_message = self._kafka_msg_to_message(msg)
 
@@ -195,23 +194,19 @@ async def _process_messages(self) -> None:
                 self.logger.error(f"Error in DLQ processing loop: {e}")
                 await asyncio.sleep(5)
 
-    async def _poll_message(self) -> Message | None:
-        """Poll for a message from Kafka."""
-        return await asyncio.to_thread(self.consumer.poll, timeout=1.0)
-
-    async def _validate_message(self, msg: Message) -> bool:
-        """Validate the Kafka message."""
-        if msg.error():
-            error = msg.error()
-            if error and error.code() == KafkaError._PARTITION_EOF:
-                return False
-            self.logger.error(f"Consumer error: {error}")
-            return False
-        return True
-
-    def _extract_headers(self, msg: Message) -> dict[str, str]:
-        """Extract headers from Kafka message."""
-        headers_list = msg.headers() or []
+    async def _poll_message(self) -> Any | None:
+        """Poll for a message from Kafka using async getone()."""
+        try:
+            return await asyncio.wait_for(self.consumer.getone(), timeout=1.0)
+        except asyncio.TimeoutError:
+            return None
+        except KafkaError as e:
+            self.logger.error(f"Consumer error: {e}")
+            return None
+
+    def _extract_headers(self, msg: Any) -> dict[str, str]:
+        """Extract headers from Kafka ConsumerRecord."""
+        headers_list = msg.headers or []
         headers: dict[str, str] = {}
         for k, v in headers_list:
             headers[str(k)] = v.decode("utf-8") if isinstance(v, (bytes, bytearray)) else (v or "")
@@ -222,7 +217,7 @@ async def _record_message_metrics(self, dlq_message: DLQMessage) -> None:
         self.metrics.record_dlq_message_received(dlq_message.original_topic, dlq_message.event_type)
         self.metrics.record_dlq_message_age(dlq_message.age_seconds)
 
-    async def _process_message_with_tracing(self, msg: Message, dlq_message: DLQMessage) -> None:
+    async def _process_message_with_tracing(self, msg: Any, dlq_message: DLQMessage) -> None:
         """Process message with distributed tracing."""
         headers = self._extract_headers(msg)
         ctx = extract_trace_context(headers)
@@ -242,7 +237,7 @@ async def _process_message_with_tracing(self, msg: Message, dlq_message: DLQMess
 
     async def _commit_and_record_duration(self, start_time: float) -> None:
         """Commit offset and record processing duration."""
-        await asyncio.to_thread(self.consumer.commit, asynchronous=False)
+        await self.consumer.commit()
         duration = asyncio.get_running_loop().time() - start_time
         self.metrics.record_dlq_processing_duration(duration, "process")
 
@@ -324,31 +319,27 @@ async def _retry_message(self, message: DLQMessage) -> None:
             "dlq_retry_timestamp": datetime.now(timezone.utc).isoformat(),
         }
         hdrs = inject_trace_context(hdrs)
-        kafka_headers: list[tuple[str, str | bytes]] = [(k, v.encode()) for k, v in hdrs.items()]
+        kafka_headers: list[tuple[str, bytes]] = [(k, v.encode()) for k, v in hdrs.items()]
 
         # Get the original event
         event = message.event
 
-        await asyncio.to_thread(
-            self.producer.produce,
+        # Send to retry topic
+        await self.producer.send_and_wait(
             topic=retry_topic,
             value=json.dumps(event.to_dict()).encode(),
             key=message.event_id.encode(),
             headers=kafka_headers,
         )
 
         # Send to original topic
-        await asyncio.to_thread(
-            self.producer.produce,
+        await self.producer.send_and_wait(
             topic=message.original_topic,
             value=json.dumps(event.to_dict()).encode(),
             key=message.event_id.encode(),
             headers=kafka_headers,
         )
 
-        # Flush to ensure messages are sent
-        await asyncio.to_thread(self.producer.flush, timeout=5)
-
         # Update metrics
         self.metrics.record_dlq_message_retried(message.original_topic, message.event_type, "success")
 
@@ -521,25 +512,22 @@ def create_dlq_manager(
     retry_topic_suffix: str = "-retry",
     default_retry_policy: RetryPolicy | None = None,
 ) -> DLQManager:
-    consumer = Consumer(
-        {
-            "bootstrap.servers": settings.KAFKA_BOOTSTRAP_SERVERS,
-            "group.id": f"{GroupId.DLQ_MANAGER}.{settings.KAFKA_GROUP_SUFFIX}",
-            "enable.auto.commit": False,
-            "auto.offset.reset": "earliest",
-            "client.id": "dlq-manager-consumer",
-        }
+    topic_name = f"{settings.KAFKA_TOPIC_PREFIX}{dlq_topic}"
+    consumer = AIOKafkaConsumer(
+        topic_name,
+        bootstrap_servers=settings.KAFKA_BOOTSTRAP_SERVERS,
+        group_id=f"{GroupId.DLQ_MANAGER}.{settings.KAFKA_GROUP_SUFFIX}",
+        enable_auto_commit=False,
+        auto_offset_reset="earliest",
+        client_id="dlq-manager-consumer",
     )
-    producer = Producer(
-        {
-            "bootstrap.servers": settings.KAFKA_BOOTSTRAP_SERVERS,
-            "client.id": "dlq-manager-producer",
-            "acks": "all",
-            "enable.idempotence": True,
-            "compression.type": "gzip",
-            "batch.size": 16384,
-            "linger.ms": 10,
-        }
+    producer = AIOKafkaProducer(
+        bootstrap_servers=settings.KAFKA_BOOTSTRAP_SERVERS,
+        client_id="dlq-manager-producer",
+        acks="all",
+        compression_type="gzip",
+        max_batch_size=16384,
+        linger_ms=10,
     )
     if default_retry_policy is None:
         default_retry_policy = RetryPolicy(topic="default", strategy=RetryStrategy.EXPONENTIAL_BACKOFF)