Update kafka-python to 2.0.2 to add support for python 3.8

CHANGES.md

@@ -1,5 +1,12 @@
 # Changelog
 
+## 2.0.0
+
+* Update to kafka-python 2.0.2 to support python 3.8. #16 by @murthysrd
+  This is a major version bump as topics will no longer be auto-created
+  by the sensors or by the produce action even if the Kafka server is
+  configured to auto-create the topics and partitions.
+
 ## 1.0.0
 
 * Drop Python 2.7 support

actions/produce.py

@@ -1,13 +1,16 @@
+"""
+Kafka Producer Action for stackstorm
+"""
 from st2common.runners.base_action import Action
-from kafka import SimpleProducer, KafkaClient
-from kafka.util import kafka_bytestring
+from kafka import KafkaProducer, KafkaConsumer
 
 
 class ProduceMessageAction(Action):
     """
     Action to send messages to Apache Kafka system.
     """
-    DEFAULT_CLIENT_ID = 'st2-kafka-producer'
+
+    DEFAULT_CLIENT_ID = "st2-kafka-producer"
 
     def run(self, topic, message, hosts=None):
         """
@@ -28,18 +31,26 @@ def run(self, topic, message, hosts=None):
 
         if hosts:
             _hosts = hosts
-        elif self.config.get('hosts', None):
-            _hosts = self.config['hosts']
+        elif self.config.get("hosts", None):
+            _hosts = self.config["hosts"]
         else:
             raise ValueError("Need to define 'hosts' in either action or in config")
 
         # set default for empty value
-        _client_id = self.config.get('client_id') or self.DEFAULT_CLIENT_ID
-
-        client = KafkaClient(_hosts, client_id=_client_id)
-        client.ensure_topic_exists(topic)
-        producer = SimpleProducer(client)
-        result = producer.send_messages(topic, kafka_bytestring(message))
-
-        if result[0]:
-            return result[0]._asdict()
+        _client_id = self.config.get("client_id") or self.DEFAULT_CLIENT_ID
+
+        consumer = KafkaConsumer(
+            bootstrap_servers=_hosts.split(","), client_id=_client_id
+        )
+        if topic not in consumer.topics():
+            raise Exception(f"Topic does not exist: {topic}")
+
+        producer = KafkaProducer(
+            bootstrap_servers=_hosts.split(","),
+            client_id=_client_id,
+            value_serializer=lambda m: m.encode("utf-8"),
+            max_request_size=10485760,
+        )
+        future = producer.send(topic, message)
+        record_metadata = future.get(timeout=10)  # TODO: Make this timeout an input param
+        return record_metadata._asdict()

pack.yaml

@@ -10,7 +10,7 @@ keywords:
   - base64
   - stackdriver
   - google cloud
-version: 1.0.0
+version: 2.0.0
 author: StackStorm
 email: [email protected]
 Contributors:

requirements.txt

@@ -1 +1 @@
-kafka-python>=0.9.4,<1.0
+kafka-python==2.0.2

sensors/gcp_message_sensor.py

@@ -57,12 +57,16 @@ def _ensure_topics_existence(self):
         """
         Ensure that topics we're listening to exist.
 
-        Fetching metadata for a non-existent topic will automatically try to create it
-        with the default replication factor and number of partitions (default server config).
-        Otherwise Kafka server is not configured to auto-create topics and partitions.
+        This does not fetch metadata for specific topics, so it will not trigger auto-creation
+        of topics and partitions even if the Kafka server has the default server config that
+        allows such auto-creation.
         """
-        map(self._consumer._client.ensure_topic_exists, self._topics)
-        self._consumer.set_topic_partitions(*self._topics)
+        cluster_topics = self._consumer.topics()
+        missing_topics = [topic for topic in self._topics if topic not in cluster_topics]
+        if missing_topics:
+            raise Exception(f"One or more topics do not exist: {', '.join(missing_topics)}")
+        # topic partitions were already subscribed on KafkaConsumer init
+        # self._consumer.subscribe(topics=self._topics)
 
     def run(self):
         """

sensors/message_sensor.py

@@ -55,12 +55,16 @@ def _ensure_topics_existence(self):
         """
         Ensure that topics we're listening to exist.
 
-        Fetching metadata for a non-existent topic will automatically try to create it
-        with the default replication factor and number of partitions (default server config).
-        Otherwise Kafka server is not configured to auto-create topics and partitions.
+        This does not fetch metadata for specific topics, so it will not trigger auto-creation
+        of topics and partitions even if the Kafka server has the default server config that
+        allows such auto-creation.
         """
-        map(self._consumer._client.ensure_topic_exists, self._topics)
-        self._consumer.set_topic_partitions(*self._topics)
+        cluster_topics = self._consumer.topics()
+        missing_topics = [topic for topic in self._topics if topic not in cluster_topics]
+        if missing_topics:
+            raise Exception(f"One or more topics do not exist: {', '.join(missing_topics)}")
+        # topic partitions were already subscribed on KafkaConsumer init
+        # self._consumer.subscribe(topics=self._topics)
 
     def run(self):
         """