Merge branch 'release/0.2.1'

Author: s3rius

poetry.lock

@@ -3,7 +3,7 @@ name = "taskiq-aio-kafka"
 description = "Kafka broker for taskiq"
 authors = ["Taskiq team <[email protected]>"]
 maintainers = ["Taskiq team <[email protected]>"]
-version = "0.2.0"
+version = "0.2.1"
 readme = "README.md"
 license = "LICENSE"
 classifiers = [
@@ -24,27 +24,27 @@ keywords = ["taskiq", "tasks", "distributed", "async", "kafka", "aiokafka"]
 packages = [{ include = "taskiq_aio_kafka" }]
 
 [tool.poetry.dependencies]
-python = "^3.8.1"
+python = "^3.9"
 taskiq = "^0"
-aiokafka = "^0.8.0"
-pydantic = "^1.10.7"
+aiokafka = "^0.10.0"
+kafka-python = "^2.0.2"
 
 [tool.poetry.group.dev.dependencies]
-pytest = "^7.1.2"
-flake8 = "^6"
-isort = "^5.10.1"
-mypy = "^1.2.0"
-pre-commit = "^2.20.0"
-yesqa = "^1.3.0"
-autoflake = "^1.4"
-wemake-python-styleguide = "^0.18.0"
-coverage = "^6.4.2"
-pytest-cov = "^3.0.0"
-mock = "^4.0.3"
-anyio = "^3.6.1"
-pytest-xdist = { version = "^2.5.0", extras = ["psutil"] }
-types-mock = "^4.0.15"
-black = "^23.1.0"
+pytest = "^8.2.2"
+flake8 = "^7"
+isort = "^5.13.2"
+mypy = "^1.10.0"
+pre-commit = "^3.7.1"
+yesqa = "^1.5.0"
+autoflake = "^2.3.1"
+wemake-python-styleguide = "^0.19.2"
+coverage = "^7.5.3"
+pytest-cov = "^5.0.0"
+mock = "^5.1.0"
+anyio = "^4.4.0"
+pytest-xdist = { version = "^3.6.1", extras = ["psutil"] }
+types-mock = "^5.1.0"
+black = "^24.4.2"
 
 [tool.mypy]
 strict = true

pyproject.toml

@@ -1,4 +1,5 @@
 """Taskiq integration with aiokafka."""
+
 from taskiq_aio_kafka.broker import AioKafkaBroker
 
 __all__ = ["AioKafkaBroker"]

taskiq_aio_kafka/__init__.py

@@ -4,8 +4,11 @@
 
 from aiokafka import AIOKafkaConsumer, AIOKafkaProducer
 from kafka.admin import KafkaAdminClient, NewTopic
+from kafka.coordinator.assignors.roundrobin import RoundRobinPartitionAssignor
+from kafka.partitioner.default import DefaultPartitioner
 from taskiq import AsyncResultBackend, BrokerMessage
 from taskiq.abc.broker import AsyncBroker
+from taskiq.compat import model_dump
 
 from taskiq_aio_kafka.exceptions import WrongAioKafkaBrokerParametersError
 from taskiq_aio_kafka.models import KafkaConsumerParameters, KafkaProducerParameters
@@ -146,19 +149,31 @@ async def startup(self) -> None:
                 new_topics=[self._kafka_topic],
                 validate_only=False,
             )
+
+        partitioner = self._aiokafka_producer_params.partitioner or DefaultPartitioner()
+        producer_kwargs = model_dump(self._aiokafka_producer_params)
+        producer_kwargs["partitioner"] = partitioner
         self._aiokafka_producer = AIOKafkaProducer(
             bootstrap_servers=self._bootstrap_servers,
             loop=self._loop,
-            **self._aiokafka_producer_params.dict(),
+            **producer_kwargs,
         )
         await self._aiokafka_producer.start()
 
         if self.is_worker_process:
+            partition_assignment_strategy = (
+                self._aiokafka_consumer_params.partition_assignment_strategy
+                or (RoundRobinPartitionAssignor,)
+            )
+            consumer_kwargs = model_dump(self._aiokafka_consumer_params)
+            consumer_kwargs["partition_assignment_strategy"] = (
+                partition_assignment_strategy
+            )
             self._aiokafka_consumer = AIOKafkaConsumer(
                 self._kafka_topic.name,
                 bootstrap_servers=self._bootstrap_servers,
                 loop=self._loop,
-                **self._aiokafka_consumer_params.dict(),
+                **consumer_kwargs,
             )
 
             await self._aiokafka_consumer.start()

taskiq_aio_kafka/broker.py

@@ -1,8 +1,6 @@
 from typing import Any, Callable, Optional, Union
 
 from aiokafka import __version__
-from kafka.coordinator.assignors.roundrobin import RoundRobinPartitionAssignor
-from kafka.partitioner.default import DefaultPartitioner
 from pydantic import BaseModel
 
 
@@ -18,7 +16,7 @@ class KafkaProducerParameters(BaseModel):
     value_serializer: Optional[Callable[..., bytes]] = None
     compression_type: Optional[str] = None
     max_batch_size: int = 16384
-    partitioner: Callable[..., Any] = DefaultPartitioner()
+    partitioner: Optional[Callable[..., Any]] = None
     max_request_size: int = 1048576
     linger_ms: int = 0
     send_backoff_ms: int = 100
@@ -55,7 +53,7 @@ class KafkaConsumerParameters(BaseModel):
     auto_commit_interval_ms: int = 5000
     check_crcs: bool = True
     metadata_max_age_ms: int = 5 * 60 * 1000
-    partition_assignment_strategy: Any = (RoundRobinPartitionAssignor,)
+    partition_assignment_strategy: Any = None
     max_poll_interval_ms: int = 300000
     rebalance_timeout_ms: Optional[int] = None
     session_timeout_ms: int = 10000

taskiq_aio_kafka/models.py

@@ -69,9 +69,9 @@ async def test_startup(
     assert broker_without_arguments._aiokafka_producer
     assert broker_without_arguments._kafka_admin_client
 
-    all_kafka_topics: List[
-        str
-    ] = broker_without_arguments._kafka_admin_client.list_topics()
+    all_kafka_topics: List[str] = (
+        broker_without_arguments._kafka_admin_client.list_topics()
+    )
 
     assert broker_without_arguments._kafka_topic.name in all_kafka_topics