pydantic fixes

examples/logger.py

@@ -11,7 +11,7 @@
 
 class UserLog(BaseModel):
     _is_log_model = True
-    user: Optional[str]
+    user: Optional[str] = None
 
 
 async def test_log() -> None:

kafkaesk/app.py

@@ -251,7 +251,7 @@ class Application(Router):
     Application configuration
     """
 
-    _producer: Optional[aiokafka.AIOKafkaProducer]
+    _producer: Optional[aiokafka.AIOKafkaProducer] = None
 
     def __init__(
         self,
@@ -535,9 +535,9 @@ async def __aenter__(self) -> "Application":
 
     async def __aexit__(
         self,
-        exc_type: Optional[Type[BaseException]],
-        exc: Optional[BaseException],
-        traceback: Optional[TracebackType],
+        exc_type: Optional[Type[BaseException]] = None,
+        exc: Optional[BaseException] = None,
+        traceback: Optional[TracebackType] = None,
     ) -> None:
         logger.info("Stopping application...", exc_info=exc)
         await self.finalize()

kafkaesk/consumer.py

@@ -143,7 +143,7 @@ async def inner(record: aiokafka.ConsumerRecord, span: opentracing.Span) -> None
 
 class BatchConsumer(aiokafka.ConsumerRebalanceListener):
     _subscription: Subscription
-    _close: typing.Optional[asyncio.Future]
+    _close: typing.Optional[asyncio.Future] = None
     _consumer: aiokafka.AIOKafkaConsumer
     _offsets: typing.Dict[aiokafka.TopicPartition, int]
     _message_handler: typing.Callable

kafkaesk/ext/logging/record.py

@@ -20,8 +20,8 @@ def __init__(
         exc_info: Union[
             Tuple[type, BaseException, Optional[TracebackType]], Tuple[None, None, None], None
         ],
-        func: Optional[str],
-        sinfo: Optional[str],
+        func: Optional[str] = None,
+        sinfo: Optional[str] = None,
         pydantic_data: Optional[List[pydantic.BaseModel]] = None,
     ):
         super().__init__(name, level, fn, lno, msg, args, exc_info, func, sinfo)
@@ -41,8 +41,8 @@ def factory(
     exc_info: Union[
         Tuple[type, BaseException, Optional[TracebackType]], Tuple[None, None, None], None
     ],
-    func: Optional[str],
-    sinfo: Optional[str],
+    func: Optional[str] = None,
+    sinfo: Optional[str] = None,
 ) -> PydanticLogRecord:
     pydantic_data: List[pydantic.BaseModel] = []
 

kafkaesk/kafka.py

@@ -15,9 +15,9 @@
 
 
 class KafkaTopicManager:
-    _admin_client: Optional[kafka.admin.client.KafkaAdminClient]
-    _client: Optional[kafka.KafkaClient]
-    _kafka_api_version: Optional[Tuple[int, ...]]
+    _admin_client: Optional[kafka.admin.client.KafkaAdminClient] = None
+    _client: Optional[kafka.KafkaClient] = None
+    _kafka_api_version: Optional[Tuple[int, ...]] = None
 
     def __init__(
         self,

kafkaesk/metrics.py

@@ -115,9 +115,9 @@ def __enter__(self) -> None:
 
     def __exit__(
         self,
-        exc_type: Optional[Type[Exception]],
-        exc_value: Optional[Exception],
-        exc_traceback: Optional[traceback.StackSummary],
+        exc_type: Optional[Type[Exception]] = None,
+        exc_value: Optional[Exception] = None,
+        exc_traceback: Optional[traceback.StackSummary] = None,
     ) -> None:
         error = NOERROR
         if self.histogram is not None:

pyproject.toml

@@ -1,12 +1,13 @@
 [tool.poetry]
 name = "kafkaesk"
-version = "0.8.4"
+version = "0.8.5"
 description = "Easy publish and subscribe to events with python and Kafka."
 authors = ["vangheem <[email protected]>", "pfreixes <[email protected]>"]
 classifiers = [
     "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
     "Framework :: AsyncIO",
     "License :: OSI Approved :: BSD License",
     "Topic :: System :: Distributed Computing"

stubs/aiokafka/__init__.py

@@ -79,13 +79,13 @@ class AIOKafkaConsumer:
     _client: AIOKafkaClient
     _coordinator: GroupCoordinator
     _subscription: Subscription
-    _group_id: Optional[str]
+    _group_id: Optional[str] = None
 
     def __init__(
         self,
         bootstrap_servers: List[str],
         loop: AbstractEventLoop,
-        group_id: Optional[str],
+        group_id: Optional[str] = None,
         api_version: str = "auto",
         **kwargs: Any,
     ):
@@ -95,7 +95,10 @@ async def getone(self, *partitions: Optional[List[TopicPartition]]) -> ConsumerR
         ...
 
     async def subscribe(
-            self, topics: Optional[List[str]] = None, pattern: Optional[str] = None, listener: Optional["ConsumerRebalanceListener"] = None
+        self,
+        topics: Optional[List[str]] = None,
+        pattern: Optional[str] = None,
+        listener: Optional["ConsumerRebalanceListener"] = None,
     ) -> None:
         ...
 

stubs/kafka/structs.py

@@ -9,7 +9,7 @@ class ConsumerRecord:
     topic: str
     value: bytes
     key: bytes
-    headers: Optional[List[Tuple[str, bytes]]]
+    headers: Optional[List[Tuple[str, bytes]]] = None
 
 
 class TopicPartition:

tests/acceptance/ext/logging/test_handler.py

@@ -31,7 +31,6 @@ def logger():
 
 @pytest_asyncio.fixture(scope="function")
 def stream_handler(logger):
-
     stream = io.StringIO()
     handler = PydanticStreamHandler(stream=stream)
     logger.addHandler(handler)
@@ -76,7 +75,6 @@ async def consume(data: PydanticLogModel):
 
 class TestPydanticStreamHandler:
     async def test_stream_handler(self, stream_handler, logger):
-
         logger.info("Test Message %s", "extra")
 
         message = stream_handler.getvalue()
@@ -86,7 +84,7 @@ async def test_stream_handler(self, stream_handler, logger):
     async def test_stream_handler_with_log_model(self, stream_handler, logger):
         class LogModel(pydantic.BaseModel):
             _is_log_model = True
-            foo: Optional[str]
+            foo: Optional[str] = None
 
         logger.info("Test Message %s", "extra", LogModel(foo="bar"))
 
@@ -112,7 +110,6 @@ class LogModel(pydantic.BaseModel):
 
 class TestPydanticKafkaeskHandler:
     async def test_kafka_handler(self, app, kafakesk_handler, logger, log_consumer):
-
         async with app:
             logger.info("Test Message %s", "extra")
             await app.flush()
@@ -124,7 +121,7 @@ async def test_kafka_handler(self, app, kafakesk_handler, logger, log_consumer):
     async def test_kafka_handler_with_log_model(self, app, kafakesk_handler, logger, log_consumer):
         class LogModel(pydantic.BaseModel):
             _is_log_model = True
-            foo: Optional[str]
+            foo: Optional[str] = None
 
         async with app:
             logger.info("Test Message %s", "extra", LogModel(foo="bar"))
@@ -184,7 +181,6 @@ def test_emit_drops_message_on_runtime_error_start(self):
 class TestKafkaeskQueue:
     @pytest_asyncio.fixture(scope="function")
     async def queue(self, request, app):
-
         max_queue = 10000
         for marker in request.node.iter_markers("with_max_queue"):
             max_queue = marker.args[0]
@@ -214,7 +210,6 @@ async def consume(data: PydanticLogModel):
         assert len(consumed) == 1
 
     async def test_queue_flush(self, app, queue, log_consumer):
-
         async with app:
             queue.start()
             for i in range(10):
@@ -228,7 +223,6 @@ async def test_queue_flush(self, app, queue, log_consumer):
         assert len(log_consumer) == 10
 
     async def test_queue_flush_on_close(self, app, queue, log_consumer):
-
         async with app:
             queue.start()
             await asyncio.sleep(0.1)
@@ -245,7 +239,6 @@ async def test_queue_flush_on_close(self, app, queue, log_consumer):
 
     @pytest.mark.with_max_queue(1)
     async def test_queue_max_size(self, app, queue):
-
         queue.start()
         queue.put_nowait("log.test", PydanticLogModel())
 

tests/acceptance/ext/logging/test_record.py

@@ -29,7 +29,7 @@ async def test_factory_return_type() -> None:
 async def test_factory_adds_pydantic_models() -> None:
     class LogModel(pydantic.BaseModel):
         _is_log_model = True
-        foo: Optional[str]
+        foo: Optional[str] = None
 
     record = factory(
         name="logger.test",
@@ -66,7 +66,7 @@ async def test_factory_formats_msg() -> None:
 async def test_factory_formats_msg_and_adds_pydantic_model() -> None:
     class LogModel(pydantic.BaseModel):
         _is_log_model = True
-        foo: Optional[str]
+        foo: Optional[str] = None
 
     record = factory(
         name="logger.test",