fix: Handle window closes correctly in reducestreamer

packages/pynumaflow/pynumaflow/reducestreamer/async_server.py

@@ -1,8 +1,12 @@
+import asyncio
+import contextlib
 import inspect
+import sys
 
 import aiorun
 import grpc
 
+from pynumaflow.info.server import write as info_server_write
 from pynumaflow.info.types import ServerInfo, ContainerType, MINIMUM_NUMAFLOW_VERSION
 from pynumaflow.proto.reducer import reduce_pb2_grpc
 
@@ -15,6 +19,7 @@
     REDUCE_STREAM_SOCK_PATH,
     REDUCE_STREAM_SERVER_INFO_FILE_PATH,
     MAX_NUM_THREADS,
+    NUMAFLOW_GRPC_SHUTDOWN_GRACE_PERIOD_SECONDS,
 )
 
 from pynumaflow.reducestreamer._dtypes import (
@@ -23,7 +28,7 @@
     ReduceStreamer,
 )
 
-from pynumaflow.shared.server import NumaflowServer, check_instance, start_async_server
+from pynumaflow.shared.server import NumaflowServer, check_instance
 
 
 def get_handler(
@@ -156,6 +161,7 @@ def __init__(
         ]
         # Get the servicer instance for the async server
         self.servicer = AsyncReduceStreamServicer(self.reduce_stream_handler)
+        self._error: BaseException | None = None
 
     def start(self):
         """
@@ -166,6 +172,9 @@ def start(self):
             "Starting Async Reduce Stream Server",
         )
         aiorun.run(self.aexec(), use_uvloop=True, shutdown_callback=self.shutdown_callback)
+        if self._error:
+            _LOGGER.critical("Server exiting due to UDF error: %s", self._error)
+            sys.exit(1)
 
     async def aexec(self):
         """
@@ -178,15 +187,42 @@ async def aexec(self):
         # Create a new async server instance and add the servicer to it
         server = grpc.aio.server(options=self._server_options)
         server.add_insecure_port(self.sock_path)
+
+        # The asyncio.Event must be created here (inside aexec) rather than in __init__,
+        # because it must be bound to the running event loop that aiorun creates.
+        shutdown_event = asyncio.Event()
+        self.servicer.set_shutdown_event(shutdown_event)
+
         reduce_pb2_grpc.add_ReduceServicer_to_server(self.servicer, server)
 
         serv_info = ServerInfo.get_default_server_info()
         serv_info.minimum_numaflow_version = MINIMUM_NUMAFLOW_VERSION[ContainerType.Reducestreamer]
-        await start_async_server(
-            server_async=server,
-            sock_path=self.sock_path,
-            max_threads=self.max_threads,
-            cleanup_coroutines=list(),
-            server_info_file=self.server_info_file,
-            server_info=serv_info,
+
+        await server.start()
+        info_server_write(server_info=serv_info, info_file=self.server_info_file)
+
+        _LOGGER.info(
+            "Async GRPC Reduce Stream Server listening on: %s with max threads: %s",
+            self.sock_path,
+            self.max_threads,
         )
+
+        async def _watch_for_shutdown():
+            """Wait for the shutdown event and stop the server with a grace period."""
+            await shutdown_event.wait()
+            _LOGGER.info("Shutdown signal received, stopping server gracefully...")
+            await server.stop(NUMAFLOW_GRPC_SHUTDOWN_GRACE_PERIOD_SECONDS)
+
+        shutdown_task = asyncio.create_task(_watch_for_shutdown())
+        await server.wait_for_termination()
+
+        # Propagate error so start() can exit with a non-zero code
+        self._error = self.servicer._error
+
+        shutdown_task.cancel()
+        with contextlib.suppress(asyncio.CancelledError):
+            await shutdown_task
+
+        _LOGGER.info("Stopping event loop...")
+        asyncio.get_event_loop().stop()
+        _LOGGER.info("Event loop stopped")

packages/pynumaflow/pynumaflow/reducestreamer/servicer/async_servicer.py

@@ -3,7 +3,7 @@
 
 from google.protobuf import empty_pb2 as _empty_pb2
 
-from pynumaflow._constants import ERR_UDF_EXCEPTION_STRING
+from pynumaflow._constants import ERR_UDF_EXCEPTION_STRING, _LOGGER
 from pynumaflow.proto.reducer import reduce_pb2, reduce_pb2_grpc
 from pynumaflow.reducestreamer._dtypes import (
     Datum,
@@ -12,7 +12,7 @@
     ReduceRequest,
 )
 from pynumaflow.reducestreamer.servicer.task_manager import TaskManager
-from pynumaflow.shared.server import handle_async_error
+from pynumaflow.shared.server import update_context_err
 from pynumaflow.types import NumaflowServicerContext
 
 
@@ -47,6 +47,12 @@ def __init__(
     ):
         # The Reduce handler can be a function or a builder class instance.
         self.__reduce_handler: ReduceStreamAsyncCallable | _ReduceStreamBuilderClass = handler
+        self._shutdown_event: asyncio.Event | None = None
+        self._error: BaseException | None = None
+
+    def set_shutdown_event(self, event: asyncio.Event):
+        """Wire up the shutdown event created by the server's aexec() coroutine."""
+        self._shutdown_event = event
 
     async def ReduceFn(
         self,
@@ -94,20 +100,50 @@ async def ReduceFn(
             async for msg in consumer:
                 # If the message is an exception, we raise the exception
                 if isinstance(msg, BaseException):
-                    await handle_async_error(context, msg, ERR_UDF_EXCEPTION_STRING)
+                    err_msg = f"ReduceStreamError, {ERR_UDF_EXCEPTION_STRING}: {repr(msg)}"
+                    _LOGGER.critical(err_msg, exc_info=True)
+                    update_context_err(context, msg, err_msg)
+                    self._error = msg
+                    if self._shutdown_event is not None:
+                        self._shutdown_event.set()
                     return
                 # Send window EOF response or Window result response
                 # back to the client
                 else:
                     yield msg
+        except GeneratorExit:
+            # ReduceFn is an async generator (it yields messages). When Numaflow closes a
+            # window, gRPC calls .aclose() on this generator, throwing GeneratorExit at
+            # the yield point. This is normal stream lifecycle — return cleanly.
+            return
+        except asyncio.CancelledError:
+            # SIGTERM: aiorun cancelled all tasks. Signal the server to stop so
+            # Server.__del__ doesn't try to schedule on a closed event loop.
+            if self._shutdown_event is not None:
+                self._shutdown_event.set()
+            return
         except BaseException as e:
-            await handle_async_error(context, e, ERR_UDF_EXCEPTION_STRING)
+            err_msg = f"ReduceStreamError, {ERR_UDF_EXCEPTION_STRING}: {repr(e)}"
+            _LOGGER.critical(err_msg, exc_info=True)
+            update_context_err(context, e, err_msg)
+            self._error = e
+            if self._shutdown_event is not None:
+                self._shutdown_event.set()
             return
         # Wait for the process_input_stream task to finish for a clean exit
         try:
             await producer
+        except asyncio.CancelledError:
+            if self._shutdown_event is not None:
+                self._shutdown_event.set()
+            return
         except BaseException as e:
-            await handle_async_error(context, e, ERR_UDF_EXCEPTION_STRING)
+            err_msg = f"ReduceStreamError, {ERR_UDF_EXCEPTION_STRING}: {repr(e)}"
+            _LOGGER.critical(err_msg, exc_info=True)
+            update_context_err(context, e, err_msg)
+            self._error = e
+            if self._shutdown_event is not None:
+                self._shutdown_event.set()
             return
 
     async def IsReady(

packages/pynumaflow/pynumaflow/reducestreamer/servicer/task_manager.py

@@ -195,6 +195,9 @@ async def __invoke_reduce(
             new_instance = self.__reduce_handler.create()
         try:
             _ = await new_instance(keys, request_iterator, output, md)
+        except asyncio.CancelledError:
+            _LOGGER.info("ReduceStream __invoke_reduce cancelled, returning cleanly")
+            return
         # If there is an error in the reduce operation, log and
         # then send the error to the result queue
         except BaseException as err:
@@ -217,6 +220,9 @@ async def process_input_stream(self, request_iterator: AsyncIterable[reduce_pb2.
                         # append the task data to the existing task
                         # if the task does not exist, create a new task
                         await self.send_datum_to_task(request)
+        except asyncio.CancelledError:
+            _LOGGER.info("ReduceStream process_input_stream cancelled, returning cleanly")
+            return
         # If there is an error in the reduce operation, log and
         # then send the error to the result queue
         except BaseException as e:
@@ -261,6 +267,9 @@ async def process_input_stream(self, request_iterator: AsyncIterable[reduce_pb2.
 
             # Once all tasks are completed, senf EOF the global result queue
             await self.global_result_queue.put(STREAM_EOF)
+        except asyncio.CancelledError:
+            _LOGGER.info("ReduceStream post-processing cancelled, returning cleanly")
+            return
         except BaseException as e:
             err_msg = f"Reduce Streaming Error: {repr(e)}"
             _LOGGER.critical(err_msg, exc_info=True)