Handle RabbitMQ publish when offline and avoid duplicate init

Author: [email protected]

src/memos/mem_scheduler/base_scheduler.py

@@ -844,6 +844,9 @@ def _submit_web_logs(
                 f"[DIAGNOSTIC] base_scheduler._submit_web_logs called. Message to publish: {message.model_dump_json(indent=2)}"
             )
         if self.rabbitmq_config is None:
+            logger.info(
+                "[DIAGNOSTIC] base_scheduler._submit_web_logs: RabbitMQ config not loaded; skipping publish."
+            )
             return
 
         if isinstance(messages, ScheduleLogForWebItem):
@@ -859,9 +862,9 @@ def _submit_web_logs(
             message_info = message.debug_info()
             logger.debug(f"Submitted Scheduling log for web: {message_info}")
 
-            if self.is_rabbitmq_connected():
-                logger.info(f"Submitted Scheduling log to rabbitmq: {message_info}")
-                self.rabbitmq_publish_message(message=message.to_dict())
+            # Always call publish; the publisher now caches when offline and flushes after reconnect
+            logger.info(f"[DIAGNOSTIC] base_scheduler._submit_web_logs: enqueue publish {message_info}")
+            self.rabbitmq_publish_message(message=message.to_dict())
         logger.debug(
             f"{len(messages)} submitted. {self._web_log_message_queue.qsize()} in queue. additional_log_info: {additional_log_info}"
         )

src/memos/mem_scheduler/webservice_modules/rabbitmq_service.py

@@ -4,6 +4,7 @@
 import threading
 import time
 
+from queue import Empty
 from pathlib import Path
 
 from memos.configs.mem_scheduler import AuthConfig, RabbitMQConfig
@@ -44,6 +45,11 @@ def __init__(self):
         self.rabbitmq_message_cache = AutoDroppingQueue(
             maxsize=self.rabbitmq_message_cache_max_size
         )
+        # Pending outgoing messages to avoid loss when connection is not ready
+        self.rabbitmq_publish_cache_max_size = 50
+        self.rabbitmq_publish_cache = AutoDroppingQueue(
+            maxsize=self.rabbitmq_publish_cache_max_size
+        )
         self.rabbitmq_connection_attempts = 3  # Max retry attempts on connection failure
         self.rabbitmq_retry_delay = 5  # Delay (seconds) between retries
         self.rabbitmq_heartbeat = 60  # Heartbeat interval (seconds) for connectio
@@ -54,6 +60,7 @@ def __init__(self):
         self._rabbitmq_io_loop_thread = None  # For IOLoop execution
         self._rabbitmq_stop_flag = False  # Graceful shutdown flag
         self._rabbitmq_lock = threading.Lock()  # Ensure thread safety
+        self._rabbitmq_initializing = False  # Avoid duplicate concurrent initializations
 
     def is_rabbitmq_connected(self) -> bool:
         """Check if RabbitMQ connection is alive"""
@@ -70,11 +77,20 @@ def initialize_rabbitmq(
         """
         Establish connection to RabbitMQ using pika.
         """
+        with self._rabbitmq_lock:
+            if self._rabbitmq_initializing:
+                logger.info("[DIAGNOSTIC] initialize_rabbitmq: initialization already in progress; skipping duplicate call.")
+                return
+            self._rabbitmq_initializing = True
         try:
             # Skip remote initialization in CI/pytest unless explicitly enabled
             enable_env = os.getenv("MEMOS_ENABLE_RABBITMQ", "").lower() == "true"
             in_ci = os.getenv("CI", "").lower() == "true"
             in_pytest = os.getenv("PYTEST_CURRENT_TEST") is not None
+            logger.info(
+                f"[DIAGNOSTIC] initialize_rabbitmq called. in_ci={in_ci}, in_pytest={in_pytest}, "
+                f"MEMOS_ENABLE_RABBITMQ={enable_env}, config_path={config_path}"
+            )
             if (in_ci or in_pytest) and not enable_env:
                 logger.info(
                     "Skipping RabbitMQ initialization in CI/test environment. Set MEMOS_ENABLE_RABBITMQ=true to enable."
@@ -131,6 +147,9 @@ def initialize_rabbitmq(
             logger.info("RabbitMQ connection process started")
         except Exception:
             logger.error("Fail to initialize auth_config", exc_info=True)
+        finally:
+            with self._rabbitmq_lock:
+                self._rabbitmq_initializing = False
 
     def get_rabbitmq_queue_size(self) -> int:
         """Get the current number of messages in the queue.
@@ -197,7 +216,7 @@ def get_rabbitmq_connection_param(self):
     # Connection lifecycle callbacks
     def on_rabbitmq_connection_open(self, connection):
         """Called when connection is established."""
-        logger.debug("Connection opened")
+        logger.info("[DIAGNOSTIC] RabbitMQ connection opened")
         connection.channel(on_open_callback=self.on_rabbitmq_channel_open)
 
     def on_rabbitmq_connection_error(self, connection, error):
@@ -215,7 +234,7 @@ def on_rabbitmq_connection_closed(self, connection, reason):
     def on_rabbitmq_channel_open(self, channel):
         """Called when channel is ready."""
         self.rabbitmq_channel = channel
-        logger.debug("Channel opened")
+        logger.info("[DIAGNOSTIC] RabbitMQ channel opened")
 
         # Setup exchange and queue
         channel.exchange_declare(
@@ -243,6 +262,8 @@ def on_rabbitmq_queue_declared(self, frame):
     def on_rabbitmq_bind_ok(self, frame):
         """Final setup step when bind is complete."""
         logger.info("RabbitMQ setup completed")
+        # Flush any cached publish messages now that connection is ready
+        self._flush_cached_publish_messages()
 
     def on_rabbitmq_message(self, channel, method, properties, body):
         """Handle incoming messages. Only for test."""
@@ -311,11 +332,24 @@ def rabbitmq_publish_message(self, message: dict):
             logger.info(f"  - Message Content: {json.dumps(message, indent=2)}")
 
         with self._rabbitmq_lock:
+            logger.info(
+                f"[DIAGNOSTIC] rabbitmq_service.rabbitmq_publish_message invoked. "
+                f"is_connected={self.is_rabbitmq_connected()}, exchange={exchange_name}, "
+                f"routing_key='{routing_key}', label={label}"
+            )
             if not self.is_rabbitmq_connected():
-                logger.error("Cannot publish - no active connection")
+                logger.error(
+                    "[DIAGNOSTIC] Cannot publish - no active connection. Caching message for retry. "
+                    f"connection_exists={bool(self.rabbitmq_connection)}, "
+                    f"channel_exists={bool(self.rabbitmq_channel)}, "
+                    f"config_loaded={self.rabbitmq_config is not None}"
+                )
+                self.rabbitmq_publish_cache.put(message)
+                # Best-effort to connect
+                self.initialize_rabbitmq(config=self.rabbitmq_config)
                 return False
 
-            logger.info(
+            logger.warning(
                 f"[DIAGNOSTIC] rabbitmq_service.rabbitmq_publish_message: Attempting to publish message. Exchange: {exchange_name}, Routing Key: {routing_key}, Message Content: {json.dumps(message, indent=2, ensure_ascii=False)}"
             )
             try:
@@ -332,6 +366,8 @@ def rabbitmq_publish_message(self, message: dict):
                 return True
             except Exception as e:
                 logger.error(f"Failed to publish message: {e}")
+                # Cache message for retry on next connection
+                self.rabbitmq_publish_cache.put(message)
                 self.rabbit_reconnect()
                 return False
 
@@ -379,3 +415,37 @@ def rabbitmq_close(self):
                     logger.warning("IOLoop thread did not terminate cleanly")
 
         logger.info("RabbitMQ connection closed")
+
+    def _flush_cached_publish_messages(self):
+        """Flush cached outgoing messages once connection is available."""
+        if self.rabbitmq_publish_cache.empty():
+            return
+
+        if not self.is_rabbitmq_connected():
+            logger.info(
+                "[DIAGNOSTIC] _flush_cached_publish_messages: connection still down; "
+                f"pending={self.rabbitmq_publish_cache.qsize()}"
+            )
+            return
+
+        drained: list[dict] = []
+        while True:
+            try:
+                drained.append(self.rabbitmq_publish_cache.get_nowait())
+            except Empty:
+                break
+
+        if not drained:
+            return
+
+        logger.info(
+            f"[DIAGNOSTIC] Flushing {len(drained)} cached RabbitMQ messages after reconnect."
+        )
+        for cached_msg in drained:
+            success = self.rabbitmq_publish_message(cached_msg)
+            if not success:
+                # Message already re-cached inside publish; avoid tight loop
+                logger.error(
+                    "[DIAGNOSTIC] Failed to flush cached message; re-queued for next attempt."
+                )
+                break