Optimizations to mqtt topic listening

mqtt_data_collector.py

@@ -33,8 +33,9 @@ def listen_topic(self):
         self.is_running = True
 
         client = mqtt.Client()
-        client.on_connect = self._on_connect_callback()
-        client.on_message = self._on_message_callback()
+
+        client.on_connect = self._on_connect_callback
+        client.on_message = self._on_message_callback
 
         try:
             # Enable debugging if needed
@@ -53,21 +54,16 @@ def listen_topic(self):
             self.is_running = False
 
     # The callback for when the client receives a CONNACK response from the server.
-    def _on_connect_callback(self):
-        def on_connect(client, userdata, flags, rc):
-            if rc == 0:
-                client.subscribe(self.topic_name)
-            else:
-                print(f"Error on connecting {client}, is our IP whitelisted for the topic?")
-
-        return on_connect
+    def _on_connect_callback(self, client, userdata, flags, rc):
+        if rc == 0:
+            client.subscribe(self.topic_name)
+        else:
+            print(f"Error on connecting {client}, is our IP whitelisted for the topic?")
 
     # # The callback for when a PUBLISH message is received from the server.
-    def _on_message_callback(self):
-        def on_message(client, userdata, msg):
-            self.msg_count += 1
-            # print(msg.topic+" "+str(msg.payload))
-        return on_message
+    def _on_message_callback(self, client, userdata, msg):
+        self.msg_count += 1
+        # print(msg.topic+" "+str(msg.payload))
 
     # Enable debugging if needed
     # def on_log_callback(self, client, userdata, level, buf):
@@ -116,18 +112,19 @@ def main():
                 print(f"Topic {topic.topic_name} was not running, starting it.")
                 topic.listen_topic()
 
-        # If listen period has passed, send data to Azure
-        if time.time() > time_end:
-            time_end = time.time() + MONITOR_PERIOD_IN_SECONDS
-            topic_data_map = {}
-            for topic in topic_list:
-                topic_data_map_key = f"{topic.topic_address}:{topic.topic_name}:{topic.topic_port}"
-                topic_data_map[topic_data_map_key] = topic.msg_count
-                topic.msg_count = 0
-            send_mqtt_msg_count_into_azure(topic_data_map)
-        time.sleep(1)
-
-def send_mqtt_msg_count_into_azure(topic_data_map):
+        sleep_time = time_end - time.time()
+        print(sleep_time)
+        # When listen period has passed, send data to Azure
+        time.sleep(sleep_time)
+        time_end = time.time() + MONITOR_PERIOD_IN_SECONDS
+        topic_data_map = {}
+        for topic in topic_list:
+            topic_data_map_key = f"{topic.topic_address}:{topic.topic_name}:{topic.topic_port}"
+            topic_data_map[topic_data_map_key] = topic.msg_count
+            topic.msg_count = 0
+        send_mqtt_msg_count_to_azure(topic_data_map)
+
+def send_mqtt_msg_count_to_azure(topic_data_map):
     """
     Send custom metrics into azure. Documentation for the required format can be found from here:
     https://docs.microsoft.com/en-us/azure/azure-monitor/essentials/metrics-custom-overview