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--- tanszek:oktatas:iss_t:rabbitmq [2023/05/08 08:23]
knehez létrehozva
+++ tanszek:oktatas:iss_t:rabbitmq [2023/06/27 12:38] (aktuális)
knehez
@@ Sor 7: / Sor 7: @@
   - Create a second client that reads the statistics from the 'qualityStatistics' queue and prints to the console, for example, '10 'WRONG' messages has been processed'.
+Let's try to solve the task with http://docker.iit.uni-miskolc.hu framework.
+=== Starting RabbitMQ in Docker ===
+To solve the task, it is recommended to start multiple instances (terminals). The first terminal will start the RabbitMQ server. Open a new terminal (node 1) and run the following command:
+<code>
+docker run -it --rm --name rabbitmq -p 5672:5672 -p 15672:15672 rabbitmq:management-alpine
+</code>
+After running the command above, the RabbitMQ management console will be accessible on port 15672, using the credentials guest/guest. In the left-side menu, you can find the internal IP address (10.x.y.z) of node1, which can be used in the clients and processors.
+Create another terminal and execute the following command:
+<code python>
+pip install pika
+</code>
+This command installs the pika module, which provides the connection to RabbitMQ.
+Create the //quality_message_sender.py//:
+Use the appropriate IP address in the //init(self):// method.
+<code python>
+import pika
+import random
+import time
+class QualitySender:
+    def __init__(self):
+        self.connection = pika.BlockingConnection(pika.ConnectionParameters('10.x.y.z'))
+        self.channel = self.connection.channel()
+        self.channel.queue_declare(queue='qualityQueue')
+    def start_sending(self):
+        qualities = ['GOOD', 'EXCELLENT', 'WRONG']
+        while True:
+            quality = random.choice(qualities)
+            self.channel.basic_publish(exchange='', routing_key='qualityQueue', body=quality)
+            print(f'Sent quality: {quality}')
+            time.sleep(1)
+    def close_connection(self):
+        self.connection.close()
+if __name__ == '__main__':
+    sender = QualitySender()
+    try:
+        sender.start_sending()
+    except KeyboardInterrupt:
+        sender.close_connection()
+</code>
+Let's create the //quality_message_consumer.py// file, and the create statistics:
+(do not forget to create it in an other terminal, and run //pip install pika// and set the proper IP in //pika.ConnectionParameters()// )
+<code python>
+import pika
+class QualityConsumer:
+    def __init__(self):
+        self.connection = pika.BlockingConnection(pika.ConnectionParameters('10.x.y.z'))
+        self.channel = self.connection.channel()
+        self.channel.queue_declare(queue='qualityQueue')
+        self.channel.queue_declare(queue='qualityStatistics')
+        self.message_count = {'GOOD': 0, 'EXCELLENT': 0, 'WRONG': 0}
+    def start_consuming(self):
+        def callback(ch, method, properties, body):
+            quality = body.decode()
+            self.message_count[quality] += 1
+            print(f'Received quality: {quality}')
+            if self.is_batch_completed():
+                self.send_statistics()
+                self.reset_message_count()
+        self.channel.basic_consume(queue='qualityQueue', on_message_callback=callback, auto_ack=True)
+        self.channel.start_consuming()
+    def send_statistics(self):
+        for quality, count in self.message_count.items():
+            if count > 0:
+                message = f'{count} {quality} messages has been processed'
+                self.channel.basic_publish(exchange='', routing_key='qualityStatistics', body=message)
+                print(f'Sent statistics: {message}')
+    def reset_message_count(self):
+        for quality in self.message_count:
+            self.message_count[quality] = 0
+    def is_batch_completed(self):
+        return sum(self.message_count.values()) >= 10
+    def close_connection(self):
+        self.connection.close()
+if __name__ == '__main__':
+    consumer = QualityConsumer()
+    try:
+        consumer.start_consuming()
+    except KeyboardInterrupt:
+        consumer.close_connection()
+</code>
+The third components prints the statistics. Let's create an other instance (terminal) and  create statistics_consumer.py
+<code python>
+import pika
+# RabbitMQ settings
+connection = pika.BlockingConnection(pika.ConnectionParameters('10.x.y.z'))
+channel = connection.channel()
+channel.queue_declare(queue='qualityStatistics')
+def callback(ch, method, properties, body):
+    message = body.decode()
+    print(f'{message}')
+    ch.basic_ack(delivery_tag=method.delivery_tag)
+channel.basic_consume(queue='qualityStatistics', on_message_callback=callback)
+print('Waiting for quality statistics...')
+channel.start_consuming()
+</code>

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