kadyrov_aydar_lab_4

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NAP 2024-10-27 01:53:34 +04:00
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import pika
import time
def callback(ch, method, properties, body):
print(f'Consumer 1 получил сообщение: {body.decode()}')
# Время задержки по условию
time.sleep(2)
print('Consumer 1 закончил обработку')
def consume_events_1():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
# Создание очереди
channel.queue_declare(queue='consumer1_queue')
# Привязка очереди
channel.queue_bind(exchange='beauty_salon_events', queue='consumer1_queue')
channel.basic_consume(queue='consumer1_queue', on_message_callback=callback, auto_ack=True)
print('Consumer 1 начал ожидать сообщения...')
channel.start_consuming()
if __name__ == "__main__":
consume_events_1()

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import pika
def callback(ch, method, properties, body):
print(f'Consumer 2 получил сообщение: {body.decode()}')
# Обработка "нон-стопом"
print('Consumer 2 закончил обработку')
def consume_events_2():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
# Создание очереди
channel.queue_declare(queue='consumer2_queue')
# Привязка очереди
channel.queue_bind(exchange='beauty_salon_events', queue='consumer2_queue')
channel.basic_consume(queue='consumer2_queue', on_message_callback=callback, auto_ack=True)
print('Consumer 2 начал ожидать сообщения...')
channel.start_consuming()
if __name__ == "__main__":
consume_events_2()

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### Лабораторная работа №4 - Работа с брокером сообщений
#### Задание
1. Установить брокер сообщений RabbitMQ.
2. Пройти уроки 1, 2 и 3 из RabbitMQ Tutorials на любом языке программирования.
3. Продемонстрировать работу брокера сообщений.
#### Описание работы программы:
- **Класс Publisher** успешно осуществляет отправку сообщений своим клиентам.
- **Класс Consumer1** принимает и обрабатывает сообщения с задержкой в 3 секунды, что можно заметить на видео.
- **Класс Consumer2** мгновенно принимает и обрабатывает сообщения.
#### Уроки
1. lesson_1
![lesson_1.png](lesson_1.png)
2. lesson_2
![lesson_2.png](lesson_2.png)
3. lesson_3
![lesson_3.png](lesson_3.png)
## Работа с RabbitMQ Management UI
![img_3.png](img_3.png)
## Показания очереди queue_1 при одном запущенном экземпляре Consumer_1
![img.png](img.png)
## Показания очереди queue_2
![img_1.png](img_1.png)
## Показания очереди queue_1 при двух запущенных экземплярах Consumer_1
![img_2.png](img_2.png)
## Показания очереди queue_1 при трех запущенных экземплярах Consumer_1
![img_4.png](img_4.png)
## Диспетчер задач
![img_5.png](img_5.png)
## Видео
https://vk.com/video64471408_456239207?list=ln-HGhG4o92uxLaxnsLRj

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import pika, sys, os
def main():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
def callback(ch, method, properties, body):
print(f" [x] Received {body}")
channel.basic_consume(queue='hello', on_message_callback=callback, auto_ack=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
channel.start_consuming()
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('Interrupted')
try:
sys.exit(0)
except SystemExit:
os._exit(0)

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import pika
connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
channel.basic_publish(exchange='', routing_key='hello', body='Hello World!')
print(" [x] Sent 'Hello World!'")
connection.close()

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import pika
import sys
connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
message = ' '.join(sys.argv[1:]) or "Hello World!"
channel.basic_publish(
exchange='',
routing_key='task_queue',
body=message,
properties=pika.BasicProperties(
delivery_mode=pika.DeliveryMode.Persistent
))
print(f" [x] Sent {message}")
connection.close()

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#!/usr/bin/env python
import pika
import time
connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.queue_declare(queue='task_queue', durable=True)
print(' [*] Waiting for messages. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(f" [x] Received {body.decode()}")
time.sleep(body.count(b'.'))
print(" [x] Done")
ch.basic_ack(delivery_tag=method.delivery_tag)
channel.basic_qos(prefetch_count=1)
channel.basic_consume(queue='task_queue', on_message_callback=callback)
channel.start_consuming()

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import pika
import sys
connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs', exchange_type='fanout')
message = ' '.join(sys.argv[1:]) or "info: Hello World!"
channel.basic_publish(exchange='logs', routing_key='', body=message)
print(f" [x] Sent {message}")
connection.close()

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import pika
connection = pika.BlockingConnection(
pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
channel.exchange_declare(exchange='logs', exchange_type='fanout')
result = channel.queue_declare(queue='', exclusive=True)
queue_name = result.method.queue
channel.queue_bind(exchange='logs', queue=queue_name)
print(' [*] Waiting for logs. To exit press CTRL+C')
def callback(ch, method, properties, body):
print(f" [x] {body}")
channel.basic_consume(
queue=queue_name, on_message_callback=callback, auto_ack=True)
channel.start_consuming()

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import pika
import time
def publish_events():
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
# Создание exchange типа fanout
channel.exchange_declare(exchange='beauty_salon_events', exchange_type='fanout')
events = [
"Test1",
"Test2",
"Test3",
"Test4",
"Test5"
]
while True:
event = events[int(time.time()) % len(events)]
channel.basic_publish(exchange='beauty_salon_events', routing_key='', body=event)
print(f'Отправлено: {event}')
time.sleep(1)
if __name__ == "__main__":
publish_events()