67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import asyncio
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import aio_pika
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from config import RABBITMQ_URI
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async def queue_consumer(queue_name: str, consumer_id: int):
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"""
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单个队列的消费者
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:param queue_name: 要监听的队列名称
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:param consumer_id: 消费者ID，用于区分不同实例
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"""
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# 建立连接
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connection = await aio_pika.connect_robust(RABBITMQ_URI)
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channel = await connection.channel()
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# 开启公平调度，确保消息均匀分配
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# 消费者处理完一条消息后才会接收下一条
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await channel.set_qos(prefetch_count=1)
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# 声明要监听的队列（与生产者中创建的队列对应）
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queue = await channel.declare_queue(
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queue_name,
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durable=True,
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auto_delete=False
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)
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# 消息处理函数
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async def on_message(message: aio_pika.IncomingMessage):
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# 自动确认消息（处理完成后从队列中删除）
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async with message.process():
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content = message.body.decode("utf-8")
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print(f"【消费者{consumer_id}】处理消息：{content}")
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print(f"【消费者{consumer_id}】来自队列：{queue_name}")
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print(f"【消费者{consumer_id}】路由键：{message.routing_key}\n")
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# 模拟业务处理耗时（根据实际场景调整）
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await asyncio.sleep(1)
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# 开始消费队列消息
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await queue.consume(on_message)
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print(f"【消费者{consumer_id}】已启动，正在监听队列：{queue_name}")
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# 保持消费者运行（无限期阻塞）
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await asyncio.Future()
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async def start_balanced_consumers(
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queue_prefix="task.queue.",
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queue_count=3
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):
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"""启动多个消费者，每个消费者对应一个队列"""
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# 创建消费者任务列表
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consumer_tasks = []
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for i in range(queue_count):
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queue_name = f"{queue_prefix}{i + 1}"
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# 每个队列对应一个独立的消费者
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task = asyncio.create_task(queue_consumer(queue_name, i + 1))
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consumer_tasks.append(task)
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# 同时运行所有消费者
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await asyncio.gather(*consumer_tasks)
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if __name__ == "__main__":
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# 启动3个消费者，分别对应3个队列
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asyncio.run(start_balanced_consumers(queue_count=3))
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