最近在用fastapi框架开发web后端,由于近几年python异步编程大火,fastapi凭借高性能也火了起来。本篇介绍了在异步环境下实现Redis消息队列的方法,代码可以直接拷贝到fastapi中使用。
安装相关库
pip install aioredis
消息队列实现及使用
我们使用redis的stream类型作为消息队列的载体
首先我们创建一个目录作为项目目录:works/
创建配置文件
在项目根目录下新建文件works/.env
在文件中写入
export APP_ENV=development
export REDIS_URL="192.168.70.130/"
export REDIS_USER=
export REDIS_PASSWORD=
export REDIS_HOST="192.168.70.130"
export REDIS_PORT=6379
代码实现
在项目目录下创建py文件works/main.py
import os
from dotenv import load_dotenv
import aioredis
import asyncio
load_dotenv()
class Redis():
def __init__(self):
"""initialize connection """
self.REDIS_URL = os.environ['REDIS_URL']
self.REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
self.REDIS_USER = os.environ['REDIS_USER']
self.connection_url = f"redis://{self.REDIS_USER}:{self.REDIS_PASSWORD}@{self.REDIS_URL}"
self.REDIS_HOST = os.environ['REDIS_HOST']
self.REDIS_PORT = os.environ['REDIS_PORT']
async def create_connection(self):
self.connection = aioredis.from_url(
self.connection_url, db=0)
return self.connection
class Producer:
def __init__(self, redis_client):
self.redis_client = redis_client
async def add_to_stream(self, data: dict, stream_channel):
"""将一条数据添加到队列
Args:
data (dict): _description_
stream_channel (_type_): _description_
Returns:
_type_: _description_
"""
try:
msg_id = await self.redis_client.xadd(name=stream_channel, id="*", fields=data)
print(f"Message id {msg_id} added to {stream_channel} stream")
return msg_id
except Exception as e:
raise Exception(f"Error sending msg to stream => {e}")
class StreamConsumer:
def __init__(self, redis_client):
self.redis_client = redis_client
async def consume_stream(self, count: int, block: int, stream_channel):
"""读取队列中的消息,但是并不删除
Args:
count (int): _description_
block (int): _description_
stream_channel (_type_): _description_
Returns:
_type_: _description_
"""
response = await self.redis_client.xread(
streams={stream_channel: '0-0'}, count=count, block=block)
return response
async def delete_message(self, stream_channel, message_id):
"""成功消费数据后,调用此函数删除队列数据
Args:
stream_channel (_type_): _description_
message_id (_type_): _description_
"""
await self.redis_client.xdel(stream_channel, message_id)
async def main():
redis_conn = await Redis().create_connection()
produce = Producer(redis_conn)
consumer = StreamConsumer(redis_conn)
# 添加一个消息到队列中
data = {'xiaoming4':123}
await produce.add_to_stream(data=data,stream_channel='message_channel')
# 从队列中拿出最新的1条数据
data = await consumer.consume_stream(1,block=0,stream_channel='message_channel')
print(data)
# 轮询等待队列中的新消息
response = await consumer.consume_stream(stream_channel="message_channel", count=1, block=0)
if response:
for stream, messagees in response:
print('stream:',stream)
for message in messagees:
print('message: ',message)
message_id = message[0]
print('message_id: ',message_id)
message_content = message[1]
print('message_content: ',message_content)
print('注意里面的键、值都变成了byte类型,需要进行解码:')
message_content:dict
print('message_content_decode: ',{k.decode('utf-8'):v.decode('utf-8') for k,v in message_content.items()})
# 消费成功后删除队列中的消息
await consumer.delete_message(
stream_channel='message_channel',message_id=message_id
)
if __name__ == '__main__':
asyncio.run(main())
非常简单好用,启动一下看看吧
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