之前看网上都是清一色pika包的例子，就用的pika包，最大问题是非多线程安全，改为使用rabbitpy。大幅改善了pika多线程需要加锁，和外网推送延迟又不能开多线程导致推送慢的问题。
rabbitpy有个适配器，可以把rabbitpy包的channel适配成与pika包的channel的相同公有方法，减少了难度。
高层次封装，使用参数来控制使用什么包来操作rabbitmq。
# -*- coding: utf-8 -*-
# @Author : ydf
from collections import Callable
import time
from threading import Lock
import rabbitpy
from pika import BasicProperties
# noinspection PyUnresolvedReferences
from rabbitpy.message import Properties
import pika
from pika.adapters.blocking_connection import BlockingChannel
from app.utils_ydf import LogManager
from app.utils_ydf.mixins import LoggerMixin
from app.utils_ydf import decorators
from app.utils_ydf import BoundedThreadPoolExecutor
from app import config as app_config
LogManager('pika.heartbeat').get_logger_and_add_handlers(1)
LogManager('rabbitpy').get_logger_and_add_handlers(2)
LogManager('rabbitpy.base').get_logger_and_add_handlers(2)
class RabbitmqClientRabbitPy:
"""
使用rabbitpy包。
"""
# noinspection PyUnusedLocal
def __init__(self, username, password, host, port, virtual_host, heartbeat=60):
rabbit_url = f'amqp://{username}:{password}@{host}:{port}/{virtual_host}'
self.connection = rabbitpy.Connection(rabbit_url)
def creat_a_channel(self) -> rabbitpy.AMQP:
return rabbitpy.AMQP(self.connection.channel()) # 使用适配器，使rabbitpy包的公有方法几乎接近pika包的channel的方法。
class RabbitmqClientPika:
"""
使用pika包,多线程不安全的包。
"""
def __init__(self, username, password, host, port, virtual_host, heartbeat=60):
credentials = pika.PlainCredentials(username, password)
self.connection = pika.BlockingConnection(pika.ConnectionParameters(
host, port, virtual_host, credentials, heartbeat=heartbeat))
def creat_a_channel(self) -> BlockingChannel:
return self.connection.channel()
class RabbitMqFactory:
def __init__(self, username=app_config.RABBITMQ_USER, password=app_config.RABBITMQ_PASS, host=app_config.RABBITMQ_HOST, port=app_config.RABBITMQ_PORT, virtual_host=app_config.RABBITMQ_VIRTUAL_HOST, heartbeat=60, is_use_rabbitpy=1):
"""
:param username:
:param password:
:param port:
:param virtual_host:
:param heartbeat:
:param is_use_rabbitpy: 为0使用pika，多线程不安全。为1使用rabbitpy，多线程安全的包。
"""
if is_use_rabbitpy:
self.rabbit_client = RabbitmqClientRabbitPy(username, password, host, port, virtual_host, heartbeat)
else:
self.rabbit_client = RabbitmqClientPika(username, password, host, port, virtual_host, heartbeat)
def get_rabbit_cleint(self):
return self.rabbit_client
class RabbitmqPublisher(LoggerMixin):
def __init__(self, queue_name, is_use_rabbitpy=1, log_level_int=10):
"""
:param queue_name:
:param is_use_rabbitpy: 是否使用rabbitpy包。不推荐使用pika。
:param log_level_int:
"""
self._queue_name = queue_name
self._is_use_rabbitpy = is_use_rabbitpy
self.logger.setLevel(log_level_int)
self.rabbit_client = RabbitMqFactory(is_use_rabbitpy=is_use_rabbitpy).get_rabbit_cleint()
self.channel = self.rabbit_client.creat_a_channel()
self.queue = self.channel.queue_declare(queue=queue_name, durable=True)
self._lock_for_pika = Lock()
self._lock_for_count = Lock()
self._current_time = None
self.count_per_minute = None
self._init_count()
self.logger.info(f'{self.__class__} 被实例化了')
def _init_count(self):
with self._lock_for_count:
self._current_time = time.time()
self.count_per_minute = 0
def publish(self, msg: str):
if self._is_use_rabbitpy:
self._publish_rabbitpy(msg)
else:
self._publish_pika(msg)
self.logger.debug(f'向{self._queue_name} 队列，推送消息 {msg}')
with self._lock_for_count:
self.count_per_minute += 1
if time.time() - self._current_time > 60:
self._init_count()
self.logger.info(f'一分钟内推送了 {self.count_per_minute} 条消息到 {self.channel.connection} 中')
@decorators.tomorrow_threads(100)
def _publish_rabbitpy(self, msg: str):
# noinspection PyTypeChecker
self.channel.basic_publish(
exchange='',
routing_key=self._queue_name,
body=msg,
properties={'delivery_mode': 2},
)
def _publish_pika(self, msg: str):
with self._lock_for_pika: # 亲测pika多线程publish会出错。
self.channel.basic_publish(exchange='',
routing_key=self._queue_name,
body=msg,
properties=BasicProperties(
delivery_mode=2, # make message persistent
)
)
def clear(self):
self.channel.queue_purge(self._queue_name)
def get_message_count(self):
if self._is_use_rabbitpy:
return self._get_message_count_rabbitpy()
else:
return self._get_message_count_pika()
def _get_message_count_pika(self):
queue = self.channel.queue_declare(queue=self._queue_name, durable=True)
return queue.method.message_count
def _get_message_count_rabbitpy(self):
ch = self.rabbit_client.connection.channel()
q = rabbitpy.amqp_queue.Queue(ch, self._queue_name)
q.durable = True
msg_count = q.declare(passive=True)[0]
ch.close()
return msg_count
class RabbitmqConsumer(LoggerMixin):
def __init__(self, queue_name, consuming_function: Callable = None, threads_num=100, max_retry_times=3, log_level=10, is_print_detail_exception=True, is_use_rabbitpy=1):
"""
:param queue_name:
:param consuming_function: 处理消息的函数，函数有且只能有一个参数，参数表示消息。是为了简单，放弃策略和模板来强制参数。
:param threads_num:
:param max_retry_times:
:param log_level:
:param is_print_detail_exception:
:param is_use_rabbitpy: 是否使用rabbitpy包。不推荐使用pika.
"""
self._queue_name = queue_name
self.consuming_function = consuming_function
self._threads_num = threads_num
self.threadpool = BoundedThreadPoolExecutor(threads_num)
self._max_retry_times = max_retry_times
self.logger.setLevel(log_level)
self.logger.info(f'{self.__class__} 被实例化')
self._is_print_detail_exception = is_print_detail_exception
self._is_use_rabbitpy = is_use_rabbitpy
def start_consuming_message(self):
if self._is_use_rabbitpy:
self.start_consuming_message_rabbitpy()
else:
self.start_consuming_message_pika()
@decorators.keep_circulating(1) # 是为了保证无论rabbitmq异常中断多久，无需重启程序就能保证恢复后，程序正常。
def start_consuming_message_rabbitpy(self):
# noinspection PyArgumentEqualDefault
channel = RabbitMqFactory(is_use_rabbitpy=1).get_rabbit_cleint().creat_a_channel() # type: rabbitpy.AMQP # 此处先固定使用pika.
channel.queue_declare(queue=self._queue_name, durable=True)
channel.basic_qos(prefetch_count=self._threads_num)
for message in channel.basic_consume(self._queue_name):
body = message.body.decode()
self.logger.debug(f'从rabbitmq取出的消息是： {body}')
self.threadpool.submit(self.__consuming_function_rabbitpy, message)
def __consuming_function_rabbitpy(self, message, current_retry_times=0):
if current_retry_times < self._max_retry_times:
# noinspection PyBroadException
try:
self.consuming_function(message.body.decode())
message.ack()
except Exception as e:
self.logger.error(f'函数 {self.consuming_function} 第{current_retry_times+1}次发生错误，\n 原因是{e}', exc_info=self._is_print_detail_exception)
self.__consuming_function_rabbitpy(message, current_retry_times + 1)
else:
self.logger.critical(f'达到最大重试次数 {self._max_retry_times} 后,仍然失败') # 错得超过指定的次数了，就确认消费了。
message.ack()
@decorators.keep_circulating(1) # 是为了保证无论rabbitmq异常中断多久，无需重启程序就能保证恢复后，程序正常。
def start_consuming_message_pika(self):
channel = RabbitMqFactory(is_use_rabbitpy=0).get_rabbit_cleint().creat_a_channel() # 此处先固定使用pika.
channel.queue_declare(queue=self._queue_name, durable=True)
channel.basic_qos(prefetch_count=self._threads_num)
def callback(ch, method, properties, body):
body = body.decode()
self.logger.debug(f'从rabbitmq取出的消息是： {body}')
self.threadpool.submit(self.__consuming_function_pika, ch, method, properties, body)
channel.basic_consume(callback,
queue=self._queue_name,
# no_ack=True
)
channel.start_consuming()
@staticmethod
def ack_message_pika(channelx, delivery_tagx):
"""Note that `channel` must be the same pika channel instance via which
the message being ACKed was retrieved (AMQP protocol constraint).
"""
if channelx.is_open:
channelx.basic_ack(delivery_tagx)
else:
# Channel is already closed, so we can't ACK this message;
# log and/or do something that makes sense for your app in this case.
pass
def __consuming_function_pika(self, ch, method, properties, body, current_retry_times=0):
if current_retry_times < self._max_retry_times:
# noinspection PyBroadException
try:
self.consuming_function(body)
ch.basic_ack(delivery_tag=method.delivery_tag)
# self.rabbitmq_helper.connection.add_callback_threadsafe(functools.partial(self.ack_message, ch, method.delivery_tag))
except Exception as e:
self.logger.error(f'函数 {self.consuming_function} 第{current_retry_times+1}次发生错误，\n 原因是{e}', exc_info=self._is_print_detail_exception)
self.__consuming_function_pika(ch, method, properties, body, current_retry_times + 1)
else:
self.logger.critical(f'达到最大重试次数 {self._max_retry_times} 后,仍然失败') # 错得超过指定的次数了，就确认消费了。
ch.basic_ack(delivery_tag=method.delivery_tag)
# self.rabbitmq_helper.connection.add_callback_threadsafe(functools.partial(self.ack_message, ch, method.delivery_tag))
if __name__ == '__main__':
with decorators.TimerContextManager():
# noinspection PyArgumentEqualDefault
rabbitmq_publisher = RabbitmqPublisher('queue_test', is_use_rabbitpy=1)
# print(rabbitmq_publisher.get_message_count())
# def pub(msg):
# # print(msg)
# rabbitmq_publisher.publish(msg)
#
#
# [pub(str(i)) for i in range(200000)]
# time.sleep(10)
# def f(body):
# print('.... ', body)
# time.sleep(10) # 模拟做某事需要阻塞10秒种，必须用并发。
#
#
# rabbitmq_consumer = RabbitmqConsumer('queue_test', consuming_function=f, threads_num=200, is_use_rabbitpy=0)
# rabbitmq_consumer.start_consuming_message()
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