控制频率之前用的是线程池的数量来控制，很难控制。因为做一键事情，做一万次，并不是每次消耗的时间都相同，所以很难推测出到底多少线程并发才刚好不超过指定的频率。
现在在框架中加入控频功能，即使开200线程，也能保证1秒钟只运行10次任务。
里面的rabbitpy后来加的，然来是使用pika的，就框架本身得实现写法上违反了开闭原则，没设计太好。好在不影响调用方式。
与celery相比
在推送任务方面比celery的delay要快，推送的任务小。
使用更简单，没那么花哨给函数加装饰器来注册函数路由。
可以满足生产了。
比之前的 使用redis原生list结构作为消息队列取代celery框架。 更好，主要是rabbitmq有消费确认的概念，redis没有，对随意关停正在运行的程序会造成任务丢失。
# -*- coding: utf-8 -*- from collections import Callable import time from threading import Lock import unittest import rabbitpy from pika import BasicProperties # noinspection PyUnresolvedReferences from rabbitpy.message import Properties import pika from pika.adapters.blocking_connection import BlockingChannel from pymongo.errors import PyMongoError 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 ExceptionForRetry(Exception): """为了重试的，抛出错误。只是定义了一个子类，用不用都可以""" class ExceptionForRabbitmqRequeue(Exception): """遇到此错误，重新放回队列中""" 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): """ parameters = pika.URLParameters('amqp://guest:guest@localhost:5672/%2F') connection = pika.SelectConnection(parameters=parameters, on_open_callback=on_open) :param username: :param password: :param host: :param port: :param virtual_host: :param heartbeat: """ 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}') """ # 屏蔽统计减少加锁，能加快速度。 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.rabbit_client.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, msg_schedule_time_intercal=0.0, 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 msg_schedule_time_intercal:消息调度的时间间隔，用于控频 :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._msg_schedule_time_intercal = msg_schedule_time_intercal 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.tomorrow_threads(100) @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 # 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}') time.sleep(self._msg_schedule_time_intercal) self.threadpool.submit(self._consuming_function_rabbitpy, message) def _consuming_function_rabbitpy(self, message: rabbitpy.message.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: if isinstance(e, (PyMongoError, ExceptionForRabbitmqRequeue)): return message.nack(requeue=True) self.logger.error(f'函数 {self.consuming_function} 第{current_retry_times+1}次发生错误， 原因是 {type(e)} {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.tomorrow_threads(100) @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}') time.sleep(self._msg_schedule_time_intercal) 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: if isinstance(e, (PyMongoError, ExceptionForRabbitmqRequeue)): return ch.basic_nack(delivery_tag=method.delivery_tag) self.logger.error(f'函数 {self.consuming_function} 第{current_retry_times+1}次发生错误， 原因是 {type(e)} {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)) # noinspection PyMethodMayBeStatic class _Test(unittest.TestCase): def test_publish(self): rabbitmq_publisher = RabbitmqPublisher('queue_test', is_use_rabbitpy=1, log_level_int=10) [rabbitmq_publisher.publish(str(msg)) for msg in range(2000)] def test_consume(self): 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=1, msg_schedule_time_intercal=0.5) rabbitmq_consumer.start_consuming_message() if __name__ == '__main__': unittest.main()