使用redis原生list结构作为消息队列取代celery框架。
1、web后台对大批量的繁重的io任务需要解耦使用分布式异步技术,否则会使接口阻塞,并发延迟,一般就选celery好了。此篇的取代主要是针对取代celery的worker模式。没有涉及到周期和定时模式。
2、对我来说celery提供了 分布式,任务路由,超时杀死,任务过期丢弃,任务限速,并发模型选择,并发池大小这些功能。
3、此篇除了并发模型固定为了线程模式,其余的特点都实现了。基本上的代码复用了之前使用celery框架的代码,只有任务调度变了,所以从celery改为自定义只花了3小时就改过来了。
4、具体是先实现基本骨架,然后使用23种设计模式中的模板模式继承基类,实现其中一个方法。也就是原来被celery 的@app.task装饰的东西,现在改为了继承和重写基类方法。
5、如果需要使用celery的进程工作模式,可以在import之后加一行ThreadPoolExcutor = ProcessPoolExecutor,就能很容易换成进程模式了。
如果需要使用celery的gevent工作模式,可以import gevent ,然后monkey.patch_all()
# -*- coding: utf-8 -*- # @Author : ydf """ 用来取代celery框架的, 改为使用自定义架构 """ import typing import abc import threading from multiprocessing import Process import json import time from app.utils_ydf import BoundedThreadPoolExecutor, RedisMixin, decorators, LoggerMixin, LogManager from app.apis.list_page_live_price.live_price_celery_app import live_price_deco, bulk_price_live_deco from app.constant import icon_list from app.apis.cnbooking.cnbooking_core import CnbookingHotelPriceQuerier, CnbookingHotelPriceQuerierInternational from app.apis.daolv.hotel_detail import query_hoteldetail_price # from app.apis.elong.elong_detail_priceinfo2 import detail_priceinfo from app.apis.elongin.elong_in_detail import elong from app.apis.haoqiao.core import search2 from app.apis.jltour.jl_price import get_jl_tour_price from app.apis.qunar.core import getPrice_in, getPrice from app.apis.yingli.core import get_detial # from app.apis.expedia.expedia_hotel_price import get_expedia_price from app.apis.ctrip.ctriphotelm import ctripPriceIn, ctripPrice # 导入批量获取比价的函数 from app.apis.elong.elong_cn_bulk_request import elong_cn_bulk_request_price from app.apis.jltour.jl_bulk_price_querier import JltourBulkPriceQuerier from app.apis.daolv.daolv_bulk_price_querier import DaolvBulkPriceQuerier QUENEN_NAME_ELONG = 'compare.quenen.elong' QUENEN_NAME_QUNAR = 'compare.quenen.qunar' QUENEN_NAME_DAOLV = 'compare.quenen.daolv' QUENEN_NAME_HAOQIAO = 'compare.quenen.haoqiao' QUENEN_NAME_CNBOOKING = 'compare.quenen.cnbooking' QUENEN_NAME_PROFIT = 'compare.quenen.profit' QUENEN_NAME_JLTOUR = 'compare.quenen.jltour' QUENEN_NAME_CTRIP = 'compare.quenen.ctrip' QUENEN_NAME_ELONG_CN = 'compare.quenen.elong_cn' TASK_EXPIRE_TIME = 15 # 任务过期时间,消费时候比提交任务时候晚了15秒则不执行这个任务 TASK_TIMEOUT = 20 # 任务(函数)运行超时,自动杀死的时间配置 logger_redis = LogManager('logger_redis').get_logger_and_add_handlers(5, is_add_stream_handler=False, log_filename='logger_redis.log') class BaseExecuor(RedisMixin, LoggerMixin): """ 单个酒店查询的基类 """ def __init__(self, redis_list_key_name, thread_pool_nums, every_request_interval_time, platfrom_name): """ :param redis_list_key_name: 每个平台的redis任务键 :param thread_pool_nums: 线程池最大数量 :param every_request_interval_time: 每隔多少秒方任务到线程池,用于限制频率 :param platfrom_name: 平台名字 """ self._redis_list_key_name = redis_list_key_name self._thread_pool_nums = thread_pool_nums self._every_request_interval_time = every_request_interval_time self._platfrom_name = platfrom_name self._pool = BoundedThreadPoolExecutor(self._thread_pool_nums) self._t0 = time.time() self._count_per_second = 0 self._lock = threading.Lock() self.logger_with_file.debug(f'监听的队列是 {self._redis_list_key_name}') def _shedul_a_task(self, redis_task: str): hotel_map_item, arrival_date, departure_date, adults, children_str, timestamp = redis_task.split('@@') hotel_map_item = json.loads(hotel_map_item) adults = int(adults) children_str = '' if children_str in (0, '0') else children_str # 空的会出现4个@符号在一起,split出错 if time.time() - float(timestamp) < TASK_EXPIRE_TIME: self.logger_with_file.debug(f'未过期,执行这个任务 {redis_task} ') time.sleep(self._every_request_interval_time) lowest_price_key = 'lowestprice_' + hotel_map_item['_id'] + '_' + arrival_date + '_' + departure_date + '_' + str(adults) + '_' + str(children_str) if not self.redis_db_hotel.exists(lowest_price_key): # TODO 如果此马踏飞燕id不存在最低价则请求 self._pool.submit(self.execute_specific_task, hotel_map_item, arrival_date, departure_date, adults, children_str) else: self.logger_with_file.warning(f'此马踏飞燕酒店 {hotel_map_item["_id"]} 已经有最低价了,此次不请求 {self._platfrom_name} 这个平台') else: self.logger_with_file.warning(f'时间超过 {TASK_EXPIRE_TIME},放弃这个任务 {redis_task}') def start(self): while True: try: time_redis_0 = time.time() redis_task_bytes = self.redis_db_hotel.rpop(self._redis_list_key_name) # 得到一个键hotel_map_item,arrival_date, departure_date, adults, children_str,timestamp if redis_task_bytes: redis_task = redis_task_bytes.decode('utf8') self.logger_with_file.debug(f'从 {self._redis_list_key_name} 键取出的内容是--> {redis_task} redis取出耗时 {time.time() - time_redis_0}') self._shedul_a_task(redis_task) else: if time.time() - self._t0 > 5: # 为了不频繁写这个日志主要是 self._t0 = time.time() self.logger.debug(f'平台 {self._platfrom_name} {self._redis_list_key_name} 队列中没有任务, redis耗时 {time.time() - time_redis_0}') time.sleep(self._every_request_interval_time) except Exception as e: self.logger_with_file.exception(e) time.sleep(self._every_request_interval_time) @abc.abstractmethod def execute_specific_task(self, hotel_map_item_or_list: typing.Union[dict, list], arrival_date__, departure_date__, adults__, children_str__): raise NotImplemented class BaseBulkExcutor(BaseExecuor): """批量查询的基类""" def execute_specific_task(self, hotel_map_item_or_list: typing.Union[dict, list], arrival_date__, departure_date__, adults__, children_str__): pass def _shedul_a_task(self, redis_task: str): redis_task = json.loads(redis_task) hotel_map_item_list = redis_task['id_list'] arrival_date, departure_date, adults, children_str, timestamp = redis_task['arrival_date'], redis_task['departure_date'], redis_task['adults'], redis_task['children_str'], redis_task['timestamp'] adults = int(adults) children_str = '' if children_str in (0, '0') else children_str # 空的会出现4个@符号在一起,split出错,用了0代替空字符串 if time.time() - float(timestamp) < TASK_EXPIRE_TIME: self.logger_with_file.debug(f'未过期,执行这个任务 {redis_task} ') time.sleep(self._every_request_interval_time) self._pool.submit(self.execute_specific_task, hotel_map_item_list, arrival_date, departure_date, adults, children_str) else: self.logger_with_file.warning(f'时间超过 {TASK_EXPIRE_TIME},放弃这个任务 {redis_task}') class QunarExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('qunar', icon_list.ICON_QUNAR) def qunar_live(hotel_map_item, arrival_date, departure_date, adults, children_str): if not hotel_map_item['_id'].startswith('IN'): return getPrice(hotel_map_item['qunar_id'], arrival_date, departure_date) else: if children_str: qunar_children_age = children_str.replace(",", "|") qunar_children = len(children_str.split(",")) else: qunar_children_age = '' qunar_children = 0 return getPrice_in(hotel_map_item['qunar_id'], arrival_date, departure_date, adults, qunar_children, qunar_children_age) qunar_live(*args, **kwargs) class CnbookingExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('cnbooking', icon_list.ICON_LONGTENG) def cnbooking_live(hotel_map_item, arrival_date, departure_date, adults, children_str): if not hotel_map_item['_id'].startswith('IN'): return CnbookingHotelPriceQuerier(hotel_map_item['cnbooking_id'], arrival_date, departure_date, adults, children_str).get_result() else: return CnbookingHotelPriceQuerierInternational(hotel_map_item['cnbooking_id'], arrival_date, departure_date, adults, children_str).get_result() cnbooking_live(*args, **kwargs) class ElongExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('elong', icon_list.ICON_MASHANGZHU) def elong_live(hotel_map_item, arrival_date, departure_date, adults, children_str): if not hotel_map_item['_id'].startswith('IN'): pass # return detail_priceinfo(arrival_date, departure_date, hotel_map_item['elong_id']) else: return elong(arrival_date, departure_date, hotel_map_item['elong_id'], adults, children_str) elong_live(*args, **kwargs) class DaolvExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('daolv', icon_list.ICON_DAOLV) def daolv_live(hotel_map_item, arrival_date, departure_date, adults, children_str): """不需要区分国内外""" return query_hoteldetail_price(hotel_map_item['daolv_id'], arrival_date, departure_date, adults, children_str) daolv_live(*args, **kwargs) class JltourExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): # noinspection PyUnusedLocal @decorators.timeout(TASK_TIMEOUT) @live_price_deco('jltour', icon_list.ICON_JLTOUR) def jltour_live(hotel_map_item, arrival_date, departure_date, adults, children_str): """不需要区分国内外""" return get_jl_tour_price(hotel_map_item['jltour_id'], arrival_date, departure_date, adults) jltour_live(*args, **kwargs) class HaoqiaoExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('haoqiao', icon_list.ICON_HQ) def haoqiao_live(hotel_map_item, arrival_date, departure_date, adults, children_str): """不需要区分国内外""" haoqiao = hotel_map_item['haoqiao_id'] hotel_id = haoqiao['hotel_id'] city_id = haoqiao['city_id'] return search2(hotel_id, city_id, arrival_date, departure_date, children_str, adults) haoqiao_live(*args, **kwargs) class YingliExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): # noinspection PyUnusedLocal,PyUnusedLocal @decorators.timeout(TASK_TIMEOUT) @live_price_deco('yingli', icon_list.ICON_JUYOUHUI) def yingli_live(hotel_map_item, arrival_date, departure_date, adults, children_str): """不需要区分国内外""" return get_detial(hotel_map_item['yingli_id'], arrival_date, departure_date) yingli_live(*args, **kwargs) class CtripExecutor(BaseExecuor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @live_price_deco('ctrip', icon_list.ICON_CTRIP) def ctrip_live(hotel_map_item, arrival_date, departure_date, adults, children_str): if hotel_map_item['_id'].startswith('IN'): return ctripPriceIn(hotel_map_item['ctrip_id'], arrival_date, departure_date, adults, children_str) else: return ctripPrice(hotel_map_item['ctrip_id'], arrival_date, departure_date) ctrip_live(*args, **kwargs) # ###########################################################批量查询###################################################################################### class JltourBulkExecutor(BaseBulkExcutor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @bulk_price_live_deco(platform_name='jltour', platform_icon=icon_list.ICON_JLTOUR, platform_hotel_id_key='jltour_id') def jltour_bulk_request_price_live(hotel_map_item_list, arrival_date, departure_date, adults, children_str): hotel_id_list = [hotel_map_item['jltour_id'] for hotel_map_item in hotel_map_item_list] return JltourBulkPriceQuerier(hotel_id_list, arrival_date, departure_date, adults, children_str).get_result_list() jltour_bulk_request_price_live(*args, **kwargs) class ElongBulkExecutor(BaseBulkExcutor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @bulk_price_live_deco(platform_name='elong', platform_icon=icon_list.ICON_MASHANGZHU, platform_hotel_id_key='elong_id') def elong_cn_bulk_request_price_live(hotel_map_item_list, arrival_date, departure_date, adults, children_str): hotel_id_list = [hotel_map_item['elong_id'] for hotel_map_item in hotel_map_item_list] price_result_list = elong_cn_bulk_request_price(hotel_id_list, arrival_date, departure_date, adults, children_str) return price_result_list elong_cn_bulk_request_price_live(*args, **kwargs) class DaolvBulkExecutor(JltourBulkExecutor): def execute_specific_task(self, *args, **kwargs): @decorators.timeout(TASK_TIMEOUT) @bulk_price_live_deco(platform_name='daolv', platform_icon=icon_list.ICON_DAOLV, platform_hotel_id_key='daolv_id') def daolv_bulk_request_price_live(hotel_map_item_list, arrival_date, departure_date, adults, children_str): hotel_id_list = [hotel_map_item['daolv_id'] for hotel_map_item in hotel_map_item_list] querier = DaolvBulkPriceQuerier(hotel_id_list, arrival_date, departure_date, adults, children_str) querier.set_is_real_time(is_real_time=False) return querier.get_result_list() daolv_bulk_request_price_live(*args, **kwargs) def start_executor(**kwargs): platfrom_name = kwargs['platfrom_name'] if platfrom_name == '去哪': executor_class = QunarExecutor elif platfrom_name == '龙腾': executor_class = CnbookingExecutor elif platfrom_name == '艺龙国际': executor_class = ElongExecutor elif platfrom_name == '道旅': executor_class = DaolvBulkExecutor elif platfrom_name == '捷旅': executor_class = JltourBulkExecutor elif platfrom_name == '好巧': executor_class = HaoqiaoExecutor elif platfrom_name == '盈利': executor_class = YingliExecutor elif platfrom_name == '携程': executor_class = CtripExecutor CtripExecutor(**kwargs).start() elif platfrom_name == '艺龙国内': executor_class = ElongBulkExecutor else: raise ValueError('平台名字设置不正确') executor_class(**kwargs).start() if __name__ == '__main__': Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_QUNAR, 'thread_pool_nums': 300, 'every_request_interval_time': 0.02, 'platfrom_name': '去哪'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_CNBOOKING, 'thread_pool_nums': 300, 'every_request_interval_time': 0.02, 'platfrom_name': '龙腾'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_ELONG, 'thread_pool_nums': 300, 'every_request_interval_time': 0.15, 'platfrom_name': '艺龙国际'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_DAOLV, 'thread_pool_nums': 300, 'every_request_interval_time': 0.02, 'platfrom_name': '道旅'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_JLTOUR, 'thread_pool_nums': 300, 'every_request_interval_time': 0.1, 'platfrom_name': '捷旅'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_HAOQIAO, 'thread_pool_nums': 100, 'every_request_interval_time': 0.5, 'platfrom_name': '好巧'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_PROFIT, 'thread_pool_nums': 300, 'every_request_interval_time': 0.01, 'platfrom_name': '盈利'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_CTRIP, 'thread_pool_nums': 500, 'every_request_interval_time': 0.01, 'platfrom_name': '携程'}).start() Process(target=start_executor, kwargs={'redis_list_key_name': QUENEN_NAME_ELONG_CN, 'thread_pool_nums': 200, 'every_request_interval_time': 0.15, 'platfrom_name': '艺龙国内'}).start()
反对极端面向过程编程思维方式,喜欢面向对象和设计模式的解读,喜欢对比极端面向过程编程和oop编程消耗代码代码行数的区别和原因。致力于使用oop和36种设计模式写出最高可复用的框架级代码和使用最少的代码行数完成任务,致力于使用oop和设计模式来使部分代码减少90%行,使绝大部分py文件最低减少50%-80%行的写法。