APScheduler定时器使用：django中使用apscheduler，使用mysql做存储后端

本文主要是介绍APScheduler定时器使用：django中使用apscheduler，使用mysql做存储后端，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

一、基本环境

python版本：3.8.5

APScheduler==3.10.4
Django==3.2.7
djangorestframework==3.15.1
SQLAlchemy==2.0.29
PyMySQL==1.1.0

二、django基本设置

2.1、新增一个app

该app用来写apscheduler相关的代码

python manage.py startapp gs_scheduler

2.2、修改配置文件settings.py

#使用pymysql做客户端
import pymysql
pymysql.install_as_MySQLdb()INSTALLED_APPS = ['rest_framework', #注册restful 应用'gs_scheduler', #注册新增的app
]#配置mysql
MYSQL_HOST = '127.0.0.1'
MYSQL_PORT = 3306
MYSQL_USER = 'root'
MYSQL_PASSWORD = 'admin-root'
MYSQL_NAME = 'study_websocket'DATABASES = {'default': {'ENGINE': 'django.db.backends.mysql','HOST': MYSQL_HOST,'PORT': MYSQL_PORT,'USER': MYSQL_USER,'PASSWORD': MYSQL_PASSWORD,'NAME': MYSQL_NAME,}
}

2.3、gs_scheduler创建urls.py

1、gs_scheduler/urls.py

from django.urls import path
from . import views
urlpatterns = []

2、根路由urls.py

from django.contrib import admin
from django.urls import path,includeurlpatterns = [path('admin/', admin.site.urls),path('api/scheduler/',include('gs_scheduler.urls')),
]

三、配置gs_scheduler应用

3.1、配置api接口

这些接口，用来展示定时任务的运行情况

1、urls.py

from django.urls import path
from . import views
urlpatterns = [path('run_next/', views.JobNextRunTimeAPIView.as_view()),#定时任务下次运行path('run_history/',views.JobRunTimeHistory.as_view()),#定时任务运行历史path('run_error/',views.JobRunErrorHistory.as_view()), #定时任务最近运行错误
]

2、models.py

from django.db import models# Create your models here.
import sqlite3
from gs_scheduler.management.commands.config import MYSQL_HOST,MYSQL_NAME,MYSQL_PORT,MYSQL_PASSWORD,MYSQL_USER,MYSQL_CHARSET
from datetime import datetime,timedelta
from django.conf import settingsimport pymysql
from concurrent.futures import ThreadPoolExecutor#时间戳转时间字符串
def timestamp_to_time_str(timestamp):# 使用 datetime 模块将时间戳转换为 datetime 对象dt = datetime.fromtimestamp(timestamp)# 将 datetime 对象格式化为时间字符串time_str = dt.strftime('%Y-%m-%d %H:%M:%S')return time_strclass MysqlDB:DATETIME_FORMAT = '%Y-%m-%d %H:%M:%S'# 创建数据库连接池def __init__(self):self.conn = pymysql.connect(host=MYSQL_HOST,port=MYSQL_PORT,user=MYSQL_USER,password=MYSQL_PASSWORD,db=MYSQL_NAME,charset=MYSQL_CHARSET,cursorclass=pymysql.cursors.DictCursor)# 执行数据库增删改查def _execute_sql(self,query):sql,args = querytry:with self.conn.cursor() as cursor:# 执行sql语句if args:if isinstance(args,(tuple,list)):# args = (value1,value2)cursor.execute(sql,args)else:# args = value1cursor.execute(sql,(args,))else:cursor.execute(sql)# 不同类型sql，设置不同返回值if sql.strip().lower()[:6] == 'select':#查询语句rows = cursor.fetchall() or []return rowselif sql.strip().lower()[:4] == 'show':#查看表是否存在result = cursor.fetchall()return resultelse:#增删改语句self.conn.commit()return Trueexcept Exception as e:print('sql执行失败',e)pass# 线程池执行sql语句def start_sql_with_pool(self, sql:str,args=None):with ThreadPoolExecutor() as executor:result = executor.submit(self._execute_sql, (sql,args)).result()return result#创建记录定时任务历史表(调度器使用)def create_apscheduler_history(self):#创建表语句：表名不能是占位符sql = """CREATE TABLE apscheduler_history (id INTEGER AUTO_INCREMENT PRIMARY KEY,job_id VARCHAR(128),run_time DATETIME,is_error TINYINT,error_msg VARCHAR(256) NULL)"""#判断表存在不，不存在再创建results = self.start_sql_with_pool('SHOW TABLES')is_exist = Falsefor dic in results:if dic['Tables_in_{}'.format(MYSQL_NAME,)] == 'apscheduler_history':is_exist = True#表不存在才创建if not is_exist:# print('表不存在，执行创建表')create = self.start_sql_with_pool(sql)# 创建索引self.start_sql_with_pool(db.conn.cursor().execute("CREATE INDEX run_time_index ON apscheduler_history (run_time)"))return True# 将任务运行的结果记录到数据库中（调度器使用）def insert_into_apscheduler_history(self, data_list: list):if len(data_list) == 4:  # 异常执行的任务sql = """INSERT INTO apscheduler_history (job_id,run_time,is_error,error_msg) VALUES (%s,%s,%s,%s)"""else:  # 正常执行的任务sql = """INSERT INTO apscheduler_history (job_id,run_time,is_error) VALUES (%s,%s,%s)"""#使用线程池执行插入语句self.start_sql_with_pool(sql,data_list)# 删除8小时前的历史记录（调度器使用）def delete_8hour_before_history(self):before_8hour = (datetime.now() - timedelta(hours=8)).strftime('%Y-%m-%d %H:%M:%S')sql = '''DELETE FROM apscheduler_history WHERE run_time < %s'''self.start_sql_with_pool(sql,(before_8hour,))# 查询每个任务的下次运行时间（api展示）def fetch_all_next_run_time(self):sql = 'SELECT id,next_run_time FROM apscheduler_jobs'# 获取查询结果rows = self.start_sql_with_pool(sql)for row in rows:row['next_run_time'] = timestamp_to_time_str(row['next_run_time'])return rows# 查询所有任务最近10次运行记录（api展示）def fetch_all_run_history(self):''':param query:'SELECT id,next_run_time,job_state FROM apscheduler_jobs':return:'''#获取所有定时任务iddata_list = self.fetch_all_next_run_time()id_list = (dic.get('id') for dic in data_list)# 创建一个游标对象sql = """SELECT id,job_id,run_time FROM apscheduler_history WHERE is_error=0 AND job_id = %s ORDER BY run_time DESC LIMIT 10"""ret_list = []for id in id_list:# 执行查询rows = self.start_sql_with_pool(sql,(id,)) or []dic = {'id': id, 'last_run_time': [], 'msg': '最近10次运行时间'}for row in rows:run_time = row.get('run_time')run_time = run_time.strftime(self.DATETIME_FORMAT) if isinstance(run_time,datetime) else run_timedic['last_run_time'].append(run_time)ret_list.append(dic)return ret_list# 获取任务最近运行失败情况(api展示)def fetch_all_error_history(self):data_list = self.fetch_all_next_run_time()id_list = (dic.get('id') for dic in data_list)sql = """SELECT run_time,error_msg FROM apscheduler_history WHERE is_error=1 AND job_id = %s ORDER BY id DESC LIMIT 5"""ret_list = []for id in id_list:# 获取查询结果rows = self.start_sql_with_pool(sql, (id,)) or []dic = {'id': id, 'last_run_time': [], 'msg': '最近5次执行失败'}for row in rows:run_time = row.get('run_time')run_time = run_time.strftime(self.DATETIME_FORMAT) if isinstance(run_time,datetime) else run_timeerror = row.get('error_msg')dic['last_run_time'].append({'run_time': run_time, 'error': error})ret_list.append(dic)return ret_list# 关闭连接def close(self):self.conn.close()if __name__ == '__main__':db = MysqlDB()db.create_apscheduler_history()# for i in range(1,10):#     db.insert_into_apscheduler_history(['send_to_big_data','2024-05-01 13:{}:12'.format(str(i).zfill(2)),1,'执行失败了'])# db.delete_8hour_before_history()# ret = db.fetch_all_run_history()# print(ret,'history')# ret = db.fetch_all_next_run_time()# print(ret,'next')# ret = db.fetch_all_error_history()# print(ret,'error')db.close()

3、views.py

from django.shortcuts import render# Create your views here.
from rest_framework.views import APIView
from rest_framework.response import Response
from .models import MysqlDB#任务下次运行时间
class JobNextRunTimeAPIView(APIView):authentication_classes = []def get(self,request):db = MysqlDB()data = db.fetch_all_next_run_time()db.close()ret = {'code':200,'status':'success','data':data,}return Response(ret)#任务最近运行历史
class JobRunTimeHistory(APIView):authentication_classes = []def get(self,request):db = MysqlDB()data = db.fetch_all_run_history()db.close()ret = {'code':200,'status':'success','data':data}return Response(ret)#任务最近运行错误
class JobRunErrorHistory(APIView):authentication_classes = []def get(self,request):db = MysqlDB()data = db.fetch_all_error_history()db.close()ret = {'code': 200,'status': 'success','data': data}return Response(ret)

3.2、在gs_scheduler创建

1、config.py 代码

该文件存放的是启动APScheduler调度器的一些配置数据

import os
from apscheduler.jobstores.memory import MemoryJobStore #内存做后端存储
#from apscheduler.jobstores.redis import RedisJobStore #redis做后端存储
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore #mysql等做后端存储
# from django.conf import settings
from study_apscheduler import settings
#mysql://root:ldc-root@127.0.0.1:3306/jobs?charset=utf8
MYSQL_CONFIG = settings.DATABASES.get('default')
MYSQL_USER = MYSQL_CONFIG.get('USER')
MYSQL_PASSWORD = MYSQL_CONFIG.get('PASSWORD')
MYSQL_HOST = MYSQL_CONFIG.get('HOST')
MYSQL_PORT = MYSQL_CONFIG.get('PORT')
MYSQL_NAME = MYSQL_CONFIG.get('NAME')
MYSQL_CHARSET = 'utf8mb4'
URL = 'mysql://{}:{}@{}:{}/{}?charset={}'.format(MYSQL_USER,MYSQL_PASSWORD,MYSQL_HOST,MYSQL_PORT,MYSQL_NAME,MYSQL_CHARSET)
#时区
TIME_ZONE = 'Asia/Shanghai'
#job的默认配置
JOB_DEFAULTS =  {'coalesce': True, #系统挂掉，任务积攒多次为执行，True是合并成一次执行，False是执行所有的次数。 持久化存储才有效'max_instances': 3 # 同一个任务同一时间最多只能有3个实例在运行。}
#job的存储后端
JOB_STORE = {'default': SQLAlchemyJobStore(url=URL)
}#监听事件对应的情况
LISTENER={1:'调度程序启动',2:'调度程序关闭',4:'调度程序中任务处理暂停',64:'将任务存储添加到调度程序中',8192:'任务在执行期间引发异常',4096:'任务执行成功',
}

2、task.py

所有的定时任务都存放在这里

import os
from datetime import datetime, timedelta, date
from gs_scheduler.models import MysqlDB
from utils.log_util import info_log
from utils.send_monitor_data import SendData#推送到数据仓的告警信息：5分钟执行一次
send_to_big_data = SendData().send#清除定时任务历史运行记录
def delete_apscheduler_history():db = MysqlDB()db.delete_8hour_before_history()if __name__ == '__main__':print(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))

3、crontab.py

实例化调度器

# 导入所需的调度器类和触发器类
from apscheduler.schedulers.background import BackgroundScheduler #后台运行
from apscheduler.schedulers.blocking import BlockingScheduler  #主进程运行，需要单独运行
from apscheduler.triggers.interval import IntervalTrigger #时间间隔
from apscheduler.triggers.cron import CronTrigger #复杂的定时任务
from apscheduler.triggers.date import DateTrigger #一次性定时任务
from django.core.management.base import BaseCommand
from apscheduler import events
from pytz import timezone
from threading import RLock
from datetime import datetime, timedelta
from gs_scheduler.models import MysqlDB
#定时任务
from .task import delete_apscheduler_history
from .task import send_to_big_data
#日志
from utils.log_util import info_log
from .config import LISTENER
from .config import TIME_ZONE,JOB_DEFAULTS,JOB_STORE#脚本运行：python manage.py crontab
class Command(BaseCommand):TIME_FORMAT = '%Y-%m-%d %H:%M:%S'#初始化调度器def _scheduler_obj(self):scheduler = BlockingScheduler()scheduler.configure(timezone = TIME_ZONE, #时区job_defaults=JOB_DEFAULTS, #job的默认配置jobstores=JOB_STORE, #job的存储后端)return scheduler#添加任务def _add_job(self,scheduler:BlockingScheduler):#每5分钟执行一次推送告警到大数据仓scheduler.add_job(send_to_big_data,trigger=IntervalTrigger(minutes=1),id='send_to_big_data',replace_existing=True,coalesce=True,)#每隔8个小时，清除历史的记录scheduler.add_job(delete_apscheduler_history,trigger=IntervalTrigger(hours=8),id='delete_apscheduler_history',replace_existing=True,coalesce=True,)#添加监听器def _listener(self,event:events):code = event.coderun_time = datetime.now().strftime(self.TIME_FORMAT)msg = LISTENER.get(code)db = MysqlDB()if msg:if code == 4096:#成功运行job_id = event.job_id#记录到数据库中db.insert_into_apscheduler_history([job_id,run_time,0])elif code == 8192:#运行异常了job_id = event.job_id#记录到数据库中db.insert_into_apscheduler_history([job_id,run_time,1,msg])else:info_log(msg)db.close()def start(self):scheduler = self._scheduler_obj()# 创建记录运行记录db = MysqlDB()db.create_apscheduler_history()db.close()# 设置监听器scheduler.add_listener(self._listener)# 设置定时任务self._add_job(scheduler)try:# print('{},定时器启动成功,等待定时任务执行...'.format(datetime.now().strftime(self.TIME_FORMAT)))scheduler.start()except KeyboardInterrupt:scheduler.shutdown()# python manage.py crontab运行 就是调用该方法def handle(self, *args, **options):self.start()#伴随django，在后台运行的。 在wsgi.py 文件中，调用BackRunScheduler().start()
class BackRunScheduler(Command):# 初始化调度器def _scheduler_obj(self):scheduler = BackgroundScheduler()scheduler.configure(timezone=TIME_ZONE,  # 时区job_defaults=JOB_DEFAULTS,  # job的默认配置jobstores=JOB_STORE,  # job的存储后端)return scheduler