一、环境配置

python==3.8.10

包：

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

项目目录情况

gs_scheduler 应用

        commands ： 主要用来自定义命令，python manage.py crontab  

        schedulers：所有apscheduler定时器的东西都在里面

        logs：存放定时器任务的日志信息

        views.py和urls.py：对外开放的接口，获取定时任务的基本信息和运行情况

二、django基本配置

根settings.py

#pymysql使用数据库
import pymysql
# pymysql.version_info = (1, 4, 0, "final", 0)  # 确保版本信息被正确设置
pymysql.install_as_MySQLdb()

INSTALLED_APPS = [
    'rest_framework',#restful
    'gs_scheduler', #注册创建的应用
]


#设置数据库
MYSQL_HOST = '127.0.0.1'
MYSQL_PORT = 3306
MYSQL_USER = 'root'
MYSQL_PASSWORD = 'ldc-root'
MYSQL_NAME = 'study_scheduler'

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql',
        'HOST': MYSQL_HOST,
        'PORT': MYSQL_PORT,
        'USER': MYSQL_USER,
        'PASSWORD': MYSQL_PASSWORD,
        'NAME': MYSQL_NAME,
    }
}

根urls.py

注册路由

from django.contrib import admin
from django.urls import path,include

urlpatterns = [
    path('admin/', admin.site.urls),
    path('api/scheduler/',include('gs_scheduler.urls')),
]

三、配置apscheduler

3.1、schedulers/base.py

主要重写了SQLAlchemyJobStore类，添加上一些其他的字段和数据库表。

from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore as _SQLAlchemyJobStore
from apscheduler.jobstores.base import JobLookupError, ConflictingIdError
from apscheduler.util import maybe_ref, datetime_to_utc_timestamp
from datetime import datetime
try:
    import cPickle as pickle
except ImportError:  # pragma: nocover
    import pickle

try:
    from sqlalchemy import (
        create_engine, Table, Column, MetaData,delete, Unicode, Float, LargeBinary,String, BigInteger,DATETIME,select,Boolean,text, and_)
    from sqlalchemy.exc import IntegrityError
    from sqlalchemy.sql.expression import null
except ImportError:  # pragma: nocover
    raise ImportError('SQLAlchemyJobStore requires SQLAlchemy installed')

Datetime_Format = '%Y-%m-%d %H:%M:%S'

#重写SQLAlchemyJobStore,用于自定义数据库表
class SQLAlchemyJobStore(_SQLAlchemyJobStore):

    Jobs_Tablename = 'apscheduler_jobs'#记录定时任务基本信息
    Jobs_History_Tablename = 'apscheduler_history'#记录定时任务运行历史

    def __init__(self, url=None, engine=None, tablename='apscheduler_jobs', metadata=None,
                 pickle_protocol=pickle.HIGHEST_PROTOCOL, tableschema=None, engine_options=None):
        #执行当前父类的父类的初始化方法
        super(_SQLAlchemyJobStore, self).__init__()
        self.pickle_protocol = pickle_protocol
        metadata = maybe_ref(metadata) or MetaData()
        if engine:
            self.engine = maybe_ref(engine)
        elif url:
            self.engine = create_engine(url, **(engine_options or {}))
        else:
            raise ValueError('Need either "engine" or "url" defined')

        # 191 = max key length in MySQL for InnoDB/utf8mb4 tables,
        # 25 = precision that translates to an 8-byte float
        self.jobs_t = Table(
                self.Jobs_Tablename, metadata,
                Column('id', Unicode(191), primary_key=True),
                Column('next_run_time', Float(25), index=True),
                Column('job_state', LargeBinary, nullable=False),
                Column('trigger',String(256),nullable=True),#新增，记录定时器的定时规则
                Column('desc',String(256),nullable=True),#新增，记录定时任务的描述信息
                schema=tableschema
            )
        #新增的一张表，记录定时任务运行历史
        self.jobs_t_history = Table(
                self.Jobs_History_Tablename,metadata,
                Column('id',BigInteger(),primary_key=True),
                Column('job_id',Unicode(191)),
                Column('run_time',DATETIME(),index=True,nullable=False),
                Column('is_error',Boolean(),default=0),
                Column('error_msg',String(256),nullable=True),
                schema=tableschema
            )
    #重写：对新表的创建
    def start(self, scheduler, alias):
        super(SQLAlchemyJobStore, self).start(scheduler, alias)
        #创建表
        self.jobs_t.create(self.engine, True)
        self.jobs_t_history.create(self.engine,True)
    #重写：对新字段的操作
    def add_job(self, job):
        #获取当前任务的定时器规则，描述信息
        trigger,desc = self.get_job_rule_and_desc(job)
        insert = self.jobs_t.insert().values(**{
            'id': job.id,
            'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
            'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol),
            'trigger':trigger,
            'desc':desc

        })
        with self.engine.begin() as connection:
            try:
                connection.execute(insert)
            except IntegrityError:
                raise ConflictingIdError(job.id)
    #重写：对新字段的操作
    def update_job(self, job):
        trigger,desc = self.get_job_rule_and_desc(job)
        update = self.jobs_t.update().values(**{
            'next_run_time': datetime_to_utc_timestamp(job.next_run_time),
            'job_state': pickle.dumps(job.__getstate__(), self.pickle_protocol),
            'trigger':trigger,
            'desc':desc
        }).where(self.jobs_t.c.id == job.id)
        with self.engine.begin() as connection:
            result = connection.execute(update)
            if result.rowcount == 0:
                raise JobLookupError(job.id)

    # 新增方法：提取job的定时器信息和job的描述信息
    def get_job_rule_and_desc(self, job):
        the_type, rules = str(job.trigger).split('[')
        rule = rules.split(']')[0]
        trigger = '每隔'  # 定时任务的定时规则
        if the_type == 'date':
            # rule = '2024-10-10 20:20:12 csl'
            trigger = '在{} 时间点执行一次'.format(rule.rsplit(' ', 1)[0])
        elif the_type == 'interval':
            dic = {0: '小时', 1: '分钟', 2: '秒'}
            if 'day' in rule:
                # rule = '1 ady,00:00:00'
                day, hms = rule.split(',')
                day = int(day.split('day')[0])
                trigger += '{}天'.format(day)
                hms = hms.split(':')
            else:
                # rule = '01:01:01'
                hms = rule.split(':')
            for i, value in enumerate(hms):
                value = int(value)
                if value > 0:
                    trigger += str(value)
                    trigger += dic.get(i)
            else:
                trigger += '执行一次'
        else:
            # cron,比较复杂，不好判断
            # rule ="hour='0', minute='0', second='1'"
            trigger = '{},通过linux系统cron表达式'.format(job.trigger)
        desc = job.name or ''  # 定时任务描述
        return (trigger, desc)

    #新增方法：记录定时任务的运行历史，给scheduler监听器使用
    def insert_job_history(self,data:dict):
        '''
        :param data: {'job_id':'x','run_time','is_error':1,'error_msg':'xxxx'}
        :return:
        '''
        insert = self.jobs_t_history.insert().values(**{
            'job_id': data.get('job_id'),
            'run_time': data.get('run_time'),
            'is_error': data.get('is_error'),
            'error_msg': data.get('error_msg')
        })
        with self.engine.begin() as connection:
            connection.execute(insert)

    #新增方法：api获取任务下次运行时间
    def api_get_run_next(self):
        '''
        获取每个任务的下次运行时间
        row:
            job_id = row[0],next_run=row[1],trigger=row[3],desc=row[4]
        :return:
        '''
        search = self.jobs_t.select().filter_by()
        with self.engine.begin() as connection:
            results = connection.execute(search)

        ret_data = []

        for row in results:
            dic = {
                'job_id':row[0],
                'next_run':datetime.fromtimestamp(row[1]).strftime(Datetime_Format),
                'trigger':row[3],
                'desc':row[4]
            }
            ret_data.append(dic)
        return ret_data

    #新增方法：api获取任务历史运行记录
    def api_get_run_history(self):
        '''
        获取每个任务运行成功的最近10个记录
        row :
            id=row[0],job_id=row[1],run_time=row[2],is_error=row[3],error_msg=row[4]
        :return:
        '''
        job_data_list = self.api_get_run_next()
        ret_data = []
        for dic in job_data_list:
            job_id = dic.get('job_id')
            history_data = {
                'job_id': job_id,
                'run_time': [],
            }
            search = self.jobs_t_history.select().filter_by(is_error=0,job_id=job_id).order_by(text('-id')).limit(10)
            with self.engine.begin() as connection:
                results = connection.execute(search)
            for row in results:
                run_time = datetime.strftime(row[2],Datetime_Format)
                history_data['run_time'].append(run_time)
            ret_data.append(history_data)
        return ret_data

    #新增方法：api获取任务错误记录
    def api_get_run_error(self):
        '''
        获取每个任务运行失败的最近10个记录
        row :
            id=row[0],job_id=row[1],run_time=row[2],is_error=row[3],error_msg=row[4]
        :return:
        '''
        job_data_list = self.api_get_run_next()
        ret_data = []
        for dic in job_data_list:
            job_id = dic.get('job_id')
            history_data = {
                'job_id': job_id,
                'error_run': [],
            }
            search = self.jobs_t_history.select().filter_by(is_error=1, job_id=job_id).order_by(text('-id')).limit(5)
            with self.engine.begin() as connection:
                results = connection.execute(search)
            for row in results:
                id=row[0]
                job_id=row[1]
                run_time=datetime.strftime(row[2], Datetime_Format)
                is_error=row[3]
                error_msg=row[4]
                history_data['error_run'].append({
                    'run_time':run_time,
                    'error_msg':error_msg
                })
            ret_data.append(history_data)
        return ret_data

    #新增方法：清除历史运行记录
    def delete_before_run_history(self):
        '''
        将历史运行记录中，
            每个任务只保留最近20个运行成功的记录
            每个任务只保留最近20个运行失败的记录
        :return:
        '''
        # 获取底层数据库连接
        session = self.engine.connect()
        # 获取任务表的名称
        table_name = self.Jobs_History_Tablename
        # 获取所有任务的job_id
        job_data_list = self.api_get_run_next()
        for dic in job_data_list:
            job_id = dic.get('job_id')
            search_success = self.jobs_t_history.select().filter_by(is_error=0, job_id=job_id).order_by(text('-id'))
            search_error = self.jobs_t_history.select().filter_by(is_error=1, job_id=job_id).order_by(text('-id'))
            #正常运行的待删除的id
            delete_ids_su = []
            #运行失败的待删除的id
            delete_ids_err = []
            #提交，拿到查询结果
            with self.engine.begin() as connection:
                results_su = connection.execute(search_success)
                results_err = connection.execute(search_error)

            #把成功的所有的id取出
            for row in results_su:
                delete_ids_su.append(row[0])
            #把运行失败的所有的id取出
            for row in results_err:
                delete_ids_err.append(row[0])
            #删除成功运行的记录
            if delete_ids_su:
                delete_ids_su = delete_ids_su[20:]
                # 构建 SQL 语句
                delete_query = text(f"DELETE FROM {table_name} WHERE id IN :job_ids")
                # 执行删除操作
                session.execute(delete_query, {"job_ids": delete_ids_su})
                # 提交事务
                session.commit()
            #删除失败运行的记录
            if delete_ids_err:
                delete_ids_err = delete_ids_err[20:]
                # 构建 SQL 语句
                delete_query = text(f"DELETE FROM {table_name} WHERE id IN :job_ids")
                # 执行删除操作
                session.execute(delete_query, {"job_ids": delete_ids_err})
                # 提交事务
                session.commit()
        # 关闭数据库连接
        session.close()

3.2、schedulers/logger.py

用于记录apscheduler定时器的一些日志信息。

import os
import logging
from datetime import datetime, date, timedelta
from logging.handlers import RotatingFileHandler, TimedRotatingFileHandler

# management目录路径
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# 日志文件存放的目录
LOGS_DIR = os.path.join(BASE_DIR, 'logs')

# 创建logs目录
if not os.path.exists(LOGS_DIR):
    os.makedirs(LOGS_DIR)


def getLogHandlerConsole():
    '1、日志格式'
    formatter = logging.Formatter('[%(asctime)s][%(levelname)s][ %(funcName)s function: %(lineno)s line]:%(message)s')
    '2、输出到控制台处理器'
    console_handler = logging.StreamHandler()
    console_handler.setLevel(logging.DEBUG)
    console_handler.setFormatter(formatter)
    return console_handler

def getLogHandlerFile():
    # 文件名，以日期作为文件名
    log_file_name = date.today().strftime('%Y-%m-%d.log')
    # 构建日志文件的路径
    log_file_str = os.path.join(LOGS_DIR, log_file_name)

    '1、日志记录格式'
    # 默认日志等级的设置
    # logging.basicConfig(level=logging.INFO)
    # 设置日志的格式:发生时间,日志等级,日志信息文件名,      函数名,行数,日志信息
    formatter = logging.Formatter(
        '[%(asctime)s][%(levelname)s][%(pathname)s: %(funcName)s function: %(lineno)s line]: %(message)s')

    '2、基于文件的日志处理器配置'
    # 创建日志记录器，指明日志保存路径,每个日志的大小，保存日志的上限
    file_log_handler = RotatingFileHandler(
        filename=log_file_str,  # 日志文件名
        maxBytes=1024 * 1024 * 10,  # 文件大小超过10MB后，就会生成一个新的日志文件，日志就写到新的文件中
        backupCount=10,  # 最大支持总的日志文件数
        encoding='UTF-8')
    file_log_handler.setFormatter(formatter)  # 设置日志的格式
    file_log_handler.setLevel(logging.INFO)  # 设置日志等级
    return file_log_handler  # 基于文件大小分割日志的方案



# 日志记录器1
scheduler_logger = logging.getLogger('apscheduler.scheduler')
scheduler_logger.setLevel(logging.INFO)
scheduler_logger.addHandler(getLogHandlerFile())  # 添加文件日志处理器
scheduler_logger.addHandler(getLogHandlerConsole())  # 添加控制台日志处理器


if __name__ == '__main__':
    scheduler_logger.info('hhhhh')
    print(os.path.dirname(os.path.dirname(__file__)))

3.3、schedulers/config.py

存放的是apscheduler调度器需要的配置信息。

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 .base import SQLAlchemyJobStore #mysql等做后端存储
from study_apscheduler import settings
from .logger import scheduler_logger
#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)
}

#日志处理器
Scheduler_Logger = {
    'logger':scheduler_logger
}
#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',
    8:'调度程序中任务处理恢复',
    16:'将执行器添加到调度程序中',
    32:'执行器从调度程序中删除',
    64:'将任务存储添加到调度程序中',
    128:'任务存储从调度程序中删除',
    256:'所有任务从所有任务存储中删除或从一个特定的任务存储中删除	',
    512:'添加新的定时任务',
    1024:'从任务存储中删除了任务',
    2048:'从调度程序外部修改了任务',
    4096:'任务执行成功',
    8192:'任务在执行期间引发异常',
    16384:'错误了任务执行',
    32768:'任务已经提交到执行器中执行',
    65536:'任务因为达到最大并发执行时，触发的事件'
}

3.4、schedulers/main.py

实例化好调度器，配置日志，监听器、添加定时任务、存储后端等。

# 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 apscheduler import events
from datetime import datetime
#定时任务
from .task import delete_apscheduler_history
from .task import send_to_big_data
from .task import crontab_task,date_task
#日志
from .config import LISTENER
from .config import TIME_ZONE,JOB_DEFAULTS,JOB_STORE,Scheduler_Logger #调度器配置

class TheBlockScheduler(object):
    TIME_FORMAT = '%Y-%m-%d %H:%M:%S'
    def __init__(self):
        self.scheduler = self._scheduler_obj()
        self.logger = Scheduler_Logger.get('logger')
    # 1、初始化调度器
    def _scheduler_obj(self):
        obj = BlockingScheduler()
        obj.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
            gconfig=Scheduler_Logger, #日志记录相关的的配置
        )
        return obj

    # 2、添加任务
    def _add_job(self):
        # 每5分钟执行一次推送告警到大数据仓
        self.scheduler.add_job(
            send_to_big_data,
            trigger=IntervalTrigger(minutes=1),
            id='send_to_big_data',
            replace_existing=True,
            coalesce=True,
            name='该定时，用于将数据推送到远端大数据系统'
        )

        # 每天凌晨，清除历史的记录
        self.scheduler.add_job(
            delete_apscheduler_history,
            trigger=CronTrigger(hour=0,minute=0,second=1),
            id='delete_apscheduler_history',
            replace_existing=True,
            coalesce=True,
            name='该定时器，是将历史定时任务的执行记录进行清除'
        )

        # 每隔20分钟清除垃圾记录
        self.scheduler.add_job(
            crontab_task,
            trigger=IntervalTrigger(minutes=20),  # 每天晚上零点1秒执行
            id='crontab_task',
            replace_existing=True,
            coalesce=True,
            name='该定时任务，用于清除xxx表中的垃圾记录'
        )

        #在指定某个时刻执行一次
        self.scheduler.add_job(
            date_task,
            trigger=DateTrigger(run_date='2024-12-03 10:11:30'),
            id='date_task',
            replace_existing=True,
            coalesce=True,
            name='该定时任务，在指定时间，进行系统初始化任务',
        )

    # 3、添加监听器
    def _listener(self, event: events):
        code = event.code
        run_time = datetime.now().strftime(self.TIME_FORMAT)
        msg = LISTENER.get(code)
        #存储器
        jobstore = self.scheduler._jobstores['default']
        job_history_data = {
            'job_id':None,
            'run_time':None,
            'is_error':0,
            'error_msg':None
        }

        if code == 4096:
            # 成功运行
            job_id = event.job_id
            job_history_data['job_id'] = job_id
            job_history_data['run_time'] = run_time
            # 记录到数据库中
            jobstore.insert_job_history(job_history_data)
        elif code == 8192 or code == 16384:
            # 运行异常了
            job_id = event.job_id
            job_history_data['job_id'] = job_id
            job_history_data['run_time'] = run_time
            job_history_data['is_error'] = 1
            job_history_data['error_msg'] = msg
            # 记录到数据库中
            jobstore.insert_job_history(job_history_data)
        elif code in (1,2,4,8,32,128,1024,2048):
            ###调度器启动时
            self.logger.info(msg)
            try:
                job_id = event.job_id
                if msg:
                    msg = '任务id={}，{}'.format(job_id, msg)
                    self.logger.info(msg)
            except Exception:
                if msg:
                    self.logger.info(msg)
    # 4、启动定时器
    def start(self):
        # 1、设置定时任务(监听器会先监听到任务添加，再监听到调度器启动)
        self._add_job()
        # 2、设置监听器
        self.scheduler.add_listener(self._listener)
        # 3、启动调度器
        try:
            # print('{},定时器启动成功,等待定时任务执行...'.format(datetime.now().strftime(self.TIME_FORMAT)))
            self.scheduler.start()
        except KeyboardInterrupt:
            self.scheduler.shutdown()

#后台线程运行：随django项目一起运行
class TheBackRunScheduler(TheBlockScheduler):
    def _scheduler_obj(self):
        obj = BackgroundScheduler()
        obj.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
            gconfig=Scheduler_Logger,  # 日志记录相关的的配置
        )
        return obj



if __name__ == '__main__':
    #后台启动
    backScheduler = TheBackRunScheduler()
    backScheduler.start()

3.5、schedulers/models.py

数据库查询方法，获取定时任务的状态和运行情况。

from .config import JOB_STORE
jobstore = JOB_STORE['default']
#获取定时任务下次运行时间
get_job_run_next = jobstore.api_get_run_next
#获取定时任务最近运行情况
get_job_run_history = jobstore.api_get_run_history
#获取定时任务最近运行错误
get_job_run_error = jobstore.api_get_run_error
#清除历史运行记录
delete_run_history = jobstore.delete_before_run_history

if __name__ == '__main__':
    pass

3.6、schedulers/task.py

存放定时任务。

import os
from .logger import scheduler_logger as log
from .models import delete_run_history

#推送到数据仓的告警信息：5分钟执行一次
def send_to_big_data():
    log.info('推送到大数据仓')

#清除定时任务历史运行记录
def delete_apscheduler_history():
    #清除历史运行记录
    delete_run_history()

def crontab_task():
    log.info('crontab定时器')

def date_task():
    log.info('date定时器')


if __name__ == '__main__':
    print(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))

四、自定义命令，启动定时器

4.1、commands/crontab.py

from django.core.management.base import BaseCommand
#导入block运行的代码
from gs_scheduler.management.schedulers.main import TheBlockScheduler

#自定义脚本命令：使用，python manage.py crontab 启动
class Command(BaseCommand):
    # python manage.py crontab运行 就是调用该方法
    def handle(self, *args, **options):
        scheduler = TheBlockScheduler()
        scheduler.start()

五、启动定时器

5.1、以主进程方式启动

python manage.py crontab

5.2、后台进程方式启动

1、修改settings.py

from gs_scheduler.management.schedulers.main import TheBackRunScheduler
scheduler = TheBackRunScheduler()
scheduler.start()

2、启动django项目时，后台运行定时器

六、启动django项目

python manage.py runserver 8800

七、测试

1、获取任务下次运行情况

获取每个任务，下次执行的时间和基本信息。

http://127.0.0.1:8800/api/scheduler/run_next/

2、获取任务运行历史记录

获取到每个任务的最近10次运行成功的记录。

http://127.0.0.1:8800/api/scheduler/run_history/

3、获取任务运行失败的记录

获取每个任务最近5次运行失败的记录。

http://127.0.0.1:8800/api/scheduler/run_error/

八、码云下载源码

码云地址：

django应用定时器: django下使用定时器的方法https://gitee.com/liuhaizhang/django-application-timer