Flask 学习-87.Flask-APScheduler 持久化定时任务保存到mysql数据库

# mysql 数据库持久化配置
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
SQLALCHEMY_DATABASE_URI = "mysql+mysqlconnector://root:123456@127.0.0.1:3306/web"
    # 存储位置
    SCHEDULER_JOBSTORES = {
        'default': SQLAlchemyJobStore(url=SQLALCHEMY_DATABASE_URI)
    }

# MongoDB 数据库持久化配置
from apscheduler.jobstores.mongodb import MongoDBJobStore
SCHEDULER_JOBSTORES = {
        'default': MongoDBJobStore(host='mongoserver', port=27017)
    }

from apscheduler.jobstores.redis import RedisJobStore
REDIS = {
        'host': '127.0.0.1',
        'port': '6379',
        'db': 0,
        'password': '****'
    }
SCHEDULER_JOBSTORES = {
        'default': RedisJobStore(**REDIS)
    }

from flask import Flask
from flask_apscheduler import APScheduler
import time
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore

class Config(object):
    SCHEDULER_TIMEZONE = 'Asia/Shanghai'  # 配置时区
    SCHEDULER_API_ENABLED = True  # 调度器开关
    # 配置mysql
    SQLALCHEMY_DATABASE_URI = 'mysql+mysqlconnector://root:123456@127.0.0.1:3306/web'
    # job存储位置
    SCHEDULER_JOBSTORES = {
        'default': SQLAlchemyJobStore(url=SQLALCHEMY_DATABASE_URI)
    }
    # 线程池配置
    SCHEDULER_EXECUTORS = {
        'default': {'type': 'threadpool', 'max_workers': 10}
    }

scheduler = APScheduler()

def task1(x):
    print(f'task 1 executed --------: {x}', time.time())

def task2(x):
    print(f'task 2 executed --------: {x}', time.time())

if __name__ == '__main__':
    app = Flask(__name__)
    app.config.from_object(Config())
    scheduler.init_app(app)
    # add_job() 添加任务
    scheduler.add_job(func=task1, args=('循环',), trigger='interval', seconds=5, replace_existing=True, id='interval_task')
    scheduler.add_job(func=task2, args=('定时任务',), trigger='cron', second='*/10', replace_existing=True, id='cron_task')
    scheduler.start()
    app.run(use_reloader=False)

scheduler.pause_job(task_id)

scheduler.resume_job(task_id)

scheduler.remove_job(task_id)

all_jobs = scheduler.get_jobs()
# 查看指定的job信息
job_info = scheduler.get_job(task_id)