BlockingScheduler()
时间: 2024-02-05 16:05:11 浏览: 7
The BlockingScheduler is a type of scheduler in Python that runs in the foreground and blocks the main thread until all the scheduled tasks are executed. It is part of the popular Python library called APScheduler, which is used for scheduling tasks in Python applications. With the BlockingScheduler, you can schedule tasks to run at specific times or intervals, and you can also specify the type of job that needs to be executed. It is called "blocking" because it blocks the main thread until all the scheduled tasks are completed, which means that the application can't do anything else until the tasks are finished.
相关问题
scheduler = BlockingScheduler 规定 时区
这行代码使用了Python的APScheduler库中的BlockingScheduler类来创建一个调度器对象,用于执行定时任务。但是,这行代码并没有规定时区。如果需要规定时区,可以在创建调度器对象时指定时区参数,例如:
```
scheduler = BlockingScheduler(timezone='Asia/Shanghai')
```
这样就可以将时区设置为中国上海时区。当然,具体使用哪个时区,需要根据实际情况来确定。
from scrapy import cmdline from apscheduler.schedulers.blocking import BlockingScheduler sched = BlockingScheduler() from scrapy.crawler import CrawlerProcess from scrapy.utils.project import get_project_settings def fun_min(): cmdline.execute('scrapy crawl xin'.split()) fun_min() sched.add_job(fun_min, 'interval', hours=10) sched.start() 这段代码是什么意思
这段代码是一个 Python 脚本,用于定时运行 Scrapy 爬虫。
首先,导入了所需的模块和类。`cmdline` 模块用于执行 Scrapy 命令,`BlockingScheduler` 类用于创建一个阻塞式的调度器。`CrawlerProcess` 类用于创建一个爬虫进程,`get_project_settings` 函数用于获取项目的设置。
然后,定义了一个名为 `fun_min` 的函数,该函数执行了 `cmdline.execute('scrapy crawl xin'.split())` 这条命令,启动了名为 "xin" 的 Scrapy 爬虫。
接下来,调用了 `fun_min()` 函数,以便在启动脚本时立即运行一次爬虫。
最后,使用 `sched.add_job()` 方法将 `fun_min` 函数添加到调度器中,指定了每隔 10 小时执行一次。
最后一行的 `sched.start()` 开始运行调度器,程序将在此处阻塞并按照设定的时间间隔执行爬虫任务。