python2.7 - 在python中处理错误时,在执行完except语句下的内容后是否有办法回跳到代码出错的地方继续执行
PHPz
PHPz 2017-04-18 09:57:02
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python2.x

跑一段代码的时候,可能会报错某个错误,如果报错了,只需要进行一些处理,然后再继续执行原来的代码就好。

我目前是用try .. except来处理的,但是像这样只要报错就只会执行except下的代码然后程序结束

如果我加上finally的话,我又不能知道具体出错的是哪句代码(每一句都有可能报错),所以也没办法在finally下面加上后续的代码。

PHPz
PHPz

学习是最好的投资!

reply all (2)
刘奇

What about reducing the granularity of try-catch? Or paste your code for analysis. What you said about continuing to execute the original code after an exception is a bit vague.

【Edit】
After reading the other two answers, they are basically the two ideas I put forward in the comments below. It should be said that everyone’s ideas are basically the same. Modify it here and give me a code plan:

# introduce a new function # @return: succeed, new_ip def exec(ip, url): try: # do what you want to do return True, ip except: # change your id return False, new_ip # your original logics urls = [url1, url2, ..., url10] i = 0 ip = ip1 while i <= len(urls): succeed, ip = exec(ip, urls[i]) if succeed: i +=1
    黄舟

    I just wrote one, which is to generateAccess Token的,Access Token数据库中是唯一的,但是生成Access Token的函数不能保证每次生成的Access Token都是不一样的。所以我用了一个很恶心的whileloop. It’s roughly as follows:

    while True: try: access_token = make_token() access_token.add_to_db break except IntegrityError as e: if e.orig.args[0] == 1062: # 这种情况下,发生了mysql 1062异常,说明数据库中有重复的access token,需要反复生成新的,直至不同 pass else: raise e

    Not clever, but it works.

    Or talk about your business, maybe it doesn’t have to be so disgusting.

    Original text of the question: This is a bit more troublesome for me. For example, I need to request 10 URLs in sequence. If the fifth URL is disconnected, an error will be reported, and then I will execute the code below except to change the IP. It is impossible every time Please write a while request, this is simply unreadable

    My plan:

    def r(uri, data): while True: try: res = requests(uri, data) return res except: change_ip()

    This solution should be possible for single-process and single-thread synchronous requests.

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