如果出现错误，如何重新启动 tweepy 脚本？

Question

我有一个 python 脚本，可以将与跟踪关键字相关的推文连续存储到文件中。但是，由于下面附加的错误，该脚本往往会反复崩溃。如何编辑脚本以使其自动重新启动？我见过很多解决方案，包括这个 (Restarting a program after exception)，但我不确定如何在我的脚本中实现它。

import sys
import tweepy
import json
import os

consumer_key=""
consumer_secret=""
access_key = ""
access_secret = ""

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_key, access_secret)
api = tweepy.API(auth)
# directory that you want to save the json file
os.chdir("C:\Users\json_files")
# name of json file you want to create/open and append json to
save_file = open("12may.json", 'a')

class CustomStreamListener(tweepy.StreamListener):
    def __init__(self, api):
        self.api = api
        super(tweepy.StreamListener, self).__init__()

        # self.list_of_tweets = []

    def on_data(self, tweet):
        print tweet
        save_file.write(str(tweet))

    def on_error(self, status_code):
        print >> sys.stderr, 'Encountered error with status code:', status_code
        return True # Don't kill the stream
        print "Stream restarted"

    def on_timeout(self):
        print >> sys.stderr, 'Timeout...'
        return True # Don't kill the stream
        print "Stream restarted"

sapi = tweepy.streaming.Stream(auth, CustomStreamListener(api))
sapi.filter(track=["test"])

================================================ ==============================

Traceback (most recent call last):
  File "C:\Users\tweets_to_json.py", line 41, in <module>
    sapi.filter(track=["test"])
  File "C:\Python27\lib\site-packages\tweepy-2.3-py2.7.egg\tweepy\streaming.py", line 316, in filter
    self._start(async)
  File "C:\Python27\lib\site-packages\tweepy-2.3-py2.7.egg\tweepy\streaming.py", line 235, in _start
    self._run()
  File "C:\Python27\lib\site-packages\tweepy-2.3-py2.7.egg\tweepy\streaming.py", line 165, in _run
    self._read_loop(resp)
  File "C:\Python27\lib\site-packages\tweepy-2.3-py2.7.egg\tweepy\streaming.py", line 206, in _read_loop
    for c in resp.iter_content():
  File "C:\Python27\lib\site-packages\requests-1.2.3-py2.7.egg\requests\models.py", line 541, in generate
    chunk = self.raw.read(chunk_size, decode_content=True)
  File "C:\Python27\lib\site-packages\requests-1.2.3-py2.7.egg\requests\packages\urllib3\response.py", line 171, in read
    data = self._fp.read(amt)
  File "C:\Python27\lib\httplib.py", line 543, in read
    return self._read_chunked(amt)
  File "C:\Python27\lib\httplib.py", line 603, in _read_chunked
    value.append(self._safe_read(amt))
  File "C:\Python27\lib\httplib.py", line 660, in _safe_read
    raise IncompleteRead(''.join(s), amt)
IncompleteRead: IncompleteRead(0 bytes read, 1 more expected)

Answer 1

想出了如何通过为流编写一个新函数来合并 while/try 循环：

def start_stream():
    while True:
        try:
            sapi = tweepy.streaming.Stream(auth, CustomStreamListener(api))
            sapi.filter(track=["Samsung", "s4", "s5", "note" "3", "HTC", "Sony", "Xperia", "Blackberry", "q5", "q10", "z10", "Nokia", "Lumia", "Nexus", "LG", "Huawei", "Motorola"])
        except: 
            continue

start_stream()

我通过使用 CMD + C 手动中断程序来测试自动重启。不过，很高兴听到更好的方法来测试此类功能。

Answer 2

我最近遇到了这个问题，想分享更多关于它的详细信息。

导致它的错误是因为选择的流过滤器太宽test。因此，您接收流的速度超出了您可以接受的速度，这会导致 IncompleRead 错误。

这可以通过优化搜索或使用更具体的异常来解决：

from http.client import IncompleteRead
...
try:
    sapi = tweepy.streaming.Stream(auth, CustomStreamListener(api))
    sapi.filter(track=["test"])
except IncompleRead:
    pass

Answer 3

最好使用递归调用而不是无限while循环。看看下面的 filter 功能。例如

from tweepy import Stream
from service.twitter.listener.tweety_listener import TweetyStreamDataListener
from settings import twitter_config

class Tweety(object):
    def __init__(self, listener=TweetyStreamDataListener()):
        self.listener = listener
        self.__auth__ = None

    def __authenticate__(self):
        from tweepy import OAuthHandler
        if self.__auth__ is None:
            self.__auth__ = OAuthHandler(twitter_config['consumer_key'], twitter_config['consumer_secret'])
            self.__auth__.set_access_token(twitter_config['access_token'], twitter_config['access_token_secret'])
        return self.__auth__ is not None

    def __streamer__(self):
        is_authenticated = self.__authenticate__()
        if is_authenticated:
            return Stream(self.__auth__, self.listener)
        return None

    def filter(self, keywords=None, async=True):
        streamer = self.__streamer__()
        try:
            print "[STREAM] Started steam"
            streamer.filter(track=keywords, async=async)
        except Exception as ex:
            print "[STREAM] Stream stopped! Reconnecting to twitter stream"
            print ex.message, ex.args
            self.filter(keywords=keywords, async=async)

Answer 4

一种选择是尝试modulemultiprocessing。我会争论有两个原因。

1. 能够在设定的时间段内运行进程，而不必“杀死”整个脚本/进程。
2. 您可以将它放在一个 for 循环中，并让它在它死亡或您选择杀死它时重新开始。

我完全采用了不同的方法，但这部分是因为我定期（或应该定期）保存我的推文。 @Eugeune Yan，我认为try except 是一种简单而优雅的处理问题的方法。虽然，希望有人对此发表评论；你真的不知道该方法何时或是否失败，但如果这真的很重要（而且很容易写几行来实现）。

import tiipWriter #Twitter & Textfile writer I wrote with Tweepy.
from add import ThatGuy # utility to supply log file names that won't overwrite old ones.
import multiprocessing


if __name__ == '__main__':
        #number of time increments script needs to run        
        n = 60
        dir = "C:\\Temp\\stufffolder\\twiitlog"
        list = []
        print "preloading logs"
        ThatGuy(n,dir,list) #Finds any existing logs in the folder and one-ups it

        for a in list:
            print "Collecting Tweets....."
            # this is my twitter/textfile writer process
            p = multiprocessing.Process(target=tiipWriter.tiipWriter,args = (a,)) 
            p.start()
            p.join(1800) # num of seconds the process will run
            if p.is_alive():
                print " \n Saving Twitter Stream log   @  " + str(a)
                p.terminate()
                p.join()
            a = open(a,'r')
            a.close()
            if a.closed == True:
                print "File successfully closed"
            else: a.close()
            print "jamaica" #cuz why not

Answer 5

我使用 tweepy 编写了一个 2 进程流式传输。它下载、压缩并将数据转储到每小时轮换的文件中。 该程序每小时重新启动一次，它可以定期检查流媒体进程，以查看是否下载了任何新推文。 如果没有，它会重新启动整个系统。

代码可以在here找到。 请注意，对于压缩，它使用管道。如果不需要压缩，修改源很容易。