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，由于下面附加了错误，脚本会反复崩溃。如何编辑脚本以便自动重新启动？我已经看过很多解决方案，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)
通过为流编写新函数，找出如何合并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。尽管如此，很高兴听到更好的方法来测试这些功能。
我最近发生了这个问题，并希望分享更多有关它的详细信息。
导致它的错误是因为选择的流式过滤器太宽test。因此，您接收的流速度比您接受的速度快，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修复：
from http.client import IncompleteRead
...
try:
sapi = tweepy.streaming.Stream(auth, CustomStreamListener(api))
sapi.filter(track=["test"])
except IncompleRead:
pass
最好使用递归调用而不是无限循环。看看下面的过滤功能。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)
一种选择是尝试module multiprocessing。我认为有两个原因。
我完全采取了不同的方法，但这部分是因为我正在以常规（或假设的常规）间隔保存我的推文。 @Eugeune严，我认为尝试除了是一个简单而优雅的方式来处理问题。虽然，希望有人会对此发表评论;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，那就是idk（并且很容易写几行来实现这一点）。
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
我用tweepy编写了一个2进程流。它将数据下载，压缩并转储到每小时轮换的文件中。该程序每小时重新启动一次，它可以定期检查流式传输过程，看是否有新的推文被下载。如果没有，它会重新启动整个系统。
代码可以找到here。请注意，对于压缩，它使用管道。在不需要压缩的情况下，修改源很容易。