Python pickle.dump满足运行时错误：cmp中超出了最大递归深度

我注意到这可能是由beautifulsoup或递归数据结构引起的。但是，导致错误的数据结构似乎没有问题：

class Movie:
def __init__(self, name="", dscore=0, mscore=0, durl="", murl=""): 
    self.name = name
    self.dscore = float(dscore)
    self.mscore = float(mscore)
    self.durl = durl
    self.murl = murl
def __str__(self):
    return unicode(self.name) + u' / ' + unicode(self.dscore) + u' / ' + unicode(self.mscore) \
        + u' / ' + unicode(self.durl) + u' / ' + unicode(self.murl)

导致问题的陈述是：

DataDict['MovieInfo'] = MovieInfo

及

功能如下：

def SaveData():
global LinkUrlQueue
global MovieSet
global MovieInfo
global LinkUrlSet
global MovieUrlQueue
DataDict = {}
DataDict['LinkUrlSet'] = LinkUrlSet
DataDict['MovieSet'] = MovieSet
#DataDict['MovieInfo'] = MovieInfo
DataDict['LinkUrlQueue'] = LinkUrlQueue
DataDict['MovieUrlQueue'] = MovieUrlQueue
f = open('MovieInfo.txt', 'wb')

for item in MovieInfo:
    f.write(item.__str__().encode('utf8') + '\n'.encode('utf8'))
f.close()
try:
    print 'saving data...'
    f = open('spider.dat', 'wb')
    pickle.dump(DataDict, f, True)
    f.close()
except IOError as e:
    print 'IOError, error no: %d' % e.no
    print 'saved to spider2.dat'
    pickle.dump(DataDict, open('spider2.dat', 'wb'))
    time.sleep(10)

我的完整源代码：

spider.py：

fetch.py：

您只需下载并运行

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此外，欢迎任何编码风格建议

好吧。。。我终于自己解决了这个问题

这个问题的原因是pickle不能处理BEAUTIFULSOUP！！！通常，它不能处理html解析器

我意识到在将参数传递到函数中时，我应该将它们转换为str（）或unicode（），然后进行赋值，而不是将它们保留为beautifulsoup对象

---

谢谢大家~

将帮助提供重现问题的解决方案。我更喜欢PEP8风格。函数都是小写的，类的首字母大写。不要从

\uuuu str\uuu

方法返回unicode对象。而是从

\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu。
def SaveData():
global LinkUrlQueue
global MovieSet
global MovieInfo
global LinkUrlSet
global MovieUrlQueue
DataDict = {}
DataDict['LinkUrlSet'] = LinkUrlSet
DataDict['MovieSet'] = MovieSet
#DataDict['MovieInfo'] = MovieInfo
DataDict['LinkUrlQueue'] = LinkUrlQueue
DataDict['MovieUrlQueue'] = MovieUrlQueue
f = open('MovieInfo.txt', 'wb')

for item in MovieInfo:
    f.write(item.__str__().encode('utf8') + '\n'.encode('utf8'))
f.close()
try:
    print 'saving data...'
    f = open('spider.dat', 'wb')
    pickle.dump(DataDict, f, True)
    f.close()
except IOError as e:
    print 'IOError, error no: %d' % e.no
    print 'saved to spider2.dat'
    pickle.dump(DataDict, open('spider2.dat', 'wb'))
    time.sleep(10)