当两个python脚本访问单个pickle文件时，如何避免读取错误？

我需要在从两个不同来源启动的两个Python脚本之间传递数据。我看到我的记录器出现读取错误。有更好的办法吗

程序A:大约每分钟都会定期写入pickle文件

def cacheData(filepath, data):
    #create a cPickle file to cache the current data
    try:  
        outFile = open(filepath,'wb')  
        #cPickle the current data to a file  
        cPickle.dump(data, outFile)  
        outFile.close()   
    except Exception, e:  
        logger.warn("Error creating cache file")  

程序B:是由用户启动的已编译可执行文件。它读取pickle文件以启动一些代码

def readCachedObj(filepath):
    #read cPickle file and return data as object
    try:
        inFile = open(filepath,'rb')
        cache = cPickle.load(inFile)
        inFile.close()
        return cache
    except Exception, e:
        logger.warn("Error reading cached data cPickle")

更新1

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永远不要覆盖现有文件。相反，请写入一个新文件，然后在成功关闭它后执行（原子）重命名。

这似乎适合我。通过创建新的临时文件，然后使用文件覆盖，cacheData函数在处理最终的pickle文件时非常快速。

---

大概但你不是这样问的。你现在真的有问题吗？是的，我在阅读方面看到了错误。我正在发布我的代码，并已将其重新格式化。第一次关于堆栈溢出-感谢您的耐心。我发现Python2.7在windows上需要Win32，并按照更新1中的建议使用临时文件添加到上面的代码中。

def replace(src, dst):
    win32api.MoveFileEx(src, dst, win32con.MOVEFILE_REPLACE_EXISTING)    

def cacheData(filepath, data):
    #create a cPickle file to cache the current data
    try:  
        tmpfile = str(uuid.uuid4()) + '.tmp'
        outFile = open(tmpfile,'wb')  
        #cPickle the current data to a temp file  
        cPickle.dump(data, outFile)  
        outFile.close()  
        #replace the pickle file with the new temp file
        replace(tmpfile, filepath)    
        #remove any extraneous temp files
        for f in glob.glob("*.tmp"):
            os.remove(f)        
    except Exception, e:  
        logger.warn("Error creating cache file")  

def readCachedObj(filepath):
    #read cPickle file and return data as object
    try:     
        inFile = open(filepath,'rb')
        cache = cPickle.load(inFile)
        inFile.close()
        return cache
    except Exception, e:
        logger.warn("Error reading cached data cPickle")      

def replace(src, dst):
    win32api.MoveFileEx(src, dst, win32con.MOVEFILE_REPLACE_EXISTING)    

def cacheData(filepath, data):
    #create a cPickle file to cache the current data
    try:  
        tmpfile = str(uuid.uuid4()) + '.tmp'
        outFile = open(tmpfile,'wb')  
        #cPickle the current data to a temp file  
        cPickle.dump(data, outFile)  
        outFile.close()  
        #replace the pickle file with the new temp file
        replace(tmpfile, filepath)    
        #remove any extraneous temp files
        for f in glob.glob("*.tmp"):
            os.remove(f)        
    except Exception, e:  
        logger.warn("Error creating cache file")  

def readCachedObj(filepath):
    #read cPickle file and return data as object
    try:     
        inFile = open(filepath,'rb')
        cache = cPickle.load(inFile)
        inFile.close()
        return cache
    except Exception, e:
        logger.warn("Error reading cached data cPickle")