Htykuut

Background: the following code snippet iterates through individual text messages of a thread of an XML iOS backup file returning the content, time sent/received, and direction of each text message from a specified contact.

                else: # if no need to chunk

                    msg_count = len(top["dict"][i]["array"][2].getchildren()) # enumerate messages

                    for n in range(msg_count): # iterate through individual messages 

                        try:

                            time = str(top["dict"][i]["array"][2]["dict"][n]["date"][0]) # fetch time

                            msg = str(top["dict"][i]["array"][2]["dict"][n]["string"][2]) # fetch content

                            if str(top["dict"][i]["array"][2]["dict"][n]["string"][4]) == 'Sent': # sent/received?

                                sent = True

                            else:

                                sent = False

                            container.loc[n] = [time, msg, sent]

                            print('Processed thread ' + str(i) + ' message ' + str(n) + '/' + str(msg_count))

                        except:

                            print('Error at thread ' + str(i) + ' message ' + str(n) + '/' + str(msg_count))

Also, for reference, here are the variables initialized at the top of the program:

path = r'C:UsersxxxDocumentsPythonMessages.xml'

tree = objectify.parse(path)

root = tree.getroot()

top = root.dict.array

target = ''

chunk_max = 500

container = pd.DataFrame(data=None, columns=['time', 'content', 'sent'])

What happens is, no matter how many messages I have with the given contact, the program crashes at a random point with no error code. For a contact with whom I have around 140 messages, it crashes at around message 90. When handling a contact with nearly 150,000 messages, it hangs around 1,000. The exact amount of texts it is able to process varies. There is no error code; my shell simply crashes and restarts.

I have tried running this on both Windows and Mac OS X, with both the native Python shell and Spyder's iPython shell on each platform. Same thing in each instance, although oddly it consistently makes it through more messages in the native shell. Also, notably, my resource usage never spikes when running the program.