Pickling is an easy way to serialize data in Python. One possible use for that is preserving the state across script executions (like saving preferences).
There are few things worth knowing:
cPicklemodules. They are almost the same (
picklehandles more cases but
you can specify protocol parameter to
cPickle.HIGHEST_PROTOCOL- it’s the most efficient one
- the simplest thing to do is to stuff everything you want to serialize in a hash and serialize the hash
The code snippet below shows how to save and load some data to a file. It removes the file if unpickling fails (which can happen if e.g. file is corrupted or not in the right format). The retry logic comes from experience - I found that
os.remove() right after
close() might fail.
import sys, os, string, time, cPickle DATA_FILE_NAME = "settings.dat" def saveData(): fo = open(DATA_FILE_NAME, "wb") version = 1.0 aString = "some data" cPickle.dump(version, fo, protocol = cPickle.HIGHEST_PROTOCOL) cPickle.dump(aString, fo, protocol = cPickle.HIGHEST_PROTOCOL) fo.close() def loadData(): try: fo = open(DATA_FILE_NAME, "rb") except IOError: # it's ok to not have the file print "didn't find file %s with data" % DATA_FILE_NAME return try: version = cPickle.load(fo) aString = cPickle.load(fo) except: fo.close() removeRetryCount = 0 while removeRetryCount < 3: try: os.remove(filePath) break except: time.sleep(1) # try to sleep to make the time for the file not be used anymore print "exception: n %s, n %s, n %s n when trying to remove file %s" % (sys.exc_info(), sys.exc_info(), sys.exc_info(), filePath) removeRetryCount += 1 return fo.close()