python使用pickle,json等序列化dict - 云萌主云应用官方论坛

import pickle, json, csv, os, shutil
class PersistentDict(dict):
''' Persistent dictionary with an API compatible with shelve and anydbm.
The dict is kept in memory, so the dictionary operations run as fast as
a regular dictionary.
Write to disk is delayed until close or sync (similar to gdbm's fast mode).
Input file format is automatically discovered.
Output file format is selectable between pickle, json, and csv.
All three serialization formats are backed by fast C implementations.
'''
def __init__(self, filename, flag='c', mode=None, format='pickle', *args, **kwds):
self.flag = flag # r=readonly, c=create, or n=new
self.mode = mode # None or an octal triple like 0644
self.format = format # 'csv', 'json', or 'pickle'
self.filename = filename
if flag != 'n' and os.access(filename, os.R_OK):
fileobj = open(filename, 'rb' if format=='pickle' else 'r')
with fileobj:
self.load(fileobj)
dict.__init__(self, *args, **kwds)
def sync(self):
'Write dict to disk'
if self.flag == 'r':
return
filename = self.filename
tempname = filename + '.tmp'
fileobj = open(tempname, 'wb' if self.format=='pickle' else 'w')
try:
self.dump(fileobj)
except Exception:
os.remove(tempname)
raise
finally:
fileobj.close()
shutil.move(tempname, self.filename) # atomic commit
if self.mode is not None:
os.chmod(self.filename, self.mode)
def close(self):
self.sync()
def __enter__(self):
return self
def __exit__(self, *exc_info):
self.close()
def dump(self, fileobj):
if self.format == 'csv':
csv.writer(fileobj).writerows(self.items())
elif self.format == 'json':
json.dump(self, fileobj, separators=(',', ':'))
elif self.format == 'pickle':
pickle.dump(dict(self), fileobj, 2)
else:
raise NotImplementedError('Unknown format: ' + repr(self.format))
def load(self, fileobj):
# try formats from most restrictive to least restrictive
for loader in (pickle.load, json.load, csv.reader):
fileobj.seek(0)
try:
return self.update(loader(fileobj))
except Exception:
pass
raise ValueError('File not in a supported format')
if __name__ == '__main__':
import random
# Make and use a persistent dictionary
with PersistentDict('/tmp/demo.json', 'c', format='json') as d:
print(d, 'start')
d['abc'] = '123'
d['rand'] = random.randrange(10000)
print(d, 'updated')
# Show what the file looks like on disk
with open('/tmp/demo.json', 'rb') as f:
print(f.read())

复制代码