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Jan-Piet Mens
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# http://code.activestate.com/recipes/576642/ | ||
import pickle, json, csv, os, shutil | ||
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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. | ||
''' | ||
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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) | ||
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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) | ||
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def close(self): | ||
self.sync() | ||
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def __enter__(self): | ||
return self | ||
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def __exit__(self, *exc_info): | ||
self.close() | ||
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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)) | ||
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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') | ||
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if __name__ == '__main__': | ||
import random | ||
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# 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') | ||
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# Show what the file looks like on disk | ||
with open('/tmp/demo.json', 'rb') as f: | ||
print(f.read()) |