With Python, can I keep a persistent dictionary and modify it?
Use JSON
Similar to Pete's answer, I like using JSON because it maps very well to python data structures and is very readable:
Persisting data is trivial:
>>> import json
>>> db = {'hello': 123, 'foo': [1,2,3,4,5,6], 'bar': {'a': 0, 'b':9}}
>>> fh = open("db.json", 'w')
>>> json.dump(db, fh)
and loading it is about the same:
>>> import json
>>> fh = open("db.json", 'r')
>>> db = json.load(fh)
>>> db
{'hello': 123, 'bar': {'a': 0, 'b': 9}, 'foo': [1, 2, 3, 4, 5, 6]}
>>> del new_db['foo'][3]
>>> new_db['foo']
[1, 2, 3, 5, 6]
In addition, JSON loading doesn't suffer from the same security issues that shelve
and pickle
do, although IIRC it is slower than pickle.
If you want to write on every operation:
If you want to save on every operation, you can subclass the Python dict object:
import os
import json
class DictPersistJSON(dict):
def __init__(self, filename, *args, **kwargs):
self.filename = filename
self._load();
self.update(*args, **kwargs)
def _load(self):
if os.path.isfile(self.filename)
and os.path.getsize(self.filename) > 0:
with open(self.filename, 'r') as fh:
self.update(json.load(fh))
def _dump(self):
with open(self.filename, 'w') as fh:
json.dump(self, fh)
def __getitem__(self, key):
return dict.__getitem__(self, key)
def __setitem__(self, key, val):
dict.__setitem__(self, key, val)
self._dump()
def __repr__(self):
dictrepr = dict.__repr__(self)
return '%s(%s)' % (type(self).__name__, dictrepr)
def update(self, *args, **kwargs):
for k, v in dict(*args, **kwargs).items():
self[k] = v
self._dump()
Which you can use like this:
db = DictPersistJSON("db.json")
db["foo"] = "bar" # Will trigger a write
Which is woefully inefficient, but can get you off the ground quickly.
Unpickle from file when program loads, modify as a normal dictionary in memory while program is running, pickle to file when program exits? Not sure exactly what more you're asking for here.
If your keys (not necessarily the values) are strings, the shelve standard library module does what you want pretty seamlessly.