add release date
[python/dscho.git] / Lib / shelve.py
blobc8cba8582d6ff1ed7a4c7af6e42492fdfca3d13d
1 """Manage shelves of pickled objects.
3 A "shelf" is a persistent, dictionary-like object. The difference
4 with dbm databases is that the values (not the keys!) in a shelf can
5 be essentially arbitrary Python objects -- anything that the "pickle"
6 module can handle. This includes most class instances, recursive data
7 types, and objects containing lots of shared sub-objects. The keys
8 are ordinary strings.
10 To summarize the interface (key is a string, data is an arbitrary
11 object):
13 import shelve
14 d = shelve.open(filename) # open, with (g)dbm filename -- no suffix
16 d[key] = data # store data at key (overwrites old data if
17 # using an existing key)
18 data = d[key] # retrieve a COPY of the data at key (raise
19 # KeyError if no such key) -- NOTE that this
20 # access returns a *copy* of the entry!
21 del d[key] # delete data stored at key (raises KeyError
22 # if no such key)
23 flag = d.has_key(key) # true if the key exists; same as "key in d"
24 list = d.keys() # a list of all existing keys (slow!)
26 d.close() # close it
28 Dependent on the implementation, closing a persistent dictionary may
29 or may not be necessary to flush changes to disk.
31 Normally, d[key] returns a COPY of the entry. This needs care when
32 mutable entries are mutated: for example, if d[key] is a list,
33 d[key].append(anitem)
34 does NOT modify the entry d[key] itself, as stored in the persistent
35 mapping -- it only modifies the copy, which is then immediately
36 discarded, so that the append has NO effect whatsoever. To append an
37 item to d[key] in a way that will affect the persistent mapping, use:
38 data = d[key]
39 data.append(anitem)
40 d[key] = data
42 To avoid the problem with mutable entries, you may pass the keyword
43 argument writeback=True in the call to shelve.open. When you use:
44 d = shelve.open(filename, writeback=True)
45 then d keeps a cache of all entries you access, and writes them all back
46 to the persistent mapping when you call d.close(). This ensures that
47 such usage as d[key].append(anitem) works as intended.
49 However, using keyword argument writeback=True may consume vast amount
50 of memory for the cache, and it may make d.close() very slow, if you
51 access many of d's entries after opening it in this way: d has no way to
52 check which of the entries you access are mutable and/or which ones you
53 actually mutate, so it must cache, and write back at close, all of the
54 entries that you access. You can call d.sync() to write back all the
55 entries in the cache, and empty the cache (d.sync() also synchronizes
56 the persistent dictionary on disk, if feasible).
57 """
59 # Try using cPickle and cStringIO if available.
61 try:
62 from cPickle import Pickler, Unpickler
63 except ImportError:
64 from pickle import Pickler, Unpickler
66 try:
67 from cStringIO import StringIO
68 except ImportError:
69 from StringIO import StringIO
71 import UserDict
73 __all__ = ["Shelf","BsdDbShelf","DbfilenameShelf","open"]
75 class _ClosedDict(UserDict.DictMixin):
76 'Marker for a closed dict. Access attempts raise a ValueError.'
78 def closed(self, *args):
79 raise ValueError('invalid operation on closed shelf')
80 __getitem__ = __setitem__ = __delitem__ = keys = closed
82 def __repr__(self):
83 return '<Closed Dictionary>'
85 class Shelf(UserDict.DictMixin):
86 """Base class for shelf implementations.
88 This is initialized with a dictionary-like object.
89 See the module's __doc__ string for an overview of the interface.
90 """
92 def __init__(self, dict, protocol=None, writeback=False):
93 self.dict = dict
94 if protocol is None:
95 protocol = 0
96 self._protocol = protocol
97 self.writeback = writeback
98 self.cache = {}
100 def keys(self):
101 return self.dict.keys()
103 def __len__(self):
104 return len(self.dict)
106 def has_key(self, key):
107 return key in self.dict
109 def __contains__(self, key):
110 return key in self.dict
112 def get(self, key, default=None):
113 if key in self.dict:
114 return self[key]
115 return default
117 def __getitem__(self, key):
118 try:
119 value = self.cache[key]
120 except KeyError:
121 f = StringIO(self.dict[key])
122 value = Unpickler(f).load()
123 if self.writeback:
124 self.cache[key] = value
125 return value
127 def __setitem__(self, key, value):
128 if self.writeback:
129 self.cache[key] = value
130 f = StringIO()
131 p = Pickler(f, self._protocol)
132 p.dump(value)
133 self.dict[key] = f.getvalue()
135 def __delitem__(self, key):
136 del self.dict[key]
137 try:
138 del self.cache[key]
139 except KeyError:
140 pass
142 def close(self):
143 self.sync()
144 try:
145 self.dict.close()
146 except AttributeError:
147 pass
148 # Catch errors that may happen when close is called from __del__
149 # because CPython is in interpreter shutdown.
150 try:
151 self.dict = _ClosedDict()
152 except (NameError, TypeError):
153 self.dict = None
155 def __del__(self):
156 if not hasattr(self, 'writeback'):
157 # __init__ didn't succeed, so don't bother closing
158 return
159 self.close()
161 def sync(self):
162 if self.writeback and self.cache:
163 self.writeback = False
164 for key, entry in self.cache.iteritems():
165 self[key] = entry
166 self.writeback = True
167 self.cache = {}
168 if hasattr(self.dict, 'sync'):
169 self.dict.sync()
172 class BsdDbShelf(Shelf):
173 """Shelf implementation using the "BSD" db interface.
175 This adds methods first(), next(), previous(), last() and
176 set_location() that have no counterpart in [g]dbm databases.
178 The actual database must be opened using one of the "bsddb"
179 modules "open" routines (i.e. bsddb.hashopen, bsddb.btopen or
180 bsddb.rnopen) and passed to the constructor.
182 See the module's __doc__ string for an overview of the interface.
185 def __init__(self, dict, protocol=None, writeback=False):
186 Shelf.__init__(self, dict, protocol, writeback)
188 def set_location(self, key):
189 (key, value) = self.dict.set_location(key)
190 f = StringIO(value)
191 return (key, Unpickler(f).load())
193 def next(self):
194 (key, value) = self.dict.next()
195 f = StringIO(value)
196 return (key, Unpickler(f).load())
198 def previous(self):
199 (key, value) = self.dict.previous()
200 f = StringIO(value)
201 return (key, Unpickler(f).load())
203 def first(self):
204 (key, value) = self.dict.first()
205 f = StringIO(value)
206 return (key, Unpickler(f).load())
208 def last(self):
209 (key, value) = self.dict.last()
210 f = StringIO(value)
211 return (key, Unpickler(f).load())
214 class DbfilenameShelf(Shelf):
215 """Shelf implementation using the "anydbm" generic dbm interface.
217 This is initialized with the filename for the dbm database.
218 See the module's __doc__ string for an overview of the interface.
221 def __init__(self, filename, flag='c', protocol=None, writeback=False):
222 import anydbm
223 Shelf.__init__(self, anydbm.open(filename, flag), protocol, writeback)
226 def open(filename, flag='c', protocol=None, writeback=False):
227 """Open a persistent dictionary for reading and writing.
229 The filename parameter is the base filename for the underlying
230 database. As a side-effect, an extension may be added to the
231 filename and more than one file may be created. The optional flag
232 parameter has the same interpretation as the flag parameter of
233 anydbm.open(). The optional protocol parameter specifies the
234 version of the pickle protocol (0, 1, or 2).
236 See the module's __doc__ string for an overview of the interface.
239 return DbfilenameShelf(filename, flag, protocol, writeback)