Catch situations where currentframe() returns None. See SF patch #1447410, this is...
[python.git] / Lib / shelve.py
blob4959c262c3ecec7a9f74439e7d02348c95a03e40
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
72 import warnings
74 __all__ = ["Shelf","BsdDbShelf","DbfilenameShelf","open"]
76 class Shelf(UserDict.DictMixin):
77 """Base class for shelf implementations.
79 This is initialized with a dictionary-like object.
80 See the module's __doc__ string for an overview of the interface.
81 """
83 def __init__(self, dict, protocol=None, writeback=False):
84 self.dict = dict
85 if protocol is None:
86 protocol = 0
87 self._protocol = protocol
88 self.writeback = writeback
89 self.cache = {}
91 def keys(self):
92 return self.dict.keys()
94 def __len__(self):
95 return len(self.dict)
97 def has_key(self, key):
98 return self.dict.has_key(key)
100 def __contains__(self, key):
101 return self.dict.has_key(key)
103 def get(self, key, default=None):
104 if self.dict.has_key(key):
105 return self[key]
106 return default
108 def __getitem__(self, key):
109 try:
110 value = self.cache[key]
111 except KeyError:
112 f = StringIO(self.dict[key])
113 value = Unpickler(f).load()
114 if self.writeback:
115 self.cache[key] = value
116 return value
118 def __setitem__(self, key, value):
119 if self.writeback:
120 self.cache[key] = value
121 f = StringIO()
122 p = Pickler(f, self._protocol)
123 p.dump(value)
124 self.dict[key] = f.getvalue()
126 def __delitem__(self, key):
127 del self.dict[key]
128 try:
129 del self.cache[key]
130 except KeyError:
131 pass
133 def close(self):
134 self.sync()
135 try:
136 self.dict.close()
137 except AttributeError:
138 pass
139 self.dict = 0
141 def __del__(self):
142 self.close()
144 def sync(self):
145 if self.writeback and self.cache:
146 self.writeback = False
147 for key, entry in self.cache.iteritems():
148 self[key] = entry
149 self.writeback = True
150 self.cache = {}
151 if hasattr(self.dict, 'sync'):
152 self.dict.sync()
155 class BsdDbShelf(Shelf):
156 """Shelf implementation using the "BSD" db interface.
158 This adds methods first(), next(), previous(), last() and
159 set_location() that have no counterpart in [g]dbm databases.
161 The actual database must be opened using one of the "bsddb"
162 modules "open" routines (i.e. bsddb.hashopen, bsddb.btopen or
163 bsddb.rnopen) and passed to the constructor.
165 See the module's __doc__ string for an overview of the interface.
168 def __init__(self, dict, protocol=None, writeback=False):
169 Shelf.__init__(self, dict, protocol, writeback)
171 def set_location(self, key):
172 (key, value) = self.dict.set_location(key)
173 f = StringIO(value)
174 return (key, Unpickler(f).load())
176 def next(self):
177 (key, value) = self.dict.next()
178 f = StringIO(value)
179 return (key, Unpickler(f).load())
181 def previous(self):
182 (key, value) = self.dict.previous()
183 f = StringIO(value)
184 return (key, Unpickler(f).load())
186 def first(self):
187 (key, value) = self.dict.first()
188 f = StringIO(value)
189 return (key, Unpickler(f).load())
191 def last(self):
192 (key, value) = self.dict.last()
193 f = StringIO(value)
194 return (key, Unpickler(f).load())
197 class DbfilenameShelf(Shelf):
198 """Shelf implementation using the "anydbm" generic dbm interface.
200 This is initialized with the filename for the dbm database.
201 See the module's __doc__ string for an overview of the interface.
204 def __init__(self, filename, flag='c', protocol=None, writeback=False):
205 import anydbm
206 Shelf.__init__(self, anydbm.open(filename, flag), protocol, writeback)
209 def open(filename, flag='c', protocol=None, writeback=False):
210 """Open a persistent dictionary for reading and writing.
212 The filename parameter is the base filename for the underlying
213 database. As a side-effect, an extension may be added to the
214 filename and more than one file may be created. The optional flag
215 parameter has the same interpretation as the flag parameter of
216 anydbm.open(). The optional protocol parameter specifies the
217 version of the pickle protocol (0, 1, or 2).
219 See the module's __doc__ string for an overview of the interface.
222 return DbfilenameShelf(filename, flag, protocol, writeback)