1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
|
"""
Caching framework.
This module defines set of cache backends that all conform to a simple API.
In a nutshell, a cache is a set of values -- which can be any object that
may be pickled -- identified by string keys. For the complete API, see
the abstract Cache object, below.
Client code should not access a cache backend directly; instead
it should use the get_cache() function. This function will look at
settings.CACHE_BACKEND and use that to create and load a cache object.
The CACHE_BACKEND setting is a quasi-URI; examples are:
memcached://127.0.0.1:11211/ A memcached backend; the server is running
on localhost port 11211.
pgsql://tablename/ A pgsql backend (the pgsql backend uses
the same database/username as the rest of
the CMS, so only a table name is needed.)
file:///var/tmp/django.cache/ A file-based cache at /var/tmp/django.cache
simple:/// A simple single-process memory cache; you
probably don't want to use this except for
testing. Note that this cache backend is
NOT threadsafe!
All caches may take arguments; these are given in query-string style. Valid
arguments are:
timeout
Default timeout, in seconds, to use for the cache. Defaults
to 5 minutes (300 seconds).
max_entries
For the simple, file, and database backends, the maximum number of
entries allowed in the cache before it is cleaned. Defaults to
300.
cull_percentage
The percentage of entries that are culled when max_entries is reached.
The actual percentage is 1/cull_percentage, so set cull_percentage=3 to
cull 1/3 of the entries when max_entries is reached.
A value of 0 for cull_percentage means that the entire cache will be
dumped when max_entries is reached. This makes culling *much* faster
at the expense of more cache misses.
For example:
memcached://127.0.0.1:11211/?timeout=60
pgsql://tablename/?timeout=120&max_entries=500&cull_percentage=4
Invalid arguments are silently ignored, as are invalid values of known
arguments.
So far, only the memcached and simple backend have been implemented; backends
using postgres, and file-system storage are planned.
"""
##############
# Exceptions #
##############
class InvalidCacheBackendError(Exception):
pass
################################
# Abstract base implementation #
################################
class _Cache:
def __init__(self, params):
timeout = params.get('timeout', 300)
try:
timeout = int(timeout)
except (ValueError, TypeError):
timeout = 300
self.default_timeout = timeout
def get(self, key, default=None):
'''
Fetch a given key from the cache. If the key does not exist, return
default, which itself defaults to None.
'''
raise NotImplementedError
def set(self, key, value, timeout=None):
'''
Set a value in the cache. If timeout is given, that timeout will be
used for the key; otherwise the default cache timeout will be used.
'''
raise NotImplementedError
def delete(self, key):
'''
Delete a key from the cache, failing silently.
'''
raise NotImplementedError
def get_many(self, keys):
'''
Fetch a bunch of keys from the cache. For certain backends (memcached,
pgsql) this can be *much* faster when fetching multiple values.
Returns a dict mapping each key in keys to its value. If the given
key is missing, it will be missing from the response dict.
'''
d = {}
for k in keys:
val = self.get(k)
if val is not None:
d[k] = val
return d
def has_key(self, key):
'''
Returns True if the key is in the cache and has not expired.
'''
return self.get(key) is not None
###########################
# memcached cache backend #
###########################
try:
import memcache
except ImportError:
_MemcachedCache = None
else:
class _MemcachedCache(_Cache):
"""Memcached cache backend."""
def __init__(self, server, params):
_Cache.__init__(self, params)
self._cache = memcache.Client([server])
def get(self, key, default=None):
val = self._cache.get(key)
if val is None:
return default
else:
return val
def set(self, key, value, timeout=0):
self._cache.set(key, value, timeout)
def delete(self, key):
self._cache.delete(key)
def get_many(self, keys):
return self._cache.get_multi(keys)
##################################
# Single-process in-memory cache #
##################################
import time
class _SimpleCache(_Cache):
"""Simple single-process in-memory cache"""
def __init__(self, host, params):
_Cache.__init__(self, params)
self._cache = {}
self._expire_info = {}
max_entries = params.get('max_entries', 300)
try:
self._max_entries = int(max_entries)
except (ValueError, TypeError):
self._max_entries = 300
cull_frequency = params.get('cull_frequency', 3)
try:
self._cull_frequency = int(cull_frequency)
except (ValueError, TypeError):
self._cull_frequency = 3
def get(self, key, default=None):
now = time.time()
exp = self._expire_info.get(key, now)
if exp is not None and exp < now:
del self._cache[key]
del self._expire_info[key]
return default
else:
return self._cache.get(key, default)
def set(self, key, value, timeout=None):
if len(self._cache) >= self._max_entries:
self._cull()
if timeout is None:
timeout = self.default_timeout
self._cache[key] = value
self._expire_info[key] = time.time() + timeout
def delete(self, key):
try:
del self._cache[key]
except KeyError:
pass
try:
del self._expire_info[key]
except KeyError:
pass
def has_key(self, key):
return self._cache.has_key(key)
def _cull(self):
if self._cull_frequency == 0:
self._cache.clear()
self._expire_info.clear()
else:
doomed = [k for (i, k) in enumerate(self._cache) if i % self._cull_frequency == 0]
for k in doomed:
self.delete(k)
##########################################
# Read settings and load a cache backend #
##########################################
from cgi import parse_qsl
_BACKENDS = {
'memcached' : _MemcachedCache,
'simple' : _SimpleCache,
}
def get_cache(backend_uri):
if backend_uri.find(':') == -1:
raise InvalidCacheBackendError("Backend URI must start with scheme://")
scheme, rest = backend_uri.split(':', 1)
if not rest.startswith('//'):
raise InvalidCacheBackendError("Backend URI must start with scheme://")
if scheme not in _BACKENDS.keys():
raise InvalidCacheBackendError("%r is not a valid cache backend" % scheme)
host = rest[2:]
qpos = rest.find('?')
if qpos != -1:
params = dict(parse_qsl(rest[qpos+1:]))
host = rest[:qpos]
else:
params = {}
if host.endswith('/'):
host = host[:-1]
return _BACKENDS[scheme](host, params)
from django.conf.settings import CACHE_BACKEND
cache = get_cache(CACHE_BACKEND)
|