Initial YakPanel commit

This commit is contained in:
Niranjan
2026-04-07 02:04:22 +05:30
commit 2826d3e7f3
5359 changed files with 1390724 additions and 0 deletions

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# -*- coding: utf-8 -*-
from cachelib.base import BaseCache, NullCache
from cachelib.simple import SimpleCache
from cachelib.session_simpile import SimpleCacheSession
from cachelib.file import FileSystemCache
from cachelib.memcached import MemcachedCache
from cachelib.redis import RedisCache
from cachelib.uwsgi import UWSGICache
__all__ = [
'BaseCache',
'NullCache',
'SimpleCache',
'FileSystemCache',
'MemcachedCache',
'RedisCache',
'UWSGICache',
'SimpleCacheSession'
]
__version__ = '0.1'
__author__ = 'Pallets Team'

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class/cachelib/_compat.py Normal file
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# flake8: noqa
import sys
PY2 = sys.version_info[0] == 2
if PY2:
text_type = unicode
string_types = (str, unicode)
integer_types = (int, long)
iteritems = lambda d, *args, **kwargs: d.iteritems(*args, **kwargs)
def to_native(x, charset=sys.getdefaultencoding(), errors='strict'):
if x is None or isinstance(x, str):
return x
return x.encode(charset, errors)
else:
text_type = str
string_types = (str, )
integer_types = (int, )
iteritems = lambda d, *args, **kwargs: iter(d.items(*args, **kwargs))
def to_native(x, charset=sys.getdefaultencoding(), errors='strict'):
if x is None or isinstance(x, str):
return x
return x.decode(charset, errors)

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class/cachelib/base.py Normal file
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# -*- coding: utf-8 -*-
from cachelib._compat import iteritems
def _items(mappingorseq):
"""Wrapper for efficient iteration over mappings represented by dicts
or sequences::
>>> for k, v in _items((i, i*i) for i in xrange(5)):
... assert k*k == v
>>> for k, v in _items(dict((i, i*i) for i in xrange(5))):
... assert k*k == v
"""
if hasattr(mappingorseq, 'items'):
return iteritems(mappingorseq)
return mappingorseq
class BaseCache(object):
"""Baseclass for the cache systems. All the cache systems implement this
API or a superset of it.
:param default_timeout: the default timeout (in seconds) that is used if
no timeout is specified on :meth:`set`. A timeout
of 0 indicates that the cache never expires.
"""
def __init__(self, default_timeout=300):
self.default_timeout = default_timeout
def _normalize_timeout(self, timeout):
if timeout is None:
timeout = self.default_timeout
return timeout
def get(self, key):
"""Look up key in the cache and return the value for it.
:param key: the key to be looked up.
:returns: The value if it exists and is readable, else ``None``.
"""
return None
def delete(self, key):
"""Delete `key` from the cache.
:param key: the key to delete.
:returns: Whether the key existed and has been deleted.
:rtype: boolean
"""
return True
def get_many(self, *keys):
"""Returns a list of values for the given keys.
For each key an item in the list is created::
foo, bar = cache.get_many("foo", "bar")
Has the same error handling as :meth:`get`.
:param keys: The function accepts multiple keys as positional
arguments.
"""
return [self.get(k) for k in keys]
def get_dict(self, *keys):
"""Like :meth:`get_many` but return a dict::
d = cache.get_dict("foo", "bar")
foo = d["foo"]
bar = d["bar"]
:param keys: The function accepts multiple keys as positional
arguments.
"""
return dict(zip(keys, self.get_many(*keys)))
def set(self, key, value, timeout=None):
"""Add a new key/value to the cache (overwrites value, if key already
exists in the cache).
:param key: the key to set
:param value: the value for the key
:param timeout: the cache timeout for the key in seconds (if not
specified, it uses the default timeout). A timeout of
0 indicates that the cache never expires.
:returns: ``True`` if key has been updated, ``False`` for backend
errors. Pickling errors, however, will raise a subclass of
``pickle.PickleError``.
:rtype: boolean
"""
return True
def add(self, key, value, timeout=None):
"""Works like :meth:`set` but does not overwrite the values of already
existing keys.
:param key: the key to set
:param value: the value for the key
:param timeout: the cache timeout for the key in seconds (if not
specified, it uses the default timeout). A timeout of
0 indicates that the cache never expires.
:returns: Same as :meth:`set`, but also ``False`` for already
existing keys.
:rtype: boolean
"""
return True
def set_many(self, mapping, timeout=None):
"""Sets multiple keys and values from a mapping.
:param mapping: a mapping with the keys/values to set.
:param timeout: the cache timeout for the key in seconds (if not
specified, it uses the default timeout). A timeout of
0 indicates that the cache never expires.
:returns: Whether all given keys have been set.
:rtype: boolean
"""
rv = True
for key, value in _items(mapping):
if not self.set(key, value, timeout):
rv = False
return rv
def delete_many(self, *keys):
"""Deletes multiple keys at once.
:param keys: The function accepts multiple keys as positional
arguments.
:returns: Whether all given keys have been deleted.
:rtype: boolean
"""
return all(self.delete(key) for key in keys)
def has(self, key):
"""Checks if a key exists in the cache without returning it. This is a
cheap operation that bypasses loading the actual data on the backend.
This method is optional and may not be implemented on all caches.
:param key: the key to check
"""
raise NotImplementedError(
'%s doesn\'t have an efficient implementation of `has`. That '
'means it is impossible to check whether a key exists without '
'fully loading the key\'s data. Consider using `self.get` '
'explicitly if you don\'t care about performance.'
)
def clear(self):
"""Clears the cache. Keep in mind that not all caches support
completely clearing the cache.
:returns: Whether the cache has been cleared.
:rtype: boolean
"""
return True
def inc(self, key, delta=1):
"""Increments the value of a key by `delta`. If the key does
not yet exist it is initialized with `delta`.
For supporting caches this is an atomic operation.
:param key: the key to increment.
:param delta: the delta to add.
:returns: The new value or ``None`` for backend errors.
"""
value = (self.get(key) or 0) + delta
return value if self.set(key, value) else None
def dec(self, key, delta=1):
"""Decrements the value of a key by `delta`. If the key does
not yet exist it is initialized with `-delta`.
For supporting caches this is an atomic operation.
:param key: the key to increment.
:param delta: the delta to subtract.
:returns: The new value or `None` for backend errors.
"""
value = (self.get(key) or 0) - delta
return value if self.set(key, value) else None
class NullCache(BaseCache):
"""A cache that doesn't cache. This can be useful for unit testing.
:param default_timeout: a dummy parameter that is ignored but exists
for API compatibility with other caches.
"""
def has(self, key):
return False

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class/cachelib/file.py Normal file
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# -*- coding: utf-8 -*-
import os
import errno
import tempfile
from hashlib import md5
from time import time
try:
import cPickle as pickle
except ImportError: # pragma: no cover
import pickle
from cachelib.base import BaseCache
from cachelib._compat import text_type
class FileSystemCache(BaseCache):
"""A cache that stores the items on the file system. This cache depends
on being the only user of the `cache_dir`. Make absolutely sure that
nobody but this cache stores files there or otherwise the cache will
randomly delete files therein.
:param cache_dir: the directory where cache files are stored.
:param threshold: the maximum number of items the cache stores before
it starts deleting some. A threshold value of 0
indicates no threshold.
:param default_timeout: the default timeout that is used if no timeout is
specified on :meth:`~BaseCache.set`. A timeout of
0 indicates that the cache never expires.
:param mode: the file mode wanted for the cache files, default 0600
"""
#: used for temporary files by the FileSystemCache
_fs_transaction_suffix = '.__wz_cache'
#: keep amount of files in a cache element
_fs_count_file = '__wz_cache_count'
def __init__(self, cache_dir, threshold=500, default_timeout=300,
mode=0o600):
BaseCache.__init__(self, default_timeout)
self._path = cache_dir
self._threshold = threshold
self._mode = mode
try:
os.makedirs(self._path)
except OSError as ex:
if ex.errno != errno.EEXIST:
raise
# If there are many files and a zero threshold,
# the list_dir can slow initialisation massively
if self._threshold != 0:
self._update_count(value=len(self._list_dir()))
@property
def _file_count(self):
return self.get(self._fs_count_file) or 0
def _update_count(self, delta=None, value=None):
# If we have no threshold, don't count files
if self._threshold == 0:
return
if delta:
new_count = self._file_count + delta
else:
new_count = value or 0
self.set(self._fs_count_file, new_count, mgmt_element=True)
def _normalize_timeout(self, timeout):
timeout = BaseCache._normalize_timeout(self, timeout)
if timeout != 0:
timeout = time() + timeout
return int(timeout)
def _list_dir(self):
"""return a list of (fully qualified) cache filenames
"""
mgmt_files = [self._get_filename(name).split('/')[-1]
for name in (self._fs_count_file,)]
return [os.path.join(self._path, fn) for fn in os.listdir(self._path)
if not fn.endswith(self._fs_transaction_suffix)
and fn not in mgmt_files]
def _prune(self):
if self._threshold == 0 or not self._file_count > self._threshold:
return
entries = self._list_dir()
now = time()
for idx, fname in enumerate(entries):
try:
remove = False
with open(fname, 'rb') as f:
expires = pickle.load(f)
remove = (expires != 0 and expires <= now) or idx % 3 == 0
if remove:
os.remove(fname)
except (IOError, OSError):
pass
self._update_count(value=len(self._list_dir()))
def clear(self):
for fname in self._list_dir():
try:
os.remove(fname)
except (IOError, OSError):
self._update_count(value=len(self._list_dir()))
return False
self._update_count(value=0)
return True
def _get_filename(self, key):
if isinstance(key, text_type):
key = key.encode('utf-8') # XXX unicode review
hash = md5(key).hexdigest()
return os.path.join(self._path, hash)
def get(self, key):
filename = self._get_filename(key)
try:
with open(filename, 'rb') as f:
pickle_time = pickle.load(f)
if pickle_time == 0 or pickle_time >= time():
return pickle.load(f)
else:
os.remove(filename)
return None
except (IOError, OSError, pickle.PickleError):
return None
def add(self, key, value, timeout=None):
filename = self._get_filename(key)
if not os.path.exists(filename):
return self.set(key, value, timeout)
return False
def set(self, key, value, timeout=None, mgmt_element=False):
# Management elements have no timeout
if mgmt_element:
timeout = 0
# Don't prune on management element update, to avoid loop
else:
self._prune()
timeout = self._normalize_timeout(timeout)
filename = self._get_filename(key)
try:
fd, tmp = tempfile.mkstemp(suffix=self._fs_transaction_suffix,
dir=self._path)
with os.fdopen(fd, 'wb') as f:
pickle.dump(timeout, f, 1)
pickle.dump(value, f, pickle.HIGHEST_PROTOCOL)
os.rename(tmp, filename)
os.chmod(filename, self._mode)
except (IOError, OSError):
return False
else:
# Management elements should not count towards threshold
if not mgmt_element:
self._update_count(delta=1)
return True
def delete(self, key, mgmt_element=False):
try:
os.remove(self._get_filename(key))
except (IOError, OSError):
return False
else:
# Management elements should not count towards threshold
if not mgmt_element:
self._update_count(delta=-1)
return True
def has(self, key):
filename = self._get_filename(key)
try:
with open(filename, 'rb') as f:
pickle_time = pickle.load(f)
if pickle_time == 0 or pickle_time >= time():
return True
else:
os.remove(filename)
return False
except (IOError, OSError, pickle.PickleError):
return False

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# -*- coding: utf-8 -*-
import re
from time import time
from cachelib._compat import iteritems, to_native
from cachelib.base import BaseCache, _items
_test_memcached_key = re.compile(r'[^\x00-\x21\xff]{1,250}$').match
class MemcachedCache(BaseCache):
"""A cache that uses memcached as backend.
The first argument can either be an object that resembles the API of a
:class:`memcache.Client` or a tuple/list of server addresses. In the
event that a tuple/list is passed, Werkzeug tries to import the best
available memcache library.
This cache looks into the following packages/modules to find bindings for
memcached:
- ``pylibmc``
- ``google.appengine.api.memcached``
- ``memcached``
- ``libmc``
Implementation notes: This cache backend works around some limitations in
memcached to simplify the interface. For example unicode keys are encoded
to utf-8 on the fly. Methods such as :meth:`~BaseCache.get_dict` return
the keys in the same format as passed. Furthermore all get methods
silently ignore key errors to not cause problems when untrusted user data
is passed to the get methods which is often the case in web applications.
:param servers: a list or tuple of server addresses or alternatively
a :class:`memcache.Client` or a compatible client.
:param default_timeout: the default timeout that is used if no timeout is
specified on :meth:`~BaseCache.set`. A timeout of
0 indicates that the cache never expires.
:param key_prefix: a prefix that is added before all keys. This makes it
possible to use the same memcached server for different
applications. Keep in mind that
:meth:`~BaseCache.clear` will also clear keys with a
different prefix.
"""
def __init__(self, servers=None, default_timeout=300, key_prefix=None):
BaseCache.__init__(self, default_timeout)
if servers is None or isinstance(servers, (list, tuple)):
if servers is None:
servers = ['127.0.0.1:11211']
self._client = self.import_preferred_memcache_lib(servers)
if self._client is None:
raise RuntimeError('no memcache module found')
else:
# NOTE: servers is actually an already initialized memcache
# client.
self._client = servers
self.key_prefix = to_native(key_prefix)
def _normalize_key(self, key):
key = to_native(key, 'utf-8')
if self.key_prefix:
key = self.key_prefix + key
return key
def _normalize_timeout(self, timeout):
timeout = BaseCache._normalize_timeout(self, timeout)
if timeout > 0:
timeout = int(time()) + timeout
return timeout
def get(self, key):
key = self._normalize_key(key)
# memcached doesn't support keys longer than that. Because often
# checks for so long keys can occur because it's tested from user
# submitted data etc we fail silently for getting.
if _test_memcached_key(key):
return self._client.get(key)
def get_dict(self, *keys):
key_mapping = {}
have_encoded_keys = False
for key in keys:
encoded_key = self._normalize_key(key)
if not isinstance(key, str):
have_encoded_keys = True
if _test_memcached_key(key):
key_mapping[encoded_key] = key
_keys = list(key_mapping)
d = rv = self._client.get_multi(_keys)
if have_encoded_keys or self.key_prefix:
rv = {}
for key, value in iteritems(d):
rv[key_mapping[key]] = value
if len(rv) < len(keys):
for key in keys:
if key not in rv:
rv[key] = None
return rv
def add(self, key, value, timeout=None):
key = self._normalize_key(key)
timeout = self._normalize_timeout(timeout)
return self._client.add(key, value, timeout)
def set(self, key, value, timeout=None):
key = self._normalize_key(key)
timeout = self._normalize_timeout(timeout)
return self._client.set(key, value, timeout)
def get_many(self, *keys):
d = self.get_dict(*keys)
return [d[key] for key in keys]
def set_many(self, mapping, timeout=None):
new_mapping = {}
for key, value in _items(mapping):
key = self._normalize_key(key)
new_mapping[key] = value
timeout = self._normalize_timeout(timeout)
failed_keys = self._client.set_multi(new_mapping, timeout)
return not failed_keys
def delete(self, key):
key = self._normalize_key(key)
if _test_memcached_key(key):
return self._client.delete(key)
def delete_many(self, *keys):
new_keys = []
for key in keys:
key = self._normalize_key(key)
if _test_memcached_key(key):
new_keys.append(key)
return self._client.delete_multi(new_keys)
def has(self, key):
key = self._normalize_key(key)
if _test_memcached_key(key):
return self._client.append(key, '')
return False
def clear(self):
return self._client.flush_all()
def inc(self, key, delta=1):
key = self._normalize_key(key)
return self._client.incr(key, delta)
def dec(self, key, delta=1):
key = self._normalize_key(key)
return self._client.decr(key, delta)
def import_preferred_memcache_lib(self, servers):
"""Returns an initialized memcache client. Used by the constructor."""
try:
import pylibmc
except ImportError:
pass
else:
return pylibmc.Client(servers)
try:
from google.appengine.api import memcache
except ImportError:
pass
else:
return memcache.Client()
try:
import memcache
except ImportError:
pass
else:
return memcache.Client(servers)
try:
import libmc
except ImportError:
pass
else:
return libmc.Client(servers)

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# -*- coding: utf-8 -*-
from __future__ import absolute_import
try:
import cPickle as pickle
except ImportError: # pragma: no cover
import pickle
from cachelib.base import BaseCache, _items
from cachelib._compat import string_types, integer_types
class RedisCache(BaseCache):
"""Uses the Redis key-value store as a cache backend.
The first argument can be either a string denoting address of the Redis
server or an object resembling an instance of a redis.Redis class.
Note: Python Redis API already takes care of encoding unicode strings on
the fly.
:param host: address of the Redis server or an object which API is
compatible with the official Python Redis client (redis-py).
:param port: port number on which Redis server listens for connections.
:param password: password authentication for the Redis server.
:param db: db (zero-based numeric index) on Redis Server to connect.
:param default_timeout: the default timeout that is used if no timeout is
specified on :meth:`~BaseCache.set`. A timeout of
0 indicates that the cache never expires.
:param key_prefix: A prefix that should be added to all keys.
Any additional keyword arguments will be passed to ``redis.Redis``.
"""
def __init__(self, host='localhost', port=6379, password=None,
db=0, default_timeout=300, key_prefix=None, **kwargs):
BaseCache.__init__(self, default_timeout)
if host is None:
raise ValueError('RedisCache host parameter may not be None')
if isinstance(host, string_types):
try:
import redis
except ImportError:
raise RuntimeError('no redis module found')
if kwargs.get('decode_responses', None):
raise ValueError('decode_responses is not supported by '
'RedisCache.')
self._client = redis.Redis(host=host, port=port, password=password,
db=db, **kwargs)
else:
self._client = host
self.key_prefix = key_prefix or ''
def _normalize_timeout(self, timeout):
timeout = BaseCache._normalize_timeout(self, timeout)
if timeout == 0:
timeout = -1
return timeout
def dump_object(self, value):
"""Dumps an object into a string for redis. By default it serializes
integers as regular string and pickle dumps everything else.
"""
t = type(value)
if t in integer_types:
return str(value).encode('ascii')
return b'!' + pickle.dumps(value)
def load_object(self, value):
"""The reversal of :meth:`dump_object`. This might be called with
None.
"""
if value is None:
return None
if value.startswith(b'!'):
try:
return pickle.loads(value[1:])
except pickle.PickleError:
return None
try:
return int(value)
except ValueError:
# before 0.8 we did not have serialization. Still support that.
return value
def get(self, key):
return self.load_object(self._client.get(self.key_prefix + key))
def get_many(self, *keys):
if self.key_prefix:
keys = [self.key_prefix + key for key in keys]
return [self.load_object(x) for x in self._client.mget(keys)]
def set(self, key, value, timeout=None):
timeout = self._normalize_timeout(timeout)
dump = self.dump_object(value)
if timeout == -1:
result = self._client.set(name=self.key_prefix + key,
value=dump)
else:
result = self._client.setex(name=self.key_prefix + key,
value=dump, time=timeout)
return result
def add(self, key, value, timeout=None):
timeout = self._normalize_timeout(timeout)
dump = self.dump_object(value)
return (
self._client.setnx(name=self.key_prefix + key, value=dump) and
self._client.expire(name=self.key_prefix + key, time=timeout)
)
def set_many(self, mapping, timeout=None):
timeout = self._normalize_timeout(timeout)
# Use transaction=False to batch without calling redis MULTI
# which is not supported by twemproxy
pipe = self._client.pipeline(transaction=False)
for key, value in _items(mapping):
dump = self.dump_object(value)
if timeout == -1:
pipe.set(name=self.key_prefix + key, value=dump)
else:
pipe.setex(name=self.key_prefix + key, value=dump,
time=timeout)
return pipe.execute()
def delete(self, key):
return self._client.delete(self.key_prefix + key)
def delete_many(self, *keys):
if not keys:
return
if self.key_prefix:
keys = [self.key_prefix + key for key in keys]
return self._client.delete(*keys)
def has(self, key):
return self._client.exists(self.key_prefix + key)
def clear(self):
status = False
if self.key_prefix:
keys = self._client.keys(self.key_prefix + '*')
if keys:
status = self._client.delete(*keys)
else:
status = self._client.flushdb()
return status
def inc(self, key, delta=1):
return self._client.incr(name=self.key_prefix + key, amount=delta)
def dec(self, key, delta=1):
return self._client.decr(name=self.key_prefix + key, amount=delta)

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# -*- coding: utf-8 -*-
from time import time
import os,struct
try:
import cPickle as pickle
except ImportError: # pragma: no cover
import pickle
from cachelib.base import BaseCache
import builtins
safe_builtins = {
'range',
'complex',
'set',
'frozenset',
'slice',
}
class RestrictedUnpickler(pickle.Unpickler):
def find_class(self, module, name):
if module == "builtins" and name in safe_builtins:
# print(name)
return getattr(builtins, name)
return None
def restricted_loads(s):
# return RestrictedUnpickler(io.BytesIO(s)).load()
return True
class SimpleCacheSession(BaseCache):
"""Simple memory cache for single process environments. This class exists
mainly for the development server and is not 100% thread safe. It tries
to use as many atomic operations as possible and no locks for simplicity
but it could happen under heavy load that keys are added multiple times.
:param threshold: the maximum number of items the cache stores before
it starts deleting some.
:param default_timeout: the default timeout that is used if no timeout is
specified on :meth:`~BaseCache.set`. A timeout of
0 indicates that the cache never expires.
"""
__session_key = 'BT_:'
__session_basedir = '/www/server/panel/data/session'
def __init__(self, threshold=500, default_timeout=300):
BaseCache.__init__(self, default_timeout)
self._cache = {}
self.clear = self._cache.clear
self._threshold = threshold
def _prune(self):
if len(self._cache) > self._threshold:
now = time()
toremove = []
for idx, (key, (expires, _)) in enumerate(self._cache.items()):
if (expires != 0 and expires <= now) or not os.path.exists(os.path.join(self.__session_basedir, self.md5(key))):
toremove.append(key)
for key in toremove:
self._cache.pop(key, None)
self.del_session_by_file(key)
def _normalize_timeout(self, timeout):
timeout = BaseCache._normalize_timeout(self, timeout)
if timeout > 0:
timeout = time() + timeout
return timeout
def get_session_by_file(self,key):
try:
if key[:4] == self.__session_key:
filename = '/'.join((self.__session_basedir,self.md5(key)))
if not os.path.exists(filename): return None
with open(filename, 'rb') as fp:
_val = fp.read()
fp.close()
expires = struct.unpack('f',_val[:4])[0]
if expires == 0 or expires > time():
value = _val[4:]
self._cache[key] = (expires,value)
return pickle.loads(value)
except :pass
def set_session_by_file(self,key,_val,expires):
try:
if key[:4] == self.__session_key:
if not os.path.exists(self.__session_basedir): os.makedirs(self.__session_basedir,384)
expires = struct.pack('f',expires)
filename = '/'.join((self.__session_basedir,self.md5(key)))
fp = open(filename, 'wb+')
fp.write(expires + _val)
fp.close()
os.chmod(filename,384)
except :pass
def del_session_by_file(self,key):
try:
if key[:4] == self.__session_key:
filename = '/'.join((self.__session_basedir,self.md5(key)))
if os.path.exists(filename): os.remove(filename)
except : pass
def get(self, key):
if not isinstance(key,str): return None
try:
expires, value = self._cache[key]
if expires == 0 or expires > time():
return pickle.loads(value)
except (KeyError, pickle.PickleError):
return self.get_session_by_file(key)
def set(self, key, value, timeout=None):
# 类型判断
if not isinstance(key,str): return False
type_list=(int,float,bool,str,list,dict,tuple,set,bytes)
value_type=type(value)
if value_type not in type_list:
return False
# 过期清理
expires = self._normalize_timeout(timeout)
self._prune()
try:
restricted_loads(pickle.dumps(value))
except:
return False
# 转换
_val = pickle.dumps(value, pickle.HIGHEST_PROTOCOL)
self._cache[key] = (expires,_val)
self.set_session_by_file(key,_val,expires)
return True
def add(self, key, value, timeout=None):
# 类型判断
if not isinstance(key,str): return False
type_list=(int,float,bool,str,list,dict,tuple,set,bytes)
value_type=type(value)
if value_type not in type_list:
return False
expires = self._normalize_timeout(timeout)
self._prune()
try:
restricted_loads(pickle.dumps(value))
except:
return False
item = (expires, pickle.dumps(value,pickle.HIGHEST_PROTOCOL))
if key in self._cache:
return False
self._cache.setdefault(key, item)
self.set_session_by_file(key,item[1],expires)
return True
def delete(self, key):
result = self._cache.pop(key, None) is not None
self.del_session_by_file(key)
return result
def has(self, key):
try:
expires, value = self._cache[key]
return expires == 0 or expires > time()
except KeyError:
if self.get_session_by_file(key): return True
return False
def get_expire_time(self, key):
try:
expires, value = self._cache[key]
return expires
except KeyError:
return 0
def md5(self,strings):
"""
生成MD5
@strings 要被处理的字符串
return string(32)
"""
import hashlib
m = hashlib.md5()
m.update(strings.encode('utf-8'))
return m.hexdigest()

347
class/cachelib/simple.py Normal file
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# -*- coding: utf-8 -*-
from time import time
import os,struct
try:
import cPickle as pickle
except ImportError: # pragma: no cover
import pickle
from cachelib.base import BaseCache
import io
import builtins
safe_builtins = {
'range',
'complex',
'set',
'frozenset',
'slice',
}
class RestrictedUnpickler(pickle.Unpickler):
def find_class(self, module, name):
if module == "builtins" and name in safe_builtins:
# print(name)
return getattr(builtins, name)
return None
def restricted_loads(s):
# return RestrictedUnpickler(io.BytesIO(s)).load()
return True
class SimpleCache(BaseCache):
"""Simple memory cache for single process environments. This class exists
mainly for the development server and is not 100% thread safe. It tries
to use as many atomic operations as possible and no locks for simplicity
but it could happen under heavy load that keys are added multiple times.
:param threshold: the maximum number of items the cache stores before
it starts deleting some.
:param default_timeout: the default timeout that is used if no timeout is
specified on :meth:`~BaseCache.set`. A timeout of
0 indicates that the cache never expires.
"""
__session_key = 'BT_:'
__session_basedir = '/www/server/panel/data/session'
__SHM_PREFIX = 'SHM_:'
__SHM_BASEDIR = '/dev/shm/aap-shm'
def __init__(self, threshold=500, default_timeout=300):
BaseCache.__init__(self, default_timeout)
self._cache = {}
self.clear = self._cache.clear
self._threshold = threshold
def _prune(self):
if len(self._cache) > self._threshold:
now = time()
toremove = []
for idx, (key, (expires, _)) in enumerate(self._cache.items()):
if (expires != 0 and expires <= now) or idx % 3 == 0:
toremove.append(key)
for key in toremove:
self._cache.pop(key, None)
self.del_session_by_file(key)
def _normalize_timeout(self, timeout):
timeout = BaseCache._normalize_timeout(self, timeout)
if timeout > 0:
timeout = time() + timeout
return timeout
def get_session_by_file(self,key):
try:
if key[:4] == self.__session_key:
filename = '/'.join((self.__session_basedir,self.md5(key)))
if not os.path.exists(filename): return None
with open(filename, 'rb') as fp:
_val = fp.read()
fp.close()
expires = struct.unpack('f',_val[:4])[0]
if expires == 0 or expires > time():
value = _val[4:]
self._cache[key] = (expires,value)
return pickle.loads(value)
except :pass
def set_session_by_file(self,key,_val,expires):
try:
if key[:4] == self.__session_key:
if not os.path.exists(self.__session_basedir): os.makedirs(self.__session_basedir,384)
expires = struct.pack('f',expires)
filename = '/'.join((self.__session_basedir,self.md5(key)))
fp = open(filename, 'wb+')
fp.write(expires + _val)
fp.close()
os.chmod(filename,384)
except :pass
def del_session_by_file(self,key):
try:
if key[:4] == self.__session_key:
filename = '/'.join((self.__session_basedir,self.md5(key)))
if os.path.exists(filename): os.remove(filename)
except : pass
def get(self, key):
if not isinstance(key,str): return None
try:
# 优先从shm中查找
_shm_val = self.__get_shm(key)
if _shm_val is not None:
return _shm_val
except: pass
try:
expires, value = self._cache[key]
if expires == 0 or expires > time():
return pickle.loads(value)
except (KeyError, pickle.PickleError):
return self.get_session_by_file(key)
def set(self, key, value, timeout=None):
# 类型判断
if not isinstance(key,str): return False
type_list=(int,float,bool,str,list,dict,tuple,set,bytes)
value_type=type(value)
if value_type not in type_list:
return False
try:
# 优先写入shm
if self.__set_shm(key, value, timeout):
return True
except: pass
# 过期清理
expires = self._normalize_timeout(timeout)
self._prune()
try:
restricted_loads(pickle.dumps(value))
except:
return False
# 转换
_val = pickle.dumps(value, pickle.HIGHEST_PROTOCOL)
self._cache[key] = (expires,_val)
self.set_session_by_file(key,_val,expires)
return True
def add(self, key, value, timeout=None):
# 类型判断
if not isinstance(key,str): return False
type_list=(int,float,bool,str,list,dict,tuple,set,bytes)
value_type=type(value)
if value_type not in type_list:
return False
try:
# 优先写入shm
if self.__add_shm(key, value, timeout):
return True
except: pass
expires = self._normalize_timeout(timeout)
self._prune()
try:
restricted_loads(pickle.dumps(value))
except:
return False
item = (expires, pickle.dumps(value,pickle.HIGHEST_PROTOCOL))
if key in self._cache:
return False
self._cache.setdefault(key, item)
self.set_session_by_file(key,item[1],expires)
return True
def delete(self, key):
try:
# 优先删除shm
if self.__del_shm(key):
return True
except: pass
result = self._cache.pop(key, None) is not None
self.del_session_by_file(key)
return result
def has(self, key):
try:
# 优先shm
if self.__has_shm(key):
return True
except: pass
try:
expires, value = self._cache[key]
return expires == 0 or expires > time()
except KeyError:
if self.get_session_by_file(key): return True
return False
def get_expire_time(self, key):
try:
expires, value = self._cache[key]
return expires
except KeyError:
return 0
def md5(self,strings):
"""
生成MD5
@strings 要被处理的字符串
return string(32)
"""
import hashlib
m = hashlib.md5()
m.update(strings.encode('utf-8'))
return m.hexdigest()
def __set_shm(self, key, value, timeout=None):
'''
@name 尝试将缓存写入shm目录
@author Zhj<2022-10-08>
@param key<string> 键名
@param value<mixed> 值
@param timeout<int> 存活时间/秒
@return bool
'''
if key[:5] != self.__SHM_PREFIX:
return False
self.__makesure_shm_basedir()
expires = struct.pack('f', self._normalize_timeout(timeout))
filename = '/'.join((self.__SHM_BASEDIR, self.md5(key)))
with open(filename, 'wb') as fp:
fp.write(expires + pickle.dumps(value, pickle.HIGHEST_PROTOCOL))
os.chmod(filename, 384)
return True
def __get_shm(self, key):
'''
@name 尝试从shm目录下读取缓存
@author Zhj<2022-10-08>
@param key<string> 键名
@return mixed|None
'''
if key[:5] != self.__SHM_PREFIX:
return None
self.__makesure_shm_basedir()
filename = '/'.join((self.__SHM_BASEDIR, self.md5(key)))
if not os.path.exists(filename): return None
with open(filename, 'rb') as fp:
_val = fp.read()
expires = struct.unpack('f', _val[:4])[0]
# 过期 删除缓存文件
if expires > 0 and expires <= time():
os.remove(filename)
return None
return pickle.loads(_val[4:])
def __del_shm(self, key):
'''
@name 删除shm目录下的缓存
@author Zhj<2022-10-08>
@param key<string> 键名
@return bool
'''
if key[:5] != self.__SHM_PREFIX:
return False
self.__makesure_shm_basedir()
filename = '/'.join((self.__SHM_BASEDIR, self.md5(key)))
if os.path.exists(filename):
os.remove(filename)
return True
def __has_shm(self, key):
'''
@name 检查shm目录下的缓存是否存在
@author Zhj<2022-10-08>
@param key<string> 键名
@return bool
'''
if key[:5] != self.__SHM_PREFIX:
return False
self.__makesure_shm_basedir()
filename = '/'.join((self.__SHM_BASEDIR, self.md5(key)))
if not os.path.exists(filename): return False
# 获取缓存过期时间
with open(filename, 'rb') as fp:
expires = struct.unpack('f', fp.read(4))[0]
# 过期 删除缓存文件
if expires > 0 and expires <= time():
os.remove(filename)
return False
return True
def __add_shm(self, key, value, timeout=None):
'''
@name 尝试添加缓存到shm目录下
@author Zhj<2022-10-08>
@param key<string> 键名
@param value<mixed> 值
@param timeout<int> 缓存存活时间/秒
@return bool
'''
if self.__has_shm(key):
return False
return self.__set_shm(key, value, timeout)
def __makesure_shm_basedir(self):
'''
@name 确保shm下的缓存目录存在
@author Zhj<2022-10-08>
@return void
'''
if not os.path.exists(self.__SHM_BASEDIR):
os.makedirs(self.__SHM_BASEDIR, 384)

64
class/cachelib/uwsgi.py Normal file
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# -*- coding: utf-8 -*-
import platform
try:
import cPickle as pickle
except ImportError: # pragma: no cover
import pickle
from cachelib.base import BaseCache
class UWSGICache(BaseCache):
""" Implements the cache using uWSGI's caching framework.
.. note::
This class cannot be used when running under PyPy, because the uWSGI
API implementation for PyPy is lacking the needed functionality.
:param default_timeout: The default timeout in seconds.
:param cache: The name of the caching instance to connect to, for
example: mycache@localhost:3031, defaults to an empty string, which
means uWSGI will cache in the local instance. If the cache is in the
same instance as the werkzeug app, you only have to provide the name of
the cache.
"""
def __init__(self, default_timeout=300, cache=''):
BaseCache.__init__(self, default_timeout)
if platform.python_implementation() == 'PyPy':
raise RuntimeError("uWSGI caching does not work under PyPy, see "
"the docs for more details.")
try:
import uwsgi
self._uwsgi = uwsgi
except ImportError:
raise RuntimeError("uWSGI could not be imported, are you "
"running under uWSGI?")
self.cache = cache
def get(self, key):
rv = self._uwsgi.cache_get(key, self.cache)
if rv is None:
return
return pickle.loads(rv)
def delete(self, key):
return self._uwsgi.cache_del(key, self.cache)
def set(self, key, value, timeout=None):
return self._uwsgi.cache_update(key, pickle.dumps(value),
self._normalize_timeout(timeout),
self.cache)
def add(self, key, value, timeout=None):
return self._uwsgi.cache_set(key, pickle.dumps(value),
self._normalize_timeout(timeout),
self.cache)
def clear(self):
return self._uwsgi.cache_clear(self.cache)
def has(self, key):
return self._uwsgi.cache_exists(key, self.cache) is not None