/usr/share/pyshared/tweepy/cache.py is in python-tweepy 2.3-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# Copyright 2009-2010 Joshua Roesslein
# See LICENSE for details.
import time
import datetime
import threading
import os
try:
import cPickle as pickle
except ImportError:
import pickle
try:
import hashlib
except ImportError:
# python 2.4
import md5 as hashlib
try:
import fcntl
except ImportError:
# Probably on a windows system
# TODO: use win32file
pass
class Cache(object):
"""Cache interface"""
def __init__(self, timeout=60):
"""Initialize the cache
timeout: number of seconds to keep a cached entry
"""
self.timeout = timeout
def store(self, key, value):
"""Add new record to cache
key: entry key
value: data of entry
"""
raise NotImplementedError
def get(self, key, timeout=None):
"""Get cached entry if exists and not expired
key: which entry to get
timeout: override timeout with this value [optional]
"""
raise NotImplementedError
def count(self):
"""Get count of entries currently stored in cache"""
raise NotImplementedError
def cleanup(self):
"""Delete any expired entries in cache."""
raise NotImplementedError
def flush(self):
"""Delete all cached entries"""
raise NotImplementedError
class MemoryCache(Cache):
"""In-memory cache"""
def __init__(self, timeout=60):
Cache.__init__(self, timeout)
self._entries = {}
self.lock = threading.Lock()
def __getstate__(self):
# pickle
return {'entries': self._entries, 'timeout': self.timeout}
def __setstate__(self, state):
# unpickle
self.lock = threading.Lock()
self._entries = state['entries']
self.timeout = state['timeout']
def _is_expired(self, entry, timeout):
return timeout > 0 and (time.time() - entry[0]) >= timeout
def store(self, key, value):
self.lock.acquire()
self._entries[key] = (time.time(), value)
self.lock.release()
def get(self, key, timeout=None):
self.lock.acquire()
try:
# check to see if we have this key
entry = self._entries.get(key)
if not entry:
# no hit, return nothing
return None
# use provided timeout in arguments if provided
# otherwise use the one provided during init.
if timeout is None:
timeout = self.timeout
# make sure entry is not expired
if self._is_expired(entry, timeout):
# entry expired, delete and return nothing
del self._entries[key]
return None
# entry found and not expired, return it
return entry[1]
finally:
self.lock.release()
def count(self):
return len(self._entries)
def cleanup(self):
self.lock.acquire()
try:
for k, v in self._entries.items():
if self._is_expired(v, self.timeout):
del self._entries[k]
finally:
self.lock.release()
def flush(self):
self.lock.acquire()
self._entries.clear()
self.lock.release()
class FileCache(Cache):
"""File-based cache"""
# locks used to make cache thread-safe
cache_locks = {}
def __init__(self, cache_dir, timeout=60):
Cache.__init__(self, timeout)
if os.path.exists(cache_dir) is False:
os.mkdir(cache_dir)
self.cache_dir = cache_dir
if cache_dir in FileCache.cache_locks:
self.lock = FileCache.cache_locks[cache_dir]
else:
self.lock = threading.Lock()
FileCache.cache_locks[cache_dir] = self.lock
if os.name == 'posix':
self._lock_file = self._lock_file_posix
self._unlock_file = self._unlock_file_posix
elif os.name == 'nt':
self._lock_file = self._lock_file_win32
self._unlock_file = self._unlock_file_win32
else:
print('Warning! FileCache locking not supported on this system!')
self._lock_file = self._lock_file_dummy
self._unlock_file = self._unlock_file_dummy
def _get_path(self, key):
md5 = hashlib.md5()
md5.update(key)
return os.path.join(self.cache_dir, md5.hexdigest())
def _lock_file_dummy(self, path, exclusive=True):
return None
def _unlock_file_dummy(self, lock):
return
def _lock_file_posix(self, path, exclusive=True):
lock_path = path + '.lock'
if exclusive is True:
f_lock = open(lock_path, 'w')
fcntl.lockf(f_lock, fcntl.LOCK_EX)
else:
f_lock = open(lock_path, 'r')
fcntl.lockf(f_lock, fcntl.LOCK_SH)
if os.path.exists(lock_path) is False:
f_lock.close()
return None
return f_lock
def _unlock_file_posix(self, lock):
lock.close()
def _lock_file_win32(self, path, exclusive=True):
# TODO: implement
return None
def _unlock_file_win32(self, lock):
# TODO: implement
return
def _delete_file(self, path):
os.remove(path)
if os.path.exists(path + '.lock'):
os.remove(path + '.lock')
def store(self, key, value):
path = self._get_path(key)
self.lock.acquire()
try:
# acquire lock and open file
f_lock = self._lock_file(path)
datafile = open(path, 'wb')
# write data
pickle.dump((time.time(), value), datafile)
# close and unlock file
datafile.close()
self._unlock_file(f_lock)
finally:
self.lock.release()
def get(self, key, timeout=None):
return self._get(self._get_path(key), timeout)
def _get(self, path, timeout):
if os.path.exists(path) is False:
# no record
return None
self.lock.acquire()
try:
# acquire lock and open
f_lock = self._lock_file(path, False)
datafile = open(path, 'rb')
# read pickled object
created_time, value = pickle.load(datafile)
datafile.close()
# check if value is expired
if timeout is None:
timeout = self.timeout
if timeout > 0 and (time.time() - created_time) >= timeout:
# expired! delete from cache
value = None
self._delete_file(path)
# unlock and return result
self._unlock_file(f_lock)
return value
finally:
self.lock.release()
def count(self):
c = 0
for entry in os.listdir(self.cache_dir):
if entry.endswith('.lock'):
continue
c += 1
return c
def cleanup(self):
for entry in os.listdir(self.cache_dir):
if entry.endswith('.lock'):
continue
self._get(os.path.join(self.cache_dir, entry), None)
def flush(self):
for entry in os.listdir(self.cache_dir):
if entry.endswith('.lock'):
continue
self._delete_file(os.path.join(self.cache_dir, entry))
class MemCacheCache(Cache):
"""Cache interface"""
def __init__(self, client, timeout=60):
"""Initialize the cache
client: The memcache client
timeout: number of seconds to keep a cached entry
"""
self.client = client
self.timeout = timeout
def store(self, key, value):
"""Add new record to cache
key: entry key
value: data of entry
"""
self.client.set(key, value, time=self.timeout)
def get(self, key, timeout=None):
"""Get cached entry if exists and not expired
key: which entry to get
timeout: override timeout with this value [optional]. DOES NOT WORK HERE
"""
return self.client.get(key)
def count(self):
"""Get count of entries currently stored in cache. RETURN 0"""
raise NotImplementedError
def cleanup(self):
"""Delete any expired entries in cache. NO-OP"""
raise NotImplementedError
def flush(self):
"""Delete all cached entries. NO-OP"""
raise NotImplementedError
class RedisCache(Cache):
'''Cache running in a redis server'''
def __init__(self, client, timeout=60, keys_container = 'tweepy:keys', pre_identifier = 'tweepy:'):
Cache.__init__(self, timeout)
self.client = client
self.keys_container = keys_container
self.pre_identifier = pre_identifier
def _is_expired(self, entry, timeout):
# Returns true if the entry has expired
return timeout > 0 and (time.time() - entry[0]) >= timeout
def store(self, key, value):
'''Store the key, value pair in our redis server'''
# Prepend tweepy to our key, this makes it easier to identify tweepy keys in our redis server
key = self.pre_identifier + key
# Get a pipe (to execute several redis commands in one step)
pipe = self.client.pipeline()
# Set our values in a redis hash (similar to python dict)
pipe.set(key, pickle.dumps((time.time(), value)))
# Set the expiration
pipe.expire(key, self.timeout)
# Add the key to a set containing all the keys
pipe.sadd(self.keys_container, key)
# Execute the instructions in the redis server
pipe.execute()
def get(self, key, timeout=None):
'''Given a key, returns an element from the redis table'''
key = self.pre_identifier + key
# Check to see if we have this key
unpickled_entry = self.client.get(key)
if not unpickled_entry:
# No hit, return nothing
return None
entry = pickle.loads(unpickled_entry)
# Use provided timeout in arguments if provided
# otherwise use the one provided during init.
if timeout is None:
timeout = self.timeout
# Make sure entry is not expired
if self._is_expired(entry, timeout):
# entry expired, delete and return nothing
self.delete_entry(key)
return None
# entry found and not expired, return it
return entry[1]
def count(self):
'''Note: This is not very efficient, since it retreives all the keys from the redis
server to know how many keys we have'''
return len(self.client.smembers(self.keys_container))
def delete_entry(self, key):
'''Delete an object from the redis table'''
pipe = self.client.pipeline()
pipe.srem(self.keys_container, key)
pipe.delete(key)
pipe.execute()
def cleanup(self):
'''Cleanup all the expired keys'''
keys = self.client.smembers(self.keys_container)
for key in keys:
entry = self.client.get(key)
if entry:
entry = pickle.loads(entry)
if self._is_expired(entry, self.timeout):
self.delete_entry(key)
def flush(self):
'''Delete all entries from the cache'''
keys = self.client.smembers(self.keys_container)
for key in keys:
self.delete_entry(key)
class MongodbCache(Cache):
"""A simple pickle-based MongoDB cache sytem."""
def __init__(self, db, timeout=3600, collection='tweepy_cache'):
"""Should receive a "database" cursor from pymongo."""
Cache.__init__(self, timeout)
self.timeout = timeout
self.col = db[collection]
self.col.create_index('created', expireAfterSeconds=timeout)
def store(self, key, value):
from bson.binary import Binary
now = datetime.datetime.utcnow()
blob = Binary(pickle.dumps(value))
self.col.insert({'created': now, '_id': key, 'value': blob})
def get(self, key, timeout=None):
if timeout:
raise NotImplementedError
obj = self.col.find_one({'_id': key})
if obj:
return pickle.loads(obj['value'])
def count(self):
return self.col.find({}).count()
def delete_entry(self, key):
return self.col.remove({'_id': key})
def cleanup(self):
"""MongoDB will automatically clear expired keys."""
pass
def flush(self):
self.col.drop()
self.col.create_index('created', expireAfterSeconds=self.timeout)
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