Files
entropy/lib/entropy/cache.py
2011-10-17 14:27:58 +02:00

588 lines
20 KiB
Python

# -*- coding: utf-8 -*-
"""
@author: Fabio Erculiani <lxnay@sabayon.org>
@contact: lxnay@sabayon.org
@copyright: Fabio Erculiani
@license: GPL-2
B{Entropy Framework cache module}.
This module contains the Entropy, asynchronous caching logic.
It is not meant to handle cache pollution management, because
this is either handled implicitly when cached items are pulled
in or by using entropy.dump or cache cleaners (see
entropy.client.interfaces.cache mixin methods)
"""
import os
import errno
import sys
import tempfile
import atexit
from entropy.const import etpConst, etpUi, const_debug_write, \
const_pid_exists, const_setup_perms
from entropy.core import Singleton
from entropy.misc import TimeScheduled, Lifo
import time
import threading
import copy
import entropy.dump
import entropy.tools
class EntropyCacher(Singleton):
CACHE_IDS = {
'db_match': 'match/db',
'dep_tree': 'deptree/dep_tree_',
'atom_match': 'atom_match/atom_match_',
'world_update': 'world_update/world_cache_',
'critical_update': 'critical_update/critical_cache_',
'world_available': 'world_available/available_cache_',
'world_masked': 'world_available/masked_cache_',
'check_package_update': 'check_update/package_update_',
'depends_tree': 'depends/depends_tree_',
'filter_satisfied_deps': 'depfilter/filter_satisfied_deps_',
'library_breakage': 'libs_break/library_breakage_',
'mask_filter': 'match/mask_filter',
}
# Max amount of processes to spawn
_PROC_LIMIT = 10
# Max number of cache objects written at once
_OBJS_WRITTEN_AT_ONCE = 250
# Number of seconds between cache writeback to disk
WRITEBACK_TIMEOUT = 5
"""
Entropy asynchronous and synchronous cache writer
and reader. This class is a Singleton and contains
a thread doing the cache writes asynchronously, thus
it must be stopped before your application is terminated
calling the stop() method.
Sample code:
>>> # import module
>>> from entropy.cache import EntropyCacher
...
>>> # first EntropyCacher load, start it
>>> cacher = EntropyCacher()
>>> cacher.start()
...
>>> # now store something into its cache
>>> cacher.push('my_identifier1', [1, 2, 3])
>>> # now store something synchronously
>>> cacher.push('my_identifier2', [1, 2, 3], async = False)
...
>>> # now flush all the caches to disk, and make sure all
>>> # is written
>>> cacher.sync()
...
>>> # now fetch something from the cache
>>> data = cacher.pop('my_identifier1')
[1, 2, 3]
...
>>> # now discard all the cached (async) writes
>>> cacher.discard()
...
>>> # and stop EntropyCacher
>>> cacher.stop()
"""
def init_singleton(self):
"""
Singleton overloaded method. Equals to __init__.
This is the place where all the properties initialization
takes place.
"""
self.__exit_registered = False
self.__copy = copy
self.__alive = False
self.__cache_writer = None
self.__cache_buffer = Lifo()
self.__stashing_cache = {}
self.__inside_with_stmt = 0
self.__proc_pids = set()
self.__proc_pids_lock = threading.Lock()
self.__dump_data_lock = threading.Lock()
# this lock ensures that all the writes are hold while it's acquired
self.__enter_context_lock = threading.RLock()
def __enter__(self):
"""
When used with the with statement, pause cacher on-disk writes.
"""
self.__enter_context_lock.acquire()
self.__inside_with_stmt += 1
def __exit__(self, exc_type, exc_value, traceback):
"""
When used with the with statement, pause cacher on-disk writes.
"""
self.__inside_with_stmt -= 1
self.__enter_context_lock.release()
def __copy_obj(self, obj):
"""
Return a copy of an object done by the standard
library "copy" module.
@param obj: object to copy
@type obj: any Python object
@rtype: copied object
@return: copied object
"""
return self.__copy.deepcopy(obj)
def __clean_pids(self):
with self.__proc_pids_lock:
dead_pids = set()
for pid in self.__proc_pids:
try:
dead = os.waitpid(pid, os.WNOHANG)[0]
except OSError as err:
if err.errno != errno.ECHILD:
raise
dead = True
if dead:
dead_pids.add(pid)
elif not const_pid_exists(pid):
dead_pids.add(pid)
if dead_pids:
self.__proc_pids.difference_update(dead_pids)
def __wait_cacher_semaphore(self):
self.__clean_pids()
while len(self.__proc_pids) > EntropyCacher._PROC_LIMIT:
if etpUi['debug']:
const_debug_write(__name__,
"EntropyCacher.__wait_cacher_semaphore: too many pids")
time.sleep(0.1)
self.__clean_pids()
def __cacher(self, run_until_empty = False, sync = False):
"""
This is where the actual asynchronous copy takes
place. __cacher runs on a different threads and
all the operations done by this are atomic and
thread-safe. It just loops over and over until
__alive becomes False.
"""
try:
if self.__inside_with_stmt != 0:
return
except AttributeError:
# interpreter shutdown
pass
# make sure our set delay is respected
try:
self.__cache_writer.set_delay(EntropyCacher.WRITEBACK_TIMEOUT)
except AttributeError:
# can be None
pass
while self.__alive or run_until_empty:
if etpUi['debug']:
const_debug_write(__name__,
"EntropyCacher.__cacher: loop, alive: %s, empty: %s" % (
self.__alive, run_until_empty,))
with self.__enter_context_lock:
massive_data = []
try:
massive_data_count = EntropyCacher._OBJS_WRITTEN_AT_ONCE
except AttributeError: # interpreter shutdown
break
while massive_data_count > 0:
massive_data_count -= 1
try:
data = self.__cache_buffer.pop()
except (ValueError, TypeError,):
# TypeError is when objects are being destroyed
break # stack empty
massive_data.append(data)
# this must stay before massive_data to make sure to clean
# every defunct process
self.__wait_cacher_semaphore()
if not massive_data:
break
pid = os.fork()
if pid == 0:
# make sure there's nothing weird bound to exception hook
sys.excepthook = sys.__excepthook__
for (key, cache_dir), data in massive_data:
d_o = entropy.dump.dumpobj
if d_o is not None:
d_o(key, data, dump_dir = cache_dir)
os._exit(0)
else:
if etpUi['debug']:
const_debug_write(__name__,
"EntropyCacher.__cacher [%s], writing %s objs" % (
pid, len(massive_data),))
with self.__proc_pids_lock:
self.__proc_pids.add(pid)
if sync:
try:
os.waitpid(pid, 0)
except OSError as err:
if err.errno != errno.ECHILD:
raise
for (key, cache_dir), data in massive_data:
try:
del self.__stashing_cache[(key, cache_dir)]
except (AttributeError, KeyError,):
continue
del massive_data[:]
del massive_data
def __del__(self):
self.stop()
@staticmethod
def current_directory():
"""
Return the path to current EntropyCacher cache storage directory.
"""
return entropy.dump.D_DIR
def start(self):
"""
This is the method used to start the asynchronous cache
writer but also the whole cacher. If this method is not
called, the instance will always trash and cache write
request.
@return: None
"""
# If EntropyCacher is started, its thread could hang a the process
# termination phase. So, register an exit handler against Python
if not self.__exit_registered:
def _stop_cacher():
EntropyCacher().stop()
atexit.register(_stop_cacher)
self.__exit_registered = True
self.__cache_buffer.clear()
self.__cache_writer = TimeScheduled(EntropyCacher.WRITEBACK_TIMEOUT,
self.__cacher)
self.__cache_writer.daemon = True
self.__cache_writer.setName("EntropyCacher")
self.__cache_writer.set_delay_before(True)
self.__cache_writer.start()
while not self.__cache_writer.isAlive():
continue
self.__alive = True
def is_started(self):
"""
Return whether start is called or not. This equals to
checking if the cacher is running, thus is writing cache
to disk.
@return: None
"""
return self.__alive
def stop(self):
"""
This method stops the execution of the cacher, which won't
accept cache writes anymore. The thread responsible of writing
to disk is stopped here and the Cacher will be back to being
inactive. A watchdog will avoid the thread to freeze the
call if the write buffer is overloaded.
@return: None
"""
self.__alive = False
if self.__cache_writer is not None:
self.__cache_writer.kill()
self.__cache_writer.join()
self.__cache_writer = None
self.sync()
def sync(self):
"""
This method can be called anytime and forces the instance
to flush all the cache writes queued to disk. If wait == False
a watchdog prevents this call to get stuck in case of write
buffer overloads.
"""
self.__cacher(run_until_empty = True, sync = True)
def discard(self):
"""
This method makes buffered cache to be discarded synchronously.
@return: None
"""
self.__cache_buffer.clear()
self.__stashing_cache.clear()
def save(self, key, data, cache_dir = None):
"""
Save data object to cache asynchronously and in any case.
This method guarantees that cached data is stored even if cacher
is not started. If data cannot be stored, IOError will be raised.
@param key: cache data identifier
@type key: string
@param data: picklable object
@type data: any picklable object
@keyword cache_dir: alternative cache directory
@type cache_dir: string
"""
if cache_dir is None:
cache_dir = EntropyCacher.current_directory()
try:
with self.__dump_data_lock:
entropy.dump.dumpobj(key, data, dump_dir = cache_dir,
ignore_exceptions = False)
except (EOFError, IOError, OSError) as err:
raise IOError("cannot store %s to %s. err: %s" % (
key, cache_dir, repr(err)))
def push(self, key, data, async = True, cache_dir = None):
"""
This is the place where data is either added
to the write queue or written to disk (if async == False)
only and only if start() method has been called.
@param key: cache data identifier
@type key: string
@param data: picklable object
@type data: any picklable object
@keyword async: store cache asynchronously or not
@type async: bool
@keyword cache_dir: alternative cache directory
@type cache_dir: string
"""
if not self.__alive:
return
if cache_dir is None:
cache_dir = EntropyCacher.current_directory()
if async:
try:
obj_copy = self.__copy_obj(data)
self.__cache_buffer.push(((key, cache_dir,), obj_copy,))
self.__stashing_cache[(key, cache_dir)] = obj_copy
except TypeError:
# sometimes, very rarely, copy.deepcopy() is unable
# to properly copy an object (blame Python bug)
sys.stdout.write("!!! cannot cache object with key %s\n" % (
key,))
sys.stdout.flush()
#if etpUi['debug']:
# const_debug_write(__name__,
# "EntropyCacher.push, async push %s, into %s" % (
# key, cache_dir,))
else:
#if etpUi['debug']:
# const_debug_write(__name__,
# "EntropyCacher.push, sync push %s, into %s" % (
# key, cache_dir,))
with self.__dump_data_lock:
entropy.dump.dumpobj(key, data, dump_dir = cache_dir)
def pop(self, key, cache_dir = None):
"""
This is the place where data is retrieved from cache.
You must know the cache identifier used when push()
was called.
@param key: cache data identifier
@type key: string
@keyword cache_dir: alternative cache directory
@type cache_dir: string
@rtype: Python object
@return: object stored into the stack or None (if stack is empty)
"""
if cache_dir is None:
cache_dir = EntropyCacher.current_directory()
# object is being saved on disk, it's in RAM atm
ram_obj = self.__stashing_cache.get((key, cache_dir))
if ram_obj is not None:
return ram_obj
l_o = entropy.dump.loadobj
if not l_o:
return
return l_o(key, dump_dir = cache_dir)
@staticmethod
def clear_cache_item(cache_item, cache_dir = None):
"""
Clear Entropy Cache item from on-disk cache.
@param cache_item: Entropy Cache item identifier
@type cache_item: string
@keyword cache_dir: alternative cache directory
@type cache_dir: string
"""
if cache_dir is None:
cache_dir = EntropyCacher.current_directory()
dump_path = os.path.join(cache_dir, cache_item)
dump_dir = os.path.dirname(dump_path)
for currentdir, subdirs, files in os.walk(dump_dir):
path = os.path.join(dump_dir, currentdir)
for item in files:
if item.endswith(entropy.dump.D_EXT):
item = os.path.join(path, item)
try:
os.remove(item)
except (OSError, IOError,):
pass
try:
if not os.listdir(path):
os.rmdir(path)
except (OSError, IOError,):
pass
@staticmethod
def clear_cache(excluded_items = None, cache_dir = None):
"""
Clear all the on-disk cache items included in EntropyCacher.CACHE_IDS.
@keyword excluded_items: list of items to exclude from cleaning
@type excluded_items: list
@keyword cache_dir: alternative cache directory
@type cache_dir: string
"""
if excluded_items is None:
excluded_items = []
for key, value in EntropyCacher.CACHE_IDS.items():
if key in excluded_items:
continue
EntropyCacher.clear_cache_item(value, cache_dir = cache_dir)
class MtimePingus(object):
"""
This class can be used to store on-disk mtime of executed calls. This can
be handy for cache expiration validation.
Example of usage:
>>> from entropy.cache import MtimePingus
>>> pingus = MtimePingus()
>>> pingus.ping("my_action_string")
>>> pingus.pong("my_action_string)
19501230123.0
>>> pingus.hours_passed("my_action_string", 3)
False
>>> pingus.minutes_passed("my_action_string", 60)
False
>>> pingus seconds_passed("my_action_string", 15)
False
"""
PINGUS_DIR = os.path.join(etpConst['entropyworkdir'], "pingus_cache")
def __init__(self):
object.__init__(self)
self.__dump_lock = threading.Lock()
try:
if not os.path.isdir(MtimePingus.PINGUS_DIR):
os.makedirs(MtimePingus.PINGUS_DIR, 0o775)
const_setup_perms(MtimePingus.PINGUS_DIR, etpConst['entropygid'])
except (OSError, IOError,):
MtimePingus.PINGUS_DIR = tempfile.mkdtemp() # what else can I do?
def _hash_key(self, key):
"""
Create a hash representation of string.
"""
return str(hash(key))
def ping(self, action_string):
"""
Actually store a ping action mtime.
@param action_string: action identifier
@type action_string: string
"""
_hash = self._hash_key(action_string)
with self.__dump_lock:
entropy.dump.dumpobj(_hash, time.time(),
dump_dir = MtimePingus.PINGUS_DIR)
def pong(self, action_string):
"""
Actually retrieve a ping action mtime.
@param action_string: action identifier
@type action_string: string
@return: mtime (float) or None
@rtype: float or None
"""
_hash = self._hash_key(action_string)
with self.__dump_lock:
return entropy.dump.loadobj(_hash,
dump_dir = MtimePingus.PINGUS_DIR)
def seconds_passed(self, action_string, seconds):
"""
Determine whether given seconds are passed since last ping against
action_string. This also returns True if action_string does not exist.
@param action_string: action identifier
@type action_string: string
@param seconds: seconds passed
@type seconds: int
@return: True, if seconds are passed
@rtype: bool
"""
mtime = self.pong(action_string)
if mtime is None:
return True
return time.time() > (mtime + seconds)
def minutes_passed(self, action_string, minutes):
"""
Determine whether given minutes are passed since last ping against
action_string. This also returns True if action_string does not exist.
@param action_string: action identifier
@type action_string: string
@param minutes: minutes passed
@type minutes: int
@return: True, if minutes are passed
@rtype: bool
"""
mtime = self.pong(action_string)
if mtime is None:
return True
return time.time() > (mtime + minutes*60)
def hours_passed(self, action_string, hours):
"""
Determine whether given hours are passed since last ping against
action_string. This also returns True if action_string does not exist.
@param action_string: action identifier
@type action_string: string
@param hours: minutes passed
@type hours: int
@return: True, if hours are passed
@rtype: bool
"""
mtime = self.pong(action_string)
if mtime is None:
return True
return time.time() > (mtime + hours*3600)