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#

#

# Copyright (C) 2006, 2007 Google Inc.

#

# This program is free software; you can redistribute it and/or modify

# it under the terms of the GNU General Public License as published by

# the Free Software Foundation; either version 2 of the License, or

# (at your option) any later version.

#

# This program is distributed in the hope that it will be useful, but

# WITHOUT ANY WARRANTY; without even the implied warranty of

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU

# General Public License for more details.

#

# You should have received a copy of the GNU General Public License

# along with this program; if not, write to the Free Software

# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA

# 02110-1301, USA.

"""Module implementing the Ganeti locking code."""

import threading

from ganeti import errors

from ganeti import utils

def ssynchronized(lock, shared=0):

  """Shared Synchronization decorator.

  Calls the function holding the given lock, either in exclusive or shared

  mode. It requires the passed lock to be a SharedLock (or support its

  semantics).

  """

  def wrap(fn):

    def sync_function(*args, **kwargs):

      lock.acquire(shared=shared)

      try:

        return fn(*args, **kwargs)

      finally:

        lock.release()

    return sync_function

  return wrap

class _CountingCondition(object):

  """Wrapper for Python's built-in threading.Condition class.

  This wrapper keeps a count of active waiters. We can't access the internal

  "__waiters" attribute of threading.Condition because it's not thread-safe.

  """

  __slots__ = [

    "_cond",

    "_nwaiters",

    ]

  def __init__(self, lock):

    """Initializes this class.

    """

    object.__init__(self)

    self._cond = threading.Condition(lock=lock)

    self._nwaiters = 0

  def notifyAll(self):

    """Notifies the condition.

    """

    return self._cond.notifyAll()

  def wait(self, timeout=None):

    """Waits for the condition to be notified.

    @type timeout: float or None

    @param timeout: Timeout in seconds

    """

    assert self._nwaiters >= 0

    self._nwaiters += 1

    try:

      return self._cond.wait(timeout=timeout)

    finally:

      self._nwaiters -= 1

  def has_waiting(self):

    """Returns whether there are active waiters.

    """

    return bool(self._nwaiters)

class SharedLock(object):

  """Implements a shared lock.

  Multiple threads can acquire the lock in a shared way, calling

  acquire_shared().  In order to acquire the lock in an exclusive way threads

  can call acquire_exclusive().

  The lock prevents starvation but does not guarantee that threads will acquire

  the shared lock in the order they queued for it, just that they will

  eventually do so.

  """

  __slots__ = [

    "__active_shr_c",

    "__inactive_shr_c",

    "__deleted",

    "__exc",

    "__lock",

    "__pending",

    "__shr",

    ]

  __condition_class = _CountingCondition

  def __init__(self):

    """Construct a new SharedLock.

    """

    object.__init__(self)

    # Internal lock

    self.__lock = threading.Lock()

    # Queue containing waiting acquires

    self.__pending = []

    # Active and inactive conditions for shared locks

    self.__active_shr_c = self.__condition_class(self.__lock)

    self.__inactive_shr_c = self.__condition_class(self.__lock)

    # Current lock holders

    self.__shr = set()

    self.__exc = None

    # is this lock in the deleted state?

    self.__deleted = False

  def __check_deleted(self):

    """Raises an exception if the lock has been deleted.

    """

    if self.__deleted:

      raise errors.LockError("Deleted lock")

  def __is_sharer(self):

    """Is the current thread sharing the lock at this time?

    """

    return threading.currentThread() in self.__shr

  def __is_exclusive(self):

    """Is the current thread holding the lock exclusively at this time?

    """

    return threading.currentThread() == self.__exc

  def __is_owned(self, shared=-1):

    """Is the current thread somehow owning the lock at this time?

    This is a private version of the function, which presumes you're holding

    the internal lock.

    """

    if shared < 0:

      return self.__is_sharer() or self.__is_exclusive()

    elif shared:

      return self.__is_sharer()

    else:

      return self.__is_exclusive()

  def _is_owned(self, shared=-1):

    """Is the current thread somehow owning the lock at this time?

    @param shared:

        - < 0: check for any type of ownership (default)

        - 0: check for exclusive ownership

        - > 0: check for shared ownership

    """

    self.__lock.acquire()

    try:

      return self.__is_owned(shared=shared)

    finally:

      self.__lock.release()

  def _count_pending(self):

    """Returns the number of pending acquires.

    @rtype: int

    """

    self.__lock.acquire()

    try:

      return len(self.__pending)

    finally:

      self.__lock.release()

  def __do_acquire(self, shared):

    """Actually acquire the lock.

    """

    if shared:

      self.__shr.add(threading.currentThread())

    else:

      self.__exc = threading.currentThread()

  def __can_acquire(self, shared):

    """Determine whether lock can be acquired.

    """

    if shared:

      return self.__exc is None

    else:

      return len(self.__shr) == 0 and self.__exc is None

  def __is_on_top(self, cond):

    """Checks whether the passed condition is on top of the queue.

    The caller must make sure the queue isn't empty.

    """

    return self.__pending[0] == cond

  def __acquire_unlocked(self, shared=0, timeout=None):

    """Acquire a shared lock.

    @param shared: whether to acquire in shared mode; by default an

        exclusive lock will be acquired

    @param timeout: maximum waiting time before giving up

    """

    self.__check_deleted()

    # We cannot acquire the lock if we already have it

    assert not self.__is_owned(), "double acquire() on a non-recursive lock"

    # Check whether someone else holds the lock or there are pending acquires.

    if not self.__pending and self.__can_acquire(shared):

      # Apparently not, can acquire lock directly.

      self.__do_acquire(shared)

      return True

    if shared:

      wait_condition = self.__active_shr_c

      # Check if we're not yet in the queue

      if wait_condition not in self.__pending:

        self.__pending.append(wait_condition)

    else:

      wait_condition = self.__condition_class(self.__lock)

      # Always add to queue

      self.__pending.append(wait_condition)

    try:

      # Wait until we become the topmost acquire in the queue or the timeout

      # expires.

      while not (self.__is_on_top(wait_condition) and

                 self.__can_acquire(shared)):

        # Wait for notification

        wait_condition.wait(timeout)

        self.__check_deleted()

        # A lot of code assumes blocking acquires always succeed. Loop

        # internally for that case.

        if timeout is not None:

          break

      if self.__is_on_top(wait_condition) and self.__can_acquire(shared):

        self.__do_acquire(shared)

        return True

    finally:

      # Remove condition from queue if there are no more waiters

      if not wait_condition.has_waiting() and not self.__deleted:

        self.__pending.remove(wait_condition)

    return False

  def acquire(self, shared=0, timeout=None):

    """Acquire a shared lock.

    @type shared: int

    @param shared: whether to acquire in shared mode; by default an

        exclusive lock will be acquired

    @type timeout: float

    @param timeout: maximum waiting time before giving up

    """

    self.__lock.acquire()

    try:

      return self.__acquire_unlocked(shared, timeout)

    finally:

      self.__lock.release()

  def release(self):

    """Release a Shared Lock.

    You must have acquired the lock, either in shared or in exclusive mode,

    before calling this function.

    """

    self.__lock.acquire()

    try:

      assert self.__is_exclusive() or self.__is_sharer(), \

        "Cannot release non-owned lock"

      # Autodetect release type

      if self.__is_exclusive():

        self.__exc = None

      else:

        self.__shr.remove(threading.currentThread())

      # Notify topmost condition in queue

      if self.__pending:

        first_condition = self.__pending[0]

        first_condition.notifyAll()

        if first_condition == self.__active_shr_c:

          self.__active_shr_c = self.__inactive_shr_c

          self.__inactive_shr_c = first_condition

    finally:

      self.__lock.release()

  def delete(self, timeout=None):

    """Delete a Shared Lock.

    This operation will declare the lock for removal. First the lock will be

    acquired in exclusive mode if you don't already own it, then the lock

    will be put in a state where any future and pending acquire() fail.

    @type timeout: float

    @param timeout: maximum waiting time before giving up

    """

    self.__lock.acquire()

    try:

      assert not self.__is_sharer(), "Cannot delete() a lock while sharing it"

      self.__check_deleted()

      # The caller is allowed to hold the lock exclusively already.

      acquired = self.__is_exclusive()

      if not acquired:

        acquired = self.__acquire_unlocked(timeout)

      if acquired:

        self.__deleted = True

        self.__exc = None

        # Notify all acquires. They'll throw an error.

        while self.__pending:

          self.__pending.pop().notifyAll()

      return acquired

    finally:

      self.__lock.release()

# Whenever we want to acquire a full LockSet we pass None as the value

# to acquire.  Hide this behind this nicely named constant.

ALL_SET = None

class LockSet:

  """Implements a set of locks.

  This abstraction implements a set of shared locks for the same resource type,

  distinguished by name. The user can lock a subset of the resources and the

  LockSet will take care of acquiring the locks always in the same order, thus

  preventing deadlock.

  All the locks needed in the same set must be acquired together, though.

  """

  def __init__(self, members=None):

    """Constructs a new LockSet.

    @param members: initial members of the set

    """

    # Used internally to guarantee coherency.

    self.__lock = SharedLock()

    # The lockdict indexes the relationship name -> lock

    # The order-of-locking is implied by the alphabetical order of names

    self.__lockdict = {}

    if members is not None:

      for name in members:

        self.__lockdict[name] = SharedLock()

    # The owner dict contains the set of locks each thread owns. For

    # performance each thread can access its own key without a global lock on

    # this structure. It is paramount though that *no* other type of access is

    # done to this structure (eg. no looping over its keys). *_owner helper

    # function are defined to guarantee access is correct, but in general never

    # do anything different than __owners[threading.currentThread()], or there

    # will be trouble.

    self.__owners = {}

  def _is_owned(self):

    """Is the current thread a current level owner?"""

    return threading.currentThread() in self.__owners

  def _add_owned(self, name=None):

    """Note the current thread owns the given lock"""

    if name is None:

      if not self._is_owned():

        self.__owners[threading.currentThread()] = set()

    else:

      if self._is_owned():

        self.__owners[threading.currentThread()].add(name)

      else:

        self.__owners[threading.currentThread()] = set([name])

  def _del_owned(self, name=None):

    """Note the current thread owns the given lock"""

    if name is not None:

      self.__owners[threading.currentThread()].remove(name)

    # Only remove the key if we don't hold the set-lock as well

    if (not self.__lock._is_owned() and

        not self.__owners[threading.currentThread()]):

      del self.__owners[threading.currentThread()]

  def _list_owned(self):

    """Get the set of resource names owned by the current thread"""

    if self._is_owned():

      return self.__owners[threading.currentThread()].copy()

    else:

      return set()

  def __names(self):

    """Return the current set of names.

    Only call this function while holding __lock and don't iterate on the

    result after releasing the lock.

    """

    return self.__lockdict.keys()

  def _names(self):

    """Return a copy of the current set of elements.

    Used only for debugging purposes.

    """

    # If we don't already own the set-level lock acquired

    # we'll get it and note we need to release it later.

    release_lock = False

    if not self.__lock._is_owned():

      release_lock = True

      self.__lock.acquire(shared=1)

    try:

      result = self.__names()

    finally:

      if release_lock:

        self.__lock.release()

    return set(result)

  def acquire(self, names, blocking=1, shared=0):

    """Acquire a set of resource locks.

    @param names: the names of the locks which shall be acquired

        (special lock names, or instance/node names)

    @param shared: whether to acquire in shared mode; by default an

        exclusive lock will be acquired

    @param blocking: whether to block while trying to acquire or to

        operate in try-lock mode (this locking mode is not supported yet)

    @return: True when all the locks are successfully acquired

    @raise errors.LockError: when any lock we try to acquire has

        been deleted before we succeed. In this case none of the

        locks requested will be acquired.

    """

    if not blocking:

      # We don't have non-blocking mode for now

      raise NotImplementedError

    # Check we don't already own locks at this level

    assert not self._is_owned(), "Cannot acquire locks in the same set twice"

    if names is None:

      # If no names are given acquire the whole set by not letting new names

      # being added before we release, and getting the current list of names.

      # Some of them may then be deleted later, but we'll cope with this.

      #

      # We'd like to acquire this lock in a shared way, as it's nice if

      # everybody else can use the instances at the same time. If are acquiring

      # them exclusively though they won't be able to do this anyway, though,

      # so we'll get the list lock exclusively as well in order to be able to

      # do add() on the set while owning it.

      self.__lock.acquire(shared=shared)

      try:

        # note we own the set-lock

        self._add_owned()

        names = self.__names()

      except:

        # We shouldn't have problems adding the lock to the owners list, but

        # if we did we'll try to release this lock and re-raise exception.

        # Of course something is going to be really wrong, after this.

        self.__lock.release()

        raise

    try:

      # Support passing in a single resource to acquire rather than many

      if isinstance(names, basestring):

        names = [names]

      else:

        names = sorted(names)

      acquire_list = []

      # First we look the locks up on __lockdict. We have no way of being sure

      # they will still be there after, but this makes it a lot faster should

      # just one of them be the already wrong

      for lname in utils.UniqueSequence(names):

        try:

          lock = self.__lockdict[lname] # raises KeyError if lock is not there

          acquire_list.append((lname, lock))

        except (KeyError):

          if self.__lock._is_owned():

            # We are acquiring all the set, it doesn't matter if this

            # particular element is not there anymore.

            continue

          else:

            raise errors.LockError('non-existing lock in set (%s)' % lname)

      # This will hold the locknames we effectively acquired.

      acquired = set()

      # Now acquire_list contains a sorted list of resources and locks we want.

      # In order to get them we loop on this (private) list and acquire() them.

      # We gave no real guarantee they will still exist till this is done but

      # .acquire() itself is safe and will alert us if the lock gets deleted.

      for (lname, lock) in acquire_list:

        try:

          lock.acquire(shared=shared) # raises LockError if the lock is deleted

          # now the lock cannot be deleted, we have it!

          self._add_owned(name=lname)

          acquired.add(lname)

        except (errors.LockError):

          if self.__lock._is_owned():

            # We are acquiring all the set, it doesn't matter if this

            # particular element is not there anymore.

            continue

          else:

            name_fail = lname

            for lname in self._list_owned():

              self.__lockdict[lname].release()

              self._del_owned(name=lname)

            raise errors.LockError('non-existing lock in set (%s)' % name_fail)

        except:

          # We shouldn't have problems adding the lock to the owners list, but

          # if we did we'll try to release this lock and re-raise exception.

          # Of course something is going to be really wrong, after this.

          if lock._is_owned():

            lock.release()

          raise

    except:

      # If something went wrong and we had the set-lock let's release it...

      if self.__lock._is_owned():

        self.__lock.release()

      raise

    return acquired

  def release(self, names=None):

    """Release a set of resource locks, at the same level.

    You must have acquired the locks, either in shared or in exclusive mode,

    before releasing them.

    @param names: the names of the locks which shall be released

        (defaults to all the locks acquired at that level).

    """

    assert self._is_owned(), "release() on lock set while not owner"

    # Support passing in a single resource to release rather than many

    if isinstance(names, basestring):

      names = [names]

    if names is None:

      names = self._list_owned()

    else:

      names = set(names)

      assert self._list_owned().issuperset(names), (

               "release() on unheld resources %s" %

               names.difference(self._list_owned()))

    # First of all let's release the "all elements" lock, if set.

    # After this 'add' can work again

    if self.__lock._is_owned():

      self.__lock.release()

      self._del_owned()

    for lockname in names:

      # If we are sure the lock doesn't leave __lockdict without being

      # exclusively held we can do this...

      self.__lockdict[lockname].release()

      self._del_owned(name=lockname)

  def add(self, names, acquired=0, shared=0):

    """Add a new set of elements to the set

    @param names: names of the new elements to add

    @param acquired: pre-acquire the new resource?

    @param shared: is the pre-acquisition shared?

    """

    # Check we don't already own locks at this level

    assert not self._is_owned() or self.__lock._is_owned(shared=0), \

      "Cannot add locks if the set is only partially owned, or shared"

    # Support passing in a single resource to add rather than many

    if isinstance(names, basestring):

      names = [names]

    # If we don't already own the set-level lock acquired in an exclusive way

    # we'll get it and note we need to release it later.

    release_lock = False

    if not self.__lock._is_owned():

      release_lock = True

      self.__lock.acquire()

    try:

      invalid_names = set(self.__names()).intersection(names)

      if invalid_names:

        # This must be an explicit raise, not an assert, because assert is

        # turned off when using optimization, and this can happen because of

        # concurrency even if the user doesn't want it.

        raise errors.LockError("duplicate add() (%s)" % invalid_names)

      for lockname in names:

        lock = SharedLock()

        if acquired:

          lock.acquire(shared=shared)

          # now the lock cannot be deleted, we have it!

          try:

            self._add_owned(name=lockname)

          except:

            # We shouldn't have problems adding the lock to the owners list,

            # but if we did we'll try to release this lock and re-raise

            # exception.  Of course something is going to be really wrong,

            # after this.  On the other hand the lock hasn't been added to the

            # __lockdict yet so no other threads should be pending on it. This

            # release is just a safety measure.

            lock.release()

            raise

        self.__lockdict[lockname] = lock

    finally:

      # Only release __lock if we were not holding it previously.

      if release_lock:

        self.__lock.release()

    return True

  def remove(self, names, blocking=1):

    """Remove elements from the lock set.

    You can either not hold anything in the lockset or already hold a superset

    of the elements you want to delete, exclusively.

    @param names: names of the resource to remove.

    @param blocking: whether to block while trying to acquire or to

        operate in try-lock mode (this locking mode is not supported

        yet unless you are already holding exclusively the locks)

    @return:: a list of locks which we removed; the list is always

        equal to the names list if we were holding all the locks

        exclusively

    """

    if not blocking and not self._is_owned():

      # We don't have non-blocking mode for now

      raise NotImplementedError

    # Support passing in a single resource to remove rather than many

    if isinstance(names, basestring):

      names = [names]

    # If we own any subset of this lock it must be a superset of what we want

    # to delete. The ownership must also be exclusive, but that will be checked

    # by the lock itself.

    assert not self._is_owned() or self._list_owned().issuperset(names), (

      "remove() on acquired lockset while not owning all elements")

    removed = []

    for lname in names:

      # Calling delete() acquires the lock exclusively if we don't already own

      # it, and causes all pending and subsequent lock acquires to fail. It's

      # fine to call it out of order because delete() also implies release(),

      # and the assertion above guarantees that if we either already hold

      # everything we want to delete, or we hold none.

      try:

        self.__lockdict[lname].delete()

        removed.append(lname)

      except (KeyError, errors.LockError):

        # This cannot happen if we were already holding it, verify:

        assert not self._is_owned(), "remove failed while holding lockset"

      else:

        # If no LockError was raised we are the ones who deleted the lock.

        # This means we can safely remove it from lockdict, as any further or

        # pending delete() or acquire() will fail (and nobody can have the lock

        # since before our call to delete()).

        #

        # This is done in an else clause because if the exception was thrown

        # it's the job of the one who actually deleted it.

        del self.__lockdict[lname]

        # And let's remove it from our private list if we owned it.

        if self._is_owned():

          self._del_owned(name=lname)

    return removed

# Locking levels, must be acquired in increasing order.

# Current rules are:

#   - at level LEVEL_CLUSTER resides the Big Ganeti Lock (BGL) which must be

#   acquired before performing any operation, either in shared or in exclusive

#   mode. acquiring the BGL in exclusive mode is discouraged and should be

#   avoided.

#   - at levels LEVEL_NODE and LEVEL_INSTANCE reside node and instance locks.

#   If you need more than one node, or more than one instance, acquire them at

#   the same time.

LEVEL_CLUSTER = 0

LEVEL_INSTANCE = 1

LEVEL_NODE = 2

LEVELS = [LEVEL_CLUSTER,

          LEVEL_INSTANCE,

          LEVEL_NODE]

# Lock levels which are modifiable

LEVELS_MOD = [LEVEL_NODE, LEVEL_INSTANCE]

LEVEL_NAMES = {

  LEVEL_CLUSTER: "cluster",

  LEVEL_INSTANCE: "instance",

  LEVEL_NODE: "node",

  }

# Constant for the big ganeti lock

BGL = 'BGL'

class GanetiLockManager:

  """The Ganeti Locking Library

  The purpose of this small library is to manage locking for ganeti clusters

  in a central place, while at the same time doing dynamic checks against

  possible deadlocks. It will also make it easier to transition to a different

  lock type should we migrate away from python threads.

  """

  _instance = None

  def __init__(self, nodes=None, instances=None):

    """Constructs a new GanetiLockManager object.