Added GHOP Student Logic.
Note that on creation of a GHOPStudent a GAE Task is created to update the taskswith the new GHOPStudent reference. This is due to the fact that we allow users to claim task without being a registered Student.
Reviewed by: Lennard de Rijk
"""Thread-local objects(Note that this module provides a Python version of thread threading.local class. Depending on the version of Python you're using, there may be a faster one available. You should always import the local class from threading.)Thread-local objects support the management of thread-local data.If you have data that you want to be local to a thread, simply createa thread-local object and use its attributes: >>> mydata = local() >>> mydata.number = 42 >>> mydata.number 42You can also access the local-object's dictionary: >>> mydata.__dict__ {'number': 42} >>> mydata.__dict__.setdefault('widgets', []) [] >>> mydata.widgets []What's important about thread-local objects is that their data arelocal to a thread. If we access the data in a different thread: >>> log = [] >>> def f(): ... items = mydata.__dict__.items() ... items.sort() ... log.append(items) ... mydata.number = 11 ... log.append(mydata.number) >>> import threading >>> thread = threading.Thread(target=f) >>> thread.start() >>> thread.join() >>> log [[], 11]we get different data. Furthermore, changes made in the other threaddon't affect data seen in this thread: >>> mydata.number 42Of course, values you get from a local object, including a __dict__attribute, are for whatever thread was current at the time theattribute was read. For that reason, you generally don't want to savethese values across threads, as they apply only to the thread theycame from.You can create custom local objects by subclassing the local class: >>> class MyLocal(local): ... number = 2 ... initialized = False ... def __init__(self, **kw): ... if self.initialized: ... raise SystemError('__init__ called too many times') ... self.initialized = True ... self.__dict__.update(kw) ... def squared(self): ... return self.number ** 2This can be useful to support default values, methods andinitialization. Note that if you define an __init__ method, it will becalled each time the local object is used in a separate thread. Thisis necessary to initialize each thread's dictionary.Now if we create a local object: >>> mydata = MyLocal(color='red')Now we have a default number: >>> mydata.number 2an initial color: >>> mydata.color 'red' >>> del mydata.colorAnd a method that operates on the data: >>> mydata.squared() 4As before, we can access the data in a separate thread: >>> log = [] >>> thread = threading.Thread(target=f) >>> thread.start() >>> thread.join() >>> log [[('color', 'red'), ('initialized', True)], 11]without affecting this thread's data: >>> mydata.number 2 >>> mydata.color Traceback (most recent call last): ... AttributeError: 'MyLocal' object has no attribute 'color'Note that subclasses can define slots, but they are not threadlocal. They are shared across threads: >>> class MyLocal(local): ... __slots__ = 'number' >>> mydata = MyLocal() >>> mydata.number = 42 >>> mydata.color = 'red'So, the separate thread: >>> thread = threading.Thread(target=f) >>> thread.start() >>> thread.join()affects what we see: >>> mydata.number 11>>> del mydata"""# Threading import is at endclass _localbase(object): __slots__ = '_local__key', '_local__args', '_local__lock' def __new__(cls, *args, **kw): self = object.__new__(cls) key = '_local__key', 'thread.local.' + str(id(self)) object.__setattr__(self, '_local__key', key) object.__setattr__(self, '_local__args', (args, kw)) object.__setattr__(self, '_local__lock', RLock()) if args or kw and (cls.__init__ is object.__init__): raise TypeError("Initialization arguments are not supported") # We need to create the thread dict in anticipation of # __init__ being called, to make sure we don't call it # again ourselves. dict = object.__getattribute__(self, '__dict__') currentThread().__dict__[key] = dict return selfdef _patch(self): key = object.__getattribute__(self, '_local__key') d = currentThread().__dict__.get(key) if d is None: d = {} currentThread().__dict__[key] = d object.__setattr__(self, '__dict__', d) # we have a new instance dict, so call out __init__ if we have # one cls = type(self) if cls.__init__ is not object.__init__: args, kw = object.__getattribute__(self, '_local__args') cls.__init__(self, *args, **kw) else: object.__setattr__(self, '__dict__', d)class local(_localbase): def __getattribute__(self, name): lock = object.__getattribute__(self, '_local__lock') lock.acquire() try: _patch(self) return object.__getattribute__(self, name) finally: lock.release() def __setattr__(self, name, value): lock = object.__getattribute__(self, '_local__lock') lock.acquire() try: _patch(self) return object.__setattr__(self, name, value) finally: lock.release() def __delattr__(self, name): lock = object.__getattribute__(self, '_local__lock') lock.acquire() try: _patch(self) return object.__delattr__(self, name) finally: lock.release() def __del__(): threading_enumerate = enumerate __getattribute__ = object.__getattribute__ def __del__(self): key = __getattribute__(self, '_local__key') try: threads = list(threading_enumerate()) except: # if enumerate fails, as it seems to do during # shutdown, we'll skip cleanup under the assumption # that there is nothing to clean up return for thread in threads: try: __dict__ = thread.__dict__ except AttributeError: # Thread is dying, rest in peace continue if key in __dict__: try: del __dict__[key] except KeyError: pass # didn't have anything in this thread return __del__ __del__ = __del__()try: from threading import currentThread, enumerate, RLockexcept ImportError: from dummy_threading import currentThread, enumerate, RLock