1. Joao Bueno
  2. lelo


lelo / lelo / _lelo.py

# coding: utf-8
# Author: João S. O. Bueno

from multiprocessing import Process, Queue

def _xecuter(queue, func, args, kwargs):
    queue.put(func(*args, **kwargs))

class CallWrapper(object):
    def __init__(self, func, args, kw):
        object.__setattr__(self, "_computed", False)
        queue = Queue(1)
        object.__setattr__(self, "_queue", queue)
        process = Process(target=_xecuter,
            args=(queue, func,
                  args, kw)

    def _value(self):
        if not object.__getattribute__(self, "_computed"):
            queue = object.__getattribute__(self, "_queue")
            object.__setattr__(self, "_real_value", queue.get())
            object.__setattr__(self, "_computed", True)
        return object.__getattribute__(self, "_real_value")

def value_retriever(name):
    def operator(self, *args, **kw):
            real_op = getattr(self._value, name)
        except AttributeError:
            return NotImplemented
        return real_op(*args, **kw)
    operator.__name__ = name
    return operator

def attr_getter(self, attr):
    if attr.startswith("__") or attr == "_value":
        return object.__getattribute__(self, attr)
    return getattr(self._value, attr)
attr_getter.__name__ = "__getattr__"

def __subclasscheck__(cls, other):
    return True

class MetaParallel(type):
    def __new__(metacls, name, bases, dct):
        # FIXME: check the data_model
        # and other Python documentation -
        #  there are mssing dunder methods still
        special_methods = """
        __abs__ __add__ __and__ __cmp__ __coerce__
        __delattr__ __div__ __divmod__ __doc__ __float__
        __floordiv__ __format__  __getnewargs__
        __hash__ __hex__ __index__ __int__ __invert__
        __long__ __lshift__ __mod__ __mul__ __neg__ 
        __nonzero__ __oct__ __or__ __pos__ __pow__ __radd__
        __rand__ __rdiv__ __rdivmod__ __reduce__ __reduce_ex__
        __repr__ __rfloordiv__ __rlshift__ __rmod__ __rmul__
        __ror__ __rpow__ __rrshift__ __rshift__ __rsub__
        __rtruediv__ __rxor__ __setattr__ __sizeof__
        __str__ __sub__ __subclasshook__ __truediv_
        __trunc__ __xor__ _contains__ __delitem__ __delslice__
        __eq__ __ge__ __getitem__ __getslice__ __gt__ __iadd__
        __imul__ __iter__ __le__ __len__ __lt__ __ne__ __reversed__
        __setitem__ __setslice__  __enter__ __exit__

        for func_name in special_methods.split():
            dct[func_name] = value_retriever(func_name)
        dct["__getattr__"] = attr_getter
        return type.__new__(metacls, name, bases, dct)

doc = """
    Make so that the function is called in a separate process,
    using Python multiprocessing, and gets started imediatelly -
    in a non blocking way.
    The return value is a proxy object that will bridge to the real
    return value whenever it is used - it will block at time
    of use if it is not complete

LazyCallWrapper = MetaParallel("parallel", (CallWrapper,), {})

class Wrapper(object):
    def __init__(self, func):
        self.func = func
        self.__name__ = self.func.__name__

    def __call__(self, *args, **kw):
        return LazyCallWrapper(self.func, args, kw)

parallel = Wrapper