dibbler/sqlalchemy/ext/associationproxy.py

"""Contain the ``AssociationProxy`` class.

The ``AssociationProxy`` is a Python property object which provides
transparent proxied access to the endpoint of an association object.

See the example ``examples/association/proxied_association.py``.

"""
import itertools
import operator
import weakref
from sqlalchemy import exceptions
from sqlalchemy import orm
from sqlalchemy import util
from sqlalchemy.orm import collections
from sqlalchemy.sql import not_


def association_proxy(target_collection, attr, **kw):
    """Return a Python property implementing a view of *attr* over a collection.

    Implements a read/write view over an instance's *target_collection*,
    extracting *attr* from each member of the collection.  The property acts
    somewhat like this list comprehension::

      [getattr(member, *attr*)
       for member in getattr(instance, *target_collection*)]

    Unlike the list comprehension, the collection returned by the property is
    always in sync with *target_collection*, and mutations made to either
    collection will be reflected in both.

    Implements a Python property representing a relationship as a collection of
    simpler values.  The proxied property will mimic the collection type of
    the target (list, dict or set), or, in the case of a one to one relationship,
    a simple scalar value.

    :param target_collection: Name of the relationship attribute we'll proxy to,
      usually created with :func:`~sqlalchemy.orm.relationship`.

    :param attr: Attribute on the associated instances we'll proxy for.

      For example, given a target collection of [obj1, obj2], a list created
      by this proxy property would look like [getattr(obj1, *attr*),
      getattr(obj2, *attr*)]

      If the relationship is one-to-one or otherwise uselist=False, then simply:
      getattr(obj, *attr*)

    :param creator: optional.

      When new items are added to this proxied collection, new instances of
      the class collected by the target collection will be created.  For list
      and set collections, the target class constructor will be called with
      the 'value' for the new instance.  For dict types, two arguments are
      passed: key and value.

      If you want to construct instances differently, supply a *creator*
      function that takes arguments as above and returns instances.

      For scalar relationships, creator() will be called if the target is None.
      If the target is present, set operations are proxied to setattr() on the
      associated object.

      If you have an associated object with multiple attributes, you may set
      up multiple association proxies mapping to different attributes.  See
      the unit tests for examples, and for examples of how creator() functions
      can be used to construct the scalar relationship on-demand in this
      situation.

    :param \*\*kw: Passes along any other keyword arguments to
      :class:`AssociationProxy`.

    """
    return AssociationProxy(target_collection, attr, **kw)


class AssociationProxy(object):
    """A descriptor that presents a read/write view of an object attribute."""

    def __init__(self, target_collection, attr, creator=None,
                 getset_factory=None, proxy_factory=None, proxy_bulk_set=None):
        """Arguments are:

        target_collection
          Name of the collection we'll proxy to, usually created with
          'relationship()' in a mapper setup.

        attr
          Attribute on the collected instances we'll proxy for.  For example,
          given a target collection of [obj1, obj2], a list created by this
          proxy property would look like [getattr(obj1, attr), getattr(obj2,
          attr)]

        creator
          Optional. When new items are added to this proxied collection, new
          instances of the class collected by the target collection will be
          created.  For list and set collections, the target class constructor
          will be called with the 'value' for the new instance.  For dict
          types, two arguments are passed: key and value.

          If you want to construct instances differently, supply a 'creator'
          function that takes arguments as above and returns instances.

        getset_factory
          Optional.  Proxied attribute access is automatically handled by
          routines that get and set values based on the `attr` argument for
          this proxy.

          If you would like to customize this behavior, you may supply a
          `getset_factory` callable that produces a tuple of `getter` and
          `setter` functions.  The factory is called with two arguments, the
          abstract type of the underlying collection and this proxy instance.

        proxy_factory
          Optional.  The type of collection to emulate is determined by
          sniffing the target collection.  If your collection type can't be
          determined by duck typing or you'd like to use a different
          collection implementation, you may supply a factory function to
          produce those collections.  Only applicable to non-scalar relationships.

        proxy_bulk_set
          Optional, use with proxy_factory.  See the _set() method for
          details.

        """
        self.target_collection = target_collection
        self.value_attr = attr
        self.creator = creator
        self.getset_factory = getset_factory
        self.proxy_factory = proxy_factory
        self.proxy_bulk_set = proxy_bulk_set

        self.scalar = None
        self.owning_class = None
        self.key = '_%s_%s_%s' % (
            type(self).__name__, target_collection, id(self))
        self.collection_class = None

    def _get_property(self):
        return (orm.class_mapper(self.owning_class).
                get_property(self.target_collection))

    @property
    def target_class(self):
        """The class the proxy is attached to."""
        return self._get_property().mapper.class_

    def _target_is_scalar(self):
        return not self._get_property().uselist

    def __get__(self, obj, class_):
        if self.owning_class is None:
            self.owning_class = class_ and class_ or type(obj)
        if obj is None:
            return self
        elif self.scalar is None:
            self.scalar = self._target_is_scalar()
            if self.scalar:
                self._initialize_scalar_accessors()

        if self.scalar:
            return self._scalar_get(getattr(obj, self.target_collection))
        else:
            try:
                # If the owning instance is reborn (orm session resurrect,
                # etc.), refresh the proxy cache.
                creator_id, proxy = getattr(obj, self.key)
                if id(obj) == creator_id:
                    return proxy
            except AttributeError:
                pass
            proxy = self._new(_lazy_collection(obj, self.target_collection))
            setattr(obj, self.key, (id(obj), proxy))
            return proxy
    
    def __set__(self, obj, values):
        if self.owning_class is None:
            self.owning_class = type(obj)
        if self.scalar is None:
            self.scalar = self._target_is_scalar()
            if self.scalar:
                self._initialize_scalar_accessors()

        if self.scalar:
            creator = self.creator and self.creator or self.target_class
            target = getattr(obj, self.target_collection)
            if target is None:
                setattr(obj, self.target_collection, creator(values))
            else:
                self._scalar_set(target, values)
        else:
            proxy = self.__get__(obj, None)
            if proxy is not values:
                proxy.clear()
                self._set(proxy, values)

    def __delete__(self, obj):
        if self.owning_class is None:
            self.owning_class = type(obj)
        delattr(obj, self.key)

    def _initialize_scalar_accessors(self):
        if self.getset_factory:
            get, set = self.getset_factory(None, self)
        else:
            get, set = self._default_getset(None)
        self._scalar_get, self._scalar_set = get, set

    def _default_getset(self, collection_class):
        attr = self.value_attr
        getter = operator.attrgetter(attr)
        if collection_class is dict:
            setter = lambda o, k, v: setattr(o, attr, v)
        else:
            setter = lambda o, v: setattr(o, attr, v)
        return getter, setter

    def _new(self, lazy_collection):
        creator = self.creator and self.creator or self.target_class
        self.collection_class = util.duck_type_collection(lazy_collection())

        if self.proxy_factory:
            return self.proxy_factory(lazy_collection, creator, self.value_attr, self)

        if self.getset_factory:
            getter, setter = self.getset_factory(self.collection_class, self)
        else:
            getter, setter = self._default_getset(self.collection_class)
        
        if self.collection_class is list:
            return _AssociationList(lazy_collection, creator, getter, setter, self)
        elif self.collection_class is dict:
            return _AssociationDict(lazy_collection, creator, getter, setter, self)
        elif self.collection_class is set:
            return _AssociationSet(lazy_collection, creator, getter, setter, self)
        else:
            raise exceptions.ArgumentError(
                'could not guess which interface to use for '
                'collection_class "%s" backing "%s"; specify a '
                'proxy_factory and proxy_bulk_set manually' %
                (self.collection_class.__name__, self.target_collection))

    def _inflate(self, proxy):
        creator = self.creator and self.creator or self.target_class

        if self.getset_factory:
            getter, setter = self.getset_factory(self.collection_class, self)
        else:
            getter, setter = self._default_getset(self.collection_class)
        
        proxy.creator = creator
        proxy.getter = getter
        proxy.setter = setter

    def _set(self, proxy, values):
        if self.proxy_bulk_set:
            self.proxy_bulk_set(proxy, values)
        elif self.collection_class is list:
            proxy.extend(values)
        elif self.collection_class is dict:
            proxy.update(values)
        elif self.collection_class is set:
            proxy.update(values)
        else:
            raise exceptions.ArgumentError(
               'no proxy_bulk_set supplied for custom '
               'collection_class implementation')

    @property
    def _comparator(self):
        return self._get_property().comparator

    def any(self, criterion=None, **kwargs):
        return self._comparator.any(getattr(self.target_class, self.value_attr).has(criterion, **kwargs))
    
    def has(self, criterion=None, **kwargs):
        return self._comparator.has(getattr(self.target_class, self.value_attr).has(criterion, **kwargs))

    def contains(self, obj):
        return self._comparator.any(**{self.value_attr: obj})

    def __eq__(self, obj):
        return self._comparator.has(**{self.value_attr: obj})

    def __ne__(self, obj):
        return not_(self.__eq__(obj))


class _lazy_collection(object):
    def __init__(self, obj, target):
        self.ref = weakref.ref(obj)
        self.target = target

    def __call__(self):
        obj = self.ref()
        if obj is None:
            raise exceptions.InvalidRequestError(
               "stale association proxy, parent object has gone out of "
               "scope")
        return getattr(obj, self.target)

    def __getstate__(self):
        return {'obj':self.ref(), 'target':self.target}
    
    def __setstate__(self, state):
        self.ref = weakref.ref(state['obj'])
        self.target = state['target']

class _AssociationCollection(object):
    def __init__(self, lazy_collection, creator, getter, setter, parent):
        """Constructs an _AssociationCollection.  
        
        This will always be a subclass of either _AssociationList,
        _AssociationSet, or _AssociationDict.

        lazy_collection
          A callable returning a list-based collection of entities (usually an
          object attribute managed by a SQLAlchemy relationship())

        creator
          A function that creates new target entities.  Given one parameter:
          value.  This assertion is assumed::

            obj = creator(somevalue)
            assert getter(obj) == somevalue

        getter
          A function.  Given an associated object, return the 'value'.

        setter
          A function.  Given an associated object and a value, store that
          value on the object.

        """
        self.lazy_collection = lazy_collection
        self.creator = creator
        self.getter = getter
        self.setter = setter
        self.parent = parent

    col = property(lambda self: self.lazy_collection())

    def __len__(self):
        return len(self.col)

    def __nonzero__(self):
        return bool(self.col)

    def __getstate__(self):
        return {'parent':self.parent, 'lazy_collection':self.lazy_collection}

    def __setstate__(self, state):
        self.parent = state['parent']
        self.lazy_collection = state['lazy_collection']
        self.parent._inflate(self)
    
class _AssociationList(_AssociationCollection):
    """Generic, converting, list-to-list proxy."""

    def _create(self, value):
        return self.creator(value)

    def _get(self, object):
        return self.getter(object)

    def _set(self, object, value):
        return self.setter(object, value)

    def __getitem__(self, index):
        return self._get(self.col[index])

    def __setitem__(self, index, value):
        if not isinstance(index, slice):
            self._set(self.col[index], value)
        else:
            if index.stop is None:
                stop = len(self)
            elif index.stop < 0:
                stop = len(self) + index.stop
            else:
                stop = index.stop
            step = index.step or 1

            rng = range(index.start or 0, stop, step)
            if step == 1:
                for i in rng:
                    del self[index.start]
                i = index.start
                for item in value:
                    self.insert(i, item)
                    i += 1
            else:
                if len(value) != len(rng):
                    raise ValueError(
                        "attempt to assign sequence of size %s to "
                        "extended slice of size %s" % (len(value),
                                                       len(rng)))
                for i, item in zip(rng, value):
                    self._set(self.col[i], item)

    def __delitem__(self, index):
        del self.col[index]

    def __contains__(self, value):
        for member in self.col:
            # testlib.pragma exempt:__eq__
            if self._get(member) == value:
                return True
        return False

    def __getslice__(self, start, end):
        return [self._get(member) for member in self.col[start:end]]

    def __setslice__(self, start, end, values):
        members = [self._create(v) for v in values]
        self.col[start:end] = members

    def __delslice__(self, start, end):
        del self.col[start:end]

    def __iter__(self):
        """Iterate over proxied values.

        For the actual domain objects, iterate over .col instead or
        just use the underlying collection directly from its property
        on the parent.
        """

        for member in self.col:
            yield self._get(member)
        raise StopIteration

    def append(self, value):
        item = self._create(value)
        self.col.append(item)

    def count(self, value):
        return sum([1 for _ in
                    itertools.ifilter(lambda v: v == value, iter(self))])

    def extend(self, values):
        for v in values:
            self.append(v)

    def insert(self, index, value):
        self.col[index:index] = [self._create(value)]

    def pop(self, index=-1):
        return self.getter(self.col.pop(index))

    def remove(self, value):
        for i, val in enumerate(self):
            if val == value:
                del self.col[i]
                return
        raise ValueError("value not in list")

    def reverse(self):
        """Not supported, use reversed(mylist)"""

        raise NotImplementedError

    def sort(self):
        """Not supported, use sorted(mylist)"""

        raise NotImplementedError

    def clear(self):
        del self.col[0:len(self.col)]

    def __eq__(self, other):
        return list(self) == other

    def __ne__(self, other):
        return list(self) != other

    def __lt__(self, other):
        return list(self) < other

    def __le__(self, other):
        return list(self) <= other

    def __gt__(self, other):
        return list(self) > other

    def __ge__(self, other):
        return list(self) >= other

    def __cmp__(self, other):
        return cmp(list(self), other)

    def __add__(self, iterable):
        try:
            other = list(iterable)
        except TypeError:
            return NotImplemented
        return list(self) + other

    def __radd__(self, iterable):
        try:
            other = list(iterable)
        except TypeError:
            return NotImplemented
        return other + list(self)

    def __mul__(self, n):
        if not isinstance(n, int):
            return NotImplemented
        return list(self) * n
    __rmul__ = __mul__

    def __iadd__(self, iterable):
        self.extend(iterable)
        return self

    def __imul__(self, n):
        # unlike a regular list *=, proxied __imul__ will generate unique
        # backing objects for each copy.  *= on proxied lists is a bit of
        # a stretch anyhow, and this interpretation of the __imul__ contract
        # is more plausibly useful than copying the backing objects.
        if not isinstance(n, int):
            return NotImplemented
        if n == 0:
            self.clear()
        elif n > 1:
            self.extend(list(self) * (n - 1))
        return self

    def copy(self):
        return list(self)

    def __repr__(self):
        return repr(list(self))

    def __hash__(self):
        raise TypeError("%s objects are unhashable" % type(self).__name__)

    for func_name, func in locals().items():
        if (util.callable(func) and func.func_name == func_name and
            not func.__doc__ and hasattr(list, func_name)):
            func.__doc__ = getattr(list, func_name).__doc__
    del func_name, func


_NotProvided = util.symbol('_NotProvided')
class _AssociationDict(_AssociationCollection):
    """Generic, converting, dict-to-dict proxy."""

    def _create(self, key, value):
        return self.creator(key, value)

    def _get(self, object):
        return self.getter(object)

    def _set(self, object, key, value):
        return self.setter(object, key, value)

    def __getitem__(self, key):
        return self._get(self.col[key])

    def __setitem__(self, key, value):
        if key in self.col:
            self._set(self.col[key], key, value)
        else:
            self.col[key] = self._create(key, value)

    def __delitem__(self, key):
        del self.col[key]

    def __contains__(self, key):
        # testlib.pragma exempt:__hash__
        return key in self.col

    def has_key(self, key):
        # testlib.pragma exempt:__hash__
        return key in self.col

    def __iter__(self):
        return self.col.iterkeys()

    def clear(self):
        self.col.clear()

    def __eq__(self, other):
        return dict(self) == other

    def __ne__(self, other):
        return dict(self) != other

    def __lt__(self, other):
        return dict(self) < other

    def __le__(self, other):
        return dict(self) <= other

    def __gt__(self, other):
        return dict(self) > other

    def __ge__(self, other):
        return dict(self) >= other

    def __cmp__(self, other):
        return cmp(dict(self), other)

    def __repr__(self):
        return repr(dict(self.items()))

    def get(self, key, default=None):
        try:
            return self[key]
        except KeyError:
            return default

    def setdefault(self, key, default=None):
        if key not in self.col:
            self.col[key] = self._create(key, default)
            return default
        else:
            return self[key]

    def keys(self):
        return self.col.keys()

    def iterkeys(self):
        return self.col.iterkeys()

    def values(self):
        return [ self._get(member) for member in self.col.values() ]

    def itervalues(self):
        for key in self.col:
            yield self._get(self.col[key])
        raise StopIteration

    def items(self):
        return [(k, self._get(self.col[k])) for k in self]

    def iteritems(self):
        for key in self.col:
            yield (key, self._get(self.col[key]))
        raise StopIteration

    def pop(self, key, default=_NotProvided):
        if default is _NotProvided:
            member = self.col.pop(key)
        else:
            member = self.col.pop(key, default)
        return self._get(member)

    def popitem(self):
        item = self.col.popitem()
        return (item[0], self._get(item[1]))

    def update(self, *a, **kw):
        if len(a) > 1:
            raise TypeError('update expected at most 1 arguments, got %i' %
                            len(a))
        elif len(a) == 1:
            seq_or_map = a[0]
            for item in seq_or_map:
                if isinstance(item, tuple):
                    self[item[0]] = item[1]
                else:
                    self[item] = seq_or_map[item]

        for key, value in kw:
            self[key] = value

    def copy(self):
        return dict(self.items())

    def __hash__(self):
        raise TypeError("%s objects are unhashable" % type(self).__name__)

    for func_name, func in locals().items():
        if (util.callable(func) and func.func_name == func_name and
            not func.__doc__ and hasattr(dict, func_name)):
            func.__doc__ = getattr(dict, func_name).__doc__
    del func_name, func


class _AssociationSet(_AssociationCollection):
    """Generic, converting, set-to-set proxy."""

    def _create(self, value):
        return self.creator(value)

    def _get(self, object):
        return self.getter(object)

    def _set(self, object, value):
        return self.setter(object, value)

    def __len__(self):
        return len(self.col)

    def __nonzero__(self):
        if self.col:
            return True
        else:
            return False

    def __contains__(self, value):
        for member in self.col:
            # testlib.pragma exempt:__eq__
            if self._get(member) == value:
                return True
        return False

    def __iter__(self):
        """Iterate over proxied values.

        For the actual domain objects, iterate over .col instead or just use
        the underlying collection directly from its property on the parent.

        """
        for member in self.col:
            yield self._get(member)
        raise StopIteration

    def add(self, value):
        if value not in self:
            self.col.add(self._create(value))

    # for discard and remove, choosing a more expensive check strategy rather
    # than call self.creator()
    def discard(self, value):
        for member in self.col:
            if self._get(member) == value:
                self.col.discard(member)
                break

    def remove(self, value):
        for member in self.col:
            if self._get(member) == value:
                self.col.discard(member)
                return
        raise KeyError(value)

    def pop(self):
        if not self.col:
            raise KeyError('pop from an empty set')
        member = self.col.pop()
        return self._get(member)

    def update(self, other):
        for value in other:
            self.add(value)

    def __ior__(self, other):
        if not collections._set_binops_check_strict(self, other):
            return NotImplemented
        for value in other:
            self.add(value)
        return self

    def _set(self):
        return set(iter(self))

    def union(self, other):
        return set(self).union(other)

    __or__ = union

    def difference(self, other):
        return set(self).difference(other)

    __sub__ = difference

    def difference_update(self, other):
        for value in other:
            self.discard(value)

    def __isub__(self, other):
        if not collections._set_binops_check_strict(self, other):
            return NotImplemented
        for value in other:
            self.discard(value)
        return self

    def intersection(self, other):
        return set(self).intersection(other)

    __and__ = intersection

    def intersection_update(self, other):
        want, have = self.intersection(other), set(self)

        remove, add = have - want, want - have

        for value in remove:
            self.remove(value)
        for value in add:
            self.add(value)

    def __iand__(self, other):
        if not collections._set_binops_check_strict(self, other):
            return NotImplemented
        want, have = self.intersection(other), set(self)

        remove, add = have - want, want - have

        for value in remove:
            self.remove(value)
        for value in add:
            self.add(value)
        return self

    def symmetric_difference(self, other):
        return set(self).symmetric_difference(other)

    __xor__ = symmetric_difference

    def symmetric_difference_update(self, other):
        want, have = self.symmetric_difference(other), set(self)

        remove, add = have - want, want - have

        for value in remove:
            self.remove(value)
        for value in add:
            self.add(value)

    def __ixor__(self, other):
        if not collections._set_binops_check_strict(self, other):
            return NotImplemented
        want, have = self.symmetric_difference(other), set(self)

        remove, add = have - want, want - have

        for value in remove:
            self.remove(value)
        for value in add:
            self.add(value)
        return self

    def issubset(self, other):
        return set(self).issubset(other)

    def issuperset(self, other):
        return set(self).issuperset(other)

    def clear(self):
        self.col.clear()

    def copy(self):
        return set(self)

    def __eq__(self, other):
        return set(self) == other

    def __ne__(self, other):
        return set(self) != other

    def __lt__(self, other):
        return set(self) < other

    def __le__(self, other):
        return set(self) <= other

    def __gt__(self, other):
        return set(self) > other

    def __ge__(self, other):
        return set(self) >= other

    def __repr__(self):
        return repr(set(self))

    def __hash__(self):
        raise TypeError("%s objects are unhashable" % type(self).__name__)

    for func_name, func in locals().items():
        if (util.callable(func) and func.func_name == func_name and
            not func.__doc__ and hasattr(set, func_name)):
            func.__doc__ = getattr(set, func_name).__doc__
    del func_name, func