"""Polymorphic models and queries.

The standard NDB Model class only supports 'functional polymorphism'.
That is, you can create a subclass of Model, and then subclass that
class, as many generations as necessary, and those classes will share
all the same properties and behaviors of their base classes.  However,
subclassing Model in this way gives each subclass its own kind.  This
means that it is not possible to do 'polymorphic queries'.  Building a
query on a base class will only return entities whose kind matches
that base class's kind, and exclude entities that are instances of
some subclass of that base class.

The PolyModel class defined here lets you create class hierarchies
that support polymorphic queries.  Simply subclass PolyModel instead
of Model.
"""

from . import model

__all__ = ['PolyModel']

_CLASS_KEY_PROPERTY = 'class'


class _ClassKeyProperty(model.StringProperty):
  """Property to store the 'class key' of a polymorphic class.

  The class key is a list of strings describing a polymorphic entity's
  place within its class hierarchy.  This property is automatically
  calculated.  For example:

    class Foo(PolyModel): ...
    class Bar(Foo): ...
    class Baz(Bar): ...

    Foo().class_ == ['Foo']
    Bar().class_ == ['Foo', 'Bar']
    Baz().class_ == ['Foo', 'Bar', 'Baz']
  """

  def __init__(self, name=_CLASS_KEY_PROPERTY, indexed=True):
    """Constructor.

    If you really want to you can give this a different datastore name
    or make it unindexed.  For example:

      class Foo(PolyModel):
        class_ = _ClassKeyProperty(indexed=False)
    """
    super(_ClassKeyProperty, self).__init__(name=name, indexed=indexed,
                                            repeated=True)

  def _set_value(self, entity, value):
    """The class_ property is read-only from the user's perspective."""
    raise TypeError('%s is a read-only property' % self._code_name)

  def _get_value(self, entity):
    """Compute and store a default value if necessary."""
    value = super(_ClassKeyProperty, self)._get_value(entity)
    if not value:
      value = entity._class_key()
      self._store_value(entity, value)
    return value

  def _prepare_for_put(self, entity):
    """Ensure the class_ property is initialized before it is serialized."""
    self._get_value(entity)  # For its side effects.


class PolyModel(model.Model):
  """Base class for class hierarchies supporting polymorphic queries.

  Use this class to build hierarchies that can be queried based on
  their types.

  Example:

    Consider the following model hierarchy:

      +------+
      |Animal|
      +------+
        |
        +-----------------+
        |                 |
      +------+          +------+
      |Canine|          |Feline|
      +------+          +------+
        |                 |
        +-------+         +-------+
        |       |         |       |
      +---+   +----+    +---+   +-------+
      |Dog|   |Wolf|    |Cat|   |Panther|
      +---+   +----+    +---+   +-------+

    This class hierarchy has three levels.  The first is the 'root
    class'.  All models in a single class hierarchy must inherit from
    this root.  All models in the hierarchy are stored as the same
    kind as the root class.  For example, Panther entities when stored
    to the datastore are of the kind 'Animal'.  Querying against the
    Animal kind will retrieve Cats, Dogs and Canines, for example,
    that match your query.  Different classes stored in the root
    class' kind are identified by their class key.  When loaded from
    the datastore, it is mapped to the appropriate implementation
    class.

  Polymorphic properties:

    Properties that are defined in a given base class within a
    hierarchy are stored in the datastore for all subclasses only.
    So, if the Feline class had a property called 'whiskers', the Cat
    and Panther enties would also have whiskers, but not Animal,
    Canine, Dog or Wolf.

  Polymorphic queries:

    When written to the datastore, all polymorphic objects
    automatically have a property called 'class' that you can query
    against.  Using this property it is possible to easily write a
    query against any sub-hierarchy.  For example, to fetch only
    Canine objects, including all Dogs and Wolves:

      Canine.query()

    The 'class' property is not meant to be used by your code other
    than for queries.  Since it is supposed to represents the real
    Python class it is intended to be hidden from view.  (Although if
    you feel the need, it is accessible as the 'class_' attribute.)

  Root class:

    The root class is the class from which all other classes of the
    hierarchy inherits from.  Each hierarchy has a single root class.
    A class is a root class if it is an immediate child of PolyModel.
    The subclasses of the root class are all the same kind as the root
    class. In other words:

      Animal.kind() == Feline.kind() == Panther.kind() == 'Animal'

  Note:

    All classes in a given hierarchy must have unique names, since
    the class name is used to identify the appropriate subclass.
  """

  class_ = _ClassKeyProperty()

  _class_map = {}  # Map class key -> suitable subclass.

  @classmethod
  def _update_kind_map(cls):
    """Override; called by Model._fix_up_properties().

    Update the kind map as well as the class map, except for PolyModel
    itself.
    """
    bases = cls._get_hierarchy()
    if bases:
      cls._kind_map[cls._get_kind()] = bases[0]
      cls._class_map[tuple(cls._class_key())] = cls

  @classmethod
  def _from_pb(cls, pb, set_key=True, ent=None, key=None):
    """Override.

    Use the class map to give the entity the correct subclass.
    """
    prop_name = cls.class_._name
    class_name = []
    for plist in [pb.property_list(), pb.raw_property_list()]:
      for p in plist:
        if p.name() == prop_name:
          class_name.append(p.value().stringvalue())
    cls = cls._class_map.get(tuple(class_name), cls)
    return super(PolyModel, cls)._from_pb(pb, set_key, ent, key)

  @classmethod
  def _class_key(cls):
    """Return the class key.

    This is a list of class names, e.g. ['Animal', 'Feline', 'Cat'].
    """
    return [c._class_name() for c in cls._get_hierarchy()]

  @classmethod
  def _get_kind(cls):
    """Override.

    Make sure that the kind returned is the root class of the
    polymorphic hierarchy.
    """
    bases = cls._get_hierarchy()
    if not bases:
      # We have to jump through some hoops to call the superclass'
      # _get_kind() method.  First, this is called by the metaclass
      # before the PolyModel name is defined, so it can't use
      # super(PolyModel, cls)._get_kind().  Second, we can't just call
      # Model._get_kind() because that always returns 'Model'.  Hence
      # the 'im_func' hack.
      return model.Model._get_kind.im_func(cls)
    else:
      return bases[0]._class_name()

  @classmethod
  def _class_name(cls):
    """Return the class name.

    This is overridable in case you want to use a different class
    name.  The main use case is probably to maintain backwards
    compatibility with datastore contents after renaming a class.

    NOTE: When overriding this for an intermediate class in your
    hierarchy (as opposed to a leaf class), make sure to test
    cls.__name__, or else all subclasses will appear to have the
    same class name.
    """
    return cls.__name__

  @classmethod
  def _get_hierarchy(cls):
    """Internal helper to return the list of polymorphic base classes.

    This returns a list of class objects, e.g. [Animal, Feline, Cat].
    """
    bases = []
    for base in cls.mro():  # pragma: no branch
      if hasattr(base, '_get_hierarchy'):
        bases.append(base)
    del bases[-1]  # Delete PolyModel itself
    bases.reverse()
    return bases

  @classmethod
  def _query(cls, *args, **kwds):
    """Override.

    This inserts an implicit filter on the class property.
    """
    qry = super(PolyModel, cls)._query(**kwds)
    qry = qry.filter(cls.class_ == cls._class_name())
    if args:
      qry = qry.filter(*args)
    return qry
  query = _query
