""" A class for storing a tree graph. Primarily used for filter constructs in the ORM. """ import copy class Node: """ A single internal node in the tree graph. A Node should be viewed as a connection (the root) with the children being either leaf nodes or other Node instances. """ # Standard connector type. Clients usually won't use this at all and # subclasses will usually override the value. default = 'DEFAULT' def __init__(self, children=None, connector=None, negated=False): """Construct a new Node. If no connector is given, use the default.""" self.children = children[:] if children else [] self.connector = connector or self.default self.negated = negated # Required because django.db.models.query_utils.Q. Q. __init__() is # problematic, but it is a natural Node subclass in all other respects. @classmethod def _new_instance(cls, children=None, connector=None, negated=False): """ Create a new instance of this class when new Nodes (or subclasses) are needed in the internal code in this class. Normally, it just shadows __init__(). However, subclasses with an __init__ signature that aren't an extension of Node.__init__ might need to implement this method to allow a Node to create a new instance of them (if they have any extra setting up to do). """ obj = Node(children, connector, negated) obj.__class__ = cls return obj def __str__(self): template = '(NOT (%s: %s))' if self.negated else '(%s: %s)' return template % (self.connector, ', '.join(str(c) for c in self.children)) def __repr__(self): return "<%s: %s>" % (self.__class__.__name__, self) def __deepcopy__(self, memodict): obj = Node(connector=self.connector, negated=self.negated) obj.__class__ = self.__class__ obj.children = copy.deepcopy(self.children, memodict) return obj def __len__(self): """Return the number of children this node has.""" return len(self.children) def __bool__(self): """Return whether or not this node has children.""" return bool(self.children) def __contains__(self, other): """Return True if 'other' is a direct child of this instance.""" return other in self.children def __eq__(self, other): return ( self.__class__ == other.__class__ and (self.connector, self.negated) == (other.connector, other.negated) and self.children == other.children ) def __hash__(self): return hash((self.__class__, self.connector, self.negated, *[ tuple(child) if isinstance(child, list) else child for child in self.children ])) def add(self, data, conn_type, squash=True): """ Combine this tree and the data represented by data using the connector conn_type. The combine is done by squashing the node other away if possible. This tree (self) will never be pushed to a child node of the combined tree, nor will the connector or negated properties change. Return a node which can be used in place of data regardless if the node other got squashed or not. If `squash` is False the data is prepared and added as a child to this tree without further logic. """ if data in self.children: return data if not squash: self.children.append(data) return data if self.connector == conn_type: # We can reuse self.children to append or squash the node other. if (isinstance(data, Node) and not data.negated and (data.connector == conn_type or len(data) == 1)): # We can squash the other node's children directly into this # node. We are just doing (AB)(CD) == (ABCD) here, with the # addition that if the length of the other node is 1 the # connector doesn't matter. However, for the len(self) == 1 # case we don't want to do the squashing, as it would alter # self.connector. self.children.extend(data.children) return self else: # We could use perhaps additional logic here to see if some # children could be used for pushdown here. self.children.append(data) return data else: obj = self._new_instance(self.children, self.connector, self.negated) self.connector = conn_type self.children = [obj, data] return data def negate(self): """Negate the sense of the root connector.""" self.negated = not self.negated