#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2011-2020, Nigel Small
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import
from collections import OrderedDict
from itertools import chain
from uuid import uuid4
from py2neo.collections import is_collection, SetView, PropertyDict
from py2neo.compat import integer_types, string_types, ustr, xstr
from py2neo.cypher import cypher_repr
from py2neo.cypher.encoding import CypherEncoder, LabelSetView
from py2neo.data.operations import (
create_subgraph,
merge_subgraph,
delete_subgraph,
separate_subgraph,
pull_subgraph,
push_subgraph,
subgraph_exists,
)
[docs]class Subgraph(object):
""" A :class:`.Subgraph` is an arbitrary collection of nodes and
relationships. It is also the base class for :class:`.Node`,
:class:`.Relationship` and :class:`.Path`.
By definition, a subgraph must contain at least one node;
`null subgraphs <http://mathworld.wolfram.com/NullGraph.html>`_
should be represented by :const:`None`. To test for
`emptiness <http://mathworld.wolfram.com/EmptyGraph.html>`_ the
built-in :func:`bool` function can be used.
The simplest way to construct a subgraph is by combining nodes and
relationships using standard set operations. For example::
>>> s = ab | ac
>>> s
{(alice:Person {name:"Alice"}),
(bob:Person {name:"Bob"}),
(carol:Person {name:"Carol"}),
(Alice)-[:KNOWS]->(Bob),
(Alice)-[:WORKS_WITH]->(Carol)}
>>> s.nodes()
frozenset({(alice:Person {name:"Alice"}),
(bob:Person {name:"Bob"}),
(carol:Person {name:"Carol"})})
>>> s.relationships()
frozenset({(Alice)-[:KNOWS]->(Bob),
(Alice)-[:WORKS_WITH]->(Carol)})
.. describe:: subgraph | other | ...
Union.
Return a new subgraph containing all nodes and relationships from *subgraph* as well as all those from *other*.
Any entities common to both will only be included once.
.. describe:: subgraph & other & ...
Intersection.
Return a new subgraph containing all nodes and relationships common to both *subgraph* and *other*.
.. describe:: subgraph - other - ...
Difference.
Return a new subgraph containing all nodes and relationships that exist in *subgraph* but do not exist in *other*,
as well as all nodes that are connected by the relationships in *subgraph* regardless of whether or not they exist in *other*.
.. describe:: subgraph ^ other ^ ...
Symmetric difference.
Return a new subgraph containing all nodes and relationships that exist in *subgraph* or *other*, but not in both,
as well as all nodes that are connected by those relationships regardless of whether or not they are common to *subgraph* and *other*.
"""
def __init__(self, nodes=None, relationships=None):
self.__nodes = frozenset(nodes or [])
self.__relationships = frozenset(relationships or [])
self.__nodes |= frozenset(chain(*(r.nodes for r in self.__relationships)))
if not self.__nodes:
raise ValueError("Subgraphs must contain at least one node")
def __repr__(self):
return "Subgraph({%s}, {%s})" % (", ".join(map(repr, self.nodes)),
", ".join(map(repr, self.relationships)))
def __eq__(self, other):
try:
return self.nodes == other.nodes and self.relationships == other.relationships
except (AttributeError, TypeError):
return False
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
value = 0
for entity in self.__nodes:
value ^= hash(entity)
for entity in self.__relationships:
value ^= hash(entity)
return value
def __len__(self):
return len(self.__relationships)
def __iter__(self):
return iter(self.__relationships)
def __bool__(self):
return bool(self.__relationships)
def __nonzero__(self):
return bool(self.__relationships)
def __or__(self, other):
return Subgraph(set(self.nodes) | set(other.nodes), set(self.relationships) | set(other.relationships))
def __and__(self, other):
return Subgraph(set(self.nodes) & set(other.nodes), set(self.relationships) & set(other.relationships))
def __sub__(self, other):
r = set(self.relationships) - set(other.relationships)
n = (set(self.nodes) - set(other.nodes)) | set().union(*(set(rel.nodes) for rel in r))
return Subgraph(n, r)
def __xor__(self, other):
r = set(self.relationships) ^ set(other.relationships)
n = (set(self.nodes) ^ set(other.nodes)) | set().union(*(set(rel.nodes) for rel in r))
return Subgraph(n, r)
def __db_create__(self, tx):
create_subgraph(tx, self)
def __db_delete__(self, tx):
delete_subgraph(tx, self)
def __db_exists__(self, tx):
return subgraph_exists(tx, self)
def __db_merge__(self, tx, primary_label=None, primary_key=None):
merge_subgraph(tx, self, primary_label, primary_key)
def __db_pull__(self, tx):
pull_subgraph(tx, self)
def __db_push__(self, tx):
push_subgraph(tx, self)
def __db_separate__(self, tx):
separate_subgraph(tx, self)
@property
def graph(self):
assert self.__nodes # assume there is at least one node
return set(self.__nodes).pop().graph
@property
def nodes(self):
""" The set of all nodes in this subgraph.
"""
return SetView(self.__nodes)
@property
def relationships(self):
""" The set of all relationships in this subgraph.
"""
return SetView(self.__relationships)
[docs] def labels(self):
""" Return the set of all node labels in this subgraph.
*Changed in version 2020.0: this is now a method rather than a
property, as in previous versions.*
"""
return frozenset(chain(*(node.labels for node in self.__nodes)))
[docs] def types(self):
""" Return the set of all relationship types in this subgraph.
"""
return frozenset(type(rel).__name__ for rel in self.__relationships)
[docs] def keys(self):
""" Return the set of all property keys used by the nodes and
relationships in this subgraph.
"""
return (frozenset(chain(*(node.keys() for node in self.__nodes))) |
frozenset(chain(*(rel.keys() for rel in self.__relationships))))
class Walkable(Subgraph):
""" A subgraph with added traversal information.
"""
def __init__(self, iterable):
self.__sequence = tuple(iterable)
nodes = self.__sequence[0::2]
for node in nodes:
_ = node.labels # ensure not stale
Subgraph.__init__(self, nodes, self.__sequence[1::2])
def __repr__(self):
return "%s(subgraph=%s, sequence=%r)" % (self.__class__.__name__,
Subgraph.__repr__(self),
self.__sequence)
def __eq__(self, other):
try:
other_walk = tuple(walk(other))
except TypeError:
return False
else:
return tuple(walk(self)) == other_walk
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
value = 0
for item in self.__sequence:
value ^= hash(item)
return value
def __len__(self):
return (len(self.__sequence) - 1) // 2
def __getitem__(self, index):
if isinstance(index, slice):
start, stop = index.start, index.stop
if start is not None:
if start < 0:
start += len(self)
start *= 2
if stop is not None:
if stop < 0:
stop += len(self)
stop = 2 * stop + 1
return Path(*self.__sequence[start:stop])
elif index < 0:
return self.__sequence[2 * index]
else:
return self.__sequence[2 * index + 1]
def __iter__(self):
for relationship in self.__sequence[1::2]:
yield relationship
def __add__(self, other):
if other is None:
return self
return Path(*walk(self, other))
def __walk__(self):
""" Traverse and yield all nodes and relationships in this
object in order.
"""
return iter(self.__sequence)
@property
def start_node(self):
""" The first node encountered on a :func:`.walk` of this object.
"""
return self.__sequence[0]
@property
def end_node(self):
""" The last node encountered on a :func:`.walk` of this object.
"""
return self.__sequence[-1]
@property
def nodes(self):
""" The sequence of nodes over which a :func:`.walk` of this
object will traverse.
"""
return self.__sequence[0::2]
@property
def relationships(self):
""" The sequence of relationships over which a :func:`.walk`
of this object will traverse.
"""
return self.__sequence[1::2]
class Entity(PropertyDict, Walkable):
""" Base class for objects that can be optionally bound to a remote resource. This
class is essentially a container for a :class:`.Resource` instance.
"""
graph = None
identity = None
def __init__(self, iterable, properties):
Walkable.__init__(self, iterable)
PropertyDict.__init__(self, properties)
uuid = str(uuid4())
while "0" <= uuid[-7] <= "9":
uuid = str(uuid4())
self.__uuid__ = uuid
def __bool__(self):
return len(self) > 0
def __nonzero__(self):
return len(self) > 0
@property
def __name__(self):
name = None
if name is None and "__name__" in self:
name = self["__name__"]
if name is None and "name" in self:
name = self["name"]
if name is None and self.identity is not None:
name = u"_" + ustr(self.identity)
return name or u""
[docs]class Node(Entity):
""" A node is a fundamental unit of data storage within a property
graph that may optionally be connected, via relationships, to
other nodes.
Node objects can either be created implicitly, by returning nodes
in a Cypher query such as ``CREATE (a) RETURN a``, or can be
created explicitly through the constructor. In the former case, the
local Node object is *bound* to the remote node in the database; in
the latter case, the Node object remains unbound until
:meth:`created <.Transaction.create>` or
:meth:`merged <.Transaction.merge>` into a Neo4j database.
It possible to combine nodes (along with relationships and other
graph data objects) into :class:`.Subgraph` objects using set
operations. For more details, look at the documentation for the
:class:`.Subgraph` class.
All positional arguments passed to the constructor are interpreted
as labels and all keyword arguments as properties::
>>> from py2neo import Node
>>> a = Node("Person", name="Alice")
"""
@classmethod
def cast(cls, obj):
""" Cast an arbitrary object to a :class:`Node`. This method
takes its best guess on how to interpret the supplied object
as a :class:`Node`.
"""
if obj is None or isinstance(obj, Node):
return obj
def apply(x):
if isinstance(x, dict):
inst.update(x)
elif is_collection(x):
for item in x:
apply(item)
elif isinstance(x, string_types):
inst.add_label(ustr(x))
else:
raise TypeError("Cannot cast %s to Node" % obj.__class__.__name__)
inst = Node()
apply(obj)
return inst
@classmethod
def hydrate(cls, graph, identity, labels=None, properties=None, into=None):
""" Hydrate a new or existing Node object from the attributes provided.
"""
if into is None:
def instance_constructor():
new_instance = cls()
new_instance.graph = graph
new_instance.identity = identity
new_instance._stale.update({"labels", "properties"})
return new_instance
into = instance_constructor()
else:
assert isinstance(into, cls)
into.graph = graph
into.identity = identity
if properties is not None:
into._stale.discard("properties")
into.clear()
into.update(properties)
if labels is not None:
into._stale.discard("labels")
into._remote_labels = frozenset(labels)
into.clear_labels()
into.update_labels(labels)
return into
def __init__(self, *labels, **properties):
self._remote_labels = frozenset()
self._labels = set(labels)
Entity.__init__(self, (self,), properties)
self._stale = set()
def __repr__(self):
args = list(map(repr, sorted(self.labels)))
kwargs = OrderedDict()
d = dict(self)
for key in sorted(d):
if CypherEncoder.is_safe_key(key):
args.append("%s=%r" % (key, d[key]))
else:
kwargs[key] = d[key]
if kwargs:
args.append("**{%s}" % ", ".join("%r: %r" % (k, kwargs[k]) for k in kwargs))
return "Node(%s)" % ", ".join(args)
def __str__(self):
return xstr(cypher_repr(self))
def __eq__(self, other):
if self is other:
return True
try:
if any(x is None for x in [self.graph, other.graph, self.identity, other.identity]):
return False
return issubclass(type(self), Node) and issubclass(type(other), Node) and self.graph == other.graph and self.identity == other.identity
except (AttributeError, TypeError):
return False
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
if self.graph and self.identity:
return hash(self.graph.service) ^ hash(self.graph.name) ^ hash(self.identity)
else:
return hash(id(self))
def __getitem__(self, item):
if self.graph is not None and self.identity is not None and "properties" in self._stale:
self.graph.pull(self)
return Entity.__getitem__(self, item)
def __ensure_labels(self):
if self.graph is not None and self.identity is not None and "labels" in self._stale:
self.graph.pull(self)
[docs] def keys(self):
if self.graph is not None and self.identity is not None and "properties" in self._stale:
self.graph.pull(self)
return Entity.keys(self)
@property
def labels(self):
""" The full set of labels associated with with this *node*.
This set is immutable and cannot be used to add or remove
labels. Use methods such as :meth:`.add_label` and
:meth:`.remove_label` for that instead.
"""
self.__ensure_labels()
return LabelSetView(self._labels)
[docs] def has_label(self, label):
""" Return :const:`True` if this node has the label `label`,
:const:`False` otherwise.
"""
self.__ensure_labels()
return label in self._labels
[docs] def add_label(self, label):
""" Add the label `label` to this node.
"""
self.__ensure_labels()
self._labels.add(label)
[docs] def remove_label(self, label):
""" Remove the label `label` from this node, if it exists.
"""
self.__ensure_labels()
self._labels.discard(label)
[docs] def clear_labels(self):
""" Remove all labels from this node.
"""
self.__ensure_labels()
self._labels.clear()
[docs] def update_labels(self, labels):
""" Add multiple labels to this node from the iterable
`labels`.
"""
self.__ensure_labels()
self._labels.update(labels)
[docs]class Relationship(Entity):
""" A relationship represents a typed connection between a pair of nodes.
The positional arguments passed to the constructor identify the nodes to
relate and the type of the relationship. Keyword arguments describe the
properties of the relationship::
>>> from py2neo import Node, Relationship
>>> a = Node("Person", name="Alice")
>>> b = Node("Person", name="Bob")
>>> a_knows_b = Relationship(a, "KNOWS", b, since=1999)
This class may be extended to allow relationship types names to be
derived from the class name. For example::
>>> WORKS_WITH = Relationship.type("WORKS_WITH")
>>> a_works_with_b = WORKS_WITH(a, b)
>>> a_works_with_b
(Alice)-[:WORKS_WITH {}]->(Bob)
"""
[docs] @staticmethod
def type(name):
""" Return the :class:`.Relationship` subclass corresponding to a
given name.
:param name: relationship type name
:returns: `type` object
Example::
>>> KNOWS = Relationship.type("KNOWS")
>>> KNOWS(a, b)
KNOWS(Node('Person', name='Alice'), Node('Person', name='Bob')
"""
for s in Relationship.__subclasses__():
if s.__name__ == name:
return s
return type(xstr(name), (Relationship,), {})
@classmethod
def cast(cls, obj, entities=None):
def get_type(r):
if isinstance(r, string_types):
return r
elif isinstance(r, Relationship):
return type(r).__name__
elif isinstance(r, tuple) and len(r) == 2 and isinstance(r[0], string_types):
return r[0]
else:
raise ValueError("Cannot determine relationship type from %r" % r)
def get_properties(r):
if isinstance(r, string_types):
return {}
elif isinstance(r, Relationship):
return dict(r)
elif hasattr(r, "properties"):
return r.properties
elif isinstance(r, tuple) and len(r) == 2 and isinstance(r[0], string_types):
return dict(r[1])
else:
raise ValueError("Cannot determine properties from %r" % r)
if isinstance(obj, Relationship):
return obj
elif isinstance(obj, tuple):
if len(obj) == 3:
start_node, t, end_node = obj
properties = get_properties(t)
elif len(obj) == 4:
start_node, t, end_node, properties = obj
properties = dict(get_properties(t), **properties)
else:
raise TypeError("Cannot cast relationship from %r" % obj)
else:
raise TypeError("Cannot cast relationship from %r" % obj)
if entities:
if isinstance(start_node, integer_types):
start_node = entities[start_node]
if isinstance(end_node, integer_types):
end_node = entities[end_node]
return Relationship(start_node, get_type(t), end_node, **properties)
@classmethod
def hydrate(cls, graph, identity, start, end, type=None, properties=None, into=None):
if into is None:
def instance_constructor():
if properties is None:
new_instance = cls(Node.hydrate(graph, start), type,
Node.hydrate(graph, end))
new_instance._stale.add("properties")
else:
new_instance = cls(Node.hydrate(graph, start), type,
Node.hydrate(graph, end), **properties)
new_instance.graph = graph
new_instance.identity = identity
return new_instance
into = instance_constructor()
else:
assert isinstance(into, Relationship)
into.graph = graph
into.identity = identity
Node.hydrate(graph, start, into=into.start_node)
Node.hydrate(graph, end, into=into.end_node)
into._type = type
if properties is None:
into._stale.add("properties")
else:
into.clear()
into.update(properties)
return into
def __init__(self, *nodes, **properties):
n = []
for value in nodes:
if value is None:
n.append(None)
elif isinstance(value, string_types):
n.append(value)
else:
n.append(Node.cast(value))
num_args = len(n)
if num_args == 0:
raise TypeError("Relationships must specify at least one endpoint")
elif num_args == 1:
# Relationship(a)
n = (n[0], n[0])
elif num_args == 2:
if n[1] is None or isinstance(n[1], string_types):
# Relationship(a, "TO")
self.__class__ = Relationship.type(n[1])
n = (n[0], n[0])
else:
# Relationship(a, b)
n = (n[0], n[1])
elif num_args == 3:
# Relationship(a, "TO", b)
self.__class__ = Relationship.type(n[1])
n = (n[0], n[2])
else:
raise TypeError("Hyperedges not supported")
Entity.__init__(self, (n[0], self, n[1]), properties)
self._stale = set()
def __repr__(self):
args = [repr(self.nodes[0]), repr(self.nodes[-1])]
kwargs = OrderedDict()
d = dict(self)
for key in sorted(d):
if CypherEncoder.is_safe_key(key):
args.append("%s=%r" % (key, d[key]))
else:
kwargs[key] = d[key]
if kwargs:
args.append("**{%s}" % ", ".join("%r: %r" % (k, kwargs[k]) for k in kwargs))
return "%s(%s)" % (self.__class__.__name__, ", ".join(args))
def __str__(self):
return xstr(cypher_repr(self))
def __eq__(self, other):
if self is other:
return True
try:
if any(x is None for x in [self.graph, other.graph, self.identity, other.identity]):
try:
return type(self) is type(other) and list(self.nodes) == list(other.nodes) and dict(self) == dict(other)
except (AttributeError, TypeError):
return False
return issubclass(type(self), Relationship) and issubclass(type(other), Relationship) and self.graph == other.graph and self.identity == other.identity
except (AttributeError, TypeError):
return False
def __ne__(self, other):
return not self.__eq__(other)
def __hash__(self):
return hash(self.nodes) ^ hash(type(self))
[docs]class Path(Walkable):
""" A path represents a walk through a graph, starting on a node
and visiting alternating relationships and nodes thereafter.
Paths have a "overlaid" direction separate to that of the
relationships they contain, and the nodes and relationships
themselves may each be visited multiple times, in any order,
within the same path.
Paths can be returned from Cypher queries or can be constructed
locally via the constructor or by using the addition operator.
The `entities` provided to the constructor are walked in order to
build up the new path. This is only possible if the end node of
each entity is the same as either the start node or the end node
of the next entity; in the latter case, the second entity will be
walked in reverse. Nodes that overlap from one argument onto
another are not duplicated.
>>> from py2neo import Node, Path
>>> alice, bob, carol = Node(name="Alice"), Node(name="Bob"), Node(name="Carol")
>>> abc = Path(alice, "KNOWS", bob, Relationship(carol, "KNOWS", bob), carol)
>>> abc
<Path order=3 size=2>
>>> abc.nodes
(<Node labels=set() properties={'name': 'Alice'}>,
<Node labels=set() properties={'name': 'Bob'}>,
<Node labels=set() properties={'name': 'Carol'}>)
>>> abc.relationships
(<Relationship type='KNOWS' properties={}>,
<Relationship type='KNOWS' properties={}>)
>>> dave, eve = Node(name="Dave"), Node(name="Eve")
>>> de = Path(dave, "KNOWS", eve)
>>> de
<Path order=2 size=1>
>>> abcde = Path(abc, "KNOWS", de)
>>> abcde
<Path order=5 size=4>
>>> for relationship in abcde.relationships:
... print(relationship)
({name:"Alice"})-[:KNOWS]->({name:"Bob"})
({name:"Carol"})-[:KNOWS]->({name:"Bob"})
({name:"Carol"})-[:KNOWS]->({name:"Dave"})
({name:"Dave"})-[:KNOWS]->({name:"Eve"})
"""
@classmethod
def hydrate(cls, graph, nodes, u_rels, sequence):
last_node = nodes[0]
steps = [last_node]
for i, rel_index in enumerate(sequence[::2]):
next_node = nodes[sequence[2 * i + 1]]
if rel_index > 0:
u_rel = u_rels[rel_index - 1]
rel = Relationship.hydrate(graph, u_rel.id,
last_node.identity, next_node.identity,
u_rel.type, u_rel.properties)
else:
u_rel = u_rels[-rel_index - 1]
rel = Relationship.hydrate(graph, u_rel.id,
next_node.identity, last_node.identity,
u_rel.type, u_rel.properties)
steps.append(rel)
last_node = next_node
return cls(*steps)
def __init__(self, *entities):
entities = list(entities)
for i, entity in enumerate(entities):
if isinstance(entity, Entity):
continue
elif entity is None:
entities[i] = Node()
elif isinstance(entity, dict):
entities[i] = Node(**entity)
for i, entity in enumerate(entities):
try:
start_node = entities[i - 1].end_node
end_node = entities[i + 1].start_node
except (IndexError, AttributeError):
pass
else:
if isinstance(entity, string_types):
entities[i] = Relationship(start_node, entity, end_node)
elif isinstance(entity, tuple) and len(entity) == 2:
t, properties = entity
entities[i] = Relationship(start_node, t, end_node, **properties)
Walkable.__init__(self, walk(*entities))
def __str__(self):
return xstr(cypher_repr(self))
def __repr__(self):
entities = [self.start_node] + list(self.relationships)
return "Path(%s)" % ", ".join(map(repr, entities))
[docs] @staticmethod
def walk(*walkables):
""" Traverse over the arguments supplied, in order, yielding
alternating :class:`.Node` and :class:`.Relationship` objects.
Any node or relationship may be traversed one or more times in
any direction.
:arg walkables: sequence of walkable objects
"""
if not walkables:
return
walkable = walkables[0]
try:
entities = walkable.__walk__()
except AttributeError:
raise TypeError("Object %r is not walkable" % walkable)
for entity in entities:
yield entity
end_node = walkable.end_node
for walkable in walkables[1:]:
try:
if end_node == walkable.start_node:
entities = walkable.__walk__()
end_node = walkable.end_node
elif end_node == walkable.end_node:
entities = reversed(list(walkable.__walk__()))
end_node = walkable.start_node
else:
raise ValueError("Cannot append walkable %r "
"to node %r" % (walkable, end_node))
except AttributeError:
raise TypeError("Object %r is not walkable" % walkable)
for i, entity in enumerate(entities):
if i > 0:
yield entity
walk = Path.walk
