#!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2011-2021, 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.
"""
The ``py2neo.matching`` module provides functionality to match nodes
and relationships according to certain criteria. For each entity type,
a ``Matcher`` class and a ``Match`` class are provided. The ``Matcher``
can be used to perform a basic selection, returning a ``Match`` that
itself can be evaluated or further refined.
The underlying query is only evaluated when the selection undergoes
iteration or when a specific evaluation method is called (such as
:meth:`.NodeMatch.first`). This means that a :class:`.NodeMatch`
object may be reused before and after data changes for different
results.
"""
__all__ = [
"Predicate",
"IsNull",
"IsNotNull",
"Predicate1",
"EqualTo",
"NotEqualTo",
"LessThan",
"LessThanOrEqualTo",
"GreaterThan",
"GreaterThanOrEqualTo",
"StartsWith",
"EndsWith",
"Contains",
"Like",
"In",
"Connective",
"And",
"Or",
"EitherOr",
"IS_NULL",
"IS_NOT_NULL",
"EQ", "EQUAL_TO",
"NE", "NOT_EQUAL_TO",
"LT", "LESS_THAN",
"LE", "LESS_THAN_OR_EQUAL_TO",
"GT", "GREATER_THAN",
"GE", "GREATER_THAN_OR_EQUAL_TO",
"STARTS_WITH",
"ENDS_WITH",
"CONTAINS",
"LIKE",
"IN",
"AND",
"OR",
"XOR",
"NodeMatch",
"NodeMatcher",
"RelationshipMatch",
"RelationshipMatcher",
]
from py2neo.collections import is_collection
from py2neo.compat import Sequence, Set
from py2neo.cypher import cypher_escape, cypher_repr
class Predicate(object):
@classmethod
def cast(cls, value):
if value is None:
return IsNull()
elif isinstance(value, Predicate):
return value
elif isinstance(value, (tuple, set, frozenset)):
return In(value)
else:
return EqualTo(value)
def compile(self, key, _):
return "", {}
class IsNull(Predicate):
""" Null value predicate.
This is equivalent to the Cypher expression ``x IS NULL``.
"""
def compile(self, key, _):
return "_.%s IS NULL" % cypher_escape(key), {}
class IsNotNull(Predicate):
""" Non-null value predicate.
This is equivalent to the Cypher expression ``x IS NOT NULL``.
"""
def compile(self, key, _):
return "_.%s IS NOT NULL" % cypher_escape(key), {}
class Predicate1(Predicate):
def __init__(self, value):
self.value = value
class EqualTo(Predicate1):
""" Equal value predicate.
This is equivalent to the Cypher expression ``x = value``.
"""
def compile(self, key, i):
return "_.%s = $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class NotEqualTo(Predicate1):
""" Unequal value predicate.
This is equivalent to the Cypher expression ``x <> value``.
"""
def compile(self, key, i):
return "_.%s <> $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class LessThan(Predicate1):
""" Lesser value predicate.
This is equivalent to the Cypher expression ``x < value``.
"""
def compile(self, key, i):
return "_.%s < $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class LessThanOrEqualTo(Predicate1):
""" Lesser or equal value predicate.
This is equivalent to the Cypher expression ``x <= value``.
"""
def compile(self, key, i):
return "_.%s <= $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class GreaterThan(Predicate1):
""" Greater value predicate.
This is equivalent to the Cypher expression ``x > value``.
"""
def compile(self, key, i):
return "_.%s > $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class GreaterThanOrEqualTo(Predicate1):
""" Greater or equal value predicate.
This is equivalent to the Cypher expression ``x >= value``.
"""
def compile(self, key, i):
return "_.%s >= $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class StartsWith(Predicate1):
""" String prefix predicate.
This is equivalent to the Cypher expression ``s STARTS WITH value``.
>>> nodes.match("Person", name=STARTS_WITH("Kevin")).all()
[Node('Person', born=1958, name='Kevin Bacon'),
Node('Person', born=1957, name='Kevin Pollak')]
"""
def compile(self, key, i):
return "_.%s STARTS WITH $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class EndsWith(Predicate1):
""" String suffix predicate.
This is equivalent to the Cypher expression ``s ENDS WITH value``.
>>> nodes.match("Person", name=ENDS_WITH("Wachowski")).all()
[Node('Person', born=1967, name='Andy Wachowski'),
Node('Person', born=1965, name='Lana Wachowski')]
"""
def compile(self, key, i):
return "_.%s ENDS WITH $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class Contains(Predicate1):
""" Substring predicate.
>>> nodes.match("Person", name=CONTAINS("eve")).all()
[Node('Person', born=1967, name='Steve Zahn'),
Node('Person', born=1964, name='Keanu Reeves')]
This is equivalent to the Cypher expression ``s CONTAINS value``.
"""
def compile(self, key, i):
return "_.%s CONTAINS $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class Like(Predicate1):
""" Regular expression matching predicate.
The `regex` can be a string or an pre-existing compiled
Python ``re`` pattern.
>>> nodes.match("Person", name=LIKE("Ke.*n")).all()
[Node('Person', born=1958, name='Kevin Bacon'),
Node('Person', born=1962, name='Kelly Preston')]
This is equivalent to the Cypher expression ``s =~ regex``.
"""
def __init__(self, regex):
try:
value = regex.pattern
except AttributeError:
value = regex
super(Like, self).__init__(value)
def compile(self, key, i):
return "_.%s =~ $%s" % (cypher_escape(key), i), {"%s" % i: self.value}
class In(Predicate1):
""" List membership predicate.
>>> nodes.match("Person", born=IN([1962, 1964, 1966])).all()
[Node('Person', born=1964, name='Keanu Reeves'),
Node('Person', born=1962, name='Tom Cruise'),
Node('Person', born=1962, name='Demi Moore'),
Node('Person', born=1966, name='Kiefer Sutherland'),
Node('Person', born=1962, name='Anthony Edwards'),
Node('Person', born=1962, name='Kelly Preston'),
Node('Person', born=1966, name='John Cusack'),
Node('Person', born=1962, name="Rosie O'Donnell"),
Node('Person', born=1966, name='Halle Berry'),
Node('Person', born=1966, name='Matthew Fox')]
This is equivalent to the Cypher expression ``x IN list``.
"""
def compile(self, key, i):
return "_.%s IN $%s" % (cypher_escape(key), i), {"%s" % i: list(self.value)}
class Connective(Predicate):
def __init__(self, *values):
self.values = tuple(map(Predicate.cast, values))
class And(Connective):
""" Connective wherein all predicates must evaluate true.
>>> nodes.match("Person", born=AND(GE(1964), LE(1966))).all()
[Node('Person', born=1965, name='John C. Reilly'),
Node('Person', born=1964, name='Keanu Reeves'),
Node('Person', born=1965, name='Lana Wachowski'),
Node('Person', born=1966, name='Kiefer Sutherland'),
Node('Person', born=1966, name='John Cusack'),
Node('Person', born=1966, name='Halle Berry'),
Node('Person', born=1965, name='Tom Tykwer'),
Node('Person', born=1966, name='Matthew Fox')]
This is equivalent to the Cypher expression ``(pred1 AND pred2 AND ...)``.
"""
def compile(self, key, i):
predicates = []
parameters = {}
for j, value in enumerate(self.values, start=1):
c, p = value.compile(key, "%s_%s" % (i, j))
predicates.append(c)
parameters.update(p)
return "(%s)" % " AND ".join(predicates), parameters
class Or(Connective):
""" Connective wherein at least one predicate must evaluate true.
>>> nodes.match("Person", name=OR(STARTS_WITH("H"), ENDS_WITH("h"))).all()
[Node('Person', born=1960, name='Hugo Weaving'),
Node('Person', born=1943, name='J.T. Walsh'),
Node('Person', born=1941, name='Jim Cash'),
Node('Person', born=1963, name='Helen Hunt'),
Node('Person', born=1950, name='Howard Deutch'),
Node('Person', born=1966, name='Halle Berry'),
Node('Person', born=1985, name='Emile Hirsch')]
This is equivalent to the Cypher expression ``(pred1 OR pred2 OR ...)``.
"""
def compile(self, key, i):
predicates = []
parameters = {}
for j, value in enumerate(self.values, start=1):
c, p = value.compile(key, "%s_%s" % (i, j))
predicates.append(c)
parameters.update(p)
return "(%s)" % " OR ".join(predicates), parameters
class EitherOr(Connective):
""" Connective wherein exactly one predicate must evaluate true.
>>> nodes.match("Person", name=XOR(STARTS_WITH("H"), ENDS_WITH("h"))).all()
[Node('Person', born=1960, name='Hugo Weaving'),
Node('Person', born=1943, name='J.T. Walsh'),
Node('Person', born=1941, name='Jim Cash'),
Node('Person', born=1963, name='Helen Hunt'),
Node('Person', born=1966, name='Halle Berry'),
Node('Person', born=1985, name='Emile Hirsch')]
This is equivalent to the Cypher expression ``(pred1 XOR pred2 XOR ...)``.
"""
def compile(self, key, i):
predicates = []
parameters = {}
for j, value in enumerate(self.values, start=1):
c, p = value.compile(key, "%s_%s" % (i, j))
predicates.append(c)
parameters.update(p)
return "(%s)" % " XOR ".join(predicates), parameters
IS_NULL = IsNull
IS_NOT_NULL = IsNotNull
EQ = EQUAL_TO = EqualTo
NE = NOT_EQUAL_TO = NotEqualTo
LT = LESS_THAN = LessThan
LE = LESS_THAN_OR_EQUAL_TO = LessThanOrEqualTo
GT = GREATER_THAN = GreaterThan
GE = GREATER_THAN_OR_EQUAL_TO = GreaterThanOrEqualTo
STARTS_WITH = StartsWith
ENDS_WITH = EndsWith
CONTAINS = Contains
LIKE = Like
IN = In
AND = And
OR = Or
XOR = EitherOr
def _property_predicates(properties, offset=1):
for i, (key, value) in enumerate(properties.items(), start=offset):
yield Predicate.cast(value).compile(key, i)
[docs]class NodeMatch(object):
""" Immutable set of node selection criteria.
.. describe:: iter(match)
Iterate through all matching nodes.
.. describe:: len(match)
Return the number of nodes matched.
"""
def __init__(self, graph, labels=frozenset(), predicates=tuple(), order_by=tuple(), skip=None, limit=None):
self.graph = graph
self._labels = frozenset(labels)
self._predicates = tuple(predicates)
self._order_by = tuple(order_by)
self._skip = skip
self._limit = limit
def __len__(self):
""" Return the number of nodes matched.
"""
return self.graph.evaluate(*self._query_and_parameters(count=True))
def __iter__(self):
""" Iterate through all matching nodes.
"""
for record in self.graph.run(*self._query_and_parameters()):
yield record[0]
[docs] def all(self):
""" Evaluate the selection and return a list of all matched
:class:`.Node` objects.
:return: list of matching :class:`.Node` objects
*New in version 2020.0.*
"""
return list(self)
[docs] def count(self):
""" Evaluate the selection and return a count of the number
of matches.
:return: number of nodes matched
*New in version 2020.0.*
"""
return len(self)
[docs] def exists(self):
""" Evaluate the selection and return :py:const:`True` if at
least one matched node exists.
:return: boolean indicating presence or absence of a match
*New in version 2020.0.*
"""
return len(self) > 0
[docs] def first(self):
""" Evaluate the match and return the first :class:`.Node`
matched or :const:`None` if no matching nodes are found.
:return: a single matching :class:`.Node` or :const:`None`
"""
return self.graph.evaluate(*self._query_and_parameters())
def _query_and_parameters(self, count=False):
""" A tuple of the Cypher query and parameters used to select
the nodes that match the criteria for this selection.
:return: Cypher query string
"""
clauses = ["MATCH (_%s)" % "".join(":%s" % cypher_escape(label) for label in self._labels)]
parameters = {}
if self._predicates:
predicates = []
for predicate in self._predicates:
if isinstance(predicate, tuple):
predicate, param = predicate
parameters.update(param)
predicates.append(predicate)
clauses.append("WHERE %s" % " AND ".join(predicates))
if count:
clauses.append("RETURN count(_)")
else:
clauses.append("RETURN _")
if self._order_by:
clauses.append("ORDER BY %s" % (", ".join(self._order_by)))
if self._skip:
clauses.append("SKIP %d" % self._skip)
if self._limit is not None:
clauses.append("LIMIT %d" % self._limit)
return " ".join(clauses), parameters
[docs] def where(self, *predicates, **properties):
""" Refine this match to create a new match. The criteria specified
for refining the match consist of predicates and properties.
Conditions are individual Cypher expressions that would be found
in a `WHERE` clause; properties are used as exact matches for
property values.
To refer to the current node within a predicate expression, use
the underscore character ``_``. For example::
match.where("_.name =~ 'J.*'")
Simple property equalities can also be specified::
match.where(born=1976)
:param predicates: Cypher expressions to add to the `WHERE` clause
:param properties: exact property match keys and values
:return: refined :class:`.NodeMatch` object
"""
return self.__class__(self.graph, self._labels,
self._predicates + predicates + tuple(_property_predicates(properties)),
self._order_by, self._skip, self._limit)
[docs] def order_by(self, *fields):
""" Order by the fields or field expressions specified.
To refer to the current node within a field or field expression,
use the underscore character ``_``. For example::
match.order_by("_.name", "max(_.a, _.b)")
:param fields: fields or field expressions to order by
:return: refined :class:`.NodeMatch` object
"""
return self.__class__(self.graph, self._labels, self._predicates,
fields, self._skip, self._limit)
[docs] def skip(self, amount):
""" Skip the first `amount` nodes in the result.
:param amount: number of nodes to skip
:return: refined :class:`.NodeMatch` object
"""
return self.__class__(self.graph, self._labels, self._predicates,
self._order_by, amount, self._limit)
[docs] def limit(self, amount):
""" Limit to at most `amount` nodes.
:param amount: maximum number of nodes to return
:return: refined :class:`.NodeMatch` object
"""
return self.__class__(self.graph, self._labels, self._predicates,
self._order_by, self._skip, amount)
[docs]class NodeMatcher(object):
""" Matcher for selecting nodes.
A :class:`.NodeMatcher` can be used to locate nodes that fulfil a
specific set of criteria. Typically, a single node can be
identified passing a specific label and property key-value pair.
However, any number of labels and predicates supported by the
Cypher `WHERE` clause are allowed.
For a simple equality match by label and property::
>>> from py2neo import Graph
>>> from py2neo.matching import *
>>> g = Graph()
>>> nodes = NodeMatcher(g)
>>> keanu = nodes.match("Person", name="Keanu Reeves").first()
>>> keanu
Node('Person', born=1964, name='Keanu Reeves')
:param graph: :class:`.Graph` object on which to perform matches
.. describe:: iter(matcher)
Iterate through the matches, yielding the node ID for each one in turn.
.. describe:: len(matcher)
Count the matched nodes and return the number matched.
.. describe:: node_id in matcher
Determine whether a given node ID exists.
.. describe:: matcher[node_id]
Match and return a specific node by ID.
This raises a :py:exc:`KeyError` if no such node can be found.
"""
_match_class = NodeMatch
def __init__(self, graph):
self.graph = graph
def __iter__(self):
for node in self.match():
yield node.identity
def __len__(self):
return len(self.match())
def __contains__(self, identity):
return self.match().where("id(_) = %d" % identity).exists()
def __getitem__(self, identity):
""" Return a node by identity.
"""
entity = self.get(identity)
if entity is None:
raise KeyError("Node %d not found" % identity)
return entity
[docs] def get(self, identity):
""" Create a new :class:`.NodeMatch` that filters by identity
and returns the first matched :class:`.Node`. This can be used
to match and return a :class:`.Node` by ID.
>>> matches.get(1234)
Node('Person', name='Alice')
If no such :class:`.Node` is found, :py:const:`None` is
returned instead. Contrast with ``matcher[1234]`` which raises
a :py:exc:`KeyError` if no entity is found.
"""
t = type(identity)
if issubclass(t, (list, tuple, set, frozenset)):
matches = self.match().where("id(_) in %s" % cypher_repr(list(identity)))
return t(matches)
else:
return self.match().where("id(_) = %d" % identity).first()
[docs] def match(self, *labels, **properties):
""" Describe a basic node match using labels and property
equality.
:param labels: node labels to match
:param properties: set of property keys and values to match
:return: :class:`.NodeMatch` instance
"""
criteria = {}
if labels:
criteria["labels"] = frozenset(labels)
if properties:
criteria["predicates"] = tuple(_property_predicates(properties))
return self._match_class(self.graph, **criteria)
[docs]class RelationshipMatch(object):
""" Immutable set of relationship selection criteria.
.. describe:: iter(match)
Iterate through all matching relationships.
.. describe:: len(match)
Return the number of relationships matched.
"""
def __init__(self, graph, nodes=None, r_type=None,
predicates=tuple(), order_by=tuple(), skip=None, limit=None):
if nodes is not None and not isinstance(nodes, (Sequence, Set)):
raise ValueError("Nodes must be supplied as a Sequence or a Set")
self.graph = graph
self._nodes = nodes
self._r_type = r_type
self._predicates = tuple(predicates)
self._order_by = tuple(order_by)
self._skip = skip
self._limit = limit
def __len__(self):
""" Return the number of relationships matched.
"""
return self.graph.evaluate(*self._query_and_parameters(count=True))
def __iter__(self):
""" Iterate through all matching relationships.
"""
query, parameters = self._query_and_parameters()
for record in self.graph.run(query, parameters):
yield record[0]
[docs] def all(self):
""" Evaluate the selection and return a list of all matched
:class:`.Relationship` objects.
:return: list of matching :class:`.Relationship` objects
*New in version 2020.0.*
"""
return list(self)
[docs] def count(self):
""" Evaluate the selection and return a count of the number
of matches.
:return: number of relationships matched
*New in version 2020.0.*
"""
return len(self)
[docs] def exists(self):
""" Evaluate the selection and return :py:const:`True` if at
least one matched relationship exists.
:return: boolean indicating presence or absence of a match
*New in version 2020.0.*
"""
return len(self) > 0
[docs] def first(self):
""" Evaluate the selection and return the first
:class:`.Relationship` selected or :const:`None` if no matching
relationships are found.
:return: a single matching :class:`.Relationship` or :const:`None`
"""
return self.graph.evaluate(*self._query_and_parameters())
def _query_and_parameters(self, count=False):
""" A tuple of the Cypher query and parameters used to select
the relationships that match the criteria for this selection.
:return: Cypher query string
"""
def verify_node(n):
if n.graph != self.graph:
raise ValueError("Node %r does not belong to this graph" % n)
if n.identity is None:
raise ValueError("Node %r is not bound to a graph" % n)
def r_type_name(r):
try:
return r.__name__
except AttributeError:
return r
clauses = []
parameters = {}
if self._r_type is None:
relationship_detail = ""
elif is_collection(self._r_type):
relationship_detail = ":" + "|".join(cypher_escape(r_type_name(t))
for t in self._r_type)
else:
relationship_detail = ":%s" % cypher_escape(r_type_name(self._r_type))
if not self._nodes:
clauses.append("MATCH (a)-[_" + relationship_detail + "]->(b)")
elif isinstance(self._nodes, Sequence):
if len(self._nodes) >= 1 and self._nodes[0] is not None:
start_node = self._nodes[0]
verify_node(start_node)
clauses.append("MATCH (a) WHERE id(a) = $x")
parameters["x"] = start_node.identity
if len(self._nodes) >= 2 and self._nodes[1] is not None:
end_node = self._nodes[1]
verify_node(end_node)
clauses.append("MATCH (b) WHERE id(b) = $y")
parameters["y"] = end_node.identity
if len(self._nodes) >= 3:
raise ValueError("Node sequence cannot be longer than two")
clauses.append("MATCH (a)-[_" + relationship_detail + "]->(b)")
elif isinstance(self._nodes, Set):
nodes = {node for node in self._nodes if node is not None}
if len(nodes) >= 1:
start_node = nodes.pop()
verify_node(start_node)
clauses.append("MATCH (a) WHERE id(a) = $x")
parameters["x"] = start_node.identity
if len(nodes) >= 1:
end_node = nodes.pop()
verify_node(end_node)
clauses.append("MATCH (b) WHERE id(b) = $y")
parameters["y"] = end_node.identity
if len(nodes) >= 1:
raise ValueError("Node set cannot be larger than two")
clauses.append("MATCH (a)-[_" + relationship_detail + "]-(b)")
else:
raise ValueError("Nodes must be passed as a Sequence or a Set")
if self._predicates:
predicates = []
for predicate in self._predicates:
if isinstance(predicate, tuple):
predicate, param = predicate
parameters.update(param)
predicates.append(predicate)
clauses.append("WHERE %s" % " AND ".join(predicates))
if count:
clauses.append("RETURN count(_)")
else:
clauses.append("RETURN _")
if self._order_by:
clauses.append("ORDER BY %s" % (", ".join(self._order_by)))
if self._skip:
clauses.append("SKIP %d" % self._skip)
if self._limit is not None:
clauses.append("LIMIT %d" % self._limit)
return " ".join(clauses), parameters
[docs] def where(self, *predicates, **properties):
""" Refine this match to create a new match. The criteria specified
for refining the match consist of predicates and properties.
Conditions are individual Cypher expressions that would be found
in a `WHERE` clause; properties are used as exact matches for
property values.
To refer to the current relationship within a predicate expression,
use the underscore character ``_``. For example::
match.where("_.weight >= 30")
Simple property equalities can also be specified::
match.where(since=1999)
:param predicates: Cypher expressions to add to the `WHERE` clause
:param properties: exact property match keys and values
:return: refined :class:`.RelationshipMatch` object
"""
return self.__class__(self.graph,
nodes=self._nodes,
r_type=self._r_type,
predicates=self._predicates + predicates + tuple(_property_predicates(properties)),
order_by=self._order_by,
skip=self._skip,
limit=self._limit)
[docs] def order_by(self, *fields):
""" Order by the fields or field expressions specified.
To refer to the current relationship within a field or field
expression, use the underscore character ``_``. For example::
match.order_by("_.weight", "max(_.a, _.b)")
:param fields: fields or field expressions to order by
:return: refined :class:`.RelationshipMatch` object
"""
return self.__class__(self.graph,
nodes=self._nodes,
r_type=self._r_type,
predicates=self._predicates,
order_by=fields,
skip=self._skip,
limit=self._limit)
[docs] def skip(self, amount):
""" Skip the first `amount` relationships in the result.
:param amount: number of relationships to skip
:return: refined :class:`.RelationshipMatch` object
"""
return self.__class__(self.graph,
nodes=self._nodes,
r_type=self._r_type,
predicates=self._predicates,
order_by=self._order_by,
skip=amount,
limit=self._limit)
[docs] def limit(self, amount):
""" Limit to at most `amount` relationships.
:param amount: maximum number of relationships to return
:return: refined :class:`.RelationshipMatch` object
"""
return self.__class__(self.graph,
nodes=self._nodes,
r_type=self._r_type,
predicates=self._predicates,
order_by=self._order_by,
skip=self._skip,
limit=amount)
[docs]class RelationshipMatcher(object):
""" Matcher for selecting relationships that fulfil a specific
set of criteria.
:param graph: :class:`.Graph` object on which to perform matches
.. describe:: iter(matcher)
Iterate through the matches, yielding the relationship ID for each one in turn.
.. describe:: len(matcher)
Count the matched relationships and return the number matched.
.. describe:: relationship_id in matcher
Determine whether a given relationship ID exists.
.. describe:: matcher[relationship_id]
Match and return a specific relationship by ID.
This raises a :exc:`KeyError` if no such relationship can be found.
"""
_match_class = RelationshipMatch
def __init__(self, graph):
self.graph = graph
def __iter__(self):
for relationship in self.match():
yield relationship.identity
def __len__(self):
return len(self.match())
def __contains__(self, identity):
return self.match().where("id(_) = %d" % identity).exists()
def __getitem__(self, identity):
""" Return a relationship by identity.
"""
entity = self.get(identity)
if entity is None:
raise KeyError("Relationship %d not found" % identity)
return entity
[docs] def get(self, identity):
""" Create a new :class:`.RelationshipMatch` that filters by
identity and returns the first matched :class:`.Relationship`.
This can be used to match and return a :class:`.Relationship`
by ID.
>>> relationships.get(1234)
Relationship(...)
If no such :class:`.Relationship` is found, :py:const:`None` is
returned instead. Contrast with `matcher[1234]` which raises a
:py:exc:`KeyError` if no entity is found.
"""
t = type(identity)
if issubclass(t, (list, tuple, set, frozenset)):
matches = self.match().where("id(_) in %s" % cypher_repr(list(identity)))
return t(matches)
else:
return self.match().where("id(_) = %d" % identity).first()
[docs] def match(self, nodes=None, r_type=None, **properties):
""" Describe a basic relationship match using start and end
nodes plus relationship type.
:param nodes: Sequence or Set of start and end nodes (:const:`None` means any node);
a Set implies a match in any direction
:param r_type:
:param properties: set of property keys and values to match
:return: :class:`.RelationshipMatch` instance
"""
criteria = {}
if nodes is not None:
criteria["nodes"] = nodes
if r_type is not None:
criteria["r_type"] = r_type
if properties:
criteria["predicates"] = tuple(_property_predicates(properties))
return self._match_class(self.graph, **criteria)
