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Object-oriented Python library to interact with Neo4j standalone REST server
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Neo4j Python REST Client

synopsis:Allows interact with Neo4j standalone REST server from Python.

The first objective of Neo4j Python REST Client is to make transparent for Python programmers the use of a local database through or a remote database thanks to Neo4j REST Server. So, the syntax of this API is fully compatible with However, a new syntax is introduced in order to reach a more pythonic style.


Available throught Python Package Index:

$ pip install neo4jrestclient


$ easy_install neo4jrestclient

Getting started

The main class is GraphDatabase, exactly how in

>>> from neo4jrestclient import GraphDatabase

>>> gdb = GraphDatabase("http://localhost:7474/db/data/")

Two global options are available:

neo4jrestclient.request.CACHE = False # Default

If CACHE is 'True', a '.cache' directory is created and the future request to the same URL will be taken from cache And:

neo4jrestclient.request.DEBUG = False # Default

If DEBUG is 'True', 'httplib2' is set to debuglevel = 1.

Node, Relationships and Properties

Due to the syntax is fully compatible with, the next lines only show the commands added and its differences.

Creating a node:

>>> n = gdb.nodes.create()

# Equivalent to
>>> n = gdb.node()

Specify properties for new node:

>>> n = gdb.nodes.create(color="Red", widht=16, height=32)

# Or
>>> n = gdb.node(color="Red", widht=16, height=32)

Accessing node by id:

>>> n = gdb.node[14]

# Using the identifier or the URL is possible too
>>> n = gdb.nodes.get(14)

Accessing properties:

>>> value = n['key'] # Get property value

>>> n['key'] = value # Set property value

>>> del n['key']     # Remove property value

# Or the other way
>>> value = n.get('key', 'default') # Support 'default' values

>>> n.set('key', value)

>>> n.delete('key')

Besides, a Node object has other attributes:


>>> = {'name': 'John'}
{'name': 'John'}

# The URL and the identifier assigned by Neo4j are added too

>>> n.url

Create relationship:

>>> n1.Knows(n2)

# Or
>>> n1.relationships.create("Knows", n2) # Usefull when the name of
                                         # relationship is stored in a variable

Specify properties for new relationships:

>>> n1.Knows(n2, since=123456789, introduced_at="Christmas party")

# It's the same to
>>> n1.relationships.create("Knows", n2, since=123456789,
                                         introduced_at="Christmas party")

The creation returns a Relationship object, which has properties, setter and getters like a node:

>>> rel = n1.relationships.create("Knows", n2, since=123456789)

>>> rel.start
<Neo4j Node: http://localhost:7474/db/data/node/14>

>>> rel.end
<Neo4j Node: http://localhost:7474/db/data/node/32>

>>> rel.type

{'since': 123456789}

Or you can create the relationship using directly from GraphDatabse object:

>>> rel = gdb.relationships.create(n1, "Hates", n2)

>>> rel
<Neo4j Relationship: http://localhost:7474/db/data/relationship/66>

>>> rel.start
<Neo4j Node: http://localhost:7474/db/data/node/14>

>>> rel.end
<Neo4j Node: http://localhost:7474/db/data/node/32>

Others functions over 'relationships' attribute are possible. Like get all, incoming or outgoing relationships (typed or not):

>>> rels = n1.relationships.all()
[<Neo4j Relationship: http://localhost:7474/db/data/relationship/35843>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35840>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35841>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35842>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35847>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35846>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35845>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35844>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/11>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/10>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/9>]

>>> rels = n1.relationships.incoming(types=["Knows"])
[<Neo4j Relationship: http://localhost:7474/db/data/relationship/35843>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35840>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/11>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/10>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/9>]

>>> rels = n1.relationships.outgoing(["Knows", "Loves"])
[<Neo4j Relationship: http://localhost:7474/db/data/relationship/35842>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/35847>]


The traversals framework is supported too with the same syntax of, but with some added issues.

Regular way:

>>> n1.relationships.create("Knows", n2, since=1970)
<Neo4j Relationship: http://localhost:7474/db/data/relationship/36009>

>>> class TraversalClass(gdb.Traversal):
   ...:     types = [
   ...:         Undirected.Knows
   ...:     ]

>>> [traversal for traversal in TraversalClass(n1)]
[<Neo4j Node: http://localhost:7474/db/data/node/15880>]

Added way (more ''pythonic''):

>>> n1.relationships.create("Knows", n2, since=1970)
<Neo4j Relationship: http://localhost:7474/db/data/relationship/36009>

>>> n1.traverse(types=[neo4jrestclient.Undirected.Knows])
[<Neo4j Node: http://localhost:7474/db/data/node/15880>]


Due to the original currently doesn't provide support for the new index component, for nodes and for relationships, the syntax for indexing is not compliant, quite different and, hopefully, more intuitive:

>>> i1 =  gdb.nodes.indexes.create("index1")

>>> i2 =  gdb.nodes.indexes.create("index2", type="fulltext", provider="lucene")

>>> gdb.nodes.indexes
{u'index2': <Neo4j Index: http://localhost:7474/db/data/index/node/index2>,
 u'index1': <Neo4j Index: http://localhost:7474/db/data/index/node/index1>}

>>> gdb.nodes.indexes.get("index1")
<Neo4j Index: http://localhost:7474/db/data/index/node/index1>

You can query and add elements to the index like a 3-dimensional array or using the convenience methods:

>>> i1["key"]["value"]

>>> i1.get("key")["value"]

>>> i1.get("key", "value")

>>> i1["key"]["value"] = n1

>>> i1.add("key", "value", n2)

>>> i1["key"]["value"]
[<Neo4j Node: http://localhost:7474/db/data/node/1>,
 <Neo4j Node: http://localhost:7474/db/data/node/2>]

The advanced query is also supported if the index is created with the type 'fulltext' ('lucene' is the default provider):

>>> n1 = gdb.nodes.create(name="John Doe", place="Texas")

>>> n2 = gdb.nodes.create(name="Michael Donald", place="Tijuana")

>>> i1 = gdb.nodes.indexes.create(name="do", type="fulltext")

>>> i1["surnames"]["doe"] = n1

>>> i1["surnames"]["donald"] = n2

>>> i1.query("surnames", "do*")
[<Neo4j Node: http://localhost:7474/db/data/node/295>,
 <Neo4j Node: http://localhost:7474/db/data/node/296>]

Deleting nodes from an index:

>>> i1.delete("key", "values", n1)

>>> i1.delete("key", None, n2)

And in order to work with indexes of relationships the instructions are the same:

>>> i3 =  gdb.relationships.indexes.create("index3")


The server plugins are supported as extensions of GraphDatabase, Node or Relationship objects:

>>> gdb.extensions
{u'GetAll': <Neo4j ExtensionModule: [u'get_all_nodes', u'getAllRelationships']>}
>>> gdb.extensions.GetAll
<Neo4j ExtensionModule: [u'get_all_nodes', u'getAllRelationships']>

>>> gdb.extensions.GetAll.getAllRelationships()

[<Neo4j Relationship: http://localhost:7474/db/data/relationship/0>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/1>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/2>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/3>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/4>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/5>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/6>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/7>,
 <Neo4j Relationship: http://localhost:7474/db/data/relationship/8>]

An example using extensions over nodes:

>>> n1 = gdb.nodes.get(0)

>>> n1.extensions
{u'DepthTwo': <Neo4j ExtensionModule: [u'nodesOnDepthTwo', u'relationshipsOnDepthTwo', u'pathsOnDepthTwo']>, u'ShortestPath': <Neo4j ExtensionModule: [u'shortestPath']>}

>>> n2 = gdb.nodes.get(1)

>>> n1.relationships.create("Kwnos", n2)
<Neo4j Relationship: http://localhost:7474/db/data/relationship/36>

>>> n1.extensions.ShortestPath
<Neo4j ExtensionModule: [u'shortestPath']>

>>> n1.extensions.ShortestPath.shortestPath.parameters

[{u'description': u'The node to find the shortest path to.',
  u'name': u'target',
  u'optional': False,
  u'type': u'node'},
 {u'description': u'The relationship types to follow when searching for the shortest path(s). Order is insignificant, if omitted all types are followed.',
  u'name': u'types',
  u'optional': True,
  u'type': u'strings'},
 {u'description': u'The maximum path length to search for, default value (if omitted) is 4.',
  u'name': u'depth',
  u'optional': True,
  u'type': u'integer'}]


Currently, the transaction support is not implemented in Neo4j REST server, so the Python client is not able to provide it.

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