The hugegraph-python-client
is a Python client(SDK( for HugeGraph.
It is used to define graph structures, perform CRUD operations on graph data, manage schemas, and execute Gremlin queries. Both the hugegraph-llm
and hugegraph-ml
modules depend on this foundational library.
To install the hugegraph-python-client
, you can use pip:
pip3 install hugegraph-python
To install from the source, clone the repository and install the required dependencies:
git clone https://github.com/apache/incubator-hugegraph-ai.git
cd path/to/hugegraph-python-client
# Normal install
pip install .
# (Optional) install the devel version
pip install -e .
You can use the hugegraph-python-client
to define graph structures. Below is an example of how to define a graph:
from pyhugegraph.client import PyHugeClient
# Initialize the client
# For HugeGraph API version ≥ v3: (Or enable graphspace function)
# - The 'graphspace' parameter becomes relevant if graphspaces are enabled.(default name is 'DEFAULT')
# - Otherwise, the graphspace parameter is optional and can be ignored.
client = PyHugeClient("127.0.0.1", "8080", user="admin", pwd="admin", graph="hugegraph", graphspace="DEFAULT")
""""
Note:
Could refer to the official REST-API doc of your HugeGraph version for accurate details.
If some API is not as expected, please submit a issue or contact us.
"""
schema = client.schema()
schema.propertyKey("name").asText().ifNotExist().create()
schema.propertyKey("birthDate").asText().ifNotExist().create()
schema.vertexLabel("Person").properties("name", "birthDate").usePrimaryKeyId().primaryKeys("name").ifNotExist().create()
schema.vertexLabel("Movie").properties("name").usePrimaryKeyId().primaryKeys("name").ifNotExist().create()
schema.edgeLabel("ActedIn").sourceLabel("Person").targetLabel("Movie").ifNotExist().create()
print(schema.getVertexLabels())
print(schema.getEdgeLabels())
print(schema.getRelations())
# Init Graph
g = client.graph()
g.addVertex("Person", {"name": "Al Pacino", "birthDate": "1940-04-25"})
g.addVertex("Person", {"name": "Robert De Niro", "birthDate": "1943-08-17"})
g.addVertex("Movie", {"name": "The Godfather"})
g.addVertex("Movie", {"name": "The Godfather Part II"})
g.addVertex("Movie", {"name": "The Godfather Coda The Death of Michael Corleone"})
g.addEdge("ActedIn", "12:Al Pacino", "13:The Godfather", {})
g.addEdge("ActedIn", "12:Al Pacino", "13:The Godfather Part II", {})
g.addEdge("ActedIn", "12:Al Pacino", "13:The Godfather Coda The Death of Michael Corleone", {})
g.addEdge("ActedIn", "12:Robert De Niro", "13:The Godfather Part II", {})
res = g.getVertexById("12:Al Pacino").label
print(res)
g.close()
The hugegraph-python-client
provides comprehensive schema management capabilities.
# Define a property key
client.schema().propertyKey('name').dataType('STRING').cardinality('SINGLE').create()
# Define a vertex label
client.schema().vertexLabel('person').properties('name', 'age').primaryKeys('name').create()
# Define an edge label
client.schema().edgeLabel('knows').sourceLabel('person').targetLabel('person').properties('since').create()
# Define an index label
client.schema().indexLabel('personByName').onV('person').by('name').secondary().create()
The client allows you to perform CRUD operations on the graph data. Below are examples of how to create, read, update, and delete vertices and edges:
# Create vertices
v1 = client.graph().addVertex('person').property('name', 'John').property('age', 29).create()
v2 = client.graph().addVertex('person').property('name', 'Jane').property('age', 25).create()
# Create an edge
client.graph().addEdge(v1, 'knows', v2).property('since', '2020').create()
# Get a vertex by ID
vertex = client.graph().getVertexById(v1.id)
print(vertex)
# Get an edge by ID
edge = client.graph().getEdgeById(edge.id)
print(edge)
# Update a vertex
client.graph().updateVertex(v1.id).property('age', 30).update()
# Update an edge
client.graph().updateEdge(edge.id).property('since', '2021').update()
# Delete a vertex
client.graph().deleteVertex(v1.id)
# Delete an edge
client.graph().deleteEdge(edge.id)
The client also supports executing Gremlin queries:
# Execute a Gremlin query
g = client.gremlin()
res = g.exec("g.V().limit(5)")
print(res)
Other info are under 🚧 (Welcome to add more docs for it, users could refer java-client-doc for similar usage)
- Welcome to contribute to
hugegraph-python-client
. Please see the Guidelines for more information. - Code format: Please run
./style/code_format_and_analysis.sh
to format your code before submitting a PR.
Thank you to all the people who already contributed to hugegraph-python-client
!
- GitHub Issues: Feedback on usage issues and functional requirements (quick response)
- Feedback Email: [email protected] (subscriber only)