Jupyter 连接gremlin-server

gremlin-server 是tinkerpop3提供的远程API.
他的具体配置可见：
https://github.com/aws/graph-notebook

最终是要在jupyter中完成可视化效果，需要：

1. 安装并配置gremlin-server
2. 安装并配置jupyter
3. 安装并配置graph-notebook

1. gremlin-server

https://github.com/aws/graph-notebook/tree/main/additional-databases/gremlin-server

安装最新版gremlinserver, 根据上述连接配置就可以了。这里主要是打开HTTP服务， 注意gremlin-server默认的图数据库是tinkergraph。
开启后你的gremlin-server就可以访问了, 默认是localhost的8182端口。

连接服务端的话我用的是python,需要安装gremlinpython库：
https://pypi.org/project/gremlinpython/

from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection
g = traversal().withRemote(DriverRemoteConnection('ws://localhost:8182/gremlin','g'))

这样就可以连接了(这里是ws连接)。

jupyter+graph-notebook

jupyter安装就按个anaconda就行了
主要是如何安装graph-notebook并配置连接gremlin。

查询

gremlin有两种方式，对于jvm语言可以直接在jvm上使用。 其他情况可以开一个gremlin-server通过网络交互使用。
使用python连接gremlin-server，有两种查询方式，一种是”原生”利用即python即gremlin-client。另一种是，python写client查询语句然后使用gremlin.client()将查询发送出到远程client：

# basic-client.py
#
# Connect to a Gremlin Server using a client connection.
#
# Note that in this case the Gremlin queries are sent to  the server as text strings.
# To see an example of using Gremlin byte code instead see the glv-client.py example.
#
# This example code assumes that the GremlinPython library has been installed using:
#
#     pip install gremlinpython
#
# Import some classes we will need to talk to our graph
from gremlin_python.driver.client import Client
# Path to our graph (this assumes a locally running Gremlin Server)
# Note how the path is a Web Socket (ws) connection.
client = Client('ws://localhost:8182/gremlin','g')
query = """
g.V().hasLabel('airport').
               sample(30).
               order().by('code').
               local(__.values('code','city').fold()).
               toList()
"""
result = client.submit(query).all().result()
client.close()

reference: https://github.com/krlawrence/graph/blob/master/sample-code/basic-client.py

如果出现了以上错误(Cannot run the event loop while another loop is running)，有效解决:

!pip install nest_asyncio
import nest_asyncio
nest_asyncio.apply()

reference: https://blog.csdn.net/weixin_35757704/article/details/108812809

使用 graph-notebook

使用jupyter哈市主要为了辅助做一些小笔记，那么在里边能嵌入图就更好啦：
https://github.com/aws/graph-notebook
现在我们要在jupyter中安装graph-notebook, 有效的解决方案就是按着github说明在终端一步一步做就好啦：

# pin specific versions of Jupyter, Tornado, and RDFLib dependencies
pip install notebook==5.7.13
pip install tornado==4.5.3
pip install rdflib==5.0.0
# install the package
pip install graph-notebook
# install and enable the visualization widget
jupyter nbextension install --py --sys-prefix graph_notebook.widgets
jupyter nbextension enable  --py --sys-prefix graph_notebook.widgets
# copy static html resources
python -m graph_notebook.static_resources.install
python -m graph_notebook.nbextensions.install
# copy premade starter notebooks
python -m graph_notebook.notebooks.install --destination ~/notebook/destination/dir  
# start jupyter
jupyter notebook ~/notebook/destination/dir

注意版本，一把梭安装之后，再开启jupyter我们就有graph_notebook_config的magic cell使用了，开启我们的gremlin-server, 连接：

%%graph_notebook_config
{
  "host": "localhost",
  "port": 8182,
  "ssl": false
}

导张图进去:

%%gremlin
graph.io(graphml()).readGraph('/Your_path/air-routes.graphml') // TinkerPop 3

查一下：

%%gremlin -p v,oute,inv,oute,inv,oute,inv
g.V().has('airport', 'code', 'AUS').
    repeat(outE().inV().simplePath()).
    until(has('code', 'WLG')).
    limit(5).
    path().
    by('code').
    by('dist')

灰常的棒