For uploading specially formatted dictionary data to a Neo4j database instance.
pip install neo4j-uploader
from neo4j_uploader import batch_upload
config = {
"neo4j_uri": "<NEO4J_URI>",
"neo4j_user": "<NEO4J_USER>",
"neo4j_password": "<NEO4J_PASSWORD>",
"overwrite": true
}
data = {
"nodes": [
{
"labels":["Person"],
"key":"uid",
"records":[
{
"uid":"abc",
"name": "John Wick"
},
{
"uid":"bcd",
"name":"Cane"
}
]
},
{
"labels":["Dog"],
"key": "gid",
"records":[
{
"gid":"abc",
"name": "Daisy"
}
]
}
],
"relationships": [
{
"type":"LOVES",
"from_node": {
"record_key":"_from_uid",
"node_key":"uid",
"node_label":"Person"
},
"to_node": {
"record_key":"_to_gid",
"node_key":"gid",
"node_label": "Dog"
},
"exclude_keys":["_from_uid", "_to_gid"],
"records":[
{
"_from_uid":"abc",
"_to_gid":"abc"
}
]
}
]
}
result = batch_upload(config, data)
The original upload
function using the simpler schema also still works:
from neo4j_uploader import upload
credentials = ("database_uri", "user", "password")
data = {
"nodes":
{
"Person": [
{"name": "Bob", "age": 30},
{"name": "Jane", "age": 25}
]
},
"relationships":
{
"KNOWS": [
{"_from_name": "Bob", "_to_name": "Jane", "since": 2015}
]
}
}
upload(credentials, data, node_key="name)
The batch_upload_generator
function can be used as a generator. Example usage:
for result in batch_upload(config, data):
print(f"Upload progress: {result.nodes_created} nodes created")
Documentation for the current version.