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langchain/libs/community/tests/integration_tests/graphs/test_neo4j.py

72 lines
2.1 KiB
Python

import os
from langchain_community.graphs import Neo4jGraph
from langchain_community.graphs.neo4j_graph import (
node_properties_query,
rel_properties_query,
rel_query,
)
def test_cypher_return_correct_schema() -> None:
"""Test that chain returns direct results."""
url = os.environ.get("NEO4J_URI")
username = os.environ.get("NEO4J_USERNAME")
password = os.environ.get("NEO4J_PASSWORD")
assert url is not None
assert username is not None
assert password is not None
graph = Neo4jGraph(
url=url,
username=username,
password=password,
)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Create two nodes and a relationship
graph.query(
"""
CREATE (la:LabelA {property_a: 'a'})
CREATE (lb:LabelB)
CREATE (lc:LabelC)
MERGE (la)-[:REL_TYPE]-> (lb)
MERGE (la)-[:REL_TYPE {rel_prop: 'abc'}]-> (lc)
"""
)
# Refresh schema information
graph.refresh_schema()
node_properties = graph.query(node_properties_query)
relationships_properties = graph.query(rel_properties_query)
relationships = graph.query(rel_query)
expected_node_properties = [
{
"output": {
"properties": [{"property": "property_a", "type": "STRING"}],
"labels": "LabelA",
}
}
]
expected_relationships_properties = [
{
"output": {
"type": "REL_TYPE",
"properties": [{"property": "rel_prop", "type": "STRING"}],
}
}
]
expected_relationships = [
{"output": {"start": "LabelA", "type": "REL_TYPE", "end": "LabelB"}},
{"output": {"start": "LabelA", "type": "REL_TYPE", "end": "LabelC"}},
]
assert node_properties == expected_node_properties
assert relationships_properties == expected_relationships_properties
# Order is not guaranteed with Neo4j returns
assert (
sorted(relationships, key=lambda x: x["output"]["end"])
== expected_relationships
)