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 )