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

336 lines
11 KiB
Python

import os
from langchain_core.documents import Document
from langchain_community.graphs import Neo4jGraph
from langchain_community.graphs.graph_document import GraphDocument, Node, Relationship
from langchain_community.graphs.neo4j_graph import (
BASE_ENTITY_LABEL,
node_properties_query,
rel_properties_query,
rel_query,
)
test_data = [
GraphDocument(
nodes=[Node(id="foo", type="foo"), Node(id="bar", type="bar")],
relationships=[
Relationship(
source=Node(id="foo", type="foo"),
target=Node(id="bar", type="bar"),
type="REL",
)
],
source=Document(page_content="source document"),
)
]
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, params={"EXCLUDED_LABELS": [BASE_ENTITY_LABEL]}
)
relationships_properties = graph.query(
rel_properties_query, params={"EXCLUDED_LABELS": [BASE_ENTITY_LABEL]}
)
relationships = graph.query(
rel_query, params={"EXCLUDED_LABELS": [BASE_ENTITY_LABEL]}
)
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
)
def test_neo4j_timeout() -> None:
"""Test that neo4j uses the timeout correctly."""
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, timeout=0.1)
try:
graph.query("UNWIND range(0,100000,1) AS i MERGE (:Foo {id:i})")
except Exception as e:
assert (
e.code # type: ignore[attr-defined]
== "Neo.ClientError.Transaction.TransactionTimedOutClientConfiguration"
)
def test_neo4j_sanitize_values() -> None:
"""Test that neo4j uses the timeout correctly."""
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, sanitize=True)
# 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)
"""
)
graph.refresh_schema()
output = graph.query("RETURN range(0,130,1) AS result")
assert output == [{}]
def test_neo4j_add_data() -> None:
"""Test that neo4j correctly import graph document."""
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, sanitize=True)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Remove all constraints
graph.query("CALL apoc.schema.assert({}, {})")
graph.refresh_schema()
# Create two nodes and a relationship
graph.add_graph_documents(test_data)
output = graph.query(
"MATCH (n) RETURN labels(n) AS label, count(*) AS count ORDER BY label"
)
assert output == [{"label": ["bar"], "count": 1}, {"label": ["foo"], "count": 1}]
assert graph.structured_schema["metadata"]["constraint"] == []
def test_neo4j_add_data_source() -> None:
"""Test that neo4j correctly import graph document with source."""
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, sanitize=True)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Remove all constraints
graph.query("CALL apoc.schema.assert({}, {})")
graph.refresh_schema()
# Create two nodes and a relationship
graph.add_graph_documents(test_data, include_source=True)
output = graph.query(
"MATCH (n) RETURN labels(n) AS label, count(*) AS count ORDER BY label"
)
assert output == [
{"label": ["Document"], "count": 1},
{"label": ["bar"], "count": 1},
{"label": ["foo"], "count": 1},
]
assert graph.structured_schema["metadata"]["constraint"] == []
def test_neo4j_add_data_base() -> None:
"""Test that neo4j correctly import graph document with base_entity."""
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, sanitize=True)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Remove all constraints
graph.query("CALL apoc.schema.assert({}, {})")
graph.refresh_schema()
# Create two nodes and a relationship
graph.add_graph_documents(test_data, baseEntityLabel=True)
output = graph.query(
"MATCH (n) RETURN apoc.coll.sort(labels(n)) AS label, "
"count(*) AS count ORDER BY label"
)
assert output == [
{"label": [BASE_ENTITY_LABEL, "bar"], "count": 1},
{"label": [BASE_ENTITY_LABEL, "foo"], "count": 1},
]
assert graph.structured_schema["metadata"]["constraint"] != []
def test_neo4j_add_data_base_source() -> None:
"""Test that neo4j correctly import graph document with base_entity and source."""
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, sanitize=True)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Remove all constraints
graph.query("CALL apoc.schema.assert({}, {})")
graph.refresh_schema()
# Create two nodes and a relationship
graph.add_graph_documents(test_data, baseEntityLabel=True, include_source=True)
output = graph.query(
"MATCH (n) RETURN apoc.coll.sort(labels(n)) AS label, "
"count(*) AS count ORDER BY label"
)
assert output == [
{"label": ["Document"], "count": 1},
{"label": [BASE_ENTITY_LABEL, "bar"], "count": 1},
{"label": [BASE_ENTITY_LABEL, "foo"], "count": 1},
]
assert graph.structured_schema["metadata"]["constraint"] != []
def test_neo4j_filtering_labels() -> None:
"""Test that neo4j correctly filters excluded labels."""
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, sanitize=True)
# Delete all nodes in the graph
graph.query("MATCH (n) DETACH DELETE n")
# Remove all constraints
graph.query("CALL apoc.schema.assert({}, {})")
graph.query(
"CREATE (:`_Bloom_Scene_`)-[:_Bloom_HAS_SCENE_]->(:`_Bloom_Perspective_`)"
)
graph.refresh_schema()
# Assert both are empty
assert graph.structured_schema["node_props"] == {}
assert graph.structured_schema["relationships"] == []
def test_driver_config() -> None:
"""Test that neo4j works with driver config."""
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,
driver_config={"max_connection_pool_size": 1},
)
graph.query("RETURN 'foo'")
def test_enhanced_schema() -> None:
"""Test that neo4j works with driver config."""
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, enhanced_schema=True
)
graph.query("MATCH (n) DETACH DELETE n")
graph.add_graph_documents(test_data)
graph.refresh_schema()
expected_output = {
"node_props": {
"foo": [
{
"property": "id",
"type": "STRING",
"values": ["foo"],
"distinct_count": 1,
}
],
"bar": [
{
"property": "id",
"type": "STRING",
"values": ["bar"],
"distinct_count": 1,
}
],
},
"rel_props": {},
"relationships": [{"start": "foo", "type": "REL", "end": "bar"}],
}
# remove metadata portion of schema
del graph.structured_schema["metadata"]
assert graph.structured_schema == expected_output