| """End-to-end integration tests for Apache AGE graph memory. |
| |
| These tests run against a real Apache AGE instance (via Docker) and exercise |
| every layer of the MemoryGraph class: connection, node MERGE, relationship |
| MERGE, embedding storage/retrieval, similarity search, deletion, and the |
| full add/search/get_all/delete_all/reset public API. |
| |
| Requirements: |
| docker run --name age-test \ |
| -e POSTGRES_DB=mem0_test -e POSTGRES_USER=mem0_user \ |
| -e POSTGRES_PASSWORD=mem0_pass -p 15432:5432 -d apache/age |
| |
| Run: |
| pytest tests/memory/test_apache_age_e2e.py -v -s |
| """ |
|
|
| import json |
| import os |
| import pytest |
| from unittest.mock import MagicMock, patch |
|
|
| import age |
|
|
| from mem0.memory.apache_age_memory import MemoryGraph |
|
|
| |
|
|
| AGE_HOST = os.environ.get("AGE_HOST", "localhost") |
| AGE_PORT = int(os.environ.get("AGE_PORT", "15432")) |
| AGE_DB = os.environ.get("AGE_DB", "mem0_test") |
| AGE_USER = os.environ.get("AGE_USER", "mem0_user") |
| AGE_PASS = os.environ.get("AGE_PASS", "mem0_pass") |
| GRAPH_NAME = "e2e_test_graph" |
|
|
|
|
| def _age_available(): |
| """Check if the AGE database is reachable.""" |
| try: |
| ag = age.connect( |
| graph=GRAPH_NAME, |
| host=AGE_HOST, port=AGE_PORT, |
| dbname=AGE_DB, user=AGE_USER, password=AGE_PASS, |
| ) |
| ag.close() |
| return True |
| except Exception: |
| return False |
|
|
|
|
| skip_no_age = pytest.mark.skipif( |
| not _age_available(), |
| reason="Apache AGE not available (start Docker container first)", |
| ) |
|
|
|
|
| |
|
|
| def _make_e2e_instance(graph_name=GRAPH_NAME): |
| """Create a MemoryGraph instance wired to the real AGE database, |
| but with LLM and embedding model mocked out.""" |
| with patch.object(MemoryGraph, "__init__", return_value=None): |
| mg = MemoryGraph.__new__(MemoryGraph) |
|
|
| mg.ag = age.connect( |
| graph=graph_name, |
| host=AGE_HOST, port=AGE_PORT, |
| dbname=AGE_DB, user=AGE_USER, password=AGE_PASS, |
| ) |
| mg.graph_name = graph_name |
| mg.threshold = 0.7 |
|
|
| |
| mg.llm_provider = "openai" |
| mg.llm = MagicMock() |
| mg.config = MagicMock() |
| mg.config.graph_store.custom_prompt = None |
|
|
| |
| |
| |
| def _fake_embed(text): |
| """Map text to a deterministic 16-dim vector for testing.""" |
| import hashlib |
| digest = hashlib.sha256(text.encode()).digest() |
| return [b / 255.0 for b in digest[:16]] |
|
|
| mg.embedding_model = MagicMock() |
| mg.embedding_model.embed = _fake_embed |
| mg.user_id = None |
|
|
| return mg |
|
|
|
|
| def _cleanup(mg): |
| """Remove all nodes and close the connection.""" |
| try: |
| mg._exec_cypher("MATCH (n) DETACH DELETE n") |
| mg.ag.commit() |
| except Exception: |
| pass |
| try: |
| mg.ag.close() |
| except Exception: |
| pass |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestExecCypher: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_create_and_return_vertex(self): |
| results = self.mg._exec_cypher( |
| "CREATE (n {name: %s, val: %s}) RETURN n", |
| params=("test_node", 42), |
| ) |
| self.mg.ag.commit() |
| assert len(results) == 1 |
| props = results[0] |
| assert props["name"] == "test_node" |
| assert props["val"] == 42 |
|
|
| def test_return_scalars_with_cols(self): |
| self.mg._exec_cypher( |
| "CREATE (a {name: %s, user_id: %s})", params=("x", "u1") |
| ) |
| self.mg._exec_cypher( |
| "CREATE (b {name: %s, user_id: %s})", params=("y", "u1") |
| ) |
| self.mg._exec_cypher( |
| "MATCH (a {name: %s}), (b {name: %s}) CREATE (a)-[:LINK]->(b)", |
| params=("x", "y"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n)-[r]->(m) RETURN n.name, type(r), m.name", |
| cols=["source", "rel", "target"], |
| ) |
| assert len(results) == 1 |
| assert results[0] == {"source": "x", "rel": "LINK", "target": "y"} |
|
|
| def test_empty_result(self): |
| results = self.mg._exec_cypher( |
| "MATCH (n {name: %s}) RETURN n", params=("nonexistent",) |
| ) |
| assert results == [] |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestMergeNode: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_creates_node_on_first_merge(self): |
| self.mg._merge_node("u1", "alice", [0.1, 0.2, 0.3]) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s, name: %s}) RETURN n", |
| params=("u1", "alice"), |
| ) |
| assert len(results) == 1 |
| props = results[0] |
| assert props["name"] == "alice" |
| assert props["mentions"] == 1 |
| assert props["created"] is not None |
| assert json.loads(props["embedding"]) == [0.1, 0.2, 0.3] |
|
|
| def test_merge_is_idempotent_increments_mentions(self): |
| self.mg._merge_node("u1", "bob", [0.4, 0.5]) |
| self.mg.ag.commit() |
| self.mg._merge_node("u1", "bob", [0.4, 0.5]) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s, name: %s}) RETURN n", |
| params=("u1", "bob"), |
| ) |
| assert len(results) == 1 |
| assert results[0]["mentions"] == 2 |
|
|
| def test_merge_with_agent_id(self): |
| self.mg._merge_node("u1", "carol", [0.6], agent_id="agent_1") |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s, name: %s}) RETURN n", |
| params=("u1", "carol"), |
| ) |
| assert results[0]["agent_id"] == "agent_1" |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestRelationships: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_create_and_query_relationship(self): |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg._merge_node("u1", "bob", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {user_id: %s, name: %s}), (d {user_id: %s, name: %s}) " |
| "MERGE (s)-[r:KNOWS]->(d)", |
| params=("u1", "alice", "u1", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s})-[r]->(m) RETURN n.name, type(r), m.name", |
| cols=["source", "rel", "target"], |
| params=("u1",), |
| ) |
| assert len(results) == 1 |
| assert results[0]["source"] == "alice" |
| assert results[0]["rel"] == "KNOWS" |
| assert results[0]["target"] == "bob" |
|
|
| def test_multiple_relationships(self): |
| for name in ["alice", "bob", "carol"]: |
| self.mg._merge_node("u1", name, [0.0]) |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:LIKES]->(d)", |
| params=("alice", "carol"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {name: %s})-[r]->(m) RETURN n.name, type(r), m.name", |
| cols=["source", "rel", "target"], |
| params=("alice",), |
| ) |
| assert len(results) == 2 |
| rels = {r["rel"] for r in results} |
| assert rels == {"KNOWS", "LIKES"} |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestEmbeddingSimilarity: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_embedding_roundtrip(self): |
| emb = [0.1, 0.2, 0.3, 0.4] + [0.0]*12 |
| self.mg._merge_node("u1", "node_a", emb) |
| self.mg.ag.commit() |
|
|
| results = self.mg._exec_cypher( |
| "MATCH (n {name: %s}) RETURN n", params=("node_a",) |
| ) |
| stored = json.loads(results[0]["embedding"]) |
| assert stored == emb |
|
|
| def test_find_similar_node_exact_match(self): |
| emb = [1.0, 0.0, 0.0, 0.0] + [0.0]*12 |
| self.mg._merge_node("u1", "target", emb) |
| self.mg.ag.commit() |
|
|
| match = self.mg._find_similar_node(emb, {"user_id": "u1"}, threshold=0.99) |
| assert match is not None |
| assert match["name"] == "target" |
|
|
| def test_find_similar_node_no_match_below_threshold(self): |
| self.mg._merge_node("u1", "far_away", [1.0, 0.0, 0.0, 0.0] + [0.0]*12) |
| self.mg.ag.commit() |
|
|
| orthogonal = [0.0, 1.0, 0.0, 0.0] + [0.0]*12 |
| match = self.mg._find_similar_node(orthogonal, {"user_id": "u1"}, threshold=0.5) |
| assert match is None |
|
|
| def test_find_similar_node_picks_closest(self): |
| |
| self.mg._merge_node("u1", "close", [0.9, 0.1, 0.0, 0.0] + [0.0]*12) |
| self.mg._merge_node("u1", "far", [0.0, 0.0, 1.0, 0.0] + [0.0]*12) |
| self.mg.ag.commit() |
|
|
| query = [1.0, 0.0, 0.0, 0.0] + [0.0]*12 |
| match = self.mg._find_similar_node(query, {"user_id": "u1"}, threshold=0.5) |
| assert match is not None |
| assert match["name"] == "close" |
|
|
| def test_find_similar_node_respects_user_id(self): |
| vec = [1.0, 0.0, 0.0, 0.0] + [0.0]*12 |
| self.mg._merge_node("u1", "mine", vec) |
| self.mg._merge_node("u2", "theirs", vec) |
| self.mg.ag.commit() |
|
|
| match = self.mg._find_similar_node( |
| vec, {"user_id": "u2"}, threshold=0.9 |
| ) |
| assert match is not None |
| assert match["name"] == "theirs" |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestPublicAPICRUD: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_get_all_returns_relationships(self): |
| self.mg._merge_node("u1", "alice", [0.0]) |
| self.mg._merge_node("u1", "bob", [0.0]) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:FRIEND]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 1 |
| assert results[0]["source"] == "alice" |
| assert results[0]["relationship"] == "FRIEND" |
| assert results[0]["target"] == "bob" |
|
|
| def test_get_all_empty_for_different_user(self): |
| self.mg._merge_node("u1", "alice", [0.0]) |
| self.mg._merge_node("u1", "bob", [0.0]) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:FRIEND]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u999"}) |
| assert results == [] |
|
|
| def test_get_all_respects_limit(self): |
| for i in range(5): |
| self.mg._merge_node("u1", f"src_{i}", [0.0]) |
| self.mg._merge_node("u1", f"dst_{i}", [0.0]) |
| self.mg.ag.commit() |
| for i in range(5): |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:REL]->(d)", |
| params=(f"src_{i}", f"dst_{i}"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}, limit=3) |
| assert len(results) == 3 |
|
|
| def test_delete_all_removes_user_data(self): |
| self.mg._merge_node("u1", "alice", [0.0]) |
| self.mg._merge_node("u1", "bob", [0.0]) |
| self.mg._merge_node("u2", "carol", [0.0]) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| self.mg.delete_all({"user_id": "u1"}) |
|
|
| |
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s}) RETURN n", params=("u1",) |
| ) |
| assert results == [] |
|
|
| |
| results = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s}) RETURN n", params=("u2",) |
| ) |
| assert len(results) == 1 |
|
|
| def test_reset_clears_everything(self): |
| self.mg._merge_node("u1", "alice", [0.0]) |
| self.mg._merge_node("u2", "bob", [0.0]) |
| self.mg.ag.commit() |
|
|
| self.mg.reset() |
|
|
| results = self.mg._exec_cypher("MATCH (n) RETURN n") |
| assert results == [] |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestDeleteEntities: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_deletes_specific_relationship(self): |
| self.mg._merge_node("u1", "alice", [0.0]) |
| self.mg._merge_node("u1", "bob", [0.0]) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:LIKES]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| self.mg._delete_entities( |
| [{"source": "alice", "destination": "bob", "relationship": "KNOWS"}], |
| {"user_id": "u1"}, |
| ) |
|
|
| |
| results = self.mg._exec_cypher( |
| "MATCH (n {name: %s})-[r]->(m) RETURN n.name, type(r), m.name", |
| cols=["source", "rel", "target"], |
| params=("alice",), |
| ) |
| assert len(results) == 1 |
| assert results[0]["rel"] == "LIKES" |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestAddEntities: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_creates_new_nodes_and_relationship(self): |
| result = self.mg._add_entities( |
| [{"source": "alice", "destination": "bob", "relationship": "KNOWS"}], |
| {"user_id": "u1"}, |
| entity_type_map={"alice": "person", "bob": "person"}, |
| ) |
| assert len(result) == 1 |
| assert result[0][0]["source"] == "alice" |
| assert result[0][0]["relationship"] == "KNOWS" |
| assert result[0][0]["target"] == "bob" |
|
|
| |
| nodes = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s}) RETURN n", params=("u1",) |
| ) |
| names = {n["name"] for n in nodes} |
| assert names == {"alice", "bob"} |
|
|
| def test_merges_to_existing_similar_node(self): |
| |
| emb = self.mg.embedding_model.embed("alice") |
| self.mg._merge_node("u1", "alice", emb) |
| self.mg.ag.commit() |
|
|
| |
| self.mg.threshold = 0.99 |
| self.mg._add_entities( |
| [{"source": "alice", "destination": "carol", "relationship": "LIKES"}], |
| {"user_id": "u1"}, |
| entity_type_map={"alice": "person", "carol": "person"}, |
| ) |
|
|
| |
| nodes = self.mg._exec_cypher( |
| "MATCH (n {user_id: %s, name: %s}) RETURN n", |
| params=("u1", "alice"), |
| ) |
| assert len(nodes) == 1 |
| |
| assert nodes[0]["mentions"] >= 2 |
|
|
| def test_add_multiple_relationships(self): |
| entities = [ |
| {"source": "alice", "destination": "bob", "relationship": "KNOWS"}, |
| {"source": "alice", "destination": "carol", "relationship": "LIKES"}, |
| {"source": "bob", "destination": "carol", "relationship": "WORKS_WITH"}, |
| ] |
| self.mg._add_entities(entities, {"user_id": "u1"}, entity_type_map={}) |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 3 |
| rels = {(r["source"], r["relationship"], r["target"]) for r in results} |
| assert ("alice", "KNOWS", "bob") in rels |
| assert ("alice", "LIKES", "carol") in rels |
| assert ("bob", "WORKS_WITH", "carol") in rels |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestSearchGraphDB: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_finds_related_entities(self): |
| |
| emb_alice = self.mg.embedding_model.embed("alice") |
| emb_bob = self.mg.embedding_model.embed("bob") |
| self.mg._merge_node("u1", "alice", emb_alice) |
| self.mg._merge_node("u1", "bob", emb_bob) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| self.mg.threshold = 0.99 |
| results = self.mg._search_graph_db(["alice"], {"user_id": "u1"}) |
| assert len(results) >= 1 |
| found_knows = any( |
| r["source"] == "alice" and r["relationship"] == "KNOWS" and r["destination"] == "bob" |
| for r in results |
| ) |
| assert found_knows, f"Expected KNOWS relationship in {results}" |
|
|
| def test_search_returns_empty_for_no_matches(self): |
| self.mg.threshold = 0.99 |
| results = self.mg._search_graph_db(["nonexistent"], {"user_id": "u1"}) |
| assert results == [] |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestAddSearchIntegration: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_full_add_and_search_cycle(self): |
| """Simulates the full add() → search() cycle with mocked LLM responses.""" |
| filters = {"user_id": "test_user_1"} |
|
|
| |
| self.mg.llm.generate_response.side_effect = [ |
| |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Alice", "entity_type": "person"}, |
| {"entity": "Bob", "entity_type": "person"}, |
| ]}}]}, |
| |
| {"tool_calls": [{"name": "add_entities", "arguments": {"entities": [ |
| {"source": "Alice", "relationship": "knows", "destination": "Bob"}, |
| ]}}]}, |
| |
| {"tool_calls": []}, |
| |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Alice", "entity_type": "person"}, |
| ]}}]}, |
| ] |
|
|
| |
| add_result = self.mg.add("Alice knows Bob", filters) |
| assert "added_entities" in add_result |
| assert "deleted_entities" in add_result |
|
|
| |
| all_rels = self.mg.get_all(filters) |
| assert len(all_rels) == 1 |
| assert all_rels[0]["source"] == "alice" |
| |
| assert all_rels[0]["relationship"] == "knows" |
| assert all_rels[0]["target"] == "bob" |
|
|
| |
| search_results = self.mg.search("Who does Alice know?", filters) |
| assert len(search_results) >= 1 |
| assert any(r["source"] == "alice" and r["destination"] == "bob" for r in search_results) |
|
|
| |
| self.mg.delete_all(filters) |
| remaining = self.mg.get_all(filters) |
| assert remaining == [] |
|
|
| def test_add_then_update_relationship(self): |
| """Tests that adding conflicting data removes old relationships.""" |
| filters = {"user_id": "test_user_2"} |
|
|
| |
| self.mg.llm.generate_response.side_effect = [ |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Alice", "entity_type": "person"}, |
| {"entity": "cats", "entity_type": "animal"}, |
| ]}}]}, |
| {"tool_calls": [{"name": "add_entities", "arguments": {"entities": [ |
| {"source": "Alice", "relationship": "likes", "destination": "cats"}, |
| ]}}]}, |
| {"tool_calls": []}, |
| ] |
| self.mg.add("Alice likes cats", filters) |
|
|
| all_rels = self.mg.get_all(filters) |
| assert len(all_rels) == 1 |
| assert all_rels[0]["relationship"] == "likes" |
|
|
| |
| self.mg.llm.generate_response.side_effect = [ |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Alice", "entity_type": "person"}, |
| {"entity": "cats", "entity_type": "animal"}, |
| ]}}]}, |
| {"tool_calls": [{"name": "add_entities", "arguments": {"entities": [ |
| {"source": "Alice", "relationship": "dislikes", "destination": "cats"}, |
| ]}}]}, |
| |
| {"tool_calls": [{"name": "delete_graph_memory", "arguments": { |
| "source": "alice", "relationship": "likes", "destination": "cats", |
| }}]}, |
| ] |
| self.mg.add("Alice dislikes cats", filters) |
|
|
| all_rels = self.mg.get_all(filters) |
| rels = {r["relationship"] for r in all_rels} |
| assert "likes" not in rels |
| assert "dislikes" in rels |
|
|
| self.mg.delete_all(filters) |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestMultiTenantIsolation: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_users_cant_see_each_others_data(self): |
| |
| self.mg._merge_node("user_1", "alice", [0.0]*16) |
| self.mg._merge_node("user_1", "bob", [0.0]*16) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {user_id: %s, name: %s}), (d {user_id: %s, name: %s}) " |
| "MERGE (s)-[:KNOWS]->(d)", |
| params=("user_1", "alice", "user_1", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| self.mg._merge_node("user_2", "carol", [0.0]*16) |
| self.mg._merge_node("user_2", "dave", [0.0]*16) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {user_id: %s, name: %s}), (d {user_id: %s, name: %s}) " |
| "MERGE (s)-[:WORKS_WITH]->(d)", |
| params=("user_2", "carol", "user_2", "dave"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| u1_results = self.mg.get_all({"user_id": "user_1"}) |
| assert len(u1_results) == 1 |
| assert u1_results[0]["source"] == "alice" |
|
|
| |
| u2_results = self.mg.get_all({"user_id": "user_2"}) |
| assert len(u2_results) == 1 |
| assert u2_results[0]["source"] == "carol" |
|
|
| |
| self.mg.delete_all({"user_id": "user_1"}) |
| u2_after = self.mg.get_all({"user_id": "user_2"}) |
| assert len(u2_after) == 1 |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestAgentRunIdFiltering: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_get_all_filters_by_agent_id(self): |
| |
| self.mg._merge_node("u1", "alice", [0.0]*16, agent_id="agent_a") |
| self.mg._merge_node("u1", "bob", [0.0]*16, agent_id="agent_a") |
| self.mg._merge_node("u1", "carol", [0.0]*16, agent_id="agent_b") |
| self.mg._merge_node("u1", "dave", [0.0]*16, agent_id="agent_b") |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:LIKES]->(d)", |
| params=("carol", "dave"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| results_a = self.mg.get_all({"user_id": "u1", "agent_id": "agent_a"}) |
| assert len(results_a) == 1 |
| assert results_a[0]["source"] == "alice" |
|
|
| |
| results_b = self.mg.get_all({"user_id": "u1", "agent_id": "agent_b"}) |
| assert len(results_b) == 1 |
| assert results_b[0]["source"] == "carol" |
|
|
| def test_delete_all_filters_by_agent_id(self): |
| self.mg._merge_node("u1", "alice", [0.0]*16, agent_id="agent_a") |
| self.mg._merge_node("u1", "bob", [0.0]*16, agent_id="agent_a") |
| self.mg._merge_node("u1", "carol", [0.0]*16, agent_id="agent_b") |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:REL]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| |
| self.mg.delete_all({"user_id": "u1", "agent_id": "agent_a"}) |
|
|
| |
| nodes_a = self.mg._exec_cypher( |
| "MATCH (n) WHERE n.user_id = %s AND n.agent_id = %s RETURN n", |
| params=("u1", "agent_a"), |
| ) |
| assert nodes_a == [] |
|
|
| |
| nodes_b = self.mg._exec_cypher( |
| "MATCH (n) WHERE n.user_id = %s AND n.agent_id = %s RETURN n", |
| params=("u1", "agent_b"), |
| ) |
| assert len(nodes_b) == 1 |
|
|
| def test_get_all_filters_by_run_id(self): |
| self.mg._merge_node("u1", "alice", [0.0]*16, run_id="run_1") |
| self.mg._merge_node("u1", "bob", [0.0]*16, run_id="run_1") |
| self.mg._merge_node("u1", "carol", [0.0]*16, run_id="run_2") |
| self.mg._merge_node("u1", "dave", [0.0]*16, run_id="run_2") |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:R1]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:R2]->(d)", |
| params=("carol", "dave"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1", "run_id": "run_1"}) |
| assert len(results) == 1 |
| assert results[0]["source"] == "alice" |
|
|
| def test_delete_all_filters_by_run_id(self): |
| self.mg._merge_node("u1", "alice", [0.0]*16, run_id="run_1") |
| self.mg._merge_node("u1", "bob", [0.0]*16, run_id="run_2") |
| self.mg.ag.commit() |
|
|
| self.mg.delete_all({"user_id": "u1", "run_id": "run_1"}) |
|
|
| |
| nodes_1 = self.mg._exec_cypher( |
| "MATCH (n) WHERE n.user_id = %s AND n.run_id = %s RETURN n", |
| params=("u1", "run_1"), |
| ) |
| assert nodes_1 == [] |
|
|
| |
| nodes_2 = self.mg._exec_cypher( |
| "MATCH (n) WHERE n.user_id = %s AND n.run_id = %s RETURN n", |
| params=("u1", "run_2"), |
| ) |
| assert len(nodes_2) == 1 |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestEdgeCases: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_node_name_with_underscores(self): |
| """Entity names go through _remove_spaces_from_entities which lowercases |
| and replaces spaces with underscores.""" |
| self.mg._merge_node("u1", "new_york_city", [0.0]*16) |
| self.mg._merge_node("u1", "united_states", [0.0]*16) |
| self.mg.ag.commit() |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:LOCATED_IN]->(d)", |
| params=("new_york_city", "united_states"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 1 |
| assert results[0]["source"] == "new_york_city" |
| assert results[0]["target"] == "united_states" |
|
|
| def test_node_with_apostrophe_in_name(self): |
| """The AGE Python driver has a known limitation where single quotes in |
| parameterized values cause a syntax error due to double-quoting in |
| buildCypher(). In practice this is not hit because entity names go |
| through _remove_spaces_from_entities which sanitizes them.""" |
| import psycopg2 |
| with pytest.raises(psycopg2.errors.SyntaxError): |
| self.mg._merge_node("u1", "o'brien", [0.0]*16) |
|
|
| def test_empty_graph_get_all(self): |
| results = self.mg.get_all({"user_id": "u1"}) |
| assert results == [] |
|
|
| def test_empty_graph_delete_all_no_error(self): |
| |
| self.mg.delete_all({"user_id": "u1"}) |
|
|
| def test_empty_graph_reset_no_error(self): |
| self.mg.reset() |
|
|
| def test_duplicate_relationship_merge_is_idempotent(self): |
| """MERGE on the same relationship twice should not create duplicates.""" |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg._merge_node("u1", "bob", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| for _ in range(3): |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:FRIENDS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 1 |
|
|
| def test_bidirectional_relationships(self): |
| """Two nodes can have relationships in both directions.""" |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg._merge_node("u1", "bob", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:FOLLOWS]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:FOLLOWS]->(d)", |
| params=("bob", "alice"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 2 |
| pairs = {(r["source"], r["target"]) for r in results} |
| assert ("alice", "bob") in pairs |
| assert ("bob", "alice") in pairs |
|
|
| def test_self_referencing_relationship(self): |
| """A node can have a relationship to itself.""" |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:KNOWS_SELF]->(d)", |
| params=("alice", "alice"), |
| ) |
| self.mg.ag.commit() |
|
|
| results = self.mg.get_all({"user_id": "u1"}) |
| assert len(results) == 1 |
| assert results[0]["source"] == "alice" |
| assert results[0]["target"] == "alice" |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestSearchGraphDBFiltering: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_search_filters_by_agent_id(self): |
| emb = self.mg.embedding_model.embed("alice") |
| self.mg._merge_node("u1", "alice", emb, agent_id="agent_a") |
| self.mg._merge_node("u1", "bob", [0.0]*16, agent_id="agent_a") |
| self.mg._merge_node("u1", "alice_clone", emb, agent_id="agent_b") |
| self.mg._merge_node("u1", "carol", [0.0]*16, agent_id="agent_b") |
| self.mg.ag.commit() |
|
|
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:R1]->(d)", |
| params=("alice", "bob"), |
| ) |
| self.mg._exec_cypher( |
| "MATCH (s {name: %s}), (d {name: %s}) MERGE (s)-[:R2]->(d)", |
| params=("alice_clone", "carol"), |
| ) |
| self.mg.ag.commit() |
|
|
| self.mg.threshold = 0.99 |
| results = self.mg._search_graph_db( |
| ["alice"], {"user_id": "u1", "agent_id": "agent_a"} |
| ) |
| |
| for r in results: |
| assert r["source"] != "alice_clone", f"Leaked agent_b data: {r}" |
|
|
| def test_find_similar_node_filters_by_run_id(self): |
| emb = [1.0, 0.0, 0.0, 0.0] + [0.0]*12 |
| self.mg._merge_node("u1", "target_run1", emb, run_id="run_1") |
| self.mg._merge_node("u1", "target_run2", emb, run_id="run_2") |
| self.mg.ag.commit() |
|
|
| match = self.mg._find_similar_node( |
| emb, {"user_id": "u1", "run_id": "run_1"}, threshold=0.99 |
| ) |
| assert match is not None |
| assert match["name"] == "target_run1" |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestFullLifecycleWithAgentId: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_add_search_delete_with_agent_id(self): |
| """Full cycle: add → get_all → search → delete_all, all scoped by agent_id.""" |
| filters = {"user_id": "u1", "agent_id": "agent_x"} |
|
|
| self.mg.llm.generate_response.side_effect = [ |
| |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Python", "entity_type": "language"}, |
| {"entity": "Alice", "entity_type": "person"}, |
| ]}}]}, |
| |
| {"tool_calls": [{"name": "add_entities", "arguments": {"entities": [ |
| {"source": "Alice", "relationship": "uses", "destination": "Python"}, |
| ]}}]}, |
| |
| {"tool_calls": []}, |
| ] |
|
|
| self.mg.add("Alice uses Python", filters) |
|
|
| |
| nodes = self.mg._exec_cypher( |
| "MATCH (n) WHERE n.user_id = %s AND n.agent_id = %s RETURN n", |
| params=("u1", "agent_x"), |
| ) |
| assert len(nodes) == 2 |
| names = {n["name"] for n in nodes} |
| assert names == {"alice", "python"} |
|
|
| |
| all_rels = self.mg.get_all(filters) |
| assert len(all_rels) == 1 |
| assert all_rels[0]["relationship"] == "uses" |
|
|
| |
| self.mg.llm.generate_response.side_effect = [ |
| {"tool_calls": [{"name": "extract_entities", "arguments": {"entities": [ |
| {"entity": "Alice", "entity_type": "person"}, |
| ]}}]}, |
| ] |
| search_results = self.mg.search("What does Alice use?", filters) |
| assert len(search_results) >= 1 |
|
|
| |
| self.mg.delete_all(filters) |
| remaining = self.mg.get_all(filters) |
| assert remaining == [] |
|
|
|
|
| |
| |
| |
|
|
| @skip_no_age |
| class TestMergeNodeTimestamp: |
|
|
| def setup_method(self): |
| self.mg = _make_e2e_instance() |
|
|
| def teardown_method(self): |
| _cleanup(self.mg) |
|
|
| def test_created_preserved_across_merges(self): |
| """The created timestamp should be set on first merge and preserved on subsequent merges.""" |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| nodes1 = self.mg._exec_cypher( |
| "MATCH (n {name: %s}) RETURN n", params=("alice",) |
| ) |
| created1 = nodes1[0]["created"] |
| assert created1 is not None |
|
|
| |
| import time |
| time.sleep(0.05) |
| self.mg._merge_node("u1", "alice", [0.0]*16) |
| self.mg.ag.commit() |
|
|
| nodes2 = self.mg._exec_cypher( |
| "MATCH (n {name: %s}) RETURN n", params=("alice",) |
| ) |
| created2 = nodes2[0]["created"] |
| assert created2 == created1, f"created changed from {created1} to {created2}" |
| assert nodes2[0]["mentions"] == 2 |
|
|