Files
t6_mem0/tests/vector_stores/test_opensearch.py
2025-03-20 22:57:00 +05:30

176 lines
7.2 KiB
Python

import os
import unittest
from unittest.mock import MagicMock, patch
import dotenv
try:
from opensearchpy import OpenSearch, AWSV4SignerAuth
except ImportError:
raise ImportError(
"OpenSearch requires extra dependencies. Install with `pip install opensearch-py`"
) from None
from mem0.vector_stores.opensearch import OpenSearchDB
class TestOpenSearchDB(unittest.TestCase):
@classmethod
def setUpClass(cls):
dotenv.load_dotenv()
cls.original_env = {
'OS_URL': os.getenv('OS_URL', 'http://localhost:9200'),
'OS_USERNAME': os.getenv('OS_USERNAME', 'test_user'),
'OS_PASSWORD': os.getenv('OS_PASSWORD', 'test_password')
}
os.environ['OS_URL'] = 'http://localhost'
os.environ['OS_USERNAME'] = 'test_user'
os.environ['OS_PASSWORD'] = 'test_password'
def setUp(self):
self.client_mock = MagicMock(spec=OpenSearch)
self.client_mock.indices = MagicMock()
self.client_mock.indices.exists = MagicMock(return_value=False)
self.client_mock.indices.create = MagicMock()
self.client_mock.indices.delete = MagicMock()
self.client_mock.indices.get_alias = MagicMock()
self.client_mock.get = MagicMock()
self.client_mock.update = MagicMock()
self.client_mock.delete = MagicMock()
self.client_mock.search = MagicMock()
patcher = patch('mem0.vector_stores.opensearch.OpenSearch', return_value=self.client_mock)
self.mock_os = patcher.start()
self.addCleanup(patcher.stop)
self.os_db = OpenSearchDB(
host=os.getenv('OS_URL'),
port=9200,
collection_name="test_collection",
embedding_model_dims=1536,
user=os.getenv('OS_USERNAME'),
password=os.getenv('OS_PASSWORD'),
verify_certs=False,
use_ssl=False,
auto_create_index=False
)
self.client_mock.reset_mock()
@classmethod
def tearDownClass(cls):
for key, value in cls.original_env.items():
if value is not None:
os.environ[key] = value
else:
os.environ.pop(key, None)
def tearDown(self):
self.client_mock.reset_mock()
def test_create_index(self):
self.client_mock.indices.exists.return_value = False
self.os_db.create_index()
self.client_mock.indices.create.assert_called_once()
create_args = self.client_mock.indices.create.call_args[1]
self.assertEqual(create_args["index"], "test_collection")
mappings = create_args["body"]["mappings"]["properties"]
self.assertEqual(mappings["vector"]["type"], "knn_vector")
self.assertEqual(mappings["vector"]["dimension"], 1536)
self.client_mock.reset_mock()
self.client_mock.indices.exists.return_value = True
self.os_db.create_index()
self.client_mock.indices.create.assert_not_called()
def test_insert(self):
vectors = [[0.1] * 1536, [0.2] * 1536]
payloads = [{"key1": "value1"}, {"key2": "value2"}]
ids = ["id1", "id2"]
with patch('mem0.vector_stores.opensearch.bulk') as mock_bulk:
mock_bulk.return_value = (2, [])
results = self.os_db.insert(vectors=vectors, payloads=payloads, ids=ids)
mock_bulk.assert_called_once()
actions = mock_bulk.call_args[0][1]
self.assertEqual(actions[0]["_index"], "test_collection")
self.assertEqual(actions[0]["_id"], "id1")
self.assertEqual(actions[0]["_source"]["vector"], vectors[0])
self.assertEqual(actions[0]["_source"]["metadata"], payloads[0])
self.assertEqual(len(results), 2)
self.assertEqual(results[0].id, "id1")
self.assertEqual(results[0].payload, payloads[0])
def test_get(self):
mock_response = {"_id": "id1", "_source": {"metadata": {"key1": "value1"}}}
self.client_mock.get.return_value = mock_response
result = self.os_db.get("id1")
self.client_mock.get.assert_called_once_with(index="test_collection", id="id1")
self.assertIsNotNone(result)
self.assertEqual(result.id, "id1")
self.assertEqual(result.payload, {"key1": "value1"})
def test_update(self):
vector = [0.3] * 1536
payload = {"key3": "value3"}
self.os_db.update("id1", vector=vector, payload=payload)
self.client_mock.update.assert_called_once()
update_args = self.client_mock.update.call_args[1]
self.assertEqual(update_args["index"], "test_collection")
self.assertEqual(update_args["id"], "id1")
self.assertEqual(update_args["body"], {"doc": {"vector": vector, "metadata": payload}})
def test_list_cols(self):
self.client_mock.indices.get_alias.return_value = {"test_collection": {}}
result = self.os_db.list_cols()
self.client_mock.indices.get_alias.assert_called_once()
self.assertEqual(result, ["test_collection"])
def test_search(self):
mock_response = {"hits": {"hits": [{"_id": "id1", "_score": 0.8, "_source": {"vector": [0.1] * 1536, "metadata": {"key1": "value1"}}}]}}
self.client_mock.search.return_value = mock_response
vectors = [[0.1] * 1536]
results = self.os_db.search(query="", vectors=vectors, limit=5)
self.client_mock.search.assert_called_once()
search_args = self.client_mock.search.call_args[1]
self.assertEqual(search_args["index"], "test_collection")
body = search_args["body"]
self.assertIn("knn", body["query"])
self.assertIn("vector", body["query"]["knn"])
self.assertEqual(body["query"]["knn"]["vector"]["vector"], vectors)
self.assertEqual(body["query"]["knn"]["vector"]["k"], 5)
self.assertEqual(len(results), 1)
self.assertEqual(results[0].id, "id1")
self.assertEqual(results[0].score, 0.8)
self.assertEqual(results[0].payload, {"key1": "value1"})
def test_delete(self):
self.os_db.delete(vector_id="id1")
self.client_mock.delete.assert_called_once_with(index="test_collection", id="id1")
def test_delete_col(self):
self.os_db.delete_col()
self.client_mock.indices.delete.assert_called_once_with(index="test_collection")
def test_init_with_http_auth(self):
mock_credentials = MagicMock()
mock_signer = AWSV4SignerAuth(mock_credentials, "us-east-1", "es")
with patch('mem0.vector_stores.opensearch.OpenSearch') as mock_opensearch:
test_db = OpenSearchDB(
host="localhost",
port=9200,
collection_name="test_collection",
embedding_model_dims=1536,
http_auth=mock_signer,
verify_certs=True,
use_ssl=True,
auto_create_index=False
)
# Verify OpenSearch was initialized with correct params
mock_opensearch.assert_called_once_with(
hosts=[{"host": "localhost", "port": 9200}],
http_auth=mock_signer,
use_ssl=True,
verify_certs=True,
connection_class=unittest.mock.ANY
)