187 lines
6.6 KiB
Python
187 lines
6.6 KiB
Python
import pytest
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from unittest.mock import MagicMock, patch
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from mem0.vector_stores.mongodb import MongoDB
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@pytest.fixture
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@patch("mem0.vector_stores.mongodb.MongoClient")
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def mongo_vector_fixture(mock_mongo_client):
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mock_client = mock_mongo_client.return_value
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mock_db = mock_client["test_db"]
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mock_collection = mock_db["test_collection"]
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mock_collection.list_search_indexes.return_value = []
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mock_collection.aggregate.return_value = []
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mock_collection.find_one.return_value = None
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mock_collection.find.return_value = []
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mock_db.list_collection_names.return_value = []
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mongo_vector = MongoDB(
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db_name="test_db",
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collection_name="test_collection",
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embedding_model_dims=1536,
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mongo_uri="mongodb://username:password@localhost:27017",
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)
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return mongo_vector, mock_collection, mock_db
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def test_initalize_create_col(mongo_vector_fixture):
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mongo_vector, mock_collection, mock_db = mongo_vector_fixture
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assert mongo_vector.collection_name == "test_collection"
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assert mongo_vector.embedding_model_dims == 1536
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assert mongo_vector.db_name == "test_db"
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# Verify create_col being called
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mock_db.list_collection_names.assert_called_once()
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mock_collection.insert_one.assert_called_once_with({"_id": 0, "placeholder": True})
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mock_collection.delete_one.assert_called_once_with({"_id": 0})
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assert mongo_vector.index_name == "test_collection_vector_index"
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mock_collection.list_search_indexes.assert_called_once_with(name="test_collection_vector_index")
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mock_collection.create_search_index.assert_called_once()
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args, _ = mock_collection.create_search_index.call_args
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search_index_model = args[0].document
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assert search_index_model == {
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"name": "test_collection_vector_index",
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"definition": {
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"mappings": {
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"dynamic": False,
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"fields": {
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"embedding": {
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"type": "knnVector",
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"dimensions": 1536,
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"similarity": "cosine",
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}
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},
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}
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},
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}
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assert mongo_vector.collection == mock_collection
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def test_insert(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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vectors = [[0.1] * 1536, [0.2] * 1536]
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payloads = [{"name": "vector1"}, {"name": "vector2"}]
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ids = ["id1", "id2"]
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mongo_vector.insert(vectors, payloads, ids)
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expected_records = [
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({"_id": ids[0], "embedding": vectors[0], "payload": payloads[0]}),
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({"_id": ids[1], "embedding": vectors[1], "payload": payloads[1]}),
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]
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mock_collection.insert_many.assert_called_once_with(expected_records)
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def test_search(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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query_vector = [0.1] * 1536
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mock_collection.aggregate.return_value = [
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{"_id": "id1", "score": 0.9, "payload": {"key": "value1"}},
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{"_id": "id2", "score": 0.8, "payload": {"key": "value2"}},
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]
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mock_collection.list_search_indexes.return_value = ["test_collection_vector_index"]
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results = mongo_vector.search("query_str", query_vector, limit=2)
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mock_collection.list_search_indexes.assert_called_with(name="test_collection_vector_index")
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mock_collection.aggregate.assert_called_once_with(
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[
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{
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"$vectorSearch": {
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"index": "test_collection_vector_index",
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"limit": 2,
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"numCandidates": 2,
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"queryVector": query_vector,
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"path": "embedding",
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},
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},
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{"$set": {"score": {"$meta": "vectorSearchScore"}}},
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{"$project": {"embedding": 0}},
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]
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)
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assert len(results) == 2
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assert results[0].id == "id1"
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assert results[0].score == 0.9
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assert results[1].id == "id2"
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assert results[1].score == 0.8
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def test_delete(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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mock_delete_result = MagicMock()
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mock_delete_result.deleted_count = 1
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mock_collection.delete_one.return_value = mock_delete_result
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mongo_vector.delete("id1")
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mock_collection.delete_one.assert_called_with({"_id": "id1"})
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def test_update(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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mock_update_result = MagicMock()
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mock_update_result.matched_count = 1
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mock_collection.update_one.return_value = mock_update_result
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idValue = "id1"
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vectorValue = [0.2] * 1536
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payloadValue = {"key": "updated"}
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mongo_vector.update(idValue, vector=vectorValue, payload=payloadValue)
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mock_collection.update_one.assert_called_once_with(
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{"_id": idValue},
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{"$set": {"embedding": vectorValue, "payload": payloadValue}},
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)
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def test_get(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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mock_collection.find_one.return_value = {"_id": "id1", "payload": {"key": "value1"}}
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result = mongo_vector.get("id1")
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assert result is not None
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assert result.id == "id1"
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assert result.payload == {"key": "value1"}
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def test_list_cols(mongo_vector_fixture):
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mongo_vector, _, mock_db = mongo_vector_fixture
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mock_db.list_collection_names.return_value = ["col1", "col2"]
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collections = mongo_vector.list_cols()
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assert collections == ["col1", "col2"]
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def test_delete_col(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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mongo_vector.delete_col()
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mock_collection.drop.assert_called_once()
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def test_col_info(mongo_vector_fixture):
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mongo_vector, _, mock_db = mongo_vector_fixture
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mock_db.command.return_value = {"count": 10, "size": 1024}
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info = mongo_vector.col_info()
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mock_db.command.assert_called_once_with("collstats", "test_collection")
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assert info["name"] == "test_collection"
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assert info["count"] == 10
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assert info["size"] == 1024
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def test_list(mongo_vector_fixture):
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mongo_vector, mock_collection, _ = mongo_vector_fixture
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mock_cursor = MagicMock()
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mock_cursor.limit.return_value = [
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{"_id": "id1", "payload": {"key": "value1"}},
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{"_id": "id2", "payload": {"key": "value2"}},
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]
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mock_collection.find.return_value = mock_cursor
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query_filters = {"_id": {"$in": ["id1", "id2"]}}
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results = mongo_vector.list(filters=query_filters, limit=2)
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mock_collection.find.assert_called_once_with(query_filters)
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mock_cursor.limit.assert_called_once_with(2)
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assert len(results) == 2
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assert results[0].id == "id1"
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assert results[0].payload == {"key": "value1"}
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assert results[1].id == "id2"
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assert results[1].payload == {"key": "value2"}
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