mirror of
https://github.com/arc53/DocsGPT.git
synced 2026-05-10 12:31:21 +00:00
40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
from unittest.mock import patch
|
|
|
|
import pytest
|
|
|
|
from application.vectorstore.vector_creator import VectorCreator
|
|
|
|
|
|
@pytest.mark.unit
|
|
class TestVectorCreator:
|
|
def test_registered_vectorstores(self):
|
|
assert "faiss" in VectorCreator.vectorstores
|
|
assert "elasticsearch" in VectorCreator.vectorstores
|
|
assert "mongodb" in VectorCreator.vectorstores
|
|
assert "qdrant" in VectorCreator.vectorstores
|
|
assert "milvus" in VectorCreator.vectorstores
|
|
assert "pgvector" in VectorCreator.vectorstores
|
|
|
|
def test_create_vectorstore_invalid_type(self):
|
|
with pytest.raises(ValueError, match="No vectorstore class found for type"):
|
|
VectorCreator.create_vectorstore("nonexistent")
|
|
|
|
def test_create_vectorstore_case_insensitive(self):
|
|
with patch.object(
|
|
VectorCreator.vectorstores["faiss"], "__init__", return_value=None
|
|
) as mock_init:
|
|
mock_init.return_value = None
|
|
VectorCreator.create_vectorstore("FAISS", source_id="test", embeddings_key="key")
|
|
mock_init.assert_called_once_with(source_id="test", embeddings_key="key")
|
|
|
|
def test_create_vectorstore_passes_args(self):
|
|
with patch.object(
|
|
VectorCreator.vectorstores["mongodb"], "__init__", return_value=None
|
|
) as mock_init:
|
|
VectorCreator.create_vectorstore(
|
|
"mongodb", source_id="src1", embeddings_key="ek", database="mydb"
|
|
)
|
|
mock_init.assert_called_once_with(
|
|
source_id="src1", embeddings_key="ek", database="mydb"
|
|
)
|