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arc53--docsgpt/tests/vectorstore/test_vector_creator.py
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chore: import upstream snapshot with attribution
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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"
)