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chore: fix flaky unit test and add proper shutdown for file batches

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This commit is contained in:
Swapna Lekkala 2025-10-07 14:09:28 -07:00
parent 1970b4aa4b
commit cf418f3394
9 changed files with 39 additions and 17 deletions
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24
tests/unit/providers/vector_io/conftest.py
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@ -145,10 +145,10 @@ async def sqlite_vec_vec_index(embedding_dimension, tmp_path_factory):
@pytest.fixture
async def sqlite_vec_adapter(sqlite_vec_db_path, mock_inference_api, embedding_dimension):
async def sqlite_vec_adapter(sqlite_vec_db_path, unique_kvstore_config, mock_inference_api, embedding_dimension):
config = SQLiteVectorIOConfig(
db_path=sqlite_vec_db_path,
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = SQLiteVecVectorIOAdapter(
config=config,
@ -187,10 +187,10 @@ async def milvus_vec_index(milvus_vec_db_path, embedding_dimension):
@pytest.fixture
async def milvus_vec_adapter(milvus_vec_db_path, mock_inference_api):
async def milvus_vec_adapter(milvus_vec_db_path, unique_kvstore_config, mock_inference_api):
config = MilvusVectorIOConfig(
db_path=milvus_vec_db_path,
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = MilvusVectorIOAdapter(
config=config,
@ -264,10 +264,10 @@ async def chroma_vec_index(chroma_vec_db_path, embedding_dimension):
@pytest.fixture
async def chroma_vec_adapter(chroma_vec_db_path, mock_inference_api, embedding_dimension):
async def chroma_vec_adapter(chroma_vec_db_path, unique_kvstore_config, mock_inference_api, embedding_dimension):
config = ChromaVectorIOConfig(
db_path=chroma_vec_db_path,
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = ChromaVectorIOAdapter(
config=config,
@ -296,12 +296,12 @@ def qdrant_vec_db_path(tmp_path_factory):
@pytest.fixture
async def qdrant_vec_adapter(qdrant_vec_db_path, mock_inference_api, embedding_dimension):
async def qdrant_vec_adapter(qdrant_vec_db_path, unique_kvstore_config, mock_inference_api, embedding_dimension):
import uuid
config = QdrantVectorIOConfig(
db_path=qdrant_vec_db_path,
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = QdrantVectorIOAdapter(
config=config,
@ -386,14 +386,14 @@ async def pgvector_vec_index(embedding_dimension, mock_psycopg2_connection):
@pytest.fixture
async def pgvector_vec_adapter(mock_inference_api, embedding_dimension):
async def pgvector_vec_adapter(unique_kvstore_config, mock_inference_api, embedding_dimension):
config = PGVectorVectorIOConfig(
host="localhost",
port=5432,
db="test_db",
user="test_user",
password="test_password",
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = PGVectorVectorIOAdapter(config, mock_inference_api, None)
@ -476,7 +476,7 @@ async def weaviate_vec_index(weaviate_vec_db_path):
@pytest.fixture
async def weaviate_vec_adapter(weaviate_vec_db_path, mock_inference_api, embedding_dimension):
async def weaviate_vec_adapter(weaviate_vec_db_path, unique_kvstore_config, mock_inference_api, embedding_dimension):
import pytest_socket
import weaviate
@ -492,7 +492,7 @@ async def weaviate_vec_adapter(weaviate_vec_db_path, mock_inference_api, embeddi
config = WeaviateVectorIOConfig(
weaviate_cluster_url="localhost:8080",
weaviate_api_key=None,
kvstore=SqliteKVStoreConfig(),
kvstore=unique_kvstore_config,
)
adapter = WeaviateVectorIOAdapter(
config=config,