refactor(test): unify vector_io tests and make them configurable (#1398)

## Test Plan


`LLAMA_STACK_CONFIG=inference=sentence-transformers,vector_io=sqlite-vec
pytest -s -v test_vector_io.py --embedding-model all-miniLM-L6-V2
--inference-model='' --vision-inference-model=''`

```
test_vector_io.py::test_vector_db_retrieve[txt=:vis=:emb=all-miniLM-L6-V2] PASSED
test_vector_io.py::test_vector_db_register[txt=:vis=:emb=all-miniLM-L6-V2] PASSED
test_vector_io.py::test_insert_chunks[txt=:vis=:emb=all-miniLM-L6-V2-test_case0] PASSED
test_vector_io.py::test_insert_chunks[txt=:vis=:emb=all-miniLM-L6-V2-test_case1] PASSED
test_vector_io.py::test_insert_chunks[txt=:vis=:emb=all-miniLM-L6-V2-test_case2] PASSED
test_vector_io.py::test_insert_chunks[txt=:vis=:emb=all-miniLM-L6-V2-test_case3] PASSED
test_vector_io.py::test_insert_chunks[txt=:vis=:emb=all-miniLM-L6-V2-test_case4] PASSED
```

Same thing with:
- LLAMA_STACK_CONFIG=inference=sentence-transformers,vector_io=faiss
- LLAMA_STACK_CONFIG=fireworks

(Note that ergonomics will soon be improved re: cmd-line options and env
variables)
This commit is contained in:
Ashwin Bharambe 2025-03-04 13:37:45 -08:00 committed by GitHub
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import pytest
from ..conftest import (
get_provider_fixture_overrides,
get_provider_fixture_overrides_from_test_config,
get_test_config_for_api,
)
from ..inference.fixtures import INFERENCE_FIXTURES
from .fixtures import VECTOR_IO_FIXTURES
DEFAULT_PROVIDER_COMBINATIONS = [
pytest.param(
{
"inference": "sentence_transformers",
"vector_io": "faiss",
},
id="sentence_transformers",
marks=pytest.mark.sentence_transformers,
),
pytest.param(
{
"inference": "ollama",
"vector_io": "pgvector",
},
id="pgvector",
marks=pytest.mark.pgvector,
),
pytest.param(
{
"inference": "ollama",
"vector_io": "faiss",
},
id="ollama",
marks=pytest.mark.ollama,
),
pytest.param(
{
"inference": "ollama",
"vector_io": "sqlite_vec",
},
id="sqlite_vec",
marks=pytest.mark.ollama,
),
pytest.param(
{
"inference": "sentence_transformers",
"vector_io": "chroma",
},
id="chroma",
marks=pytest.mark.chroma,
),
pytest.param(
{
"inference": "ollama",
"vector_io": "qdrant",
},
id="qdrant",
marks=pytest.mark.qdrant,
),
pytest.param(
{
"inference": "fireworks",
"vector_io": "weaviate",
},
id="weaviate",
marks=pytest.mark.weaviate,
),
]
def pytest_configure(config):
for fixture_name in VECTOR_IO_FIXTURES:
config.addinivalue_line(
"markers",
f"{fixture_name}: marks tests as {fixture_name} specific",
)
def pytest_generate_tests(metafunc):
test_config = get_test_config_for_api(metafunc.config, "vector_io")
if "embedding_model" in metafunc.fixturenames:
model = getattr(test_config, "embedding_model", None)
# Fall back to the default if not specified by the config file
model = model or metafunc.config.getoption("--embedding-model")
if model:
params = [pytest.param(model, id="")]
else:
params = [pytest.param("all-minilm:l6-v2", id="")]
metafunc.parametrize("embedding_model", params, indirect=True)
if "vector_io_stack" in metafunc.fixturenames:
available_fixtures = {
"inference": INFERENCE_FIXTURES,
"vector_io": VECTOR_IO_FIXTURES,
}
combinations = (
get_provider_fixture_overrides_from_test_config(metafunc.config, "vector_io", DEFAULT_PROVIDER_COMBINATIONS)
or get_provider_fixture_overrides(metafunc.config, available_fixtures)
or DEFAULT_PROVIDER_COMBINATIONS
)
metafunc.parametrize("vector_io_stack", combinations, indirect=True)