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refactor: tests/unittests -> tests/unit; tests/api -> tests/integration

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Ashwin Bharambe 2025-03-04 09:55:05 -08:00
parent c6b13b6a24
commit 4ca58eb987
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86
tests/api/vector_io/test_vector_io.py
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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 random
import pytest
INLINE_VECTOR_DB_PROVIDERS = [
"faiss",
# TODO: add sqlite_vec to templates
# "sqlite_vec",
]
@pytest.fixture(scope="function")
def empty_vector_db_registry(llama_stack_client):
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
for vector_db_id in vector_dbs:
llama_stack_client.vector_dbs.unregister(vector_db_id=vector_db_id)
@pytest.fixture(scope="function")
def single_entry_vector_db_registry(llama_stack_client, empty_vector_db_registry, provider_id):
vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
llama_stack_client.vector_dbs.register(
vector_db_id=vector_db_id,
embedding_model="all-MiniLM-L6-v2",
embedding_dimension=384,
provider_id=provider_id,
)
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
return vector_dbs
@pytest.mark.parametrize("provider_id", INLINE_VECTOR_DB_PROVIDERS)
def test_vector_db_retrieve(llama_stack_client, embedding_model_id, empty_vector_db_registry, provider_id):
# Register a memory bank first
vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
llama_stack_client.vector_dbs.register(
vector_db_id=vector_db_id,
embedding_model=embedding_model_id,
embedding_dimension=384,
provider_id=provider_id,
)
# Retrieve the memory bank and validate its properties
response = llama_stack_client.vector_dbs.retrieve(vector_db_id=vector_db_id)
assert response is not None
assert response.identifier == vector_db_id
assert response.embedding_model == embedding_model_id
assert response.provider_id == provider_id
assert response.provider_resource_id == vector_db_id
def test_vector_db_list(llama_stack_client, empty_vector_db_registry):
vector_dbs_after_register = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert len(vector_dbs_after_register) == 0
@pytest.mark.parametrize("provider_id", INLINE_VECTOR_DB_PROVIDERS)
def test_vector_db_register(llama_stack_client, embedding_model_id, empty_vector_db_registry, provider_id):
vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
llama_stack_client.vector_dbs.register(
vector_db_id=vector_db_id,
embedding_model=embedding_model_id,
embedding_dimension=384,
provider_id=provider_id,
)
vector_dbs_after_register = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert vector_dbs_after_register == [vector_db_id]
@pytest.mark.parametrize("provider_id", INLINE_VECTOR_DB_PROVIDERS)
def test_vector_db_unregister(llama_stack_client, single_entry_vector_db_registry, provider_id):
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert len(vector_dbs) == 1
vector_db_id = vector_dbs[0]
llama_stack_client.vector_dbs.unregister(vector_db_id=vector_db_id)
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert len(vector_dbs) == 0