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Fix precommit check after moving to ruff (#927)

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Lint check in main branch is failing. This fixes the lint check after we
moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We
need to move to a `ruff.toml` file as well as fixing and ignoring some
additional checks.

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-02-02 09:46:45 -05:00 • committed by GitHub
parent 4773092dd1
commit 34ab7a3b6c
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GPG key ID: B5690EEEBB952194
217 changed files with 981 additions and 2681 deletions
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32
tests/client-sdk/vector_io/test_vector_io.py
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@ -11,9 +11,7 @@ import pytest
@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()
]
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)
@ -27,15 +25,11 @@ def single_entry_vector_db_registry(llama_stack_client, empty_vector_db_registry
embedding_dimension=384,
provider_id="faiss",
)
vector_dbs = [
vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
]
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
return vector_dbs
def test_vector_db_retrieve(
llama_stack_client, embedding_model, empty_vector_db_registry
):
def test_vector_db_retrieve(llama_stack_client, embedding_model, empty_vector_db_registry):
# Register a memory bank first
vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
llama_stack_client.vector_dbs.register(
@ -55,15 +49,11 @@ def test_vector_db_retrieve(
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()
]
vector_dbs_after_register = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert len(vector_dbs_after_register) == 0
def test_vector_db_register(
llama_stack_client, embedding_model, empty_vector_db_registry
):
def test_vector_db_register(llama_stack_client, embedding_model, empty_vector_db_registry):
vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
llama_stack_client.vector_dbs.register(
vector_db_id=vector_db_id,
@ -72,22 +62,16 @@ def test_vector_db_register(
provider_id="faiss",
)
vector_dbs_after_register = [
vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
]
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]
def test_vector_db_unregister(llama_stack_client, single_entry_vector_db_registry):
vector_dbs = [
vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
]
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()
]
vector_dbs = [vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()]
assert len(vector_dbs) == 0