mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-07-23 12:57:11 +00:00
chore: default to pytest asyncio-mode=auto (#2730)
# What does this PR do? previously, developers who ran `./scripts/unit-tests.sh` would get `asyncio-mode=auto`, which meant `@pytest.mark.asyncio` and `@pytest_asyncio.fixture` were redundent. developers who ran `pytest` directly would get pytest's default (strict mode), would run into errors leading them to add `@pytest.mark.asyncio` / `@pytest_asyncio.fixture` to their code. with this change - - `asyncio_mode=auto` is included in `pyproject.toml` making behavior consistent for all invocations of pytest - removes all redundant `@pytest_asyncio.fixture` and `@pytest.mark.asyncio` - for good measure, requires `pytest>=8.4` and `pytest-asyncio>=1.0` ## Test Plan - `./scripts/unit-tests.sh` - `uv run pytest tests/unit`
This commit is contained in:
Matthew Farrellee
GitHub
parent
2ebc172f33
commit
30b2e6a495
35 changed files with 29 additions and 239 deletions
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@ -8,7 +8,6 @@ from datetime import datetime
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from unittest.mock import AsyncMock
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import pytest
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import pytest_asyncio
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from llama_stack.apis.agents import (
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Agent,
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@ -50,7 +49,7 @@ def config(tmp_path):
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)
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@pytest_asyncio.fixture
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@pytest.fixture
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async def agents_impl(config, mock_apis):
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impl = MetaReferenceAgentsImpl(
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config,
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@ -117,7 +116,6 @@ def sample_agent_config():
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)
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@pytest.mark.asyncio
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async def test_create_agent(agents_impl, sample_agent_config):
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response = await agents_impl.create_agent(sample_agent_config)
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@ -132,7 +130,6 @@ async def test_create_agent(agents_impl, sample_agent_config):
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assert isinstance(agent_info.created_at, datetime)
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@pytest.mark.asyncio
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async def test_get_agent(agents_impl, sample_agent_config):
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create_response = await agents_impl.create_agent(sample_agent_config)
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agent_id = create_response.agent_id
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@ -146,7 +143,6 @@ async def test_get_agent(agents_impl, sample_agent_config):
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assert isinstance(agent.created_at, datetime)
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@pytest.mark.asyncio
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async def test_list_agents(agents_impl, sample_agent_config):
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agent1_response = await agents_impl.create_agent(sample_agent_config)
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agent2_response = await agents_impl.create_agent(sample_agent_config)
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@ -160,7 +156,6 @@ async def test_list_agents(agents_impl, sample_agent_config):
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assert agent2_response.agent_id in agent_ids
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@pytest.mark.asyncio
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@pytest.mark.parametrize("enable_session_persistence", [True, False])
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async def test_create_agent_session_persistence(agents_impl, sample_agent_config, enable_session_persistence):
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# Create an agent with specified persistence setting
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@ -188,7 +183,6 @@ async def test_create_agent_session_persistence(agents_impl, sample_agent_config
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await agents_impl.get_agents_session(agent_id, session_response.session_id)
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@pytest.mark.asyncio
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@pytest.mark.parametrize("enable_session_persistence", [True, False])
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async def test_list_agent_sessions_persistence(agents_impl, sample_agent_config, enable_session_persistence):
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# Create an agent with specified persistence setting
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@ -221,7 +215,6 @@ async def test_list_agent_sessions_persistence(agents_impl, sample_agent_config,
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assert session2.session_id in {s["session_id"] for s in sessions.data}
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@pytest.mark.asyncio
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async def test_delete_agent(agents_impl, sample_agent_config):
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# Create an agent
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response = await agents_impl.create_agent(sample_agent_config)
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@ -122,7 +122,6 @@ async def fake_stream(fixture: str = "simple_chat_completion.yaml"):
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)
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@pytest.mark.asyncio
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async def test_create_openai_response_with_string_input(openai_responses_impl, mock_inference_api):
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"""Test creating an OpenAI response with a simple string input."""
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# Setup
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@ -155,7 +154,6 @@ async def test_create_openai_response_with_string_input(openai_responses_impl, m
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assert result.output[0].content[0].text == "Dublin"
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@pytest.mark.asyncio
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async def test_create_openai_response_with_string_input_with_tools(openai_responses_impl, mock_inference_api):
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"""Test creating an OpenAI response with a simple string input and tools."""
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# Setup
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@ -224,7 +222,6 @@ async def test_create_openai_response_with_string_input_with_tools(openai_respon
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assert result.output[1].content[0].annotations == []
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@pytest.mark.asyncio
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async def test_create_openai_response_with_tool_call_type_none(openai_responses_impl, mock_inference_api):
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"""Test creating an OpenAI response with a tool call response that has a type of None."""
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# Setup
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@ -294,7 +291,6 @@ async def test_create_openai_response_with_tool_call_type_none(openai_responses_
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assert chunks[1].response.output[0].name == "get_weather"
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@pytest.mark.asyncio
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async def test_create_openai_response_with_multiple_messages(openai_responses_impl, mock_inference_api):
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"""Test creating an OpenAI response with multiple messages."""
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# Setup
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@ -340,7 +336,6 @@ async def test_create_openai_response_with_multiple_messages(openai_responses_im
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assert isinstance(inference_messages[i], OpenAIDeveloperMessageParam)
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@pytest.mark.asyncio
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async def test_prepend_previous_response_none(openai_responses_impl):
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"""Test prepending no previous response to a new response."""
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@ -348,7 +343,6 @@ async def test_prepend_previous_response_none(openai_responses_impl):
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assert input == "fake_input"
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@pytest.mark.asyncio
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async def test_prepend_previous_response_basic(openai_responses_impl, mock_responses_store):
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"""Test prepending a basic previous response to a new response."""
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@ -388,7 +382,6 @@ async def test_prepend_previous_response_basic(openai_responses_impl, mock_respo
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assert input[2].content == "fake_input"
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@pytest.mark.asyncio
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async def test_prepend_previous_response_web_search(openai_responses_impl, mock_responses_store):
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"""Test prepending a web search previous response to a new response."""
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input_item_message = OpenAIResponseMessage(
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@ -434,7 +427,6 @@ async def test_prepend_previous_response_web_search(openai_responses_impl, mock_
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assert input[3].content == "fake_input"
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@pytest.mark.asyncio
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async def test_create_openai_response_with_instructions(openai_responses_impl, mock_inference_api):
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# Setup
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input_text = "What is the capital of Ireland?"
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@ -463,7 +455,6 @@ async def test_create_openai_response_with_instructions(openai_responses_impl, m
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assert sent_messages[1].content == input_text
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@pytest.mark.asyncio
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async def test_create_openai_response_with_instructions_and_multiple_messages(
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openai_responses_impl, mock_inference_api
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):
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@ -508,7 +499,6 @@ async def test_create_openai_response_with_instructions_and_multiple_messages(
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assert sent_messages[3].content == "Which is the largest?"
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@pytest.mark.asyncio
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async def test_create_openai_response_with_instructions_and_previous_response(
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openai_responses_impl, mock_responses_store, mock_inference_api
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):
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@ -565,7 +555,6 @@ async def test_create_openai_response_with_instructions_and_previous_response(
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assert sent_messages[3].content == "Which is the largest?"
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@pytest.mark.asyncio
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async def test_list_openai_response_input_items_delegation(openai_responses_impl, mock_responses_store):
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"""Test that list_openai_response_input_items properly delegates to responses_store with correct parameters."""
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# Setup
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@ -601,7 +590,6 @@ async def test_list_openai_response_input_items_delegation(openai_responses_impl
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assert result.data[0].id == "msg_123"
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@pytest.mark.asyncio
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async def test_responses_store_list_input_items_logic():
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"""Test ResponsesStore list_response_input_items logic - mocks get_response_object to test actual ordering/limiting."""
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@ -680,7 +668,6 @@ async def test_responses_store_list_input_items_logic():
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assert len(result.data) == 0 # Should return no items
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@pytest.mark.asyncio
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async def test_store_response_uses_rehydrated_input_with_previous_response(
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openai_responses_impl, mock_responses_store, mock_inference_api
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):
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@ -747,7 +734,6 @@ async def test_store_response_uses_rehydrated_input_with_previous_response(
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assert result.status == "completed"
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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"text_format, response_format",
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[
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@ -787,7 +773,6 @@ async def test_create_openai_response_with_text_format(
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assert first_call.kwargs["response_format"] == response_format
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@pytest.mark.asyncio
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async def test_create_openai_response_with_invalid_text_format(openai_responses_impl, mock_inference_api):
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"""Test creating an OpenAI response with an invalid text format."""
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# Setup
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@ -9,7 +9,6 @@ from datetime import datetime
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from unittest.mock import patch
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import pytest
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import pytest_asyncio
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from llama_stack.apis.agents import Turn
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from llama_stack.apis.inference import CompletionMessage, StopReason
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@ -17,13 +16,12 @@ from llama_stack.distribution.datatypes import User
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from llama_stack.providers.inline.agents.meta_reference.persistence import AgentPersistence, AgentSessionInfo
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@pytest_asyncio.fixture
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@pytest.fixture
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async def test_setup(sqlite_kvstore):
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agent_persistence = AgentPersistence(agent_id="test_agent", kvstore=sqlite_kvstore, policy={})
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yield agent_persistence
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@pytest.mark.asyncio
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@patch("llama_stack.providers.inline.agents.meta_reference.persistence.get_authenticated_user")
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async def test_session_creation_with_access_attributes(mock_get_authenticated_user, test_setup):
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agent_persistence = test_setup
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@ -44,7 +42,6 @@ async def test_session_creation_with_access_attributes(mock_get_authenticated_us
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assert session_info.owner.attributes["teams"] == ["ai-team"]
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@pytest.mark.asyncio
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@patch("llama_stack.providers.inline.agents.meta_reference.persistence.get_authenticated_user")
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async def test_session_access_control(mock_get_authenticated_user, test_setup):
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agent_persistence = test_setup
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@ -79,7 +76,6 @@ async def test_session_access_control(mock_get_authenticated_user, test_setup):
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assert retrieved_session is None
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@pytest.mark.asyncio
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@patch("llama_stack.providers.inline.agents.meta_reference.persistence.get_authenticated_user")
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async def test_turn_access_control(mock_get_authenticated_user, test_setup):
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agent_persistence = test_setup
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@ -133,7 +129,6 @@ async def test_turn_access_control(mock_get_authenticated_user, test_setup):
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await agent_persistence.get_session_turns(session_id)
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@pytest.mark.asyncio
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@patch("llama_stack.providers.inline.agents.meta_reference.persistence.get_authenticated_user")
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async def test_tool_call_and_infer_iters_access_control(mock_get_authenticated_user, test_setup):
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agent_persistence = test_setup
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@ -14,7 +14,6 @@ from typing import Any
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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import pytest_asyncio
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from openai.types.chat.chat_completion_chunk import (
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ChatCompletionChunk as OpenAIChatCompletionChunk,
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)
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@ -103,7 +102,7 @@ def mock_openai_models_list():
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yield mock_list
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@pytest_asyncio.fixture(scope="module")
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@pytest.fixture(scope="module")
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async def vllm_inference_adapter():
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config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345")
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inference_adapter = VLLMInferenceAdapter(config)
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@ -112,7 +111,6 @@ async def vllm_inference_adapter():
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return inference_adapter
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@pytest.mark.asyncio
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async def test_register_model_checks_vllm(mock_openai_models_list, vllm_inference_adapter):
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async def mock_openai_models():
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yield OpenAIModel(id="foo", created=1, object="model", owned_by="test")
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@ -125,7 +123,6 @@ async def test_register_model_checks_vllm(mock_openai_models_list, vllm_inferenc
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mock_openai_models_list.assert_called()
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@pytest.mark.asyncio
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async def test_old_vllm_tool_choice(vllm_inference_adapter):
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"""
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Test that we set tool_choice to none when no tools are in use
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@ -149,7 +146,6 @@ async def test_old_vllm_tool_choice(vllm_inference_adapter):
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assert request.tool_config.tool_choice == ToolChoice.none
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@pytest.mark.asyncio
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async def test_tool_call_response(vllm_inference_adapter):
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"""Verify that tool call arguments from a CompletionMessage are correctly converted
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into the expected JSON format."""
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@ -192,7 +188,6 @@ async def test_tool_call_response(vllm_inference_adapter):
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]
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@pytest.mark.asyncio
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async def test_tool_call_delta_empty_tool_call_buf():
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"""
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Test that we don't generate extra chunks when processing a
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@ -222,7 +217,6 @@ async def test_tool_call_delta_empty_tool_call_buf():
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assert chunks[1].event.stop_reason == StopReason.end_of_turn
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@pytest.mark.asyncio
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async def test_tool_call_delta_streaming_arguments_dict():
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async def mock_stream():
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mock_chunk_1 = OpenAIChatCompletionChunk(
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@ -297,7 +291,6 @@ async def test_tool_call_delta_streaming_arguments_dict():
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assert chunks[2].event.event_type.value == "complete"
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@pytest.mark.asyncio
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async def test_multiple_tool_calls():
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async def mock_stream():
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mock_chunk_1 = OpenAIChatCompletionChunk(
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@ -376,7 +369,6 @@ async def test_multiple_tool_calls():
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assert chunks[3].event.event_type.value == "complete"
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@pytest.mark.asyncio
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async def test_process_vllm_chat_completion_stream_response_no_choices():
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"""
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Test that we don't error out when vLLM returns no choices for a
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@ -453,7 +445,6 @@ def test_chat_completion_doesnt_block_event_loop(caplog):
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assert not asyncio_warnings
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@pytest.mark.asyncio
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async def test_get_params_empty_tools(vllm_inference_adapter):
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request = ChatCompletionRequest(
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tools=[],
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@ -464,7 +455,6 @@ async def test_get_params_empty_tools(vllm_inference_adapter):
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assert "tools" not in params
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@pytest.mark.asyncio
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async def test_process_vllm_chat_completion_stream_response_tool_call_args_last_chunk():
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"""
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Tests the edge case where the model returns the arguments for the tool call in the same chunk that
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@ -543,7 +533,6 @@ async def test_process_vllm_chat_completion_stream_response_tool_call_args_last_
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assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments
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@pytest.mark.asyncio
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async def test_process_vllm_chat_completion_stream_response_no_finish_reason():
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"""
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Tests the edge case where the model requests a tool call and stays idle without explicitly providing the
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@ -596,7 +585,6 @@ async def test_process_vllm_chat_completion_stream_response_no_finish_reason():
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assert chunks[-2].event.delta.tool_call.arguments == mock_tool_arguments
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@pytest.mark.asyncio
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async def test_process_vllm_chat_completion_stream_response_tool_without_args():
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"""
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Tests the edge case where no arguments are provided for the tool call.
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@ -645,7 +633,6 @@ async def test_process_vllm_chat_completion_stream_response_tool_without_args():
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assert chunks[-2].event.delta.tool_call.arguments == {}
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@pytest.mark.asyncio
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async def test_health_status_success(vllm_inference_adapter):
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"""
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Test the health method of VLLM InferenceAdapter when the connection is successful.
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@ -679,7 +666,6 @@ async def test_health_status_success(vllm_inference_adapter):
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mock_models.list.assert_called_once()
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@pytest.mark.asyncio
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async def test_health_status_failure(vllm_inference_adapter):
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"""
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Test the health method of VLLM InferenceAdapter when the connection fails.
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@ -4,7 +4,6 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import pytest
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from llama_stack.apis.common.content_types import TextContentItem
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from llama_stack.apis.inference import (
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@ -23,7 +22,6 @@ from llama_stack.providers.utils.inference.openai_compat import (
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)
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@pytest.mark.asyncio
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async def test_convert_message_to_openai_dict():
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message = UserMessage(content=[TextContentItem(text="Hello, world!")], role="user")
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assert await convert_message_to_openai_dict(message) == {
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@ -33,7 +31,6 @@ async def test_convert_message_to_openai_dict():
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|
||||
# Test convert_message_to_openai_dict with a tool call
|
||||
@pytest.mark.asyncio
|
||||
async def test_convert_message_to_openai_dict_with_tool_call():
|
||||
message = CompletionMessage(
|
||||
content="",
|
||||
|
|
@ -54,7 +51,6 @@ async def test_convert_message_to_openai_dict_with_tool_call():
|
|||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_convert_message_to_openai_dict_with_builtin_tool_call():
|
||||
message = CompletionMessage(
|
||||
content="",
|
||||
|
|
@ -80,7 +76,6 @@ async def test_convert_message_to_openai_dict_with_builtin_tool_call():
|
|||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_openai_messages_to_messages_with_content_str():
|
||||
openai_messages = [
|
||||
OpenAISystemMessageParam(content="system message"),
|
||||
|
|
@ -98,7 +93,6 @@ async def test_openai_messages_to_messages_with_content_str():
|
|||
assert llama_messages[2].content == "assistant message"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_openai_messages_to_messages_with_content_list():
|
||||
openai_messages = [
|
||||
OpenAISystemMessageParam(content=[OpenAIChatCompletionContentPartTextParam(text="system message")]),
|
||||
|
|
|
|||
|
|
@ -13,7 +13,6 @@ from llama_stack.apis.tools import RAGDocument
|
|||
from llama_stack.providers.utils.memory.vector_store import content_from_data_and_mime_type, content_from_doc
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_url():
|
||||
"""Test extracting content from RAGDocument with URL content."""
|
||||
mock_url = URL(uri="https://example.com")
|
||||
|
|
@ -33,7 +32,6 @@ async def test_content_from_doc_with_url():
|
|||
mock_instance.get.assert_called_once_with(mock_url.uri)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_pdf_url():
|
||||
"""Test extracting content from RAGDocument with URL pointing to a PDF."""
|
||||
mock_url = URL(uri="https://example.com/document.pdf")
|
||||
|
|
@ -58,7 +56,6 @@ async def test_content_from_doc_with_pdf_url():
|
|||
mock_parse_pdf.assert_called_once_with(b"PDF binary data")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_data_url():
|
||||
"""Test extracting content from RAGDocument with data URL content."""
|
||||
data_url = "data:text/plain;base64,SGVsbG8gV29ybGQ=" # "Hello World" base64 encoded
|
||||
|
|
@ -74,7 +71,6 @@ async def test_content_from_doc_with_data_url():
|
|||
mock_content_from_data.assert_called_once_with(data_url)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_string():
|
||||
"""Test extracting content from RAGDocument with string content."""
|
||||
content_string = "This is plain text content"
|
||||
|
|
@ -85,7 +81,6 @@ async def test_content_from_doc_with_string():
|
|||
assert result == content_string
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_string_url():
|
||||
"""Test extracting content from RAGDocument with string URL content."""
|
||||
url_string = "https://example.com"
|
||||
|
|
@ -105,7 +100,6 @@ async def test_content_from_doc_with_string_url():
|
|||
mock_instance.get.assert_called_once_with(url_string)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_string_pdf_url():
|
||||
"""Test extracting content from RAGDocument with string URL pointing to a PDF."""
|
||||
url_string = "https://example.com/document.pdf"
|
||||
|
|
@ -130,7 +124,6 @@ async def test_content_from_doc_with_string_pdf_url():
|
|||
mock_parse_pdf.assert_called_once_with(b"PDF binary data")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_content_from_doc_with_interleaved_content():
|
||||
"""Test extracting content from RAGDocument with InterleavedContent (the new case added in the commit)."""
|
||||
interleaved_content = [TextContentItem(text="First item"), TextContentItem(text="Second item")]
|
||||
|
|
|
|||
|
|
@ -87,18 +87,15 @@ def helper(known_provider_model: ProviderModelEntry, known_provider_model2: Prov
|
|||
return ModelRegistryHelper([known_provider_model, known_provider_model2])
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_lookup_unknown_model(helper: ModelRegistryHelper, unknown_model: Model) -> None:
|
||||
assert helper.get_provider_model_id(unknown_model.model_id) is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_unknown_provider_model(helper: ModelRegistryHelper, unknown_model: Model) -> None:
|
||||
with pytest.raises(ValueError):
|
||||
await helper.register_model(unknown_model)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_model(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
model = Model(
|
||||
provider_id=known_model.provider_id,
|
||||
|
|
@ -110,7 +107,6 @@ async def test_register_model(helper: ModelRegistryHelper, known_model: Model) -
|
|||
assert helper.get_provider_model_id(model.model_id) == model.provider_resource_id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_model_from_alias(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
model = Model(
|
||||
provider_id=known_model.provider_id,
|
||||
|
|
@ -122,13 +118,11 @@ async def test_register_model_from_alias(helper: ModelRegistryHelper, known_mode
|
|||
assert helper.get_provider_model_id(model.model_id) == known_model.provider_resource_id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_model_existing(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
await helper.register_model(known_model)
|
||||
assert helper.get_provider_model_id(known_model.model_id) == known_model.provider_resource_id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_model_existing_different(
|
||||
helper: ModelRegistryHelper, known_model: Model, known_model2: Model
|
||||
) -> None:
|
||||
|
|
@ -137,7 +131,6 @@ async def test_register_model_existing_different(
|
|||
await helper.register_model(known_model)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_unregister_model(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
await helper.register_model(known_model) # duplicate entry
|
||||
assert helper.get_provider_model_id(known_model.model_id) == known_model.provider_model_id
|
||||
|
|
@ -145,18 +138,15 @@ async def test_unregister_model(helper: ModelRegistryHelper, known_model: Model)
|
|||
assert helper.get_provider_model_id(known_model.model_id) is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_unregister_unknown_model(helper: ModelRegistryHelper, unknown_model: Model) -> None:
|
||||
with pytest.raises(ValueError):
|
||||
await helper.unregister_model(unknown_model.model_id)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_model_during_init(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
assert helper.get_provider_model_id(known_model.provider_resource_id) == known_model.provider_model_id
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_unregister_model_during_init(helper: ModelRegistryHelper, known_model: Model) -> None:
|
||||
assert helper.get_provider_model_id(known_model.provider_resource_id) == known_model.provider_model_id
|
||||
await helper.unregister_model(known_model.provider_resource_id)
|
||||
|
|
|
|||
|
|
@ -11,7 +11,6 @@ import pytest
|
|||
from llama_stack.providers.utils.scheduler import JobStatus, Scheduler
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scheduler_unknown_backend():
|
||||
with pytest.raises(ValueError):
|
||||
Scheduler(backend="unknown")
|
||||
|
|
@ -26,7 +25,6 @@ async def wait_for_job_completed(sched: Scheduler, job_id: str) -> None:
|
|||
raise TimeoutError(f"Job {job_id} did not complete in time.")
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scheduler_naive():
|
||||
sched = Scheduler()
|
||||
|
||||
|
|
@ -87,7 +85,6 @@ async def test_scheduler_naive():
|
|||
assert job.logs[0][0] < job.logs[1][0]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scheduler_naive_handler_raises():
|
||||
sched = Scheduler()
|
||||
|
||||
|
|
|
|||
|
|
@ -9,7 +9,6 @@ from unittest.mock import AsyncMock, MagicMock, patch
|
|||
|
||||
import numpy as np
|
||||
import pytest
|
||||
import pytest_asyncio
|
||||
|
||||
from llama_stack.apis.files import Files
|
||||
from llama_stack.apis.inference import EmbeddingsResponse, Inference
|
||||
|
|
@ -91,13 +90,13 @@ def faiss_config():
|
|||
return config
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
@pytest.fixture
|
||||
async def faiss_index(embedding_dimension):
|
||||
index = await FaissIndex.create(dimension=embedding_dimension)
|
||||
yield index
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
@pytest.fixture
|
||||
async def faiss_adapter(faiss_config, mock_inference_api, mock_files_api) -> FaissVectorIOAdapter:
|
||||
# Create the adapter
|
||||
adapter = FaissVectorIOAdapter(config=faiss_config, inference_api=mock_inference_api, files_api=mock_files_api)
|
||||
|
|
@ -113,7 +112,6 @@ async def faiss_adapter(faiss_config, mock_inference_api, mock_files_api) -> Fai
|
|||
yield adapter
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_faiss_query_vector_returns_infinity_when_query_and_embedding_are_identical(
|
||||
faiss_index, sample_chunks, sample_embeddings, embedding_dimension
|
||||
):
|
||||
|
|
@ -136,7 +134,6 @@ async def test_faiss_query_vector_returns_infinity_when_query_and_embedding_are_
|
|||
assert response.chunks[1] == sample_chunks[1]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_health_success():
|
||||
"""Test that the health check returns OK status when faiss is working correctly."""
|
||||
# Create a fresh instance of FaissVectorIOAdapter for testing
|
||||
|
|
@ -160,7 +157,6 @@ async def test_health_success():
|
|||
mock_index_flat.assert_called_once_with(128) # VECTOR_DIMENSION is 128
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_health_failure():
|
||||
"""Test that the health check returns ERROR status when faiss encounters an error."""
|
||||
# Create a fresh instance of FaissVectorIOAdapter for testing
|
||||
|
|
|
|||
|
|
@ -10,7 +10,6 @@ from typing import Any
|
|||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import pytest
|
||||
import pytest_asyncio
|
||||
|
||||
from llama_stack.apis.inference import EmbeddingsResponse, Inference
|
||||
from llama_stack.apis.vector_io import (
|
||||
|
|
@ -68,7 +67,7 @@ def mock_api_service(sample_embeddings):
|
|||
return mock_api_service
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
@pytest.fixture
|
||||
async def qdrant_adapter(qdrant_config, mock_vector_db_store, mock_api_service, loop) -> QdrantVectorIOAdapter:
|
||||
adapter = QdrantVectorIOAdapter(config=qdrant_config, inference_api=mock_api_service)
|
||||
adapter.vector_db_store = mock_vector_db_store
|
||||
|
|
@ -80,7 +79,6 @@ async def qdrant_adapter(qdrant_config, mock_vector_db_store, mock_api_service,
|
|||
__QUERY = "Sample query"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.parametrize("max_query_chunks, expected_chunks", [(2, 2), (100, 60)])
|
||||
async def test_qdrant_adapter_returns_expected_chunks(
|
||||
qdrant_adapter: QdrantVectorIOAdapter,
|
||||
|
|
@ -111,7 +109,6 @@ def _prepare_for_json(value: Any) -> str:
|
|||
|
||||
|
||||
@patch("llama_stack.providers.utils.telemetry.trace_protocol._prepare_for_json", new=_prepare_for_json)
|
||||
@pytest.mark.asyncio
|
||||
async def test_qdrant_register_and_unregister_vector_db(
|
||||
qdrant_adapter: QdrantVectorIOAdapter,
|
||||
mock_vector_db,
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ import asyncio
|
|||
|
||||
import numpy as np
|
||||
import pytest
|
||||
import pytest_asyncio
|
||||
|
||||
from llama_stack.apis.vector_io import Chunk, QueryChunksResponse
|
||||
from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import (
|
||||
|
|
@ -34,7 +33,7 @@ def loop():
|
|||
return asyncio.new_event_loop()
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
@pytest.fixture
|
||||
async def sqlite_vec_index(embedding_dimension, tmp_path_factory):
|
||||
temp_dir = tmp_path_factory.getbasetemp()
|
||||
db_path = str(temp_dir / "test_sqlite.db")
|
||||
|
|
@ -43,14 +42,12 @@ async def sqlite_vec_index(embedding_dimension, tmp_path_factory):
|
|||
await index.delete()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunk_metadata(sqlite_vec_index, sample_chunks_with_metadata, sample_embeddings_with_metadata):
|
||||
await sqlite_vec_index.add_chunks(sample_chunks_with_metadata, sample_embeddings_with_metadata)
|
||||
response = await sqlite_vec_index.query_vector(sample_embeddings_with_metadata[-1], k=2, score_threshold=0.0)
|
||||
assert response.chunks[0].chunk_metadata == sample_chunks_with_metadata[-1].chunk_metadata
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_full_text_search(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
query_string = "Sentence 5"
|
||||
|
|
@ -68,7 +65,6 @@ async def test_query_chunks_full_text_search(sqlite_vec_index, sample_chunks, sa
|
|||
assert len(response_no_results.chunks) == 0, f"Expected 0 results, but got {len(response_no_results.chunks)}"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
||||
|
|
@ -90,7 +86,6 @@ async def test_query_chunks_hybrid(sqlite_vec_index, sample_chunks, sample_embed
|
|||
assert all(response.scores[i] >= response.scores[i + 1] for i in range(len(response.scores) - 1))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_full_text_search_k_greater_than_results(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
# Re-initialize with a clean index
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -103,7 +98,6 @@ async def test_query_chunks_full_text_search_k_greater_than_results(sqlite_vec_i
|
|||
assert any("Sentence 1 from document 0" in chunk.content for chunk in response.chunks), "Expected chunk not found"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_chunk_id_conflict(sqlite_vec_index, sample_chunks, embedding_dimension):
|
||||
"""Test that chunk IDs do not conflict across batches when inserting chunks."""
|
||||
# Reduce batch size to force multiple batches for same document
|
||||
|
|
@ -134,7 +128,6 @@ async def sqlite_vec_adapter(sqlite_connection):
|
|||
await adapter.shutdown()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_no_keyword_matches(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
"""Test hybrid search when keyword search returns no matches - should still return vector results."""
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -163,7 +156,6 @@ async def test_query_chunks_hybrid_no_keyword_matches(sqlite_vec_index, sample_c
|
|||
assert all(response.scores[i] >= response.scores[i + 1] for i in range(len(response.scores) - 1))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_score_threshold(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
"""Test hybrid search with a high score threshold."""
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -185,7 +177,6 @@ async def test_query_chunks_hybrid_score_threshold(sqlite_vec_index, sample_chun
|
|||
assert len(response.chunks) == 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_different_embedding(
|
||||
sqlite_vec_index, sample_chunks, sample_embeddings, embedding_dimension
|
||||
):
|
||||
|
|
@ -211,7 +202,6 @@ async def test_query_chunks_hybrid_different_embedding(
|
|||
assert all(response.scores[i] >= response.scores[i + 1] for i in range(len(response.scores) - 1))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_rrf_ranking(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
"""Test that RRF properly combines rankings when documents appear in both search methods."""
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -236,7 +226,6 @@ async def test_query_chunks_hybrid_rrf_ranking(sqlite_vec_index, sample_chunks,
|
|||
assert all(response.scores[i] >= response.scores[i + 1] for i in range(len(response.scores) - 1))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_score_selection(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
||||
|
|
@ -284,7 +273,6 @@ async def test_query_chunks_hybrid_score_selection(sqlite_vec_index, sample_chun
|
|||
assert response.scores[0] == pytest.approx(2.0 / 61.0, rel=1e-6) # Should behave like RRF
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_mixed_results(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
"""Test hybrid search with documents that appear in only one search method."""
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -313,7 +301,6 @@ async def test_query_chunks_hybrid_mixed_results(sqlite_vec_index, sample_chunks
|
|||
assert "document-2" in doc_ids # From keyword search
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_weighted_reranker_parametrization(
|
||||
sqlite_vec_index, sample_chunks, sample_embeddings
|
||||
):
|
||||
|
|
@ -369,7 +356,6 @@ async def test_query_chunks_hybrid_weighted_reranker_parametrization(
|
|||
)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_rrf_impact_factor(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
"""Test RRFReRanker with different impact factors."""
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
|
@ -401,7 +387,6 @@ async def test_query_chunks_hybrid_rrf_impact_factor(sqlite_vec_index, sample_ch
|
|||
assert response.scores[0] == pytest.approx(2.0 / 101.0, rel=1e-6)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_edge_cases(sqlite_vec_index, sample_chunks, sample_embeddings):
|
||||
await sqlite_vec_index.add_chunks(sample_chunks, sample_embeddings)
|
||||
|
||||
|
|
@ -445,7 +430,6 @@ async def test_query_chunks_hybrid_edge_cases(sqlite_vec_index, sample_chunks, s
|
|||
assert len(response.chunks) <= 100
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_hybrid_tie_breaking(
|
||||
sqlite_vec_index, sample_embeddings, embedding_dimension, tmp_path_factory
|
||||
):
|
||||
|
|
|
|||
|
|
@ -25,12 +25,10 @@ from llama_stack.providers.remote.vector_io.milvus.milvus import VECTOR_DBS_PREF
|
|||
# -v -s --tb=short --disable-warnings --asyncio-mode=auto
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_initialize_index(vector_index):
|
||||
await vector_index.initialize()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_add_chunks_query_vector(vector_index, sample_chunks, sample_embeddings):
|
||||
vector_index.delete()
|
||||
vector_index.initialize()
|
||||
|
|
@ -40,7 +38,6 @@ async def test_add_chunks_query_vector(vector_index, sample_chunks, sample_embed
|
|||
vector_index.delete()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_chunk_id_conflict(vector_index, sample_chunks, embedding_dimension):
|
||||
embeddings = np.random.rand(len(sample_chunks), embedding_dimension).astype(np.float32)
|
||||
await vector_index.add_chunks(sample_chunks, embeddings)
|
||||
|
|
@ -54,7 +51,6 @@ async def test_chunk_id_conflict(vector_index, sample_chunks, embedding_dimensio
|
|||
assert len(contents) == len(set(contents))
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_initialize_adapter_with_existing_kvstore(vector_io_adapter):
|
||||
key = f"{VECTOR_DBS_PREFIX}db1"
|
||||
dummy = VectorDB(
|
||||
|
|
@ -65,7 +61,6 @@ async def test_initialize_adapter_with_existing_kvstore(vector_io_adapter):
|
|||
await vector_io_adapter.initialize()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_persistence_across_adapter_restarts(vector_io_adapter):
|
||||
await vector_io_adapter.initialize()
|
||||
dummy = VectorDB(
|
||||
|
|
@ -79,7 +74,6 @@ async def test_persistence_across_adapter_restarts(vector_io_adapter):
|
|||
await vector_io_adapter.shutdown()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_register_and_unregister_vector_db(vector_io_adapter):
|
||||
unique_id = f"foo_db_{np.random.randint(1e6)}"
|
||||
dummy = VectorDB(
|
||||
|
|
@ -92,14 +86,12 @@ async def test_register_and_unregister_vector_db(vector_io_adapter):
|
|||
assert dummy.identifier not in vector_io_adapter.cache
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_unregistered_raises(vector_io_adapter):
|
||||
fake_emb = np.zeros(8, dtype=np.float32)
|
||||
with pytest.raises(ValueError):
|
||||
await vector_io_adapter.query_chunks("no_such_db", fake_emb)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_insert_chunks_calls_underlying_index(vector_io_adapter):
|
||||
fake_index = AsyncMock()
|
||||
vector_io_adapter._get_and_cache_vector_db_index = AsyncMock(return_value=fake_index)
|
||||
|
|
@ -110,7 +102,6 @@ async def test_insert_chunks_calls_underlying_index(vector_io_adapter):
|
|||
fake_index.insert_chunks.assert_awaited_once_with(chunks)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_insert_chunks_missing_db_raises(vector_io_adapter):
|
||||
vector_io_adapter._get_and_cache_vector_db_index = AsyncMock(return_value=None)
|
||||
|
||||
|
|
@ -118,7 +109,6 @@ async def test_insert_chunks_missing_db_raises(vector_io_adapter):
|
|||
await vector_io_adapter.insert_chunks("db_not_exist", [])
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_calls_underlying_index_and_returns(vector_io_adapter):
|
||||
expected = QueryChunksResponse(chunks=[Chunk(content="c1")], scores=[0.1])
|
||||
fake_index = AsyncMock(query_chunks=AsyncMock(return_value=expected))
|
||||
|
|
@ -130,7 +120,6 @@ async def test_query_chunks_calls_underlying_index_and_returns(vector_io_adapter
|
|||
assert response is expected
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_query_chunks_missing_db_raises(vector_io_adapter):
|
||||
vector_io_adapter._get_and_cache_vector_db_index = AsyncMock(return_value=None)
|
||||
|
||||
|
|
@ -138,7 +127,6 @@ async def test_query_chunks_missing_db_raises(vector_io_adapter):
|
|||
await vector_io_adapter.query_chunks("db_missing", "q", None)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_save_openai_vector_store(vector_io_adapter):
|
||||
store_id = "vs_1234"
|
||||
openai_vector_store = {
|
||||
|
|
@ -155,7 +143,6 @@ async def test_save_openai_vector_store(vector_io_adapter):
|
|||
assert vector_io_adapter.openai_vector_stores[openai_vector_store["id"]] == openai_vector_store
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_update_openai_vector_store(vector_io_adapter):
|
||||
store_id = "vs_1234"
|
||||
openai_vector_store = {
|
||||
|
|
@ -172,7 +159,6 @@ async def test_update_openai_vector_store(vector_io_adapter):
|
|||
assert vector_io_adapter.openai_vector_stores[openai_vector_store["id"]] == openai_vector_store
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_delete_openai_vector_store(vector_io_adapter):
|
||||
store_id = "vs_1234"
|
||||
openai_vector_store = {
|
||||
|
|
@ -188,7 +174,6 @@ async def test_delete_openai_vector_store(vector_io_adapter):
|
|||
assert openai_vector_store["id"] not in vector_io_adapter.openai_vector_stores
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_load_openai_vector_stores(vector_io_adapter):
|
||||
store_id = "vs_1234"
|
||||
openai_vector_store = {
|
||||
|
|
@ -204,7 +189,6 @@ async def test_load_openai_vector_stores(vector_io_adapter):
|
|||
assert loaded_stores[store_id] == openai_vector_store
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_save_openai_vector_store_file(vector_io_adapter, tmp_path_factory):
|
||||
store_id = "vs_1234"
|
||||
file_id = "file_1234"
|
||||
|
|
@ -226,7 +210,6 @@ async def test_save_openai_vector_store_file(vector_io_adapter, tmp_path_factory
|
|||
await vector_io_adapter._save_openai_vector_store_file(store_id, file_id, file_info, file_contents)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_update_openai_vector_store_file(vector_io_adapter, tmp_path_factory):
|
||||
store_id = "vs_1234"
|
||||
file_id = "file_1234"
|
||||
|
|
@ -260,7 +243,6 @@ async def test_update_openai_vector_store_file(vector_io_adapter, tmp_path_facto
|
|||
assert loaded_contents != file_info
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_load_openai_vector_store_file_contents(vector_io_adapter, tmp_path_factory):
|
||||
store_id = "vs_1234"
|
||||
file_id = "file_1234"
|
||||
|
|
@ -284,7 +266,6 @@ async def test_load_openai_vector_store_file_contents(vector_io_adapter, tmp_pat
|
|||
assert loaded_contents == file_contents
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_delete_openai_vector_store_file_from_storage(vector_io_adapter, tmp_path_factory):
|
||||
store_id = "vs_1234"
|
||||
file_id = "file_1234"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue