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30b2e6a495
# 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`
116 lines
3.7 KiB
Python
116 lines
3.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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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.agents import AgentConfig, Turn
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from llama_stack.apis.inference import SamplingParams, UserMessage
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from llama_stack.providers.datatypes import Api
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from llama_stack.providers.utils.kvstore import kvstore_impl
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from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
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@pytest.fixture
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def sample_messages():
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return [
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UserMessage(content="What's the weather like today?"),
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]
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def pick_inference_model(inference_model):
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return inference_model
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def create_agent_session(agents_impl, agent_config):
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return agents_impl.create_agent_session(agent_config)
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@pytest.fixture
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def common_params(inference_model):
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inference_model = pick_inference_model(inference_model)
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return dict(
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model=inference_model,
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instructions="You are a helpful assistant.",
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enable_session_persistence=True,
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sampling_params=SamplingParams(temperature=0.7, top_p=0.95),
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input_shields=[],
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output_shields=[],
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tools=[],
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max_infer_iters=5,
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)
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@pytest.mark.skip(reason="This test needs to be migrated to api / client-sdk world")
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async def test_delete_agents_and_sessions(self, agents_stack, common_params):
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agents_impl = agents_stack.impls[Api.agents]
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agent_id, session_id = await create_agent_session(
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agents_impl,
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AgentConfig(
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**{
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**common_params,
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"input_shields": [],
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"output_shields": [],
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}
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),
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)
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run_config = agents_stack.run_config
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provider_config = run_config.providers["agents"][0].config
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persistence_store = await kvstore_impl(SqliteKVStoreConfig(**provider_config["persistence_store"]))
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await agents_impl.delete_agents_session(agent_id, session_id)
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session_response = await persistence_store.get(f"session:{agent_id}:{session_id}")
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await agents_impl.delete_agents(agent_id)
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agent_response = await persistence_store.get(f"agent:{agent_id}")
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assert session_response is None
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assert agent_response is None
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@pytest.mark.skip(reason="This test needs to be migrated to api / client-sdk world")
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async def test_get_agent_turns_and_steps(self, agents_stack, sample_messages, common_params):
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agents_impl = agents_stack.impls[Api.agents]
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agent_id, session_id = await create_agent_session(
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agents_impl,
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AgentConfig(
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**{
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**common_params,
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"input_shields": [],
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"output_shields": [],
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}
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),
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)
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# Create and execute a turn
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turn_request = dict(
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agent_id=agent_id,
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session_id=session_id,
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messages=sample_messages,
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stream=True,
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)
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turn_response = [chunk async for chunk in await agents_impl.create_agent_turn(**turn_request)]
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final_event = turn_response[-1].event.payload
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turn_id = final_event.turn.turn_id
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provider_config = agents_stack.run_config.providers["agents"][0].config
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persistence_store = await kvstore_impl(SqliteKVStoreConfig(**provider_config["persistence_store"]))
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turn = await persistence_store.get(f"session:{agent_id}:{session_id}:{turn_id}")
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response = await agents_impl.get_agents_turn(agent_id, session_id, turn_id)
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assert isinstance(response, Turn)
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assert response == final_event.turn
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assert turn == final_event.turn.model_dump_json()
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steps = final_event.turn.steps
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step_id = steps[0].step_id
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step_response = await agents_impl.get_agents_step(agent_id, session_id, turn_id, step_id)
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assert step_response.step == steps[0]
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