test_scoring

This commit is contained in:
Xi Yan 2024-10-23 13:01:49 -07:00
parent 7c280e18fb
commit 92e32f80ad
15 changed files with 240 additions and 5 deletions

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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.

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providers:
datasetio:
- provider_id: test-meta
provider_type: meta-reference
config: {}
scoring:
- provider_id: test-meta
provider_type: meta-reference
config: {}

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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
import pytest_asyncio
from llama_stack.apis.common.type_system import * # noqa: F403
from llama_stack.apis.datasetio import * # noqa: F403
from llama_stack.distribution.datatypes import * # noqa: F403
from llama_stack.providers.tests.resolver import resolve_impls_for_test
# How to run this test:
#
# 1. Ensure you have a conda with the right dependencies installed. This is a bit tricky
# since it depends on the provider you are testing. On top of that you need
# `pytest` and `pytest-asyncio` installed.
#
# 2. Copy and modify the provider_config_example.yaml depending on the provider you are testing.
#
# 3. Run:
#
# ```bash
# PROVIDER_ID=<your_provider> \
# PROVIDER_CONFIG=provider_config.yaml \
# pytest -s llama_stack/providers/tests/scoring/test_scoring.py \
# --tb=short --disable-warnings
# ```
@pytest_asyncio.fixture(scope="session")
async def scoring_settings():
impls = await resolve_impls_for_test(Api.scoring, deps=[Api.datasetio])
return {
"scoring_impl": impls[Api.scoring],
"scoring_functions_impl": impls[Api.scoring_functions],
}
@pytest.mark.asyncio
async def test_scoring_functions_list(scoring_settings):
# NOTE: this needs you to ensure that you are starting from a clean state
# but so far we don't have an unregister API unfortunately, so be careful
scoring_functions_impl = scoring_settings["scoring_functions_impl"]
response = await scoring_functions_impl.list_scoring_functions()
assert isinstance(response, list)
assert len(response) == 0