forked from phoenix-oss/llama-stack-mirror
6192bf43a4
* wip * scoring fn api * eval api * eval task * evaluate api update * pre commit * unwrap context -> config * config field doc * typo * naming fix * separate benchmark / app eval * api name * rename * wip tests * wip * datasetio test * delete unused * fixture * scoring resolve * fix scoring register * scoring test pass * score batch * scoring fix * fix eval * test eval works * remove type ignore * api refactor * add default task_eval_id for routing * add eval_id for jobs * remove type ignore * only keep 1 run_eval * fix optional * register task required * register task required * delete old tests * delete old tests * fixture return impl
55 lines
1.5 KiB
Python
55 lines
1.5 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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import pytest_asyncio
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from llama_stack.distribution.datatypes import Api, Provider
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from llama_stack.providers.tests.resolver import resolve_impls_for_test_v2
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from ..conftest import ProviderFixture, remote_stack_fixture
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@pytest.fixture(scope="session")
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def eval_remote() -> ProviderFixture:
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return remote_stack_fixture()
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@pytest.fixture(scope="session")
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def eval_meta_reference() -> ProviderFixture:
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return ProviderFixture(
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providers=[
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Provider(
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provider_id="meta-reference",
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provider_type="meta-reference",
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config={},
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)
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],
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)
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EVAL_FIXTURES = ["meta_reference", "remote"]
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@pytest_asyncio.fixture(scope="session")
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async def eval_stack(request):
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fixture_dict = request.param
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providers = {}
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provider_data = {}
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for key in ["datasetio", "eval", "scoring", "inference"]:
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fixture = request.getfixturevalue(f"{key}_{fixture_dict[key]}")
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providers[key] = fixture.providers
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if fixture.provider_data:
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provider_data.update(fixture.provider_data)
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impls = await resolve_impls_for_test_v2(
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[Api.eval, Api.datasetio, Api.inference, Api.scoring],
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providers,
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provider_data,
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)
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return impls
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