forked from phoenix-oss/llama-stack-mirror
e4a1579e63
# What does this PR do? - Configured ruff linter to automatically fix import sorting issues. - Set --exit-non-zero-on-fix to ensure non-zero exit code when fixes are applied. - Enabled the 'I' selection to focus on import-related linting rules. - Ran the linter, and formatted all codebase imports accordingly. - Removed the black dep from the "dev" group since we use ruff Signed-off-by: Sébastien Han <seb@redhat.com> [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan [Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.*] [//]: # (## Documentation) [//]: # (- [ ] Added a Changelog entry if the change is significant) Signed-off-by: Sébastien Han <seb@redhat.com>
87 lines
2.1 KiB
Python
87 lines
2.1 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, ModelInput, Provider
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from llama_stack.providers.tests.resolver import construct_stack_for_test
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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="inline::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(
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request,
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inference_model,
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judge_model,
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tool_group_input_memory,
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tool_group_input_tavily_search,
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):
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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 [
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"datasetio",
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"eval",
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"scoring",
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"inference",
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"agents",
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"safety",
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"vector_io",
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"tool_runtime",
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]:
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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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test_stack = await construct_stack_for_test(
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[
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Api.eval,
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Api.datasetio,
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Api.inference,
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Api.scoring,
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Api.agents,
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Api.safety,
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Api.vector_io,
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Api.tool_runtime,
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],
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providers,
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provider_data,
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models=[
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ModelInput(model_id=model)
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for model in [
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inference_model,
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judge_model,
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]
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],
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tool_groups=[tool_group_input_memory, tool_group_input_tavily_search],
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)
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return test_stack.impls
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