forked from phoenix-oss/llama-stack-mirror
34ab7a3b6c
Lint check in main branch is failing. This fixes the lint check after we moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We need to move to a `ruff.toml` file as well as fixing and ignoring some additional checks. Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
76 lines
2.3 KiB
Python
76 lines
2.3 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 ..conftest import get_provider_fixture_overrides
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from ..datasetio.fixtures import DATASETIO_FIXTURES
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from ..inference.fixtures import INFERENCE_FIXTURES
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from .fixtures import SCORING_FIXTURES
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DEFAULT_PROVIDER_COMBINATIONS = [
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pytest.param(
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{
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"scoring": "basic",
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"datasetio": "localfs",
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"inference": "together",
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},
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id="basic_scoring_together_inference",
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marks=pytest.mark.basic_scoring_together_inference,
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),
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pytest.param(
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{
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"scoring": "braintrust",
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"datasetio": "localfs",
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"inference": "together",
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},
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id="braintrust_scoring_together_inference",
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marks=pytest.mark.braintrust_scoring_together_inference,
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),
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pytest.param(
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{
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"scoring": "llm_as_judge",
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"datasetio": "localfs",
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"inference": "together",
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},
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id="llm_as_judge_scoring_together_inference",
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marks=pytest.mark.llm_as_judge_scoring_together_inference,
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),
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]
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def pytest_configure(config):
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for fixture_name in [
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"basic_scoring_together_inference",
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"braintrust_scoring_together_inference",
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"llm_as_judge_scoring_together_inference",
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]:
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config.addinivalue_line(
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"markers",
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f"{fixture_name}: marks tests as {fixture_name} specific",
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)
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def pytest_generate_tests(metafunc):
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judge_model = metafunc.config.getoption("--judge-model")
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if "judge_model" in metafunc.fixturenames:
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metafunc.parametrize(
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"judge_model",
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[pytest.param(judge_model, id="")],
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indirect=True,
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)
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if "scoring_stack" in metafunc.fixturenames:
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available_fixtures = {
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"scoring": SCORING_FIXTURES,
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"datasetio": DATASETIO_FIXTURES,
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"inference": INFERENCE_FIXTURES,
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}
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combinations = (
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get_provider_fixture_overrides(metafunc.config, available_fixtures) or DEFAULT_PROVIDER_COMBINATIONS
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)
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metafunc.parametrize("scoring_stack", combinations, indirect=True)
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