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6deef1ece0
# What does this PR do? - fix eval tests to include tool_runtime fixtures - rebase eval for extracting memory retrieval context ## Test Plan ``` pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio llama_stack/providers/tests/eval/test_eval.py pytest -v -s -m braintrust_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py ``` - With notebook: https://gist.github.com/yanxi0830/1260a6cb7ec42498a195b88422462a34 ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
111 lines
3.5 KiB
Python
111 lines
3.5 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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from ..agents.fixtures import AGENTS_FIXTURES
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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 ..memory.fixtures import MEMORY_FIXTURES
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from ..safety.fixtures import SAFETY_FIXTURES
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from ..scoring.fixtures import SCORING_FIXTURES
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from ..tools.fixtures import TOOL_RUNTIME_FIXTURES
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from .fixtures import EVAL_FIXTURES
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DEFAULT_PROVIDER_COMBINATIONS = [
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pytest.param(
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{
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"eval": "meta_reference",
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"scoring": "basic",
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"datasetio": "localfs",
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"inference": "fireworks",
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"agents": "meta_reference",
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"safety": "llama_guard",
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"memory": "faiss",
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"tool_runtime": "memory_and_search",
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},
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id="meta_reference_eval_fireworks_inference",
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marks=pytest.mark.meta_reference_eval_fireworks_inference,
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),
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pytest.param(
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{
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"eval": "meta_reference",
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"scoring": "basic",
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"datasetio": "localfs",
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"inference": "together",
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"agents": "meta_reference",
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"safety": "llama_guard",
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"memory": "faiss",
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"tool_runtime": "memory_and_search",
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},
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id="meta_reference_eval_together_inference",
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marks=pytest.mark.meta_reference_eval_together_inference,
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),
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pytest.param(
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{
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"eval": "meta_reference",
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"scoring": "basic",
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"datasetio": "huggingface",
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"inference": "together",
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"agents": "meta_reference",
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"safety": "llama_guard",
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"memory": "faiss",
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"tool_runtime": "memory_and_search",
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},
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id="meta_reference_eval_together_inference_huggingface_datasetio",
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marks=pytest.mark.meta_reference_eval_together_inference_huggingface_datasetio,
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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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"meta_reference_eval_fireworks_inference",
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"meta_reference_eval_together_inference",
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"meta_reference_eval_together_inference_huggingface_datasetio",
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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_addoption(parser):
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parser.addoption(
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"--inference-model",
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action="store",
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default="meta-llama/Llama-3.2-3B-Instruct",
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help="Specify the inference model to use for testing",
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)
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parser.addoption(
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"--judge-model",
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action="store",
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default="meta-llama/Llama-3.1-8B-Instruct",
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help="Specify the judge model to use for testing",
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)
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def pytest_generate_tests(metafunc):
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if "eval_stack" in metafunc.fixturenames:
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available_fixtures = {
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"eval": EVAL_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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"agents": AGENTS_FIXTURES,
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"safety": SAFETY_FIXTURES,
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"memory": MEMORY_FIXTURES,
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"tool_runtime": TOOL_RUNTIME_FIXTURES,
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}
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combinations = (
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get_provider_fixture_overrides(metafunc.config, available_fixtures)
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or DEFAULT_PROVIDER_COMBINATIONS
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)
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metafunc.parametrize("eval_stack", combinations, indirect=True)
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