llama-stack/llama_stack/providers/tests/eval/conftest.py
Xi Yan 6deef1ece0
rebase eval test w/ tool_runtime fixtures (#773)
# 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.
2025-01-15 12:55:19 -08:00

111 lines
3.5 KiB
Python

# 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
from ..agents.fixtures import AGENTS_FIXTURES
from ..conftest import get_provider_fixture_overrides
from ..datasetio.fixtures import DATASETIO_FIXTURES
from ..inference.fixtures import INFERENCE_FIXTURES
from ..memory.fixtures import MEMORY_FIXTURES
from ..safety.fixtures import SAFETY_FIXTURES
from ..scoring.fixtures import SCORING_FIXTURES
from ..tools.fixtures import TOOL_RUNTIME_FIXTURES
from .fixtures import EVAL_FIXTURES
DEFAULT_PROVIDER_COMBINATIONS = [
pytest.param(
{
"eval": "meta_reference",
"scoring": "basic",
"datasetio": "localfs",
"inference": "fireworks",
"agents": "meta_reference",
"safety": "llama_guard",
"memory": "faiss",
"tool_runtime": "memory_and_search",
},
id="meta_reference_eval_fireworks_inference",
marks=pytest.mark.meta_reference_eval_fireworks_inference,
),
pytest.param(
{
"eval": "meta_reference",
"scoring": "basic",
"datasetio": "localfs",
"inference": "together",
"agents": "meta_reference",
"safety": "llama_guard",
"memory": "faiss",
"tool_runtime": "memory_and_search",
},
id="meta_reference_eval_together_inference",
marks=pytest.mark.meta_reference_eval_together_inference,
),
pytest.param(
{
"eval": "meta_reference",
"scoring": "basic",
"datasetio": "huggingface",
"inference": "together",
"agents": "meta_reference",
"safety": "llama_guard",
"memory": "faiss",
"tool_runtime": "memory_and_search",
},
id="meta_reference_eval_together_inference_huggingface_datasetio",
marks=pytest.mark.meta_reference_eval_together_inference_huggingface_datasetio,
),
]
def pytest_configure(config):
for fixture_name in [
"meta_reference_eval_fireworks_inference",
"meta_reference_eval_together_inference",
"meta_reference_eval_together_inference_huggingface_datasetio",
]:
config.addinivalue_line(
"markers",
f"{fixture_name}: marks tests as {fixture_name} specific",
)
def pytest_addoption(parser):
parser.addoption(
"--inference-model",
action="store",
default="meta-llama/Llama-3.2-3B-Instruct",
help="Specify the inference model to use for testing",
)
parser.addoption(
"--judge-model",
action="store",
default="meta-llama/Llama-3.1-8B-Instruct",
help="Specify the judge model to use for testing",
)
def pytest_generate_tests(metafunc):
if "eval_stack" in metafunc.fixturenames:
available_fixtures = {
"eval": EVAL_FIXTURES,
"scoring": SCORING_FIXTURES,
"datasetio": DATASETIO_FIXTURES,
"inference": INFERENCE_FIXTURES,
"agents": AGENTS_FIXTURES,
"safety": SAFETY_FIXTURES,
"memory": MEMORY_FIXTURES,
"tool_runtime": TOOL_RUNTIME_FIXTURES,
}
combinations = (
get_provider_fixture_overrides(metafunc.config, available_fixtures)
or DEFAULT_PROVIDER_COMBINATIONS
)
metafunc.parametrize("eval_stack", combinations, indirect=True)