llama-stack-mirror/tests/verifications/openai_api/conftest.py
Ashwin Bharambe 6463ee7633
feat: allow using llama-stack-library-client from verifications (#2238)
Having to run (and re-run) a server while running verifications can be
annoying while you are iterating on code. This makes it so you can use
the library client -- and because it is OpenAI client compatible, it all
works.

## Test Plan

```
pytest -s -v tests/verifications/openai_api/test_responses.py \
   --provider=stack:together \
   --model meta-llama/Llama-4-Scout-17B-16E-Instruct
```
2025-05-23 11:43:41 -07:00

40 lines
1.7 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.
from tests.verifications.openai_api.fixtures.fixtures import _load_all_verification_configs
def pytest_generate_tests(metafunc):
"""Dynamically parametrize tests based on the selected provider and config."""
if "model" in metafunc.fixturenames:
provider = metafunc.config.getoption("provider")
if not provider:
print("Warning: --provider not specified. Skipping model parametrization.")
metafunc.parametrize("model", [])
return
model = metafunc.config.getoption("model")
if model:
metafunc.parametrize("model", [model])
return
try:
config_data = _load_all_verification_configs()
except (OSError, FileNotFoundError) as e:
print(f"ERROR loading verification configs: {e}")
config_data = {"providers": {}}
provider_config = config_data.get("providers", {}).get(provider)
if provider_config:
models = provider_config.get("models", [])
if models:
metafunc.parametrize("model", models)
else:
print(f"Warning: No models found for provider '{provider}' in config.")
metafunc.parametrize("model", []) # Parametrize empty if no models found
else:
print(f"Warning: Provider '{provider}' not found in config. No models parametrized.")
metafunc.parametrize("model", []) # Parametrize empty if provider not found