llama-stack-mirror/tests/verifications/openai_api/fixtures/fixtures.py
ehhuang 14146e4b3f
feat(verification): various improvements (#1921)
# What does this PR do?
- provider and their models now live in config.yaml
- better distinguish different cases within a test
- add model key to surface provider's model_id
- include example command to rerun single test case

## Test Plan
<img width="1173" alt="image"
src="https://github.com/user-attachments/assets/b414baf0-c768-451f-8c3b-c2905cf36fac"
/>
2025-04-10 10:26:19 -07:00

105 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 os
from pathlib import Path
import pytest
import yaml
from openai import OpenAI
# --- Helper Function to Load Config ---
def _load_all_verification_configs():
"""Load and aggregate verification configs from the conf/ directory."""
# Note: Path is relative to *this* file (fixtures.py)
conf_dir = Path(__file__).parent.parent.parent / "conf"
if not conf_dir.is_dir():
# Use pytest.fail if called during test collection, otherwise raise error
# For simplicity here, we'll raise an error, assuming direct calls
# are less likely or can handle it.
raise FileNotFoundError(f"Verification config directory not found at {conf_dir}")
all_provider_configs = {}
yaml_files = list(conf_dir.glob("*.yaml"))
if not yaml_files:
raise FileNotFoundError(f"No YAML configuration files found in {conf_dir}")
for config_path in yaml_files:
provider_name = config_path.stem
try:
with open(config_path, "r") as f:
provider_config = yaml.safe_load(f)
if provider_config:
all_provider_configs[provider_name] = provider_config
else:
# Log warning if possible, or just skip empty files silently
print(f"Warning: Config file {config_path} is empty or invalid.")
except Exception as e:
raise IOError(f"Error loading config file {config_path}: {e}") from e
return {"providers": all_provider_configs}
# --- End Helper Function ---
@pytest.fixture(scope="session")
def verification_config():
"""Pytest fixture to provide the loaded verification config."""
try:
return _load_all_verification_configs()
except (FileNotFoundError, IOError) as e:
pytest.fail(str(e)) # Fail test collection if config loading fails
@pytest.fixture
def provider(request, verification_config):
provider = request.config.getoption("--provider")
base_url = request.config.getoption("--base-url")
if provider and base_url and verification_config["providers"][provider]["base_url"] != base_url:
raise ValueError(f"Provider {provider} is not supported for base URL {base_url}")
if not provider:
if not base_url:
raise ValueError("Provider and base URL are not provided")
for provider, metadata in verification_config["providers"].items():
if metadata["base_url"] == base_url:
provider = provider
break
return provider
@pytest.fixture
def base_url(request, provider, verification_config):
return request.config.getoption("--base-url") or verification_config["providers"][provider]["base_url"]
@pytest.fixture
def api_key(request, provider, verification_config):
provider_conf = verification_config.get("providers", {}).get(provider, {})
api_key_env_var = provider_conf.get("api_key_var")
key_from_option = request.config.getoption("--api-key")
key_from_env = os.getenv(api_key_env_var) if api_key_env_var else None
final_key = key_from_option or key_from_env
return final_key
@pytest.fixture
def model_mapping(provider, providers_model_mapping):
return providers_model_mapping[provider]
@pytest.fixture
def openai_client(base_url, api_key):
return OpenAI(
base_url=base_url,
api_key=api_key,
)