# 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 import pytest from llama_stack import LlamaStackAsLibraryClient from llama_stack.providers.tests.env import get_env_or_fail from llama_stack_client import LlamaStackClient from report import Report def pytest_configure(config): config.option.tbstyle = "short" config.option.disable_warnings = True # Note: # if report_path is not provided (aka no option --report in the pytest command), # it will be set to False # if --report will give None ( in this case we infer report_path) # if --report /a/b is provided, it will be set to the path provided # We want to handle all these cases and hence explicitly check for False report_path = config.getoption("--report") if report_path is not False: config.pluginmanager.register(Report(report_path)) TEXT_MODEL = "meta-llama/Llama-3.1-8B-Instruct" VISION_MODEL = "meta-llama/Llama-3.2-11B-Vision-Instruct" def pytest_addoption(parser): parser.addoption( "--report", action="store", default=False, nargs="?", type=str, help="Path where the test report should be written, e.g. --report=/path/to/report.md", ) parser.addoption( "--inference-model", action="store", default=TEXT_MODEL, help="Specify the inference model to use for testing", ) parser.addoption( "--vision-inference-model", action="store", default=VISION_MODEL, help="Specify the vision inference model to use for testing", ) @pytest.fixture(scope="session") def provider_data(): # check env for tavily secret, brave secret and inject all into provider data provider_data = {} if os.environ.get("TAVILY_SEARCH_API_KEY"): provider_data["tavily_search_api_key"] = os.environ["TAVILY_SEARCH_API_KEY"] if os.environ.get("BRAVE_SEARCH_API_KEY"): provider_data["brave_search_api_key"] = os.environ["BRAVE_SEARCH_API_KEY"] return provider_data if len(provider_data) > 0 else None @pytest.fixture(scope="session") def llama_stack_client(provider_data): if os.environ.get("LLAMA_STACK_CONFIG"): client = LlamaStackAsLibraryClient( get_env_or_fail("LLAMA_STACK_CONFIG"), provider_data=provider_data, skip_logger_removal=True, ) if not client.initialize(): raise RuntimeError("Initialization failed") elif os.environ.get("LLAMA_STACK_BASE_URL"): client = LlamaStackClient( base_url=get_env_or_fail("LLAMA_STACK_BASE_URL"), provider_data=provider_data, ) else: raise ValueError("LLAMA_STACK_CONFIG or LLAMA_STACK_BASE_URL must be set") return client def pytest_generate_tests(metafunc): if "text_model_id" in metafunc.fixturenames: metafunc.parametrize( "text_model_id", [metafunc.config.getoption("--inference-model")], scope="session", ) if "vision_model_id" in metafunc.fixturenames: metafunc.parametrize( "vision_model_id", [metafunc.config.getoption("--vision-inference-model")], scope="session", )