chore: import upstream snapshot with attribution
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@@ -0,0 +1,73 @@
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import logging
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import time
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from contextlib import contextmanager
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import requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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popen_launch_server,
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)
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logger = logging.getLogger(__name__)
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@contextmanager
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def openai_api_env(api_key: str):
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"""Context manager to set OpenAI API environment variables."""
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import os
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original_api_key = os.environ.get("OPENAI_API_KEY")
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original_base_url = os.environ.get("OPENAI_API_BASE")
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os.environ["OPENAI_API_KEY"] = api_key
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os.environ["OPENAI_API_BASE"] = f"{DEFAULT_URL_FOR_TEST}/v1"
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try:
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yield
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finally:
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if original_api_key is not None:
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os.environ["OPENAI_API_KEY"] = original_api_key
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else:
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del os.environ["OPENAI_API_KEY"]
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if original_base_url is not None:
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os.environ["OPENAI_API_BASE"] = original_base_url
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else:
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del os.environ["OPENAI_API_BASE"]
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class DefaultServerBase(CustomTestCase):
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model = None
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base_url = DEFAULT_URL_FOR_TEST
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timeout = DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH
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other_args: list[str] = []
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# For OpenAI API settings
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api_key = "sk-123456"
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@classmethod
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def setUpClass(cls):
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assert cls.model is not None, "Please set cls.model in subclass"
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# Set OpenAI API key and base URL environment variables.
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# Needed for lmm-evals to work.
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with openai_api_env(cls.api_key):
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=cls.timeout,
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other_args=cls.other_args,
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid, wait_timeout=60)
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time.sleep(2)
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@classmethod
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def flush_cache(cls):
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requests.post(cls.base_url + "/flush_cache")
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