e489ad7a21
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com>
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com>
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com>
106 lines
3.3 KiB
Python
106 lines
3.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import contextlib
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import os
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from typing import Any, List, NamedTuple
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import openai # use the official client for correctness check
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import pytest
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from ...utils import RemoteOpenAIServer
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# # any model with a chat template should work here
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MODEL_NAME = "Qwen/Qwen2-1.5B-Instruct"
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DUMMY_CHAT_TEMPLATE = """{% for message in messages %}{{message['role'] + ': ' + message['content'] + '\\n'}}{% endfor %}""" # noqa: E501
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API_KEY = "abc-123"
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ERROR_API_KEY = "abc"
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ROOT_PATH = "llm"
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@pytest.fixture(scope="module")
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def server():
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args = [
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# use half precision for speed and memory savings in CI environment
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"--dtype",
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"float16",
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"--enforce-eager",
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"--max-model-len",
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"4080",
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"--root-path", # use --root-path=/llm for testing
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"/" + ROOT_PATH,
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"--chat-template",
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DUMMY_CHAT_TEMPLATE,
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]
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envs = os.environ.copy()
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envs["VLLM_API_KEY"] = API_KEY
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with RemoteOpenAIServer(MODEL_NAME, args, env_dict=envs) as remote_server:
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yield remote_server
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class TestCase(NamedTuple):
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model_name: str
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base_url: List[str]
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api_key: str
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expected_error: Any
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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"test_case",
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[
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TestCase(
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model_name=MODEL_NAME,
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base_url=["v1"], # http://localhost:8000/v1
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api_key=ERROR_API_KEY,
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expected_error=openai.AuthenticationError),
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TestCase(
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model_name=MODEL_NAME,
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base_url=[ROOT_PATH, "v1"], # http://localhost:8000/llm/v1
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api_key=ERROR_API_KEY,
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expected_error=openai.AuthenticationError),
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TestCase(
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model_name=MODEL_NAME,
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base_url=["v1"], # http://localhost:8000/v1
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api_key=API_KEY,
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expected_error=None),
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TestCase(
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model_name=MODEL_NAME,
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base_url=[ROOT_PATH, "v1"], # http://localhost:8000/llm/v1
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api_key=API_KEY,
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expected_error=None),
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],
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)
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async def test_chat_session_root_path_with_api_key(server: RemoteOpenAIServer,
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test_case: TestCase):
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saying: str = "Here is a common saying about apple. An apple a day, keeps"
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ctx = contextlib.nullcontext()
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if test_case.expected_error is not None:
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ctx = pytest.raises(test_case.expected_error)
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with ctx:
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client = openai.AsyncOpenAI(
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api_key=test_case.api_key,
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base_url=server.url_for(*test_case.base_url),
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max_retries=0)
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chat_completion = await client.chat.completions.create(
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model=test_case.model_name,
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messages=[{
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"role": "user",
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"content": "tell me a common saying"
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}, {
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"role": "assistant",
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"content": saying
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}],
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extra_body={
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"continue_final_message": True,
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"add_generation_prompt": False
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})
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assert chat_completion.id is not None
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assert len(chat_completion.choices) == 1
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choice = chat_completion.choices[0]
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assert choice.finish_reason == "stop"
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message = choice.message
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assert len(message.content) > 0
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assert message.role == "assistant"
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