199 lines
7.3 KiB
Python
199 lines
7.3 KiB
Python
"""
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Usage:
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentAPI.test_streaming_separate_reasoning_false
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentAPI.test_streaming_separate_reasoning_true
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentAPI.test_streaming_separate_reasoning_true_stream_reasoning_false
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentAPI.test_nonstreaming_separate_reasoning_false
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentAPI.test_nonstreaming_separate_reasoning_true
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentStartup.test_nonstreaming
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python3 -m unittest openai_server.features.test_reasoning_content.TestReasoningContentStartup.test_streaming
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"""
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import json
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# CHANGE: Import router launcher instead of server launcher
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import sys
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import unittest
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from pathlib import Path
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import openai
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import requests
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_TEST_DIR = Path(__file__).parent
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sys.path.insert(0, str(_TEST_DIR.parent))
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from fixtures import popen_launch_workers_and_router
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from util import (
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DEFAULT_REASONING_MODEL_PATH,
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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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kill_process_tree,
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)
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class TestReasoningContentAPI(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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# CHANGE: Launch gRPC router with integrated workers (single command)
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cls.model = DEFAULT_REASONING_MODEL_PATH
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cls.base_url = DEFAULT_URL_FOR_TEST
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cls.api_key = "sk-1234"
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cls.cluster = popen_launch_workers_and_router(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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api_key=cls.api_key,
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router_args=[
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"--reasoning-parser",
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"deepseek_r1",
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],
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num_workers=1,
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tp_size=2,
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)
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cls.base_url += "/v1"
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@classmethod
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def tearDownClass(cls):
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# Cleanup router and workers
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kill_process_tree(cls.cluster["router"].pid)
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for worker in cls.cluster.get("workers", []):
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kill_process_tree(worker.pid)
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def test_streaming_separate_reasoning_false(self):
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# Test streaming with separate_reasoning=False, reasoning_content should be empty
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client = openai.Client(api_key=self.api_key, base_url=self.base_url)
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payload = {
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"model": self.model,
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"messages": [
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{
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"role": "user",
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"content": "What is 1+3?",
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}
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],
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"max_tokens": 100,
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"stream": True,
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"extra_body": {"separate_reasoning": False},
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}
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response = client.chat.completions.create(**payload)
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reasoning_content = ""
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content = ""
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for chunk in response:
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if chunk.choices[0].delta.content:
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content += chunk.choices[0].delta.content
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elif chunk.choices[0].delta.reasoning_content:
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reasoning_content += chunk.choices[0].delta.reasoning_content
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assert len(reasoning_content) == 0
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assert len(content) > 0
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def test_streaming_separate_reasoning_true(self):
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# Test streaming with separate_reasoning=True, reasoning_content should not be empty
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client = openai.Client(api_key=self.api_key, base_url=self.base_url)
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payload = {
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"model": self.model,
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"messages": [
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{
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"role": "user",
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"content": "What is 1+3?",
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}
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],
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"max_tokens": 100,
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"stream": True,
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"extra_body": {"separate_reasoning": True},
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}
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response = client.chat.completions.create(**payload)
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reasoning_content = ""
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content = ""
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for chunk in response:
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if chunk.choices[0].delta.content:
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content += chunk.choices[0].delta.content
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elif chunk.choices[0].delta.reasoning_content:
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reasoning_content += chunk.choices[0].delta.reasoning_content
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assert len(reasoning_content) > 0
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assert len(content) > 0
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def test_streaming_separate_reasoning_true_stream_reasoning_false(self):
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# Test streaming with separate_reasoning=True, reasoning_content should not be empty
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client = openai.Client(api_key=self.api_key, base_url=self.base_url)
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payload = {
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"model": self.model,
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"messages": [
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{
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"role": "user",
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"content": "What is 1+3?",
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}
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],
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"max_tokens": 100,
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"stream": True,
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"extra_body": {"separate_reasoning": True, "stream_reasoning": False},
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}
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response = client.chat.completions.create(**payload)
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reasoning_content = ""
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content = ""
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first_chunk = False
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for chunk in response:
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if chunk.choices[0].delta.reasoning_content:
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reasoning_content = chunk.choices[0].delta.reasoning_content
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first_chunk = True
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if chunk.choices[0].delta.content:
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content += chunk.choices[0].delta.content
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if not first_chunk:
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reasoning_content = chunk.choices[0].delta.reasoning_content
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first_chunk = True
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if not first_chunk:
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assert (
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not chunk.choices[0].delta.reasoning_content
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or len(chunk.choices[0].delta.reasoning_content) == 0
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)
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assert len(reasoning_content) > 0
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assert len(content) > 0
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def test_nonstreaming_separate_reasoning_false(self):
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# Test non-streaming with separate_reasoning=False, reasoning_content should be empty
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client = openai.Client(api_key=self.api_key, base_url=self.base_url)
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payload = {
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"model": self.model,
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"messages": [
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{
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"role": "user",
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"content": "What is 1+3?",
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}
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],
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"max_tokens": 100,
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"extra_body": {"separate_reasoning": False},
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}
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response = client.chat.completions.create(**payload)
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assert (
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not response.choices[0].message.reasoning_content
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or len(response.choices[0].message.reasoning_content) == 0
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)
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assert len(response.choices[0].message.content) > 0
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def test_nonstreaming_separate_reasoning_true(self):
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# Test non-streaming with separate_reasoning=True, reasoning_content should not be empty
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client = openai.Client(api_key=self.api_key, base_url=self.base_url)
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payload = {
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"model": self.model,
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"messages": [
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{
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"role": "user",
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"content": "What is 1+3?",
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}
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],
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"max_tokens": 100,
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"extra_body": {"separate_reasoning": True},
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}
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response = client.chat.completions.create(**payload)
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assert len(response.choices[0].message.reasoning_content) > 0
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assert len(response.choices[0].message.content) > 0
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if __name__ == "__main__":
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unittest.main()
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