Merge pull request #2048 from xinnan-tech/hot-fix

update:优化测试工具目录结构

README.md

@@ -227,8 +227,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 | 工具名称 | 位置 | 使用方法 | 功能说明 |
 |:---:|:---|:---:|:---:|
 | 音频交互测试工具 | main》xiaozhi-server》test》test_page.html | 使用谷歌浏览器直接打开 | 测试音频播放和接收功能，验证Python端音频处理是否正常 |
-| 模型响应测试工具1 | main》xiaozhi-server》performance_tester.py | 执行 `python performance_tester.py` | 测试ASR(语音识别)、LLM(大模型)、TTS(语音合成)三个核心模块的响应速度 |
+| 模型响应测试工具 | main》xiaozhi-server》performance_tester.py | 执行 `python performance_tester.py` | 测试ASR(语音识别)、LLM(大模型)、VLLM(视觉模型)、TTS(语音合成)三个核心模块的响应速度 |
-| 模型响应测试工具2 | main》xiaozhi-server》performance_tester_vllm.py | 执行 `python performance_tester_vllm.py` | 测试VLLM(视觉模型)的响应速度 |
 
 > 💡 提示：测试模型速度时，只会测试配置了密钥的模型。
 

docs/performance_tester.md

@@ -21,7 +21,7 @@ VLLM:
 
 ASR:
 ```
-4.在main/xiaozhi-server目录下运行performance_text_tool.py: 
+4.在main/xiaozhi-server目录下运行performance_tester.py: 
 ```
 python performance_test_tool.py 
 ```

main/xiaozhi-server/performance_tester.py

@@ -2,17 +2,24 @@ import os
 import importlib.util
 import asyncio
 
-print("使用前请根据doc/performance_texter.md的说明准备配置。")
+print("使用前请根据doc/performance_testerer.md的说明准备配置。")
-def list_performance_text_modules():
+
-    performance_text_dir = os.path.join(os.path.dirname(__file__), "performance_text")
+
+def list_performance_tester_modules():
+    performance_tester_dir = os.path.join(
+        os.path.dirname(__file__), "performance_tester"
+    )
     modules = []
-    for file in os.listdir(performance_text_dir):
+    for file in os.listdir(performance_tester_dir):
         if file.endswith(".py"):
             modules.append(file[:-3])
     return modules
 
+
 async def load_and_execute_module(module_name):
-    module_path = os.path.join(os.path.dirname(__file__), "performance_text", f"{module_name}.py")
+    module_path = os.path.join(
+        os.path.dirname(__file__), "performance_tester", f"{module_name}.py"
+    )
     spec = importlib.util.spec_from_file_location(module_name, module_path)
     module = importlib.util.module_from_spec(spec)
     spec.loader.exec_module(module)
@@ -26,17 +33,21 @@ async def load_and_execute_module(module_name):
     else:
         print(f"模块 {module_name} 中没有找到 main 函数。")
 
+
 def get_module_description(module_name):
-    module_path = os.path.join(os.path.dirname(__file__), "performance_text", f"{module_name}.py")
+    module_path = os.path.join(
+        os.path.dirname(__file__), "performance_tester", f"{module_name}.py"
+    )
     spec = importlib.util.spec_from_file_location(module_name, module_path)
     module = importlib.util.module_from_spec(spec)
     spec.loader.exec_module(module)
     return getattr(module, "description", "暂无描述")
 
+
 def main():
-    modules = list_performance_text_modules()
+    modules = list_performance_tester_modules()
     if not modules:
-        print("performance_text 目录中没有可用的性能测试工具。")
+        print("performance_tester 目录中没有可用的性能测试工具。")
         return
 
     print("可用的性能测试工具：")
@@ -53,5 +64,6 @@ def main():
     except ValueError:
         print("请输入有效的数字。")
 
+
 if __name__ == "__main__":
     main()

main/xiaozhi-server/performance_tester/performance_tester_asr.py

@@ -7,14 +7,17 @@ from typing import Dict
 import aiohttp
 from tabulate import tabulate
 from core.utils.asr import create_instance as create_stt_instance
+from config.settings import load_config
 
 # 设置全局日志级别为WARNING，抑制INFO级别日志
 logging.basicConfig(level=logging.WARNING)
 
 description = "语音识别模型性能测试"
+
+
 class ASRPerformanceTester:
     def __init__(self):
-        self.config = self._load_config_from_data_dir()
+        self.config = load_config()
         self.test_wav_list = self._load_test_wav_files()
         self.results = {"stt": {}}
 
@@ -22,29 +25,6 @@ class ASRPerformanceTester:
         print(f"[DEBUG] 加载的ASR配置: {self.config.get('ASR', {})}")
         print(f"[DEBUG] 音频文件数量: {len(self.test_wav_list)}")
 
-    def _load_config_from_data_dir(self) -> Dict:
-        """从 data 目录加载所有 .config.yaml 文件的配置"""
-        config = {"ASR": {}}
-        data_dir = os.path.join(os.getcwd(), "data")
-        print(f"[DEBUG] 扫描配置文件目录: {data_dir}")
-
-        for root, _, files in os.walk(data_dir):
-            for file in files:
-                if file.endswith(".config.yaml"):
-                    file_path = os.path.join(root, file)
-                    try:
-                        with open(file_path, "r", encoding="utf-8") as f:
-                            import yaml
-                            file_config = yaml.safe_load(f)
-                            # 兼容大小写的 ASR/asr 配置
-                            asr_config = file_config.get("ASR") or file_config.get("asr")
-                            if asr_config:
-                                config["ASR"].update(asr_config)
-                                print(f"[DEBUG] 从 {file_path} 加载 ASR 配置成功")
-                    except Exception as e:
-                        print(f" 加载配置文件 {file_path} 失败: {str(e)}")
-        return config
-
     def _load_test_wav_files(self) -> list:
         """加载测试用的音频文件（添加路径调试）"""
         wav_root = os.path.join(os.getcwd(), "config", "assets")

main/xiaozhi-server/performance_tester/performance_tester_llm.py

@@ -8,14 +8,17 @@ import yaml
 import aiohttp
 from tabulate import tabulate
 from core.utils.llm import create_instance as create_llm_instance
+from config.settings import load_config
 
 # 设置全局日志级别为 WARNING，抑制 INFO 级别日志
 logging.basicConfig(level=logging.WARNING)
 
 description = "大语言模型性能测试"
+
+
 class LLMPerformanceTester:
     def __init__(self):
-        self.config = self._load_config()
+        self.config = load_config()
         self.test_sentences = self.config.get("module_test", {}).get(
             "test_sentences",
             [
@@ -26,24 +29,6 @@ class LLMPerformanceTester:
         )
         self.results = {}
 
-    def _load_config(self) -> Dict:
-        """从 data/.config.yaml 加载配置"""
-        config = {}
-        config_file_path = os.path.join(os.getcwd(), "data", ".config.yaml")
-        print(f"[DEBUG] 加载配置文件: {config_file_path}")
-
-        if not os.path.exists(config_file_path):
-            print(f"[DEBUG] 配置文件 {config_file_path} 不存在")
-            return config
-
-        try:
-            with open(config_file_path, "r", encoding="utf-8") as f:
-                config = yaml.safe_load(f)
-                print(f"[DEBUG] 从 {config_file_path} 加载配置成功")
-        except Exception as e:
-            print(f"加载配置文件 {config_file_path} 失败: {str(e)}")
-        return config
-
     async def _check_ollama_service(self, base_url: str, model_name: str) -> bool:
         """异步检查 Ollama 服务状态"""
         async with aiohttp.ClientSession() as session:

main/xiaozhi-server/performance_tester/performance_tester_tts.py

@@ -8,14 +8,17 @@ from tabulate import tabulate
 
 # 确保从 core.utils.tts 导入 create_tts_instance
 from core.utils.tts import create_instance as create_tts_instance
+from config.settings import load_config
 
 # 设置全局日志级别为 WARNING
 logging.basicConfig(level=logging.WARNING)
 
 description = "非流式语音合成性能测试"
+
+
 class TTSPerformanceTester:
     def __init__(self):
-        self.config = self._load_config_from_data_dir()
+        self.config = load_config()
         self.test_sentences = self.config.get("module_test", {}).get(
             "test_sentences",
             [
@@ -26,27 +29,6 @@ class TTSPerformanceTester:
         )
         self.results = {}
 
-    def _load_config_from_data_dir(self) -> Dict:
-        """从 data 目录加载所有 .config.yaml 文件的配置"""
-        config = {"TTS": {}}
-        data_dir = os.path.join(os.getcwd(), "data")
-        print(f"[DEBUG] 扫描配置文件目录: {data_dir}")
-
-        for root, _, files in os.walk(data_dir):
-            for file in files:
-                if file.endswith(".config.yaml"):
-                    file_path = os.path.join(root, file)
-                    try:
-                        with open(file_path, "r", encoding="utf-8") as f:
-                            file_config = yaml.safe_load(f)
-                            tts_config = file_config.get("TTS")
-                            if tts_config:
-                                config["TTS"].update(tts_config)
-                                print(f"[DEBUG] 从 {file_path} 加载 TTS 配置成功")
-                    except Exception as e:
-                        print(f"加载配置文件 {file_path} 失败: {str(e)}")
-        return config
-
     async def _test_tts(self, tts_name: str, config: Dict) -> Dict:
         """测试单个TTS模块的性能"""
         try:
@@ -107,19 +89,19 @@ class TTSPerformanceTester:
         table = []
         for name, data in self.results.items():
             if data["errors"] == 0:
-                table.append([
+                table.append(
-                    name,
+                    [name, f"{data['avg_time']:.3f}秒/句", len(self.test_sentences[:3])]
-                    f"{data['avg_time']:.3f}秒/句",
+                )
-                    len(self.test_sentences[:3])
-                ])
 
         print("\nTTS性能测试结果:")
-        print(tabulate(
+        print(
-            table,
+            tabulate(
-            headers=["TTS模块", "平均耗时", "测试句子数"],
+                table,
-            tablefmt="github",
+                headers=["TTS模块", "平均耗时", "测试句子数"],
-            colalign=("left", "right", "right")
+                tablefmt="github",
-        ))
+                colalign=("left", "right", "right"),
+            )
+        )
 
     async def run(self):
         """执行测试"""
@@ -145,11 +127,13 @@ class TTSPerformanceTester:
         # 打印结果
         self._print_results()
 
-#为了performance_tester.py的调用需求
+
+# 为了performance_tester.py的调用需求
 async def main():
     tester = TTSPerformanceTester()
     await tester.run()
 
+
 if __name__ == "__main__":
     tester = TTSPerformanceTester()
     asyncio.run(tester.run())

main/xiaozhi-server/performance_tester/performance_tester_vllm.py

@@ -3,24 +3,20 @@ import asyncio
 import logging
 import statistics
 import base64
-import yaml  
 from typing import Dict
 from tabulate import tabulate
 from core.utils.vllm import create_instance
+from config.settings import load_config
 
 # 设置全局日志级别为WARNING，抑制INFO级别日志
 logging.basicConfig(level=logging.WARNING)
 
 description = "视觉识别模型性能测试"
+
+
 class AsyncVisionPerformanceTester:
     def __init__(self):
-        # 从data/.config.yaml读取配置
+        self.config = load_config()
-        config_path = os.path.join("data", ".config.yaml")
-        if not os.path.exists(config_path):
-            raise FileNotFoundError(f"配置文件 {config_path} 不存在")
-
-        with open(config_path, "r", encoding="utf-8") as f:
-            self.config = yaml.safe_load(f) or {}
 
         self.test_images = [
             "../../docs/images/demo1.png",

main/xiaozhi-server/performance_text/performance_tester.py

@@ -1,651 +0,0 @@
-import asyncio
-import logging
-import os
-import statistics
-import time
-from typing import Dict
-import yaml  
-
-import aiohttp
-from tabulate import tabulate
-
-from core.utils.asr import create_instance as create_stt_instance
-from core.utils.llm import create_instance as create_llm_instance
-from core.utils.tts import create_instance as create_tts_instance
-
-# 设置全局日志级别为WARNING，抑制INFO级别日志
-logging.basicConfig(level=logging.WARNING)
-description = "基础性能测试工具"
-
-class AsyncPerformanceTester:
-    def __init__(self):
-        # 从data/.config.yaml读取配置
-        config_path = os.path.join("data", ".config.yaml")
-        if not os.path.exists(config_path):
-            raise FileNotFoundError(f"配置文件 {config_path} 不存在")
-
-        with open(config_path, "r", encoding="utf-8") as f:
-            self.config = yaml.safe_load(f) or {}
-
-        self.test_sentences = self.config.get("module_test", {}).get(
-            "test_sentences",
-            [
-                "你好，请介绍一下你自己",
-                "What's the weather like today?",
-                "请用100字概括量子计算的基本原理和应用前景",
-            ],
-        )
-
-        self.test_wav_list = []
-        self.wav_root = r"config/assets"
-        for file_name in os.listdir(self.wav_root):
-            file_path = os.path.join(self.wav_root, file_name)
-            # 检查文件大小是否大于300KB
-            if os.path.getsize(file_path) > 300 * 1024:  # 300KB = 300 * 1024 bytes
-                with open(file_path, "rb") as f:
-                    self.test_wav_list.append(f.read())
-
-        self.results = {"llm": {}, "tts": {}, "stt": {}, "combinations": []}
-
-    async def _check_ollama_service(self, base_url: str, model_name: str) -> bool:
-        """异步检查Ollama服务状态"""
-        async with aiohttp.ClientSession() as session:
-            try:
-                # 检查服务是否可用
-                async with session.get(f"{base_url}/api/version") as response:
-                    if response.status != 200:
-                        print(f"🚫 Ollama服务未启动或无法访问: {base_url}")
-                        return False
-
-                # 检查模型是否存在
-                async with session.get(f"{base_url}/api/tags") as response:
-                    if response.status == 200:
-                        data = await response.json()
-                        models = data.get("models", [])
-                        if not any(model["name"] == model_name for model in models):
-                            print(
-                                f"🚫 Ollama模型 {model_name} 未找到，请先使用 ollama pull {model_name} 下载"
-                            )
-                            return False
-                    else:
-                        print(f"🚫 无法获取Ollama模型列表")
-                        return False
-                return True
-            except Exception as e:
-                print(f"🚫 无法连接到Ollama服务: {str(e)}")
-                return False
-
-    async def _test_tts(self, tts_name: str, config: Dict) -> Dict:
-        """异步测试单个TTS性能"""
-        try:
-            logging.getLogger("core.providers.tts.base").setLevel(logging.WARNING)
-
-            token_fields = ["access_token", "api_key", "token"]
-            if any(
-                field in config
-                and any(x in config[field] for x in ["你的", "placeholder"])
-                for field in token_fields
-            ):
-                print(f"⏭️  TTS {tts_name} 未配置access_token/api_key，已跳过")
-                return {"name": tts_name, "type": "tts", "errors": 1}
-
-            module_type = config.get("type", tts_name)
-            tts = create_tts_instance(module_type, config, delete_audio_file=True)
-
-            print(f"🎵 测试 TTS: {tts_name}")
-
-            tmp_file = tts.generate_filename()
-            await tts.text_to_speak("连接测试", tmp_file)
-
-            if not tmp_file or not os.path.exists(tmp_file):
-                print(f"❌ {tts_name} 连接失败")
-                return {"name": tts_name, "type": "tts", "errors": 1}
-
-            total_time = 0
-            test_count = len(self.test_sentences[:2])
-
-            for i, sentence in enumerate(self.test_sentences[:2], 1):
-                start = time.time()
-                tmp_file = tts.generate_filename()
-                await tts.text_to_speak(sentence, tmp_file)
-                duration = time.time() - start
-                total_time += duration
-
-                if tmp_file and os.path.exists(tmp_file):
-                    print(f"✓ {tts_name} [{i}/{test_count}]")
-                else:
-                    print(f"✗ {tts_name} [{i}/{test_count}]")
-                    return {"name": tts_name, "type": "tts", "errors": 1}
-
-            return {
-                "name": tts_name,
-                "type": "tts",
-                "avg_time": total_time / test_count,
-                "errors": 0,
-            }
-
-        except Exception as e:
-            print(f"⚠️ {tts_name} 测试失败: {str(e)}")
-            return {"name": tts_name, "type": "tts", "errors": 1}
-
-    async def _test_stt(self, stt_name: str, config: Dict) -> Dict:
-        """异步测试单个STT性能"""
-        try:
-            logging.getLogger("core.providers.asr.base").setLevel(logging.WARNING)
-            token_fields = ["access_token", "api_key", "token"]
-            if any(
-                field in config
-                and any(x in config[field] for x in ["你的", "placeholder"])
-                for field in token_fields
-            ):
-                print(f"⏭️  STT {stt_name} 未配置access_token/api_key，已跳过")
-                return {"name": stt_name, "type": "stt", "errors": 1}
-
-            module_type = config.get("type", stt_name)
-            stt = create_stt_instance(module_type, config, delete_audio_file=True)
-            stt.audio_format = "pcm"
-
-            print(f"🎵 测试 STT: {stt_name}")
-
-            text, _ = await stt.speech_to_text(
-                [self.test_wav_list[0]], "1", stt.audio_format
-            )
-
-            if text is None:
-                print(f"❌ {stt_name} 连接失败")
-                return {"name": stt_name, "type": "stt", "errors": 1}
-
-            total_time = 0
-            test_count = len(self.test_wav_list)
-
-            for i, sentence in enumerate(self.test_wav_list, 1):
-                start = time.time()
-                text, _ = await stt.speech_to_text([sentence], "1", stt.audio_format)
-                duration = time.time() - start
-                total_time += duration
-
-                if text:
-                    print(f"✓ {stt_name} [{i}/{test_count}]")
-                else:
-                    print(f"✗ {stt_name} [{i}/{test_count}]")
-                    return {"name": stt_name, "type": "stt", "errors": 1}
-
-            return {
-                "name": stt_name,
-                "type": "stt",
-                "avg_time": total_time / test_count,
-                "errors": 0,
-            }
-
-        except Exception as e:
-            print(f"⚠️ {stt_name} 测试失败: {str(e)}")
-            return {"name": stt_name, "type": "stt", "errors": 1}
-
-    async def _test_llm(self, llm_name: str, config: Dict) -> Dict:
-        """异步测试单个LLM性能"""
-        try:
-            # 对于Ollama，跳过api_key检查并进行特殊处理
-            if llm_name == "Ollama":
-                base_url = config.get("base_url", "http://localhost:11434")
-                model_name = config.get("model_name")
-                if not model_name:
-                    print(f"🚫 Ollama未配置model_name")
-                    return {"name": llm_name, "type": "llm", "errors": 1}
-
-                if not await self._check_ollama_service(base_url, model_name):
-                    return {"name": llm_name, "type": "llm", "errors": 1}
-            else:
-                if "api_key" in config and any(
-                    x in config["api_key"] for x in ["你的", "placeholder", "sk-xxx"]
-                ):
-                    print(f"🚫 跳过未配置的LLM: {llm_name}")
-                    return {"name": llm_name, "type": "llm", "errors": 1}
-
-            # 获取实际类型（兼容旧配置）
-            module_type = config.get("type", llm_name)
-            llm = create_llm_instance(module_type, config)
-
-            # 统一使用UTF-8编码
-            test_sentences = [
-                s.encode("utf-8").decode("utf-8") for s in self.test_sentences
-            ]
-
-            # 创建所有句子的测试任务
-            sentence_tasks = []
-            for sentence in test_sentences:
-                sentence_tasks.append(
-                    self._test_single_sentence(llm_name, llm, sentence)
-                )
-
-            # 并发执行所有句子测试
-            sentence_results = await asyncio.gather(*sentence_tasks)
-
-            # 处理结果
-            valid_results = [r for r in sentence_results if r is not None]
-            if not valid_results:
-                print(f"⚠️  {llm_name} 无有效数据，可能配置错误")
-                return {"name": llm_name, "type": "llm", "errors": 1}
-
-            first_token_times = [r["first_token_time"] for r in valid_results]
-            response_times = [r["response_time"] for r in valid_results]
-
-            # 过滤异常数据
-            mean = statistics.mean(response_times)
-            stdev = statistics.stdev(response_times) if len(response_times) > 1 else 0
-            filtered_times = [t for t in response_times if t <= mean + 3 * stdev]
-
-            if len(filtered_times) < len(test_sentences) * 0.5:
-                print(f"⚠️  {llm_name} 有效数据不足，可能网络不稳定")
-                return {"name": llm_name, "type": "llm", "errors": 1}
-
-            return {
-                "name": llm_name,
-                "type": "llm",
-                "avg_response": sum(response_times) / len(response_times),
-                "avg_first_token": sum(first_token_times) / len(first_token_times),
-                "std_first_token": (
-                    statistics.stdev(first_token_times)
-                    if len(first_token_times) > 1
-                    else 0
-                ),
-                "std_response": (
-                    statistics.stdev(response_times) if len(response_times) > 1 else 0
-                ),
-                "errors": 0,
-            }
-        except Exception as e:
-            print(f"LLM {llm_name} 测试失败: {str(e)}")
-            return {"name": llm_name, "type": "llm", "errors": 1}
-
-    async def _test_single_sentence(self, llm_name: str, llm, sentence: str) -> Dict:
-        """测试单个句子的性能"""
-        try:
-            print(f"📝 {llm_name} 开始测试: {sentence[:20]}...")
-            sentence_start = time.time()
-            first_token_received = False
-            first_token_time = None
-
-            async def process_response():
-                nonlocal first_token_received, first_token_time
-                for chunk in llm.response(
-                    "perf_test", [{"role": "user", "content": sentence}]
-                ):
-                    if not first_token_received and chunk.strip() != "":
-                        first_token_time = time.time() - sentence_start
-                        first_token_received = True
-                        print(f"✓ {llm_name} 首个Token: {first_token_time:.3f}s")
-                    yield chunk
-
-            response_chunks = []
-            async for chunk in process_response():
-                response_chunks.append(chunk)
-
-            response_time = time.time() - sentence_start
-            print(f"✓ {llm_name} 完成响应: {response_time:.3f}s")
-
-            if first_token_time is None:
-                first_token_time = (
-                    response_time  # 如果没有检测到first token，使用总响应时间
-                )
-
-            return {
-                "name": llm_name,
-                "type": "llm",
-                "first_token_time": first_token_time,
-                "response_time": response_time,
-            }
-        except Exception as e:
-            print(f"⚠️ {llm_name} 句子测试失败: {str(e)}")
-            return None
-
-    def _generate_combinations(self):
-        """生成最佳组合建议"""
-        valid_llms = [
-            k
-            for k, v in self.results["llm"].items()
-            if v["errors"] == 0 and v["avg_first_token"] >= 0.05
-        ]
-        valid_tts = [k for k, v in self.results["tts"].items() if v["errors"] == 0]
-        valid_stt = [k for k, v in self.results["stt"].items() if v["errors"] == 0]
-
-        # 找出基准值
-        min_first_token = (
-            min([self.results["llm"][llm]["avg_first_token"] for llm in valid_llms])
-            if valid_llms
-            else 1
-        )
-        min_tts_time = (
-            min([self.results["tts"][tts]["avg_time"] for tts in valid_tts])
-            if valid_tts
-            else 1
-        )
-        min_stt_time = (
-            min([self.results["stt"][stt]["avg_time"] for stt in valid_stt])
-            if valid_stt
-            else 1
-        )
-
-        for llm in valid_llms:
-            for tts in valid_tts:
-                for stt in valid_stt:
-                    # 计算相对性能分数（越小越好）
-                    llm_score = (
-                        self.results["llm"][llm]["avg_first_token"] / min_first_token
-                    )
-                    tts_score = self.results["tts"][tts]["avg_time"] / min_tts_time
-                    stt_score = self.results["stt"][stt]["avg_time"] / min_stt_time
-
-                    # 计算稳定性分数（标准差/平均值，越小越稳定）
-                    llm_stability = (
-                        self.results["llm"][llm]["std_first_token"]
-                        / self.results["llm"][llm]["avg_first_token"]
-                    )
-
-                    # 综合得分（考虑性能和稳定性）
-                    # LLM得分： 性能权重(70%) + 稳定性权重(30%)
-                    llm_final_score = llm_score * 0.7 + llm_stability * 0.3
-
-                    # 总分 = LLM得分(70%) + TTS得分(30%) + STT得分(30%)
-                    total_score = (
-                        llm_final_score * 0.7 + tts_score * 0.3 + stt_score * 0.3
-                    )
-
-                    self.results["combinations"].append(
-                        {
-                            "llm": llm,
-                            "tts": tts,
-                            "stt": stt,
-                            "score": total_score,
-                            "details": {
-                                "llm_first_token": self.results["llm"][llm][
-                                    "avg_first_token"
-                                ],
-                                "llm_stability": llm_stability,
-                                "tts_time": self.results["tts"][tts]["avg_time"],
-                                "stt_time": self.results["stt"][stt]["avg_time"],
-                            },
-                        }
-                    )
-
-        # 分数越小越好
-        self.results["combinations"].sort(key=lambda x: x["score"])
-
-    def _print_results(self):
-        """打印测试结果"""
-        llm_table = []
-        for name, data in self.results["llm"].items():
-            if data["errors"] == 0:
-                stability = data["std_first_token"] / data["avg_first_token"]
-                llm_table.append(
-                    [
-                        name,  # 不需要固定宽度，让tabulate自己处理对齐
-                        f"{data['avg_first_token']:.3f}秒",
-                        f"{data['avg_response']:.3f}秒",
-                        f"{stability:.3f}",
-                    ]
-                )
-
-        if llm_table:
-            print("\nLLM 性能排行:\n")
-            print(
-                tabulate(
-                    llm_table,
-                    headers=["模型名称", "首字耗时", "总耗时", "稳定性"],
-                    tablefmt="github",
-                    colalign=("left", "right", "right", "right"),
-                    disable_numparse=True,
-                )
-            )
-        else:
-            print("\n⚠️ 没有可用的LLM模块进行测试。")
-
-        tts_table = []
-        for name, data in self.results["tts"].items():
-            if data["errors"] == 0:
-                tts_table.append([name, f"{data['avg_time']:.3f}秒"])  # 不需要固定宽度
-
-        if tts_table:
-            print("\nTTS 性能排行:\n")
-            print(
-                tabulate(
-                    tts_table,
-                    headers=["模型名称", "合成耗时"],
-                    tablefmt="github",
-                    colalign=("left", "right"),
-                    disable_numparse=True,
-                )
-            )
-        else:
-            print("\n⚠️ 没有可用的TTS模块进行测试。")
-
-        stt_table = []
-        for name, data in self.results["stt"].items():
-            if data["errors"] == 0:
-                stt_table.append([name, f"{data['avg_time']:.3f}秒"])  # 不需要固定宽度
-
-        if stt_table:
-            print("\nSTT 性能排行:\n")
-            print(
-                tabulate(
-                    stt_table,
-                    headers=["模型名称", "合成耗时"],
-                    tablefmt="github",
-                    colalign=("left", "right"),
-                    disable_numparse=True,
-                )
-            )
-        else:
-            print("\n⚠️ 没有可用的STT模块进行测试。")
-
-        if self.results["combinations"]:
-            print("\n推荐配置组合 (得分越小越好):\n")
-            combo_table = []
-            for combo in self.results["combinations"][:]:
-                combo_table.append(
-                    [
-                        f"{combo['llm']} + {combo['tts']} + {combo['stt']}",  # 不需要固定宽度
-                        f"{combo['score']:.3f}",
-                        f"{combo['details']['llm_first_token']:.3f}秒",
-                        f"{combo['details']['llm_stability']:.3f}",
-                        f"{combo['details']['tts_time']:.3f}秒",
-                        f"{combo['details']['stt_time']:.3f}秒",
-                    ]
-                )
-
-            print(
-                tabulate(
-                    combo_table,
-                    headers=[
-                        "组合方案",
-                        "综合得分",
-                        "LLM首字耗时",
-                        "稳定性",
-                        "TTS合成耗时",
-                        "STT合成耗时",
-                    ],
-                    tablefmt="github",
-                    colalign=("left", "right", "right", "right", "right", "right"),
-                    disable_numparse=True,
-                )
-            )
-        else:
-            print("\n⚠️ 没有可用的模块组合建议。")
-
-    def _process_results(self, all_results):
-        """处理测试结果"""
-        for result in all_results:
-            if result["errors"] == 0:
-                if result["type"] == "llm":
-                    self.results["llm"][result["name"]] = result
-                elif result["type"] == "tts":
-                    self.results["tts"][result["name"]] = result
-                elif result["type"] == "stt":
-                    self.results["stt"][result["name"]] = result
-                else:
-                    pass
-
-    async def run(self):
-        """执行全量异步测试"""
-        print("🔍 开始筛选可用模块...")
-
-        # 创建所有测试任务
-        all_tasks = []
-
-        # LLM测试任务
-        if self.config.get("LLM") is not None:
-            for llm_name, config in self.config.get("LLM", {}).items():
-                # 检查配置有效性
-                if llm_name == "CozeLLM":
-                    if any(x in config.get("bot_id", "") for x in ["你的"]) or any(
-                        x in config.get("user_id", "") for x in ["你的"]
-                    ):
-                        print(f"⏭️  LLM {llm_name} 未配置bot_id/user_id，已跳过")
-                        continue
-                elif "api_key" in config and any(
-                    x in config["api_key"] for x in ["你的", "placeholder", "sk-xxx"]
-                ):
-                    print(f"⏭️  LLM {llm_name} 未配置api_key，已跳过")
-                    continue
-
-                # 对于Ollama，先检查服务状态
-                if llm_name == "Ollama":
-                    base_url = config.get("base_url", "http://localhost:11434")
-                    model_name = config.get("model_name")
-                    if not model_name:
-                        print(f"🚫 Ollama未配置model_name")
-                        continue
-
-                    if not await self._check_ollama_service(base_url, model_name):
-                        continue
-
-                print(f"📋 添加LLM测试任务: {llm_name}")
-                module_type = config.get("type", llm_name)
-                llm = create_llm_instance(module_type, config)
-
-                # 为每个句子创建独立任务
-                for sentence in self.test_sentences:
-                    sentence = sentence.encode("utf-8").decode("utf-8")
-                    all_tasks.append(
-                        self._test_single_sentence(llm_name, llm, sentence)
-                    )
-
-        # TTS测试任务
-        if self.config.get("TTS") is not None:
-            for tts_name, config in self.config.get("TTS", {}).items():
-                token_fields = ["access_token", "api_key", "token"]
-                if any(
-                    field in config
-                    and any(x in config[field] for x in ["你的", "placeholder"])
-                    for field in token_fields
-                ):
-                    print(f"⏭️  TTS {tts_name} 未配置access_token/api_key，已跳过")
-                    continue
-                print(f"🎵 添加TTS测试任务: {tts_name}")
-                all_tasks.append(self._test_tts(tts_name, config))
-
-        # STT测试任务
-        if len(self.test_wav_list) >= 1:
-            if self.config.get("ASR") is not None:
-                for stt_name, config in self.config.get("ASR", {}).items():
-                    token_fields = ["access_token", "api_key", "token"]
-                    if any(
-                        field in config
-                        and any(x in config[field] for x in ["你的", "placeholder"])
-                        for field in token_fields
-                    ):
-                        print(f"⏭️  ASR {stt_name} 未配置access_token/api_key，已跳过")
-                        continue
-                    print(f"🎵 添加ASR测试任务: {stt_name}")
-                    all_tasks.append(self._test_stt(stt_name, config))
-        else:
-            print(f"\n⚠️  {self.wav_root} 路径下没有音频文件，已跳过STT测试任务")
-
-        print(
-            f"\n✅ 找到 {len([t for t in all_tasks if 'test_single_sentence' in str(t)]) / len(self.test_sentences):.0f} 个可用LLM模块"
-        )
-        print(
-            f"✅ 找到 {len([t for t in all_tasks if '_test_tts' in str(t)])} 个可用TTS模块"
-        )
-        print(
-            f"✅ 找到 {len([t for t in all_tasks if '_test_stt' in str(t)])} 个可用STT模块"
-        )
-        print("\n⏳ 开始并发测试所有模块...\n")
-
-        # 并发执行所有测试任务
-        all_results = await asyncio.gather(*all_tasks, return_exceptions=True)
-
-        # 处理LLM结果
-        llm_results = {}
-        for result in [
-            r
-            for r in all_results
-            if r and isinstance(r, dict) and r.get("type") == "llm"
-        ]:
-            llm_name = result["name"]
-            if llm_name not in llm_results:
-                llm_results[llm_name] = {
-                    "name": llm_name,
-                    "type": "llm",
-                    "first_token_times": [],
-                    "response_times": [],
-                    "errors": 0,
-                }
-            llm_results[llm_name]["first_token_times"].append(
-                result["first_token_time"]
-            )
-            llm_results[llm_name]["response_times"].append(result["response_time"])
-
-        # 计算LLM平均值和标准差
-        for llm_name, data in llm_results.items():
-            if len(data["first_token_times"]) >= len(self.test_sentences) * 0.5:
-                self.results["llm"][llm_name] = {
-                    "name": llm_name,
-                    "type": "llm",
-                    "avg_response": sum(data["response_times"])
-                    / len(data["response_times"]),
-                    "avg_first_token": sum(data["first_token_times"])
-                    / len(data["first_token_times"]),
-                    "std_first_token": (
-                        statistics.stdev(data["first_token_times"])
-                        if len(data["first_token_times"]) > 1
-                        else 0
-                    ),
-                    "std_response": (
-                        statistics.stdev(data["response_times"])
-                        if len(data["response_times"]) > 1
-                        else 0
-                    ),
-                    "errors": 0,
-                }
-
-        # 处理TTS结果
-        for result in [
-            r
-            for r in all_results
-            if r and isinstance(r, dict) and r.get("type") == "tts"
-        ]:
-            if result["errors"] == 0:
-                self.results["tts"][result["name"]] = result
-
-        # 处理STT结果
-        for result in [
-            r
-            for r in all_results
-            if r and isinstance(r, dict) and r.get("type") == "stt"
-        ]:
-            if result["errors"] == 0:
-                self.results["stt"][result["name"]] = result
-
-        # 生成组合建议并打印结果
-        print("\n📊 生成测试报告...")
-        self._generate_combinations()
-        self._print_results()
-
-
-async def main():
-    tester = AsyncPerformanceTester()
-    await tester.run()
-
-
-if __name__ == "__main__":
-    asyncio.run(main())