code: 500 - {'error': {'message': 'not implemented (request id: 2025112223152495...

2025年11月22日 23:24 状态: processing

🚨 错误信息

500 错误: API服务端内部错误 Error code: 500 - {'error': {'message': 'not implemented (request id: 20251122231524954877756tovBjOmA)', 'type': 'rix_api_error', 'param': '', 'code': 'convert_request_failed'}}: Traceback (most recent call last): File "videotrans\util\TestSTT.py", line 18, in run File "videotrans\recognition\__init__.py", line 208, in run File "videotrans\recognition\_base.py", line 78, in run File "videotrans\recognition\_openairecognapi.py", line 44, in _exec File "videotrans\recognition\_openairecognapi.py", line 99, in _thrid_api File "openai\_utils\_utils.py", line 286, in wrapper File "openai\resources\audio\transcriptions.py", line 406, in create File "openai\_base_client.py", line 1259, in post File "openai\_base_client.py", line 1047, in request openai.InternalServerError: Error code: 500 - {'error': {'message': 'not implemented (request id: 20251122231524954877756tovBjOmA)', 'type': 'rix_api_error', 'param': '', 'code': 'convert_request_failed'}} ===== system:Windows-10-10.0.19045-SP0 version:v3.85 frozen:True language:zh root_dir:C:/Video/win-pyvideotrans-v3.85_20251121_002450

🤖 AI解决方案

错误翻译

原文:not implemented (request id: 20251122231524954877756tovBjOmA)
译文:功能未实现

原因分析

这是一个API服务端内部错误(500错误),核心问题是第三方语音识别API端的功能未实现。错误发生在:

  • 错误位置videotrans\recognition\_openairecognapi.py 第99行的 _thrid_api 方法
  • 根本原因:调用的第三方语音识别API接口返回了"not implemented"错误,表明该API端点尚未完成或不可用

解决方案

方案1:检查API配置

# 检查API密钥和端点配置是否正确
def check_api_config():
    # 验证API密钥有效性
    api_key = config.settings['openai_key']
    if not api_key or api_key == "sk-xxxxxxxx":
        print("请配置有效的API密钥")
        return False
    
    # 检查API端点URL
    api_base = config.settings.get('openai_api', 'https://api.openai.com/v1')
    print(f"当前API端点: {api_base}")
    return True

方案2:使用备用语音识别方案

# 切换到可用的语音识别引擎
def switch_recognition_engine():
    # 方法1:使用本地语音识别(如Vosk)
    from videotrans.recognition import voskrecogn
    
    recognizer = voskrecogn()
    result = recognizer.recognize(audio_file)
    
    # 方法2:使用其他云服务(如Azure、Google Speech)
    # from videotrans.recognition import azurerecogn
    # recognizer = azurerecogn()

方案3:添加错误重试机制

import time
from openai import InternalServerError

def safe_api_call(api_func, max_retries=3):
    for attempt in range(max_retries):
        try:
            return api_func()
        except InternalServerError as e:
            if attempt == max_retries - 1:
                raise e
            print(f"API服务暂时不可用,{2**attempt}秒后重试...")
            time.sleep(2**attempt)

️ 预防措施

1. API可用性检查

在调用关键API前,添加健康检查机制:
def check_api_health():
    # 发送简单的测试请求验证API状态
    try:
        response = requests.get(f"{api_base}/health", timeout=5)
        return response.status_code == 200
    except:
        return False

2. 多引擎备用方案

配置多个语音识别引擎,按优先级自动降级使用:
RECOGNITION_ENGINES = [
    'openai',    # 主引擎
    'azure',     # 备用引擎1
    'google',    # 备用引擎2
    'vosk'       # 本地备用引擎
]

建议:联系API服务提供商确认该功能是否已上线,或查看API文档获取最新的可用端点信息。