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