extract_douyin_text

Instructions

从抖音分享链接提取视频中的文本内容

参数:
- share_link: 抖音分享链接或包含链接的文本
- model: 语音识别模型（可选，默认使用paraformer-v2）

返回:
- 提取的文本内容

注意: 需要设置环境变量 DASHSCOPE_API_KEY

Implementation Reference

• douyin_mcp_server/server.py:229-269 (handler)

  Main handler function decorated with @mcp.tool() that orchestrates parsing the share link and extracting text from the video using DouyinProcessor class methods.

  @mcp.tool()
  async def extract_douyin_text(
      share_link: str,
      model: Optional[str] = None,
      ctx: Context = None
  ) -> str:
      """
      从抖音分享链接提取视频中的文本内容
      
      参数:
      - share_link: 抖音分享链接或包含链接的文本
      - model: 语音识别模型（可选，默认使用paraformer-v2）
      
      返回:
      - 提取的文本内容
      
      注意: 需要设置环境变量 DASHSCOPE_API_KEY
      """
      try:
          # 从环境变量获取API密钥
          api_key = os.getenv('DASHSCOPE_API_KEY')
          if not api_key:
              raise ValueError("未设置环境变量 DASHSCOPE_API_KEY，请在配置中添加阿里云百炼API密钥")
          
          processor = DouyinProcessor(api_key, model)
          
          # 解析视频链接
          ctx.info("正在解析抖音分享链接...")
          video_info = processor.parse_share_url(share_link)
          
          # 直接使用视频URL进行文本提取
          ctx.info("正在从视频中提取文本...")
          text_content = processor.extract_text_from_video_url(video_info['url'])
          
          ctx.info("文本提取完成!")
          return text_content
          
      except Exception as e:
          ctx.error(f"处理过程中出现错误: {str(e)}")
          raise Exception(f"提取抖音视频文本失败: {str(e)}")

• douyin_mcp_server/server.py:59-110 (helper)

  Helper method in DouyinProcessor class that parses Douyin share URL/text to extract no-watermark video URL, title, and ID by scraping the page and parsing JSON data.

  def parse_share_url(self, share_text: str) -> dict:
      """从分享文本中提取无水印视频链接"""
      # 提取分享链接
      urls = re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', share_text)
      if not urls:
          raise ValueError("未找到有效的分享链接")
      
      share_url = urls[0]
      share_response = requests.get(share_url, headers=HEADERS)
      video_id = share_response.url.split("?")[0].strip("/").split("/")[-1]
      share_url = f'https://www.iesdouyin.com/share/video/{video_id}'
      
      # 获取视频页面内容
      response = requests.get(share_url, headers=HEADERS)
      response.raise_for_status()
      
      pattern = re.compile(
          pattern=r"window\._ROUTER_DATA\s*=\s*(.*?)</script>",
          flags=re.DOTALL,
      )
      find_res = pattern.search(response.text)
  
      if not find_res or not find_res.group(1):
          raise ValueError("从HTML中解析视频信息失败")
  
      # 解析JSON数据
      json_data = json.loads(find_res.group(1).strip())
      VIDEO_ID_PAGE_KEY = "video_(id)/page"
      NOTE_ID_PAGE_KEY = "note_(id)/page"
      
      if VIDEO_ID_PAGE_KEY in json_data["loaderData"]:
          original_video_info = json_data["loaderData"][VIDEO_ID_PAGE_KEY]["videoInfoRes"]
      elif NOTE_ID_PAGE_KEY in json_data["loaderData"]:
          original_video_info = json_data["loaderData"][NOTE_ID_PAGE_KEY]["videoInfoRes"]
      else:
          raise Exception("无法从JSON中解析视频或图集信息")
  
      data = original_video_info["item_list"][0]
  
      # 获取视频信息
      video_url = data["video"]["play_addr"]["url_list"][0].replace("playwm", "play")
      desc = data.get("desc", "").strip() or f"douyin_{video_id}"
      
      # 替换文件名中的非法字符
      desc = re.sub(r'[\\/:*?"<>|]', '_', desc)
      
      return {
          "url": video_url,
          "title": desc,
          "video_id": video_id
      }

• douyin_mcp_server/server.py:153-190 (helper)

  Helper method in DouyinProcessor that performs speech-to-text extraction directly from the video URL using Dashscope (Aliyun) ASR Transcription API.

  def extract_text_from_video_url(self, video_url: str) -> str:
      """从视频URL中提取文字（使用阿里云百炼API）"""
      try:
          # 发起异步转录任务
          task_response = dashscope.audio.asr.Transcription.async_call(
              model=self.model,
              file_urls=[video_url],
              language_hints=['zh', 'en']
          )
          
          # 等待转录完成
          transcription_response = dashscope.audio.asr.Transcription.wait(
              task=task_response.output.task_id
          )
          
          if transcription_response.status_code == HTTPStatus.OK:
              # 获取转录结果
              for transcription in transcription_response.output['results']:
                  url = transcription['transcription_url']
                  result = json.loads(request.urlopen(url).read().decode('utf8'))
                  
                  # 保存结果到临时文件
                  temp_json_path = self.temp_dir / 'transcription.json'
                  with open(temp_json_path, 'w') as f:
                      json.dump(result, f, indent=4, ensure_ascii=False)
                  
                  # 提取文本内容
                  if 'transcripts' in result and len(result['transcripts']) > 0:
                      return result['transcripts'][0]['text']
                  else:
                      return "未识别到文本内容"
                      
          else:
              raise Exception(f"转录失败: {transcription_response.output.message}")
              
      except Exception as e:
          raise Exception(f"提取文字时出错: {str(e)}")