自定义拦截器GET请求POST请求

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原创最新推荐文章于 2026-07-09 16:51:01 发布 3.1k 阅读 AI 写同款· GEO 优化 ›

基于YOLOv10的机器人抓取引导系统：从物体检测到精准抓取 python# 数据标注工具简化版import os"""启动标注工具""""""标注单张图像"""print(f"标注图像: {os.path.basename(img_path)}")print("请在图像上绘制抓取矩形框...")# 这里应该实现交互式标注界面# 简化版本直接返回示例标注# 示例标注数据"""保存标注结果"""# 保存为YOLO格式# 转换为YOLO格式。阅读详情

public class LoggingInterceptor implements Interceptor {
@Override public Response intercept(Chain chain) throws IOException {
    //首先取到Request
    Request request = chain.request();
    Response response = null;
    Request requestProcess = null ;
    if("GET".equals(request.method())){
      String url = request.url().toString() + "&source=android";
      Request.Builder builder = request.newBuilder() ;
      builder.get().url(url);
      requestProcess = builder.build();
      response = chain.proceed(requestProcess);
    } else {
      FormBody.Builder builder = new FormBody.Builder() ;
      RequestBody requestBody = request.body() ;
      if(requestBody instanceof FormBody){
        FormBody formBody = (FormBody)requestBody ;
        for (int i=0;i<formBody.size();i++){
          builder.add(formBody.encodedName(i),formBody.encodedValue(i));
        }
        builder.add("source","android");
      }
       requestProcess = request.newBuilder().url(request.url().toString()).post(builder.build()).build() ;
      response = chain.proceed(requestProcess);
    }
    return response;
}
}