loadrunner rtsp协议模拟

在核心网做过3年的sip消息模拟，所以rtsp消息模拟只要知道信令消息交互就非常顺利了

1. RTSP 实时流传输协议, 是TCP/IP协议体系中的一个应用层协议, 该协议定义了一对多应用程序如何有效地通过IP网络传送多媒体数据. RTSP在体系结构上位于RTP和RTCP之上, 它使用TCP或RTP完成数据传输.
2. RTSP信令交互过程

   C表示rtsp客户端, S表示rtsp服务端

       1. C->S:OPTION request //询问S有哪些方法可用
       1. S->C:OPTION response //S回应信息中包括提供的所有可用方法
   
       2. C->S:DESCRIBE request //要求得到S提供的媒体初始化描述信息
       2. S->C:DESCRIBE response //S回应媒体初始化描述信息, 主要是sdp
   
       3. C->S:SETUP request //设置会话的属性, 以及传输模式, 提醒S建立会话
       3. S->C:SETUP response //S建立会话, 返回会话标识符, 以及会话相关信息
   
       4. C->S:PLAY request //C请求播放
       4. S->C:PLAY response //S回应该请求的信息
   
       S->C:发送流媒体数据
   
       5. C->S:TEARDOWN request //C请求关闭会话
       5. S->C:TEARDOWN response //S回应该请求

3. 通过ffmpeg播放视频。

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" alt="" />

　　

　　4.使用wireshark抓包。作为rtsp报文的基准数据。

　  5.使用loadrunner新建win socket action。编辑脚本内容如下：

#include "lrs.h"

Action() { 

    int rc = ;

    rc = lrs_create_socket("socket1", "TCP", "LocalHost=0", "RemoteHost=192.168.1.51:554", LrsLastArg);

    if (rc==)

        lr_output_message("Socket was successfully created ");

    else

        lr_output_message("An error occurred while creating the socket, Error Code: %d", rc);

     lrs_send("socket1", "option", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );

     lrs_receive("socket1", "option200",  LrsLastArg); 

     lrs_send("socket1", "describe", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );

     lrs_receive("socket1", "describe200", LrsLastArg); 

    //setup
     lrs_send("socket1", "setup", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );

     lrs_receive("socket1", "setup200", LrsLastArg);
     lrs_save_param("socket1", NULL, "session", , );
     lr_output_message ("session: %s", lr_eval_string("<<session>>"));
    // lr_save_string("{session}", "session1");
    //play

     lrs_send("socket1", "play", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );
     lrs_receive_ex("socket1", "play200", "NumberOfBytesToRecv=8000", LrsLastArg);
     //lrs_receive("socket1", "play200",  LrsLastArg); 

     //lr_think_time(20);

     //lrs_send("socket1", "pause", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );
     //lrs_receive_ex("socket1", "pause200","NumberOfBytesToRecv=1000", LrsLastArg);

    //teardown
     lrs_send("socket1", "teardown", "TargetSocket=rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0",LrsLastArg  );

     lrs_receive_ex("socket1", "teardown200","NumberOfBytesToRecv=500",  LrsLastArg); 

     lrs_close_socket("socket1"); 

    return ;
}

　　

　　6.编辑工程data.ws文件，写入如下内容（信令消息来源于上一步抓包内容）：

;WSRData  

send option
    "OPTIONS rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0\r\n"
    "CSeq: 1\r\n"
    "User-Agent: Lavf57.51.103\r\n"
    "\r\n"

recv option200
    "RTSP/1.0 200 OK\r\n"
    "CSeq: 1\r\n"
    "Public: OPTIONS, DESCRIBE, SETUP, TEARDOWN, PLAY, PAUSE, GET_PARAMETER, SET_PARAMETER\r\n"

send describe
        "DESCRIBE rtsp://192.168.1.51:554/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj RTSP/1.0\r\n"
        "Accept: application/sdp\r\n"
        "CSeq: 2\r\n"
        "User-Agent: Lavf57.51.103\r\n"
        "\r\n"

recv describe200 

    "RTSP/1.0 200 OK\r\n"
    "CSeq: 2\r\n"
    "Content-Base: rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/\r\n"
    "Content-Type: application/sdp\r\n"

    "v=0\r\n"
    "o=- 1490233027406551 1 IN IP4 192.168.1.51\r\n"
    "s=MPEG Transport Stream, streamed by the LIVE555 Media Server\r\n"
    "i=FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj\r\n"
    "t=0 0\r\n"
    "a=tool:LIVE555 Streaming Media v2016.09.22\r\n"
    "a=type:broadcast\r\n"
    "a=control:*\r\n"
    "a=range:npt=0-\r\n"
    "a=x-qt-text-nam:MPEG Transport Stream, streamed by the LIVE555 Media Server\r\n"
    "a=x-qt-text-inf:FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj\r\n"
    "m=video 0 RTP/AVP 33\r\n"
    "c=IN IP4 0.0.0.0\r\n"
    "b=AS:5000\r\n"
    "a=control:track1\r\n"

send setup
    "SETUP rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/ RTSP/1.0\r\n"
    "Transport: RTP/AVP/TCP;unicast;interleaved=0-1\r\n"
    "CSeq: 3\r\n"
    "User-Agent: Lavf57.51.103\r\n"
    "\r\n"
recv setup200
    "RTSP/1.0 200 OK\r\n"
    "CSeq: 3\r\n"
    "Transport: RTP/AVP/TCP;unicast;destination=0.0.0.0;source=0.0.0.0;interleaved=0-1\r\n"
    "\r\n"

send play
    "PLAY rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/ RTSP/1.0\r\n"
    "Range: npt=0.000-\r\n"
    "CSeq: 4\r\n"
    "User-Agent: Lavf57.51.103\r\n"
    "Session: <session>\r\n"
    "\r\n"

recv play200
    "RTSP/1.0 200 OK\r\n"
    "CSeq: 4\r\n"
    "Range: npt=0.000-\r\n"
    "RTP-Info: url=rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/track1\r\n"
    "\r\n"

send pause
    "PAUSE rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/ RTSP/1.0\r\n"
    "CSeq: 5\r\n"
    "User-Agent: Lavf57.51.103\r\n"
    "Session: <session>\r\n"
    "\r\n"

recv pause200
    "RTSP/1.0 200 OK\r\n"
    "CSeq: 5\r\n"
    "Session: <session>\r\n"
    "\r\n"

send teardown
    "TEARDOWN rtsp://192.168.1.51:10754/FGElMXXgGRd8KKBSmV8JcJUWHQkYiwTfj/ RTSP/1.0\r\n"
    "CSeq: 6\r\n"
    "User-Agent: Lavf57.51.103\r\n"
    "Session: <session>\r\n"
    "\r\n"

recv teardown200
    "RTSP/1.0 200 OK\r\n"
    "CSeq: 6\r\n"
    "Session: <session>\r\n"
    "\r\n"

-

　　7.调试结果

　　也可以在调试的时候，抓包对比之前的抓包。验证消息的正确性