微信小程序Java登录流程

一、登录流程图

二、微信小程序端

doLogin:function(callback = () =>{}){
let that = this;
wx.login({
  success:function(loginRes){
    if(loginRes){
      //获取用户信息
      wx.getUserInfo({
        withCredentials:true,//非必填  默认为true
        success:function(infoRes){
          console.log(infoRes,'>>>');
          //请求服务端的登录接口
          wx.request({
            url: api.loginUrl,
            data:{
              code:loginRes.code,//临时登录凭证
              rawData:infoRes.rawData,//用户非敏感信息
              signature:infoRes.signature,//签名
              encrypteData:infoRes.encryptedData,//用户敏感信息
              iv:infoRes.iv//解密算法的向量
            },
            success:function(res){
              console.log('login success');
              res = res.data;
              if(res.result==0){
                that.globalData.userInfo = res.userInfo;
                wx.setStorageSync('userInfo',JSON.stringify(res.userInfo));
                wx.setStorageSync('loginFlag',res.skey);
                console.log("skey="+res.skey);
                callback();
              }else{
                that.showInfo('res.errmsg');
              }
            },
            fail:function(error){
              //调用服务端登录接口失败
             // that.showInfo('调用接口失败');
              console.log(error);
            }
          });
        }
      });
    }else{

    }
  }
});
}

微信小程序端发起登录请求,携带的参数主要有:

    code:loginRes.code,//临时登录凭证
    rawData:infoRes.rawData,//用户非敏感信息
    signature:infoRes.signature,//签名
    encrypteData:infoRes.encryptedData,//用户敏感信息
    iv:infoRes.iv//解密算法的向量

需要的数据主要有:

result、userInfo和skey

result用来判断是否登录成功,userInfo是用户的一些信息,保存在缓存中,不用每次都从后台获取,skey是用户登录态标识,也放在缓存中,如果skey存在就直接登录,维护用户的登录状态,具有时效性

三、Java后台

@ResponseBody
@RequestMapping("/login")
public Map<String,Object> doLogin(Model model,
                                  @RequestParam(value = "code",required = false) String code,
                                  @RequestParam(value = "rawData",required = false) String rawData,
                                  @RequestParam(value = "signature",required = false) String signature,
                                  @RequestParam(value = "encrypteData",required = false) String encrypteData,
                                  @RequestParam(value = "iv",required = false) String iv){
    log.info( "Start get SessionKey" );


    Map<String,Object> map = new HashMap<String, Object>(  );
    System.out.println("用户非敏感信息"+rawData);

    JSONObject rawDataJson = JSON.parseObject( rawData );

    System.out.println("签名"+signature);
    JSONObject SessionKeyOpenId = getSessionKeyOrOpenId( code );
    System.out.println("post请求获取的SessionAndopenId="+SessionKeyOpenId);

    String openid = SessionKeyOpenId.getString("openid" );

    String sessionKey = SessionKeyOpenId.getString( "session_key" );

    System.out.println("openid="+openid+",session_key="+sessionKey);

    User user = userService.findByOpenid( openid );
    //uuid生成唯一key
    String skey = UUID.randomUUID().toString();
    if(user==null){
        //入库
        String nickName = rawDataJson.getString( "nickName" );
        String avatarUrl = rawDataJson.getString( "avatarUrl" );
        String gender  = rawDataJson.getString( "gender" );
        String city = rawDataJson.getString( "city" );
        String country = rawDataJson.getString( "country" );
        String province = rawDataJson.getString( "province" );


        user = new User();
        user.setUid( openid );
        user.setCreateTime( new Date(  ) );
        user.setSessionkey( sessionKey );
        user.setUbalance( 0 );
        user.setSkey( skey );
        user.setUaddress( country+" "+province+" "+city );
        user.setUavatar( avatarUrl );
        user.setUgender( Integer.parseInt( gender ) );
        user.setUname( nickName );
        user.setUpdateTime( new Date(  ) );

        userService.insert( user );
    }else {
        //已存在
        log.info( "用户openid已存在,不需要插入" );
    }
    //根据openid查询skey是否存在
    String skey_redis = (String) redisTemplate.opsForValue().get( openid );
    if(StringUtils.isNotBlank( skey_redis )){
        //存在 删除 skey 重新生成skey 将skey返回
        redisTemplate.delete( skey_redis );

    }
        //  缓存一份新的
        JSONObject sessionObj = new JSONObject(  );
        sessionObj.put( "openId",openid );
        sessionObj.put( "sessionKey",sessionKey );
        redisTemplate.opsForValue().set( skey,sessionObj.toJSONString() );
        redisTemplate.opsForValue().set( openid,skey );

        //把新的sessionKey和oppenid返回给小程序
        map.put( "skey",skey );



    map.put( "result","0" );



    JSONObject userInfo = getUserInfo( encrypteData, sessionKey, iv );
    System.out.println("根据解密算法获取的userInfo="+userInfo);
    userInfo.put( "balance",user.getUbalance() );
    map.put( "userInfo",userInfo );

    return map;
}

获取openid和sessionKey方法

public static JSONObject getSessionKeyOrOpenId(String code){
    //微信端登录code
    String wxCode = code;
    String requestUrl = "https://api.weixin.qq.com/sns/jscode2session";
    Map<String,String> requestUrlParam = new HashMap<String, String>(  );
    requestUrlParam.put( "appid","你的小程序appId" );//小程序appId
    requestUrlParam.put( "secret","你的小程序appSecret" );
    requestUrlParam.put( "js_code",wxCode );//小程序端返回的code
    requestUrlParam.put( "grant_type","authorization_code" );//默认参数

    //发送post请求读取调用微信接口获取openid用户唯一标识
    JSONObject jsonObject = JSON.parseObject( UrlUtil.sendPost( requestUrl,requestUrlParam ));
    return jsonObject;
}

解密用户敏感数据获取用户信息

public static JSONObject getUserInfo(String encryptedData,String sessionKey,String iv){
    // 被加密的数据
    byte[] dataByte = Base64.decode(encryptedData);
    // 加密秘钥
    byte[] keyByte = Base64.decode(sessionKey);
    // 偏移量
    byte[] ivByte = Base64.decode(iv);
    try {
        // 如果密钥不足16位,那么就补足.  这个if 中的内容很重要
        int base = 16;
        if (keyByte.length % base != 0) {
            int groups = keyByte.length / base + (keyByte.length % base != 0 ? 1 : 0);
            byte[] temp = new byte[groups * base];
            Arrays.fill(temp, (byte) 0);
            System.arraycopy(keyByte, 0, temp, 0, keyByte.length);
            keyByte = temp;
        }
        // 初始化
        Security.addProvider(new BouncyCastleProvider());
        Cipher cipher = Cipher.getInstance("AES/CBC/PKCS7Padding","BC");
        SecretKeySpec spec = new SecretKeySpec(keyByte, "AES");
        AlgorithmParameters parameters = AlgorithmParameters.getInstance("AES");
        parameters.init(new IvParameterSpec(ivByte));
        cipher.init( Cipher.DECRYPT_MODE, spec, parameters);// 初始化
        byte[] resultByte = cipher.doFinal(dataByte);
        if (null != resultByte && resultByte.length > 0) {
            String result = new String(resultByte, "UTF-8");
            return JSON.parseObject(result);
        }
    } catch (NoSuchAlgorithmException e) {
        log.error(e.getMessage(), e);
    } catch (NoSuchPaddingException e) {
        log.error(e.getMessage(), e);
    } catch (InvalidParameterSpecException e) {
        log.error(e.getMessage(), e);
    } catch (IllegalBlockSizeException e) {
        log.error(e.getMessage(), e);
    } catch (BadPaddingException e) {
        log.error(e.getMessage(), e);
    } catch (UnsupportedEncodingException e) {
        log.error(e.getMessage(), e);
    } catch (InvalidKeyException e) {
        log.error(e.getMessage(), e);
    } catch (InvalidAlgorithmParameterException e) {
        log.error(e.getMessage(), e);
    } catch (NoSuchProviderException e) {
        log.error(e.getMessage(), e);
    }
    return null;
}

四、流程

1.小程序端发起请求并携带主要参数

2.java后台接到/login请求后,根据code去调用微信接口获取用户唯一标识openid和sessionKey

3.根据openid查询mysql数据库,判断该用户是否存在,如果不存在将用户非敏感信息和其他初始化数据存入到数据库中,如果已存在,不操作

4.根据openid查询redis数据库,判断openid对应的skey是否存在,如果存在则删除原来老的skey以及对应的openid和sessionKey

5.通过uuid生成唯一的skey,用openid做键,skey做值,存入到redis中

6.然后把skey做键,openid和sessionKey的json串做值也重新存入到redis中

7.根据解密算法,参数有encryptedData、sessionKey和iv,获取用户信息userInfo,如果userInfo字段不满足需要,可通过userInfo.put( "balance",user.getUbalance() );添加所需要的字段和值

8.将微信小程序需要的数据封装到map中,返回给小程序端

map.put( "skey",skey );

map.put( "result","0" );

map.put( "userInfo",userInfo ); 

return map;

更多博客内容详见我的博客 Wang's Blog

猜你喜欢

转载自blog.csdn.net/abcwanglinyong/article/details/80267901