今日指数项目个股周K线功能实现

个股周K线功能实现

1 个股周K线功能实现功能分析

1）个股周K线功能原型分析

2）个股周K线功能接口分析

个股周K线数据主要包含：
股票ID、 一周内最高价、 一周内最低价 、周1开盘价、周5的收盘价、
整周均价、以及一周内最大交易日期（一般是周五所对应日期）

接口要求：

功能描述：统计每周内的股票数据信息，信息包含：
股票ID、 一周内最高价、 一周内最低价 、周1开盘价、周5的收盘价、
整周均价、以及一周内最大交易日期（一般是周五所对应日期）;
服务路径：/api/quot/stock/screen/weekkline
服务方法：GET
请求参数：code //股票编码

响应数据格式：

{
    "code": 1,
    "data": [
        {
            "avgPrice": 8.574954,//一周内平均价
            "minPrice": 8.56,//一周内最低价
            "openPrice": 8.6,//周一开盘价
            "maxPrice": 8.6,//一周内最高价
            "closePrice": 8.57,//周五收盘价（如果当前日期不到周五，则显示最新价格）
            "mxTime": "2021-12-19 15:00",//一周内最大时间
            "stockCode": "600000"//股票编码
        }
    ]
}

代码实现

1. 表现层

    /**
     * 个股周K线功能
     */
    @ApiOperation(value = "个股周K线功能", notes = "个股周K线功能", httpMethod = "GET")
    @GetMapping("/stock/screen/weekkline")
    public R<List<WeekklineDomain>> getWeekkline(@RequestParam String code){
        return service.getWeekkline(code);
    }

2. 服务层

R<List<WeekklineDomain>> getWeekkline(String code);

    @Override
    public R<List<WeekklineDomain>> getWeekkline(String code) {
        // 获取当前时间点
        DateTime curDate = DateTimeUtil.getLastDate4Stock(DateTime.now());
        // 制造mock数据
        curDate = DateTime.parse("2022-07-07 14:55:00", DateTimeFormat.forPattern("yyyy-MM-dd HH:mm:ss"));

        Date endDate = curDate.toDate();
        Date startDate = curDate.minusMonths(3).toDate();

        List<WeekklineDomain> date = stockRtInfoMapper.getWeekkline(startDate,endDate,code);

        return R.ok(date);
    }

3. Dao层

List<WeekklineDomain> getWeekkline(@Param("startDate") Date startDate, @Param("endDate") Date endDate, @Param("code") String code);

<select id="getWeekkline" resultType="com.jixu.stock.pojo.domain.WeekklineDomain">
        CREATE TEMPORARY TABLE sir1
        select
            min(min_price) as minPrice ,
            max(max_price) as maxPrice,
            max(cur_time) as mxTime,
            stock_code as stockCode,
            sum(cur_price)/count(cur_price) as avgPrice,
            YEARWEEK(cur_time) as week
        from stock_rt_info
        where stock_code = #{code}
        group by yearweek(cur_time);



        CREATE TEMPORARY TABLE sir2
        select cur_price ,
               stock_code,
               YEARWEEK(cur_time) as week
        from stock_rt_info
        where  stock_code = #{code} and cur_time in (
            select
                max(cur_time) as mxTime
            from stock_rt_info
            where stock_code = #{code}
            group by yearweek(cur_time)
        ) ;


        CREATE TEMPORARY TABLE sir3
        select open_price ,
               stock_code,
               YEARWEEK(cur_time) as week,
               cur_time
        from stock_rt_info
        where  stock_code = #{code} and cur_time in (
            select
                min(cur_time) as minTime
            from stock_rt_info
            where stock_code = #{code}
            group by yearweek(cur_time)
        )
        ;


        select sir1.stockCode as stockCode,
               sir1.avgPrice as avgPrice ,
               sir1.minPrice as minPrice,
               sir1.mxTime as mxTime,
               sir1.maxPrice as maxPrice,
               sir2.cur_price as closePrice,
               sir3.open_price as openPrice
        from sir1 join sir2 on sir1.stockCode = sir2.stock_code and sir1.week = sir2.week
                  join sir3 on sir3.stock_code=sir2.stock_code and sir2.week=sir3.week
        where sir3.cur_time between #{startDate} and #{endDate}
        ;

    </select>

原文地址：https://blog.csdn.net/xiugtt6141121/article/details/142714766

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