在没有来自 MySQL 的键的情况下循环对象字典

Question

创建表：

CREATE TABLE comprehensive_risk_summary (
    set_id BINARY(16) PRIMARY KEY NOT NULL,
    calculation_time DATETIME NOT NULL,
    label VARCHAR(50) NOT NULL,
    critical_count VARCHAR(60) NOT NULL,
    median_risk VARCHAR(60)
);

插入数据的SQL表为：

INSERT INTO comp_risk VALUES (
    UNHEX(REPLACE("5a9dbfca-74d6-471a-af27-31beb4b53bb2", "-","")),
    "NOW()"
    "{5/27/20, Apr. 2020, Aug 2019, Dec 2019}",
    "{2, 4, 5, 4}",
    "{1.05, 1.25, 1.07, 1.13}"
);

查询此表select * from comp_risk，响应如下：

"data": {
            "patient_set_id": "5a9dbfca-74d6-471a-af27-31beb4b53bb2",
            "calculation_time": "2020-12-01 11:57:34",
            "label": "{5/27/20, Apr. 2020, Aug 2019, Dec 2019}",
            "critical_count": "{2, 4, 5, 4}",
            "median_risk": "{1.05, 1.25, 1.07, 1.13}"
        }

我需要如下格式的最终​​数据：

{
    "set_id": "5a9dbfca-74d6-471a-af27-31beb4b53bb2",
    "calculation_time": "2020-12-01 11:57:34",
    "internals" : [
             {  "label" : "5/27/20",
                "cat4_cnt": {
                  "count": 2
                },
                "median": 1.05
             },
             {  "label" : "Apr. 2019",
                "cat4_cnt": {
                  "count": 4
                },
                "median": 1.25
             },
             {  "label" : "Aug. 2019",
                "cat4_cnt": {
                  "count": 5
                },
                "median": 1.07
             },
             {  "label" : "Dec. 2019",
                "cat4_cnt": {
                  "count": 4
                },
                "median": 1.13
             }];
  }

我无法弄清楚如何实现相同的功能，因为从数据库返回的数据返回的 JSON 没有键，只有值。我循环遍历对象行，比如"median_risk": "{1.05, 1.25, 1.07, 1.13}"，如下所示：

for(ele in median_risk){
    console.log('--->', ele);
}

但它返回不合逻辑的输出，例如：

---> 1
---> 2
---> 3
---> 4
---> 5
---> 6
---> 7
---> 8
---> 9
---> 10
---> 11
---> 12
---> 13

我被困了一段时间，如果有人可以帮助我解决这个问题或任何其他更好的方法，非常感谢！

MySQL 版本：5.7 将 AWS RDS Aurora DB 与 Nodejs 结合使用

Answer 1

我可以建议 node.js 解决这个问题：

const data = {
    "patient_set_id": "5a9dbfca-74d6-471a-af27-31beb4b53bb2",
    "calculation_time": "2020-12-01 11:57:34",
    "label": "{5/27/20, Apr. 2020, Aug 2019, Dec 2019}",
    "critical_count": "{2, 4, 5, 4}",
    "median_risk": "{1.05, 1.25, 1.07, 1.13}"
};

const labels = data.label.split(',');
const critical_counts = data.critical_count.split(',');
const median_risks = data.median_risk.split(',');

const internals = labels.reduce((internals, l, i)=>{
    const clean = (s) => s.replace('{','').replace('}','').trim();
    internals.push({
        label: clean(l),
        cat4_cnt: {count: clean(critical_counts[1])},
        median: clean(median_risks[i])
    });
    return internals;
},[])

console.log(internals);