【发布时间】：2020-08-09 18:32:49
【问题描述】：
我正在尝试比较同一数组中的对象。我有一个 CSV 文件，其中包含分隔列表中的一些数据。摄取文件后，我需要对其进行过滤并根据两个条件将输出打印到屏幕或控制台：
如果对于同一个卫星 ID，在五分钟间隔内有三个读数低于红色下限。
如果同一颗卫星的恒温器读数在五分钟内超过红色上限。
我相信我可以使用 array.filter 然后 array.map 来实现所需的输出，但不确定从这里到哪里去循环遍历数组并比较对象。
这是想要的结果：
[
{
"satelliteId": 1000,
"severity": "RED HIGH",
"component": "TSTAT",
"timestamp": "2018-01-01T23:01:38.001Z"
},
{
"satelliteId": 1000,
"severity": "RED LOW",
"component": "BATT",
"timestamp": "2018-01-01T23:01:09.521Z"
}
]
CSV 文件如下所示：
timestamp|satelliteid|redhigh|yellowhigh|yellowlow|redlow|rawvalue|component
20180101 23:01:05.001|1001|101|98|25|20|99.9|TSTAT
20180101 23:01:09.521|1000|17|15|9|8|7.8|BATT
20180101 23:01:26.011|1001|101|98|25|20|99.8|TSTAT
20180101 23:01:38.001|1000|101|98|25|20|102.9|TSTAT
20180101 23:01:49.021|1000|101|98|25|20|87.9|TSTAT
20180101 23:02:09.014|1001|101|98|25|20|89.3|TSTAT
20180101 23:02:10.021|1001|101|98|25|20|89.4|TSTAT
20180101 23:02:11.302|1000|17|15|9|8|7.7|BATT
20180101 23:03:03.008|1000|101|98|25|20|102.7|TSTAT
20180101 23:03:05.009|1000|101|98|25|20|101.2|TSTAT
20180101 23:04:06.017|1001|101|98|25|20|89.9|TSTAT
20180101 23:04:11.531|1000|17|15|9|8|7.9|BATT
20180101 23:05:05.021|1001|101|98|25|20|89.9|TSTAT
20180101 23:05:07.421|1001|17|15|9|8|7.9|BATT
这是我编写的用于提取文件并解析它的代码。
const readFile = require("fs").readFile;
readFile("./data.csv", "utf-8", (err, data) => {
//Store final results
var result = [];
//Split Each line in the CVS
const lines = data.split("\n");
//Assumes the first line in the csv is the header
var headers = lines[0].split("|");
//Create value pair
for (var i = 1; i < lines.length; i++) {
var obj = {};
var currentline = lines[i].split("|");
for (var j = 0; j < headers.length; j++) {
obj[headers[j]] = currentline[j];
}
//Add objects to result array
result.push(obj);
}
console.log(result);
});
这是解析 CSV 文件后记录到控制台的内容。
[
{
timestamp: '20180101 23:01:05.001',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '99.9',
component: 'TSTAT'
},
{
timestamp: '20180101 23:01:09.521',
satelliteid: '1000',
redhigh: '17',
yellowhigh: '15',
yellowlow: '9',
redlow: '8',
rawvalue: '7.8',
component: 'BATT'
},
{
timestamp: '20180101 23:01:26.011',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '99.8',
component: 'TSTAT'
},
{
timestamp: '20180101 23:01:38.001',
satelliteid: '1000',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '102.9',
component: 'TSTAT'
},
{
timestamp: '20180101 23:01:49.021',
satelliteid: '1000',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '87.9',
component: 'TSTAT'
},
{
timestamp: '20180101 23:02:09.014',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '89.3',
component: 'TSTAT'
},
{
timestamp: '20180101 23:02:10.021',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '89.4',
component: 'TSTAT'
},
{
timestamp: '20180101 23:02:11.302',
satelliteid: '1000',
redhigh: '17',
yellowhigh: '15',
yellowlow: '9',
redlow: '8',
rawvalue: '7.7',
component: 'BATT'
},
{
timestamp: '20180101 23:03:03.008',
satelliteid: '1000',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '102.7',
component: 'TSTAT'
},
{
timestamp: '20180101 23:03:05.009',
satelliteid: '1000',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '101.2',
component: 'TSTAT'
},
{
timestamp: '20180101 23:04:06.017',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '89.9',
component: 'TSTAT'
},
{
timestamp: '20180101 23:04:11.531',
satelliteid: '1000',
redhigh: '17',
yellowhigh: '15',
yellowlow: '9',
redlow: '8',
rawvalue: '7.9',
component: 'BATT'
},
{
timestamp: '20180101 23:05:05.021',
satelliteid: '1001',
redhigh: '101',
yellowhigh: '98',
yellowlow: '25',
redlow: '20',
rawvalue: '89.9',
component: 'TSTAT'
},
{
timestamp: '20180101 23:05:07.421',
satelliteid: '1001',
redhigh: '17',
yellowhigh: '15',
yellowlow: '9',
redlow: '8',
rawvalue: '7.9',
component: 'BATT'
}
]
【问题讨论】：
-
这 5 分钟的间隔是多少？我认为 redhigh 或 redlow 是使用 rawvalue 决定的。对吗？
-
是的，你使用 rawvalue 来确定它是落入高点还是低点，所以如果我要使用过滤器，我可能会使用 result.filter(item => item.rawvalue > item.redlow)或类似的东西。 5 分钟间隔涉及比较时间戳，以查看它们是否在同一 ID 的 5 分钟内
标签： javascript arrays csv