高程产品报告生产代码修改
parent
22bf3f8327
commit
2731a1986a
30
src/App.vue
30
src/App.vue
|
@ -1,6 +1,6 @@
|
|||
<template>
|
||||
<div id="app">
|
||||
<router-view/>
|
||||
<router-view />
|
||||
</div>
|
||||
</template>
|
||||
<script>
|
||||
|
@ -10,17 +10,31 @@ export default {
|
|||
sessionStorage.getItem('umeetCloudVuex') && this.$store.replaceState(Object.assign(this.$store.state, JSON.parse(sessionStorage.getItem('umeetCloudVuex'))));
|
||||
// 在页面刷新时将vuex里的信息保存到sessionStorage里
|
||||
window.addEventListener('beforeunload', () => {
|
||||
sessionStorage.setItem('umeetCloudVuex', JSON.stringify(this.$store.state))
|
||||
sessionStorage.setItem('umeetCloudVuex', JSON.stringify(this.$store.state))
|
||||
})
|
||||
}
|
||||
},
|
||||
mounted() {
|
||||
const hash = window.location.hash;
|
||||
// 提取 ? 后的查询部分
|
||||
const queryString = hash.split('?')[1]; // "userId=1&userName=dqy"
|
||||
// 使用 URLSearchParams 来解析查询参数
|
||||
const params = new URLSearchParams(queryString);
|
||||
// 获取参数值
|
||||
const userId = params.get('userId');
|
||||
const userName = params.get('userName');
|
||||
localStorage.setItem('userId', userId);
|
||||
localStorage.setItem('userName', userName);
|
||||
},
|
||||
|
||||
}
|
||||
</script>
|
||||
|
||||
<style>
|
||||
html, body, #app{
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
font-size: 16px;
|
||||
}
|
||||
html,
|
||||
body,
|
||||
#app {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
font-size: 16px;
|
||||
}
|
||||
</style>
|
||||
|
|
|
@ -28,16 +28,17 @@
|
|||
<el-table-column type="selection" width="55"> </el-table-column>
|
||||
<el-table-column label="序号" type="index" width="70">
|
||||
</el-table-column>
|
||||
<el-table-column prop="samplesId" label="样本编号" show-overflow-tooltip min-width="100px;">
|
||||
<el-table-column prop="id" label="样本编号" show-overflow-tooltip min-width="100px;">
|
||||
</el-table-column>
|
||||
<el-table-column prop="lat" label="纬度" sortable show-overflow-tooltip>
|
||||
</el-table-column>
|
||||
<el-table-column prop="lng" label="经度" sortable show-overflow-tooltip>
|
||||
<el-table-column prop="lon" label="经度" sortable show-overflow-tooltip>
|
||||
</el-table-column>
|
||||
<el-table-column :label="smLabel" show-overflow-tooltip>
|
||||
<template slot-scope="scope">{{ getSampleVal(scope.row.paramStr) }}</template>
|
||||
<!-- <template slot-scope="scope">{{ getSampleVal(scope.row.dataValue) }}</template> -->
|
||||
<template slot-scope="scope">{{ scope.row.dataValue }}</template>
|
||||
</el-table-column>
|
||||
<el-table-column prop="collectDate" label="采样时间" sortable show-overflow-tooltip min-width="80px;">
|
||||
<el-table-column prop="dataTime" label="采样时间" sortable show-overflow-tooltip min-width="80px;">
|
||||
</el-table-column>
|
||||
<el-table-column label="操作" align="center" min-width="100px;">
|
||||
<template slot-scope="scope">
|
||||
|
@ -92,7 +93,7 @@ import {
|
|||
getSampleData,
|
||||
getSamplesByLayer,
|
||||
} from "@/api/lang/pendingOrder";
|
||||
|
||||
import { getOrderSamples } from '@/api/pendingOrder'
|
||||
import cu from "@/lib/cesiumUtils";
|
||||
import SampleSetting from "@/components/ration/sampleSetting/index.vue";
|
||||
import WKT from "terraformer-wkt-parser";
|
||||
|
@ -133,6 +134,9 @@ export default {
|
|||
orderId: {
|
||||
require: true,
|
||||
},
|
||||
productType: {
|
||||
require: true
|
||||
},
|
||||
productSubType: {
|
||||
require: true,
|
||||
},
|
||||
|
@ -487,15 +491,15 @@ export default {
|
|||
cu.removePoint();
|
||||
if (val.length !== 0) {
|
||||
for (let i in val) {
|
||||
cu.addPoint(val[i].lng, val[i].lat, 10);
|
||||
cu.addPoint(val[i].lon, val[i].lat, 10);
|
||||
}
|
||||
}
|
||||
this.multipleSelection = val;
|
||||
},
|
||||
getSplData() {
|
||||
getSamplesList(this.orderId).then((res) => {
|
||||
getOrderSamples(this.orderId, this.productSubType).then((res) => {
|
||||
if (res.code == 200) {
|
||||
let rd = res.data.list;
|
||||
let rd = res.data;
|
||||
if (rd.length > 0) {
|
||||
for (const i in rd) {
|
||||
// 添加默认样本分层标识
|
||||
|
@ -506,10 +510,12 @@ export default {
|
|||
this.$refs.multipleTable.toggleAllSelection();
|
||||
let min = Number.MAX_SAFE_INTEGER;
|
||||
let max = Number.MIN_SAFE_INTEGER;
|
||||
|
||||
this.$store.commit("setAltRange", null);
|
||||
|
||||
this.allSampleData.forEach((k, v) => {
|
||||
k.dataTime = this.formatDatetime(k.dataTime);
|
||||
const xqsmParam = JSON.parse(k.paramStr);
|
||||
const xqsmParam = k;
|
||||
if (xqsmParam.alt) {
|
||||
min = min > xqsmParam.alt ? xqsmParam.alt : min;
|
||||
max = max < xqsmParam.alt ? xqsmParam.alt : max;
|
||||
|
|
|
@ -3,81 +3,36 @@
|
|||
<div class="realResult">
|
||||
<div class="box1"><span class="sp1"></span><span class="sp2">真实性检验结果</span></div>
|
||||
<div class="resContent">
|
||||
<el-table
|
||||
:header-cell-style="headerRowClass"
|
||||
:cell-style="tableRowClassName"
|
||||
style="width: 100%"
|
||||
:data="tDatas"
|
||||
:stripe="true"
|
||||
class="table-head-transparent"
|
||||
size="medium"
|
||||
>
|
||||
<el-table-column
|
||||
v-for="(item, index) in Object.keys(tData).slice(0, midValue)"
|
||||
:key="index"
|
||||
:label="item | truthFunFilter"
|
||||
:property="item"
|
||||
align="center"
|
||||
>
|
||||
<el-table :header-cell-style="headerRowClass" :cell-style="tableRowClassName" style="width: 100%"
|
||||
:data="tDatas" :stripe="true" class="table-head-transparent" size="medium">
|
||||
<el-table-column v-for="(item, index) in Object.keys(tData).slice(0, midValue)" :key="index"
|
||||
:label="item | truthFunFilter" :property="item" align="center">
|
||||
<template slot-scope="scope">{{ scope.row[item] }}</template>
|
||||
</el-table-column>
|
||||
</el-table>
|
||||
<el-table
|
||||
:header-cell-style="headerRowClass"
|
||||
:cell-style="tableRowClassName"
|
||||
style="width: 100%; margin-top: 16px"
|
||||
:data="tDatas"
|
||||
:stripe="true"
|
||||
class="table-head-transparent"
|
||||
size="medium"
|
||||
>
|
||||
<el-table-column
|
||||
v-for="(item, index) in Object.keys(tData).slice(midValue)"
|
||||
:key="index"
|
||||
:label="item | truthFunFilter"
|
||||
:property="item"
|
||||
align="center"
|
||||
>
|
||||
<el-table :header-cell-style="headerRowClass" :cell-style="tableRowClassName"
|
||||
style="width: 100%; margin-top: 16px" :data="tDatas" :stripe="true" class="table-head-transparent"
|
||||
size="medium">
|
||||
<el-table-column v-for="(item, index) in Object.keys(tData).slice(midValue)" :key="index"
|
||||
:label="item | truthFunFilter" :property="item" align="center">
|
||||
<template slot-scope="scope">{{ scope.row[item] }}</template>
|
||||
</el-table-column>
|
||||
</el-table>
|
||||
<!--<span v-for="(item,index) in resMap" :key="index">{{item.name | truthFunFilter}}:{{item.val}}</span>-->
|
||||
<div v-if="meanError.length !== 0">
|
||||
<el-table
|
||||
:header-cell-style="headerRowClass"
|
||||
:cell-style="tableRowClassName"
|
||||
style="width: 100%"
|
||||
:data="meanError"
|
||||
:stripe="true"
|
||||
size="medium"
|
||||
>
|
||||
<el-table-column
|
||||
prop="8_0"
|
||||
label="平均相对误差:相对X轴误差"
|
||||
align="center"
|
||||
v-if="meanError[0]['8_0'] != null"
|
||||
>
|
||||
<el-table :header-cell-style="headerRowClass" :cell-style="tableRowClassName" style="width: 100%"
|
||||
:data="meanError" :stripe="true" size="medium">
|
||||
<el-table-column prop="8_0" label="平均相对误差:相对X轴误差" align="center"
|
||||
v-if="meanError[0]['8_0'] != null">
|
||||
</el-table-column>
|
||||
<el-table-column
|
||||
prop="8_1"
|
||||
label="平均相对误差:相对Y轴误差"
|
||||
align="center"
|
||||
v-if="meanError[0]['8_1'] != null"
|
||||
>
|
||||
<el-table-column prop="8_1" label="平均相对误差:相对Y轴误差" align="center"
|
||||
v-if="meanError[0]['8_1'] != null">
|
||||
</el-table-column>
|
||||
<el-table-column
|
||||
prop="24_0"
|
||||
label="平均绝对相对误差:相对X轴误差"
|
||||
align="center"
|
||||
v-if="meanError[0]['24_0'] != null"
|
||||
>
|
||||
<el-table-column prop="24_0" label="平均绝对相对误差:相对X轴误差" align="center"
|
||||
v-if="meanError[0]['24_0'] != null">
|
||||
</el-table-column>
|
||||
<el-table-column
|
||||
prop="24_1"
|
||||
label="平均绝对相对误差:相对Y轴误差"
|
||||
align="center"
|
||||
v-if="meanError[0]['24_1'] != null"
|
||||
>
|
||||
<el-table-column prop="24_1" label="平均绝对相对误差:相对Y轴误差" align="center"
|
||||
v-if="meanError[0]['24_1'] != null">
|
||||
</el-table-column>
|
||||
</el-table>
|
||||
</div>
|
||||
|
@ -149,17 +104,17 @@ export default {
|
|||
filters: {
|
||||
truthFunFilter(truthFun) {
|
||||
const truthFunMap = {
|
||||
4: "平均误差",
|
||||
9: "平均绝对误差",
|
||||
5: "相对误差",
|
||||
8: "平均相对误差",
|
||||
24: "平均绝对相对误差",
|
||||
6: "均方根误差",
|
||||
23: "平面中误差",
|
||||
0: "平均误差",
|
||||
1: "平均绝对误差",
|
||||
2: "相对误差",
|
||||
3: "平均相对误差",
|
||||
4: "平均绝对相对误差",
|
||||
5: "均方根误差",
|
||||
6: "平面中误差",
|
||||
7: "相关系数",
|
||||
12: "误差矩阵",
|
||||
14: "总体分类精度",
|
||||
13: "Kappa系数",
|
||||
8: "误差矩阵",
|
||||
9: "总体分类精度",
|
||||
10: "Kappa系数",
|
||||
};
|
||||
return truthFunMap[truthFun];
|
||||
},
|
||||
|
@ -343,10 +298,10 @@ export default {
|
|||
const x_limit = Math.abs((Math.max(...xArr) - Math.min(...xArr)) / xArr.length);
|
||||
// const y_limit = Math.abs((Math.max(...observedValues) - Math.min(...observedValues)) / observedValues.length);
|
||||
//多项式回归
|
||||
let wcpf = data.map(a=>{
|
||||
return Math.pow((a[1]-a[0]),2)
|
||||
let wcpf = data.map(a => {
|
||||
return Math.pow((a[1] - a[0]), 2)
|
||||
}).reduce((acc, curr) => acc + curr, 0);
|
||||
let rmseValue = "RMSE = "+ Math.sqrt(wcpf/data.length);
|
||||
let rmseValue = "RMSE = " + Math.sqrt(wcpf / data.length);
|
||||
let myRegression = this.echartRegression("polynomial", data, 1);
|
||||
// 计算 R2 决定系数
|
||||
this.erR2 = "r² = " + this.calculateR2(observedValues, predictedValues);
|
||||
|
@ -443,17 +398,17 @@ export default {
|
|||
// }
|
||||
// },
|
||||
{
|
||||
name:"RMSE",
|
||||
name: "RMSE",
|
||||
icon: "circle",
|
||||
itemStyle: {
|
||||
color:"#FFF"
|
||||
color: "#FFF"
|
||||
}
|
||||
}
|
||||
],
|
||||
formatter: (name) => {
|
||||
if (name === "erExpression") return this.erExpression;
|
||||
else if (name === "r2") return this.erR2;
|
||||
else if(name ==="RMSE") return rmseValue;
|
||||
else if (name === "RMSE") return rmseValue;
|
||||
},
|
||||
},
|
||||
xAxis: {
|
||||
|
@ -474,7 +429,7 @@ export default {
|
|||
nameTextStyle: {
|
||||
lineHeight: 30,
|
||||
height: 60,
|
||||
// fontWeight: "bold",
|
||||
// fontWeight: "bold",
|
||||
fontSize: 13,
|
||||
padding: [0, 0, 20, 0],
|
||||
},
|
||||
|
@ -630,7 +585,7 @@ export default {
|
|||
{
|
||||
// symbol: "image://data:image/png;base64,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",
|
||||
// symbol: "image://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEsAAABLCAYAAAA4TnrqAAAAv0lEQVR4nO3UsUmEQRCA0U801cASxECwAUOrMLEly7CGM7OAM/ZSCxBzA0ERLjqQQ3G5X//3YLPdYWZ2dgMAAAAAAAAAAIBd25/hDVxUR9Xzdw/OsVmn1bK6qk6qt+ppAnlN0mX1vrFeqtvqujr+Kum9CRe1HBT3sDrbsue+WlR31WpQHr9q8/Z3tR6rm8/CDibcrIdBcf/lZI3y4z9rypM12mo9OYv1JG01x2a9Vudzf14AAAAAAAAAAAD8RdUHTdhBNENzGoYAAAAASUVORK5CYII=",
|
||||
symbol:"image://" + arrow,
|
||||
symbol: "image://" + arrow,
|
||||
symbolRotate: (number, params) => {
|
||||
console.log(number, params);
|
||||
return bearingArr[params.dataIndex];
|
||||
|
@ -662,17 +617,20 @@ export default {
|
|||
width: 100%;
|
||||
height: 100%;
|
||||
}
|
||||
|
||||
.realResult {
|
||||
width: 100%;
|
||||
height: calc(55% - 5px);
|
||||
background-color: white;
|
||||
margin-bottom: 5px;
|
||||
}
|
||||
|
||||
.errorGraph {
|
||||
width: 100%;
|
||||
height: 45%;
|
||||
background-color: white;
|
||||
}
|
||||
|
||||
.resContent {
|
||||
border: 1px black solid;
|
||||
height: calc(100% - 60px);
|
||||
|
@ -680,11 +638,13 @@ export default {
|
|||
margin: 10px;
|
||||
font-size: 20px;
|
||||
overflow-y: scroll;
|
||||
|
||||
span {
|
||||
display: block;
|
||||
margin: 10px;
|
||||
}
|
||||
}
|
||||
|
||||
.errContent {
|
||||
border: 1px black solid;
|
||||
height: calc(100% - 60px);
|
||||
|
@ -692,16 +652,19 @@ export default {
|
|||
margin: 10px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
#rtReportEcharts {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.box1 {
|
||||
height: 40px;
|
||||
line-height: 40px;
|
||||
border-bottom: 1px solid rgb(205, 205, 205, 0.5);
|
||||
}
|
||||
|
||||
.sp1 {
|
||||
display: inline-block;
|
||||
width: 7px;
|
||||
|
@ -711,6 +674,7 @@ export default {
|
|||
margin-left: 20px;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.sp2 {
|
||||
margin-left: 10px;
|
||||
font-size: 20px;
|
||||
|
@ -728,10 +692,12 @@ export default {
|
|||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
|
||||
.line {
|
||||
height: 20px;
|
||||
line-height: 20px;
|
||||
margin: 0 5px;
|
||||
|
||||
.circle {
|
||||
display: inline-block;
|
||||
width: 7px;
|
||||
|
@ -740,6 +706,7 @@ export default {
|
|||
border-radius: 50%;
|
||||
margin-right: 5px;
|
||||
}
|
||||
|
||||
.circle_2 {
|
||||
display: inline-block;
|
||||
width: 7px;
|
||||
|
@ -750,16 +717,19 @@ export default {
|
|||
}
|
||||
}
|
||||
}
|
||||
|
||||
.erTip {
|
||||
position: absolute;
|
||||
top: 10px;
|
||||
right: 26px;
|
||||
font-size: small;
|
||||
text-align: end;
|
||||
|
||||
.echartReg {
|
||||
height: 20px;
|
||||
line-height: 20px;
|
||||
margin: 0 5px;
|
||||
|
||||
.echartRegName {
|
||||
display: inline-block;
|
||||
width: 9px;
|
||||
|
|
|
@ -33,7 +33,8 @@ const url = {
|
|||
const serverUrl = DQYSERVER_URL;
|
||||
const langServerUrl = LXYSERVER_URL;
|
||||
const urlprefix = {
|
||||
pdfUrlPrefix: `${serverUrl}/microwaveData/pdf/`,
|
||||
// pdfUrlPrefix: `${serverUrl}/microwaveData/pdf/`,
|
||||
pdfUrlPrefix: `http://192.168.1.205:8081/microwaveData/pdf/`,
|
||||
samePoiImgsUrl: `${serverUrl}/microwaveData/samePoiImgs/`,
|
||||
geoserverUrl: `${serverUrl}/geoserver/gwc/service/wmts`,
|
||||
otgGeoServerUrl: `${serverUrl}/geoserver/gwc/service/wmts`,
|
||||
|
|
|
@ -1,16 +1,16 @@
|
|||
export const productSubTypeVal = {
|
||||
ACS_ORTHOPHOTO: 45, // 正射产品校验
|
||||
ACS_DEM: 46, // 高程产品校验
|
||||
ACS_BACKSCATTERINGCOEFFICIENT: 51, // 后向散射系数产品校验
|
||||
ACS_ATMOSPHERICDELAYCORRECTION: 52, // 大气延迟校正产品校验
|
||||
ACS_DEFORMATION: 53, // 干涉测量形变产品校验
|
||||
ACS_TYPESOFLANDCOVER: 39, // 地表覆盖类型产品校验
|
||||
ACS_SOILMOISTURE: 38, // 土壤水分产品校验
|
||||
ACS_SOILSALINITYINVERSION: 49, // 土壤盐碱度产品校验
|
||||
ACS_SURFACEROUGHNESS: 50, // 地表粗糙度产品校验
|
||||
ACS_GROUNDVEGETATIONHEIGHT: 48, // 植被高度产品校验
|
||||
ACS_GROUNDLEAFAREAINDEX: 43, // 叶面积指数产品校验
|
||||
ACS_VEGETATIONPHENOLOGY: 47 // 植被物候产品校验
|
||||
ACS_ORTHOPHOTO: 1, // 正射产品校验
|
||||
ACS_DEM: 2, // 高程产品校验
|
||||
ACS_BACKSCATTERINGCOEFFICIENT: 3, // 后向散射系数产品校验
|
||||
ACS_ATMOSPHERICDELAYCORRECTION: 4, // 大气延迟校正产品校验
|
||||
ACS_DEFORMATION: 5, // 干涉测量形变产品校验
|
||||
ACS_TYPESOFLANDCOVER: 6, // 地表覆盖类型产品校验
|
||||
ACS_SOILMOISTURE: 7, // 土壤水分产品校验
|
||||
ACS_SOILSALINITYINVERSION: 8, // 土壤盐碱度产品校验
|
||||
ACS_SURFACEROUGHNESS: 9, // 地表粗糙度产品校验
|
||||
ACS_GROUNDVEGETATIONHEIGHT: 10, // 植被高度产品校验
|
||||
ACS_GROUNDLEAFAREAINDEX: 11, // 叶面积指数产品校验
|
||||
ACS_VEGETATIONPHENOLOGY: 12 // 植被物候产品校验
|
||||
};
|
||||
export const pixelFunVal = {
|
||||
PHM_AVERAGING: 1, // 均值法
|
||||
|
@ -20,17 +20,17 @@ export const pixelFunVal = {
|
|||
PHM_MSN: 10 // MSN法
|
||||
};
|
||||
export const truthFunVal = {
|
||||
ACM_MEANERROR: 4, // 平均误差
|
||||
ACM_MEANABSOLUTEERROR: 9, // 平均绝对误差
|
||||
ACM_RELATIVEERROR: 5, // 相对误差
|
||||
ACM_MEANRELATIVEERROR: 8, // 平均相对误差
|
||||
ACM_ROOTMANSQUAREERROR: 6, // 均方根误差
|
||||
ACM_MEANERROR: 0, // 平均误差
|
||||
ACM_MEANABSOLUTEERROR: 1, // 平均绝对误差
|
||||
ACM_RELATIVEERROR: 2, // 相对误差
|
||||
ACM_MEANRELATIVEERROR: 3, // 平均相对误差
|
||||
ACM_ROOTMANSQUAREERROR: 5, // 均方根误差
|
||||
ACM_CORRELATIONCOEFFICIENT: 7, // 相关系数
|
||||
ACM_ERRORMATRIX: 12, // 误差矩阵(混淆矩阵)
|
||||
ACM_OVERALLACCURACY: 14, // 总体分类精度
|
||||
ACM_KAPPA: 13, // Kappa系数
|
||||
ACM_MEANABSOLUTERELATIVEERROR: 24, // 平均绝对相对误差
|
||||
ACM_PLANENESSERROR: 23, // 平面中误差
|
||||
ACM_ERRORMATRIX: 8, // 误差矩阵(混淆矩阵)
|
||||
ACM_OVERALLACCURACY: 9, // 总体分类精度
|
||||
ACM_KAPPA: 10, // Kappa系数
|
||||
ACM_MEANABSOLUTERELATIVEERROR: 4, // 平均绝对相对误差
|
||||
ACM_PLANENESSERROR: 6, // 平面中误差
|
||||
ACM_REALVALLIST: 11, //真值数组记录
|
||||
ACM_OTGERROR:112, //正射误差记录
|
||||
ACM_OTGERROR:12, //正射误差记录
|
||||
};
|
||||
|
|
|
@ -1,59 +1,58 @@
|
|||
//产品枚举映射
|
||||
//真实性检验方法映射
|
||||
export function productTypeMap(pdtype) {
|
||||
const pdtypeMap = {
|
||||
45: "正射产品",
|
||||
46: "高程产品",
|
||||
51: "后向散射系数产品",
|
||||
52: "大气延迟校正产品",
|
||||
53: "干涉测量形变产品",
|
||||
39: "地表覆盖类型产品",
|
||||
38: "土壤水分产品",
|
||||
49: "土壤盐碱度产品",
|
||||
50: "地表粗糙度产品",
|
||||
48: "植被高度产品",
|
||||
43: "叶面积指数产品",
|
||||
47: "植被物候产品"
|
||||
1: "正射产品",
|
||||
2: "高程产品",
|
||||
3: "后向散射系数产品",
|
||||
4: "大气延迟校正产品",
|
||||
5: "干涉测量形变产品",
|
||||
6: "地表覆盖类型产品",
|
||||
7: "土壤水分产品",
|
||||
8: "土壤盐碱度产品",
|
||||
9: "地表粗糙度产品",
|
||||
10: "植被高度产品",
|
||||
11: "叶面积指数产品",
|
||||
12: "植被物候产品",
|
||||
};
|
||||
if (pdtype == null) return null;
|
||||
else return pdtypeMap[pdtype];
|
||||
}
|
||||
|
||||
//产品--样本类型映射
|
||||
export function productTypeSplMap(pdtype) {
|
||||
const pdtypeMap = {
|
||||
45: "正射样本",
|
||||
46: "高程样本",
|
||||
51: "后向散射系数样本",
|
||||
52: "大气延迟校正样本",
|
||||
53: "干涉测量形变样本",
|
||||
39: "地表覆盖类型样本",
|
||||
38: "土壤水分样本",
|
||||
49: "土壤盐碱度样本",
|
||||
50: "地表粗糙度样本",
|
||||
48: "植被高度样本",
|
||||
43: "叶面积指数样本",
|
||||
47: "植被物候样本"
|
||||
1: "正射样本",
|
||||
2: "高程样本",
|
||||
3: "后向散射系数样本",
|
||||
4: "大气延迟校正样本",
|
||||
5: "干涉测量形变样本",
|
||||
6: "地表覆盖类型样本",
|
||||
7: "土壤水分样本",
|
||||
8: "土壤盐碱度样本",
|
||||
9: "地表粗糙度样本",
|
||||
10: "植被高度样本",
|
||||
11: "叶面积指数样本",
|
||||
12: "植被物候样本",
|
||||
};
|
||||
if (pdtype == null) return null;
|
||||
else return pdtypeMap[pdtype];
|
||||
}
|
||||
|
||||
//真实性检验方法映射
|
||||
export function truthFunctionsMap(truthFun) {
|
||||
const truthFunMap = {
|
||||
4: "平均误差",
|
||||
9: "平均绝对误差",
|
||||
5: "相对误差",
|
||||
8: "平均相对误差",
|
||||
24: "平均绝对相对误差",
|
||||
6: "均方根误差",
|
||||
23: "平面中误差",
|
||||
0: "平均误差",
|
||||
1: "平均绝对误差",
|
||||
2: "相对误差",
|
||||
3: "平均相对误差",
|
||||
4: "平均绝对相对误差",
|
||||
5: "均方根误差",
|
||||
6: "平面中误差",
|
||||
7: "相关系数",
|
||||
12: "误差矩阵",
|
||||
14: "总体分类精度",
|
||||
13: "Kappa系数",
|
||||
8: "误差矩阵",
|
||||
9: "总体分类精度",
|
||||
10: "Kappa系数",
|
||||
11: "产品真值",
|
||||
112: "正射误差列表",
|
||||
12: "正射误差列表",
|
||||
|
||||
};
|
||||
if (truthFun == null) return null;
|
||||
else return truthFunMap[truthFun];
|
||||
|
@ -62,9 +61,9 @@ export function truthFunctionsMap(truthFun) {
|
|||
// 抽样方法枚举转换
|
||||
export function transformSlp(sampleFun) {
|
||||
const sampleFunMap = {
|
||||
"1": "随机抽样",
|
||||
"2": "分层抽样",
|
||||
"3": "等距抽样"
|
||||
0: "随机抽样",
|
||||
1: "分层抽样",
|
||||
2: "等距抽样",
|
||||
};
|
||||
if (sampleFun == null) return null;
|
||||
else return sampleFunMap[sampleFun];
|
||||
|
@ -72,35 +71,35 @@ export function transformSlp(sampleFun) {
|
|||
// 像元级方法枚举转换
|
||||
export function transformPcMethod(pixelDealFun) {
|
||||
const pixelDealFunMap = {
|
||||
"1": "均值法",
|
||||
"6": "最邻近法",
|
||||
"7": "克里格法",
|
||||
"9": "块克里格法",
|
||||
"10": "MSN法"
|
||||
0: "均值法",
|
||||
1: "最邻近法",
|
||||
2: "克里格法",
|
||||
3: "块克里格法",
|
||||
4: "MSN法",
|
||||
};
|
||||
if (pixelDealFun == null) return null;
|
||||
else return pixelDealFunMap[pixelDealFun];
|
||||
}
|
||||
|
||||
export const PIXELDEALFUNOPTION = [
|
||||
{
|
||||
value: "0",
|
||||
label: "均值法",
|
||||
},
|
||||
{
|
||||
value: "1",
|
||||
label: "均值法"
|
||||
label: "最邻近法",
|
||||
},
|
||||
{
|
||||
value: "6",
|
||||
label: "最邻近法"
|
||||
value: "2",
|
||||
label: "克里格法",
|
||||
},
|
||||
{
|
||||
value: "7",
|
||||
label: "克里格法"
|
||||
value: "3",
|
||||
label: "块克里格法",
|
||||
},
|
||||
{
|
||||
value: "9",
|
||||
label: "块克里格法"
|
||||
value: "4",
|
||||
label: "MSN法",
|
||||
},
|
||||
{
|
||||
value: "10",
|
||||
label: "MSN法"
|
||||
}
|
||||
];
|
||||
|
|
|
@ -0,0 +1,106 @@
|
|||
//产品枚举映射
|
||||
export function productTypeMap(pdtype) {
|
||||
const pdtypeMap = {
|
||||
45: "正射产品",
|
||||
46: "高程产品",
|
||||
51: "后向散射系数产品",
|
||||
52: "大气延迟校正产品",
|
||||
53: "干涉测量形变产品",
|
||||
39: "地表覆盖类型产品",
|
||||
38: "土壤水分产品",
|
||||
49: "土壤盐碱度产品",
|
||||
50: "地表粗糙度产品",
|
||||
48: "植被高度产品",
|
||||
43: "叶面积指数产品",
|
||||
47: "植被物候产品"
|
||||
};
|
||||
if (pdtype == null) return null;
|
||||
else return pdtypeMap[pdtype];
|
||||
}
|
||||
|
||||
//产品--样本类型映射
|
||||
export function productTypeSplMap(pdtype) {
|
||||
const pdtypeMap = {
|
||||
45: "正射样本",
|
||||
46: "高程样本",
|
||||
51: "后向散射系数样本",
|
||||
52: "大气延迟校正样本",
|
||||
53: "干涉测量形变样本",
|
||||
39: "地表覆盖类型样本",
|
||||
38: "土壤水分样本",
|
||||
49: "土壤盐碱度样本",
|
||||
50: "地表粗糙度样本",
|
||||
48: "植被高度样本",
|
||||
43: "叶面积指数样本",
|
||||
47: "植被物候样本"
|
||||
};
|
||||
if (pdtype == null) return null;
|
||||
else return pdtypeMap[pdtype];
|
||||
}
|
||||
|
||||
//真实性检验方法映射
|
||||
export function truthFunctionsMap(truthFun) {
|
||||
const truthFunMap = {
|
||||
4: "平均误差",
|
||||
9: "平均绝对误差",
|
||||
5: "相对误差",
|
||||
8: "平均相对误差",
|
||||
24: "平均绝对相对误差",
|
||||
6: "均方根误差",
|
||||
23: "平面中误差",
|
||||
7: "相关系数",
|
||||
12: "误差矩阵",
|
||||
14: "总体分类精度",
|
||||
13: "Kappa系数",
|
||||
11: "产品真值",
|
||||
112: "正射误差列表",
|
||||
};
|
||||
if (truthFun == null) return null;
|
||||
else return truthFunMap[truthFun];
|
||||
}
|
||||
|
||||
// 抽样方法枚举转换
|
||||
export function transformSlp(sampleFun) {
|
||||
const sampleFunMap = {
|
||||
"1": "随机抽样",
|
||||
"2": "分层抽样",
|
||||
"3": "等距抽样"
|
||||
};
|
||||
if (sampleFun == null) return null;
|
||||
else return sampleFunMap[sampleFun];
|
||||
}
|
||||
// 像元级方法枚举转换
|
||||
export function transformPcMethod(pixelDealFun) {
|
||||
const pixelDealFunMap = {
|
||||
"1": "均值法",
|
||||
"6": "最邻近法",
|
||||
"7": "克里格法",
|
||||
"9": "块克里格法",
|
||||
"10": "MSN法"
|
||||
};
|
||||
if (pixelDealFun == null) return null;
|
||||
else return pixelDealFunMap[pixelDealFun];
|
||||
}
|
||||
|
||||
export const PIXELDEALFUNOPTION = [
|
||||
{
|
||||
value: "1",
|
||||
label: "均值法"
|
||||
},
|
||||
{
|
||||
value: "6",
|
||||
label: "最邻近法"
|
||||
},
|
||||
{
|
||||
value: "7",
|
||||
label: "克里格法"
|
||||
},
|
||||
{
|
||||
value: "9",
|
||||
label: "块克里格法"
|
||||
},
|
||||
{
|
||||
value: "10",
|
||||
label: "MSN法"
|
||||
}
|
||||
];
|
|
@ -178,17 +178,15 @@ export default {
|
|||
cu.addlayer(geoWS, geoLN);
|
||||
const gp = this.reportMsg.geoLayerPos;
|
||||
cu.flyToLayerRect(gp[0], gp[1], gp[2], gp[3]);
|
||||
|
||||
const sd = this.sampleData;
|
||||
|
||||
if (this.pdSubType === productSubTypeVal.ACS_ORTHOPHOTO) {
|
||||
for (let i in sd) {
|
||||
cu.addPoint(sd[i].measureLong, sd[i].measureLat, 10);
|
||||
cu.addPoint(sd[i].lon, sd[i].lat, 10);
|
||||
}
|
||||
} else {
|
||||
for (let i in sd) {
|
||||
const alt = JSON.parse(sd[i].paramStr).alt;
|
||||
cu.addPoint(sd[i].lng, sd[i].lat, alt !== "null" ? alt : 10);
|
||||
const alt = sd[i].alt;
|
||||
cu.addPoint(sd[i].lon, sd[i].lat, alt !== "null" ? alt : 10);
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -253,11 +251,10 @@ export default {
|
|||
init() {
|
||||
const self = this;
|
||||
const rpm = (self.reportMsg = this.queryParams);
|
||||
console.log("1111111", rpm);
|
||||
|
||||
self.realRes = rpm.reportResult;
|
||||
self.pdSubType = rpm.pdSubType;
|
||||
const rsl = (self.sampleData = rpm.sampleList);
|
||||
|
||||
// 设置样本数据展示(正射需要额外设置)
|
||||
if (rpm.pdSubType === productSubTypeVal.ACS_ORTHOPHOTO) {
|
||||
let otgVal = [];
|
||||
|
@ -278,6 +275,7 @@ export default {
|
|||
self.realRes.otgVal = otgVal;
|
||||
}
|
||||
const md = rpm.metaData;
|
||||
|
||||
self.rpDataMsg = {
|
||||
satellite: md.satellite,
|
||||
load: md.load,
|
||||
|
@ -292,8 +290,10 @@ export default {
|
|||
centerPoint: "POINT(" + md.centerLon + "," + md.centerLat + ")",
|
||||
};
|
||||
},
|
||||
|
||||
// 生产报告
|
||||
exportPdf(rpm) {
|
||||
console.log(rpm,'rpm');
|
||||
const self = this;
|
||||
const asmo = rpm.orderMsg;
|
||||
const asmp = rpm.productMsg;
|
||||
|
@ -357,18 +357,18 @@ export default {
|
|||
category: category,
|
||||
categoryType: productTypeSplMap(self.pdSubType),
|
||||
product: productTypeMap(self.pdSubType),
|
||||
orderID: asmo.orderCode,
|
||||
orderID: rpm.orderId,
|
||||
reportMaker: rpm.userName,
|
||||
orderCreateTime: asmo.createDate,
|
||||
orderCreateTime: asmo.create_date,
|
||||
orderStartTime: crTime.startTime,
|
||||
orderEndTime: crTime.endTime,
|
||||
reportCreateTime: asmo.createDate,
|
||||
inspectorName: rpm.userName,
|
||||
productFileName: asmp.fileName,
|
||||
productFileName: asmo.fileName,
|
||||
resolution: asmm.resRatio + "",
|
||||
productCreateTime: asmp.collectDate,
|
||||
productCreateTime: asmo.productDate,
|
||||
coordinatSeystem: asmm.coordinateSys,
|
||||
sampleTimeRequest: asmo.queryStartTime + " - " + asmo.queryEndTime,
|
||||
sampleTimeRequest: asmo.simpleStartTime + " - " + asmo.simpleEndTime,
|
||||
sampleType: "点",
|
||||
sampleCount: rpm.sampleList.length + "",
|
||||
// areaLeftUp: asmm.minLon + "," + asmm.maxLat,
|
||||
|
@ -381,7 +381,7 @@ export default {
|
|||
sampleList: JSON.stringify(rpm.sampleList),
|
||||
inspectionResultList: iatResArr,
|
||||
imgData: this.base64Data,
|
||||
errorList: errorList,
|
||||
errorList:errorList,
|
||||
realList: realList,
|
||||
otgError: otgError,
|
||||
sampleImgFd: rpm.imgRes.sampleImgFd,
|
||||
|
@ -392,7 +392,8 @@ export default {
|
|||
load: asmm.load,
|
||||
pixelHandleMsg: rpm.pixelHandleMsg,
|
||||
projStr: rpm.projStr,
|
||||
sampleFun: rpm.sampleFun
|
||||
sampleFun: rpm.sampleFun,
|
||||
sampleNum: rpm.sampleNum,
|
||||
};
|
||||
this.qyReportMsg = pdfMsg;
|
||||
const pdfName = productTypeMap(self.pdSubType) + "报告";
|
||||
|
@ -509,7 +510,6 @@ export default {
|
|||
qyReportOpt["sampleUnit"] = this.sampleUintQy;
|
||||
qyReportOpt["sampleimgFd"] = qyReportOpt.sampleImgFd;
|
||||
otgPdfMsg(qyReportOpt).then(res=>{
|
||||
console.log(11111111,res);
|
||||
if(res.code == 200 && res.data =="保存成功") window.location.href = `${DAICHULI_URL}?token=${this.reportMsg.token}`;
|
||||
})
|
||||
break;
|
||||
|
@ -517,7 +517,6 @@ export default {
|
|||
case psVal.ACS_VEGETATIONPHENOLOGY:
|
||||
qyReportOpt["sampleimgFd"] = qyReportOpt.sampleImgFd;
|
||||
coverPdfMsg(qyReportOpt).then(res=>{
|
||||
console.log(11111111,res);
|
||||
if(res.code == 200 && res.data =="保存成功") window.location.href = `${DAICHULI_URL}?token=${this.reportMsg.token}`;
|
||||
})
|
||||
break;
|
||||
|
@ -533,7 +532,6 @@ export default {
|
|||
qyReportOpt["sampleUnit"] = this.sampleUintQy;
|
||||
qyReportOpt["sampleimgFd"] = qyReportOpt.sampleImgFd;
|
||||
otherPdfMsg(qyReportOpt).then(res=>{
|
||||
console.log(11111111,res);
|
||||
if(res.code == 200 && res.data =="保存成功") window.location.href = `${DAICHULI_URL}?token=${this.reportMsg.token}`;
|
||||
})
|
||||
break;
|
||||
|
|
|
@ -180,6 +180,7 @@ import {
|
|||
checkReality,
|
||||
resetCheck
|
||||
} from "@/api/lang/pendingOrder";
|
||||
|
||||
import qs from "qs";
|
||||
import html2canvas from "@/lib/html2canvas.js"
|
||||
import { productSubTypeVal, truthFunVal } from "@/lib/contract.js";
|
||||
|
@ -198,12 +199,14 @@ export default {
|
|||
this.configration.path.orderUnprocessed
|
||||
) {
|
||||
this.queryParams = this.$route.params;
|
||||
|
||||
} else {
|
||||
this.queryParams = JSON.parse(
|
||||
localStorage.getItem(this.configration.path.orderUnprocessed)
|
||||
);
|
||||
}
|
||||
document.body.scrollTop = 0;
|
||||
|
||||
this.initOrderPMsg();
|
||||
this.setTruthFunOpt();
|
||||
},
|
||||
|
@ -219,7 +222,7 @@ export default {
|
|||
truthFun: false,
|
||||
productSubType: undefined,
|
||||
featureMapData: [],
|
||||
orderId: undefined,
|
||||
orderId: null,
|
||||
userId: null,
|
||||
userName: null,
|
||||
token: null,
|
||||
|
@ -256,19 +259,23 @@ export default {
|
|||
initOrderPMsg() {
|
||||
let self = this;
|
||||
const am = (self.allMsg = this.queryParams);
|
||||
console.log(am,'am-----1111111111111111111');
|
||||
console.log(localStorage.userId, localStorage.userName);
|
||||
console.log(localStorage.getItem('userId'), localStorage.getItem('userName'));
|
||||
|
||||
|
||||
self.userId = localStorage.userId;
|
||||
self.userName = localStorage.userName;
|
||||
self.token = localStorage.token;
|
||||
// self.token = localStorage.token;
|
||||
const om = (self.orderMsg = self.allMsg.orderMsg);
|
||||
|
||||
self.orderId = om.orderId;
|
||||
const pdType = om.productSubClassId;
|
||||
self.productSubType = pdType;
|
||||
self.orderId = am.orderId;
|
||||
const pdType = om.productSubclassId;
|
||||
|
||||
self.productSubType = pdType;
|
||||
// self.featureMapData = om.landCoverTypeVOList;
|
||||
self.featureMapData = am.groudClassData;
|
||||
// self.featureMapData = pdType === 39 ? om.landCoverTypeVOList : JSON.parse(am.productMsg.microwaveDataJson).vegetationPhenology;
|
||||
|
||||
self.formInline = am.metaMsg;
|
||||
self.orderData = am.orderData;
|
||||
self.pixelNum = am.metaMsg.resRatio;
|
||||
|
@ -281,52 +288,34 @@ export default {
|
|||
];
|
||||
|
||||
const pm = (self.productMsg = am.productMsg);
|
||||
self.geoWorkSpace = pm.geoWorkspace;
|
||||
self.geoLayerName = pm.geoLayerName;
|
||||
self.geoWorkSpace = om.geoWorkspace;
|
||||
self.geoLayerName = om.layerName;
|
||||
// self.tifPath = pm.ftpPath;
|
||||
//由于空天院内网服务无法拉取外网资源,先改成内网资源访问
|
||||
let rt = pm.ftpPath.split('/');
|
||||
self.tifPath = 'http://10.0.31.125:18030/inspection/files/' + rt[rt.length - 1];
|
||||
self.projection = pm.projection;
|
||||
self.microwaveDataJson = self.productMsg.microwaveDataJson
|
||||
// 赋值真实性检验方法
|
||||
// getAnalyseMethod(self.orderId).then((res) => {
|
||||
// // console.log('真实性检验',res);
|
||||
// if (res.code === 200) {
|
||||
// let truthFun = res.data.default;
|
||||
// if (res.data.selected.length !== 0) truthFun = res.data.selected;
|
||||
// if (truthFun.length !== 0) {
|
||||
// const tfArr = [];
|
||||
// for (let i in truthFun) {
|
||||
// tfArr.push(truthFun[i].id);
|
||||
// }
|
||||
// self.formInline.truthCheckFun = tfArr;
|
||||
// self.truthFun = true;
|
||||
// }
|
||||
// }
|
||||
// });
|
||||
|
||||
self.tifPath = om.tifPath;
|
||||
self.projection = am.productMsg.coordinateSystem;
|
||||
self.microwaveDataJson = null;
|
||||
// 赋值像元级处理方法
|
||||
if (om.processMethods !== null) {
|
||||
const pm = om.processMethods;
|
||||
const pmVal = Object.keys(pm)[0];
|
||||
self.pixelFun = pmVal.toString();
|
||||
}
|
||||
if (self.pixelFun !== "") {
|
||||
self.pdShow = true;
|
||||
self.$store.commit("setPixelFun", self.pixelFun);
|
||||
}
|
||||
// if (om.processMethods !== null) {
|
||||
// const pm = om.processMethods;
|
||||
// const pmVal = Object.keys(pm)[0];
|
||||
// self.pixelFun = pmVal.toString();
|
||||
// }
|
||||
// if (self.pixelFun !== "") {
|
||||
// self.pdShow = true;
|
||||
// self.$store.commit("setPixelFun", self.pixelFun);
|
||||
// }
|
||||
|
||||
// 赋值样本抽样方法
|
||||
if (om.samplingMethodId !== null)
|
||||
self.sampleFun = om.samplingMethodId + "";
|
||||
if (self.sampleFun !== "") {
|
||||
self.$store.commit("setSampleFun", self.sampleFun);
|
||||
}
|
||||
// // 赋值样本抽样方法
|
||||
// if (om.samplingMethodId !== null)
|
||||
// self.sampleFun = om.samplingMethodId + "";
|
||||
// if (self.sampleFun !== "") {
|
||||
// self.$store.commit("setSampleFun", self.sampleFun);
|
||||
// }
|
||||
|
||||
if (om.samplingMethodCldId !== null) {
|
||||
self.sampleCldFun = om.samplingMethodCldId + "";
|
||||
}
|
||||
// if (om.samplingMethodCldId !== null) {
|
||||
// self.sampleCldFun = om.samplingMethodCldId + "";
|
||||
// }
|
||||
},
|
||||
tableRowClassName({ rowIndex }) {
|
||||
if ((rowIndex + 1) % 2 !== 0) {
|
||||
|
@ -366,10 +355,9 @@ export default {
|
|||
this.sampleList = smpVal.multipleSelection;
|
||||
// if (featureMapData !== [] || featureMapData.length !== 0)
|
||||
// this.updateCoverType(featureMapData);
|
||||
|
||||
const orderId = this.orderId;
|
||||
//真实性检验方法
|
||||
const tcf = this.formInline.truthCheckFun;
|
||||
|
||||
if (this.sampleList.length === 0) {
|
||||
this.$message.error("请选择样本数据");
|
||||
return false;
|
||||
|
@ -382,7 +370,7 @@ export default {
|
|||
const allSampleData = smpVal.allSampleData;
|
||||
this.addCotSamples(this.sampleList, allSampleData, orderId);
|
||||
//更新真实性检验方法
|
||||
this.updateTruthFun(orderId, tcf);
|
||||
// this.updateTruthFun(orderId, tcf);
|
||||
this.checkRealityWait = true;
|
||||
// setTimeout(() => {
|
||||
// this.screenCapture(this.sampleList, this.geoLayerPos).then(imgRes => {
|
||||
|
@ -393,7 +381,7 @@ export default {
|
|||
var formData = new FormData();
|
||||
formData.append("orderId", orderId); //订单ID
|
||||
formData.append("productType", this.productSubType); //产品类型
|
||||
formData.append("isHttpUrl", true); //产品路径
|
||||
formData.append("isHttpUrl", false); //产品路径
|
||||
formData.append("dataPath", this.tifPath); //产品路径
|
||||
formData.append("samples", JSON.stringify(this.sampleList)); //样本数据
|
||||
if (this.pixelFun !== "")
|
||||
|
@ -446,8 +434,13 @@ export default {
|
|||
imgRes: imgRes,
|
||||
pixelHandleMsg: pixelHandleMsg,
|
||||
projStr: res.projStr,
|
||||
sampleFun: theSampleFun
|
||||
sampleFun: theSampleFun,
|
||||
sampleNum: rm.sampleNum,
|
||||
simpleEndTime: this.orderMsg.simpleEndTime,
|
||||
simpleStartTime: this.orderMsg.simpleStartTime,
|
||||
};
|
||||
console.log(reportMsg,'reportMsg');
|
||||
|
||||
localStorage.setItem(
|
||||
this.configration.path.inspection,
|
||||
JSON.stringify(reportMsg)
|
||||
|
@ -469,22 +462,24 @@ export default {
|
|||
}
|
||||
});
|
||||
},
|
||||
|
||||
screenCapture(allSampel, gp) {
|
||||
return new Promise((resolve) => {
|
||||
const allLon = [], allLat = [];
|
||||
if (this.productSubType === productSubTypeVal.ACS_ORTHOPHOTO) {
|
||||
for (let i in allSampel) {
|
||||
allLon.push(allSampel[i].measureLong);
|
||||
allLat.push(allSampel[i].measureLat);
|
||||
allLon.push(allSampel[i].lon);
|
||||
allLat.push(allSampel[i].lat);
|
||||
}
|
||||
} else {
|
||||
for (let i in allSampel) {
|
||||
allLon.push(allSampel[i].lng);
|
||||
allLon.push(allSampel[i].lon);
|
||||
allLat.push(allSampel[i].lat);
|
||||
}
|
||||
}
|
||||
const sampleExtent = [Math.min(...allLon), Math.min(...allLat), Math.max(...allLon), Math.max(...allLat)]
|
||||
this.setViewToRect(sampleExtent[0], sampleExtent[1], sampleExtent[2], sampleExtent[3]);
|
||||
|
||||
setTimeout(() => {
|
||||
this.getCaptrue('样本放大').then(res => {
|
||||
this.setViewToRect(gp[0], gp[1], gp[2], gp[3]);
|
||||
|
@ -505,6 +500,7 @@ export default {
|
|||
}, 1000)
|
||||
})
|
||||
}, 1000)
|
||||
document.querySelector('.cesium-viewer-toolbar').style.display = 'block';
|
||||
})
|
||||
},
|
||||
getCaptrue(picName) {
|
||||
|
@ -574,7 +570,7 @@ export default {
|
|||
const dsForm = new FormData();
|
||||
dsForm.append("orderId", orderId);
|
||||
dsForm.append("idList", isDel);
|
||||
delSampleData(dsForm);
|
||||
// delSampleData(dsForm);
|
||||
},
|
||||
// 更新真实性检验方法
|
||||
updateTruthFun(orderId, tcf) {
|
||||
|
@ -691,6 +687,7 @@ export default {
|
|||
</script>
|
||||
|
||||
<style scoped lang="less">
|
||||
|
||||
.Fade-enter,
|
||||
.Fade-leave-to {
|
||||
opacity: 0;
|
||||
|
|
|
@ -289,8 +289,6 @@ export default {
|
|||
const orderId = (self.orderId = this.$route.query.orderId);
|
||||
const productId = (self.productId = this.$route.query.productId);
|
||||
const orderCode = (self.orderCode = this.$route.query.orderCode);
|
||||
console.log(orderId,productId,orderCode);
|
||||
|
||||
getOrderAndProduct(JSON.stringify({ productId: Number(productId), orderCode: orderCode })).then((res) => {
|
||||
function formatFileSize(bytes) {
|
||||
if (bytes === 0) return '0 B';
|
||||
|
@ -301,7 +299,6 @@ export default {
|
|||
}
|
||||
if (res.code === 200) {
|
||||
self.orderMsg = res.data;
|
||||
console.log(res.data,'1231321');
|
||||
|
||||
self.productType = res.data.productType;
|
||||
// const psId = res.data.productSubClassId;
|
||||
|
@ -309,10 +306,8 @@ export default {
|
|||
getProductMetaMsg(JSON.stringify({ dataPath: res.data.tifPath })).then((res) => {
|
||||
if (res.code === 200) {
|
||||
const pm = (self.productMsg = res.data);
|
||||
console.log(pm, 'pm');
|
||||
|
||||
const om = self.orderMsg;
|
||||
console.log(om, 'om');
|
||||
// 订单基本信息
|
||||
self.orderData = [];
|
||||
self.orderData.push({
|
||||
|
@ -323,14 +318,10 @@ export default {
|
|||
fileSize: formatFileSize(om.fileSize),
|
||||
fileFormat: om.fileFormat,
|
||||
});
|
||||
console.log(self.orderData, 'self.orderData');
|
||||
|
||||
const minLat = parseFloat(Number(pm.boundBoxMinY).toFixed(8));
|
||||
const maxLat = parseFloat(Number(pm.boundBoxMaxY).toFixed(8));
|
||||
const minLon = parseFloat(Number(pm.boundBoxMinX).toFixed(8));
|
||||
const maxLon = parseFloat(Number(pm.boundingBoxMaxX).toFixed(8));
|
||||
console.log(minLat, maxLat, minLon, maxLon, 'minLat,maxLat,minLon,maxLon');
|
||||
|
||||
// 元数据信息
|
||||
self.formInline = {
|
||||
satellite: om.satelliteName,
|
||||
|
@ -395,9 +386,11 @@ export default {
|
|||
},
|
||||
inspection() {
|
||||
let param = {
|
||||
userId: this.userId,
|
||||
userName: this.userName,
|
||||
token: this.token,
|
||||
// userId: this.userId,
|
||||
// userName: this.userName,
|
||||
// token: this.token,
|
||||
orderId: this.orderId,
|
||||
orderCode: this.orderCode,
|
||||
orderMsg: this.orderMsg,
|
||||
productMsg: this.productMsg,
|
||||
orderData: this.orderData,
|
||||
|
|
|
@ -165,7 +165,6 @@ export default {
|
|||
|
||||
// 适配完成产品
|
||||
// 土壤盐:153079 干涉形变:153086 干涉大气 153087 正射:152945
|
||||
console.log(orderMsg,1231232);
|
||||
// this.$router.push(`/orderUnprocessed?orderId=${orderMsg.id}&token=WEB*1719907102702@TY84_ZZX-gxfw001132_4ff8a6f9de7f4d37837ba22354972efb`);
|
||||
this.$router.push(`/orderUnprocessed?productId=${orderMsg.product_upload_id}&orderId=${orderMsg.id}&orderCode=${orderMsg.order_code}`);
|
||||
|
||||
|
|
Loading…
Reference in New Issue