feat: Performance dateLabel done.
This commit is contained in:
chiayin
@@ -82,7 +82,7 @@ import LoadingStore from '@/stores/loading.js';
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import PerformanceStore from '@/stores/performance.js';
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import StatusBar from '@/components/Discover/StatusBar.vue';
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import { setLineChartData } from '@/module/setChartData.js';
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import { simpleTimeLabel, followTimeLabel } from '@/module/timeLabel.js';
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import { simpleTimeLabel, followTimeLabel, dateLabel } from '@/module/timeLabel.js';
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export default {
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setup() {
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@@ -118,7 +118,7 @@ export default {
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data: {
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"time": {
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"avg_cycle_time": { "data": [ { "x": "2022-01-21T03:22:13.850000", "y": 980217.631579 }, { "x": "2022-02-26T08:13:51.550000", "y": 1000370.354839 }, { "x": "2022-04-03T13:05:29.250000", "y": 91198.291667 }, { "x": "2022-05-09T17:57:06.950000", "y": 10418.814815 }, { "x": "2022-06-14T22:48:44.650000", "y": 85414.78125 }, { "x": "2022-07-21T03:40:22.350000", "y": 938087.73913 }, { "x": "2022-08-26T08:32:00.050000", "y": 174683.238095 }, { "x": "2022-10-01T13:23:37.750000", "y": 61845.913043 }, { "x": "2022-11-06T18:15:15.450000", "y": 970119.423077 }, { "x": "2022-12-12T23:06:53.150000", "y": 60694.769231 } ], "x_axis": { "min": "2022-01-03T00:56:25", "max": "2022-12-31T01:32:42" }, "y_axis": { "min": 0, "max": 1074683.238095 } },
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"avg_cycle_efficiency": { "data": [ { "x": "2022-01-21T03:22:13.850000", "y": 0.952810727062303 }, { "x": "2022-02-26T08:13:51.550000", "y": 0.8516609459556336 }, { "x": "2022-04-03T13:05:29.250000", "y": 0.04 }, { "x": "2022-05-09T17:57:06.950000", "y": 0.653723238628633 }, { "x": "2022-06-14T22:48:44.650000", "y": 0.5529137699582065 }, { "x": "2022-07-21T03:40:22.350000", "y": 0.4489519596406311 }, { "x": "2022-08-26T08:32:00.050000", "y": 0.6538608171463852 }, { "x": "2022-10-01T13:23:37.750000", "y": 0.7548918755379221 }, { "x": "2022-11-06T18:15:15.450000", "y": 0.8469898402743924 }, { "x": "2022-12-12T23:06:53.150000", "y": 0.9505515680779113 } ], "x_axis": { "min": "2022-01-03T00:56:25", "max": "2022-12-31T01:32:42" }, "y_axis": { "min": 0, "max": 1 } },
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"avg_cycle_efficiency": { "data": [ { "x": "2022-01-21T03:22:13.850000", "y": 0.952810727062303 }, { "x": "2022-04-22T08:13:51.550000", "y": 0.8516609459556336 }, { "x": "2022-04-23T13:05:29.250000", "y": 0.04 }, { "x": "2022-05-09T17:57:06.950000", "y": 0.653723238628633 }, { "x": "2022-06-14T22:48:44.650000", "y": 0.5529137699582065 }, { "x": "2022-07-21T03:40:22.350000", "y": 0.4489519596406311 }, { "x": "2022-08-26T08:32:00.050000", "y": 0.6538608171463852 }, { "x": "2022-10-01T13:23:37.750000", "y": 0.7548918755379221 }, { "x": "2022-10-06T18:15:15.450000", "y": 0.8469898402743924 }, { "x": "2023-02-01T23:06:53.150000", "y": 0.9505515680779113 } ], "x_axis": { "min": "2022-01-03T00:56:25", "max": "2023-02-10T01:32:42" }, "y_axis": { "min": 0, "max": 1 } },
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"avg_process_time": { "data": [ { "x": "2022-01-21T03:22:13.850000", "y": 937071.842105 }, { "x": "2022-02-26T08:13:51.550000", "y": 953769.903226 }, { "x": "2022-04-03T13:05:29.250000", "y": 865759.25 }, { "x": "2022-05-09T17:57:06.950000", "y": 994603.814815 }, { "x": "2022-06-14T22:48:44.650000", "y": 939812.375 }, { "x": "2022-07-21T03:40:22.350000", "y": 890924.565217 }, { "x": "2022-08-26T08:32:00.050000", "y": 1026333.285714 }, { "x": "2022-10-01T13:23:37.750000", "y": 1016383.608696 }, { "x": "2022-11-06T18:15:15.450000", "y": 923610.730769 }, { "x": "2022-12-12T23:06:53.150000", "y": 1011539.653846 } ], "x_axis": { "min": "2022-01-03T00:56:25", "max": "2022-12-31T01:32:42" }, "y_axis": { "min": 0, "max": 1026333.285714 } },
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"avg_process_time_by_task": { "data": [ { "x": "a", "y": 131148.320856 }, { "x": "b", "y": 136626.705882 }, { "x": "c", "y": 133260.041667 }, { "x": "d", "y": 132695.481328 }, { "x": "e", "y": 124443.590361 }, { "x": "f", "y": 127175.068273 }, { "x": "g", "y": 127628.964427 }, { "x": "h", "y": 128165.104294 }, { "x": "i", "y": 125586.248649 }, { "x": "j", "y": 101297.681818 }, { "x": "k", "y": 142538.479167 }, { "x": "l", "y": 138069.642857 } ], "x_axis": { "labels": [ "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l" ] }, "y_axis": { "min": 0, "max": 142538.479167 } },
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"avg_waiting_time": { "data": [ { "x": "2022-01-21T03:22:13.850000", "y": 43145.789474 }, { "x": "2022-02-26T08:13:51.550000", "y": 46600.451613 }, { "x": "2022-04-03T13:05:29.250000", "y": 46227.041667 }, { "x": "2022-05-09T17:57:06.950000", "y": 47262 }, { "x": "2022-06-14T22:48:44.650000", "y": 45602.40625 }, { "x": "2022-07-21T03:40:22.350000", "y": 47163.173913 }, { "x": "2022-08-26T08:32:00.050000", "y": 48349.952381 }, { "x": "2022-10-01T13:23:37.750000", "y": 45462.304348 }, { "x": "2022-11-06T18:15:15.450000", "y": 46508.692308 }, { "x": "2022-12-12T23:06:53.150000", "y": 49155.115385 } ], "x_axis": { "min": "2022-01-03T00:56:25", "max": "2022-12-31T01:32:42" }, "y_axis": { "min": 0, "max": 49155.115385 } },
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@@ -182,6 +182,7 @@ export default {
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displayColors: false,
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callbacks: {
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title: function(context) {
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console.log(context);
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return getMoment(context[0].parsed.x);
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},
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label: function(context) {
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@@ -260,11 +261,14 @@ export default {
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};
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},
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getAvgCycleEfficiency() {
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let data = this.data.time.avg_cycle_efficiency;
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const data = this.data.time.avg_cycle_efficiency;
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const maxX = data.x_axis.max;
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const minX = data.x_axis.min;
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const getMoment = (time)=> this.$moment(time).format('YYYY/M/D hh:mm:ss');
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const getDateLabel = dateLabel;
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let datasets = data.data;
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const getMoment = (time)=> {
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return this.$moment(time).format('YYYY/M/D hh:mm:ss')
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};
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let xData;
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let yData;
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datasets = datasets.map(value => {
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return {
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@@ -272,12 +276,15 @@ export default {
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y: value.y * 100
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}
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}); // 轉為百分比
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xData = datasets.map(i => i.x);
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yData = datasets.map(i => i.y)
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this.avgCycleEfficiencyData = {
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labels: xData,
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datasets: [
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{
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label: 'Cycle Efficiency',
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data: datasets,
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data: yData,
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backgroundColor: '#0099FF'
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}
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]
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@@ -329,6 +336,15 @@ export default {
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ticks: {
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display: true,
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color: '#64748b',
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callback: function(v, i, t) {
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// console.log(v);
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// console.log(i);
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// console.log(t[0]);
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let label = xData[i]
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console.log(label);
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return getDateLabel(label, maxX, minX)
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// return v
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}
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},
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border: {
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color: '#64748b',
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@@ -361,23 +377,28 @@ export default {
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},
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getAvgProcessTimeByTask() {
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const data = this.data.time.avg_process_time_by_task;
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let datasets = data.data;
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const maxY = data.y_axis.max;
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const xData = data.x_axis.labels;
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const getSimpleTimeLabel = simpleTimeLabel;
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const getFollowTimeLabel = followTimeLabel;
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// 大到小排序
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data.data.sort((a, b) => b.y - a.y);
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const xData = data.data.map(item => item.x);
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const yData = data.data.map(item => item.y);
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this.avgProcessTimeByTaskData = {
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labels: xData,
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datasets: [
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{
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label: 'Average Processing Time by Activity',
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data: datasets,
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data: yData,
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backgroundColor: '#0099FF',
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indexAxis: 'y',
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}
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]
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};
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this.avgProcessTimeByTaskOptions = {
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indexAxis: 'y',
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responsive: true,
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maintainAspectRatio: false,
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layout: {
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@@ -393,7 +414,7 @@ export default {
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displayColors: false,
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callbacks: {
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label: function(context) {
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return `Processing time: ${getSimpleTimeLabel(context.parsed.y, 2)}`;
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return `Processing time: ${getSimpleTimeLabel(context.parsed.x, 2)}`;
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}
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},
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},
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@@ -423,15 +444,23 @@ export default {
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},
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ticks: {
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display: true,
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// maxRotation: 0, // 不旋轉 lable 0~50
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maxRotation: 0, // 不旋轉 lable 0~50
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color: '#64748b',
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callback: function (value, index, ticks) {
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return getFollowTimeLabel(value, maxY, 1)
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}
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},
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grid: {
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// display:false,
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color: '#64748b',
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},
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border: {
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color: '#64748b',
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display:false,
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},
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},
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y: {
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// beginAtZero: true, // scale 包含 0
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beginAtZero: true, // scale 包含 0
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type: 'category',
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title: {
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display: true,
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text: 'Processing time',
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@@ -444,11 +473,9 @@ export default {
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ticks:{
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color: '#64748b',
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padding: 8,
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callback: function (value, index, ticks) {
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return getFollowTimeLabel(value, maxY, 1)
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}
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},
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grid: {
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display:false,
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color: '#64748b',
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},
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border: {
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