我有以下的工作情况 -注视着一个NG-模型和NG-重复应用切换到另一个NG-模式
在HTML中,我使用ng-repeat
API响应填充表数据。表格中有两个不同的列,分别具有不同的ng-model
s。一列将有从响应中获得的数据,而另一列在表加载时将是空白的。
我在找的是当用户在第二列输入一些值并保存数据时,数据应该反映在第一列。
我在循环中使用了$watch
,但显然在循环的最后一次迭代中获得的值被存储并反映在第一列中。我也看了成watchGroup但有效期为角版本1.3及以上,而我使用的版本为1.1
HTML -
<div ng-repeat="data in response">
<table>
<tr ng-repeat="dt in data track by $index">
<td>
<input id="oldValue_{{$index}}" ng-model="dt.oldValue[$index]" />
</td>
<td>
<input id="newValue_{{$index}}" ng-model="newValue[$index]" />
</td>
<td>
{{dt.otherData}}
</td>
</tr>
</table>
</div>
<div>
<button type="button" class="btn btn-primary" value="save" ng-click="saveData()">Save</button>
<button type="button" class="btn btn-primary" value="save" ng-click="cancel()">Cancel</button>
</div>
控制器 -
angular.module("MyApp",[])
.controller("MyCtrl",[]);
function MyCtrl() {
$scope.saveData = function() {
for(var i=0; i<$scope.response.length; i++) {
for(var j=0: j<$scope.response[i].innerData.length; j++) {
var oldData = document.getElementById("oldValue_"+j).value;
var newData = document.getElementById("newValue_"+j).value;
if(newData > 0) {
$scope.$watch('newValue['+j+']', function(newVal) {
$scope.dt.oldValue[j] = newVal;
},true);
}
}
}
}
}
这里是一个图像给出一个简要的想法 -
编辑 -
响应JSON对象是这样(场sselected - measurementData是显示在第一列中的一个) -
另外的响应是这样 -
{
"id": 1,
"OuterData": [
{
"InnerId": 4,
"InnerData": [
{
"CollectionId": 35,
"CollectionData": [
{
"DataId": 81,
"CoreData": [
{
"quantityUnitName": "Unit_1",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-29T14:57:42Z",
"measurementData": 400.0
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_1",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 521103.0
},
{
"quantityUnitName": "Unit_1",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 24814.428571428572
}
]
},
{
"CollectionId": 24,
"CollectionData": [
{
"DataId": 58,
"CoreData": [
{
"quantityUnitName": "Unit_2",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-26T08:50:00Z",
"measurementData": 9925.0
}
]
},
{
"DataId": 57,
"CoreData": [
{
"quantityUnitName": "Unit_2",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-26T08:50:00Z",
"measurementData": 46285.0
}
]
},
{
"DataId": 56,
"CoreData": [
{
"quantityUnitName": "Unit_2",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-26T08:50:00Z",
"measurementData": 13465.0
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_2",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 1561344.0
},
{
"quantityUnitName": "Unit_2",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 21685.333333333332
}
]
},
{
"CollectionId": 30,
"CollectionData": [
{
"DataId": 76,
"CoreData": [
{
"quantityUnitName": "Unit_3",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-03-21T14:00:00Z",
"measurementData": 16370.0
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_3",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 301720.0
},
{
"quantityUnitName": "Unit_3",
"quantityUnitSymbol": "UnitSymbol_1",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 15086.0
}
]
}
]
},
{
"InnerId": 3,
"InnerData": [
{
"CollectionId": 20,
"CollectionData": [
{
"DataId": 40,
"CoreData": [
{
"quantityUnitName": "Unit_4",
"quantityUnitSymbol": "UnitSymbol_2",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-01T10:39:00Z",
"measurementData": 0.0
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_4",
"quantityUnitSymbol": "UnitSymbol_2",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 0.0
},
{
"quantityUnitName": "Unit_4",
"quantityUnitSymbol": "UnitSymbol_2",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 0.0
}
]
},
{
"CollectionId": 18,
"CollectionData": [
{
"DataId": 35,
"CoreData": [
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-18T11:05:22Z",
"measurementData": 0.001135
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 0.001135
},
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 0.001135
}
]
},
{
"CollectionId": 40,
"CollectionData": [
{
"DataId": 36,
"CoreData": [
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-18T11:05:22Z",
"measurementData": 1.132728
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 1.132728
},
{
"quantityUnitName": "Unit_5",
"quantityUnitSymbol": "UnitSymbol_3",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 1.132728
}
]
},
{
"CollectionId": 10,
"CollectionData": [
{
"DataId": 2,
"CoreData": [
{
"quantityUnitName": "Unit_6",
"quantityUnitSymbol": "UnitSymbol_4",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2017-04-14T01:29:00Z",
"measurementData": 120.0
}
]
}
],
"ExtraData": [
{
"quantityUnitName": "Unit_6",
"quantityUnitSymbol": "UnitSymbol_4",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 15508.363130715883
},
{
"quantityUnitName": "Unit_6",
"quantityUnitSymbol": "UnitSymbol_4",
"dataUpdateDateTime": "2017-04-27T05:28:11Z",
"lastReadingDateTime": "2016-05-01T00:01:40Z",
"measurementData": 1.2595113401052451
}
]
}
]
}
]
}
是否为用户NG-模型2列中的每一行进入价值?这是相应的反映 –
你可以给$ scope.response对象 –
@JinsPeter它不需要输入每行,这一切都取决于用户。另外,我在图像中显示的表格是一小部分,我的实际案例有40多行。 假设用户在不同的行输入10个值,例如。行 - 1到5,10,15到18,那么这些数据应该反映到相应行的第一列。 为$ scope.response对象,它的一个API调用响应和对象太大而无法在此共享。还是让我试着分享一个紧凑版本的回复。 – HardikT