修改Energy Calibration交互逻辑

src/views/spectrumAnalysis/components/Modals/BetaGammaModals/BetaGammaEnergyCalibrationModal/components/GammaDetectorCalibration.vue

@@ -95,9 +95,9 @@
                   <span>C to E : </span>
                   <span>
                     E =
-                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramA" /> +
+                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramA" @change="newCalibrationFuncModelChange()"/> +
-                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramB" /> *C +
+                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramB" @change="newCalibrationFuncModelChange()"/> *C +
-                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramC" /> *C <sup>2</sup>
+                    <a-input-number size="small" v-model="newCalibrationFuncModel.paramC" @change="newCalibrationFuncModelChange()"/> *C <sup>2</sup>
                   </span>
                 </p>
                 <div class="func">
@@ -154,6 +154,7 @@ import { exportEchartImg, getXAxisAndYAxisByPosition, splitAxis } from '@/utils/
 import { cloneDeep } from 'lodash'
 import { isNullOrUndefined } from '@/utils/util'
 import SampleDataMixin from '@/views/spectrumAnalysis/SampleDataMixin'
+import { f } from 'vue-area-linkage'
 
 const initialGammaSpectrumChartOption = {
   grid: {
@@ -571,6 +572,11 @@ export default {
         energy,
       })
 
+      // add之后 需要清空chart黄色的线 20231028：Xiao
+      if(this.figureChartOption.series[1].data) {
+        this.figureChartOption.series[1].data = []
+      }
+
       this.figureChartOption.series[1].markPoint.data.push({ xAxis: channel, yAxis: energy })
 
       const { min, max } = this.getFigureChartMaxAndMin()
@@ -593,6 +599,18 @@ export default {
 
       this.isInverse = true
     },
+    // 输入框发生变化
+    newCalibrationFuncModelChange(val,a) {
+      // 输入内容的时候 需要清空table数据 20231028：Xiao
+      this.list = []
+      // 需要清空chart黄色的线 20231028：Xiao
+      if(this.figureChartOption.series[1].data) {
+        this.figureChartOption.series[1].data = []
+      }
+      if(this.figureChartOption.series[1].markPoint.data) {
+        this.figureChartOption.series[1].markPoint.data = []
+      }
+    },
 
     // 删除表格里的单项
     handleDel(index) {
@@ -634,15 +652,20 @@ export default {
     // 点击Fitting按钮执行重新计算
     async handleFitting() {
       const hasEmpty = Object.entries(this.newCalibrationFuncModel).some(([_, v]) => !v)
-      if (hasEmpty) {
+      if (hasEmpty && this.list.length < 3) {
         return
       }
       try {
         const { success, result, message } = await postAction('/spectrumAnalysis/fitting', {
           ...this.newCalibrationFuncModel,
-          tempPoints: this.isFirstFitting
+          // 修改逻辑，如果列表中有数据 以列表的数据优先进行分析 20231028：Xiao
-            ? this.oldScatterSeries
+          tempPoints: this.list.length > 0
-            : this.list.map((item) => ({ x: item.channel, y: item.energy })),
+            ? this.list.map((item) => ({ x: item.channel, y: item.energy }))
+            : this.oldScatterSeries,
+            
+            // tempPoints: this.isFirstFitting
+            // ? this.oldScatterSeries
+            // : this.list.map((item) => ({ x: item.channel, y: item.energy })),
           count: this.isFirstFitting || !this.isInverse ? undefined : this.count,
         })
         if (success) {