提交流程

src/views/ebiz/agentEenter/AgentEenterBasicImage.vue

@@ -190,7 +190,7 @@ export default {
               }
               switch (item.subBusinessType) {
                 case '3': // 申请人
-                  this.fileListBank01 = [{ url: config.imgDomain + `/returnImageStream?a=b.jpg&imgPath=${item.rgssUrl}` }]
+                  this.fileListBank01 = [{ url: config.imgDomain + `/returnImageStream?a=b.jpg&imgPath=${item.rgssUrl}` },{ url: config.imgDomain + `/returnImageStream?a=b.jpg&imgPath=${item.rgssUrl}` }]
                   break
                 case '4': //  担保人
                   this.fileListBank06 = [{ url: config.imgDomain + `/returnImageStream?a=b.jpg&imgPath=${item.rgssUrl}` }]
@@ -289,6 +289,7 @@ export default {
 
           let obj = {
             imageInfoType: imageInfoType,
+            subBusinessType:subBusinessType,
             fileName: that.imgName,
             rgssUrl: encodeURI(res.path).replace(/\+/g, '%2B')
           }

src/views/ebiz/agentEenter/AgentEenterBasicInfor.vue

@@ -405,6 +405,8 @@ export default {
             this.userInfo.age = idToData(this.userInfo.idNo).age
             this.userInfo.sex = idToData(this.userInfo.idNo).sex
           }
+          this.userInfo.bankName='工商银行'
+          this.userInfo.nationality='CHN'
         }
       })
     },

src/views/ebiz/agentEenter/share/ShareInfo.vue

@@ -103,9 +103,9 @@ export default {
       valueKey: 'text',
       census: '', //户籍
       recommender: {
-        name: '推荐人姓名',
+        name: '--',
-        agentGrade: '推荐人职级',
+        agentGrade: '--',
-        unitName: '所属团队'
+        unitName: '--'
       },
       agentGrade: '',
       userInfo: {
@@ -172,9 +172,9 @@ export default {
         .then(function(response) {
           self.$toast.clear()
           console.log('response', response)
-          if (response.data.code == 0) {
+          if (response.data.code == '0') {
             console.log('response.data.content', response.data.content)
-            if (response.data.content.result == 0) {
+            if (response.data.content.result == '0') {
               self.recommender = response.data.content
               DataDictionary.agentGrade.map((item, index) => {
                 for (var key in item) {