商品可见度2

src/main/java/com/caimei/www/controller/unlimited/HomeController.java

@@ -78,11 +78,13 @@ public class HomeController extends BaseController {
      * 首页推荐专区
      * @return
      */
+/*
     @GetMapping("/home/recommend")
     @ResponseBody
     public JsonModel<List<ProductList>> getRecommendProducts() {
         return homeService.getRecommendProducts();
     }
+*/
 
     /**
      * 首页楼层专题数据

src/main/resources/config/dev/application-dev.yml

@@ -4,12 +4,12 @@ spring:
   #数据源连接--start
   datasource:
     #driverClassName: com.mysql.jdbc.Driver
-    url: jdbc:mysql://192.168.2.100:3306/caimei?characterEncoding=UTF8&serverTimezone=Asia/Shanghai
-    username: developer
-    password: 05bZ/OxTB:X+yd%1
-#    url: jdbc:mysql://119.29.0.46:3306/caimei?characterEncoding=UTF8&serverTimezone=Asia/Shanghai
-#    username: general
-#    password: 6#xsI%b4o@5c3RoE
+#    url: jdbc:mysql://192.168.2.100:3306/caimei?characterEncoding=UTF8&serverTimezone=Asia/Shanghai
+#    username: developer
+#    password: 05bZ/OxTB:X+yd%1
+    url: jdbc:mysql://119.29.0.46:3306/caimei?characterEncoding=UTF8&serverTimezone=Asia/Shanghai
+    username: general
+    password: 6#xsI%b4o@5c3RoE
     # Hikari will use the above plus the following to setup connection pooling
     type: com.zaxxer.hikari.HikariDataSource
     hikari:
@@ -53,7 +53,8 @@ logging:
 # 服务域名
 caimei:
   siteEnv: 0 #网站环境，（2：正式环境，1：测试环境，0：开发环境）
-  spiServer: https://spi-b.caimei365.com
+  # spiServer: https://spi-b.caimei365.com
+  spiServer: http://localhost:8008
   imageDomain: https://img-b.caimei365.com
   wwwDomain: https://www-b.caimei365.com
 

src/main/resources/static/js/index.js

@@ -55,7 +55,7 @@ var homeData = new Vue({
         },
         getRecommends: function(){
             var _self = this;
-            $.getJSON("/home/recommend").done(function (r) {
+            $.getJSON(spiServer+"/home/recommend").done(function (r) {
                 if (r.code === 0 && r.data) {
                     _self.recommends = r.data;
                     _self.recommendPage = Math.ceil(r.data.length / 4);