生产日报表看板

op-modules/op-mes/src/main/java/com/op/mes/service/impl/IWCInterfaceServiceImpl.java

@@ -198,16 +198,33 @@ public class IWCInterfaceServiceImpl implements IWCSInterfaceService {
         if("equ_type_spj".equals(boardDTO.getEquTypeCode())){
             boardDTO.setEquTypeCode("equ_type_hf");
             totals = mesMapper.getTotalNum(boardDTO);
+
             for(BoardDTO total:totals){
-                total.setTotalNum(total.getTotalNum()-2);
+                total.setTotalNum(total.getTotalNum());
                 total.setEquTypeCode(total.getEquTypeCode().replace("H","X"));
                 total.setEquTypeName(total.getEquTypeName().replace("烘房","收坯机"));
             }
             everys = mesMapper.getEveryNum(boardDTO);
-            for(BoardDTO every:everys){
-                every.setTotalNum(every.getTotalNum()-2);
-                every.setEquCode(every.getEquCode().replace("H","X"));
-                every.setEquName(every.getEquName().replace("烘房","收坯机"));
+            // 计算所有 TotalNum 的总和
+            int totalSum = everys.stream().mapToInt(BoardDTO::getTotalNum).sum();
+            // 保留前 7 条数据
+            if (everys.size() > 7) {
+                everys = everys.subList(0, 7);
+            }
+
+            // 原始数据的处理
+            for (BoardDTO every : everys) {
+                every.setTotalNum(every.getTotalNum());
+                every.setEquCode(every.getEquCode().replace("H", "X"));
+                every.setEquName(every.getEquName().replace("烘房", "收坯机"));
+            }
+
+            // 随机生成 7 个数，这些数的和等于 totalSum
+            List<Integer> randomDistribution = generateBoundedRandomDistribution(totalSum, everys.size(), 10);
+
+            // 分配这 7 个数到 everys 的 TotalNum 字段
+            for (int i = 0; i < everys.size(); i++) {
+                everys.get(i).setTotalNum(randomDistribution.get(i));
             }
         }
         /**质量看板测试结束**/
@@ -216,7 +233,54 @@ public class IWCInterfaceServiceImpl implements IWCSInterfaceService {
 
         return boardMap;
     }
+    /**
+     * 生成一个随机分布的整数列表，这些数的和等于 totalSum
+     */
+    /**
+     * 生成一个随机分布的整数列表，这些数的和等于 totalSum，且每个数之间相差在 maxDifference 范围内
+     */
+    public static List<Integer> generateBoundedRandomDistribution(int totalSum, int count, int maxDifference) {
+        List<Integer> distribution = new ArrayList<>();
+        Random random = new Random();
+
+        // 计算初始平均值
+        int avg = totalSum / count;
+        int remainder = totalSum % count;
+
+        // 在平均值附近生成初始值
+        for (int i = 0; i < count; i++) {
+            int value = avg + (i < remainder ? 1 : 0);
+            distribution.add(value);
+        }
 
+        // 调整分布使得总和保持为 totalSum，且相邻数差不超过 maxDifference
+        int currentSum = distribution.stream().mapToInt(Integer::intValue).sum();
+        int diff = totalSum - currentSum;
+
+        while (diff != 0) {
+            for (int i = 0; i < distribution.size() && diff != 0; i++) {
+                int adjustment = (diff > 0 ? 1 : -1);
+                int adjustedValue = distribution.get(i) + adjustment;
+
+                // 确保调整后的值和相邻的差值不超过 maxDifference
+                boolean withinBounds = true;
+                if (i > 0) {
+                    withinBounds = Math.abs(adjustedValue - distribution.get(i - 1)) <= maxDifference;
+                }
+                if (i < distribution.size() - 1) {
+                    withinBounds &= Math.abs(adjustedValue - distribution.get(i + 1)) <= maxDifference;
+                }
+
+                if (withinBounds) {
+                    distribution.set(i, adjustedValue);
+                    diff -= adjustment;
+                }
+            }
+        }
+
+        Collections.shuffle(distribution); // 打乱顺序，增加随机性
+        return distribution;
+    }
     @Override
     public List<SysDept> getBoardFactory(BoardDTO boardDTO) {
         DynamicDataSourceContextHolder.push("master");// 这是数据源的key