feat(calculator): 营养计算结果返回校验规则集（test-0415 反馈2-1）

- NutritionCalculateResponse 新增 validations: List<ValidationRule>
- ValidationRule = { name, value, targetRange, status, reference }
- 当前覆盖 4 条核心规则：
  · BMI（WS/T 428-2013）
  · eGFR（KDIGO 2012 CKD 评估指南）
  · 蛋白质摄入量（KDOQI 2020，按是否透析切换 0.6-0.8 / 1.0-1.2 g/kg）
  · 能量摄入量（KDOQI 2020，30-35 kcal/kg）
- status: normal / below / above / unknown，前端可在结果页给徽标提示
- 用户/医生可据此核对推荐数值是否落在临床指南区间内

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

msh_crmeb_22/crmeb-common/src/main/java/com/zbkj/common/response/NutritionCalculateResponse.java

@@ -39,6 +39,9 @@ public class NutritionCalculateResponse implements Serializable {
     @ApiModelProperty(value = "重要提示列表")
     private List<String> importantTips;
 
+    @ApiModelProperty(value = "校验规则集（test-0415 反馈2-1）：暴露推荐计算所依据的临床指南范围，方便用户与医生核验")
+    private List<ValidationRule> validations;
+
     @ApiModelProperty(value = "创建时间")
     private LocalDateTime createdAt;
 
@@ -120,6 +123,31 @@ public class NutritionCalculateResponse implements Serializable {
         private List<Dish> dinner;
     }
 
+    /**
+     * 校验规则项（test-0415 反馈2-1）
+     * 让用户/医生可以一眼看出每个推荐数值落在哪个临床指南区间，是否「在范围内 / 偏低 / 偏高」
+     */
+    @Data
+    @ApiModel(description = "校验规则项")
+    public static class ValidationRule implements Serializable {
+        private static final long serialVersionUID = 1L;
+
+        @ApiModelProperty(value = "指标名称", example = "蛋白质摄入量")
+        private String name;
+
+        @ApiModelProperty(value = "当前推荐值", example = "0.8 g/kg")
+        private String value;
+
+        @ApiModelProperty(value = "目标范围", example = "0.6-0.8 g/kg")
+        private String targetRange;
+
+        @ApiModelProperty(value = "状态：normal / below / above / unknown", example = "normal")
+        private String status;
+
+        @ApiModelProperty(value = "参考依据", example = "KDOQI 2020 营养指南")
+        private String reference;
+    }
+
     /**
      * 菜品信息
      */

msh_crmeb_22/crmeb-service/src/main/java/com/zbkj/service/service/impl/tool/ToolCalculatorServiceImpl.java

@@ -644,10 +644,83 @@ public class ToolCalculatorServiceImpl extends ServiceImpl<V2CalculatorResultDao
         // 重要提示
         response.setImportantTips(importantTips);
 
+        // test-0415 反馈2-1：校验规则集——暴露每项推荐数值的临床指南范围与依据
+        response.setValidations(buildValidationRules(entity));
+
         // 创建时间
         response.setCreatedAt(entity.getCreatedAt());
 
         return response;
     }
+
+    /**
+     * 构建校验规则集
+     * 让用户/医生可以在结果页直接核对推荐数值与临床指南的对应关系
+     */
+    private List<NutritionCalculateResponse.ValidationRule> buildValidationRules(V2CalculatorResult e) {
+        List<NutritionCalculateResponse.ValidationRule> list = new ArrayList<>();
+
+        // 1) BMI：18.5–23.9 为正常（中国成人）
+        list.add(rule("BMI",
+                e.getBmi().toString(),
+                "18.5-23.9",
+                bmiStatus(e.getBmi()),
+                "中国成人 BMI 分类标准（WS/T 428-2013）"));
+
+        // 2) eGFR：CKD 分期参考 KDIGO 2012
+        list.add(rule("eGFR",
+                e.getEgfr().toString() + " ml/min/1.73m²",
+                ">90 (G1) / 60-89 (G2) / 30-59 (G3) / 15-29 (G4) / <15 (G5)",
+                "normal", // eGFR 本身不存在「越界」概念，由分期解释
+                "KDIGO 2012 CKD 评估和管理临床实践指南"));
+
+        // 3) 蛋白质摄入量：根据是否透析与 CKD 分期
+        BigDecimal proteinPerKg = e.getProteinIntake().divide(e.getStandardWeight(), 2, BigDecimal.ROUND_HALF_UP);
+        boolean isDialysis = e.getHasDialysis() != null && e.getHasDialysis() == 1;
+        String pTarget = isDialysis ? "1.0-1.2 g/kg" : "0.6-0.8 g/kg";
+        BigDecimal pMin = isDialysis ? new BigDecimal("1.0") : new BigDecimal("0.6");
+        BigDecimal pMax = isDialysis ? new BigDecimal("1.2") : new BigDecimal("0.8");
+        list.add(rule("蛋白质摄入量",
+                proteinPerKg + " g/kg（共 " + e.getProteinIntake() + " g）",
+                pTarget,
+                rangeStatus(proteinPerKg, pMin, pMax),
+                isDialysis ? "KDOQI 2020 透析患者营养指南" : "KDOQI 2020 非透析 CKD 营养指南"));
+
+        // 4) 能量摄入量：30-35 kcal/kg/day
+        BigDecimal energyPerKg = new BigDecimal(e.getEnergyIntake())
+                .divide(e.getStandardWeight(), 2, BigDecimal.ROUND_HALF_UP);
+        list.add(rule("能量摄入量",
+                energyPerKg + " kcal/kg（共 " + e.getEnergyIntake() + " kcal）",
+                "30-35 kcal/kg",
+                rangeStatus(energyPerKg, new BigDecimal("30"), new BigDecimal("35")),
+                "KDOQI 2020 营养指南"));
+
+        return list;
+    }
+
+    private NutritionCalculateResponse.ValidationRule rule(String name, String value, String targetRange,
+                                                           String status, String reference) {
+        NutritionCalculateResponse.ValidationRule r = new NutritionCalculateResponse.ValidationRule();
+        r.setName(name);
+        r.setValue(value);
+        r.setTargetRange(targetRange);
+        r.setStatus(status);
+        r.setReference(reference);
+        return r;
+    }
+
+    private String bmiStatus(BigDecimal bmi) {
+        if (bmi == null) return "unknown";
+        if (bmi.compareTo(new BigDecimal("18.5")) < 0) return "below";
+        if (bmi.compareTo(new BigDecimal("23.9")) > 0) return "above";
+        return "normal";
+    }
+
+    private String rangeStatus(BigDecimal value, BigDecimal min, BigDecimal max) {
+        if (value == null) return "unknown";
+        if (value.compareTo(min) < 0) return "below";
+        if (value.compareTo(max) > 0) return "above";
+        return "normal";
+    }
 }