--- a/app/terminal/service/analysis/Analysis.php
+++ b/app/terminal/service/analysis/Analysis.php
@@ -18,9 +18,22 @@
 use app\terminal\service\meal\Meal;
 use app\common\service\BaseService;
 use app\store\service\store\User as StoreUserService;
+use app\common\service\FixedScaleDecimalResponse;
+use app\common\database\Dm;
+use think\facade\Db;
 
 class Analysis extends BaseService
 {
+    // Source DECIMAL(10,2) direct projections; missing columns retain original numeric zero.
+    private static function decimalProjection(array $row, string $field)
+    {
+        $value = $row[$field] ?? 0;
+        if (!isset($row[$field]) || !(Db::connect() instanceof Dm)
+            || (!is_int($value) && !is_float($value))) {
+            return $value;
+        }
+        return FixedScaleDecimalResponse::fields([$field => $value], [$field])[$field];
+    }
     // 推荐早午晚营养类型字段
     private $nurtirtion_type = [
         1 => [
@@ -110,23 +123,23 @@
             'is_delete' => 0,
             'meal_date' => $lastMeal['meal_date'],],
             '*');
-        $data['energy']['reality'] = $current_meal['energy'] ?? 0;
-        $data['energy']['recommend'] = $recommend_meal[$this->nurtirtion_type[$lastMeal['meal_times']][0]] ?? 0;
+        $data['energy']['reality'] = self::decimalProjection($current_meal, 'energy');
+        $data['energy']['recommend'] = self::decimalProjection($recommend_meal, $this->nurtirtion_type[$lastMeal['meal_times']][0]);
         $energy_res = Algorithm::divScale($data['energy']['reality'],$data['energy']['recommend']);
         $data['energy']['ratio'] = !empty($energy_res) ? round($energy_res * 100,2) : 0;
         $data['energy']['evaluate'] = isset($score_array[1]) ? $score_array[1]['evaluate'] : 0;
-        $data['carbohydrate']['reality'] = $current_meal['carbohydrate'] ?? 0;
-        $data['carbohydrate']['recommend'] = $recommend_meal[$this->nurtirtion_type[$lastMeal['meal_times']][1]] ?? 0;
+        $data['carbohydrate']['reality'] = self::decimalProjection($current_meal, 'carbohydrate');
+        $data['carbohydrate']['recommend'] = self::decimalProjection($recommend_meal, $this->nurtirtion_type[$lastMeal['meal_times']][1]);
         $carbohydrate_res = Algorithm::divScale($data['carbohydrate']['reality'],$data['carbohydrate']['recommend']);
         $data['carbohydrate']['ratio'] = !empty($carbohydrate_res) ? round($carbohydrate_res * 100,2) : 0;
         $data['carbohydrate']['evaluate'] = isset($score_array[2]) ? $score_array[2]['evaluate'] : 0;
-        $data['protein']['reality'] = $current_meal['protein'] ?? 0;
-        $data['protein']['recommend'] = $recommend_meal[$this->nurtirtion_type[$lastMeal['meal_times']][2]] ?? 0;
+        $data['protein']['reality'] = self::decimalProjection($current_meal, 'protein');
+        $data['protein']['recommend'] = self::decimalProjection($recommend_meal, $this->nurtirtion_type[$lastMeal['meal_times']][2]);
         $protein_res = Algorithm::divScale($data['protein']['reality'],$data['protein']['recommend']);
         $data['protein']['ratio'] = !empty($protein_res) ? round($protein_res * 100,2) : 0;
         $data['protein']['evaluate'] = isset($score_array[3]) ? $score_array[3]['evaluate'] : 0;
-        $data['fat']['reality'] = $current_meal['fat'] ?? 0;
-        $data['fat']['recommend'] = $recommend_meal[$this->nurtirtion_type[$lastMeal['meal_times']][3]] ?? 0;
+        $data['fat']['reality'] = self::decimalProjection($current_meal, 'fat');
+        $data['fat']['recommend'] = self::decimalProjection($recommend_meal, $this->nurtirtion_type[$lastMeal['meal_times']][3]);
         $fat_res = Algorithm::divScale($data['fat']['reality'],$data['fat']['recommend']);
         $data['fat']['ratio'] = !empty($fat_res) ? round($fat_res * 100,2) : 0;
         $data['fat']['evaluate'] = isset($score_array[4]) ? $score_array[4]['evaluate'] : 0;
@@ -282,7 +295,7 @@
             $recommend_v = isset($recommend_values[$meals['field']]) ? $recommend_values[$meals['field']] : 0;
             $recommend_value = round($recommend_v * $meal_ratio,2);
             $meals_detary[$key]['recommend_value'] = $recommend_value;
-            $meals_detary[$key]['actual_value'] = $current_meal[$lastMeal['meal_times']][$meals['field']];
+            $meals_detary[$key]['actual_value'] = self::decimalProjection($current_meal[$lastMeal['meal_times']], $meals['field']);
             $ratio = Algorithm::divScale($meals_detary[$key]['actual_value'],$meals_detary[$key]['recommend_value']);
             $meals_detary[$key]['ratio'] = round($ratio * 100,2);
             $accumulate = array_sum(array_column($current_meal,$meals['field']));
@@ -354,8 +367,8 @@
         $recommend_value = MealRecommend::getCurrentRemmendMeal($recommend_where,$recommend_field);
         foreach ($fields as $field){
             $meal_recommend = isset($recommend_value[$field]) ? round($recommend_value[$field] * $recommend_value[$this->meal_times[$lastMeal['meal_times']]],2) : 0;
-            $data[$field]['recommend'] = isset($recommend_value[$field]) ? $recommend_value[$field] : 0;
-            $data[$field]['actual'] = isset($current_meal[$lastMeal['meal_times']][$field]) ? $current_meal[$lastMeal['meal_times']][$field] : 0;
+            $data[$field]['recommend'] = self::decimalProjection($recommend_value, $field);
+            $data[$field]['actual'] = self::decimalProjection($current_meal[$lastMeal['meal_times']], $field);
             $ratio = Algorithm::divScale($data[$field]['actual'],$meal_recommend);
             $data[$field]['ratio'] = round($ratio * 100,2);
             $accumulate = array_sum(array_column($current_meal,$field));
@@ -429,7 +442,7 @@
         foreach ($times_dishes[$lastMeal['meal_times']] as $current_dishe){
             if (isset($current_dishe['category']) && !empty($current_dishe['dishe']) && !empty($current_dishe['category'])){
                 $data['dishes_cate'][$current_dishe['category']]['actual'] += $current_dishe['dietary_fiber'];
-                $data['dishes_cate'][$current_dishe['category']]['dishes'][] = ['name' => $current_dishe['dishe']['name'],'weight' => $current_dishe['dietary_fiber']];
+                $data['dishes_cate'][$current_dishe['category']]['dishes'][] = ['name' => $current_dishe['dishe']['name'],'weight' => self::decimalProjection($current_dishe, 'dietary_fiber')];
             }
         }
         $data['dishes_cate'] = array_map(function ($item){