版本变更V3.31添加识图功能

inventory-backend/app/services/inbound/base_service.py

@@ -1048,14 +1048,15 @@ class MaterialBaseService:
     @staticmethod
     def get_latest_specs():
         """
-        获取所有规格型号的最大连号，按连续区间分组返回
+        获取所有规格型号的分组统计，按规则聚合后返回
         - 前缀统一大写处理
-        - 只有数字完全连续（N, N+1, N+2...）才认定为同一组
-        - 数字不连续时断开，形成新组
-        - 按每组数量降序排列
-        - 返回每个连续区间的最大值
+        - 匹配模式：(前缀)(单数字二级分类位)(纯数字部分)，如 OPT12046 -> OPT, 1, 2046
+        - OPT 系列：使用 前缀+二级分类位 作为分组 Key，如 OPT1, OPT2
+        - 其他前缀：直接使用前缀作为分组 Key
+        - 返回每个分组的数量、最大号、完整规格名
         """
         import re
+        from collections import defaultdict
 
         # 1. 查询所有不为空的规格型号
         specs = MaterialBase.query.filter(
@@ -1063,8 +1064,8 @@ class MaterialBaseService:
             MaterialBase.spec_model != ''
         ).all()
 
-        # 2. 解析并收集所有有效的 (prefix, num, original_spec)
-        parsed = []
+        # 2. 按分组收集所有数字
+        groups = defaultdict(list)
 
         for material in specs:
             spec = material.spec_model
@@ -1072,72 +1073,31 @@ class MaterialBaseService:
                 continue
 
             base_spec = spec.split('/')[0]
-
-            match = re.match(r'^([A-Za-z]+)(\d+)$', base_spec)
+            match = re.match(r'^([A-Za-z]+)(\d)(\d+)$', base_spec)
             if not match:
                 continue
 
-            prefix, num_str = match.groups()
+            prefix, sub_cat, num_str = match.groups()
             prefix = prefix.upper()
             num = int(num_str)
 
-            parsed.append((prefix, num, spec))
+            # OPT 系列使用 前缀+单数字二级分类 作为 Key
+            key = f"{prefix}{sub_cat}" if prefix == 'OPT' else prefix
+            groups[key].append((num, spec))
 
-        # 3. 先按 prefix 升序，再按 num 升序排序
-        parsed.sort(key=lambda x: (x[0], x[1]))
-
-        # 4. 遍历切分连续区间
-        # 核心逻辑：当 current_num != prev_num + 1 时，断开形成新组
-        intervals = []
-        current_prefix = None
-        current_start = None
-        current_end = None
-        current_last_spec = None
-
-        for prefix, num, spec in parsed:
-            if current_prefix is None:
-                current_prefix = prefix
-                current_start = num
-                current_end = num
-                current_last_spec = spec
-            elif prefix == current_prefix and num == current_end + 1:
-                current_end = num
-                current_last_spec = spec
-            else:
-                intervals.append({
-                    'prefix': current_prefix,
-                    'start': current_start,
-                    'end': current_end,
-                    'count': current_end - current_start + 1,
-                    'latest': current_last_spec
-                })
-                current_prefix = prefix
-                current_start = num
-                current_end = num
-                current_last_spec = spec
-
-        if current_prefix is not None:
-            intervals.append({
-                'prefix': current_prefix,
-                'start': current_start,
-                'end': current_end,
-                'count': current_end - current_start + 1,
-                'latest': current_last_spec
-            })
-
-        # 5. 按每组数量降序排列，再按前缀升序
-        intervals.sort(key=lambda x: (-x['count'], x['prefix']))
-
-        # 6. 构建返回结果
+        # 3. 生成展示用的统计数据
         result = []
-        for item in intervals:
-            prefix = item['prefix']
-            start = item['start']
-            end = item['end']
+        for key, items in groups.items():
+            sorted_items = sorted(items, key=lambda x: x[0])
+            max_num, max_spec = sorted_items[-1]
             result.append({
-                "group": f"{prefix}({start}-{end})",
-                "count": item['count'],
-                "latest": item['latest']
+                'group': key,
+                'count': len(sorted_items),
+                'latest': max_spec,
+                'max_num': max_num
             })
 
+        # 4. 按数量降序，再按分组名升序排列
+        result.sort(key=lambda x: (-x['count'], x['group']))
+
         return result