更新Company页面的UI为FUI风格

app.py

@@ -11279,35 +11279,60 @@ def get_events_by_mainline():
             else:
                 ungrouped_events.append(event_data)
 
-        # ==================== 5. 获取 lv2 概念涨跌幅 ====================
+        # ==================== 5. 获取概念涨跌幅（根据 group_by 参数） ====================
-        lv2_price_map = {}
+        price_map = {}
+
+        # 确定当前分组层级和对应的数据库类型
+        if group_by == 'lv1' or group_by.startswith('L1_'):
+            current_level = 'lv1'
+            db_concept_type = 'lv1'
+            name_prefix = '[一级] '
+            name_field = 'lv1_name'
+        elif group_by == 'lv3' or group_by.startswith('L2_'):
+            current_level = 'lv3'
+            db_concept_type = 'lv3'
+            name_prefix = '[三级] '
+            name_field = 'lv3_name'
+        else:  # lv2 或 L3_ 开头（查看 lv3 下的具体分类，显示 lv2 涨跌幅）
+            current_level = 'lv2'
+            db_concept_type = 'lv2'
+            name_prefix = '[二级] '
+            name_field = 'lv2_name'
+
         try:
-            # 获取所有 lv2 名称
+            # 获取所有对应层级的名称
-            lv2_names = [group['lv2_name'] for group in mainline_groups.values() if group.get('lv2_name')]
+            group_names = [group.get('group_name') or group.get(name_field) for group in mainline_groups.values()]
-            if lv2_names:
+            group_names = [n for n in group_names if n]  # 过滤掉空值
-                # 数据库中的 concept_name 带有 "[二级] " 前缀，需要添加前缀来匹配
+
-                lv2_names_with_prefix = [f'[二级] {name}' for name in lv2_names]
+            if group_names:
+                # 数据库中的 concept_name 带有前缀，需要添加前缀来匹配
+                names_with_prefix = [f'{name_prefix}{name}' for name in group_names]
+
                 # 查询 concept_daily_stats 表获取最新涨跌幅
                 price_sql = text('''
                     SELECT concept_name, avg_change_pct, trade_date
                     FROM concept_daily_stats
-                    WHERE concept_type = 'lv2'
+                    WHERE concept_type = :concept_type
                     AND concept_name IN :names
                     AND trade_date = (
-                        SELECT MAX(trade_date) FROM concept_daily_stats WHERE concept_type = 'lv2'
+                        SELECT MAX(trade_date) FROM concept_daily_stats WHERE concept_type = :concept_type
                     )
                 ''')
-                price_result = db.session.execute(price_sql, {'names': tuple(lv2_names_with_prefix)}).fetchall()
+                price_result = db.session.execute(price_sql, {
+                    'concept_type': db_concept_type,
+                    'names': tuple(names_with_prefix)
+                }).fetchall()
+
                 for row in price_result:
-                    # 去掉 "[二级] " 前缀，用原始名称作为 key
+                    # 去掉前缀，用原始名称作为 key
-                    original_name = row.concept_name.replace('[二级] ', '') if row.concept_name else ''
+                    original_name = row.concept_name.replace(name_prefix, '') if row.concept_name else ''
-                    lv2_price_map[original_name] = {
+                    price_map[original_name] = {
                         'avg_change_pct': float(row.avg_change_pct) if row.avg_change_pct else None,
                         'trade_date': str(row.trade_date) if row.trade_date else None
                     }
-                app.logger.info(f'[mainline] 获取 lv2 涨跌幅: {len(lv2_price_map)} 条, lv2_names 数量: {len(lv2_names)}')
+                app.logger.info(f'[mainline] 获取 {current_level} 涨跌幅: {len(price_map)} 条, 查询名称数量: {len(group_names)}')
         except Exception as price_err:
-            app.logger.warning(f'[mainline] 获取 lv2 涨跌幅失败: {price_err}')
+            app.logger.warning(f'[mainline] 获取 {current_level} 涨跌幅失败: {price_err}')
 
         # ==================== 6. 整理返回数据 ====================
         mainlines = []
@@ -11319,11 +11344,12 @@ def get_events_by_mainline():
                 reverse=True
             )
             group['event_count'] = len(group['events'])
-            # 添加涨跌幅数据（目前只支持 lv2）
+
-            lv2_name = group.get('lv2_name', '') or group.get('group_name', '')
+            # 添加涨跌幅数据（根据当前分组层级）
-            if lv2_name in lv2_price_map:
+            group_name = group.get('group_name') or group.get(name_field, '')
-                group['avg_change_pct'] = lv2_price_map[lv2_name]['avg_change_pct']
+            if group_name in price_map:
-                group['price_date'] = lv2_price_map[lv2_name]['trade_date']
+                group['avg_change_pct'] = price_map[group_name]['avg_change_pct']
+                group['price_date'] = price_map[group_name]['trade_date']
             else:
                 group['avg_change_pct'] = None
                 group['price_date'] = None

src/mocks/handlers/event.js

@@ -1726,12 +1726,59 @@ export const eventHandlers = [
                 });
             });
 
+            // 生成各层级的模拟涨跌幅数据
+            const generatePriceData = () => {
+                // 生成 -5% 到 +8% 之间的随机涨跌幅
+                return parseFloat((Math.random() * 13 - 5).toFixed(2));
+            };
+
+            // 为各层级生成涨跌幅 Map
+            const priceDataMap = {
+                lv1: {},
+                lv2: {},
+                lv3: {}
+            };
+
+            // 为每个层级生成涨跌幅
+            mainlineDefinitions.forEach(def => {
+                if (!priceDataMap.lv1[def.lv1_name]) {
+                    priceDataMap.lv1[def.lv1_name] = generatePriceData();
+                }
+                if (!priceDataMap.lv2[def.lv2_name]) {
+                    priceDataMap.lv2[def.lv2_name] = generatePriceData();
+                }
+                if (!priceDataMap.lv3[def.lv3_name]) {
+                    priceDataMap.lv3[def.lv3_name] = generatePriceData();
+                }
+            });
+
             const mainlines = Object.values(mainlineGroups)
-                .map(group => ({
+                .map(group => {
-                    ...group,
+                    // 根据分组层级获取对应的涨跌幅
-                    events: group.events.slice(0, limitPerMainline),
+                    let avgChangePct = null;
-                    event_count: Math.min(group.events.length, limitPerMainline)
+                    if (groupBy === 'lv1' || groupBy.startsWith('L1_')) {
-                }))
+                        // lv1 分组，使用 lv1 涨跌幅（如果是 L1_ 开头，则显示的是 lv2 分组，使用 lv2 涨跌幅）
+                        if (groupBy.startsWith('L1_')) {
+                            avgChangePct = priceDataMap.lv2[group.group_name] ?? null;
+                        } else {
+                            avgChangePct = priceDataMap.lv1[group.group_name] ?? null;
+                        }
+                    } else if (groupBy === 'lv3' || groupBy.startsWith('L2_')) {
+                        // lv3 分组，使用 lv3 涨跌幅
+                        avgChangePct = priceDataMap.lv3[group.group_name] ?? null;
+                    } else {
+                        // lv2 分组（默认），使用 lv2 涨跌幅
+                        avgChangePct = priceDataMap.lv2[group.group_name] ?? null;
+                    }
+
+                    return {
+                        ...group,
+                        events: group.events.slice(0, limitPerMainline),
+                        event_count: Math.min(group.events.length, limitPerMainline),
+                        avg_change_pct: avgChangePct,
+                        price_date: new Date().toISOString().split('T')[0]
+                    };
+                })
                 .filter(group => group.event_count > 0)
                 .sort((a, b) => b.event_count - a.event_count);