feat: 智能分类建议 — 根据金额/备注/历史自动推荐分类

client/src/api/stats.ts

@@ -41,3 +41,14 @@ export function getCategoryStats(month?: string, type: string = 'expense', group
 export function getTrend(month?: string, type: string = 'expense', group_id?: number | null) {
   return request<TrendPoint[]>({ url: '/stats/trend', data: { month, type, group_id } })
 }
+
+/** 智能分类建议结果 */
+export interface CategorySuggestion {
+  category: { id: number; name: string; color: string } | null
+  confidence: number
+}
+
+/** 根据金额和备注推荐分类 */
+export function suggestCategory(amount: number, type: string, note?: string) {
+  return request<CategorySuggestion>({ url: '/stats/suggest-category', data: { amount, type, note } })
+}

client/src/pages/add/index.vue

@@ -27,8 +27,13 @@
 
     <scroll-view class="category-scroll" scroll-y :scroll-into-view="scrollToCat">
       <view class="category-grid">
-        <view v-for="cat in currentCategories" :key="cat.id" :id="'cat-' + cat.id" class="cat-item" @tap="selectedCat = cat.id">
+        <view v-for="cat in currentCategories" :key="cat.id" :id="'cat-' + cat.id" class="cat-item" :class="{ suggested: suggestedCatId === cat.id && selectedCat !== cat.id }" @tap="selectedCat = cat.id">
-          <CategoryIcon :label="cat.name[0]" :color="cat.color" :bg-color="cat.color + '15'" size="md" :selected="selectedCat === cat.id" />
+          <view class="cat-icon-wrap">
+            <CategoryIcon :label="cat.name[0]" :color="cat.color" :bg-color="cat.color + '15'" size="md" :selected="selectedCat === cat.id" />
+            <view v-if="suggestedCatId === cat.id && selectedCat !== cat.id" class="suggest-badge">
+              <text class="suggest-badge-text">推荐</text>
+            </view>
+          </view>
           <text class="cat-name" :class="{ active: selectedCat === cat.id }">{{ cat.name }}</text>
         </view>
       </view>
@@ -65,6 +70,7 @@ import { onShow } from '@dcloudio/uni-app'
 import { useCategoryStore } from '@/stores/category'
 import { useTransactionStore } from '@/stores/transaction'
 import { waitForReady } from '@/utils/app-ready'
+import { suggestCategory } from '@/api/stats'
 import Numpad from '@/components/Numpad/Numpad.vue'
 import CategoryIcon from '@/components/CategoryIcon/CategoryIcon.vue'
 import Icon from '@/components/Icon/Icon.vue'
@@ -78,6 +84,9 @@ const type = ref<'expense' | 'income'>('expense')
 const amountStr = ref('0')
 const selectedCat = ref<number | null>(null)
 const note = ref('')
+const suggestedCatId = ref<number | null>(null)
+const suggestConfidence = ref(0)
+let suggestTimer: ReturnType<typeof setTimeout> | null = null
 const now = new Date()
 const localToday = `${now.getFullYear()}-${String(now.getMonth() + 1).padStart(2, '0')}-${String(now.getDate()).padStart(2, '0')}`
 const selectedDate = ref(localToday)
@@ -121,6 +130,35 @@ watch(currentCategories, (cats) => {
   }
 })
 
+// 智能分类推荐：监听金额和备注变化，防抖 600ms 后请求建议
+watch([amountStr, note], () => {
+  if (suggestTimer) clearTimeout(suggestTimer)
+  suggestTimer = setTimeout(async () => {
+    const amt = Math.round(parseFloat(amountStr.value || '0') * 100)
+    if (amt <= 0 || editId.value) {
+      suggestedCatId.value = null
+      suggestConfidence.value = 0
+      return
+    }
+    try {
+      const result = await suggestCategory(amt, type.value, note.value)
+      if (result.category && result.confidence >= 30) {
+        suggestedCatId.value = result.category.id
+        suggestConfidence.value = result.confidence
+        // 置信度 >= 60 时自动选中
+        if (result.confidence >= 60 && !editId.value) {
+          selectedCat.value = result.category.id
+        }
+      } else {
+        suggestedCatId.value = null
+        suggestConfidence.value = 0
+      }
+    } catch {
+      suggestedCatId.value = null
+    }
+  }, 600)
+})
+
 onMounted(async () => {
   await waitForReady()
 
@@ -370,8 +408,38 @@ function goBack() {
   align-items: center;
   gap: 6rpx;
   padding: 12rpx 0;
+  position: relative;
 
   &:active { transform: scale(0.95); }
+
+  &.suggested {
+    .cat-icon-wrap {
+      border: 3rpx dashed $primary;
+      border-radius: $radius-lg;
+      padding: 6rpx;
+      margin: -6rpx;
+    }
+  }
+}
+
+.cat-icon-wrap {
+  position: relative;
+  transition: all $transition-normal;
+}
+
+.suggest-badge {
+  position: absolute;
+  top: -8rpx;
+  right: -12rpx;
+  padding: 2rpx 10rpx;
+  background: $primary;
+  border-radius: $radius-xs;
+}
+
+.suggest-badge-text {
+  font-size: 18rpx;
+  color: $surface;
+  font-weight: 600;
 }
 
 .cat-name { font-size: $font-sm; color: $text-sec; }

server/src/routes/stats.ts

@@ -170,4 +170,99 @@ router.get('/trend', async (req: AuthRequest, res: Response) => {
   }
 })
 
+/** 智能分类建议：根据历史记录的金额和备注推荐分类 */
+router.get('/suggest-category', async (req: AuthRequest, res: Response) => {
+  try {
+    const userId = req.userId
+    const { amount, type = 'expense', note = '' } = req.query
+
+    if (!amount || !['expense', 'income'].includes(type as string)) {
+      return res.status(400).json({ code: 40001, message: '参数错误' })
+    }
+
+    const amt = parseInt(amount as string)
+    const noteStr = (note as string).trim()
+
+    // 1. 关键词匹配：从备注中提取关键词，查找历史记录中最常用的分类
+    let suggestedCategory: any = null
+    let confidence = 0
+
+    if (noteStr) {
+      // 提取关键词（取前4个字符以上的词）
+      const keywords = noteStr.replace(/[，,。.！!？?\s]+/g, ' ').split(' ').filter(w => w.length >= 1)
+      if (keywords.length > 0) {
+        const likeClauses = keywords.map(() => 't.note LIKE ?').join(' OR ')
+        const likeParams = keywords.map(k => `%${k}%`)
+
+        const [rows] = await pool.query(
+          `SELECT t.category_id, c.name, c.color, COUNT(*) as cnt
+           FROM transactions t
+           LEFT JOIN categories c ON t.category_id = c.id
+           WHERE t.user_id = ? AND t.type = ? AND (${likeClauses})
+           GROUP BY t.category_id, c.name, c.color
+           ORDER BY cnt DESC
+           LIMIT 1`,
+          [userId, type, ...likeParams]
+        )
+        const match = (rows as any[])[0]
+        if (match) {
+          suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
+          // 置信度基于匹配次数
+          confidence = Math.min(90, 40 + match.cnt * 15)
+        }
+      }
+    }
+
+    // 2. 金额相近匹配（±30%）
+    if (!suggestedCategory) {
+      const minAmt = Math.floor(amt * 0.7)
+      const maxAmt = Math.ceil(amt * 1.3)
+      const [rows] = await pool.query(
+        `SELECT t.category_id, c.name, c.color, COUNT(*) as cnt
+         FROM transactions t
+         LEFT JOIN categories c ON t.category_id = c.id
+         WHERE t.user_id = ? AND t.type = ? AND t.amount BETWEEN ? AND ?
+         GROUP BY t.category_id, c.name, c.color
+         ORDER BY cnt DESC
+         LIMIT 1`,
+        [userId, type, minAmt, maxAmt]
+      )
+      const match = (rows as any[])[0]
+      if (match) {
+        suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
+        confidence = Math.min(70, 20 + match.cnt * 10)
+      }
+    }
+
+    // 3. 最近使用的分类（兜底）
+    if (!suggestedCategory) {
+      const [rows] = await pool.query(
+        `SELECT t.category_id, c.name, c.color
+         FROM transactions t
+         LEFT JOIN categories c ON t.category_id = c.id
+         WHERE t.user_id = ? AND t.type = ?
+         ORDER BY t.created_at DESC
+         LIMIT 1`,
+        [userId, type]
+      )
+      const match = (rows as any[])[0]
+      if (match) {
+        suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
+        confidence = 20
+      }
+    }
+
+    res.json({
+      code: 0,
+      data: {
+        category: suggestedCategory,
+        confidence
+      }
+    })
+  } catch (err) {
+    console.error('[Stats] suggest-category error:', err)
+    res.status(500).json({ code: 50000, message: '服务器错误' })
+  }
+})
+
 export default router