feat: 智能分类建议 — 根据金额/备注/历史自动推荐分类
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@@ -41,3 +41,14 @@ export function getCategoryStats(month?: string, type: string = 'expense', group
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export function getTrend(month?: string, type: string = 'expense', group_id?: number | null) {
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return request<TrendPoint[]>({ url: '/stats/trend', data: { month, type, group_id } })
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}
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/** 智能分类建议结果 */
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export interface CategorySuggestion {
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category: { id: number; name: string; color: string } | null
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confidence: number
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}
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/** 根据金额和备注推荐分类 */
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export function suggestCategory(amount: number, type: string, note?: string) {
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return request<CategorySuggestion>({ url: '/stats/suggest-category', data: { amount, type, note } })
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}
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@@ -27,8 +27,13 @@
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<scroll-view class="category-scroll" scroll-y :scroll-into-view="scrollToCat">
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<view class="category-grid">
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<view v-for="cat in currentCategories" :key="cat.id" :id="'cat-' + cat.id" class="cat-item" @tap="selectedCat = cat.id">
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<CategoryIcon :label="cat.name[0]" :color="cat.color" :bg-color="cat.color + '15'" size="md" :selected="selectedCat === cat.id" />
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<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">
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<view class="cat-icon-wrap">
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<CategoryIcon :label="cat.name[0]" :color="cat.color" :bg-color="cat.color + '15'" size="md" :selected="selectedCat === cat.id" />
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<view v-if="suggestedCatId === cat.id && selectedCat !== cat.id" class="suggest-badge">
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<text class="suggest-badge-text">推荐</text>
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</view>
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</view>
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<text class="cat-name" :class="{ active: selectedCat === cat.id }">{{ cat.name }}</text>
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</view>
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</view>
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@@ -65,6 +70,7 @@ import { onShow } from '@dcloudio/uni-app'
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import { useCategoryStore } from '@/stores/category'
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import { useTransactionStore } from '@/stores/transaction'
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import { waitForReady } from '@/utils/app-ready'
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import { suggestCategory } from '@/api/stats'
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import Numpad from '@/components/Numpad/Numpad.vue'
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import CategoryIcon from '@/components/CategoryIcon/CategoryIcon.vue'
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import Icon from '@/components/Icon/Icon.vue'
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@@ -78,6 +84,9 @@ const type = ref<'expense' | 'income'>('expense')
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const amountStr = ref('0')
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const selectedCat = ref<number | null>(null)
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const note = ref('')
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const suggestedCatId = ref<number | null>(null)
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const suggestConfidence = ref(0)
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let suggestTimer: ReturnType<typeof setTimeout> | null = null
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const now = new Date()
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const localToday = `${now.getFullYear()}-${String(now.getMonth() + 1).padStart(2, '0')}-${String(now.getDate()).padStart(2, '0')}`
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const selectedDate = ref(localToday)
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@@ -121,6 +130,35 @@ watch(currentCategories, (cats) => {
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}
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})
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// 智能分类推荐:监听金额和备注变化,防抖 600ms 后请求建议
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watch([amountStr, note], () => {
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if (suggestTimer) clearTimeout(suggestTimer)
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suggestTimer = setTimeout(async () => {
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const amt = Math.round(parseFloat(amountStr.value || '0') * 100)
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if (amt <= 0 || editId.value) {
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suggestedCatId.value = null
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suggestConfidence.value = 0
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return
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}
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try {
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const result = await suggestCategory(amt, type.value, note.value)
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if (result.category && result.confidence >= 30) {
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suggestedCatId.value = result.category.id
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suggestConfidence.value = result.confidence
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// 置信度 >= 60 时自动选中
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if (result.confidence >= 60 && !editId.value) {
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selectedCat.value = result.category.id
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}
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} else {
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suggestedCatId.value = null
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suggestConfidence.value = 0
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}
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} catch {
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suggestedCatId.value = null
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}
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}, 600)
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})
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onMounted(async () => {
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await waitForReady()
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@@ -370,8 +408,38 @@ function goBack() {
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align-items: center;
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gap: 6rpx;
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padding: 12rpx 0;
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position: relative;
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&:active { transform: scale(0.95); }
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&.suggested {
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.cat-icon-wrap {
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border: 3rpx dashed $primary;
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border-radius: $radius-lg;
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padding: 6rpx;
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margin: -6rpx;
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}
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}
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}
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.cat-icon-wrap {
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position: relative;
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transition: all $transition-normal;
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}
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.suggest-badge {
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position: absolute;
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top: -8rpx;
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right: -12rpx;
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padding: 2rpx 10rpx;
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background: $primary;
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border-radius: $radius-xs;
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}
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.suggest-badge-text {
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font-size: 18rpx;
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color: $surface;
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font-weight: 600;
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}
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.cat-name { font-size: $font-sm; color: $text-sec; }
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@@ -170,4 +170,99 @@ router.get('/trend', async (req: AuthRequest, res: Response) => {
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}
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})
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/** 智能分类建议:根据历史记录的金额和备注推荐分类 */
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router.get('/suggest-category', async (req: AuthRequest, res: Response) => {
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try {
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const userId = req.userId
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const { amount, type = 'expense', note = '' } = req.query
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if (!amount || !['expense', 'income'].includes(type as string)) {
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return res.status(400).json({ code: 40001, message: '参数错误' })
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}
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const amt = parseInt(amount as string)
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const noteStr = (note as string).trim()
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// 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
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let suggestedCategory: any = null
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let confidence = 0
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if (noteStr) {
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// 提取关键词(取前4个字符以上的词)
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const keywords = noteStr.replace(/[,,。.!!??\s]+/g, ' ').split(' ').filter(w => w.length >= 1)
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if (keywords.length > 0) {
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const likeClauses = keywords.map(() => 't.note LIKE ?').join(' OR ')
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const likeParams = keywords.map(k => `%${k}%`)
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const [rows] = await pool.query(
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`SELECT t.category_id, c.name, c.color, COUNT(*) as cnt
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FROM transactions t
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LEFT JOIN categories c ON t.category_id = c.id
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WHERE t.user_id = ? AND t.type = ? AND (${likeClauses})
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GROUP BY t.category_id, c.name, c.color
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ORDER BY cnt DESC
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LIMIT 1`,
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[userId, type, ...likeParams]
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)
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const match = (rows as any[])[0]
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if (match) {
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suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
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// 置信度基于匹配次数
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confidence = Math.min(90, 40 + match.cnt * 15)
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}
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}
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}
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// 2. 金额相近匹配(±30%)
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if (!suggestedCategory) {
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const minAmt = Math.floor(amt * 0.7)
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const maxAmt = Math.ceil(amt * 1.3)
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const [rows] = await pool.query(
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`SELECT t.category_id, c.name, c.color, COUNT(*) as cnt
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FROM transactions t
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LEFT JOIN categories c ON t.category_id = c.id
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WHERE t.user_id = ? AND t.type = ? AND t.amount BETWEEN ? AND ?
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GROUP BY t.category_id, c.name, c.color
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ORDER BY cnt DESC
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LIMIT 1`,
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[userId, type, minAmt, maxAmt]
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)
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const match = (rows as any[])[0]
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if (match) {
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suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
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confidence = Math.min(70, 20 + match.cnt * 10)
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}
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}
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// 3. 最近使用的分类(兜底)
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if (!suggestedCategory) {
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const [rows] = await pool.query(
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`SELECT t.category_id, c.name, c.color
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FROM transactions t
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LEFT JOIN categories c ON t.category_id = c.id
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WHERE t.user_id = ? AND t.type = ?
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ORDER BY t.created_at DESC
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LIMIT 1`,
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[userId, type]
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)
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const match = (rows as any[])[0]
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if (match) {
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suggestedCategory = { id: match.category_id, name: match.name, color: match.color }
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confidence = 20
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}
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}
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res.json({
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code: 0,
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data: {
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category: suggestedCategory,
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confidence
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}
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})
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} catch (err) {
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console.error('[Stats] suggest-category error:', err)
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res.status(500).json({ code: 50000, message: '服务器错误' })
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}
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})
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export default router
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