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miniprogram/pages/recommend/index.js

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+const { request } = require('../../utils/request')
+
+const REC_TYPES = [
+  {
+    key: 'current',
+    label: '当前状态推荐',
+    desc: '基于你最近一次饮食状态，用随机森林给出当前最匹配的食谱。',
+    scene: '日常实时决策',
+    requirement: '建议先填写今天的体重、体脂、摄入和消耗'
+  },
+  {
+    key: 'health',
+    label: '健康状态推荐',
+    desc: '按体脂、摄入和运动平衡进行规则评分，优先推荐营养结构更均衡的方案。',
+    scene: '想吃得更健康',
+    requirement: '推荐先有基础饮食状态数据'
+  },
+  {
+    key: 'history',
+    label: '历史计划推荐',
+    desc: '根据近一段时间的体重和摄入趋势，给出偏减脂或偏增肌的策略型推荐。',
+    scene: '需要阶段性调整',
+    requirement: '至少有 3 天历史记录'
+  },
+  {
+    key: 'goal',
+    label: '未来目标推荐',
+    desc: '围绕你的目标（减脂/增肌/生酮/维持）进行宏量营养匹配。',
+    scene: '目标导向饮食',
+    requirement: '可跟随个人资料，也可手动指定目标'
+  },
+  {
+    key: 'occupation',
+    label: '职业行业推荐',
+    desc: '根据职业活动强度和作息特点，推荐更贴近日常能量需求的食谱。',
+    scene: '工作日场景优化',
+    requirement: '可跟随个人资料，也可手动指定职业'
+  }
+]
+
+const TOP_K_OPTIONS = [
+  { value: 3, label: '3 条' },
+  { value: 5, label: '5 条' },
+  { value: 10, label: '10 条' }
+]
+
+const GOAL_OPTIONS = [
+  { value: '', label: '跟随个人资料（推荐）' },
+  { value: 'lose_fat', label: '减脂（lose_fat）' },
+  { value: 'gain_muscle', label: '增肌（gain_muscle）' },
+  { value: 'keto', label: '生酮（keto）' },
+  { value: 'maintain', label: '维持（maintain）' }
+]
+
+const OCCUPATION_OPTIONS = [
+  { value: '', label: '跟随个人资料（推荐）' },
+  { value: 'office', label: '办公室（office）' },
+  { value: 'developer', label: '程序员（developer）' },
+  { value: 'fitness', label: '健身行业（fitness）' },
+  { value: 'teacher', label: '教师（teacher）' },
+  { value: 'student', label: '学生（student）' },
+  { value: 'manual', label: '体力劳动（manual）' }
+]
+
+Page({
+  data: {
+    recType: 'current',
+    recTypes: REC_TYPES,
+    activeType: REC_TYPES[0],
+    selectedLabel: REC_TYPES[0].label,
+    topK: 5,
+    topKLabel: '5 条',
+    topKOptions: TOP_K_OPTIONS,
+    goalValue: '',
+    goalLabel: GOAL_OPTIONS[0].label,
+    goalOptions: GOAL_OPTIONS,
+    occupationValue: '',
+    occupationLabel: OCCUPATION_OPTIONS[0].label,
+    occupationOptions: OCCUPATION_OPTIONS,
+    loading: false,
+    payload: null,
+    summary: null,
+    errorText: '',
+    lastUpdatedAt: ''
+  },
+
+  onShow() {
+    this.fetchRecommend()
+  },
+
+  onTypeChange(e) {
+    const idx = Number(e.detail.value)
+    const item = this.data.recTypes[idx]
+    if (!item) return
+    this.setData({
+      recType: item.key,
+      selectedLabel: item.label,
+      activeType: item
+    })
+    this.fetchRecommend()
+  },
+
+  onTopKChange(e) {
+    const idx = Number(e.detail.value)
+    const item = this.data.topKOptions[idx]
+    if (!item) return
+    this.setData({ topK: item.value, topKLabel: item.label })
+    this.fetchRecommend()
+  },
+
+  onGoalChange(e) {
+    const idx = Number(e.detail.value)
+    const item = this.data.goalOptions[idx]
+    if (!item) return
+    this.setData({ goalValue: item.value, goalLabel: item.label })
+    this.fetchRecommend()
+  },
+
+  onOccupationChange(e) {
+    const idx = Number(e.detail.value)
+    const item = this.data.occupationOptions[idx]
+    if (!item) return
+    this.setData({ occupationValue: item.value, occupationLabel: item.label })
+    this.fetchRecommend()
+  },
+
+  buildUrl() {
+    const topK = this.data.topK || 5
+    const type = this.data.recType
+    if (type === 'current') return `/recommend/current?top_k=${topK}`
+    if (type === 'health') return `/recommend/health?top_k=${topK}`
+    if (type === 'history') return `/recommend/plan/history?top_k=${topK}`
+    if (type === 'goal') {
+      const extra = this.data.goalValue ? `&goal=${encodeURIComponent(this.data.goalValue)}` : ''
+      return `/recommend/plan/goal?top_k=${topK}${extra}`
+    }
+    const occ = this.data.occupationValue ? `&occupation=${encodeURIComponent(this.data.occupationValue)}` : ''
+    return `/recommend/plan/occupation?top_k=${topK}${occ}`
+  },
+
+  buildSummary(items = []) {
+    if (!items.length) return null
+    const totalCalories = items.reduce((sum, row) => sum + Number(row.calories || 0), 0)
+    const totalProtein = items.reduce((sum, row) => sum + Number(row.protein || 0), 0)
+    return {
+      count: items.length,
+      avgCalories: Math.round((totalCalories / items.length) * 10) / 10,
+      avgProtein: Math.round((totalProtein / items.length) * 10) / 10
+    }
+  },
+
+  formatNow() {
+    const d = new Date()
+    const pad = (n) => String(n).padStart(2, '0')
+    return `${pad(d.getHours())}:${pad(d.getMinutes())}:${pad(d.getSeconds())}`
+  },
+
+  async fetchRecommend() {
+    this.setData({ loading: true, errorText: '' })
+    try {
+      const payload = await request({ url: this.buildUrl() })
+      const items = payload && Array.isArray(payload.items) ? payload.items : []
+      const normalizedItems = items.map((row, idx) => {
+        const score = Number(row.rf_score ?? row.score ?? 0)
+        return {
+          ...row,
+          rank: idx + 1,
+          displayScore: score.toFixed(1)
+        }
+      })
+      this.setData({
+        payload: { ...payload, items: normalizedItems },
+        summary: this.buildSummary(normalizedItems),
+        lastUpdatedAt: this.formatNow(),
+        errorText: ''
+      })
+    } catch (err) {
+      this.setData({
+        payload: null,
+        summary: null,
+        errorText: (err && err.message) || '推荐请求失败，请稍后重试'
+      })
+    } finally {
+      this.setData({ loading: false })
+    }
+  }
+})