fix: 二维码分享功能统一收敛 — 新增通用 QR 后端接口 + 修复三处前端 QR 生成

cfc-backend/src/main/java/com/etotem/cfc/controller/CommonController.java

@@ -0,0 +1,36 @@
+package com.etotem.cfc.controller;
+
+import com.etotem.cfc.common.Result;
+import com.etotem.cfc.service.QrCodeService;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import org.springframework.web.bind.annotation.*;
+
+import javax.annotation.Resource;
+import java.util.HashMap;
+import java.util.Map;
+
+@Tag(name = "通用工具", description = "通用工具接口（二维码等）")
+@RestController
+@RequestMapping("/api/common")
+public class CommonController {
+
+    @Resource
+    private QrCodeService qrCodeService;
+
+    @Operation(summary = "生成二维码（通用）")
+    @PostMapping("/qrcode")
+    public Result<Map<String, Object>> generateQrCode(@RequestBody Map<String, String> body) {
+        String content = body.get("content");
+        if (content == null || content.trim().isEmpty()) {
+            return Result.error("内容不能为空");
+        }
+        String qrBase64 = qrCodeService.generateQrCodeBase64(content.trim());
+        if (qrBase64 == null) {
+            return Result.error("生成二维码失败");
+        }
+        Map<String, Object> result = new HashMap<>();
+        result.put("qrCodeBase64", "data:image/png;base64," + qrBase64);
+        return Result.success(result);
+    }
+}

cfc-frontend/pages/guide/bind/invite.vue

@@ -67,7 +67,7 @@
 </template>
 
 <script>
-import { generateBindInvite } from '@/utils/api.js'
+import { generateBindInvite, generateQrCodeFromText } from '@/utils/api.js'
 
 export default {
   data() {
@@ -179,9 +179,23 @@ export default {
       uni.setClipboardData({ data: this.inviteUrl })
       uni.showToast({ title: '已复制' })
     },
-    showQrcode() {
-      // 生成二维码（需要后端返回二维码图片）
-      this.qrcodeUrl = 'https://api.qrserver.com/v1/create-qr-code/?size=200x200&data=' + encodeURIComponent(this.inviteUrl)
+    async showQrcode() {
+      if (!this.inviteUrl) {
+        uni.showToast({ title: '请先生成邀请', icon: 'none' })
+        return
+      }
+      try {
+        const res = await generateQrCodeFromText(this.inviteUrl)
+        if (res.code === 200 && res.data) {
+          this.qrcodeUrl = res.data.qrCodeBase64
+        } else {
+          uni.showToast({ title: res.message || '生成二维码失败', icon: 'none' })
+          return
+        }
+      } catch (e) {
+        uni.showToast({ title: '生成二维码失败', icon: 'none' })
+        return
+      }
       this.$refs.qrPopup.open()
     },
     closeQrcode() {

cfc-frontend/pages/guide/invite/share.vue

@@ -107,7 +107,7 @@
 </template>
 
 <script>
-import { getInviteCodes, generateInviteCode } from '../../../utils/api.js'
+import { getInviteCodes, generateInviteCode, generateQrCodeFromText } from '../../../utils/api.js'
 
 export default {
   data() {
@@ -205,9 +205,22 @@ export default {
       })
     },
 
-    drawQrcode() {
-      // TODO: 使用二维码生成库生成二维码
-      // 这里简化处理，使用 Canvas 绘制占位符
+    async drawQrcode() {
+      if (!this.currentInviteCode) return
+      const code = this.currentInviteCode.code
+      const pagePath = '/pages/guide/register/index?inviteCode=' + code
+
+      // 通过后端生成真实二维码
+      let qrBase64 = ''
+      try {
+        const res = await generateQrCodeFromText(pagePath)
+        if (res.code === 200 && res.data) {
+          qrBase64 = res.data.qrCodeBase64
+        }
+      } catch (e) {
+        console.error('生成二维码失败', e)
+      }
+
       const ctx = uni.createCanvasContext('qrcodeCanvas')
       const canvasWidth = 300
       const canvasHeight = 300
@@ -215,18 +228,31 @@ export default {
       ctx.setFillStyle('#FFFFFF')
       ctx.fillRect(0, 0, canvasWidth, canvasHeight)
 
-      ctx.setFillStyle('#333333')
-      ctx.font = '20px sans-serif'
-      ctx.textAlign = 'center'
-      ctx.fillText('邀请码', canvasWidth / 2, 100)
+      if (qrBase64) {
+        // 将 base64 写入临时文件，再绘制到 Canvas
+        const rawBase64 = qrBase64.indexOf('base64,') >= 0 ? qrBase64.split('base64,')[1] : qrBase64
+        const fsm = uni.getFileSystemManager()
+        const tempPath = wx.env.USER_DATA_PATH + '/qr_invite_' + Date.now() + '.png'
+        try {
+          fsm.writeFileSync(tempPath, rawBase64, 'base64')
+          ctx.drawImage(tempPath, 40, 30, 220, 220)
+        } catch (e) {
+          this._drawQrFallback(ctx, canvasWidth, canvasHeight, code)
+        }
+      } else {
+        this._drawQrFallback(ctx, canvasWidth, canvasHeight, code)
+      }
 
-      ctx.font = 'bold 40px sans-serif'
-      ctx.fillText(this.currentInviteCode.code, canvasWidth / 2, 150)
+      ctx.draw()
+    },
 
+    _drawQrFallback(ctx, w, h, code) {
+      ctx.setFillStyle('#CCCCCC')
+      ctx.fillRect(40, 30, 220, 220)
+      ctx.setFillStyle('#999999')
       ctx.font = '16px sans-serif'
-      ctx.fillText('扫码成为成长规划师', canvasWidth / 2, 220)
-
-      ctx.draw()
+      ctx.textAlign = 'center'
+      ctx.fillText('邀请码: ' + code, w / 2, 150)
     },
 
     saveQrcode() {

cfc-frontend/pages/parent/invite/index.vue

@@ -65,7 +65,7 @@
 </template>
 
 <script>
-import { getInviteCode, generateFamilyInviteCode, bindGuideFamily } from '@/utils/api.js'
+import { getInviteCode, generateFamilyInviteCode, bindGuideFamily, generateQrCodeFromText } from '@/utils/api.js'
 
 export default {
   data() {
@@ -128,16 +128,39 @@ export default {
         }
       })
     },
-    generatePoster() {
+    async generatePoster() {
       this.showPoster = true
-      this.$nextTick(() => {
-        this.drawPoster()
-      })
+
+      // 先获取二维码
+      var qrTempPath = ''
+      if (this.inviteCode) {
+        var invitePath = '/pages/invite/join?inviteCode=' + this.inviteCode
+        try {
+          var res = await generateQrCodeFromText(invitePath)
+          if (res.code === 200 && res.data) {
+            var rawBase64 = res.data.qrCodeBase64
+            if (rawBase64.indexOf('base64,') >= 0) {
+              rawBase64 = rawBase64.split('base64,')[1]
+            }
+            var fsm = uni.getFileSystemManager()
+            var path = wx.env.USER_DATA_PATH + '/qr_poster_' + Date.now() + '.png'
+            fsm.writeFileSync(path, rawBase64, 'base64')
+            qrTempPath = path
+          }
+        } catch (e) {
+          console.error('生成二维码失败', e)
+        }
+      }
+
+      this.$nextTick(function() {
+        this.drawPoster(qrTempPath)
+      }.bind(this))
     },
-    drawPoster() {
+    drawPoster(qrTempPath) {
       const ctx = uni.createCanvasContext('posterCanvas')
       const width = 300
       const height = 450
+      var self = this
       
       // 背景
       ctx.setFillStyle('#667eea')
@@ -146,28 +169,36 @@ export default {
       // 标题
       ctx.setFillStyle('#ffffff')
       ctx.setFontSize(20)
+      ctx.setTextAlign('center')
       ctx.fillText('邀请加入家庭', width / 2, 40)
       
       // 家庭名
       ctx.setFontSize(14)
-      ctx.fillText(this.familyName, width / 2, 70)
+      ctx.fillText(self.familyName, width / 2, 70)
       
       // 邀请码
       ctx.setFillStyle('#ffffff')
       ctx.setFontSize(32)
-      ctx.fillText(this.inviteCode, width / 2, 130)
+      ctx.setTextAlign('center')
+      ctx.fillText(self.inviteCode, width / 2, 130)
       
       // 提示
       ctx.setFontSize(12)
       ctx.setFillStyle('rgba(255,255,255,0.8)')
+      ctx.setTextAlign('center')
       ctx.fillText('输入邀请码加入家庭', width / 2, 170)
       
-      // 二维码占位
-      ctx.setFillStyle('#ffffff')
-      ctx.fillRect(75, 210, 150, 150)
-      ctx.setFillStyle('#667eea')
-      ctx.setFontSize(12)
-      ctx.fillText('扫码注册', width / 2, 300)
+      // 二维码区域
+      if (qrTempPath) {
+        ctx.drawImage(qrTempPath, 75, 210, 150, 150)
+      } else {
+        ctx.setFillStyle('#ffffff')
+        ctx.fillRect(75, 210, 150, 150)
+        ctx.setFillStyle('#667eea')
+        ctx.setFontSize(12)
+        ctx.setTextAlign('center')
+        ctx.fillText('扫码注册', width / 2, 300)
+      }
       
       ctx.draw()
     },

cfc-frontend/utils/api.js

@@ -979,6 +979,10 @@ export const acceptInvitation = (token, familyRole, mergeFamily) => {
   return request('/api/family/invite/accept', 'POST', { token, familyRole, mergeFamily: !!mergeFamily })
 }
 
+export const generateQrCodeFromText = (content) => {
+  return request('/api/common/qrcode', 'POST', { content })
+}
+
 // 妫€鏌ュ綋鍓嶇敤鎴峰搴姸鎬?
 export const checkUserFamily = () => {
   return request('/api/family/invite/check-family', 'POST')

docs/参考资料/extract_food_csv.py

@@ -0,0 +1,355 @@
+import sys, os, csv, re
+sys.stdout.reconfigure(encoding='utf-8')
+sys.stderr.reconfigure(encoding='utf-8')
+from PyPDF2 import PdfReader
+
+path = r'D:\workspace\cfc\docs\参考资料'
+outdir = path
+columns = ['名称', '分类', '推荐指数', '能量KJ', '蛋白g', '脂肪g', '碳水化合物g', '淀粉g', '总膳食纤维g', '胆固醇mg']
+known_cats = ['主食', '乳制品', '干果', '坚果', '快餐', '水产品', '水果', '汤', '肉类', '蔬菜', '豆类及豆制品', '蛋类', '饮料']
+
+# CJK Radical -> Standard Hanzi mapping (observed in these PDFs)
+_RADICAL_MAP = {
+    '\u2f24': '大',  # ⼤ -> 大
+    '\u2f29': '小',  # ⼩ -> 小
+    '\u2f2d': '山',  # ⼭ -> 山
+    '\u2f32': '干',  # ⼲ -> 干
+    '\u2f46': '无',  # ⽆ -> 无
+    '\u2f4a': '木',  # ⽊ -> 木
+    '\u2f50': '比',  # ⽐ -> 比
+    '\u2f54': '水',  # ⽔ -> 水
+    '\u2f55': '火',  # ⽕ -> 火
+    '\u2f5c': '牛',  # ⽜ -> 牛
+    '\u2f5f': '玉',  # ⽟ -> 玉
+    '\u2f62': '甘',  # ⽢ -> 甘
+    '\u2f63': '生',  # ⽣ -> 生
+    '\u2f64': '用',  # ⽤ -> 用
+    '\u2f69': '白',  # ⽩ -> 白
+    '\u2f6f': '石',  # ⽯ -> 石
+    '\u2f75': '竹',  # ⽵ -> 竹
+    '\u2f76': '米',  # ⽶ -> 米
+    '\u2f7b': '羽',  # ⽻ -> 羽
+    '\u2f7c': '老',  # ⽼ -> 老
+    '\u2f81': '肉',  # ⾁ -> 肉
+    '\u2f96': '豆',  # ⾖ -> 豆
+    '\u2f9d': '身',  # ⾝ -> 身
+    '\u2faf': '面',  # ⾯ -> 面
+    '\u2fb2': '韭',  # ⾲ -> 韭
+    '\u2fb9': '香',  # ⾹ -> 香
+    '\u2fca': '黑',  # ⿊ -> 黑
+    '\u2ee5': '鱼',  # ⻥ -> 鱼
+    '\u2ee8': '麦',  # ⻨ -> 麦
+    '\u2ee9': '黄',  # ⻩ -> 黄
+    '\u2ec9': '贝',  # ⻉ -> 贝
+    '\u2ee2': '马',  # ⻢ -> 马
+    '\u2edd': '食',  # ⻝ -> 食
+    '\u2ef0': '龙',  # ⻰ -> 龙
+    '\u2f18': '卜',  # ⼘ -> 卜
+    '\u2f1f': '土',  # ⼟ -> 土
+    '\u2f26': '子',  # ⼦ -> 子
+    '\u2f3c': '心',  # ⼼ -> 心
+    '\u2f42': '文',  # ⽂ -> 文
+    '\u2f60': '瓜',  # ⽠ -> 瓜
+    '\u2f6a': '皮',  # ⽪ -> 皮
+    '\u2f6c': '目',  # ⽬ -> 目
+    '\u2f7a': '羊',  # ⽺ -> 羊
+    '\u2f7f': '耳',  # ⽿ -> 耳
+    '\u2f90': '衣',  # ⾐ -> 衣
+    '\u2f95': '谷',  # ⾕ -> 谷
+    '\u2fa6': '金',  # ⾦ -> 金
+}
+
+def normalize_text(text):
+    """Replace CJK radical characters with standard Hanzi."""
+    result = []
+    for ch in text:
+        result.append(_RADICAL_MAP.get(ch, ch))
+    return ''.join(result)
+
+# Load reference (侯 report) for nutritional values
+ref_path = os.path.join(path, '530010234-侯-个体化食物推荐表.csv')
+ref_nutrition = {}  # name -> {field: value}
+with open(ref_path, 'r', encoding='utf-8-sig') as f:
+    for row in csv.DictReader(f):
+        ref_nutrition[row['名称']] = {k: row[k] for k in ['能量KJ','蛋白g','脂肪g','碳水化合物g','淀粉g','总膳食纤维g','胆固醇mg']}
+
+def parse_compressed_v2(text):
+    """Parse compressed format (朱评估报告 style) using reference nutrition values."""
+    # Remove header
+    header = '名称分类推荐指数能量KJ蛋白g脂肪g碳水化合物g淀粉g总膳食纤维g胆固醇mg'
+    rest = text
+    if header in rest:
+        rest = rest.replace(header, '')
+    
+    # Remove known junk patterns
+    skip_kws = ['根据您的肠道菌群', '分值从-100', '食物推荐考虑', '食物推荐是综合',
+                '需要注意的是', '本饮食推荐', '该饮食推荐根据', '后续表格中的营养',
+                '肠道菌群健康检测报告说明', '检测方法及局限性', '数据分析及模型',
+                '本报告中的检测', '以上模型预测', '结果解读及使用', '正常范围的定义',
+                '影响因素说明', '建议将检测结果', '营养建议说明', '报告中的食物推荐',
+                '重要提示', '推荐食物清单', '实际食用时需结合', '如有特殊疾病',
+                '免责声明', '本检测报告仅供', '16S 高通量测序', '基于机器学习和']
+    for kw in skip_kws:
+        rest = rest.replace(kw, '')
+    
+    rows = []
+    
+    while rest:
+        # Find earliest category
+        best_cat, best_idx = None, len(rest)
+        for cat in known_cats:
+            idx = rest.find(cat)
+            if idx != -1 and idx < best_idx:
+                best_idx, best_cat = idx, cat
+        if best_cat is None:
+            break
+        
+        name = rest[:best_idx]
+        rest = rest[best_idx + len(best_cat):]
+        
+        # Extract digit string
+        num_str = ''
+        while rest and (rest[0].isdigit() or rest[0] in '-\u2212\u2014'):
+            c = rest[0]
+            if c in '\u2212\u2014':
+                c = '-'
+            num_str += c
+            rest = rest[1:]
+        
+        if not name or not num_str:
+            continue
+        
+        # Try to decode using reference
+        decoded = decode_num_str(name, num_str)
+        if decoded:
+            rows.append(dict(zip(columns, [name, best_cat] + [str(v) for v in decoded])))
+    
+    return rows
+
+def decode_num_str(name, s):
+    """Decode 8-field number string using reference nutrition values."""
+    # Expected 7 nutrition values from reference
+    ref_vals = ref_nutrition.get(name)
+    if ref_vals:
+        ref_nums = [int(ref_vals[k]) for k in ['能量KJ','蛋白g','脂肪g','碳水化合物g','淀粉g','总膳食纤维g','胆固醇mg']]
+    else:
+        ref_nums = None
+    
+    raw = s.lstrip('-')  # remove leading dash from 推荐指数
+    has_neg = s.startswith('-')
+    
+    results = []
+    
+    # Try all possible splits for 推荐指数 (1 or 2 digits) and 能量KJ (2-4 digits)
+    for rec_len in range(1, 3):
+        if rec_len > len(raw):
+            continue
+        rec_str = '-' + raw[:rec_len] if has_neg else raw[:rec_len]
+        rec_val = int(rec_str)
+        if not (-100 <= rec_val <= 100):
+            continue
+        
+        # Now try to split the remaining 7 fields
+        remain = raw[rec_len:]
+        candidates = split_7_fields(remain)
+        
+        for nums in candidates:
+            full = [rec_val] + nums
+            if len(full) == 8:
+                # If we have reference values, check match (allow 1-char shifts)
+                if ref_nums:
+                    matches = sum(1 for i in range(7) if ref_nums[i] == nums[i])
+                    if matches >= 6:
+                        results.append(full)
+                else:
+                    results.append(full)
+    
+    if not results:
+        return None
+    
+    # Pick best: max nutrition matches, then shortest rec_len
+    if ref_nums:
+        def score(r):
+            matches = sum(1 for i in range(7) if ref_nums[i] == r[1:][i])
+            # Penalize rec_len=2 slightly (prefer 1-digit rec)
+            return (matches, -len(str(abs(r[0]))))
+        results.sort(key=score, reverse=True)
+    
+    r = results[0]
+    if ref_nums:
+        matches = sum(1 for i in range(7) if ref_nums[i] == r[1:][i])
+        if matches < 6:
+            return None
+    
+    return r
+
+def split_7_fields(s):
+    """Split remaining string into 7 numeric fields using width heuristics."""
+    results = []
+    # Expected widths (min, max) for each field after 能量KJ
+    # 能量KJ: 2-4, 蛋白: 1-2, 脂肪: 1-2, 碳水: 1-2, 淀粉: 1-2, 膳食纤维: 1-2, 胆固醇: 1-4
+    ranges = [(2,4), (1,2), (1,2), (1,2), (1,2), (1,2), (1,4)]
+    
+    def backtrack(pos, field_idx, nums):
+        if field_idx == 7:
+            if pos == len(s):
+                results.append(list(nums))
+            return
+        if pos >= len(s):
+            return
+        min_w, max_w = ranges[field_idx]
+        for w in range(min_w, min(max_w + 1, len(s) - pos + 1)):
+            chunk = s[pos:pos+w]
+            if chunk.isdigit():
+                val = int(chunk)
+                # 胆固醇 can be up to 4 digits (>999), allow common values
+                if field_idx == 0:  # 能量KJ - typically >= 100 for meaningful foods
+                    pass  # allow all
+                backtrack(pos+w, field_idx+1, nums+[val])
+    
+    backtrack(0, 0, [])
+    return results
+
+def parse_vertical(all_lines):
+    rows = []
+    i = 0
+    while i + 9 < len(all_lines):
+        name = all_lines[i].strip()
+        cat = all_lines[i+1].strip()
+        if cat not in known_cats:
+            i += 1
+            continue
+        nums = []
+        ok = True
+        for j in range(2, 10):
+            try:
+                v = all_lines[i+j].replace('\u2212', '-').replace('\u2014', '-').strip()
+                int(v)
+                nums.append(v)
+            except:
+                ok = False
+                break
+        if ok and len(nums) == 8:
+            rows.append(dict(zip(columns, [name, cat] + nums)))
+        i += 1
+    return rows
+
+def detect_format(text):
+    lines = [l.strip() for l in text.split('\n') if l.strip() and not re.match(r'^\d+/\d+$', l)]
+    if not lines:
+        return 'unknown'
+    long_line_count = sum(1 for l in lines[:10] if len(l) > 100)
+    cat_count = sum(1 for l in lines[:80] if l.strip() in known_cats)
+    
+    if len(lines) <= 3 and len(lines[0]) > 200:
+        return 'compressed'
+    if long_line_count >= 3:
+        return 'compressed'
+    if cat_count >= 5:
+        return 'vertical'
+    return 'unknown'
+
+for pdf_file in sorted(os.listdir(path)):
+    if not pdf_file.endswith('.pdf'):
+        continue
+    report_name = pdf_file.replace('.pdf', '')
+    pdf_path = os.path.join(path, pdf_file)
+    try:
+        reader = PdfReader(pdf_path)
+    except:
+        print(f'ERROR {report_name}')
+        continue
+
+    food_start = None
+    for i, page in enumerate(reader.pages):
+        if '个体化食物推荐表' in page.extract_text():
+            food_start = i
+            break
+    if food_start is None:
+        print(f'SKIP {report_name}')
+        continue
+
+    print(f'{report_name}...', end=' ')
+    first_data = normalize_text(reader.pages[food_start + 1].extract_text())
+    fmt = detect_format(first_data)
+    print(f'[{fmt}]', end=' ')
+
+    food_rows = []
+    if fmt == 'compressed':
+        for i in range(food_start + 1, len(reader.pages)):
+            text = normalize_text(reader.pages[i].extract_text())
+            # Remove page numbers
+            text = re.sub(r'\d+/\d+', '', text)
+            food_rows.extend(parse_compressed_v2(text))
+    else:
+        all_lines = []
+        for i in range(food_start + 1, len(reader.pages)):
+            for line in normalize_text(reader.pages[i].extract_text()).split('\n'):
+                lt = line.strip()
+                if not lt or re.match(r'^\d+/\d+$', lt) or lt in columns:
+                    continue
+                if len(lt) > 60 and any(k in lt for k in ['根据您的', '分值从', '食物推荐', '需要注意', '本饮食推荐', '该饮食推荐', '后续表格']):
+                    continue
+                all_lines.append(lt)
+        food_rows = parse_vertical(all_lines)
+
+    print(f'{len(food_rows)} entries')
+
+    if food_rows:
+        csv_name = f'{report_name}-个体化食物推荐表.csv'
+        csv_path = os.path.join(outdir, csv_name)
+        with open(csv_path, 'w', newline='', encoding='utf-8-sig') as f:
+            writer = csv.DictWriter(f, fieldnames=columns)
+            writer.writeheader()
+            writer.writerows(food_rows)
+        print(f'  -> {csv_name}')
+
+# ── Step 2: 生成推荐指数汇总表（标准营养 + 每人推荐指数） ──
+print('\n--- 生成推荐指数汇总表 ---')
+
+# 用侯报告作为标准营养参考（224条最完整）
+ref_csv = os.path.join(outdir, '530010234-侯-个体化食物推荐表.csv')
+if os.path.exists(ref_csv):
+    with open(ref_csv, 'r', encoding='utf-8-sig') as f:
+        std_rows = list(csv.DictReader(f))
+    std_lookup = {}
+    for r in std_rows:
+        name = r['名称']
+        std_lookup[name] = {k: r[k] for k in ['分类','能量KJ','蛋白g','脂肪g','碳水化合物g','淀粉g','总膳食纤维g','胆固醇mg']}
+
+    # 收集每份报告的推荐指数
+    rec_lookups = {}
+    report_labels = {'501999942-某人-个体化食物推荐表.csv': '某人',
+                     '530010234-侯-个体化食物推荐表.csv': '侯',
+                     '547982403-个体化食物推荐表.csv': '547982403',
+                     '儿童示例-个体化食物推荐表.csv': '儿童示例',
+                     '朱评估报告-个体化食物推荐表.csv': '朱评估报告'}
+    for csv_name, label in report_labels.items():
+        p = os.path.join(outdir, csv_name)
+        if os.path.exists(p):
+            with open(p, 'r', encoding='utf-8-sig') as f:
+                for row in csv.DictReader(f):
+                    rec_lookups.setdefault(label, {})[row['名称']] = row['推荐指数']
+
+    sum_cols = ['名称','分类','能量KJ','蛋白g','脂肪g','碳水化合物g','淀粉g','总膳食纤维g','胆固醇mg',
+                '某人','侯','547982403','儿童示例','朱评估报告']
+    sum_path = os.path.join(outdir, '推荐指数汇总.csv')
+    with open(sum_path, 'w', newline='', encoding='utf-8-sig') as f:
+        w = csv.DictWriter(f, fieldnames=sum_cols)
+        w.writeheader()
+        for r in std_rows:
+            name = r['名称']
+            s = std_lookup[name]
+            row = {'名称': name, '分类': s['分类'],
+                   '能量KJ': s['能量KJ'], '蛋白g': s['蛋白g'], '脂肪g': s['脂肪g'],
+                   '碳水化合物g': s['碳水化合物g'], '淀粉g': s['淀粉g'],
+                   '总膳食纤维g': s['总膳食纤维g'], '胆固醇mg': s['胆固醇mg']}
+            for label in ['某人','侯','547982403','儿童示例','朱评估报告']:
+                row[label] = rec_lookups.get(label, {}).get(name, '')
+            w.writerow(row)
+    print(f'推荐指数汇总表: {len(std_rows)} 行 -> {sum_path}')
+    for label in ['某人','侯','547982403','儿童示例','朱评估报告']:
+        missing = sum(1 for r in std_rows if not rec_lookups.get(label, {}).get(r['名称'], ''))
+        print(f'  {label}: 缺失 {missing} 条')
+
+print('\nDone!')