feat(h5): align October UI and add WeChat auth with saved reports

2026-10-11 17:28:11 +08:00
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+# UI 外发版 10.09 图片资源
+
+来源：用户提供的 `UI外发版10.09.psd`。按 Photoshop 图层原样导出，未重新生成或重绘素材。
+
+## 文件位置
+
+- `pages/`：10 个画板的原尺寸 PNG，宽 1080px。包含登录、启动、授权弹窗、我的报告、档案填写、拍照弹窗、三视图拍照及长报告。
+- `pages-overview.jpg`：全部页面缩略总览，按 PSD 原始画板顺序排列。
+- `assets-overview.jpg`：独立切图总览。
+- `manifest.json`：页面与切图的尺寸、文件名、图层索引、边界、可见状态及 SHA-256；同时保存完整图层树及文字，便于后续还原。
+- `../../h5/assets/img/ui-20261009/`：新版页面使用的独立图片，与旧版素材分开存放。H5 使用去除原生顶栏的 `*-h5.jpg` 衍生背景。
+
+## 前端素材对应
+
+| 文件 | 用途 |
+| --- | --- |
+| `bg-splash.jpg` | 启动页原始照片，不含独立标题、Logo 与按钮 |
+| `bg-profile.jpg` / `bg-login.jpg` | 档案页 / 登录页背景，按画板裁剪，保留设计里的叠色 |
+| `bg-report.jpg` / `bg-history.jpg` | 长报告 / 我的报告页纯背景，按画板裁剪 |
+| `skin-0-dry.png` … `skin-4-mixedoily.png` | 五档肤质插画；也导出了隐藏状态中的变体 |
+| `product-25.png` / `product-35.png` / `product-50.png` | 三档产品图，分别取对应产品组中的主视觉图层 |
+| `brand-*.png` / `product-badge.png` | 品牌标志与产品标志 |
+| `icon-*.png` | 关闭、返回、下拉、相册、切换相机、快门、微信、游客图标 |
+| `score-ring-*.png` | 设计稿中的评分环参考素材；实际评分仍应动态绘制 |
+| `camera-mask-front.png` / `camera-mask-right.png` / `camera-mask-left.png` | 三步拍照轮廓蒙版，保留画板坐标与透明区域 |
+| `camera-guide-front.png` / `camera-guide-right.png` / `camera-guide-left.png` | 对应三步的眼睛与鼻梁虚线定位叠层，与蒙版使用相同画板坐标 |
+| `sample-*.png` | 设计稿内检测示意图，仅供视觉参考，不代替用户真实检测图 |
+
+照片使用高质量渐进 JPG；其他素材使用 PNG 保留透明通道。切图按原图层尺寸输出，不强行放大，不将文字与按钮烘焙进背景。整页预览保留设计稿原有系统状态栏和重复/隐藏图层状态。
+
+`sample-lines.png` 来自隐藏的备选示意图层，设计文件内各分类存在重复示意图，文件名不表示图片已经过该项目评分引擎的真实检测。产品图按主视觉独立导出，卡片圆角和裁剪需由前端容器实现。
+
+注意：PSD 的画板名「左面」实际文案为第 2 步「右脸出镜」，「右面」实际文案为第 3 步「左脸出镜」。切图按文案中的用户脸部方向命名，清单保存了对应图层路径。
+
+## 重新导出
+
+```bash
+python -m pip install psd-tools Pillow aggdraw
+python tools/export_psd_assets.py '/absolute/path/UI外发版10.09.psd'
+```
+
+重新导出会更新本版本目录内的导出文件，不会覆盖 `h5/assets/img/` 下原有同名线上图片。
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+    "height": 726
+  },
+  "pages": {
+    "01-splash": {
+      "screen": "s-splash",
+      "text": "Life in Full\n为更好的生命表现\n\n肌肤状态检测\n开始检测",
+      "overlays": [],
+      "rects": [
+        {
+          "class": "splash-slogan",
+          "rect": {
+            "x": 0,
+            "y": 77.671875,
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+            "height": 63.46875,
+            "top": 77.671875,
+            "right": 375,
+            "bottom": 141.140625,
+            "left": 0
+          }
+        },
+        {
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+          "rect": {
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+            "right": 375,
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+            "left": 0
+          }
+        }
+      ]
+    },
+    "02-privacy": {
+      "screen": "s-splash",
+      "text": "Life in Full\n为更好的生命表现\n\n肌肤状态检测\n开始检测",
+      "overlays": [
+        {
+          "id": "p-privacy",
+          "text": "欢迎体验1'me\n肌肤状态评估服务！\n\n我们将采集您的面部影像，为您生成专属肌肤分析与状态管理方案。所有数据严格保密，仅用于本次检测分析。\n\n我已阅读并同意相关隐私协议\n继续"
+        }
+      ],
+      "rects": [
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+          "class": "splash-slogan",
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+            "left": 0
+          }
+        }
+      ]
+    },
+    "03-profile": {
+      "screen": "s-profile",
+      "text": "您的肌肤状态\n您的出生年月\n您的性别\n您的所在地区\n您的日常肤质\n偏干\n偏油\n水油平衡\n干性肌肤\n\n全脸干燥，容易紧绷、缺乏光泽\n\n混合偏干肌肤\n\n两颊偏干，T区油脂较少或偶尔出油\n\n中性肌肤\n\n水油平衡，肤感舒适，无明显干燥出油\n\n油性肌肤\n\n全脸易出油，容易泛油光、毛孔明显\n\n混合偏油肌肤\n\nT区易出油，两颊相对清爽或轻微干燥\n\n提交",
+      "overlays": [],
+      "rects": [
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+            "right": 375,
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+        {
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+            "height": 31,
+            "top": 34,
+            "right": 311,
+            "bottom": 65,
+            "left": 64
+          }
+        }
+      ]
+    },
+    "04-guide": {
+      "screen": "s-profile",
+      "text": "您的肌肤状态\n您的出生年月\n1996年1月\n您的性别\n女\n您的所在地区\n北京市\n您的日常肤质\n偏干\n偏油\n水油平衡\n干性肌肤\n\n全脸干燥，容易紧绷、缺乏光泽\n\n混合偏干肌肤\n\n两颊偏干，T区油脂较少或偶尔出油\n\n中性肌肤\n\n水油平衡，肤感舒适，无明显干燥出油\n\n油性肌肤\n\n全脸易出油，容易泛油光、毛孔明显\n\n混合偏油肌肤\n\nT区易出油，两颊相对清爽或轻微干燥\n\n提交",
+      "overlays": [
+        {
+          "id": "p-photoguide",
+          "text": "Life in Full\n为更好的生命表现\n\n请拍摄或上传\n正面及左右侧面照片\n开始"
+        }
+      ],
+      "rects": [
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+            "top": 0,
+            "right": 375,
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+        },
+        {
+          "class": "page-title",
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+            "height": 31,
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+            "right": 311,
+            "bottom": 65,
+            "left": 64
+          }
+        }
+      ]
+    },
+    "05-camera-front": {
+      "screen": "s-cam",
+      "text": "1/3\n请正对屏幕\n\n检测引擎加载中…\n\n识别不到?请正对镜头,并到光线充足处\n\n正脸拍摄完成\n准备拍摄下一张\n正脸居中\n取下眼镜\n光线充足",
+      "overlays": [],
+      "rects": [
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+          "class": "cam-step",
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+        {
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+        }
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+    },
+    "06-camera-right": {
+      "screen": "s-cam",
+      "text": "1/3\n请正对屏幕\n\n检测引擎加载中…\n\n识别不到?请正对镜头,并到光线充足处\n\n正脸拍摄完成\n准备拍摄下一张\n正脸居中\n取下眼镜\n光线充足",
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+            "left": 0
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+        }
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+    },
+    "07-camera-left": {
+      "screen": "s-cam",
+      "text": "2/3\n请右脸出镜\n\n检测引擎加载中…\n\n识别不到?请正对镜头,并到光线充足处\n\n正脸拍摄完成\n下一张:右脸出镜\n请向左转头\n右脸居中\n取下眼镜\n光线充足",
+      "overlays": [],
+      "rects": [
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+          "class": "cam-step",
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+            "left": 0
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+        }
+      ]
+    },
+    "08-report-top": {
+      "screen": "s-report",
+      "text": "您的肌肤状态表现\n70分\n综合评分\n肌肤年龄\n27岁\n比实际年龄年轻1岁\n紧塑力\n7.7\n优先关注\n活力感\n8.7\n稳定力\n9.1\n近期优先关注：紧塑力\n紧塑提拉力，轮廓上扬不松垮。\n紧塑力\n活力感\n稳定力\n轮廓\n\n下颌线角度左104.54°/右103.75°（标准区间116–120°，双侧均偏离标准，提示下颌缘支撑力下降）；眼袋1级、黑眼圈1级；中面部支撑与轮廓清晰度处于预警水平。建议加强轮廓紧致护理：重点针对下颌线与下颌缘区域使用紧致类精华，配合由下向上的提拉按摩手法，同时加强眼周支撑护理，将紧致防线前置。\n\n皱纹\n\n全脸皱纹159条、细纹150条，最差区域为左嘴角纹（分区分77，最高严重度3级），部分区域已现静态纹趋势。建议针对眼周、法令纹等高发区使用视黄醇/胜肽类淡纹精华，遏制静态纹转化。\n\n*您的肌肤状态会随年龄、环境、作息和生活节奏动态变化。\n*本次检测仅代表当前肌肤状态参考。\n\n护理建议\n\n1、你的日常肤质为干性肌肤：全脸皮脂分泌偏少，角质层保水能力弱，易紧绷起屑。护理以高效保湿与封闭锁水为核心，洁面选用温和低泡产品，避免频繁去角质，面霜可选择含神经酰胺、角鲨烷等封闭性成分的配方。\n\n2、加强纹路分级管理，重点针对眼周、法令纹等动态纹高发区域，使用视黄醇/胜肽类淡纹精华并配合点按手法，遏制静态纹转化。\n\n3、加强细腻度管理，避免过度清洁破坏角质屏障，重点关注毛孔显著区域，配合低浓度酸类（如水杨酸）周期护理与柔润精华。\n\n4、建议搭配使用35+支撑精华：专为轻熟肌打造，提升弹韧表现、维持面部轮廓清晰度，改善疲态并延缓衰老速度。\n\n5、保持侧卧改仰卧的睡姿习惯，减少枕巾摩擦；控制屏幕时间，缓解眼周疲劳\n\n好状态，是内外同调的长期节奏。\n\n精华推荐\n\n35+支撑精华\n\n推荐依据：皱纹得分偏低\n\n感受高光时刻\n从日常的好状态开始\n以我自在有势挺括\n双仓精华液\n\n参透皮下根源 28天校准皮肤状态\n\n了解更多",
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+      "text": "您的肌肤状态表现\n70分\n综合评分\n肌肤年龄\n27岁\n比实际年龄年轻1岁\n紧塑力\n7.7\n优先关注\n活力感\n8.7\n稳定力\n9.1\n近期优先关注：紧塑力\n紧塑提拉力，轮廓上扬不松垮。\n紧塑力\n活力感\n稳定力\n光滑\n\n皮肤表面平整度较低，最差毛孔区位于额头（分区毛孔分32），粗大毛孔1041颗、黑头113颗，T区出油面积57%、左右脸颊20%/2%，纹理分仅82，整体细腻度不足。建议避免过度清洁，重点关注额头，配合低浓度酸类周期护理与柔润精华。\n\n肤色水润\n\n肤色ITA 58.6（极白，HA 56.2），色素分92，整体稳定但存在局部暗沉倾向（未见明显色斑标记，检出褐色斑37处）；水分分78，缺水面积19.8%、严重度22。建议加强抗氧化与光泽管理，做好基础防晒与补水。\n\n*您的肌肤状态会随年龄、环境、作息和生活节奏动态变化。\n*本次检测仅代表当前肌肤状态参考。\n\n护理建议\n\n1、你的日常肤质为干性肌肤：全脸皮脂分泌偏少，角质层保水能力弱，易紧绷起屑。护理以高效保湿与封闭锁水为核心，洁面选用温和低泡产品，避免频繁去角质，面霜可选择含神经酰胺、角鲨烷等封闭性成分的配方。\n\n2、加强纹路分级管理，重点针对眼周、法令纹等动态纹高发区域，使用视黄醇/胜肽类淡纹精华并配合点按手法，遏制静态纹转化。\n\n3、加强细腻度管理，避免过度清洁破坏角质屏障，重点关注毛孔显著区域，配合低浓度酸类（如水杨酸）周期护理与柔润精华。\n\n4、建议搭配使用35+支撑精华：专为轻熟肌打造，提升弹韧表现、维持面部轮廓清晰度，改善疲态并延缓衰老速度。\n\n5、保持侧卧改仰卧的睡姿习惯，减少枕巾摩擦；控制屏幕时间，缓解眼周疲劳\n\n好状态，是内外同调的长期节奏。\n\n精华推荐\n\n35+支撑精华\n\n推荐依据：皱纹得分偏低\n\n感受高光时刻\n从日常的好状态开始\n以我自在有势挺括\n双仓精华液\n\n参透皮下根源 28天校准皮肤状态\n\n了解更多",
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@@ -0,0 +1,55 @@
+# 10.09 新版 H5 实施与验收
+
+更新：2026-10-10。
+
+## 按确认项实现
+
+- 保持 H5，无额外网页导航栏，不仿造系统/微信顶部栏。
+- 登录在首页之前；复用现有协议弹层。微信网页授权链路已实现，当前内网使用本机浏览器身份，公网限制与部署见《微信登录接入与公网部署说明》。
+- 首页更新口号、背景和品牌图，增加「我的报告」。修正重复入口、出镜错字。
+- 我的报告独立页面，数量、日期、查看详情、空/失败状态；读取当前账号最近 5 份后端报告。
+- 档案页换用新版背景和五类肤质插画，保留原选择器和校验。
+- 相机轮廓与眼鼻定位虚线从 PSD 素材提取，前→右→左流程、自动抓拍、降级、语音和前后摄像头逻辑保持。
+- 汇总卡合并，名称为「生物可视年龄」「紧塑力」「透亮感」「稳韧力」，不照抄设计样例中的数值。
+- 七项视图分成三个独立 Tab 组：轮廓/皱纹；肤色/平滑度/水分；泛红/痘痘。使用真实检测图层或用户照片，不把设计里的模特检测图当成检测结果。
+- 根据 `reference/AI测肤报告页话术修改.md` 生成新结论和护理建议。无效字段不冒充 0，无图层明确说明。
+- 只显示原算法选中的一款主场精华 I / II / III，不可点击，移除「了解更多」占位入口。
+- MiSans 官方原始 Web 字体本地提供，未改造字体文件；「我的报告」底部注明字体使用。
+
+## 文档未定义部分的实施口径
+
+话术文档没有新增计分公式或阈值，因此原六分类/三维度评分、肌龄计算及精华推荐规则不变。旧分档「预警/改善/良好」按低/中/高顺序映射为新文案的「改善/良好/优秀」。肤色和水分拆分展示，但继续共享原 `tone` 分类的分档，**不是新增独立评分算法**。
+
+痘痘话术按真实脓包/结节计数决定是否输出中重度皮损说明；没有计数不宣称「未检出」。当真实计数与高分模板冲突时，展示层选择可反映计数的文案，不改变原分数。
+
+护理建议按原六分类得分选取最需要关注的两项，拼接文档对应的「护理 + 生活方式」；若命中肤色水润，分别展示肤色与水分建议，可能为三段。设计里的示例两段不作为截断真实文本的硬限制。
+
+历史详情读取保存时的 `vm`、`presentation`、照片、图层，不用当前评分/话术重新生成历史数据。图像合成有渲染版本防护，切换报告时不会串用上一份图片。
+
+## 验证命令
+
+```bash
+node h5/js/skin-score.js
+node h5/test/regression.js
+node h5/test/accounts.js
+node h5/test/report-persistence.mjs
+node h5/test/wechat-browser.mjs
+node h5/test/ui-20261009.mjs
+node h5/test/e2e-browser.mjs
+```
+
+浏览器测试需要全局 Playwright 与 Chromium，沿用项目既有环境。`ui-20261009.mjs` 默认访问本地 8080，可用 `H5_BASE_URL` 覆盖；`report-persistence.mjs` 单独启用 18089 临时服务和临时数据目录，不写入日常报告，不调用收费 Face++。
+
+本轮结果：评分模块自测 83 条、真值回归 86 条通过；账号隔离、恢复登录、重启持久化、最近 5 条、OAuth state 防重放/子路径检查通过；模拟上游的完整 HTTP 链路验证七张图片及文案刷新回看完全一致；三连拍与语音端到端检查通过；320/390/480px 宽度无横向溢出，浏览器无脚本异常。
+
+截图位于 `design/ui-20261009/verification/`。这些是本地 Chromium/样本数据检查，不等于真实手机摄像头或微信公网账号验收。本轮没有触发真实 Face++ 收费请求。
+
+## 素材再生成
+
+```bash
+python tools/export_psd_assets.py /你的路径/UI外发版10.09.psd
+python tools/prepare_h5_assets.py
+python tools/build_report_copy.py
+```
+
+PSD 导出依赖 psd-tools/Pillow/aggdraw；H5 裁剪与相机轮廓提取还使用 numpy/opencv-python。原始导出保留，`*-h5.jpg` 是去除原生顶栏后的衍生背景；相机几何写入 `h5/js/camera-geometry.js`。
@@ -0,0 +1,25 @@
+# 提交前 Review（2026-10-11）
+
+范围：10.09 H5 UI、浏览器/微信身份、后端报告快照、部署说明；重点检查公网调试前的访问控制和回调路径。
+
+## 已发现并修复
+
+1. **P1：静态敏感路径可被重复/编码斜杠绕过。** 原先先按原始路径检查 `/data`、`/lib`、`/server.js`，文件读取时才规范化；`/%2fserver.js` 实测返回 200。现统一斜杠并规范化后再授权，额外禁止访问 `JUZI_DATA_ROOT`。新增原始 HTTP 路径测试，覆盖双斜杠、编码斜杠、反斜杠和父目录段；修复后源码路径返回 404，数据目录返回拒绝响应。
+2. **P2：nginx 后的用户共用登录限流。** 原限流只看 TCP 对端，代理后全站共用回环地址的每分钟 60 次额度。新增显式 `TRUST_LOOPBACK_PROXY=1`，仅信任回环代理覆盖的合法 `X-Real-IP`；文档同步 nginx 配置。已测试不同 IP 额度独立，以及未启用信任时伪造请求头不能绕过限流。
+
+## 验证
+
+- 评分模块自测：83 通过；真值回归：86 通过。
+- 账号/报告：权限隔离、最近 5 份、重启恢复、浏览器凭据恢复、会话退出、OAuth state 绑定和重放检查通过。
+- 完整检测 API→保存→回看：使用模拟上游，不调用收费 Face++；七张图片和话术刷新后完全一致。
+- UI 与三连拍：协议校验、登录回退、移动端布局、三视角流程、语音均通过。
+- `wechat-browser.mjs`：使用临时 HTTPS 证书和 `/state/` 反代路径，验证前端微信按钮→模拟授权站点→服务端回调→Secure/HttpOnly/SameSite Cookie→首页/报告。两个独立浏览器上下文关联同一模拟 OpenID。此测试需要本地 OpenSSL 和 Playwright。
+
+## 仍需公网/业务确认
+
+- 未使用真实微信 AppID/AppSecret 联调，公众号权限、网页授权域名及真实手机回调需在公网验收。
+- Node 管理接口仍依赖 nginx Basic Auth，公网只能反代访问，不能暴露 Node 端口。文件存储仅支持单进程。
+- 浏览器与微信账号不自动合并；先用本机身份产生的报告不会自动出现在微信账号中。
+- 已有协议是 Face++ 隐私政策，品牌方账号关联、报告保留/删除范围仍需业务确认；不应将当前版本视作已完成正式发布合规审核。
+
+提交范围不含真实密钥、`h5/data`、PSD 原稿及 Windows Zone.Identifier 元数据。代码、运行素材、文案来源、测试和部署说明一起提交，便于服务器复现。
@@ -0,0 +1,195 @@
+# UI 对齐 10.09 设计稿：调研与实施计划
+
+调研日期：2026-10-10。阶段：调研与计划，尚未修改业务页面。
+
+## 1. 结论和依据
+
+这次更新包括三个层面：既有页面的视觉对齐、报告页的结构重做、新增登录与报告列表流程。仅替换图片不能达到设计稿效果。
+
+依据：
+
+- 最新 PSD：`UI外发版10.09.psd`，10 个画板；采用 `design/ui-20261009/manifest.json` 的图层与文本信息，不再把旧 `design/设计规范.md` 当作新版尺寸依据。
+- 实际运行页面：`http://127.0.0.1:8080/?mock=1`。在独立 Chromium 上下文采集启动、授权、档案、拍照引导、三个拍照步骤和报告三组 Tab；另检查 375/390/414px 宽启动页。
+- 实测记录：`design/ui-20261009/audit-current/evidence.json`，本轮 15 张截图，未捕获到 JS 页面异常。拍照截图使用 mock/模拟摄像头，不能据此认定手机真实摄像头已通过验证。
+- 源码：`h5/index.html`、`h5/css/style.css`、`h5/js/app.js`、`h5/js/skin-score.js`、`h5/server.js` 和浏览器回归脚本。
+- 视觉对比：`design/ui-20261009/audit-current/comparison-flow.jpg` 与 `comparison-report.jpg`。每组左侧当前页面、右侧新设计；报告采用不同示例数据，只比较结构与样式，不比较数值与照片内容。
+
+当前技术栈是原生 HTML/CSS/JS + Node 服务。继续沿用即可，没有必要为此次还原引入前端框架。
+
+## 2. 统一比较口径
+
+PSD 标准画板为 1080×2339，报告长页为 1080×7765。375px 宽页面的换算系数为 2.88。
+
+设计顶部约 248px 是系统状态栏与微信标题/胶囊区域。当前 H5 将这块交给浏览器容器，业务页面没有顶部导航。因此本次常规页面对比裁掉该区域，统一为约 375×726 的业务视口；报告顶部按其自身画板标题栏边界约 253px 处理。
+
+建议以「H5 业务内容还原」验收，不在网页里重复绘制电量、时间、信号和小程序胶囊。是否增加网页自己的标题/返回栏需要单独确定；新增一条导航栏会改变所有页面的纵向坐标，不能等页面完成后再决定。
+
+设计实测尺寸（375px 宽基准）：
+
+| 元素 | PSD 尺寸 | 换算后尺寸 | 更新要点 |
+| --- | --- | --- | --- |
+| 首页主/次按钮 | 522×112 | 181.3×38.9 | 当前主按钮高 37px，需统一到新版 |
+| 弹窗 | 887×902 | 308.0×313.2 | 统一位置、内边距与文案行距 |
+| 弹窗关闭图标 | 51×50 | 17.7×17.4 | 图形按设计大小，触摸区域单独扩大 |
+| 档案单列输入框 | 325×112 | 112.8×38.9 | 对齐双列间距、标签间距 |
+| 肤质选择卡 | 713×808 | 247.6×280.6 | 配合新插画和文字宽度 |
+| 肤质插画 | 316×316 | 109.7×109.7 | 五种状态均已导出 |
+| 报告汇总卡 | 982×696 | 341.0×241.7 | 合并当前两张卡 |
+| 报告分类卡 | 983×1177 | 341.3×408.7 | 改为大图在上、正文在下 |
+| 分类展示图片框 | 619×802 | 214.9×278.5 | 真实照片按比例呈现，标注坐标保持一致 |
+| 产品卡 | 984×503 | 341.7×174.7 | 三张卡统一规格 |
+
+这些是基准几何，不代表真实数据页面一律固定高度。长护理建议、缺数据提示等内容应自然撑高，避免截断。
+
+PSD 字体包含 MiSans Regular / Semibold / Demibold；当前 CSS 使用 Noto Sans SC / PingFang / 系统字体，项目未发现配套字体文件。字体会影响换行、数字宽度和字重。实施时优先准备可用于 Web 的对应字体文件，或明确接受系统字体近似。PSD 文本字号还要结合图层变换矩阵计算，不能只读原始 FontSize 就直接换算。
+
+## 3. 逐页差异和调整内容
+
+| 页面 | 当前实现 | 最新设计 | 具体工作 |
+| --- | --- | --- | --- |
+| 登录 | 无登录页面、无身份状态 | 品牌标志、微信登录、游客登录、协议勾选 | 新增页面与入口状态；游客通路和真实微信认证分别验收 |
+| 启动 | 旧口号、单个「开始检测」按钮 | 英文两行 + 中文口号；新增白色「我的报告」按钮 | 更新文案、背景构图、Logo/按钮间距，增加历史入口 |
+| 隐私授权 | 直接覆盖当前首页，仍露出首页口号和按钮 | 遮罩底图没有首页交互内容 | 采用独立背景层；校准弹窗位置、字号、关闭图标和勾选行 |
+| 档案填写 | 结构基本完整，旧肤质插画；表单整体偏下，背景构图不同 | 相同字段与轮播，但几何、字重、背景不同 | 复用选择器与字段校验，重新标定间距、卡片、五种插画和底部按钮 |
+| 拍照引导 | 旧口号；标题居中；没有环境要求说明 | 新口号；标题左对齐；补充关闭美颜/滤镜和均匀光线说明 | 更新背景、标题与说明，校准按钮位置 |
+| 三步拍照 | 旧脸型轮廓，无眼鼻虚线；首步「请正对屏幕」 | 新脸型、眼鼻虚线；首步「请正脸出境」 | 更新蒙版及定位线，文案建议纠正为「出镜」；复核前后镜头方向 |
+| 我的报告 | 存在隐藏历史弹层逻辑，没有可点击入口 | 独立页面，数量卡、日期列表、查看详情 | 将历史展示升级为页面，接通首页入口、返回和详情打开；补空列表状态 |
+| 报告汇总 | 总分/肌龄一张卡，三维度另一张；额外肌龄差、关注说明 | 总分、年龄、三维度在同一张卡 | 合并 DOM 与间距；显示名改为紧塑力/透亮感/稳韧力，处理设计未显示的说明 |
+| 报告详情 | 一个全局三维度 Tab，每页两个小图+侧边文字 | 三个纵向区块，每块自有分类 Tab，大图+下方文字 | 重构为独立区块及 Tab 状态，增加肤色/水分两个展示视图 |
+| 护理建议 | 五段动态文案和额外结尾句 | 设计只示意两段 | 对齐卡片和排版，保留动态文案；内容长度不能照示例硬截成两段 |
+| 产品推荐 | 额外精华推荐卡；固定一张 CORE II 产品图；「了解更多」占位按钮 | 主场精华 I/II/III 三张产品卡 | 三档素材/商品文案配置化；保留真实推荐逻辑，收敛重复模块 |
+
+实测的报告上半部分：当前总分卡 339×140，三维度卡约 339×201，中间有 12px 间隔；设计是一张约 341×242 的卡。这是明显的结构差异，靠缩字体和调颜色无法解决。
+
+当前首页和档案页的背景使用同一张图加 CSS 叠色；新版已导出独立背景，但不能把带叠色的 JPG 再叠一遍旧渐变，否则会过暗。背景和相机蒙版还需根据业务视口裁剪，不能直接把全画板 2339px 高图片拉伸到去掉顶部栏后的 2091px 区域。
+
+## 4. 报告数据如何接到新 UI
+
+建议增加展示适配层，例如 `h5/js/report-ui.js`。评分模块继续产出已有计算结果，适配层负责新版名称、分类视图、图片和商品展示，不把显示名写回数据库或评分公式。
+
+| 新 UI | 已有数据 | 展示适配 |
+| --- | --- | --- |
+| 紧塑力 | `vm.dims.firm` | 保留该维度评分 |
+| 透亮感 | `vm.dims.vita` | 将「活力感」映射为新显示名，包括相关关注提示 |
+| 稳韧力 | `vm.dims.stab` | 将「稳定力」映射为新显示名 |
+| 轮廓 | `vm.cats.contour` + 正脸照 | 大图及该分类文案 |
+| 皱纹 | `vm.cats.wrinkles` + `texture_enhanced_lines` | 保留增强线与原照片合成 |
+| 肤色 | `vm.cats.tone` 中肤色相关数据 + `brown_area` | 从合并分类中独立展示，须明确专属文案来源 |
+| 平滑度 | `vm.cats.smooth` + 已有标记/图层 | 改名并复用图像合成 |
+| 水分 | `vm.cats.tone` 中水分相关数据 + `water_area` | 独立图像/说明，不能声称新增了一项独立评分 |
+| 泛红 | `vm.cats.sens` + `red_area` | 显示名与红区合成图更新 |
+| 痘痘 | `vm.cats.acne` + 痤疮标记 | 复用坐标叠加 |
+
+当前服务端已经请求并保留 `brown_area` 和 `water_area`。当前 UI 的 `tone` 只展示水分图，因此图库接口不是主要阻碍；需要增加图片容器、展示配置及缺失图层状态。
+
+现有 `tone` 评分合并肤色与水分，话术也是合并话术。新版的七个图片视图，不应自动变成七分类评分。肤色和水分的独立文字应由确定的字段/模板产生；不能把同一段合并文案复制到两个 Tab 后视为完成。
+
+产品映射建议使用明确的配置表：已有「25+束紧精华 / 35+支撑精华 / 50+重塑精华」对应主场精华 I / II / III 的名称、图片和说明。实际推荐由已有多项判据决定，不能只按年龄选择。三张卡可以按设计全部展示；是否强调推荐卡应另定，避免擅自在设计上增加标签。
+
+重构图片异步加载时增加报告/视图版本标记，避免快速切 Tab 或历史报告后，较早的图片合成回调覆盖新页面。
+
+## 5. 登录与“我的报告”的真实能力缺口
+
+目前只有静态页面、检测 API、管理 API 与健康检查，没有面向用户的登录、会话或个人报告接口。管理后台记录不等于个人报告库，不能直接将后台查询接口接到“我的报告”。
+
+本机历史：`juzi.reports.v1`，最多 5 条，存储三张照片与结果，主动删除 `face_maps` 以减少容量。代码可打开旧报告，但图层类图片回看会降级。因而“恢复入口”可以复用较多代码，“跨设备完整回看”则需要新增服务端能力。
+
+建议分两个可验收阶段：
+
+1. **游客闭环**：登录页游客入口 → 首页 → 检测 / 我的报告 → 详情。本地报告列表如实表达当前保留数量，补空态、损坏记录、存储失败和返回行为。图层不全时明确缺失，不能用设计示例人脸补齐。
+2. **账号闭环**：明确微信公众号/H5 实际运行容器及可用配置后接入真实登录；建立会话、报告 owner 归属、用户范围内列表/详情/图片读取、退出及游客数据衔接。设计稿自身不能提供这些接口契约。
+
+第二阶段尚未落地前，不能把微信按钮接成“点击即登录成功”。希望完整实现设计中的微信登录功能，需要纳入后端和账号配置工作，而不只是 UI 工期。
+
+若要求游客也能完整回看，需要另选客户端持久化渲染缩略图/IndexedDB，或以受限凭据查询服务端结果；在明确存储策略前，不把大幅 base64 图层直接塞回现有 localStorage。
+
+## 6. 原稿中需要整理的内容
+
+以下来自对 PSD 可见图层及代码契约的核对，不能无条件当成正式需求：
+
+- 首页底部存在重复的「我的报告」文字图层，建议只保留一枚有效按钮。
+- 首步「请正脸出境」建议修正为「请正脸出镜」；报告标题多余的右括号、历史数量文案中的重复字也需校正。
+- 画板名「左面」文案是第 2 步右脸，「右面」文案是第 3 步左脸。以用户脸部语义和送检字段为准，不按画板名机械替换。
+- PSD 范例里有 5.1 分，但现行 S = 7 + 3×P/100 的正常 0–100 输入对应 7–10 分。5.1 只是设计示例；若它代表新评分规则，需独立修改业务契约。
+- 设计复用了检测示意图与描述，不能据此让所有真实分类显示同一张图或同一段话。
+- 两段护理建议与三张商品卡属于展示示例，需保留真实文案和推荐判据。
+- 新登录页列出用户协议、隐私政策、儿童保护政策；当前只有已有隐私弹层内容，缺少新入口各自明确的文本对应。实施时须确定已有文本的覆盖范围和最终链接。
+
+## 7. 实施顺序与交付物
+
+### P0：冻结视觉和数据基准
+
+- 确定 H5 顶栏口径、流程入口、字体，以及上面的设计示例处理方式。
+- 按画板重新整理 `--u`、卡片宽、间距、圆角、按钮高、字号和色值。
+- 复核 36 张切图：背景裁剪、透明边缘、产品剪贴边界；拍照眼鼻定位线应保留原稿虚线效果，不能只依赖可能近似的 PSD 矢量栅格结果。
+- 建立固定的视觉测试数据和「缺图/空态」样例，与真实评分数据分开。
+- 交付：新版尺寸表、素材映射、显示字段映射、确定的页面路由。
+
+### P1：公共样式与既有入口流程
+
+- 修改 `h5/css/style.css` 公共组件与背景策略。
+- 修改 `h5/index.html` 首页/授权/档案/拍照引导结构，接入新版素材。
+- 修改 `h5/js/app.js` 文案、肤质图片配置和相应入口，保留档案选择器校验。
+- 交付：首页、授权、档案和引导弹窗的并排截图与可操作流程。
+
+### P2：报告页重构（视觉改动最大）
+
+- 合并汇总卡；显示层统一三个新维度名称。
+- 将一个三维度 Tab 改成三个纵向区块，各自包含 2 / 3 / 2 个分类 Tab。
+- 大图、分隔线、正文、免责声明、护理建议按新版排版。
+- 接入 `brown_area`/`water_area` 视图及独立文案，处理加载/缺失状态。
+- 三档产品列表配置化；按定稿移除旧布局的多余块与无实际动作的按钮。
+- 主要文件：`index.html`、`style.css`、`app.js`，新增展示适配模块；不因换名改评分引擎。
+- 交付：完整长报告、七个视图、三种商品结果和缺数据状态。
+
+### P3：拍照页视觉校准
+
+- 更新三套轮廓与眼鼻定位线，统一使用同一套 viewBox/坐标系。
+- 同步裁剪范围、前后镜头镜像、扫描区域、轮廓成功提示；继续使用现有脸部检测和自动抓拍流程。
+- 保留实时自动模式和系统相机/相册降级模式；不能因为设计隐藏快门就删除降级模式的快门。
+- 交付：三步静态对照、真实摄像头全流程和 HTTP 降级验证。
+
+### P4：登录外观与本机历史闭环
+
+- 新增 `s-login` 与 `s-history`；统一返回栈和刷新行为。
+- 游客入口接入首页，“我的报告”显示真实保留数量、日期与详情。
+- 为新/旧记录定义兼容读取及缺图策略；退出相机、关闭放大图、回到列表都要返回正确位置。
+- 登录图上无法确定授权后跳转、重复授权等状态，按明确的流程方案补齐。
+- 交付：游客用户可完整走通；微信入口状态与真实后端能力一致。
+
+### P5：真实账号能力（依赖账号与后端范围确定）
+
+- 登录接入、会话、记录归属及用户级报告 API；补齐跨设备历史和对应权限验证。
+- 同步处理退出、授权取消、会话失效和游客报告迁移策略。
+- 交付：真实微信登录及本人报告查询。完成此阶段才能把所有设计功能视为完成。
+
+### P6：联合验收与部署
+
+- 固定 375px 基准截图，对照去除原生顶栏的 PSD；再检查 390/414px 及短屏、长屏、底部安全区。
+- 静态结构完成后核对字体、图片裁剪、Tab 下划线、卡片边缘和垂直节奏。
+- 更新现有 `h5/test/e2e-browser.mjs`：新版入口、独立 Tab、列表详情返回、七图、三商品、无空引用和无 JS 异常。
+- 跑 `h5/test/regression.js`；同一测试数据的现有评分/护理建议/推荐结果应保持一致。
+- 实机验证微信内 H5、Android 浏览器、iOS 浏览器；现有局域网 HTTP 只能验证降级拍照，实时自动相机需在可用的 HTTPS 环境验证。
+- 交付：最终对照图、回归结果、可访问页面地址及尚未覆盖的设备范围。
+
+## 8. 验收定义
+
+1. **结构**：10 个设计画板对应的页面/弹层均有明确落点；新增登录与报告列表不能只是无法操作的截图。
+2. **视觉**：375px 固定视口下，静态主要边界目标误差不超过约 2 CSS px；同字体、同文本、同图片才能做局部像素差比较。不同真实数据不得按整页像素误差判断。
+3. **响应式**：375/390/414px 下无横向溢出、文字截断、底部按钮被安全区遮挡；长报告允许内容自然增长。
+4. **交互**：三块报告 Tab 相互独立，图片点开/返回正常，历史列表与详情可往返，返回不重新启动摄像头。
+5. **数据**：七个展示视图与六分类计算关系清晰；姓名/日期/数量/分数来自真实状态；不会加载上一个报告的图片。
+6. **拍照**：正 → 用户右脸 → 用户左脸，API 仍按 front/left/right 正确送检；自动、拒绝权限、相册、系统相机路径分别检查。
+7. **历史**：列表计数与保留策略一致，缺图或记录损坏有正确提示；若接账号，必须只读本人记录。
+8. **性能**：整页 PNG 与设计示意人脸仅用于验收，业务页面按需加载独立素材；产品图懒加载，避免把 445MB PSD 或大幅设计预览带进页面。
+
+## 9. 实施前需要定下的四个选择
+
+本轮计划不依赖立即答复；进入实现前按以下顺序确定即可：
+
+1. **容器**：沿用当前 H5、去除原生顶栏，还是补一条网页标题/返回栏？建议沿用 H5 口径。
+2. **账号范围**：先完成游客及本机历史、再接微信，还是把真实登录和跨设备报告纳入同一批交付？两者的后端工作量明显不同。
+3. **业务口径**：是否同意三维度仅改显示名、六分类算法保持，肤色/水分拆成展示视图？建议如此，独立话术另行定稿。
+4. **原稿整理**：是否按设计保留三商品卡，并去掉旧版额外卡片/占位按钮，同时纠正原稿重复字和错字？建议保留真实推荐信息于护理建议中，清理重复展示。
+
+推荐先完成 P0–P3 的视觉主体，再交付 P4 游客闭环；P5 随账号条件落地。报告结构和新增身份/历史能力是主要工作量，字体和相机坐标是还原精度的主要风险。
@@ -0,0 +1,105 @@
+# 微信登录接入与公网部署说明
+
+更新：2026-10-11。当前环境为 Windows 宿主机 + 内网 WSL。
+
+## 结论与当前阻碍
+
+已完成微信网页授权代码，但**没有完成真实微信账号联调**。当前未配置 `WECHAT_APP_ID`、`WECHAT_APP_SECRET`、`PUBLIC_BASE_URL`，也没有可验证的公众号网页授权域名配置。内网 `http://192.168.3.25:8080/` 不能作为本次正式授权部署地址。因此本地启用「本机浏览器登录」，不会模拟微信登录成功。
+
+官方网页授权适用于具有相应权限的认证服务号等账号；需要在公众号后台配置网页授权域名。普通小程序 AppID、开放平台网站应用 AppID 不能直接替代本方案的服务号 AppID。本实现采用 `snsapi_base` 获取 OpenID 做账号关联，不请求头像、昵称。
+
+依据：[微信官方 H5 网页授权文档](https://developers.weixin.qq.com/doc/service/guide/h5/auth.html)（2026-10-10 核对）。实际账号权限和后台配置还需由公众号管理员确认。
+
+## 已完成的链路
+
+1. 登录页先勾选现有协议，再选择微信或本机浏览器登录。
+2. 服务端构造授权地址；回调校验一次性 state、浏览器绑定和 10 分钟有效期。
+3. 服务端用 code 换取 OpenID，AppSecret 不发送至前端、不写入报告。
+4. 同一 AppID + OpenID 对应同一个服务端账号，换手机登录后读取该账号最近 5 份报告。
+5. 会话采用 HttpOnly / SameSite=Lax Cookie；公网 HTTPS 配置下附带 Secure。
+6. 未配置微信、未在微信浏览器内打开、授权失败时提供明确提示，可选择本机浏览器登录。
+
+自动化测试使用模拟的微信换码响应，已覆盖 state 缺失、绑定错误、重复回调、子路径回调、同一 OpenID 返回同一账号；这些测试不等同于微信真机验收。
+
+## 公网服务器配置
+
+部署整个 `h5/`，包括 `lib/`、`js/report-copy.js`、`js/report-ui.js`、`js/account-client.js`、`js/camera-geometry.js`、新版 CSS、图片和字体。需要 Node 18+，建议沿用当前 Node 22。不能仅部署静态文件。
+
+通过服务管理器的私有环境文件设置以下内容，不放入前端，不提交 Git：
+
+```ini
+HOST=127.0.0.1
+PORT=8080
+# 仅限 Node 绑定回环、nginx 覆盖 X-Real-IP 的部署方式
+TRUST_LOOPBACK_PROXY=1
+PUBLIC_BASE_URL=https://你的域名/state/
+WECHAT_APP_ID=你的认证服务号AppID
+WECHAT_APP_SECRET=你的认证服务号AppSecret
+SKIN_API_KEY=你的Face++Key
+SKIN_API_SECRET=你的Face++Secret
+# 可选：独立持久化目录。未设置则使用 h5/data。
+JUZI_DATA_ROOT=/var/lib/juzi-h5
+```
+
+环境文件权限设为仅服务账号可读，systemd 中使用 `EnvironmentFile=`。重启服务后访问 `.../api/auth/config`，`wechat: true` 只代表必需配置齐备，不代表平台授权已经验收通过。
+
+`PUBLIC_BASE_URL` 必须是用户实际访问的 HTTPS 地址，包含真实子路径。示例回调为：`https://你的域名/state/api/auth/wechat/callback`。公众号后台填写的是域名，不是完整 URL；按后台要求部署域名验证文件到域名根目录。不要向聊天或代码库粘贴 AppSecret。
+
+## 反向代理与后台保护
+
+如果使用 `/state/` 子路径，反向代理要剥离该前缀。以下片段加入已经配置证书的 HTTPS server 中；实际部署前先核对现有 nginx 配置，不要直接覆盖。
+
+```nginx
+location = /state { return 301 /state/; }
+
+# 管理后台与用户账号接口相互独立；必须继续保护后台。
+location ~ ^/state/(admin\.html|css/admin\.css|js/admin\.js|api/admin/.*)$ {
+    auth_basic "Juzi Admin";
+    auth_basic_user_file /etc/nginx/.htpasswd-juzi;
+    rewrite ^/state/(.*)$ /$1 break;
+    proxy_pass http://127.0.0.1:8080;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_set_header X-Real-IP $remote_addr;
+    client_max_body_size 20m;
+    proxy_read_timeout 150s;
+}
+
+location /state/ {
+    proxy_pass http://127.0.0.1:8080/;
+    proxy_set_header Host $host;
+    proxy_set_header X-Forwarded-Proto $scheme;
+    proxy_set_header X-Real-IP $remote_addr;
+    client_max_body_size 20m;
+    proxy_read_timeout 150s;
+}
+```
+
+根路径部署则设置 `PUBLIC_BASE_URL=https://你的域名/` 并相应去掉上述 `/state/`。不要遗漏 `admin.html` 和 `/api/admin/` 的鉴权，也不要把 Node 8080 直接暴露到公网。现有 Node 管理接口本身不使用新 C 端账号鉴权；公网安全仍依赖后台鉴权和回环监听。
+
+`TRUST_LOOPBACK_PROXY=1` 用于按真实客户端 IP 限制登录频率；只信任来自回环代理且格式合法的 `X-Real-IP`。nginx 必须按示例覆盖该头，不能透传浏览器传入值。本地直接访问时不要启用。未启用时按 TCP 对端限流，在反代后会共享同一计数。
+
+当前 WSL 使用 `HOST=0.0.0.0` 方便局域网测试，局域网内管理接口也可达，请只在可信网络使用。手机 HTTP 访问不是安全相机上下文，会沿用现有系统相机/上传降级；自动实时抓拍需 HTTPS，或在本机 localhost 测试。这与微信授权是否配置是两个不同限制。
+
+## 数据、迁移与备份
+
+- `h5/data/accounts/identities.json`：账号、随机身份凭据的哈希、会话、最近报告索引。
+- `h5/data/accounts/reports/<user-id>/<report-id>.json`：完整报告快照，含三张照片、检测图层、评分、话术和推荐产品。
+- 原有 `data/records.jsonl`、`data/photos`、`data/results` 继续供后台复核。
+- 本机浏览器 localStorage 只保存随机身份凭据，不再存照片与报告。更换设备/浏览器/站点域名，或清除全部站点数据后，不能靠本机身份找回原账号。
+- 微信与本机账号不自动合并；旧版 localStorage 报告未自动认领迁移，避免错误关联。旧数据不删除。
+- 前台只列出并允许回看最近 5 份，超出 5 份的快照/后台记录暂保留，不代表已物理删除。正式上线需业务方确认保留和删除周期。
+- 迁移时停止写入，备份并迁移**完整数据目录**，保留访问权限。只同步代码不会带上报告。禁止将数据目录提交 Git 或由 nginx 作为静态目录公开。
+- 当前为单 Node 进程的文件存储，不可对同一目录开多个 worker/多实例；未来扩容需迁移数据库和对象存储。
+
+## 公网真机验收清单
+
+- 微信打开 HTTPS 页面，协议可查看、未勾选不能登录。
+- 首次微信登录→首页→三视角检测→我的报告→详情。
+- 同一微信账号换另一台手机，能看到原报告；另一微信账号看不到。
+- 报告七项检测图与初次生成一致，文案、评分、推荐商品不因回看重算。
+- 取消/失败授权后可重新登录或选择本机浏览器登录。
+- 重启服务后报告与账号不丢失。
+- 检查 HTTPS 摄像头权限、三视角自动抓拍、前后镜头、后台鉴权、数据目录不可访问。
+
+协议处理：登录和检测授权复用 `h5/index.html` 中已有的「Face++ 个人信息与隐私保护政策」（包含儿童相关章节）。本次未发现独立的品牌方用户协议文件，未凭空编写法律条款；正式发布前请业务/法务确认现有政策是否覆盖品牌方的账号关联、报告存储、保存期限和删除渠道。
@@ -1,69 +1,77 @@
 {
  "0": "face-api.js",
-  "1": "n",
+  "1": "t",
  "2": "app.js",
  "3": "skin-score.js",
-  "4": "isTensor",
-  "5": ".toBatchTensor",
-  "6": "getEnv",
-  "7": "FaceLandmarks",
-  "8": "disposeUnusedWeightTensors",
+  "4": "n",
+  "5": "normalize",
+  "6": "drawFaceExpressions",
+  "7": "Box",
+  "8": "admin.js",
  "9": "__awaiter",
-  "10": "extractWeightEntryFactory",
-  "11": "FaceProcessor",
+  "10": "AgeGenderNet",
+  "11": "lib/accounts.js",
  "12": "server.js",
  "13": "files",
-  "14": "extractAllFacesAndComputeResults",
+  "14": ".predictAgeAndGender",
  "15": ".runAndExtendWithFaceDetection",
  "16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范",
  "17": "extractFaces",
  "18": "1'me 在线肌肤测试 H5",
  "19": "head-pose.js",
  "20": "build_fixtures.py",
-  "21": ".forwardInput",
+  "21": "disposeUnusedWeightTensors",
  "22": ".loadFromDisk",
  "23": "facepp-skinanalyze（旷视皮肤分析专业版调用技能）",
  "24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0",
-  "25": "extractParamsFromWeigthMap$1",
+  "25": "mobile-select.iife.min.js",
  "26": "wi",
  "27": "gen_voice.py",
-  "28": "initialize",
+  "28": "i",
  "29": "face-api.js 本地化依赖（h5/vendor/faceapi/）",
-  "30": "regression.js",
-  "31": "isValidNumber",
+  "30": "ui-20261009/manifest.json",
+  "31": ".toString",
  "32": "FaceMatcher",
  "33": "build-fixture.py",
  "34": "smoke-test.js",
  "35": "DetectSingleFaceLandmarksTask",
-  "36": "so",
-  "37": "tt",
+  "36": "C",
+  "37": "UI 外发版 10.09 图片资源",
  "38": "TinyYolov2",
-  "39": "cn",
-  "40": ".computeFaceDescriptor",
-  "41": "SsdMobilenetv1",
-  "42": "dr",
+  "39": "UI交互界面调整",
+  "40": "ComputeAllFaceDescriptorsTask",
+  "41": ".draw",
+  "42": "export_psd_assets.py",
  "43": "FaceLandmark68Net",
-  "44": "rescaleAndNormalize",
+  "44": "start-local.sh",
  "45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
  "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
-  "47": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
+  "47": "k",
  "48": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
-  "49": "Yo",
+  "49": "mobile-select/README.md",
  "50": "call_skinanalyze_3view.sh",
-  "51": "TinyXception",
-  "52": "Vc",
-  "53": "FaceDetection",
-  "54": "ff",
-  "55": "ge",
-  "56": "sa",
-  "57": "po",
+  "51": "第二轮2反馈.md",
+  "52": "region-data.js",
+  "53": "护理建议（全量文本，按需求摘抄）",
+  "54": "UI 对齐 10.09 设计稿：调研与实施计划",
+  "55": "FaceLandmarks68",
+  "56": ".forwardInput",
+  "57": "regression.js",
  "58": ".dispose",
  "59": "call_skinanalyze.sh",
  "60": "report-fixture.js",
-  "61": ".extractWeights",
-  "62": "NeuralNetwork",
+  "61": "NeuralNetwork",
+  "62": "提交前 Review（2026-10-11）",
  "63": "e2e-browser.mjs",
-  "64": "AgeGenderNet",
-  "66": "FaceExpressionNet",
-  "71": "PredictSingleFaceExpressionsTask"
+  "64": "account-client.js",
+  "65": "PredictSingleFaceExpressionsTask",
+  "66": ".runAndExtendWithFaceDetections",
+  "67": "ui-20261009.mjs",
+  "68": "ComputeSingleFaceDescriptorTask",
+  "69": "misans/README.md",
+  "71": "extractFaceTensors",
+  "72": "build_report_copy.py",
+  "73": "camera-geometry.js",
+  "74": "report-copy.js",
+  "75": "prepare_h5_assets.py"
 }
@@ -1 +1 @@
-{"0": "084975bb68797cf4", "1": "6c6ce24229e04595", "2": "64f07a78d61df933", "3": "8ac814cdb72a1a7d", "4": "c18a4a8fab272cc6", "5": "7f62d3cc90a92195", "6": "865611558d18274c", "7": "e7b6c52cb9523ba1", "8": "934b465b2e687d3d", "9": "31a3a505422c0528", "10": "f943c63a37873e9e", "11": "9ed244ba3453a0c1", "12": "8d1af962d46ec19f", "13": "7e3b558a587a4ebe", "14": "2681c1b3f4f3539e", "15": "8bd61518dd267641", "16": "95add6a975c0cb72", "17": "d5ee72467704e6f0", "18": "fd0841b607871dc7", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "880a74c6d255e5cc", "22": "1c67ad3d97e5c622", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "79d2843a716971c8", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "eb3733e409dc7411", "29": "c608f1c6492e1cb1", "30": "f2a40b5f1b29f669", "31": "8f647d3ce08ecd2b", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "c55f872b3e16ab6f", "37": "3088ae48043ee39d", "38": "c96276581a8c98d4", "39": "932f010dc6115fb4", "40": "444ef0744645f5ac", "41": "386a184c6bd5a40e", "42": "2bfc96d4090afd84", "43": "9a25b1230b5fe649", "44": "8d5f4e992bac9095", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "01f68dfc34a29d32", "48": "8c471c7baeaaca54", "49": "a54008a71fdd44fa", "50": "bbb2b57d72922b16", "51": "0985ce7473fdd021", "52": "c5a22f1501fe85b7", "53": "287d60115d9acda8", "54": "1331494302f6c136", "55": "f42d242a020b2f05", "56": "2537fe1309d3ab9a", "57": "7862e3ee5a214160", "58": "440ae90e84499b6f", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "151209871c761759", "62": "d96493a5f110bd4c", "63": "c256b43f75d7809e", "64": "512a2535c88c4284", "66": "e858d75e995c92e5", "71": "cb5ac3401283c378"}
+{"0": "796f85041a70fce3", "1": "966174ef01534051", "2": "9cf893b45c314643", "3": "271a5f5154afbdcd", "4": "e8b7c34edb5e6b25", "5": "163ce3e95fc46466", "6": "979dcc63399620ad", "7": "3a3e5d3e70ed45d6", "8": "cf2aba493368e557", "9": "94b2884fbd0d3d50", "10": "d982c7c094e0d01c", "11": "1c4f17c3d154962f", "12": "ab705784bbd1dbdc", "13": "7e3b558a587a4ebe", "14": "a2b13160223b5a98", "15": "5a9014c4a7f87699", "16": "95add6a975c0cb72", "17": "2405e1edb003a83e", "18": "5aa9c1fc3b3c8196", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "8835aeeaa165e9f9", "22": "b683919fcbe30647", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "3ca8c23d3e8220ec", "27": "eab427ce9a5219e9", "28": "536a3a2cb7285674", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "cd6f168abba94fea", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "92f5f0a14da5908e", "37": "cb8f26249485324a", "38": "29790cf710874dd0", "39": "fdd95375b4a5ddb3", "40": "3dd68cce72af5314", "41": "bf75bfc99d4f9e34", "42": "ffd960136fde00ad", "43": "9a25b1230b5fe649", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "188dd5e33354e35d", "48": "8c471c7baeaaca54", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "15606ce5d8eec23a", "56": "880a74c6d255e5cc", "57": "f2a40b5f1b29f669", "58": "de5c2bc5e6fe8070", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "81661714a80b3097", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "86101547c05f96b9", "65": "cb5ac3401283c378", "66": "46204fb2e4d50c53", "67": "98f88c09f1236577", "68": "7ac475ea9bc280f8", "69": "e511846eeba03076", "71": "0b63a2ad1a11ce27", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884"}
@@ -1,190 +1,193 @@
-# Graph Report - juzi  (2026-09-28)
+# Graph Report - juzi  (2026-10-11)

 ## Corpus Check
- 31 files · ~1,845,638 words
+- 59 files · ~4,180,488 words
 - Verdict: corpus is large enough that graph structure adds value.

 ## Summary
- 900 nodes · 2117 edges · 67 communities (46 shown, 21 thin omitted)
- Extraction: 92% EXTRACTED · 8% INFERRED · 0% AMBIGUOUS · INFERRED: 168 edges (avg confidence: 0.52)
+- 1133 nodes · 2496 edges · 75 communities (57 shown, 18 thin omitted)
+- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 178 edges (avg confidence: 0.53)
 - Token cost: 0 input · 0 output

 ## Graph Freshness
- Built from commit: `4e3d915b`
+- Built from commit: `ee744b6b`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).

 ## Community Hubs (Navigation)
 - face-api.js
- n
+- t
 - app.js
 - skin-score.js
- isTensor
- .toBatchTensor
- getEnv
- FaceLandmarks
- disposeUnusedWeightTensors
+- n
+- normalize
+- drawFaceExpressions
+- Box
+- admin.js
 - __awaiter
- extractWeightEntryFactory
- FaceProcessor
+- AgeGenderNet
+- lib/accounts.js
 - server.js
 - files
- extractAllFacesAndComputeResults
+- .predictAgeAndGender
 - .runAndExtendWithFaceDetection
 - 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范
 - extractFaces
 - 1'me 在线肌肤测试 H5
 - head-pose.js
 - build_fixtures.py
- .forwardInput
+- disposeUnusedWeightTensors
 - .loadFromDisk
 - facepp-skinanalyze（旷视皮肤分析专业版调用技能）
 - 巨子测肤 · 1'me 语音播报内容设计文档 V1.0
- extractParamsFromWeigthMap$1
+- mobile-select.iife.min.js
 - wi
 - gen_voice.py
- initialize
+- i
 - face-api.js 本地化依赖（h5/vendor/faceapi/）
- regression.js
- isValidNumber
+- ui-20261009/manifest.json
+- .toString
 - FaceMatcher
 - build-fixture.py
 - DetectSingleFaceLandmarksTask
- so
- tt
+- C
+- UI 外发版 10.09 图片资源
 - TinyYolov2
- cn
- .computeFaceDescriptor
- SsdMobilenetv1
- dr
+- UI交互界面调整
+- ComputeAllFaceDescriptorsTask
+- .draw
+- export_psd_assets.py
 - FaceLandmark68Net
- rescaleAndNormalize
+- start-local.sh
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictAllFaceExpressionsWithFaceAlignmentTask
- PredictSingleAgeAndGenderWithFaceAlignmentTask
+- k
 - PredictSingleFaceExpressionsWithFaceAlignmentTask
- Yo
+- mobile-select/README.md
 - call_skinanalyze_3view.sh
- TinyXception
- Vc
- FaceDetection
- ff
- ge
- sa
- po
+- 护理建议（全量文本，按需求摘抄）
+- UI 对齐 10.09 设计稿：调研与实施计划
+- FaceLandmarks68
+- .forwardInput
+- regression.js
 - .dispose
 - call_skinanalyze.sh
- .extractWeights
 - NeuralNetwork
+- 提交前 Review（2026-10-11）
 - e2e-browser.mjs
- AgeGenderNet
- FaceExpressionNet
+- account-client.js
 - PredictSingleFaceExpressionsTask
+- .runAndExtendWithFaceDetections
+- ui-20261009.mjs
+- ComputeSingleFaceDescriptorTask
+- misans/README.md
+- extractFaceTensors
+- build_report_copy.py

 ## God Nodes (most connected - your core abstractions)
 1. `__awaiter()` - 59 edges
 2. `__generator()` - 59 edges
-3. `n()` - 36 edges
-4. `t()` - 33 edges
-5. `i()` - 33 edges
-6. `r()` - 32 edges
+3. `n()` - 37 edges
+4. `r()` - 35 edges
+5. `t()` - 33 edges
+6. `i()` - 33 edges
 7. `C()` - 32 edges
 8. `toNetInput()` - 27 edges
 9. `e()` - 22 edges
 10. `f()` - 20 edges

 ## Surprising Connections (you probably didn't know these)
+- `loadRecords()` --indirect_call--> `it()`  [INFERRED]
+  h5/js/admin.js → h5/vendor/faceapi/face-api.js
+- `bind()` --indirect_call--> `a()`  [INFERRED]
+  h5/js/admin.js → h5/vendor/faceapi/face-api.js
 - `detectFrame()` --indirect_call--> `d()`  [INFERRED]
  h5/js/app.js → h5/vendor/faceapi/face-api.js
- `vizCompose()` --indirect_call--> `h()`  [INFERRED]
-  h5/js/app.js → h5/vendor/faceapi/face-api.js
 - `vizCompose()` --indirect_call--> `rh()`  [INFERRED]
  h5/js/app.js → h5/vendor/faceapi/face-api.js
 - `vizCompose()` --indirect_call--> `w()`  [INFERRED]
  h5/js/app.js → h5/vendor/faceapi/face-api.js
- `renderReport()` --indirect_call--> `t()`  [INFERRED]
-  h5/js/app.js → h5/vendor/faceapi/face-api.js

 ## Import Cycles
 - None detected.

-## Communities (67 total, 21 thin omitted)
+## Communities (75 total, 18 thin omitted)

 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (38): bn(), ca(), cd(), ce(), dn(), ee(), er(), et() (+30 more)
+Nodes (32): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), extractBoundingBoxes() (+24 more)

-### Community 1 - "n"
-Cohesion: 0.07
-Nodes (85): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+77 more)
+### Community 1 - "t"
+Cohesion: 0.08
+Nodes (33): be(), bi(), Bo(), ce(), de(), e(), Ef(), er() (+25 more)

 ### Community 2 - "app.js"
 Cohesion: 0.06
-Nodes (71): afterCurrent(), applyMirror(), armNudge(), beginCountdown(), beginDetect(), bindBackdropClose(), busyWithFlow(), cancelCountdown() (+63 more)
+Nodes (74): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyWithFlow(), captureFromVideo(), checkStill(), closeOverlay() (+66 more)

 ### Community 3 - "skin-score.js"
 Cohesion: 0.12
 Nodes (44): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+36 more)

-### Community 4 - "isTensor"
-Cohesion: 0.33
-Nodes (5): extractorsFactory$3(), extractParamsFromWeigthMap$4(), isTensor(), isTensor1D(), isTensor2D()
+### Community 4 - "n"
+Cohesion: 0.17
+Nodes (32): a(), ae(), bf(), cf(), d(), drawContour(), dt(), ea() (+24 more)

-### Community 5 - ".toBatchTensor"
-Cohesion: 0.08
-Nodes (30): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+22 more)
-
-### Community 6 - "getEnv"
+### Community 5 - "normalize"
 Cohesion: 0.09
-Nodes (26): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions() (+18 more)
+Nodes (26): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+18 more)

-### Community 7 - "FaceLandmarks"
-Cohesion: 0.06
-Nodes (16): bgrToRgbTensor(), extendWithFaceLandmarks(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions() (+8 more)
-
-### Community 8 - "disposeUnusedWeightTensors"
+### Community 6 - "drawFaceExpressions"
 Cohesion: 0.22
-Nodes (6): disposeUnusedWeightTensors(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$6(), extractParamsFromWeigthMap$7(), extractParamsFromWeigthMapTiny()
+Nodes (6): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceExpressions()
+
+### Community 7 - "Box"
+Cohesion: 0.13
+Nodes (6): Box(), DetectAllFaceLandmarksTask(), extendWithFaceLandmarks(), FaceLandmarks(), minBbox(), ObjectDetection()
+
+### Community 8 - "admin.js"
+Cohesion: 0.25
+Nodes (23): api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(), dSec(), el() (+15 more)

 ### Community 9 - "__awaiter"
-Cohesion: 0.22
-Nodes (8): __awaiter(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), Mtcnn(), toNetInput()
+Cohesion: 0.14
+Nodes (12): __awaiter(), extendWithFaceDescriptor(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow() (+4 more)

-### Community 10 - "extractWeightEntryFactory"
-Cohesion: 0.53
-Nodes (6): extractorsFactory$7(), extractWeightEntryFactory(), loadConvParamsFactory(), loadParamsFactory(), loadParamsFactory$1(), loadSeparableConvParamsFactory()
+### Community 10 - "AgeGenderNet"
+Cohesion: 0.10
+Nodes (6): AgeGenderNet(), extractParams$1(), FaceExpressionNet(), FaceLandmark68NetBase(), FaceLandmark68TinyNet(), FaceProcessor()

-### Community 11 - "FaceProcessor"
-Cohesion: 0.24
-Nodes (3): extractParams$1(), FaceLandmark68TinyNet(), FaceProcessor()
+### Community 11 - "lib/accounts.js"
+Cohesion: 0.07
+Nodes (40): build(), count(), fill(), numeric(), atomic(), body(), cookie(), cookies() (+32 more)

 ### Community 12 - "server.js"
-Cohesion: 0.14
-Nodes (16): callFacepp(), CRED, DATA_DIR, ERR_MSG, fs, handleAnalyze(), http, isUsableB64() (+8 more)
+Cohesion: 0.08
+Nodes (48): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, dumpRaw(), ERR_MSG (+40 more)

 ### Community 13 - "files"
 Cohesion: 0.12
 Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)

-### Community 14 - "extractAllFacesAndComputeResults"
-Cohesion: 0.15
-Nodes (8): extendWithAge(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllAgeAndGenderTask(), PredictAllFaceExpressionsTask(), PredictSingleAgeAndGenderTask()
+### Community 14 - ".predictAgeAndGender"
+Cohesion: 0.28
+Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()

 ### Community 15 - ".runAndExtendWithFaceDetection"
-Cohesion: 0.23
-Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask()
+Cohesion: 0.33
+Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectSingleFaceTask()

 ### Community 16 - "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范"
 Cohesion: 0.15
 Nodes (12): 1. 基准与尺寸换算, 2. 色彩规范, 3. 字体规范, 4. 组件切图(assets/svg/), 5. 图片素材(assets/images/,共 15 张), 6. 页面清单(design/ 下有整屏 PNG 预览), 7. 目录结构, 8. 还原建议 (+4 more)

 ### Community 17 - "extractFaces"
-Cohesion: 0.22
-Nodes (6): Box(), extractFaces(), extractFaceTensors(), imageTensorToCanvas(), isTensor3D(), isTensor4D()
+Cohesion: 0.19
+Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)

 ### Community 18 - "1'me 在线肌肤测试 H5"
-Cohesion: 0.18
-Nodes (10): 1'me 在线肌肤测试 H5, Windows 本机部署(提测用), 密钥配置, 已知占位清单, 技术说明, 拍照交互(引导式自动三连拍), 本地运行, 检测流程与评分渲染 (+2 more)
+Cohesion: 0.07
+Nodes (27): 10.09 新版 H5 实施与验收, 按确认项实现, 文档未定义部分的实施口径, 素材再生成, 验证命令, 公网服务器配置, 公网真机验收清单, 反向代理与后台保护 (+19 more)

 ### Community 19 - "head-pose.js"
 Cohesion: 0.33
@@ -194,13 +197,13 @@ Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(),
 Cohesion: 0.40
 Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)

-### Community 21 - ".forwardInput"
-Cohesion: 0.22
-Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
+### Community 21 - "disposeUnusedWeightTensors"
+Cohesion: 0.09
+Nodes (24): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+16 more)

 ### Community 22 - ".loadFromDisk"
-Cohesion: 0.19
-Nodes (5): ComposableTask(), getModelUris(), Gf(), loadWeightMap(), TinyFaceDetector()
+Cohesion: 0.25
+Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector()

 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -210,101 +213,125 @@ Nodes (9): 1. 凭据（统一管理）, 2. 标准调用模板（全可选参数
 Cohesion: 0.22
 Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策略(前端已实现侧约定), 4. 生成验收, A. 步骤引导(进入每个拍照步骤时播,与屏幕步骤文案一致), B. 姿态提示(实时检测不通过时播,同一提示 4 秒内不重复), C. 拍摄与流程, 巨子测肤 · 1'me 语音播报内容设计文档 V1.0

-### Community 25 - "extractParamsFromWeigthMap$1"
-Cohesion: 0.40
-Nodes (3): extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$3(), seperateWeightMaps()
+### Community 25 - "mobile-select.iife.min.js"
+Cohesion: 0.20
+Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)

 ### Community 26 - "wi"
-Cohesion: 0.28
-Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more)
+Cohesion: 0.32
+Nodes (8): Ci(), Ei(), Fi(), Ii(), ki(), ri(), wi(), Xt()

 ### Community 27 - "gen_voice.py"
 Cohesion: 0.30
 Nodes (11): ndarray, Path, gen_countdown(), main(), normalize_clip(), 倒计时单独按字生成再拼接，避免「三、二、一」整句被读成播报腔、与提示音气质漂移。 与提示音共用同一 speaker + instruct；句间留约…, 裁掉过长首尾静音，保留 ≤150ms 边沿，避免提示显迟钝。, 响度归一 −16 LUFS + 转 MP3 48k CBR mono 22050Hz。 (+3 more)

-### Community 28 - "initialize"
-Cohesion: 0.29
-Nodes (7): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), monkeyPatch(), setEnv()
+### Community 28 - "i"
+Cohesion: 0.08
+Nodes (32): ba(), bn(), ca(), cl(), da(), dn(), ee(), et() (+24 more)

 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
 Nodes (6): face-api.js 本地化依赖（h5/vendor/faceapi/）, 为什么本地化, 文件清单与体积, 来源与版本, 用法, 许可证

-### Community 30 - "regression.js"
-Cohesion: 0.60
-Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
+### Community 30 - "ui-20261009/manifest.json"
+Cohesion: 0.33
+Nodes (5): assets, document_size, layers, pages, source

-### Community 31 - "isValidNumber"
-Cohesion: 0.50
-Nodes (4): Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()
+### Community 31 - ".toString"
+Cohesion: 0.33
+Nodes (5): FaceMatch(), la(), pr(), pt(), vt()

 ### Community 33 - "build-fixture.py"
 Cohesion: 0.60
 Nodes (4): main(), 递归缩放 result 内全部坐标:{left,top,width,height} 矩形与 {x,y} 点,与原数据同为整数。, scale_coords(), to_data_url()

-### Community 36 - "so"
-Cohesion: 0.50
-Nodes (4): Do(), io(), so(), To()
+### Community 36 - "C"
+Cohesion: 0.08
+Nodes (29): ao(), C(), cd(), co(), Do(), eo(), fo(), Ft() (+21 more)

-### Community 37 - "tt"
-Cohesion: 0.50
-Nodes (4): kn(), tt(), wo(), z()
-
-### Community 39 - "cn"
-Cohesion: 0.67
-Nodes (3): cn(), en(), yn()
-
-### Community 40 - ".computeFaceDescriptor"
-Cohesion: 0.18
-Nodes (4): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), FaceRecognitionNet()
-
-### Community 41 - "SsdMobilenetv1"
+### Community 37 - "UI 外发版 10.09 图片资源"
 Cohesion: 0.40
-Nodes (3): extractorsFactory$5(), extractParamsFromWeigthMap$5(), SsdMobilenetv1()
+Nodes (4): UI 外发版 10.09 图片资源, 前端素材对应, 文件位置, 重新导出

-### Community 42 - "dr"
-Cohesion: 0.67
-Nodes (3): dr(), na(), ta()
+### Community 39 - "UI交互界面调整"
+Cohesion: 0.40
+Nodes (4): 1meAI测肤旷视UI问题反馈, UI交互界面调整, 交互, **设计**

-### Community 44 - "rescaleAndNormalize"
-Cohesion: 0.67
-Nodes (3): getSizesForScale(), normalize$1(), rescaleAndNormalize()
+### Community 42 - "export_psd_assets.py"
+Cohesion: 0.70
+Nodes (4): bounds(), layer_at(), main(), save_image()

-### Community 49 - "Yo"
-Cohesion: 0.67
-Nodes (3): qo(), Xo(), Yo()
+### Community 44 - "start-local.sh"
+Cohesion: 0.50
+Nodes (3): HOST, PORT, start-local.sh script
+
+### Community 47 - "k"
+Cohesion: 0.18
+Nodes (11): b(), gn(), k(), kn(), ne(), tt(), wo(), Yt() (+3 more)
+
+### Community 53 - "护理建议（全量文本，按需求摘抄）"
+Cohesion: 0.10
+Nodes (19): 5\.1 轮廓（紧塑力）, 5\.2 皱纹（紧塑力）, 5\.3 肤色（透亮感）, 5\.4 平滑度（透亮感）, 5\.5 水分（透亮感）, 5\.6 泛红（稳韧力）, 5\.7 痘痘（稳韧力）, 6\.1 轮廓 (+11 more)
+
+### Community 54 - "UI 对齐 10.09 设计稿：调研与实施计划"
+Cohesion: 0.11
+Nodes (17): 1. 结论和依据, 2. 统一比较口径, 3. 逐页差异和调整内容, 4. 报告数据如何接到新 UI, 5. 登录与“我的报告”的真实能力缺口, 6. 原稿中需要整理的内容, 7. 实施顺序与交付物, 8. 验收定义 (+9 more)
+
+### Community 55 - "FaceLandmarks68"
+Cohesion: 0.19
+Nodes (3): FaceLandmarks5(), FaceLandmarks68(), getCenterPoint()
+
+### Community 56 - ".forwardInput"
+Cohesion: 0.22
+Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
+
+### Community 57 - "regression.js"
+Cohesion: 0.60
+Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()

 ### Community 58 - ".dispose"
-Cohesion: 0.14
-Nodes (13): computeReshapedDimensions(), extractBoundingBoxes(), iou(), isEven(), nonMaxSuppression(), nonMaxSuppression$1(), pyramidDown(), scale() (+5 more)
+Cohesion: 0.15
+Nodes (12): getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale(), SsdMobilenetv1() (+4 more)

-### Community 61 - ".extractWeights"
-Cohesion: 0.08
-Nodes (25): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+17 more)
+### Community 61 - "NeuralNetwork"
+Cohesion: 0.05
+Nodes (32): bgrToRgbTensor(), createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), Dimensions() (+24 more)
+
+### Community 62 - "提交前 Review（2026-10-11）"
+Cohesion: 0.40
+Nodes (4): 仍需公网/业务确认, 已发现并修复, 提交前 Review（2026-10-11）, 验证

 ### Community 63 - "e2e-browser.mjs"
 Cohesion: 0.29
 Nodes (4): EXPECTED, fails, pageErrors, pwRoot

+### Community 64 - "account-client.js"
+Cohesion: 0.90
+Nodes (4): browser(), init(), read(), request()
+
+### Community 71 - "extractFaceTensors"
+Cohesion: 0.18
+Nodes (9): extendWithFaceDetection(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractFaceTensors(), isTensor3D(), isWithFaceDetection(), isWithFaceLandmarks(), PredictAllFaceExpressionsTask() (+1 more)
+
 ## Knowledge Gaps
- **63 isolated node(s):** `step1-front`, `step2-rightface`, `step3-leftface`, `hint-noface`, `hint-near` (+58 more)
+- **152 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+147 more)
  These have ≤1 connection - possible missing edges or undocumented components.
- **21 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
+- **18 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.

 ## Suggested Questions
 _Questions this graph is uniquely positioned to answer:_

- **Why does `val()` connect `skin-score.js` to `extractFaces`?**
-  _High betweenness centrality (0.083) - this node is a cross-community bridge._
- **Why does `vizCompose()` connect `app.js` to `n`?**
+- **Why does `k()` connect `k` to `face-api.js`, `t`, `app.js`, `n`, `lib/accounts.js`, `i`?**
+  _High betweenness centrality (0.078) - this node is a cross-community bridge._
+- **Why does `renderReport()` connect `app.js` to `t`, `k`?**
  _High betweenness centrality (0.058) - this node is a cross-community bridge._
- **Why does `Box()` connect `extractFaces` to `face-api.js`, `.dispose`, `isValidNumber`, `FaceLandmarks`?**
-  _High betweenness centrality (0.058) - this node is a cross-community bridge._
- **Are the 23 inferred relationships involving `n()` (e.g. with `ae()` and `be()`) actually correct?**
-  _`n()` has 23 INFERRED edges - model-reasoned connections that need verification._
+- **Why does `rate()` connect `lib/accounts.js` to `k`?**
+  _High betweenness centrality (0.055) - this node is a cross-community bridge._
+- **Are the 24 inferred relationships involving `n()` (e.g. with `newRecordId()` and `ae()`) actually correct?**
+  _`n()` has 24 INFERRED edges - model-reasoned connections that need verification._
+- **Are the 27 inferred relationships involving `r()` (e.g. with `handleExport()` and `handleRecordsQuery()`) actually correct?**
+  _`r()` has 27 INFERRED edges - model-reasoned connections that need verification._
 - **Are the 7 inferred relationships involving `t()` (e.g. with `renderReport()` and `e()`) actually correct?**
  _`t()` has 7 INFERRED edges - model-reasoned connections that need verification._
- **Are the 9 inferred relationships involving `i()` (e.g. with `da()` and `f()`) actually correct?**
-  _`i()` has 9 INFERRED edges - model-reasoned connections that need verification._
- **What connects `step1-front`, `step2-rightface`, `step3-leftface` to the rest of the system?**
-  _63 weakly-connected nodes found - possible documentation gaps or missing edges._
+- **What connects `source`, `document_size`, `pages` to the rest of the system?**
+  _152 weakly-connected nodes found - possible documentation gaps or missing edges._
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  "h5/vendor/faceapi/README.md": {
@@ -770,8 +770,8 @@
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 }
@@ -121,6 +121,12 @@ node server.js              # 默认 8080,可用 PORT=xxx 修改
 | `GET /api/admin/stats` | 今日/累计检测量、成功率、平均耗时、失败原因分布、三维度档位分布、产品组别分布、近 14 天每日检测量/成功数 |
 | `GET /api/admin/export?from=&to=` | CSV 导出(UTF-8 BOM,Content-Disposition attachment 带日期区间文件名);禁止 raw_json 进单元格(Excel 单格 32767 字符截断) |

+## 10.09 更新
+
+新版已增加登录入口、后端账号隔离的最近 5 份完整报告、七项独立检测视图和新版话术/素材。
+本机浏览器只缓存随机身份凭据，报告保存在服务器；微信需公网 HTTPS、具备网页授权权限的服务号及相应环境变量。
+详见 [新版实施与验收](../docs/10.09新版H5实施与验收.md) 和 [微信登录接入与公网部署说明](../docs/微信登录接入与公网部署说明.md)。下方旧功能说明以这两份更新文档为准。
+
 ## 部署

 需要 Node ≥ 18 运行 `server.js`(负责静态与 API 中转),**不能用纯静态托管**(密钥不能进前端)。
@@ -0,0 +1,11 @@
+# MiSans 字体
+
+本应用使用 MiSans 字体（小米科技有限责任公司）。
+
+- 官方来源：https://hyperos.mi.com/font/zh/download/
+- 下载包：https://hyperos.mi.com/font-download/MiSans.zip
+- 下载日期：2026-10-10
+- 文件：官方原始 MiSans-Regular.woff2、MiSans-Semibold.woff2，未修改、未子集化。
+- 许可协议：上述官方下载页的「许可协议」；此处字体随本应用使用，不作为独立字库产品分发。
+
+页面「我的报告」底部包含字体使用声明。请保持声明，单独再分发或改造字体前需另行确认授权。
--- a/Show More
+++ b/Show More