feat(auth): clarify login identity and speed up mobile entry

2026-10-12 11:01:49 +08:00
parent 85790ef985
commit d2931a41e4
28 changed files with 1903 additions and 1046 deletions
@@ -3,24 +3,24 @@
  "1": "线上闭环测试（不含真实微信授权）",
  "2": "app.js",
  "3": "skin-score.js",
-  "4": "i",
+  "4": "k",
  "5": "r",
-  "6": ".runAndExtendWithFaceDetections",
-  "7": "Box",
+  "6": "extractFaceTensors",
+  "7": "ComputeSingleFaceDescriptorTask",
  "8": "admin.js",
  "9": "__awaiter",
-  "10": "TinyYolov2Base",
+  "10": ".forwardInput",
  "11": "lib/accounts.js",
  "12": "server.js",
  "13": "files",
-  "14": "FaceLandmarks",
-  "15": ".runAndExtendWithFaceDetection",
+  "14": "AgeGenderNet",
+  "15": ".runAndExtendWithFaceDetections",
  "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": "AgeGenderNet",
+  "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",
@@ -42,7 +42,7 @@
  "40": ".predictAgeAndGender",
  "41": "test/accounts.js",
  "42": "export_psd_assets.py",
-  "43": ".toString",
+  "43": ".toBatchTensor",
  "44": "start-local.sh",
  "45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
  "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
@@ -54,7 +54,7 @@
  "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": "pn",
+  "55": "i",
  "56": "report-ui.js",
  "57": "regression.js",
  "58": ".dispose",
@@ -78,14 +78,18 @@
  "76": "TinyYolov2",
  "77": "drawFaceExpressions",
  "78": "n",
-  "79": "isValidNumber",
+  "79": "微信登录联调-2026-10-12.md",
  "80": "线上微信登录部署记录",
  "81": "wechat-production.mjs",
  "82": "ComputeAllFaceDescriptorsTask",
  "83": "10.09 新版 H5 实施与验收",
  "84": "微信登录联调：2026-10-12",
+  "85": "FaceLandmarks",
  "87": "产品推荐规则：肤龄基准与边界调整",
-  "92": "部署",
+  "91": "login-performance.mjs",
+  "94": "Box",
+  "95": "PredictAllFaceExpressionsTask",
  "97": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
-  "98": "PredictSingleFaceExpressionsWithFaceAlignmentTask"
+  "98": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
+  "99": "PredictSingleFaceExpressionsTask"
 }
@@ -1 +1 @@
-{"0": "4e953aa5accd7c7a", "1": "cb6ea50bd4e4a5ca", "2": "9cf893b45c314643", "3": "1f737ca8edb978f2", "4": "5f6112d5f635312b", "5": "eef22a8f3d286cb0", "6": "435ca504c453b5ca", "7": "cd3c9a7feaf8faee", "8": "1ecf47531e1d507b", "9": "abb09e22736891ca", "10": "b78b7363e38a9a47", "11": "4a490abd5e503318", "12": "d3e946c5907aa577", "13": "7e3b558a587a4ebe", "14": "b3282012327aedbb", "15": "8bd61518dd267641", "16": "95add6a975c0cb72", "17": "fceb16a66797d550", "18": "9dec2afb5aedd74b", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "e6363b2654e6584b", "22": "caf0f067881ef97e", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "3c28e8d4be0a55e3", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "a3859fc25c864a81", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "a2b13160223b5a98", "41": "4bc370be8afd7db1", "42": "ffd960136fde00ad", "43": "15d6968c6dfb2e19", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "e042d7fe7351bcb9", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "1ac1eedae197df20", "56": "91d7ab49459e0b92", "57": "f2a40b5f1b29f669", "58": "36e826942fb5c839", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "ed382bc83b2567aa", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "6281db8274251503", "66": "769f05ad8584c01f", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "bf75bfc99d4f9e34", "71": "4195478d5c528371", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "c96276581a8c98d4", "77": "979dcc63399620ad", "78": "9c8639405659c6ae", "79": "1c27e5f448dc4f9c", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "3dd68cce72af5314", "83": "1284897282eb47a3", "84": "3f747b286aec1e85", "87": "e5fa7717989eda80", "92": "7dc1445ea84a39a8", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54"}
+{"0": "bf880d08a452d7b9", "1": "cb6ea50bd4e4a5ca", "2": "e45f02a2d81f378b", "3": "1f737ca8edb978f2", "4": "68c8c4a53446cb29", "5": "d50faa21d10efe9c", "6": "21004e7ec716999e", "7": "7ac475ea9bc280f8", "8": "1ecf47531e1d507b", "9": "bb9def5316182bbf", "10": "880a74c6d255e5cc", "11": "4a490abd5e503318", "12": "53594b653ad48743", "13": "7e3b558a587a4ebe", "14": "d982c7c094e0d01c", "15": "4184c65898b38dd8", "16": "95add6a975c0cb72", "17": "d522c79a290badbf", "18": "38bb0b185ceed116", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "8835aeeaa165e9f9", "22": "af8f2189aee7bcc9", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "08e85dab33772c23", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "a3859fc25c864a81", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "a2b13160223b5a98", "41": "4bc370be8afd7db1", "42": "ffd960136fde00ad", "43": "b434f4a4ecab270c", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "e042d7fe7351bcb9", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "ac5257538f52da80", "56": "91d7ab49459e0b92", "57": "f2a40b5f1b29f669", "58": "16bec50ccad83d20", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "5f4ba3be5e4fe3af", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "74ae017de0ffd36b", "66": "2b037735e1f5b0f6", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "bf75bfc99d4f9e34", "71": "4195478d5c528371", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "c96276581a8c98d4", "77": "d5ce16a18b491627", "78": "bff404f6e2fa3713", "79": "f31ac836426a58b6", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "3dd68cce72af5314", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "85": "1d30b164aa092dc6", "87": "e5fa7717989eda80", "91": "59c31f858c7b6970", "94": "c6eac02ad7178f8e", "95": "e800d832c255899a", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54", "99": "cb5ac3401283c378"}
@@ -1,16 +1,16 @@
 # Graph Report - juzi  (2026-10-12)

 ## Corpus Check
- 68 files · ~4,185,405 words
+- 70 files · ~4,212,892 words
 - Verdict: corpus is large enough that graph structure adds value.

 ## Summary
- 1204 nodes · 2589 edges · 89 communities (72 shown, 17 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 179 edges (avg confidence: 0.53)
+- 1222 nodes · 2613 edges · 93 communities (72 shown, 21 thin omitted)
+- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 180 edges (avg confidence: 0.53)
 - Token cost: 0 input · 0 output

 ## Graph Freshness
- Built from commit: `0ec5e5dc`
+- Built from commit: `85790ef9`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).

@@ -19,24 +19,24 @@
 - 线上闭环测试（不含真实微信授权）
 - app.js
 - skin-score.js
- i
+- k
 - r
- .runAndExtendWithFaceDetections
- Box
+- extractFaceTensors
+- ComputeSingleFaceDescriptorTask
 - admin.js
 - __awaiter
- TinyYolov2Base
+- .forwardInput
 - lib/accounts.js
 - server.js
 - files
- FaceLandmarks
- .runAndExtendWithFaceDetection
+- AgeGenderNet
+- .runAndExtendWithFaceDetections
 - 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
- AgeGenderNet
+- 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
@@ -57,7 +57,7 @@
 - .predictAgeAndGender
 - test/accounts.js
 - export_psd_assets.py
- .toString
+- .toBatchTensor
 - start-local.sh
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictAllFaceExpressionsWithFaceAlignmentTask
@@ -67,7 +67,7 @@
 - call_skinanalyze_3view.sh
 - 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
- pn
+- i
 - report-ui.js
 - regression.js
 - .dispose
@@ -87,16 +87,20 @@
 - TinyYolov2
 - drawFaceExpressions
 - n
- isValidNumber
+- 微信登录联调-2026-10-12.md
 - 线上微信登录部署记录
 - wechat-production.mjs
 - ComputeAllFaceDescriptorsTask
 - 10.09 新版 H5 实施与验收
 - 微信登录联调：2026-10-12
+- FaceLandmarks
 - 产品推荐规则：肤龄基准与边界调整
- 部署
+- login-performance.mjs
+- Box
+- PredictAllFaceExpressionsTask
 - PredictSingleAgeAndGenderWithFaceAlignmentTask
 - PredictSingleFaceExpressionsWithFaceAlignmentTask
+- PredictSingleFaceExpressionsTask

 ## God Nodes (most connected - your core abstractions)
 1. `__awaiter()` - 59 edges
@@ -125,51 +129,47 @@
 ## Import Cycles
 - None detected.

-## Communities (89 total, 17 thin omitted)
+## Communities (93 total, 21 thin omitted)

 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (32): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), extractBoundingBoxes() (+24 more)
+Nodes (29): cn(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), FaceDetection(), ff() (+21 more)

 ### Community 1 - "线上闭环测试（不含真实微信授权）"
 Cohesion: 0.25
 Nodes (7): 发现并修复, 可复现命令, 已通过的检查, 线上闭环测试（不含真实微信授权）, 结论, 话术及仓库同步, 验证边界

 ### Community 2 - "app.js"
-Cohesion: 0.06
-Nodes (74): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyWithFlow(), captureFromVideo(), checkStill(), closeOverlay() (+66 more)
+Cohesion: 0.05
+Nodes (79): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyWithFlow(), captureFromVideo(), checkStill(), closeLoginSuccess() (+71 more)

 ### Community 3 - "skin-score.js"
 Cohesion: 0.12
 Nodes (45): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+37 more)

-### Community 4 - "i"
-Cohesion: 0.09
-Nodes (27): b(), ba(), ca(), da(), dn(), ee(), et(), fa() (+19 more)
+### Community 4 - "k"
+Cohesion: 0.15
+Nodes (15): b(), ba(), ca(), da(), fa(), k(), ne(), pa() (+7 more)

 ### Community 5 - "r"
-Cohesion: 0.15
-Nodes (34): a(), bf(), cf(), d(), drawContour(), dt(), e(), ea() (+26 more)
+Cohesion: 0.14
+Nodes (34): a(), ae(), bf(), cf(), d(), drawContour(), dt(), ea() (+26 more)

-### Community 6 - ".runAndExtendWithFaceDetections"
-Cohesion: 0.33
-Nodes (5): DetectAllFacesTask(), extendWithFaceDetection(), isWithFaceDetection(), isWithFaceLandmarks(), resizeResults()
-
-### Community 7 - "Box"
-Cohesion: 0.16
-Nodes (3): Box(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor()
+### Community 6 - "extractFaceTensors"
+Cohesion: 0.25
+Nodes (4): DetectAllFaceLandmarksTask(), extractFaceTensors(), isTensor3D(), isTensor4D()

 ### Community 8 - "admin.js"
 Cohesion: 0.21
 Nodes (28): ageText(), api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(), dSec() (+20 more)

 ### Community 9 - "__awaiter"
-Cohesion: 0.11
-Nodes (15): __awaiter(), bufferToImage(), ComposableTask(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), fetchImage() (+7 more)
+Cohesion: 0.14
+Nodes (14): __awaiter(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), fetchImage(), fetchJson() (+6 more)

-### Community 10 - "TinyYolov2Base"
-Cohesion: 0.10
-Nodes (22): boxPredictionLayer(), convLayer(), convWithBatchNorm(), decodeBoxesLayer(), depthwiseConvLayer(), depthwiseSeparableConv$1(), fullyConnectedLayer(), getCenterCoordinatesAndSizesLayer() (+14 more)
+### Community 10 - ".forwardInput"
+Cohesion: 0.22
+Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)

 ### Community 11 - "lib/accounts.js"
 Cohesion: 0.17
@@ -177,31 +177,31 @@ Nodes (20): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (

 ### Community 12 - "server.js"
 Cohesion: 0.08
-Nodes (49): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, displaySkinAge(), dumpRaw() (+41 more)
+Nodes (51): accounts, appendRecord(), callFacepp(), CRED, crypto, csvCell(), DATA_DIR, displaySkinAge() (+43 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 - "FaceLandmarks"
-Cohesion: 0.05
-Nodes (25): conv(), conv$1(), convDown(), convLayer$1(), convNoRelu(), denseBlock3(), denseBlock4(), depthwiseSeparableConv() (+17 more)
+### Community 14 - "AgeGenderNet"
+Cohesion: 0.10
+Nodes (6): AgeGenderNet(), extractParams$1(), FaceExpressionNet(), FaceLandmark68NetBase(), FaceLandmark68TinyNet(), FaceProcessor()

-### Community 15 - ".runAndExtendWithFaceDetection"
-Cohesion: 0.23
-Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask()
+### Community 15 - ".runAndExtendWithFaceDetections"
+Cohesion: 0.18
+Nodes (8): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectAllFacesTask(), DetectSingleFaceTask(), extendWithFaceDetection(), resizeResults()

 ### 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: 0.17
-Nodes (20): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractFaceTensors(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+12 more)
+Cohesion: 0.25
+Nodes (16): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+8 more)

 ### Community 18 - "1'me 在线肌肤测试 H5"
-Cohesion: 0.17
-Nodes (12): 10.09 更新, 1'me 在线肌肤测试 H5, Admin API(统一返回 `{ok:false,message}` 错误), 后台查看(admin.html), 密钥配置, 已知占位清单, 技术说明, 拍照交互(动态捕捉自动三连拍) (+4 more)
+Cohesion: 0.13
+Nodes (15): 10.09 更新, 1'me 在线肌肤测试 H5, Admin API(统一返回 `{ok:false,message}` 错误), Windows 本机部署(提测用), 后台查看(admin.html), 密钥配置, 已知占位清单, 技术说明 (+7 more)

 ### Community 19 - "head-pose.js"
 Cohesion: 0.33
@@ -211,13 +211,13 @@ 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 - "AgeGenderNet"
-Cohesion: 0.05
-Nodes (28): AgeGenderNet(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1() (+20 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: 0.24
-Nodes (4): fetchJson(), getModelUris(), loadWeightMap(), TinyFaceDetector()
+Cohesion: 0.22
+Nodes (4): ComposableTask(), getModelUris(), Gf(), TinyFaceDetector()

 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -240,8 +240,8 @@ 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 - "C"
-Cohesion: 0.10
-Nodes (30): Bo(), C(), cd(), cl(), co(), eo(), fo(), Ft() (+22 more)
+Cohesion: 0.12
+Nodes (28): Bo(), C(), cd(), cl(), co(), e(), eo(), fo() (+20 more)

 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
@@ -279,9 +279,9 @@ Nodes (9): assert, create, fs, http, os, path, ReportUI, SkinScore (+1 more)
 Cohesion: 0.70
 Nodes (4): bounds(), layer_at(), main(), save_image()

-### Community 43 - ".toString"
-Cohesion: 0.29
-Nodes (6): ae(), FaceMatch(), la(), pr(), pt(), vt()
+### Community 43 - ".toBatchTensor"
+Cohesion: 0.09
+Nodes (28): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+20 more)

 ### Community 44 - "start-local.sh"
 Cohesion: 0.50
@@ -303,9 +303,9 @@ Nodes (19): 5\.1 轮廓（紧塑力）, 5\.2 皱纹（紧塑力）, 5\.3 肤色
 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 - "pn"
-Cohesion: 0.29
-Nodes (7): bn(), fn(), ln(), pn(), un(), wn(), xn()
+### Community 55 - "i"
+Cohesion: 0.10
+Nodes (21): bn(), dn(), ee(), et(), fn(), i(), je(), ln() (+13 more)

 ### Community 56 - "report-ui.js"
 Cohesion: 0.90
@@ -316,12 +316,12 @@ Cohesion: 0.60
 Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()

 ### Community 58 - ".dispose"
-Cohesion: 0.17
-Nodes (12): extendWithFaceLandmarks(), getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), ObjectDetection(), rescaleAndNormalize() (+4 more)
+Cohesion: 0.14
+Nodes (17): computeReshapedDimensions(), extractBoundingBoxes(), getSizesForScale(), iou(), isEven(), NetInput(), nonMaxSuppression(), nonMaxSuppression$1() (+9 more)

 ### Community 61 - "NeuralNetwork"
-Cohesion: 0.07
-Nodes (26): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+18 more)
+Cohesion: 0.06
+Nodes (28): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+20 more)

 ### Community 62 - "提交前 Review（2026-10-11）"
 Cohesion: 0.40
@@ -337,10 +337,10 @@ Nodes (5): browser(), init(), read(), rememberKind(), request()

 ### Community 65 - "微信登录接入与公网部署说明"
 Cohesion: 0.22
-Nodes (7): 公网服务器配置, 公网真机验收清单, 反向代理与后台保护, 已完成的链路, 微信登录接入与公网部署说明, 数据、迁移与备份, 结论与当前阻碍
+Nodes (7): 公网服务器配置, 公网真机验收清单, 反向代理与后台保护, 已完成的链路, 微信登录接入与公网部署说明, 数据、迁移与备份, 本机开发环境限制（不代表线上状态）

 ### Community 66 - "wechat-browser.mjs"
-Cohesion: 0.25
+Cohesion: 0.22
 Nodes (6): createAccounts, h5, ReportUI, require, root, SkinScore

 ### Community 68 - "analyze-timeout.js"
@@ -353,15 +353,15 @@ Nodes (3): artifacts, errors, samples

 ### Community 77 - "drawFaceExpressions"
 Cohesion: 0.22
-Nodes (6): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceExpressions()
+Nodes (8): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceDetection(), isWithFaceExpressions(), isWithFaceLandmarks()

 ### Community 78 - "n"
-Cohesion: 0.11
-Nodes (29): be(), bi(), ce(), de(), Ef(), er(), fe(), Ie() (+21 more)
+Cohesion: 0.10
+Nodes (31): be(), bi(), ce(), de(), Ef(), er(), fe(), Ie() (+23 more)

-### Community 79 - "isValidNumber"
-Cohesion: 0.33
-Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()
+### Community 79 - "微信登录联调-2026-10-12.md"
+Cohesion: 0.29
+Nodes (4): 体验变化, 慢的原因与处理, 登录反馈与加载优化（2026-10-12）, 验证

 ### Community 80 - "线上微信登录部署记录"
 Cohesion: 0.33
@@ -376,31 +376,35 @@ Cohesion: 0.29
 Nodes (5): 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

 ### Community 84 - "微信登录联调：2026-10-12"
-Cohesion: 0.29
-Nodes (5): 微信登录联调：2026-10-12, 本轮修正, 白名单与凭据, 真实微信验收与排查, 自动验证
+Cohesion: 0.33
+Nodes (6): 后续真机确认与体验优化, 微信登录联调：2026-10-12, 本轮修正, 白名单与凭据, 真实微信验收与排查, 自动验证
+
+### Community 85 - "FaceLandmarks"
+Cohesion: 0.08
+Nodes (12): bgrToRgbTensor(), Dimensions(), extendWithFaceLandmarks(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isValidNumber() (+4 more)

 ### Community 87 - "产品推荐规则：肤龄基准与边界调整"
 Cohesion: 0.33
 Nodes (6): 产品推荐规则：肤龄基准与边界调整, 决策顺序, 后台与前端一致性, 实施与验证范围, 已明确的要求, 已确认的三个条件

-### Community 92 - "部署"
-Cohesion: 0.67
-Nodes (3): Windows 本机部署(提测用), 线上部署(juzi.xiangsilian.com), 部署
+### Community 94 - "Box"
+Cohesion: 0.20
+Nodes (3): Box(), isDimensions(), ObjectDetection()

 ## Knowledge Gaps
- **190 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+185 more)
+- **198 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+193 more)
  These have ≤1 connection - possible missing edges or undocumented components.
- **17 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
+- **21 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 `k()` connect `i` to `face-api.js`, `app.js`, `r`, `.toString`, `lib/accounts.js`, `n`, `C`?**
+- **Why does `r()` connect `r` to `face-api.js`, `.toBatchTensor`, `server.js`, `n`, `i`, `C`?**
  _High betweenness centrality (0.063) - this node is a cross-community bridge._
- **Why does `r()` connect `r` to `face-api.js`, `i`, `.toString`, `server.js`, `n`, `FaceLandmarks`, `C`?**
-  _High betweenness centrality (0.055) - this node is a cross-community bridge._
- **Why does `renderReport()` connect `app.js` to `i`, `n`?**
-  _High betweenness centrality (0.048) - this node is a cross-community bridge._
+- **Why does `renderReport()` connect `app.js` to `k`, `n`?**
+  _High betweenness centrality (0.051) - this node is a cross-community bridge._
+- **Why does `k()` connect `k` to `face-api.js`, `app.js`, `r`, `lib/accounts.js`, `n`, `C`?**
+  _High betweenness centrality (0.047) - 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?**
@@ -408,4 +412,4 @@ _Questions this graph is uniquely positioned to answer:_
 - **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._
 - **What connects `source`, `document_size`, `pages` to the rest of the system?**
-  _190 weakly-connected nodes found - possible documentation gaps or missing edges._
+  _198 weakly-connected nodes found - possible documentation gaps or missing edges._
@@ -40,8 +40,8 @@
    "semantic_hash": ""
  },
  "h5/js/app.js": {
-    "mtime": 1791770434.3399014,
-    "ast_hash": "174b15c983614449ca67a7e5b81a8bbf",
+    "mtime": 1791773775.2349546,
+    "ast_hash": "cda77fb341a0f2573ed3a57c8e536fbb",
    "semantic_hash": ""
  },
  "h5/js/head-pose.js": {
@@ -55,8 +55,8 @@
    "semantic_hash": ""
  },
  "h5/server.js": {
-    "mtime": 1791735707.6717124,
-    "ast_hash": "6bdce03487aaaf9e3ab62f6b39f7a418",
+    "mtime": 1791773587.8349628,
+    "ast_hash": "4895534b06f0c2d29ada96d9b52b4693",
    "semantic_hash": ""
  },
  "h5/test/build_fixtures.py": {
@@ -140,8 +140,8 @@
    "semantic_hash": ""
  },
  "h5/index.html": {
-    "mtime": 1791770434.3399014,
-    "ast_hash": "cfdedacf49c9a83c23155abb39fc7447",
+    "mtime": 1791773528.470933,
+    "ast_hash": "a8248357be1c886421c44845b6038203",
    "semantic_hash": ""
  },
  "h5/vendor/faceapi/README.md": {
@@ -770,8 +770,8 @@
    "semantic_hash": ""
  },
  "h5/test/e2e-browser.mjs": {
-    "mtime": 1791646391.2915454,
-    "ast_hash": "dc47c78ddf5de136d59d73fb19d8da81",
+    "mtime": 1791773638.010959,
+    "ast_hash": "9327216df7c2e80f2615cb7f800b7f1a",
    "semantic_hash": ""
  },
  "h5/assets/svg/prod-badge.svg": {
@@ -1230,12 +1230,12 @@
    "semantic_hash": ""
  },
  "h5/js/account-client.js": {
-    "mtime": 1791770434.3399014,
-    "ast_hash": "d14c4ec5374a8ada79e0e7cd1cc294a0",
+    "mtime": 1791774062.6429472,
+    "ast_hash": "3197b952f29f9e45176d4300082adaae",
    "semantic_hash": ""
  },
  "h5/js/camera-geometry.js": {
-    "mtime": 1791646239.2012978,
+    "mtime": 1791773589.894928,
    "ast_hash": "08048bc5e491ca47275afe067bedbc1c",
    "semantic_hash": ""
  },
@@ -1260,13 +1260,13 @@
    "semantic_hash": ""
  },
  "h5/test/report-persistence.mjs": {
-    "mtime": 1791735750.0753446,
-    "ast_hash": "2933add99f8983a590608ba203182096",
+    "mtime": 1791773638.010959,
+    "ast_hash": "9876c659bb7c3513f871d576f0024e72",
    "semantic_hash": ""
  },
  "h5/test/ui-20261009.mjs": {
-    "mtime": 1791730674.7561882,
-    "ast_hash": "70fb3ba9b32a4c2a9845dbf027bedabb",
+    "mtime": 1791773972.891023,
+    "ast_hash": "3a13f77513f40e5fc04aaeff06a906e8",
    "semantic_hash": ""
  },
  "tools/build_report_copy.py": {
@@ -1275,8 +1275,8 @@
    "semantic_hash": ""
  },
  "tools/prepare_h5_assets.py": {
-    "mtime": 1791646238.76662,
-    "ast_hash": "6567fff1561b8cc43ae956b97adffb7e",
+    "mtime": 1791773528.470933,
+    "ast_hash": "60087af4505ea0fae11a6f3449c7e21e",
    "semantic_hash": ""
  },
  "docs/10.09\u65b0\u7248H5\u5b9e\u65bd\u4e0e\u9a8c\u6536.md": {
@@ -1290,8 +1290,8 @@
    "semantic_hash": ""
  },
  "docs/\u5fae\u4fe1\u767b\u5f55\u63a5\u5165\u4e0e\u516c\u7f51\u90e8\u7f72\u8bf4\u660e.md": {
-    "mtime": 1791770706.5669558,
-    "ast_hash": "b290838863e54d0d6261cb4e43cc0904",
+    "mtime": 1791774038.1869662,
+    "ast_hash": "61af7cde98a3299fcc4619e4776cce2a",
    "semantic_hash": ""
  },
  "h5/assets/fonts/misans/README.md": {
@@ -1475,27 +1475,27 @@
    "semantic_hash": ""
  },
  "h5/assets/img/ui-20261009/bg-history-h5.jpg": {
-    "mtime": 1791646239.0227692,
+    "mtime": 1791773589.4149413,
    "ast_hash": "1dca9bdb3e19bdf837fc317e8dc3d65a",
    "semantic_hash": ""
  },
  "h5/assets/img/ui-20261009/bg-login-h5.jpg": {
-    "mtime": 1791646238.9645536,
+    "mtime": 1791773588.8749564,
    "ast_hash": "bbc72a85580326d228e92c0efd0293aa",
    "semantic_hash": ""
  },
  "h5/assets/img/ui-20261009/bg-profile-h5.jpg": {
-    "mtime": 1791646238.9994829,
+    "mtime": 1791773589.1589484,
    "ast_hash": "bbc72a85580326d228e92c0efd0293aa",
    "semantic_hash": ""
  },
  "h5/assets/img/ui-20261009/bg-report-h5.jpg": {
-    "mtime": 1791646239.1003904,
+    "mtime": 1791773589.5629373,
    "ast_hash": "b49c61b68a714da65fdb706060e1a4f0",
    "semantic_hash": ""
  },
  "h5/assets/img/ui-20261009/bg-splash-h5.jpg": {
-    "mtime": 1791646238.933505,
+    "mtime": 1791773588.2109632,
    "ast_hash": "0ab40c14387e86508639e733fea6d168",
    "semantic_hash": ""
  },
@@ -1530,8 +1530,8 @@
    "semantic_hash": ""
  },
  "h5/test/wechat-browser.mjs": {
-    "mtime": 1791770609.8948362,
-    "ast_hash": "9e3344d5618e59e5e765d16d4b0903b0",
+    "mtime": 1791773972.891023,
+    "ast_hash": "c27ca11dea3026358188f80affee2d6b",
    "semantic_hash": ""
  },
  "docs/2026-10-11\u63d0\u4ea4\u524dReview.md": {
@@ -1545,8 +1545,8 @@
    "semantic_hash": ""
  },
  "h5/test/production-loop.mjs": {
-    "mtime": 1791730674.763797,
-    "ast_hash": "0fa6706f54f034124287d29adc894f71",
+    "mtime": 1791773638.010959,
+    "ast_hash": "0d0d46ec3ecfce9e767e7f31050befe2",
    "semantic_hash": ""
  },
  "docs/\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55-2026-10-11.md": {
@@ -1555,8 +1555,8 @@
    "semantic_hash": ""
  },
  "h5/test/browser-failures.mjs": {
-    "mtime": 1791730674.763797,
-    "ast_hash": "b5eaa9d78296f5c690566ed91a39d467",
+    "mtime": 1791773638.010959,
+    "ast_hash": "8cb2774864d3d59bd5a418ad61819129",
    "semantic_hash": ""
  },
  "docs/\u7ebf\u4e0a\u95ed\u73af\u6d4b\u8bd5-2026-10-11.md": {
@@ -1575,13 +1575,48 @@
    "semantic_hash": ""
  },
  "docs/\u5fae\u4fe1\u767b\u5f55\u8054\u8c03-2026-10-12.md": {
-    "mtime": 1791770818.4989572,
-    "ast_hash": "55253912b649c3ca707acdf2631a9e7f",
+    "mtime": 1791774038.1869662,
+    "ast_hash": "14292d8da8570ff0f8af2aac08d895b8",
    "semantic_hash": ""
  },
  "h5/test/wechat-production.mjs": {
    "mtime": 1791770851.3389251,
    "ast_hash": "ba457695243430e271cfd7927ef22541",
    "semantic_hash": ""
+  },
+  "h5/test/login-performance.mjs": {
+    "mtime": 1791773812.003017,
+    "ast_hash": "1ba88edfa7b259fc319de7f845925582",
+    "semantic_hash": ""
+  },
+  "h5/assets/img/ui-20261009/bg-history-h5.webp": {
+    "mtime": 1791773589.4829395,
+    "ast_hash": "9a886c304206c61fb50c4d8752bd8e7a",
+    "semantic_hash": ""
+  },
+  "h5/assets/img/ui-20261009/bg-login-h5.webp": {
+    "mtime": 1791773589.1229496,
+    "ast_hash": "bbd96b66102dd7af0f9f5b34b0c72cca",
+    "semantic_hash": ""
+  },
+  "h5/assets/img/ui-20261009/bg-profile-h5.webp": {
+    "mtime": 1791773589.3989418,
+    "ast_hash": "bbd96b66102dd7af0f9f5b34b0c72cca",
+    "semantic_hash": ""
+  },
+  "h5/assets/img/ui-20261009/bg-report-h5.webp": {
+    "mtime": 1791773589.8069305,
+    "ast_hash": "c7cbea632696ddb7703faef098f10f1a",
+    "semantic_hash": ""
+  },
+  "h5/assets/img/ui-20261009/bg-splash-h5.webp": {
+    "mtime": 1791773588.8429573,
+    "ast_hash": "9ba24f79e71ab8793eefd4e3271faa68",
+    "semantic_hash": ""
+  },
+  "docs/\u767b\u5f55\u53cd\u9988\u4e0e\u52a0\u8f7d\u4f18\u5316-2026-10-12.md": {
+    "mtime": 1791774062.6429472,
+    "ast_hash": "ffa81f4a1a2b47615d6a4b7a27de0d08",
+    "semantic_hash": ""
  }
 }