fix(report): recommend by measured skin age and align admin results

2026-10-12 00:23:57 +08:00
parent 7518dc2307
commit 0ec5e5dc32
21 changed files with 3010 additions and 1875 deletions
@@ -3,31 +3,31 @@
  "1": "线上闭环测试（不含真实微信授权）",
  "2": "app.js",
  "3": "skin-score.js",
-  "4": "n",
-  "5": "normalize",
-  "6": "getContext2dOrThrow",
-  "7": "extractFaces",
+  "4": "i",
+  "5": "n",
+  "6": ".runAndExtendWithFaceDetections",
+  "7": "Box",
  "8": "admin.js",
  "9": "__awaiter",
  "10": "AgeGenderNet",
  "11": "lib/accounts.js",
  "12": "server.js",
  "13": "files",
-  "14": "FaceLandmarks",
+  "14": "FaceLandmarks68",
  "15": ".runAndExtendWithFaceDetection",
  "16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范",
-  "17": "getEnv",
+  "17": "extractFaces",
  "18": "1'me 在线肌肤测试 H5",
  "19": "head-pose.js",
  "20": "build_fixtures.py",
  "21": "disposeUnusedWeightTensors",
-  "22": ".computeFaceDescriptor",
+  "22": "ComputeAllFaceDescriptorsTask",
  "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": "mobile-select.iife.min.js",
  "26": "wi",
  "27": "gen_voice.py",
-  "28": "wn",
+  "28": "C",
  "29": "face-api.js 本地化依赖（h5/vendor/faceapi/）",
  "30": "ui-20261009/manifest.json",
  "31": "browser-failures.mjs",
@@ -35,49 +35,51 @@
  "33": "build-fixture.py",
  "34": "smoke-test.js",
  "35": "DetectSingleFaceLandmarksTask",
-  "36": "so",
+  "36": "ao",
  "37": "UI 外发版 10.09 图片资源",
-  "38": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
+  "38": "FaceLandmark68Net",
  "39": "UI交互界面调整",
-  "40": "extractAllFacesAndComputeResults",
-  "41": "initialize",
+  "40": ".predictAgeAndGender",
+  "41": "test/accounts.js",
  "42": "export_psd_assets.py",
-  "43": "FaceLandmark68Net",
+  "43": ".loadFromDisk",
  "44": "start-local.sh",
  "45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
  "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
-  "47": "TinyYolov2Base",
-  "48": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
+  "47": "recommendation.js",
+  "48": "report-persistence.mjs",
  "49": "mobile-select/README.md",
  "50": "call_skinanalyze_3view.sh",
  "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": "NeuralNetwork",
-  "56": "convLayer",
+  "55": "extractFaceTensors",
+  "56": "report-ui.js",
  "57": "regression.js",
  "58": ".dispose",
  "59": "call_skinanalyze.sh",
  "60": "report-fixture.js",
-  "61": ".extractWeights",
+  "61": "NeuralNetwork",
  "62": "提交前 Review（2026-10-11）",
  "63": "e2e-browser.mjs",
  "64": "account-client.js",
-  "65": "tt",
-  "66": "cn",
+  "65": "k",
+  "66": "wechat-browser.mjs",
  "67": "ui-20261009.mjs",
  "68": "analyze-timeout.js",
  "69": "misans/README.md",
-  "70": "decodeBoxesLayer",
-  "71": "dr",
+  "70": ".draw",
+  "71": "production-loop.mjs",
  "72": "build_report_copy.py",
  "73": "camera-geometry.js",
  "74": "report-copy.js",
  "75": "prepare_h5_assets.py",
  "76": "TinyYolov2",
-  "77": "FaceDetection",
+  "77": "drawFaceExpressions",
+  "78": ".toString",
  "79": "isValidNumber",
  "80": "线上微信登录部署记录",
-  "83": "Yo"
+  "81": "ComputeSingleFaceDescriptorTask",
+  "82": "PredictAllFaceExpressionsTask"
 }
@@ -1 +1 @@
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+{"0": "73743c18a4a7fca9", "1": "cb6ea50bd4e4a5ca", "2": "9cf893b45c314643", "3": "1f737ca8edb978f2", "4": "55697fad20675b78", "5": "be544c1e1f2ddb64", "6": "46204fb2e4d50c53", "7": "fcfa9f1898866dc8", "8": "1ecf47531e1d507b", "9": "2e6b02a61343f092", "10": "563202faef7b3421", "11": "edc9f95405704875", "12": "d3e946c5907aa577", "13": "7e3b558a587a4ebe", "14": "15606ce5d8eec23a", "15": "5a9014c4a7f87699", "16": "95add6a975c0cb72", "17": "2405e1edb003a83e", "18": "300b45cf926eb704", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "d3cd661c24264482", "22": "3dd68cce72af5314", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "6b6c40a418e18aed", "27": "eab427ce9a5219e9", "28": "00f6d1f8841af9c4", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "8e5e97153c881130", "37": "cb8f26249485324a", "38": "e2d12f8289f83819", "39": "fdd95375b4a5ddb3", "40": "a2b13160223b5a98", "41": "4bc370be8afd7db1", "42": "ffd960136fde00ad", "43": "00dab8704da757dc", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "e042d7fe7351bcb9", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "0d376c2f52a725e0", "56": "91d7ab49459e0b92", "57": "f2a40b5f1b29f669", "58": "675690fb61ef5bc7", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "18ffa2c1feddfd10", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "86101547c05f96b9", "65": "b7874aef5ca3f2ee", "66": "2b44d0efd8eb25c5", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "bf75bfc99d4f9e34", "71": "4195478d5c528371", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "29790cf710874dd0", "77": "a0bc88eb14b70170", "78": "42c9bc548e269a96", "79": "1c27e5f448dc4f9c", "80": "059d6ba8ca7ec3a0", "81": "7ac475ea9bc280f8", "82": "e800d832c255899a"}
@@ -1,16 +1,16 @@
-# Graph Report - juzi  (2026-10-11)
+# Graph Report - juzi  (2026-10-12)

 ## Corpus Check
- 64 files · ~4,182,459 words
+- 66 files · ~4,184,136 words
 - Verdict: corpus is large enough that graph structure adds value.

 ## Summary
- 1164 nodes · 2523 edges · 81 communities (63 shown, 18 thin omitted)
+- 1188 nodes · 2566 edges · 83 communities (66 shown, 17 thin omitted)
 - Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 179 edges (avg confidence: 0.53)
 - Token cost: 0 input · 0 output

 ## Graph Freshness
- Built from commit: `3dda4ec7`
+- Built from commit: `7518dc23`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).

@@ -19,76 +19,78 @@
 - 线上闭环测试（不含真实微信授权）
 - app.js
 - skin-score.js
+- i
 - n
- normalize
- getContext2dOrThrow
- extractFaces
+- .runAndExtendWithFaceDetections
+- Box
 - admin.js
 - __awaiter
 - AgeGenderNet
 - lib/accounts.js
 - server.js
 - files
- FaceLandmarks
+- FaceLandmarks68
 - .runAndExtendWithFaceDetection
 - 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范
- getEnv
+- extractFaces
 - 1'me 在线肌肤测试 H5
 - head-pose.js
 - build_fixtures.py
 - disposeUnusedWeightTensors
- .computeFaceDescriptor
+- ComputeAllFaceDescriptorsTask
 - 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
 - mobile-select.iife.min.js
 - wi
 - gen_voice.py
- wn
+- C
 - face-api.js 本地化依赖（h5/vendor/faceapi/）
 - ui-20261009/manifest.json
 - browser-failures.mjs
 - FaceMatcher
 - build-fixture.py
 - DetectSingleFaceLandmarksTask
- so
+- ao
 - UI 外发版 10.09 图片资源
- PredictSingleAgeAndGenderWithFaceAlignmentTask
- UI交互界面调整
- extractAllFacesAndComputeResults
- initialize
- export_psd_assets.py
 - FaceLandmark68Net
+- UI交互界面调整
+- .predictAgeAndGender
+- test/accounts.js
+- export_psd_assets.py
+- .loadFromDisk
 - start-local.sh
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictAllFaceExpressionsWithFaceAlignmentTask
- TinyYolov2Base
- PredictSingleFaceExpressionsWithFaceAlignmentTask
+- recommendation.js
+- report-persistence.mjs
 - mobile-select/README.md
 - 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
- NeuralNetwork
- convLayer
+- extractFaceTensors
+- report-ui.js
 - regression.js
 - .dispose
 - call_skinanalyze.sh
- .extractWeights
+- NeuralNetwork
 - 提交前 Review（2026-10-11）
 - e2e-browser.mjs
 - account-client.js
- tt
- cn
+- k
+- wechat-browser.mjs
 - ui-20261009.mjs
 - analyze-timeout.js
 - misans/README.md
- decodeBoxesLayer
- dr
+- .draw
+- production-loop.mjs
 - build_report_copy.py
 - TinyYolov2
- FaceDetection
+- drawFaceExpressions
+- .toString
 - isValidNumber
 - 线上微信登录部署记录
- Yo
+- ComputeSingleFaceDescriptorTask
+- PredictAllFaceExpressionsTask

 ## God Nodes (most connected - your core abstractions)
 1. `__awaiter()` - 59 edges
@@ -100,7 +102,7 @@
 7. `C()` - 32 edges
 8. `toNetInput()` - 27 edges
 9. `e()` - 22 edges
-10. `f()` - 20 edges
+10. `loadRecords()` - 20 edges

 ## Surprising Connections (you probably didn't know these)
 - `loadRecords()` --indirect_call--> `it()`  [INFERRED]
@@ -117,11 +119,11 @@
 ## Import Cycles
 - None detected.

-## Communities (81 total, 18 thin omitted)
+## Communities (83 total, 17 thin omitted)

 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (57): bn(), Bo(), ca(), cd(), ce(), computeReshapedDimensions(), dn(), ee() (+49 more)
+Nodes (35): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), FaceDetection() (+27 more)

 ### Community 1 - "线上闭环测试（不含真实微信授权）"
 Cohesion: 0.25
@@ -133,51 +135,47 @@ Nodes (74): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyW

 ### Community 3 - "skin-score.js"
 Cohesion: 0.12
-Nodes (44): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+36 more)
+Nodes (45): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+37 more)

-### Community 4 - "n"
-Cohesion: 0.07
-Nodes (88): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+80 more)
+### Community 4 - "i"
+Cohesion: 0.09
+Nodes (42): a(), bf(), cf(), d(), da(), dn(), DrawBox(), drawContour() (+34 more)

-### Community 5 - "normalize"
+### Community 5 - "n"
 Cohesion: 0.11
-Nodes (17): conv(), conv$1(), convDown(), convLayer$1(), convNoRelu(), denseBlock3(), denseBlock4(), depthwiseSeparableConv() (+9 more)
+Nodes (37): ae(), b(), be(), bi(), ce(), de(), e(), Ef() (+29 more)

-### Community 6 - "getContext2dOrThrow"
-Cohesion: 0.12
-Nodes (15): DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), DrawTextField(), extendWithFaceDetection(), FaceExpressions() (+7 more)
-
-### Community 7 - "extractFaces"
-Cohesion: 0.15
-Nodes (5): Box(), DetectAllFaceLandmarksTask(), extractFaces(), extractFaceTensors(), isTensor3D()
+### Community 7 - "Box"
+Cohesion: 0.10
+Nodes (11): Box(), extendWithFaceDescriptor(), extendWithFaceDetection(), extendWithFaceLandmarks(), FaceLandmarks(), FaceRecognitionNet(), isWithFaceDetection(), isWithFaceLandmarks() (+3 more)

 ### Community 8 - "admin.js"
-Cohesion: 0.25
-Nodes (23): api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(), dSec(), el() (+15 more)
+Cohesion: 0.21
+Nodes (28): ageText(), api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(), dSec() (+20 more)

 ### Community 9 - "__awaiter"
 Cohesion: 0.14
-Nodes (12): __awaiter(), ComposableTask(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), getModelUris() (+4 more)
+Nodes (13): __awaiter(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow() (+5 more)

 ### Community 10 - "AgeGenderNet"
-Cohesion: 0.11
-Nodes (5): AgeGenderNet(), FaceExpressionNet(), FaceLandmark68NetBase(), FaceLandmark68TinyNet(), FaceProcessor()
+Cohesion: 0.05
+Nodes (31): AgeGenderNet(), conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm() (+23 more)

 ### Community 11 - "lib/accounts.js"
-Cohesion: 0.06
-Nodes (43): build(), count(), fill(), numeric(), atomic(), body(), cookie(), cookies() (+35 more)
+Cohesion: 0.17
+Nodes (19): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (+11 more)

 ### Community 12 - "server.js"
 Cohesion: 0.08
-Nodes (48): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, dumpRaw(), ERR_MSG (+40 more)
+Nodes (49): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, displaySkinAge(), dumpRaw() (+41 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: 0.10
-Nodes (9): bgrToRgbTensor(), extendWithFaceLandmarks(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions(), minBbox() (+1 more)
+### Community 14 - "FaceLandmarks68"
+Cohesion: 0.19
+Nodes (3): FaceLandmarks5(), FaceLandmarks68(), getCenterPoint()

 ### Community 15 - ".runAndExtendWithFaceDetection"
 Cohesion: 0.33
@@ -187,13 +185,13 @@ Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), dete
 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 - "getEnv"
+### Community 17 - "extractFaces"
 Cohesion: 0.19
-Nodes (14): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractImagePatches(), getEnv(), getMediaDimensions(), imageTensorToCanvas() (+6 more)
+Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)

 ### Community 18 - "1'me 在线肌肤测试 H5"
-Cohesion: 0.07
-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)
+Cohesion: 0.05
+Nodes (33): 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, 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 (+25 more)

 ### Community 19 - "head-pose.js"
 Cohesion: 0.33
@@ -204,12 +202,8 @@ Cohesion: 0.40
 Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)

 ### Community 21 - "disposeUnusedWeightTensors"
-Cohesion: 0.09
-Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more)
-
-### Community 22 - ".computeFaceDescriptor"
-Cohesion: 0.18
-Nodes (4): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), FaceRecognitionNet()
+Cohesion: 0.06
+Nodes (33): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9() (+25 more)

 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -224,16 +218,16 @@ 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: 0.20
+Nodes (12): Ci(), Ei(), Fi(), Ii(), ki(), pe(), Qt(), ri() (+4 more)

 ### 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 - "wn"
-Cohesion: 0.67
-Nodes (3): wl(), wn(), xn()
+### Community 28 - "C"
+Cohesion: 0.08
+Nodes (33): bn(), Bo(), C(), cd(), cl(), co(), eo(), fn() (+25 more)

 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
@@ -247,34 +241,50 @@ Nodes (5): assets, document_size, layers, pages, source
 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 - "ao"
+Cohesion: 0.33
+Nodes (6): ao(), Do(), io(), oo(), so(), To()

 ### Community 37 - "UI 外发版 10.09 图片资源"
 Cohesion: 0.40
 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 38 - "FaceLandmark68Net"
+Cohesion: 0.17
+Nodes (3): FaceLandmark68Net(), PredictSingleAgeAndGenderWithFaceAlignmentTask(), PredictSingleFaceExpressionsWithFaceAlignmentTask()
+
 ### 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 40 - "extractAllFacesAndComputeResults"
-Cohesion: 0.13
-Nodes (9): extendWithAge(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllAgeAndGenderTask(), PredictAllFaceExpressionsTask(), PredictSingleAgeAndGenderTask() (+1 more)
+### Community 40 - ".predictAgeAndGender"
+Cohesion: 0.28
+Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()

-### Community 41 - "initialize"
-Cohesion: 0.29
-Nodes (7): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), monkeyPatch(), setEnv()
+### Community 41 - "test/accounts.js"
+Cohesion: 0.22
+Nodes (9): assert, create, fs, http, os, path, ReportUI, SkinScore (+1 more)

 ### Community 42 - "export_psd_assets.py"
 Cohesion: 0.70
 Nodes (4): bounds(), layer_at(), main(), save_image()

+### Community 43 - ".loadFromDisk"
+Cohesion: 0.29
+Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector()
+
 ### Community 44 - "start-local.sh"
 Cohesion: 0.50
 Nodes (3): HOST, PORT, start-local.sh script

+### Community 47 - "recommendation.js"
+Cohesion: 0.38
+Nodes (6): assert, check(), missing, raw, SS, UI
+
+### Community 48 - "report-persistence.mjs"
+Cohesion: 0.29
+Nodes (6): child, dataRoot, fx, h5, ReportUI, require
+
 ### 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)
@@ -283,21 +293,25 @@ 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 56 - "convLayer"
-Cohesion: 0.15
-Nodes (17): boxPredictionLayer(), convLayer(), convWithBatchNorm(), depthwiseConvLayer(), depthwiseSeparableConv$1(), fullyConnectedLayer(), getStridesForLayerIdx(), leaky() (+9 more)
+### Community 55 - "extractFaceTensors"
+Cohesion: 0.29
+Nodes (3): DetectAllFaceLandmarksTask(), extractFaceTensors(), isTensor3D()
+
+### Community 56 - "report-ui.js"
+Cohesion: 0.90
+Nodes (4): build(), count(), fill(), numeric()

 ### Community 57 - "regression.js"
 Cohesion: 0.60
 Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()

 ### Community 58 - ".dispose"
-Cohesion: 0.21
-Nodes (11): getSizesForScale(), iou(), NetInput(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale() (+3 more)
+Cohesion: 0.16
+Nodes (12): extractBoundingBoxes(), getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale() (+4 more)

-### Community 61 - ".extractWeights"
-Cohesion: 0.09
-Nodes (25): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+17 more)
+### Community 61 - "NeuralNetwork"
+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
@@ -311,52 +325,52 @@ Nodes (4): EXPECTED, fails, pageErrors, pwRoot
 Cohesion: 0.90
 Nodes (4): browser(), init(), read(), request()

-### Community 65 - "tt"
-Cohesion: 0.50
-Nodes (4): kn(), tt(), wo(), z()
+### Community 65 - "k"
+Cohesion: 0.13
+Nodes (16): ba(), ca(), fa(), gn(), k(), kn(), pa(), tt() (+8 more)

-### Community 66 - "cn"
-Cohesion: 0.67
-Nodes (3): cn(), en(), yn()
+### Community 66 - "wechat-browser.mjs"
+Cohesion: 0.40
+Nodes (4): createAccounts, h5, require, root

 ### Community 68 - "analyze-timeout.js"
 Cohesion: 0.20
 Nodes (7): assert, end, fs, path, source, start, vm

-### Community 70 - "decodeBoxesLayer"
-Cohesion: 0.67
-Nodes (3): decodeBoxesLayer(), getCenterCoordinatesAndSizesLayer(), outputLayer()
+### Community 71 - "production-loop.mjs"
+Cohesion: 0.50
+Nodes (3): artifacts, errors, samples

-### Community 71 - "dr"
-Cohesion: 0.67
-Nodes (3): dr(), na(), ta()
+### Community 77 - "drawFaceExpressions"
+Cohesion: 0.50
+Nodes (3): drawFaceExpressions(), FaceExpressions(), isWithFaceExpressions()
+
+### Community 78 - ".toString"
+Cohesion: 0.50
+Nodes (3): FaceMatch(), la(), pr()

 ### Community 79 - "isValidNumber"
-Cohesion: 0.50
-Nodes (4): Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()
+Cohesion: 0.33
+Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()

 ### Community 80 - "线上微信登录部署记录"
 Cohesion: 0.29
 Nodes (6): 初次部署时的凭据查找记录（现已由用户提供）, 初次部署的线上检查（历史结果）, 后续更新：已配置真实凭据, 已执行, 用户确认加入白名单后的复测, 线上微信登录部署记录

-### Community 83 - "Yo"
-Cohesion: 0.67
-Nodes (3): qo(), Xo(), Yo()
-
 ## Knowledge Gaps
- **173 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+168 more)
+- **183 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+178 more)
  These have ≤1 connection - possible missing edges or undocumented components.
- **18 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
+- **17 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 `n` to `face-api.js`, `app.js`, `lib/accounts.js`?**
-  _High betweenness centrality (0.083) - this node is a cross-community bridge._
- **Why does `rate()` connect `lib/accounts.js` to `n`?**
+- **Why does `k()` connect `k` to `face-api.js`, `app.js`, `i`, `n`, `lib/accounts.js`?**
  _High betweenness centrality (0.061) - this node is a cross-community bridge._
- **Why does `renderReport()` connect `app.js` to `n`?**
-  _High betweenness centrality (0.056) - this node is a cross-community bridge._
+- **Why does `r()` connect `n` to `face-api.js`, `i`, `AgeGenderNet`, `server.js`, `.toString`, `wi`, `C`?**
+  _High betweenness centrality (0.050) - this node is a cross-community bridge._
+- **Why does `renderReport()` connect `app.js` to `k`, `n`?**
+  _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?**
@@ -364,4 +378,4 @@ _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?**
-  _173 weakly-connected nodes found - possible documentation gaps or missing edges._
+  _183 weakly-connected nodes found - possible documentation gaps or missing edges._
@@ -40,8 +40,8 @@
    "semantic_hash": ""
  },
  "h5/js/app.js": {
-    "mtime": 1791730674.7447748,
-    "ast_hash": "7fe1cc5b34a9367c3fed5d502d304e2b",
+    "mtime": 1791735440.264282,
+    "ast_hash": "bd18e424efb5c8d037b64d67f869b198",
    "semantic_hash": ""
  },
  "h5/js/head-pose.js": {
@@ -50,13 +50,13 @@
    "semantic_hash": ""
  },
  "h5/js/skin-score.js": {
-    "mtime": 1791645379.1321833,
-    "ast_hash": "12fe3e0e5fd4cbe7f0a79a7da01c380b",
+    "mtime": 1791735501.357809,
+    "ast_hash": "783b6c9abbe2bf1832e8eafe5aead7e3",
    "semantic_hash": ""
  },
  "h5/server.js": {
-    "mtime": 1791710640.6026413,
-    "ast_hash": "a63e26c0f78becff09cc50e427cb0054",
+    "mtime": 1791735707.6717124,
+    "ast_hash": "6bdce03487aaaf9e3ab62f6b39f7a418",
    "semantic_hash": ""
  },
  "h5/test/build_fixtures.py": {
@@ -80,8 +80,8 @@
    "semantic_hash": ""
  },
  "h5/test/regression.js": {
-    "mtime": 1790528158.6705542,
-    "ast_hash": "d83fc0a378d1117fc2203569d325ca24",
+    "mtime": 1791735501.3654072,
+    "ast_hash": "4a712e295c115b6051726cd028e67be2",
    "semantic_hash": ""
  },
  "h5/vendor/faceapi/face-api.js": {
@@ -140,8 +140,8 @@
    "semantic_hash": ""
  },
  "h5/index.html": {
-    "mtime": 1791646269.975195,
-    "ast_hash": "c2661595e503e2f166f1be390696ce0c",
+    "mtime": 1791735440.2604818,
+    "ast_hash": "444fca45ad900710607cb15b852c0305",
    "semantic_hash": ""
  },
  "h5/vendor/faceapi/README.md": {
@@ -815,8 +815,8 @@
    "semantic_hash": ""
  },
  "h5/js/admin.js": {
-    "mtime": 1791556943.863973,
-    "ast_hash": "573a1a971cc3d00a16c8b9d53529f243",
+    "mtime": 1791735707.6717124,
+    "ast_hash": "0de3075fb017762401fd2d27eb26abcb",
    "semantic_hash": ""
  },
  "h5/js/region-data.js": {
@@ -860,8 +860,8 @@
    "semantic_hash": ""
  },
  "h5/admin.html": {
-    "mtime": 1791556943.863973,
-    "ast_hash": "8dad311cd83b0ec640bcf71ddb9a255c",
+    "mtime": 1791735369.9312572,
+    "ast_hash": "ddfe588d49452e3973e21b080e61dbd7",
    "semantic_hash": ""
  },
  "h5/vendor/mobile-select/README.md": {
@@ -1245,23 +1245,23 @@
    "semantic_hash": ""
  },
  "h5/js/report-ui.js": {
-    "mtime": 1791646198.024173,
-    "ast_hash": "5cb7f2ac736b6859ed580f5c934b1061",
+    "mtime": 1791735369.923658,
+    "ast_hash": "b05b0a2181711ce6f05bbe6c16179170",
    "semantic_hash": ""
  },
  "h5/lib/accounts.js": {
-    "mtime": 1791710640.6026413,
-    "ast_hash": "e36024ccb6c9d6a2d2a0187942d5c65b",
+    "mtime": 1791735369.9274576,
+    "ast_hash": "1a0677e439938aa2e9e4decf38fad568",
    "semantic_hash": ""
  },
  "h5/test/accounts.js": {
-    "mtime": 1791710640.6026413,
-    "ast_hash": "f036faf880172eb33e3d0fd4e5c462f7",
+    "mtime": 1791735546.0452847,
+    "ast_hash": "aa05cb7d924b1ddbe8834faeab24588f",
    "semantic_hash": ""
  },
  "h5/test/report-persistence.mjs": {
-    "mtime": 1791710640.6026413,
-    "ast_hash": "92699686424262cfe208355ce040f236",
+    "mtime": 1791735750.0753446,
+    "ast_hash": "2933add99f8983a590608ba203182096",
    "semantic_hash": ""
  },
  "h5/test/ui-20261009.mjs": {
@@ -1280,8 +1280,8 @@
    "semantic_hash": ""
  },
  "docs/10.09\u65b0\u7248H5\u5b9e\u65bd\u4e0e\u9a8c\u6536.md": {
-    "mtime": 1791710850.0228443,
-    "ast_hash": "e3126d7bce54a235d580778609a46dd3",
+    "mtime": 1791735707.6755157,
+    "ast_hash": "6e83c0cd6df4b711c9c526a83f1c33a5",
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  "docs/UI\u5bf9\u9f5010.09\u8bbe\u8ba1\u7a3f-\u8c03\u7814\u4e0e\u5b9e\u65bd\u8ba1\u5212.md": {
@@ -1563,5 +1563,15 @@
    "mtime": 1791730745.132436,
    "ast_hash": "04095d09dce4e81349b9256a0e8cb540",
    "semantic_hash": ""
+  },
+  "h5/test/recommendation.js": {
+    "mtime": 1791735559.0619977,
+    "ast_hash": "589f7046d94485dfc1df20a6129640e0",
+    "semantic_hash": ""
+  },
+  "docs/\u4ea7\u54c1\u63a8\u8350\u89c4\u5219-\u80a4\u9f84\u7248.md": {
+    "mtime": 1791735707.6717124,
+    "ast_hash": "69c1278c6c8eea5866982940e20e421c",
+    "semantic_hash": ""
  }
 }