fix(h5): sync latest report copy and deployment verification

2026-10-11 22:59:21 +08:00
parent 3dda4ec7ff
commit 7518dc2307
14 changed files with 1981 additions and 863 deletions
@@ -1,52 +1,52 @@
 {
  "0": "face-api.js",
-  "1": "t",
+  "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": "drawFaceExpressions",
-  "7": "Box",
+  "6": "getContext2dOrThrow",
+  "7": "extractFaces",
  "8": "admin.js",
  "9": "__awaiter",
  "10": "AgeGenderNet",
  "11": "lib/accounts.js",
  "12": "server.js",
  "13": "files",
-  "14": ".predictAgeAndGender",
+  "14": "FaceLandmarks",
  "15": ".runAndExtendWithFaceDetection",
  "16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范",
-  "17": "extractFaces",
+  "17": "getEnv",
  "18": "1'me 在线肌肤测试 H5",
  "19": "head-pose.js",
  "20": "build_fixtures.py",
  "21": "disposeUnusedWeightTensors",
-  "22": ".loadFromDisk",
+  "22": ".computeFaceDescriptor",
  "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": "i",
+  "28": "wn",
  "29": "face-api.js 本地化依赖（h5/vendor/faceapi/）",
  "30": "ui-20261009/manifest.json",
-  "31": ".toString",
+  "31": "browser-failures.mjs",
  "32": "FaceMatcher",
  "33": "build-fixture.py",
  "34": "smoke-test.js",
  "35": "DetectSingleFaceLandmarksTask",
-  "36": "C",
+  "36": "so",
  "37": "UI 外发版 10.09 图片资源",
-  "38": "TinyYolov2",
+  "38": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
  "39": "UI交互界面调整",
-  "40": "ComputeAllFaceDescriptorsTask",
-  "41": ".draw",
+  "40": "extractAllFacesAndComputeResults",
+  "41": "initialize",
  "42": "export_psd_assets.py",
  "43": "FaceLandmark68Net",
  "44": "start-local.sh",
  "45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
  "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
-  "47": "k",
+  "47": "TinyYolov2Base",
  "48": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
  "49": "mobile-select/README.md",
  "50": "call_skinanalyze_3view.sh",
@@ -54,24 +54,30 @@
  "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",
+  "55": "NeuralNetwork",
+  "56": "convLayer",
  "57": "regression.js",
  "58": ".dispose",
  "59": "call_skinanalyze.sh",
  "60": "report-fixture.js",
-  "61": "NeuralNetwork",
+  "61": ".extractWeights",
  "62": "提交前 Review（2026-10-11）",
  "63": "e2e-browser.mjs",
  "64": "account-client.js",
-  "65": "PredictSingleFaceExpressionsTask",
-  "66": ".runAndExtendWithFaceDetections",
+  "65": "tt",
+  "66": "cn",
  "67": "ui-20261009.mjs",
-  "68": "ComputeSingleFaceDescriptorTask",
+  "68": "analyze-timeout.js",
  "69": "misans/README.md",
-  "71": "extractFaceTensors",
+  "70": "decodeBoxesLayer",
+  "71": "dr",
  "72": "build_report_copy.py",
  "73": "camera-geometry.js",
  "74": "report-copy.js",
-  "75": "prepare_h5_assets.py"
+  "75": "prepare_h5_assets.py",
+  "76": "TinyYolov2",
+  "77": "FaceDetection",
+  "79": "isValidNumber",
+  "80": "线上微信登录部署记录",
+  "83": "Yo"
 }
@@ -1 +1 @@
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+{"0": "69ee47981e97a7eb", "1": "cb6ea50bd4e4a5ca", "2": "9cf893b45c314643", "3": "8ac814cdb72a1a7d", "4": "0f24ec9aab01e512", "5": "0e8200cefc11b932", "6": "1169f97bb458af6f", "7": "c1ae3952d970e510", "8": "cf2aba493368e557", "9": "8abf7998360e0ccc", "10": "c796af251148a471", "11": "79c3e26b93d030ce", "12": "ab705784bbd1dbdc", "13": "7e3b558a587a4ebe", "14": "186e1f68d4b2dfe9", "15": "5a9014c4a7f87699", "16": "95add6a975c0cb72", "17": "773ca6b3d5102a78", "18": "5aa9c1fc3b3c8196", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "5d94cf57d5d1a6fb", "22": "444ef0744645f5ac", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "cf86030ab36386aa", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "c55f872b3e16ab6f", "37": "cb8f26249485324a", "38": "01f68dfc34a29d32", "39": "fdd95375b4a5ddb3", "40": "3a68564642f68c0d", "41": "eb3733e409dc7411", "42": "ffd960136fde00ad", "43": "9a25b1230b5fe649", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "41f3bef447e57f23", "48": "8c471c7baeaaca54", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "d96493a5f110bd4c", "56": "e649ddeadda89cbb", "57": "f2a40b5f1b29f669", "58": "73a31170f76a338b", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "400fa8ac8b726a66", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "86101547c05f96b9", "65": "3088ae48043ee39d", "66": "932f010dc6115fb4", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "c396c038e5f5007f", "71": "2bfc96d4090afd84", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "29790cf710874dd0", "77": "287d60115d9acda8", "79": "8f647d3ce08ecd2b", "80": "059d6ba8ca7ec3a0", "83": "a54008a71fdd44fa"}
@@ -1,88 +1,94 @@
 # Graph Report - juzi  (2026-10-11)

 ## Corpus Check
- 59 files · ~4,180,488 words
+- 64 files · ~4,182,459 words
 - Verdict: corpus is large enough that graph structure adds value.

 ## Summary
- 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)
+- 1164 nodes · 2523 edges · 81 communities (63 shown, 18 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: `ee744b6b`
+- Built from commit: `3dda4ec7`
 - 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
- t
+- 线上闭环测试（不含真实微信授权）
 - app.js
 - skin-score.js
 - n
 - normalize
- drawFaceExpressions
- Box
+- getContext2dOrThrow
+- extractFaces
 - admin.js
 - __awaiter
 - AgeGenderNet
 - lib/accounts.js
 - server.js
 - files
- .predictAgeAndGender
+- FaceLandmarks
 - .runAndExtendWithFaceDetection
 - 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范
- extractFaces
+- getEnv
 - 1'me 在线肌肤测试 H5
 - head-pose.js
 - build_fixtures.py
 - disposeUnusedWeightTensors
- .loadFromDisk
+- .computeFaceDescriptor
 - 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
- i
+- wn
 - face-api.js 本地化依赖（h5/vendor/faceapi/）
 - ui-20261009/manifest.json
- .toString
+- browser-failures.mjs
 - FaceMatcher
 - build-fixture.py
 - DetectSingleFaceLandmarksTask
- C
+- so
 - UI 外发版 10.09 图片资源
- TinyYolov2
+- PredictSingleAgeAndGenderWithFaceAlignmentTask
 - UI交互界面调整
- ComputeAllFaceDescriptorsTask
- .draw
+- extractAllFacesAndComputeResults
+- initialize
 - export_psd_assets.py
 - FaceLandmark68Net
 - start-local.sh
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictAllFaceExpressionsWithFaceAlignmentTask
- k
+- TinyYolov2Base
 - PredictSingleFaceExpressionsWithFaceAlignmentTask
 - 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
- FaceLandmarks68
- .forwardInput
+- NeuralNetwork
+- convLayer
 - regression.js
 - .dispose
 - call_skinanalyze.sh
- NeuralNetwork
+- .extractWeights
 - 提交前 Review（2026-10-11）
 - e2e-browser.mjs
 - account-client.js
- PredictSingleFaceExpressionsTask
- .runAndExtendWithFaceDetections
+- tt
+- cn
 - ui-20261009.mjs
- ComputeSingleFaceDescriptorTask
+- analyze-timeout.js
 - misans/README.md
- extractFaceTensors
+- decodeBoxesLayer
+- dr
 - build_report_copy.py
+- TinyYolov2
+- FaceDetection
+- isValidNumber
+- 线上微信登录部署记录
+- Yo

 ## God Nodes (most connected - your core abstractions)
 1. `__awaiter()` - 59 edges
@@ -111,15 +117,15 @@
 ## Import Cycles
 - None detected.

-## Communities (75 total, 18 thin omitted)
+## Communities (81 total, 18 thin omitted)

 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (32): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), extractBoundingBoxes() (+24 more)
+Nodes (57): bn(), Bo(), ca(), cd(), ce(), computeReshapedDimensions(), dn(), ee() (+49 more)

-### Community 1 - "t"
-Cohesion: 0.08
-Nodes (33): be(), bi(), Bo(), ce(), de(), e(), Ef(), er() (+25 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
@@ -130,20 +136,20 @@ Cohesion: 0.12
 Nodes (44): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+36 more)

 ### Community 4 - "n"
-Cohesion: 0.17
-Nodes (32): a(), ae(), bf(), cf(), d(), drawContour(), dt(), ea() (+24 more)
+Cohesion: 0.07
+Nodes (88): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+80 more)

 ### Community 5 - "normalize"
-Cohesion: 0.09
-Nodes (26): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+18 more)
+Cohesion: 0.11
+Nodes (17): conv(), conv$1(), convDown(), convLayer$1(), convNoRelu(), denseBlock3(), denseBlock4(), depthwiseSeparableConv() (+9 more)

-### Community 6 - "drawFaceExpressions"
-Cohesion: 0.22
-Nodes (6): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceExpressions()
+### Community 6 - "getContext2dOrThrow"
+Cohesion: 0.12
+Nodes (15): DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), DrawTextField(), extendWithFaceDetection(), FaceExpressions() (+7 more)

-### Community 7 - "Box"
-Cohesion: 0.13
-Nodes (6): Box(), DetectAllFaceLandmarksTask(), extendWithFaceLandmarks(), FaceLandmarks(), minBbox(), ObjectDetection()
+### Community 7 - "extractFaces"
+Cohesion: 0.15
+Nodes (5): Box(), DetectAllFaceLandmarksTask(), extractFaces(), extractFaceTensors(), isTensor3D()

 ### Community 8 - "admin.js"
 Cohesion: 0.25
@@ -151,15 +157,15 @@ Nodes (23): api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(

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

 ### Community 10 - "AgeGenderNet"
-Cohesion: 0.10
-Nodes (6): AgeGenderNet(), extractParams$1(), FaceExpressionNet(), FaceLandmark68NetBase(), FaceLandmark68TinyNet(), FaceProcessor()
+Cohesion: 0.11
+Nodes (5): AgeGenderNet(), FaceExpressionNet(), FaceLandmark68NetBase(), FaceLandmark68TinyNet(), FaceProcessor()

 ### Community 11 - "lib/accounts.js"
-Cohesion: 0.07
-Nodes (40): build(), count(), fill(), numeric(), atomic(), body(), cookie(), cookies() (+32 more)
+Cohesion: 0.06
+Nodes (43): build(), count(), fill(), numeric(), atomic(), body(), cookie(), cookies() (+35 more)

 ### Community 12 - "server.js"
 Cohesion: 0.08
@@ -169,9 +175,9 @@ Nodes (48): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, d
 Cohesion: 0.12
 Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)

-### Community 14 - ".predictAgeAndGender"
-Cohesion: 0.28
-Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
+### Community 14 - "FaceLandmarks"
+Cohesion: 0.10
+Nodes (9): bgrToRgbTensor(), extendWithFaceLandmarks(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions(), minBbox() (+1 more)

 ### Community 15 - ".runAndExtendWithFaceDetection"
 Cohesion: 0.33
@@ -181,9 +187,9 @@ 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 - "extractFaces"
+### Community 17 - "getEnv"
 Cohesion: 0.19
-Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)
+Nodes (14): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractImagePatches(), getEnv(), getMediaDimensions(), imageTensorToCanvas() (+6 more)

 ### Community 18 - "1'me 在线肌肤测试 H5"
 Cohesion: 0.07
@@ -199,11 +205,11 @@ Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), p

 ### Community 21 - "disposeUnusedWeightTensors"
 Cohesion: 0.09
-Nodes (24): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+16 more)
+Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more)

-### Community 22 - ".loadFromDisk"
-Cohesion: 0.25
-Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector()
+### Community 22 - ".computeFaceDescriptor"
+Cohesion: 0.18
+Nodes (4): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), FaceRecognitionNet()

 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -218,16 +224,16 @@ Cohesion: 0.20
 Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)

 ### Community 26 - "wi"
-Cohesion: 0.32
-Nodes (8): Ci(), Ei(), Fi(), Ii(), ki(), ri(), wi(), Xt()
+Cohesion: 0.28
+Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 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 - "i"
-Cohesion: 0.08
-Nodes (32): ba(), bn(), ca(), cl(), da(), dn(), ee(), et() (+24 more)
+### Community 28 - "wn"
+Cohesion: 0.67
+Nodes (3): wl(), wn(), xn()

 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
@@ -237,17 +243,13 @@ Nodes (6): face-api.js 本地化依赖（h5/vendor/faceapi/）, 为什么本地
 Cohesion: 0.33
 Nodes (5): assets, document_size, layers, pages, source

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

 ### Community 37 - "UI 外发版 10.09 图片资源"
 Cohesion: 0.40
@@ -257,6 +259,14 @@ Nodes (4): UI 外发版 10.09 图片资源, 前端素材对应, 文件位置,
 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 41 - "initialize"
+Cohesion: 0.29
+Nodes (7): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), monkeyPatch(), setEnv()
+
 ### Community 42 - "export_psd_assets.py"
 Cohesion: 0.70
 Nodes (4): bounds(), layer_at(), main(), save_image()
@@ -265,10 +275,6 @@ Nodes (4): bounds(), layer_at(), main(), save_image()
 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)
@@ -277,25 +283,21 @@ 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 - "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 56 - "convLayer"
+Cohesion: 0.15
+Nodes (17): boxPredictionLayer(), convLayer(), convWithBatchNorm(), depthwiseConvLayer(), depthwiseSeparableConv$1(), fullyConnectedLayer(), getStridesForLayerIdx(), leaky() (+9 more)

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

 ### Community 58 - ".dispose"
-Cohesion: 0.15
-Nodes (12): getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale(), SsdMobilenetv1() (+4 more)
+Cohesion: 0.21
+Nodes (11): getSizesForScale(), iou(), NetInput(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale() (+3 more)

-### Community 61 - "NeuralNetwork"
-Cohesion: 0.05
-Nodes (32): bgrToRgbTensor(), createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), Dimensions() (+24 more)
+### Community 61 - ".extractWeights"
+Cohesion: 0.09
+Nodes (25): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+17 more)

 ### Community 62 - "提交前 Review（2026-10-11）"
 Cohesion: 0.40
@@ -309,24 +311,52 @@ Nodes (4): EXPECTED, fails, pageErrors, pwRoot
 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)
+### Community 65 - "tt"
+Cohesion: 0.50
+Nodes (4): kn(), tt(), wo(), z()
+
+### Community 66 - "cn"
+Cohesion: 0.67
+Nodes (3): cn(), en(), yn()
+
+### 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 - "dr"
+Cohesion: 0.67
+Nodes (3): dr(), na(), ta()
+
+### Community 79 - "isValidNumber"
+Cohesion: 0.50
+Nodes (4): 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
- **152 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+147 more)
+- **173 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+168 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.

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

- **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 `rate()` connect `lib/accounts.js` to `k`?**
-  _High betweenness centrality (0.055) - this node is a cross-community bridge._
+- **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`?**
+  _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._
 - **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?**
@@ -334,4 +364,4 @@ _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?**
-  _152 weakly-connected nodes found - possible documentation gaps or missing edges._
+  _173 weakly-connected nodes found - possible documentation gaps or missing edges._
@@ -40,8 +40,8 @@
    "semantic_hash": ""
  },
  "h5/js/app.js": {
-    "mtime": 1791646682.4027648,
-    "ast_hash": "b838a3efa4351bb87d5f17644bf83ca7",
+    "mtime": 1791730674.7447748,
+    "ast_hash": "7fe1cc5b34a9367c3fed5d502d304e2b",
    "semantic_hash": ""
  },
  "h5/js/head-pose.js": {
@@ -1240,8 +1240,8 @@
    "semantic_hash": ""
  },
  "h5/js/report-copy.js": {
-    "mtime": 1791645357.4367466,
-    "ast_hash": "86f574571b8e882868fce221677cf097",
+    "mtime": 1791730702.7819743,
+    "ast_hash": "eedcef7cdd1a3f00fe7cb5dabcafb95c",
    "semantic_hash": ""
  },
  "h5/js/report-ui.js": {
@@ -1265,8 +1265,8 @@
    "semantic_hash": ""
  },
  "h5/test/ui-20261009.mjs": {
-    "mtime": 1791646682.4027648,
-    "ast_hash": "c2754fb520f28a48391662a49860687c",
+    "mtime": 1791730674.7561882,
+    "ast_hash": "70fb3ba9b32a4c2a9845dbf027bedabb",
    "semantic_hash": ""
  },
  "tools/build_report_copy.py": {
@@ -1290,8 +1290,8 @@
    "semantic_hash": ""
  },
  "docs/\u5fae\u4fe1\u767b\u5f55\u63a5\u5165\u4e0e\u516c\u7f51\u90e8\u7f72\u8bf4\u660e.md": {
-    "mtime": 1791710640.6026413,
-    "ast_hash": "70d447aea33b739f438e0c24503c2e49",
+    "mtime": 1791730674.7561882,
+    "ast_hash": "6e8f9f9a8b941790adccde55be9b125c",
    "semantic_hash": ""
  },
  "h5/assets/fonts/misans/README.md": {
@@ -1300,8 +1300,8 @@
    "semantic_hash": ""
  },
  "reference/AI\u6d4b\u80a4\u62a5\u544a\u9875\u8bdd\u672f\u4fee\u6539.md": {
-    "mtime": 1791644142.8049476,
-    "ast_hash": "36beb496de948671dd57252803103a9d",
+    "mtime": 1791730674.7447748,
+    "ast_hash": "7e6f8ef4ae4a1c010f3344ccdc088cf6",
    "semantic_hash": ""
  },
  "design/ui-20261009/audit-current/01-splash.png": {
@@ -1538,5 +1538,30 @@
    "mtime": 1791710850.0228443,
    "ast_hash": "93bae80d0b6998a1d31616c512261e68",
    "semantic_hash": ""
+  },
+  "h5/test/analyze-timeout.js": {
+    "mtime": 1791730674.763797,
+    "ast_hash": "c30bdb0ecb2de0b4c280335940e9d01f",
+    "semantic_hash": ""
+  },
+  "h5/test/production-loop.mjs": {
+    "mtime": 1791730674.763797,
+    "ast_hash": "0fa6706f54f034124287d29adc894f71",
+    "semantic_hash": ""
+  },
+  "docs/\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55-2026-10-11.md": {
+    "mtime": 1791730745.132436,
+    "ast_hash": "056f5b8e0ee8920285d9cf8b1764f3f5",
+    "semantic_hash": ""
+  },
+  "h5/test/browser-failures.mjs": {
+    "mtime": 1791730674.763797,
+    "ast_hash": "b5eaa9d78296f5c690566ed91a39d467",
+    "semantic_hash": ""
+  },
+  "docs/\u7ebf\u4e0a\u95ed\u73af\u6d4b\u8bd5-2026-10-11.md": {
+    "mtime": 1791730745.132436,
+    "ast_hash": "04095d09dce4e81349b9256a0e8cb540",
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 }