This commit is contained in:
xsl
2026-10-17 17:01:46 +08:00
parent bb6da17f54
commit d07f8cc1bb
6 changed files with 10220 additions and 2800 deletions
+79 -39
View File
@@ -4,7 +4,7 @@
"2": "app.js",
"3": "skin-score.js",
"4": "customer-feedback-second.js",
"5": "extractFaceTensors",
"5": "showScreen",
"6": "countdown-capture-browser.mjs",
"7": "test/profile-store.js",
"8": "admin.js",
@@ -13,8 +13,8 @@
"11": "lib/accounts.js",
"12": "server.js",
"13": "files",
"14": "showScreen",
"15": "height",
"14": "normalize",
"15": "factual-copy.js",
"16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范",
"17": "extractFaces",
"18": "1'me肌肤状态检测 H5",
@@ -25,7 +25,7 @@
"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": "extractWeightsFactory",
"26": "display-age-recommendation.js",
"27": "gen_voice.py",
"28": "C",
"29": "face-api.js 本地化依赖(h5/vendor/faceapi/)",
@@ -37,16 +37,16 @@
"35": "customer-feedback.js",
"36": "actualFont",
"37": "UI 外发版 10.09 图片资源",
"38": "FaceProcessor",
"38": "最终确认:只改两处文案",
"39": "UI交互界面调整",
"40": "第四轮反馈修改与验收",
"41": "js/beijing-time.js",
"41": "test/capture-funnel.js",
"42": "layer_at",
"43": "extractAllFacesAndComputeResults",
"43": "t",
"44": "start-local.sh",
"45": "NeuralNetwork",
"46": ".toString",
"47": "convLayer",
"45": "dimension-cap.js",
"46": "zoom-fill.js",
"47": ".extractWeights",
"48": "已修改",
"49": "mobile-select/README.md",
"50": "call_skinanalyze_3view.sh",
@@ -65,7 +65,7 @@
"63": "e2e-browser.mjs",
"64": "综合得分:三维度按 4:3:3 加权",
"65": "微信登录接入与公网部署说明",
"66": "七项护理选三与关注优先",
"66": "capture-quality.js",
"67": "ui-20261009.mjs",
"68": "analyze-timeout.js",
"69": "misans/README.md",
@@ -77,7 +77,7 @@
"75": "prepare_h5_assets.py",
"76": "报告页滑动防冲突-2026-10-13.md",
"77": "care-selection.js",
"78": "FaceFeatureExtractor",
"78": "drawFaceExpressions",
"79": "登录反馈与加载优化(2026-10-12)",
"80": "线上微信登录部署记录",
"81": "wechat-production.mjs",
@@ -90,38 +90,36 @@
"88": "ui-20261012/manifest.json",
"89": "傅艳NEW与项思炼的会话 2026年10月12日.md",
"90": "customer-feedback.mjs",
"91": ".extractWeights",
"91": "scan-wait-timeout.js",
"92": "客户反馈修改(2026-10-12)",
"93": "TinyXception",
"93": "vizCompose",
"94": "第三轮反馈:PSD 对齐、验收及上线记录",
"95": ".forwardInput",
"96": "i",
"95": "i",
"96": "capture-funnel-browser.mjs",
"97": "account-client.js",
"98": ".runAndExtendWithFaceDetections",
"99": ".div",
"98": "extractFaceTensors",
"99": "extractAllFacesAndComputeResults",
"100": ".runAndExtendWithFaceDetection",
"101": "wechat-fixture.cjs",
"102": "TinyFaceFeatureExtractor",
"102": ".toString",
"103": "第四轮反馈/傅艳NEW与项思炼的会话 2026年10月12日.md",
"104": "export_fourth_feedback_assets.py",
"105": "capture-quality-browser.mjs",
"106": "第三轮反馈20261012/傅艳NEW与项思炼的会话 2026年10月12日.md",
"107": "h5/README.md",
"108": "profile-interaction.mjs",
"109": "submitPhotos",
"110": "startCamera",
"110": "resetDetectState",
"111": "color-copy.js",
"112": "微信退出登录-2026-10-13.md",
"113": "swipe-track.js",
"114": "optimize_delivery_images.py",
"115": "痘痘按三视图各类型最大数量计分",
"116": ".predictAgeAndGender",
"117": "normalize",
"118": "f",
"116": "capture-no-recheck.js",
"117": "display-grade.js",
"119": "肤色文案与实际黑眼圈等级-2026-10-14.md",
"120": "disposeUnusedWeightTensors",
"121": ".draw",
"122": "doCapture",
"122": "startCamera",
"123": "评分圈内居中、基础信息页固定与正脸语音修复",
"124": "admin-beijing-browser.mjs",
"125": "报告等待页实拍背景-2026-10-12.md",
@@ -132,30 +130,72 @@
"130": "wrinkle-overall.js",
"131": "原始肌龄显示与鸿蒙滚轮兼容",
"132": "harmony-picker.mjs",
"133": "onDetect",
"133": "recommendation.js",
"134": "camera-flip-browser.mjs",
"135": "恢复321与色斑案例复测",
"136": "age",
"136": "七项护理选三与关注优先",
"137": "皱纹改用接口整体评分",
"138": "DetectSingleFaceLandmarksTask",
"138": "拍照报告转化统计-2026-10-16.md",
"139": "private-case-preview.mjs",
"140": "AgeGenderNet",
"141": "start",
"140": "FaceLandmarks68",
"141": "实测描述与旧护理兼容:修复复测",
"142": "tone-dark-circle.js",
"143": "recommendation.js",
"143": "test/accounts.js",
"144": "肤色项加入黑眼圈20%,色素图30%叠加",
"145": "PredictAllAgeAndGenderWithFaceAlignmentTask",
"146": "FaceLandmark68Net",
"146": "NeuralNetwork",
"147": "拍摄角度不合格震动提醒-2026-10-13.md",
"148": "PredictAllFaceExpressionsWithFaceAlignmentTask",
"149": "report-persistence.mjs",
"150": ".forwardInput",
"151": "FaceRecognitionNet",
"152": "FaceExpressionNet",
"150": "R20261015-104945-ZC5V",
"151": "wechat-browser.mjs",
"152": "customer-feedback-fourth.mjs",
"153": "tone-overlay-browser.mjs",
"154": "wi",
"155": "游客不留存与弹窗护理间距调整",
"156": "FaceLandmarks68",
"155": "h5/README.md",
"156": "报告文案统一按十分制分档",
"157": "水分文案独立分档",
"158": "drawFaceExpressions"
"158": "R20261015-111214-JKNS",
"159": "皱纹三视图标注",
"160": "age",
"161": "head-pose.js",
"162": "contour-eye-copy.js",
"163": "test/wrinkle-jobs.js",
"164": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
"165": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
"166": "扫描等待30秒兜底-2026-10-16.md",
"167": "线上最近10条成功案例:报告文案对照",
"168": "R20261015-103650-FVQA",
"169": "R20261015-105002-HVEV",
"170": "R20261015-105142-4UTP",
"171": "R20261015-144549-7CNL",
"172": "拍摄光线仅提示-2026-10-16.md",
"173": "R20261015-104209-V2J6",
"174": "R20261015-104729-BLXO",
"175": "R20261015-112350-ZLOF",
"176": "逐条页卡文案全文对照",
"177": "report-copy-cases.js",
"178": "login-performance.mjs",
"179": "contour-sides.mjs",
"180": "production-loop.mjs",
"181": "save",
"182": "capture-diagnostics.js",
"184": "wrinkle-three-views.mjs",
"185": "FaceLandmark68Net",
"187": "取消拍后校验-2026-10-16.md",
"188": "wi",
"189": "convLayer",
"190": "FaceProcessor",
"191": "extractConvParamsFactory",
"192": "convLayer$1",
"193": ".forwardInput",
"194": "wrinkle-async-browser.mjs",
"195": "AgeGenderNet",
"196": ".runAndExtendWithFaceDetections",
"197": "FaceExpressionNet",
"198": "FaceFeatureExtractor",
"199": "DetectSingleFaceLandmarksTask",
"200": "TinyXception",
"201": "TinyFaceFeatureExtractor",
"202": "TinyYolov2",
"205": "侧脸皱纹浮层异步加载-2026-10-16.md"
}
File diff suppressed because one or more lines are too long
+327 -185
View File
@@ -1,16 +1,16 @@
# Graph Report - juzi (2026-10-15)
# Graph Report - juzi (2026-10-16)
## Corpus Check
- 147 files · ~5,059,946 words
- 178 files · ~5,066,846 words
- Verdict: corpus is large enough that graph structure adds value.
## Summary
- 1670 nodes · 3158 edges · 159 communities (126 shown, 33 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 222 edges (avg confidence: 0.58)
- 1969 nodes · 3493 edges · 199 communities (154 shown, 45 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 235 edges (avg confidence: 0.58)
- Token cost: 0 input · 0 output
## Graph Freshness
- Built from commit: `77493bdf`
- Built from commit: `571d78a2`
- Run `git rev-parse HEAD` and compare to check if the graph is stale.
- Run `graphify update .` after code changes (no API cost).
@@ -20,7 +20,7 @@
- app.js
- skin-score.js
- customer-feedback-second.js
- extractFaceTensors
- showScreen
- test/profile-store.js
- admin.js
- __awaiter
@@ -28,8 +28,8 @@
- lib/accounts.js
- server.js
- files
- showScreen
- height
- normalize
- factual-copy.js
- 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范
- extractFaces
- 1'me肌肤状态检测 H5
@@ -40,7 +40,7 @@
- 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
- extractWeightsFactory
- display-age-recommendation.js
- gen_voice.py
- C
- face-api.js 本地化依赖(h5/vendor/faceapi/)
@@ -50,16 +50,16 @@
- build-fixture.py
- customer-feedback.js
- UI 外发版 10.09 图片资源
- FaceProcessor
- 最终确认:只改两处文案
- UI交互界面调整
- 第四轮反馈修改与验收
- js/beijing-time.js
- test/capture-funnel.js
- layer_at
- extractAllFacesAndComputeResults
- t
- start-local.sh
- NeuralNetwork
- .toString
- convLayer
- dimension-cap.js
- zoom-fill.js
- .extractWeights
- 已修改
- mobile-select/README.md
- call_skinanalyze_3view.sh
@@ -75,7 +75,7 @@
- e2e-browser.mjs
- 综合得分:三维度按 4:3:3 加权
- 微信登录接入与公网部署说明
- 七项护理选三与关注优先
- capture-quality.js
- ui-20261009.mjs
- analyze-timeout.js
- misans/README.md
@@ -85,7 +85,7 @@
- water-copy.js
- 报告页滑动防冲突-2026-10-13.md
- care-selection.js
- FaceFeatureExtractor
- drawFaceExpressions
- 登录反馈与加载优化(2026-10-12)
- 线上微信登录部署记录
- wechat-production.mjs
@@ -97,34 +97,32 @@
- 产品推荐规则:肤龄基准与边界调整
- ui-20261012/manifest.json
- 傅艳NEW与项思炼的会话 2026年10月12日.md
- .extractWeights
- scan-wait-timeout.js
- 客户反馈修改(2026-10-12)
- TinyXception
- vizCompose
- 第三轮反馈:PSD 对齐、验收及上线记录
- .forwardInput
- i
- capture-funnel-browser.mjs
- account-client.js
- .runAndExtendWithFaceDetections
- .div
- extractFaceTensors
- extractAllFacesAndComputeResults
- .runAndExtendWithFaceDetection
- wechat-fixture.cjs
- TinyFaceFeatureExtractor
- .toString
- 第四轮反馈/傅艳NEW与项思炼的会话 2026年10月12日.md
- 第三轮反馈20261012/傅艳NEW与项思炼的会话 2026年10月12日.md
- h5/README.md
- profile-interaction.mjs
- submitPhotos
- startCamera
- resetDetectState
- color-copy.js
- 微信退出登录-2026-10-13.md
- 痘痘按三视图各类型最大数量计分
- .predictAgeAndGender
- normalize
- f
- capture-no-recheck.js
- display-grade.js
- 肤色文案与实际黑眼圈等级-2026-10-14.md
- disposeUnusedWeightTensors
- .draw
- doCapture
- startCamera
- 评分圈内居中、基础信息页固定与正脸语音修复
- admin-beijing-browser.mjs
- 报告等待页实拍背景-2026-10-12.md
@@ -134,36 +132,76 @@
- wrinkle-overall.js
- 原始肌龄显示与鸿蒙滚轮兼容
- harmony-picker.mjs
- onDetect
- 恢复321与色斑案例复测
- age
- 皱纹改用接口整体评分
- DetectSingleFaceLandmarksTask
- private-case-preview.mjs
- AgeGenderNet
- start
- tone-dark-circle.js
- recommendation.js
- 恢复321与色斑案例复测
- 七项护理选三与关注优先
- 皱纹改用接口整体评分
- 拍照报告转化统计-2026-10-16.md
- private-case-preview.mjs
- FaceLandmarks68
- 实测描述与旧护理兼容:修复复测
- tone-dark-circle.js
- test/accounts.js
- 肤色项加入黑眼圈20%,色素图30%叠加
- PredictAllAgeAndGenderWithFaceAlignmentTask
- FaceLandmark68Net
- NeuralNetwork
- 拍摄角度不合格震动提醒-2026-10-13.md
- PredictAllFaceExpressionsWithFaceAlignmentTask
- report-persistence.mjs
- .forwardInput
- FaceRecognitionNet
- FaceExpressionNet
- wi
- 游客不留存与弹窗护理间距调整
- FaceLandmarks68
- R20261015-104945-ZC5V
- wechat-browser.mjs
- customer-feedback-fourth.mjs
- h5/README.md
- 报告文案统一按十分制分档
- 水分文案独立分档
- drawFaceExpressions
- R20261015-111214-JKNS
- 皱纹三视图标注
- age
- head-pose.js
- contour-eye-copy.js
- test/wrinkle-jobs.js
- PredictSingleAgeAndGenderWithFaceAlignmentTask
- PredictSingleFaceExpressionsWithFaceAlignmentTask
- 扫描等待30秒兜底-2026-10-16.md
- 线上最近10条成功案例:报告文案对照
- R20261015-103650-FVQA
- R20261015-105002-HVEV
- R20261015-105142-4UTP
- R20261015-144549-7CNL
- 拍摄光线仅提示-2026-10-16.md
- R20261015-104209-V2J6
- R20261015-104729-BLXO
- R20261015-112350-ZLOF
- 逐条页卡文案全文对照
- report-copy-cases.js
- login-performance.mjs
- production-loop.mjs
- save
- capture-diagnostics.js
- FaceLandmark68Net
- 取消拍后校验-2026-10-16.md
- wi
- convLayer
- FaceProcessor
- extractConvParamsFactory
- convLayer$1
- .forwardInput
- wrinkle-async-browser.mjs
- AgeGenderNet
- .runAndExtendWithFaceDetections
- FaceExpressionNet
- FaceFeatureExtractor
- DetectSingleFaceLandmarksTask
- TinyXception
- TinyFaceFeatureExtractor
- TinyYolov2
- 侧脸皱纹浮层异步加载-2026-10-16.md
## God Nodes (most connected - your core abstractions)
1. `__awaiter()` - 59 edges
2. `__generator()` - 59 edges
3. `n()` - 39 edges
4. `r()` - 35 edges
4. `r()` - 36 edges
5. `i()` - 34 edges
6. `t()` - 32 edges
7. `C()` - 32 edges
@@ -178,91 +216,91 @@
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
- `checkStill()` --indirect_call--> `d()` [INFERRED]
h5/js/app.js → h5/vendor/faceapi/face-api.js
- `detectFrame()` --indirect_call--> `d()` [INFERRED]
h5/js/app.js → h5/vendor/faceapi/face-api.js
- `vizWrinkleMarks()` --indirect_call--> `key()` [INFERRED]
h5/js/app.js → h5/js/profile-store.js
## Import Cycles
- None detected.
## Communities (159 total, 33 thin omitted)
## Communities (199 total, 45 thin omitted)
### Community 0 - "face-api.js"
Cohesion: 0.02
Nodes (39): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), Dimensions(), dr(), en() (+31 more)
Nodes (46): boxPredictionLayer(), cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), decodeBoxesLayer(), depthwiseConvLayer() (+38 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: 0.11
Nodes (22): applyMirror(), cancelSkinDrag(), effMirror(), esc(), goSkin(), loginAllowed(), loginWechat(), openHistory() (+14 more)
Cohesion: 0.09
Nodes (22): cancelSkinDrag(), clearCaptureCountdown(), decode(), drain(), esc(), goSkin(), load(), loginAllowed() (+14 more)
### Community 3 - "skin-score.js"
Cohesion: 0.07
Nodes (63): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+55 more)
Nodes (64): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+56 more)
### Community 4 - "customer-feedback-second.js"
Cohesion: 0.14
Nodes (11): assert, context, events, face, fs, geometry, original, path (+3 more)
Cohesion: 0.13
Nodes (12): assert, context, events, face, fs, geometry, missingHints, original (+4 more)
### Community 5 - "extractFaceTensors"
Cohesion: 0.11
Nodes (8): bgrToRgbTensor(), Box(), DetectAllFaceLandmarksTask(), extendWithFaceLandmarks(), extractFaceTensors(), FaceLandmarks(), minBbox(), ObjectDetection()
### Community 5 - "showScreen"
Cohesion: 0.27
Nodes (10): enterGuest(), loadAppFont(), loginSucceeded(), logoutWechat(), openOverlay(), prepareScanArtwork(), renderAccountStatus(), resetReport() (+2 more)
### Community 7 - "test/profile-store.js"
Cohesion: 0.14
Nodes (13): assert, data, empty, now, other, Profile, quota, regions (+5 more)
### Community 8 - "admin.js"
Cohesion: 0.19
Nodes (31): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+23 more)
Cohesion: 0.18
Nodes (32): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+24 more)
### Community 9 - "__awaiter"
Cohesion: 0.14
Nodes (13): __awaiter(), bufferToImage(), ComposableTask(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator() (+5 more)
Cohesion: 0.12
Nodes (13): __awaiter(), ComposableTask(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), getModelUris() (+5 more)
### Community 10 - "n"
Cohesion: 0.12
Nodes (36): ae(), be(), bf(), bi(), ce(), de(), e(), Ef() (+28 more)
Nodes (48): a(), ae(), be(), bf(), ce(), cf(), d(), de() (+40 more)
### Community 11 - "lib/accounts.js"
Cohesion: 0.06
Nodes (40): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (+32 more)
Cohesion: 0.16
Nodes (19): body(), cookie(), cookies(), crypto, fs, json(), login(), net (+11 more)
### Community 12 - "server.js"
Cohesion: 0.08
Nodes (54): accounts, appendRecord(), BeijingTime, callFacepp(), CaptureDiagnostics, CRED, crypto, csvCell() (+46 more)
Cohesion: 0.06
Nodes (65): collect(), hasAnnotation(), accounts, appendRecord(), BeijingTime, callFacepp(), CaptureDiagnostics, captureFunnel (+57 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 - "showScreen"
Cohesion: 0.19
Nodes (13): enterGuest(), loadAppFont(), loginSucceeded(), logoutWechat(), openOverlay(), prepareScanArtwork(), renderAccountStatus(), resetReport() (+5 more)
### Community 14 - "normalize"
Cohesion: 0.26
Nodes (8): conv(), denseBlock3(), denseBlock4(), depthwiseSeparableConv(), mainBlock(), normalize(), reductionBlock(), __spreadArrays()
### Community 15 - "height"
Cohesion: 0.24
Nodes (6): height(), FaceLandmark68NetBase(), getSizesForScale(), normalize$1(), rescaleAndNormalize(), TinyYolov2Base()
### Community 15 - "factual-copy.js"
Cohesion: 0.13
Nodes (13): assert, before, bytes, Copy, display, missing, Original, r (+5 more)
### 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: 0.20
Nodes (18): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv(), getMediaDimensions() (+10 more)
Cohesion: 0.19
Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)
### Community 18 - "1'me肌肤状态检测 H5"
Cohesion: 0.13
Nodes (15): 10.09 更新, 1'me肌肤状态检测 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 - "customer-feedback-fourth.js"
Cohesion: 0.06
Nodes (38): evaluate(), finite(), assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal() (+30 more)
Cohesion: 0.12
Nodes (17): assert, brokenLandmarks, check(), Diagnostics, face(), HeadPose, held, ReportUI (+9 more)
### Community 20 - "build_fixtures.py"
Cohesion: 0.40
@@ -284,9 +322,9 @@ Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策
Cohesion: 0.20
Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)
### Community 26 - "extractWeightsFactory"
Cohesion: 0.21
Nodes (13): extractConvParamsFactory(), extractFCParamsFactory(), extractorsFactory(), extractorsFactory$1(), extractorsFactory$6(), extractorsFactory$8(), extractParams(), extractParams$1() (+5 more)
### Community 26 - "display-age-recommendation.js"
Cohesion: 0.20
Nodes (9): assert, before, bytes, old, presentation, saved, SS, UI (+1 more)
### Community 27 - "gen_voice.py"
Cohesion: 0.30
@@ -294,7 +332,7 @@ Nodes (11): ndarray, Path, gen_countdown(), main(), normalize_clip(), 倒计时
### Community 28 - "C"
Cohesion: 0.09
Nodes (32): ao(), Bo(), C(), cd(), co(), Do(), eo(), fo() (+24 more)
Nodes (31): ao(), Bo(), C(), cd(), co(), Do(), eo(), fo() (+23 more)
### Community 29 - "face-api.js 本地化依赖(h5/vendor/faceapi/)"
Cohesion: 0.29
@@ -309,13 +347,17 @@ 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 35 - "customer-feedback.js"
Cohesion: 0.06
Nodes (27): alternate, approved, assert, crop, details, excellent, fs, model (+19 more)
Cohesion: 0.05
Nodes (32): acneBefore, acneMarks, acneRaw, alternate, approved, assert, crop, details (+24 more)
### 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 - "最终确认:只改两处文案"
Cohesion: 0.50
Nodes (3): 保留的逻辑修复, 最终确认:只改两处文案, 验证
### 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**
@@ -324,29 +366,33 @@ Nodes (4): 1meAI测肤旷视UI问题反馈, UI交互界面调整, 交互, **设
Cohesion: 0.22
Nodes (8): PSD 来源, 前端参数及限制, 后台校准留痕, 已确认并实现, 生产部署及只读验收, 皱纹(紧塑力)原文, 第四轮反馈修改与验收, 验证
### Community 41 - "js/beijing-time.js"
Cohesion: 0.24
Nodes (10): boundary(), day(), format(), milliseconds(), range(), shifted(), assert, instant (+2 more)
### Community 41 - "test/capture-funnel.js"
Cohesion: 0.06
Nodes (36): boundary(), day(), format(), milliseconds(), range(), shifted(), BeijingTime, extras (+28 more)
### Community 42 - "layer_at"
Cohesion: 0.18
Nodes (11): list, bounds(), layer_at(), main(), save_image(), composite(), main(), sha256() (+3 more)
### Community 43 - "extractAllFacesAndComputeResults"
Cohesion: 0.12
Nodes (8): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllFaceExpressionsTask(), PredictSingleFaceExpressionsTask()
### Community 43 - "t"
Cohesion: 0.14
Nodes (14): bi(), Ef(), er(), ia(), Ie(), j(), Kt(), Mf() (+6 more)
### Community 44 - "start-local.sh"
Cohesion: 0.50
Nodes (3): HOST, PORT, start-local.sh script
### Community 46 - ".toString"
Cohesion: 0.12
Nodes (11): FaceLandmarks5(), FaceMatch(), getCenterPoint(), la(), Point(), pr(), pt(), vt() (+3 more)
### Community 45 - "dimension-cap.js"
Cohesion: 0.22
Nodes (8): assert, before, legacy, r, S, saved, UI, vm
### Community 47 - "convLayer"
Cohesion: 0.43
Nodes (8): convLayer(), fullyConnectedLayer(), ONet(), PNet(), prelu(), qh(), RNet(), sharedLayer()
### Community 46 - "zoom-fill.js"
Cohesion: 0.18
Nodes (10): assert, canvases, context, drawn, frame, fs, helper, img (+2 more)
### Community 47 - ".extractWeights"
Cohesion: 0.15
Nodes (14): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractFCParamsFactory(), extractorsFactory$2() (+6 more)
### Community 48 - "已修改"
Cohesion: 0.22
@@ -354,7 +400,7 @@ Nodes (8): 12 日第二批:明确项修改, 公网部署与复核(2026-10-12
### 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)
Nodes (20): 2026-10-15 本次确认范围, 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) (+12 more)
### Community 54 - "UI 对齐 10.09 设计稿:调研与实施计划"
Cohesion: 0.11
@@ -365,16 +411,16 @@ Cohesion: 0.25
Nodes (5): child, dataRoot, fx, h5, require
### Community 56 - "report-ui.js"
Cohesion: 0.47
Nodes (8): build(), count(), dimensionScore(), fill(), focusOf(), numeric(), scalar(), wrinkleDetails()
Cohesion: 0.35
Nodes (12): build(), count(), dimensionScore(), fill(), focusOf(), forDisplay(), internalLevel(), levelForScore() (+4 more)
### Community 57 - "regression.js"
Cohesion: 0.60
Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
### Community 58 - ".forwardInput"
Cohesion: 0.15
Nodes (9): iou(), nonMaxSuppression(), nonMaxSuppression$1(), scale(), SsdMobilenetv1(), stage1(), stage2(), stage3() (+1 more)
Cohesion: 0.11
Nodes (16): height(), extractBoundingBoxes(), FaceLandmark68NetBase(), FaceRecognitionNet(), getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1() (+8 more)
### Community 61 - "报告布局与跟手交互调整"
Cohesion: 0.33
@@ -396,9 +442,9 @@ Nodes (4): 已确认公式, 本地验证, 生效位置, 综合得分:三维度
Cohesion: 0.29
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 - "七项护理选三与关注优先"
Cohesion: 0.50
Nodes (3): 七项护理选三与关注优先, 真实案例回放, 验证
### Community 66 - "capture-quality.js"
Cohesion: 0.60
Nodes (3): evaluate(), finite(), scoreThreshold()
### Community 68 - "analyze-timeout.js"
Cohesion: 0.20
@@ -409,13 +455,17 @@ Cohesion: 0.29
Nodes (3): errors, samples, unexpectedWrites
### Community 74 - "water-copy.js"
Cohesion: 0.22
Nodes (6): assert, Copy, crossed, example, SS, UI
Cohesion: 0.18
Nodes (9): assert, Copy, crossed, example, old, savedBefore, SS, UI (+1 more)
### Community 77 - "care-selection.js"
Cohesion: 0.24
Cohesion: 0.22
Nodes (9): assert, check(), Copy, heavy, keys, sample(), SS, UI (+1 more)
### Community 78 - "drawFaceExpressions"
Cohesion: 0.22
Nodes (6): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceExpressions()
### Community 79 - "登录反馈与加载优化(2026-10-12)"
Cohesion: 0.25
Nodes (5): 体验变化, 公网部署后复测, 慢的原因与处理, 登录反馈与加载优化(2026-10-12), 验证
@@ -433,8 +483,8 @@ Cohesion: 0.40
Nodes (4): 参数对照, 拍摄约束放宽与标题更新, 标题, 验证与发布
### Community 83 - "10.09 新版 H5 实施与验收"
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
Cohesion: 0.22
Nodes (6): 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, 产品推荐按报告展示肌龄
### Community 84 - "微信登录联调:2026-10-12"
Cohesion: 0.33
@@ -452,37 +502,41 @@ Nodes (6): 产品推荐规则:肤龄基准与边界调整, 决策顺序, 后
Cohesion: 0.22
Nodes (8): assets, design_scale, document_size, native_header_px, shape_metrics, source, source_sha256, text_styles
### Community 91 - ".extractWeights"
Cohesion: 0.20
Nodes (8): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractorsFactory$4(), extractParams$5()
### Community 91 - "scan-wait-timeout.js"
Cohesion: 0.22
Nodes (6): assert, fs, helpers, source, submit, vm
### Community 92 - "客户反馈修改(2026-10-12)"
Cohesion: 0.33
Nodes (5): 公网部署与复测, 客户反馈修改(2026-10-12), 皱纹数据说明, 逐项处理, 验证
### Community 93 - "vizCompose"
Cohesion: 0.17
Nodes (15): loadReportWrinkles(), renderContourSides(), renderReport(), renderViz(), renderWrinkleSides(), setDim(), vizCollectMarks(), vizCompose() (+7 more)
### Community 94 - "第三轮反馈:PSD 对齐、验收及上线记录"
Cohesion: 0.33
Nodes (5): 原稿与导出可追溯性, 已完成, 本地验证, 生产部署及只读验收, 第三轮反馈:PSD 对齐、验收及上线记录
### Community 95 - ".forwardInput"
Cohesion: 0.22
Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
### Community 95 - "i"
Cohesion: 0.07
Nodes (37): b(), ba(), bn(), ca(), cl(), da(), dn(), ee() (+29 more)
### Community 96 - "i"
Cohesion: 0.08
Nodes (31): ba(), bn(), ca(), cl(), da(), dn(), ee(), et() (+23 more)
### Community 96 - "capture-funnel-browser.mjs"
Cohesion: 0.50
Nodes (3): child, h5, root
### Community 97 - "account-client.js"
Cohesion: 0.53
Nodes (8): browser(), clearGuestCache(), ensureGuest(), guest(), init(), logout(), rememberKind(), request()
### Community 98 - ".runAndExtendWithFaceDetections"
Cohesion: 0.20
Nodes (8): DetectAllFacesTask(), DrawBox(), drawDetections(), DrawFaceLandmarks(), extendWithFaceDetection(), isWithFaceDetection(), isWithFaceLandmarks(), resizeResults()
### Community 98 - "extractFaceTensors"
Cohesion: 0.09
Nodes (13): bgrToRgbTensor(), Box(), DetectAllFaceLandmarksTask(), extendWithFaceDetection(), extendWithFaceLandmarks(), extractFaceTensors(), FaceLandmarks(), isTensor3D() (+5 more)
### Community 99 - ".div"
Cohesion: 0.31
Nodes (6): conv(), denseBlock3(), denseBlock4(), depthwiseSeparableConv(), mainBlock(), reductionBlock()
### Community 99 - "extractAllFacesAndComputeResults"
Cohesion: 0.10
Nodes (11): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithAge(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult() (+3 more)
### Community 100 - ".runAndExtendWithFaceDetection"
Cohesion: 0.33
@@ -492,21 +546,21 @@ Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), dete
Cohesion: 0.50
Nodes (3): crypto, fs, path
### Community 107 - "h5/README.md"
Cohesion: 0.22
Nodes (6): 回归命令, 基础信息记忆与肤质拖动, 肤质交互, 范围, 真实案例回放(当前规则), 透亮感改为三项独立最低分
### Community 102 - ".toString"
Cohesion: 0.12
Nodes (11): FaceLandmarks5(), FaceMatch(), getCenterPoint(), la(), Point(), pr(), pt(), vt() (+3 more)
### Community 108 - "profile-interaction.mjs"
Cohesion: 0.40
Nodes (3): dragBy(), h5, touch()
### Community 109 - "submitPhotos"
Cohesion: 0.24
Nodes (12): bindBackdropClose(), closeLoginSuccess(), closeOverlay(), handleCamHidden(), leaveCamera(), photosByView(), popHistorySilently(), requestAnalyze() (+4 more)
Cohesion: 0.22
Nodes (14): beginCaptureJourney(), bindBackdropClose(), closeLoginSuccess(), closeOverlay(), handleCamHidden(), leaveCamera(), photosByView(), popHistorySilently() (+6 more)
### Community 110 - "startCamera"
Cohesion: 0.17
Nodes (16): beginDetect(), detTick(), enableFallback(), getCamStream(), hideCamStatus(), loadFaceApi(), loadModels(), maybeStartDetect() (+8 more)
### Community 110 - "resetDetectState"
Cohesion: 0.13
Nodes (27): afterCurrent(), armNudge(), busyWithFlow(), captureHaptic(), captureStageHint(), detectFrame(), detTick(), doCapture() (+19 more)
### Community 111 - "color-copy.js"
Cohesion: 0.25
@@ -516,25 +570,21 @@ Nodes (7): assert, descriptions, missing, SS, templates, UI, v
Cohesion: 0.40
Nodes (4): 后台和历史, 痘痘按三视图各类型最大数量计分, 规则, 验证
### Community 116 - ".predictAgeAndGender"
Cohesion: 0.28
Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
### Community 116 - "capture-no-recheck.js"
Cohesion: 0.18
Nodes (10): assert, completed, ctx, Diagnostics, fileFunction, fs, normalized, path (+2 more)
### Community 117 - "normalize"
Cohesion: 0.36
Nodes (8): conv$1(), convDown(), convLayer$1(), convNoRelu(), normalize(), residual(), residualDown(), __spreadArrays()
### Community 118 - "f"
Cohesion: 0.15
Nodes (30): a(), b(), cf(), d(), drawContour(), dt(), ea(), f() (+22 more)
### Community 117 - "display-grade.js"
Cohesion: 0.17
Nodes (11): assert, Copy, display, keys, old, oldBytes, r, SS (+3 more)
### Community 120 - "disposeUnusedWeightTensors"
Cohesion: 0.12
Cohesion: 0.10
Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more)
### Community 122 - "doCapture"
Cohesion: 0.21
Nodes (17): afterCurrent(), armNudge(), busyWithFlow(), captureFromVideo(), captureStageHint(), doCapture(), dropHint(), handleCamVisible() (+9 more)
### Community 122 - "startCamera"
Cohesion: 0.19
Nodes (14): applyMirror(), beginDetect(), effMirror(), enableFallback(), getCamStream(), loadFaceApi(), loadModels(), onCamTrackEnded() (+6 more)
### Community 123 - "评分圈内居中、基础信息页固定与正脸语音修复"
Cohesion: 0.40
@@ -564,17 +614,17 @@ Nodes (6): assert, base, changed, onlyOverall, SS, UI
Cohesion: 0.50
Nodes (3): 原始肌龄显示与鸿蒙滚轮兼容, 回归, 范围
### Community 133 - "onDetect"
Cohesion: 0.32
Nodes (8): captureHaptic(), checkStill(), detectFrame(), faceLuma(), faceOffsetX(), onDetect(), resetAngleHaptic(), updateAngleHaptic()
### Community 133 - "recommendation.js"
Cohesion: 0.33
Nodes (6): assert, check(), missing, raw, SS, UI
### Community 135 - "恢复321与色斑案例复测"
Cohesion: 0.50
Nodes (3): 恢复321与色斑案例复测, 拍摄提示音, 真实色斑案例
### Community 136 - "age"
Cohesion: 0.36
Nodes (4): age(), clean(), create(), key()
### Community 136 - "七项护理选三与关注优先"
Cohesion: 0.50
Nodes (3): 七项护理选三与关注优先, 真实案例回放, 验证
### Community 137 - "皱纹改用接口整体评分"
Cohesion: 0.50
@@ -584,69 +634,161 @@ Nodes (3): 案例复算, 皱纹改用接口整体评分, 验证
Cohesion: 0.29
Nodes (6): fixture, mime, photos, raw, root, server
### Community 141 - "start"
Cohesion: 0.29
Nodes (7): decode(), drain(), load(), preload(), start(), stopCur(), unlock()
### Community 141 - "实测描述与旧护理兼容:修复复测"
Cohesion: 0.22
Nodes (8): R20261015-103650-FVQA, R20261015-111214-JKNS, R20261015-144549-7CNL, 同一批10条真实案例复测, 实测描述与旧护理兼容:修复复测, 新版代表文案, 本次修改, 自动化回归
### Community 142 - "tone-dark-circle.js"
Cohesion: 0.33
Nodes (5): a, assert, near(), SS, UI
### Community 143 - "recommendation.js"
Cohesion: 0.33
Nodes (6): assert, check(), missing, raw, SS, UI
### Community 143 - "test/accounts.js"
Cohesion: 0.22
Nodes (9): assert, create, fs, http, os, path, ReportUI, SkinScore (+1 more)
### Community 144 - "肤色项加入黑眼圈20%,色素图30%叠加"
Cohesion: 0.40
Nodes (4): 图像, 用户确认的评分口径, 肤色项加入黑眼圈20%,色素图30%叠加, 验证
### Community 148 - "PredictAllFaceExpressionsWithFaceAlignmentTask"
Cohesion: 0.17
Nodes (3): PredictAllFaceExpressionsWithFaceAlignmentTask(), PredictSingleAgeAndGenderWithFaceAlignmentTask(), PredictSingleFaceExpressionsWithFaceAlignmentTask()
### Community 149 - "report-persistence.mjs"
Cohesion: 0.29
Nodes (6): child, dataRoot, fx, h5, ReportUI, require
### Community 150 - ".forwardInput"
Cohesion: 0.47
Nodes (3): convWithBatchNorm(), depthwiseSeparableConv$1(), leaky()
### Community 150 - "R20261015-104945-ZC5V"
Cohesion: 0.29
Nodes (7): R20261015-104945-ZC5V, 水分:改善→优秀(新版十分制显示 9.4), 泛红:改善→优秀(新版十分制显示 9.3), 痘痘:良好→优秀(新版十分制显示 9.6), 皱纹:改善→优秀(新版十分制显示 9.0), 肤色:改善→优秀(新版十分制显示 9.4), 轮廓:良好→优秀(新版十分制显示 9.7)
### Community 151 - "FaceRecognitionNet"
### Community 151 - "wechat-browser.mjs"
Cohesion: 0.22
Nodes (6): createAccounts, h5, ReportUI, require, root, SkinScore
### Community 152 - "customer-feedback-fourth.mjs"
Cohesion: 0.29
Nodes (6): CaptureQuality, child, dataRoot, h5, ReportUI, require
### Community 155 - "h5/README.md"
Cohesion: 0.15
Nodes (9): 回归命令, 基础信息记忆与肤质拖动, 肤质交互, 范围, 发版范围, 游客不留存与弹窗护理间距调整, 验证, 真实案例回放(当前规则) (+1 more)
### Community 156 - "报告文案统一按十分制分档"
Cohesion: 0.29
Nodes (6): 历史数据, 原因与规则, 回归, 报告文案统一按十分制分档, 真实案例复核, 覆盖范围
### Community 158 - "R20261015-111214-JKNS"
Cohesion: 0.29
Nodes (7): R20261015-111214-JKNS, 平滑度:良好→优秀(新版十分制显示 9.7), 水分:改善→优秀(新版十分制显示 9.9), 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.2), 肤色:改善→良好(新版十分制显示 8.8), 轮廓:优秀→优秀(新版十分制显示 9.7)
### Community 160 - "age"
Cohesion: 0.36
Nodes (4): age(), clean(), create(), key()
### Community 161 - "head-pose.js"
Cohesion: 0.33
Nodes (3): extractorsFactory$2(), extractParams$4(), FaceRecognitionNet()
Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(), makeSide(), midpoint()
### Community 154 - "wi"
### Community 162 - "contour-eye-copy.js"
Cohesion: 0.20
Nodes (9): assert, base, before, display, expected, raw, S, saved (+1 more)
### Community 163 - "test/wrinkle-jobs.js"
Cohesion: 0.13
Nodes (17): crypto, fs, path, register(), remember(), run(), save(), unavailable() (+9 more)
### Community 167 - "线上最近10条成功案例:报告文案对照"
Cohesion: 0.33
Nodes (5): 10条总览, 代表性差异, 发布前建议, 线上最近10条成功案例:报告文案对照, 结论
### Community 168 - "R20261015-103650-FVQA"
Cohesion: 0.33
Nodes (6): R20261015-103650-FVQA, 水分:良好→优秀(新版十分制显示 9.9), 泛红:改善→良好(新版十分制显示 8.4), 痘痘:良好→优秀(新版十分制显示 9.7), 皱纹:改善→优秀(新版十分制显示 9.3), 肤色:良好→优秀(新版十分制显示 9.5)
### Community 169 - "R20261015-105002-HVEV"
Cohesion: 0.33
Nodes (6): R20261015-105002-HVEV, 平滑度:良好→优秀(新版十分制显示 9.5), 水分:良好→优秀(新版十分制显示 9.9), 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.0), 肤色:良好→优秀(新版十分制显示 9.3)
### Community 170 - "R20261015-105142-4UTP"
Cohesion: 0.33
Nodes (6): R20261015-105142-4UTP, 平滑度:良好→优秀(新版十分制显示 9.5), 水分:良好→优秀(新版十分制显示 9.9), 痘痘:良好→优秀(新版十分制显示 9.6), 皱纹:改善→良好(新版十分制显示 8.9), 肤色:良好→优秀(新版十分制显示 9.3)
### Community 171 - "R20261015-144549-7CNL"
Cohesion: 0.33
Nodes (6): R20261015-144549-7CNL, 泛红:改善→优秀(新版十分制显示 9.3), 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.3), 肤色:良好→优秀(新版十分制显示 9.6), 轮廓:改善→优秀(新版十分制显示 9.4)
### Community 173 - "R20261015-104209-V2J6"
Cohesion: 0.40
Nodes (5): R20261015-104209-V2J6, 水分:良好→优秀(新版十分制显示 9.9), 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.1), 肤色:良好→优秀(新版十分制显示 9.4)
### Community 174 - "R20261015-104729-BLXO"
Cohesion: 0.40
Nodes (5): R20261015-104729-BLXO, 水分:良好→优秀(新版十分制显示 10.0), 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.0), 肤色:良好→优秀(新版十分制显示 9.4)
### Community 175 - "R20261015-112350-ZLOF"
Cohesion: 0.40
Nodes (5): R20261015-112350-ZLOF, 水分:良好→优秀(新版十分制显示 9.9), 泛红:改善→良好(新版十分制显示 8.7), 痘痘:良好→优秀(新版十分制显示 9.7), 肤色:良好→优秀(新版十分制显示 9.4)
### Community 176 - "逐条页卡文案全文对照"
Cohesion: 0.40
Nodes (5): R20261015-134214-Y6L7, 痘痘:良好→优秀(新版十分制显示 9.9), 皱纹:改善→优秀(新版十分制显示 9.2), 轮廓:改善→优秀(新版十分制显示 9.4), 逐条页卡文案全文对照
### Community 177 - "report-copy-cases.js"
Cohesion: 0.40
Nodes (4): assert, cases, fs, UI
### Community 180 - "production-loop.mjs"
Cohesion: 0.50
Nodes (3): artifacts, errors, samples
### Community 181 - "save"
Cohesion: 0.50
Nodes (5): atomic(), reportSnapshot(), save(), storeReport(), updateWrinkleViews()
### Community 182 - "capture-diagnostics.js"
Cohesion: 0.38
Nodes (6): assess(), CaptureQuality, HeadPose, normalize(), scalar(), views
### Community 188 - "wi"
Cohesion: 0.28
Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more)
### Community 155 - "游客不留存与弹窗护理间距调整"
Cohesion: 0.50
Nodes (3): 发版范围, 游客不留存与弹窗护理间距调整, 验证
### Community 189 - "convLayer"
Cohesion: 0.36
Nodes (8): convLayer(), fullyConnectedLayer(), ONet(), PNet(), prelu(), qh(), RNet(), sharedLayer()
### Community 158 - "drawFaceExpressions"
Cohesion: 0.50
Nodes (3): drawFaceExpressions(), FaceExpressions(), isWithFaceExpressions()
### Community 191 - "extractConvParamsFactory"
Cohesion: 0.24
Nodes (9): extractConvParamsFactory(), extractorsFactory(), extractorsFactory$1(), extractorsFactory$6(), extractorsFactory$8(), extractParams(), extractParams$6(), extractParamsTiny() (+1 more)
### Community 192 - "convLayer$1"
Cohesion: 0.47
Nodes (6): conv$1(), convDown(), convLayer$1(), convNoRelu(), residual(), residualDown()
### Community 193 - ".forwardInput"
Cohesion: 0.47
Nodes (3): convWithBatchNorm(), depthwiseSeparableConv$1(), leaky()
### Community 194 - "wrinkle-async-browser.mjs"
Cohesion: 0.40
Nodes (4): child, dir, h5, require
## Knowledge Gaps
- **441 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+436 more)
- **653 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+648 more)
These have ≤1 connection - possible missing edges or undocumented components.
- **33 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
- **45 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 `height()` connect `height` to `app.js`, `customer-feedback.js`, `extractFaceTensors`, `scan-placeholder.mjs`, `profile-interaction.mjs`, `showScreen`, `extractFaces`, `.forwardInput`?**
_High betweenness centrality (0.044) - this node is a cross-community bridge._
- **Why does `r()` connect `n` to `face-api.js`, `i`, `server.js`, `.toString`, `normalize`, `f`, `C`?**
_High betweenness centrality (0.033) - this node is a cross-community bridge._
- **Why does `n()` connect `n` to `face-api.js`, `i`, `skin-score.js`, `server.js`, `acne-three-view.js`, `f`, `C`?**
_High betweenness centrality (0.028) - this node is a cross-community bridge._
- **Why does `height()` connect `.forwardInput` to `app.js`, `customer-feedback.js`, `extractFaceTensors`, `showScreen`, `scan-placeholder.mjs`, `profile-interaction.mjs`, `extractFaces`?**
_High betweenness centrality (0.045) - this node is a cross-community bridge._
- **Why does `r()` connect `n` to `face-api.js`, `.toString`, `test/capture-funnel.js`, `t`, `server.js`, `normalize`, `C`, `i`?**
_High betweenness centrality (0.035) - this node is a cross-community bridge._
- **Why does `n()` connect `n` to `face-api.js`, `skin-score.js`, `t`, `server.js`, `acne-three-view.js`, `C`, `i`?**
_High betweenness centrality (0.027) - this node is a cross-community bridge._
- **Are the 26 inferred relationships involving `n()` (e.g. with `calcAcne()` and `newRecordId()`) actually correct?**
_`n()` has 26 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 28 inferred relationships involving `r()` (e.g. with `ingest()` and `handleExport()`) actually correct?**
_`r()` has 28 INFERRED edges - model-reasoned connections that need verification._
- **Are the 10 inferred relationships involving `i()` (e.g. with `report-persistence.mjs` and `da()`) actually correct?**
_`i()` has 10 INFERRED edges - model-reasoned connections that need verification._
- **What connects `source`, `document_size`, `pages` to the rest of the system?**
_441 weakly-connected nodes found - possible documentation gaps or missing edges._
_653 weakly-connected nodes found - possible documentation gaps or missing edges._
File diff suppressed because one or more lines are too long
+9586 -2503
View File
File diff suppressed because it is too large Load Diff
+223 -68
View File
@@ -40,23 +40,23 @@
"semantic_hash": ""
},
"h5/js/app.js": {
"mtime": 1791997508.305589,
"ast_hash": "18a46103211b61bc28411752adc49133",
"mtime": 1792148228.1725585,
"ast_hash": "606796c7bf51f17bdadf83ee9bc76b30",
"semantic_hash": ""
},
"h5/js/head-pose.js": {
"mtime": 1791819697.652488,
"ast_hash": "303298be5be4af0e25b609a83795a810",
"mtime": 1792070106.4565594,
"ast_hash": "8d8256c7ee28c725f4e5b4a429455bac",
"semantic_hash": ""
},
"h5/js/skin-score.js": {
"mtime": 1792046332.1885464,
"ast_hash": "96afdc807eaf06bd861a39f39ed119df",
"mtime": 1792148550.126307,
"ast_hash": "5fc0f09032bf3ece46312d5b060c91ee",
"semantic_hash": ""
},
"h5/server.js": {
"mtime": 1792046437.6590993,
"ast_hash": "a7b6deccacb03cff6c0dc6ab9764ae16",
"mtime": 1792148550.122564,
"ast_hash": "6e8f1c90c7673d52691cfc11d7aac613",
"semantic_hash": ""
},
"h5/test/build_fixtures.py": {
@@ -80,8 +80,8 @@
"semantic_hash": ""
},
"h5/test/regression.js": {
"mtime": 1792046332.1885464,
"ast_hash": "4c7998dc9962ce109bde7bc29891d538",
"mtime": 1792066212.160884,
"ast_hash": "4fd58d98a1cc12a7a19745092f1e15ba",
"semantic_hash": ""
},
"h5/vendor/faceapi/face-api.js": {
@@ -140,8 +140,8 @@
"semantic_hash": ""
},
"h5/index.html": {
"mtime": 1791997577.3025386,
"ast_hash": "d643e8ee571d51ed6e61c8a3fc70dedd",
"mtime": 1792140157.1269789,
"ast_hash": "a6c0d49e3c0f23f436446aa4f0a4a06c",
"semantic_hash": ""
},
"h5/vendor/faceapi/README.md": {
@@ -815,8 +815,8 @@
"semantic_hash": ""
},
"h5/js/admin.js": {
"mtime": 1792046275.1971712,
"ast_hash": "339073665d8a01c84d169ca696a108b5",
"mtime": 1792148279.018301,
"ast_hash": "a20c65d76c3f65e89d9ecb685d700cae",
"semantic_hash": ""
},
"h5/js/region-data.js": {
@@ -860,8 +860,8 @@
"semantic_hash": ""
},
"h5/admin.html": {
"mtime": 1791961354.4159153,
"ast_hash": "62ac1907dbb55dcc52e01a54ecd3bd1f",
"mtime": 1792136351.592967,
"ast_hash": "8b6c17ed20217424aafa2f9383a5195e",
"semantic_hash": ""
},
"h5/vendor/mobile-select/README.md": {
@@ -1240,18 +1240,18 @@
"semantic_hash": ""
},
"h5/js/report-copy.js": {
"mtime": 1792044306.7377708,
"ast_hash": "ac8f1225149a88902b2b35476e1258f5",
"mtime": 1792119867.9142396,
"ast_hash": "4d8562a761d5e80b83627df39e3d2d6e",
"semantic_hash": ""
},
"h5/js/report-ui.js": {
"mtime": 1792044306.7105672,
"ast_hash": "866badf68a4534927262c037eec35eca",
"mtime": 1792148470.2383204,
"ast_hash": "dc51361171b0126b2f21da3fbe3e6b8c",
"semantic_hash": ""
},
"h5/lib/accounts.js": {
"mtime": 1791872963.6609082,
"ast_hash": "cfc1a9590dc7e1ee9a8faf2fa23d6eaa",
"mtime": 1792148228.1725585,
"ast_hash": "ad0f3c61ada00a0d6b0dc3ed3d2bf43f",
"semantic_hash": ""
},
"h5/test/accounts.js": {
@@ -1260,8 +1260,8 @@
"semantic_hash": ""
},
"h5/test/report-persistence.mjs": {
"mtime": 1792046332.1885464,
"ast_hash": "8f79e7750a0565508e487e1d3b34e6f3",
"mtime": 1792148394.0279312,
"ast_hash": "765ec67ba0ad43b480d57b3fc847fa6e",
"semantic_hash": ""
},
"h5/test/ui-20261009.mjs": {
@@ -1300,8 +1300,8 @@
"semantic_hash": ""
},
"reference/AI\u6d4b\u80a4\u62a5\u544a\u9875\u8bdd\u672f\u4fee\u6539.md": {
"mtime": 1792044306.7105672,
"ast_hash": "1ecb0769c53f7af44c991ba099359fc6",
"mtime": 1792119867.8840585,
"ast_hash": "8042fb30daafa9942cf46e27a19a709d",
"semantic_hash": ""
},
"design/ui-20261009/audit-current/01-splash.png": {
@@ -1540,8 +1540,8 @@
"semantic_hash": ""
},
"h5/test/analyze-timeout.js": {
"mtime": 1791800811.939266,
"ast_hash": "07b7c2248ae3fd4112046828ce522318",
"mtime": 1792137936.2202272,
"ast_hash": "e87c7f42ce92ee6464af3463aead3ada",
"semantic_hash": ""
},
"h5/test/production-loop.mjs": {
@@ -1565,13 +1565,13 @@
"semantic_hash": ""
},
"h5/test/recommendation.js": {
"mtime": 1791992669.0684593,
"ast_hash": "5730679945db5d4ed684f9cd32b1dd7a",
"mtime": 1792148550.126307,
"ast_hash": "fb89d42b850cbbf54cd6cb189f48b65c",
"semantic_hash": ""
},
"docs/\u4ea7\u54c1\u63a8\u8350\u89c4\u5219-\u80a4\u9f84\u7248.md": {
"mtime": 1791735707.6717124,
"ast_hash": "69c1278c6c8eea5866982940e20e421c",
"mtime": 1792148470.2383204,
"ast_hash": "7b448209ee4f3be3f4a65fc9d86eabff",
"semantic_hash": ""
},
"docs/\u5fae\u4fe1\u767b\u5f55\u8054\u8c03-2026-10-12.md": {
@@ -1620,8 +1620,8 @@
"semantic_hash": ""
},
"h5/test/customer-feedback.js": {
"mtime": 1791806985.2188702,
"ast_hash": "b0897ac30075bc2a350af40ef6660733",
"mtime": 1792065226.843781,
"ast_hash": "80941e33bb834ed1b120ac83a90e8dd8",
"semantic_hash": ""
},
"h5/test/customer-feedback.mjs": {
@@ -1675,8 +1675,8 @@
"semantic_hash": ""
},
"h5/test/customer-feedback-second.js": {
"mtime": 1791884874.9650493,
"ast_hash": "a16f86030060a31b8e44cd2f673c1559",
"mtime": 1792137543.797617,
"ast_hash": "b0643aea1a92733a259d53b7342aad4c",
"semantic_hash": ""
},
"h5/test/customer-feedback-second.mjs": {
@@ -1805,28 +1805,28 @@
"semantic_hash": ""
},
"h5/js/capture-quality.js": {
"mtime": 1791884831.1770513,
"ast_hash": "fa113a7f933091cdec309d5988cfea8a",
"mtime": 1792137441.2704568,
"ast_hash": "8b4570b827eed27570a4bff3c0e7e25b",
"semantic_hash": ""
},
"h5/lib/capture-diagnostics.js": {
"mtime": 1791800706.5472584,
"ast_hash": "7fec6b17bde84b1df8ef30d026c0af66",
"mtime": 1792137441.2704568,
"ast_hash": "2f2433117ddaa0d6367954456a99f9bb",
"semantic_hash": ""
},
"h5/test/capture-quality-browser.mjs": {
"mtime": 1791819803.979456,
"ast_hash": "a4164c6ce0209e18a0b22a93745c90cf",
"mtime": 1792137627.2183216,
"ast_hash": "a7aaaa81d7b9a7c56b02751f9695bb1f",
"semantic_hash": ""
},
"h5/test/customer-feedback-fourth.js": {
"mtime": 1791884945.1610558,
"ast_hash": "716783c536dd5f2b9e6725f2ac759793",
"mtime": 1792137441.2704568,
"ast_hash": "6e162ac194ebca6611ed2c8692ab953d",
"semantic_hash": ""
},
"h5/test/customer-feedback-fourth.mjs": {
"mtime": 1791876371.4169395,
"ast_hash": "382525c8787f18026f6638f0f960d1e0",
"mtime": 1792064944.0438669,
"ast_hash": "79406f61ffdece2d34ab19d139aefaf4",
"semantic_hash": ""
},
"tools/export_fourth_feedback_assets.py": {
@@ -1975,8 +1975,8 @@
"semantic_hash": ""
},
"h5/test/guest-privacy.mjs": {
"mtime": 1791997759.4912488,
"ast_hash": "11848a289d0bebe297820d6e237af8d4",
"mtime": 1792063312.584469,
"ast_hash": "9d77ff05f907aa39b79e114e7432959d",
"semantic_hash": ""
},
"h5/test/wechat-fixture.cjs": {
@@ -2030,8 +2030,8 @@
"semantic_hash": ""
},
"h5/test/weighted-total.js": {
"mtime": 1791957989.9934402,
"ast_hash": "60d8d205e8ddc5a68121507541918503",
"mtime": 1792066095.1604717,
"ast_hash": "3e07e35851719cd8c61571ecb06852a6",
"semantic_hash": ""
},
"docs/\u7efc\u5408\u5f97\u5206\u4e09\u7ef4\u5ea6\u52a0\u6743-2026-10-14.md": {
@@ -2065,8 +2065,8 @@
"semantic_hash": ""
},
"h5/test/wrinkle-overall.js": {
"mtime": 1791980083.2038245,
"ast_hash": "ffa2ca48177c85816f776bcffd02d73e",
"mtime": 1792066095.1604717,
"ast_hash": "213fbac73cb20131edb507c46b9766e9",
"semantic_hash": ""
},
"docs/\u76b1\u7eb9\u6539\u7528\u63a5\u53e3\u6574\u4f53\u8bc4\u5206-2026-10-14.md": {
@@ -2075,8 +2075,8 @@
"semantic_hash": ""
},
"h5/test/acne-three-view.js": {
"mtime": 1791987276.41401,
"ast_hash": "c0308f9f314a0fec03be052165f4565c",
"mtime": 1792047898.477616,
"ast_hash": "4481d834dfa5a74b0bea44285846cfcc",
"semantic_hash": ""
},
"docs/\u75d8\u75d8\u4e09\u89c6\u56fe\u5206\u7c7b\u6700\u5927\u6570\u91cf\u8ba1\u5206-2026-10-14.md": {
@@ -2100,8 +2100,8 @@
"semantic_hash": ""
},
"h5/test/countdown-capture-browser.mjs": {
"mtime": 1791992454.4517965,
"ast_hash": "b3bd12ee9c697bc28e6c0b54a73cd561",
"mtime": 1792137441.2704568,
"ast_hash": "7ed7c448052132231301648fe78ca3b1",
"semantic_hash": ""
},
"h5/test/pigmentation-case-browser.mjs": {
@@ -2120,8 +2120,8 @@
"semantic_hash": ""
},
"h5/test/color-copy.js": {
"mtime": 1792044306.7105672,
"ast_hash": "f1e8ae0f65f1cd17263c171c6435e063",
"mtime": 1792052385.2846854,
"ast_hash": "51d4c544f23d7c9235689f1f863befba",
"semantic_hash": ""
},
"docs/\u80a4\u8272\u6587\u6848\u4e0e\u5b9e\u9645\u9ed1\u773c\u5708\u7b49\u7ea7-2026-10-14.md": {
@@ -2130,8 +2130,8 @@
"semantic_hash": ""
},
"h5/test/report-bottom-figma.mjs": {
"mtime": 1791999287.71825,
"ast_hash": "ebde53e93a34e4ed5f877c65af1456b0",
"mtime": 1792065167.0812862,
"ast_hash": "7f998e93116d4e9e5cee58f5f8c7f357",
"semantic_hash": ""
},
"docs/\u62a5\u544a\u5e95\u90e8Figma\u8fd8\u539f-2026-10-15.md": {
@@ -2180,13 +2180,13 @@
"semantic_hash": ""
},
"h5/test/private-case-preview.mjs": {
"mtime": 1792034626.0099716,
"ast_hash": "b0814e8913316484fbc669f88394a9a5",
"mtime": 1792058682.390061,
"ast_hash": "0085c0f9d7ed9105a918cc0253d6d238",
"semantic_hash": ""
},
"h5/test/water-copy.js": {
"mtime": 1792044368.3417633,
"ast_hash": "31ef3ff18bfb9014a35bcb5f2260af28",
"mtime": 1792064498.2456841,
"ast_hash": "7e235bde0f51e74b4c911ecb157ed5ed",
"semantic_hash": ""
},
"docs/\u6c34\u5206\u6587\u6848\u72ec\u7acb\u5206\u6863-2026-10-15.md": {
@@ -2195,8 +2195,8 @@
"semantic_hash": ""
},
"h5/test/care-selection.js": {
"mtime": 1792044368.3456743,
"ast_hash": "e84928b11825a219a691f721f1a0590a",
"mtime": 1792047749.1986089,
"ast_hash": "82fe6a6b3a04f9520648b7d6c6424f3d",
"semantic_hash": ""
},
"docs/\u4e03\u9879\u62a4\u7406\u9009\u4e09\u4e0e\u5173\u6ce8\u4f18\u5148-2026-10-15.md": {
@@ -2205,13 +2205,168 @@
"semantic_hash": ""
},
"h5/test/vita-independent.js": {
"mtime": 1792046293.397852,
"ast_hash": "563dfef2b579cf93aa248f1e49a20ed1",
"mtime": 1792064570.7705622,
"ast_hash": "72885089afbd4351c14fb47d97c650ae",
"semantic_hash": ""
},
"docs/\u900f\u4eae\u611f\u6539\u4e3a\u4e09\u9879\u72ec\u7acb\u6700\u4f4e\u5206-2026-10-15.md": {
"mtime": 1792046412.3041933,
"ast_hash": "48d0853b95e0b36ce79e3f2e3519826f",
"semantic_hash": ""
},
"h5/test/display-grade.js": {
"mtime": 1792148470.2383204,
"ast_hash": "ea3627208bb0545b926085a7daacc668",
"semantic_hash": ""
},
"docs/\u62a5\u544a\u6587\u6848\u6309\u5341\u5206\u5236\u5206\u6863-2026-10-15.md": {
"mtime": 1792052437.0090034,
"ast_hash": "39e6d98a95ee55d832e601851f03e90c",
"semantic_hash": ""
},
"h5/test/factual-copy.js": {
"mtime": 1792052385.3735242,
"ast_hash": "04a7bb0d5c58e7919eb9ef0626f47954",
"semantic_hash": ""
},
"h5/test/report-copy-cases.js": {
"mtime": 1792052385.2846854,
"ast_hash": "840047c867b82ed203dae3493147f613",
"semantic_hash": ""
},
"docs/\u62a5\u544a\u6587\u6848\u5b9e\u6d4b\u63cf\u8ff0\u4e0e\u65e7\u62a4\u7406\u517c\u5bb9\u590d\u6d4b-2026-10-15.md": {
"mtime": 1792052437.0051305,
"ast_hash": "2b5709c0f527e9cb3187bed2e6a12864",
"semantic_hash": ""
},
"docs/\u7ebf\u4e0a10\u4f8b\u62a5\u544a\u6587\u6848\u5bf9\u7167-2026-10-15.md": {
"mtime": 1792048486.081423,
"ast_hash": "0f935d92e8059deaadab2d86f5f2f333",
"semantic_hash": ""
},
"h5/test/fixtures/report-copy-before-two-fixes.cjs": {
"mtime": 1792052385.3271735,
"ast_hash": "ac8f1225149a88902b2b35476e1258f5",
"semantic_hash": ""
},
"docs/\u6587\u6848\u6700\u7ec8\u8303\u56f4-\u4ec5\u76b1\u7eb9\u4f18\u79c0\u4e0e\u75d8\u75d8\u68c0\u51fa-2026-10-15.md": {
"mtime": 1792055645.4742913,
"ast_hash": "cf11232413c36c4a299d092d37bb1804",
"semantic_hash": ""
},
"h5/test/contour-sides.mjs": {
"mtime": 1792066380.5569,
"ast_hash": "daccbed8eecef1089f061af539ae63c8",
"semantic_hash": ""
},
"h5/lib/wrinkle-views.js": {
"mtime": 1792058493.3015623,
"ast_hash": "5066fa726b330eb7e9658c5b741ab0d8",
"semantic_hash": ""
},
"h5/test/wrinkle-three-views.mjs": {
"mtime": 1792066380.5569,
"ast_hash": "39946726ecf37cb72652584f1d71811d",
"semantic_hash": ""
},
"h5/test/wrinkle-views.js": {
"mtime": 1792058682.390061,
"ast_hash": "0a35c79c3613c5198d977cf22d99fdbc",
"semantic_hash": ""
},
"docs/\u76b1\u7eb9\u4e09\u89c6\u56fe\u6807\u6ce8\u8bf4\u660e-2026-10-15.md": {
"mtime": 1792068382.5214024,
"ast_hash": "ca11237b7151b01ca87bc10923a2527b",
"semantic_hash": ""
},
"h5/test/dimension-cap.js": {
"mtime": 1792066181.2678514,
"ast_hash": "a00ea81951025f34b39ca9f3b4248251",
"semantic_hash": ""
},
"h5/test/contour-eye-copy.js": {
"mtime": 1792119867.8840585,
"ast_hash": "085d40c6e51ae1ef8d65f41cd414ad1f",
"semantic_hash": ""
},
"h5/test/zoom-fill.js": {
"mtime": 1792068382.5214024,
"ast_hash": "eab466eedfa8a5f70ef71ca995e1be04",
"semantic_hash": ""
},
"h5/lib/capture-funnel.js": {
"mtime": 1792136431.3330622,
"ast_hash": "11c141449642273af76eb2827dcad349",
"semantic_hash": ""
},
"h5/test/capture-funnel-browser.mjs": {
"mtime": 1792136490.2513402,
"ast_hash": "e58be6c0acb89ed299db7abf526e9451",
"semantic_hash": ""
},
"h5/test/capture-funnel.js": {
"mtime": 1792136431.3368118,
"ast_hash": "8d14b4df58066e0aff67f24873925d00",
"semantic_hash": ""
},
"docs/\u62cd\u7167\u62a5\u544a\u8f6c\u5316\u7edf\u8ba1-2026-10-16.md": {
"mtime": 1792136431.3368118,
"ast_hash": "a6263a5842743851ebb245afd63d587e",
"semantic_hash": ""
},
"docs/\u62cd\u6444\u5149\u7ebf\u4ec5\u63d0\u793a-2026-10-16.md": {
"mtime": 1792137024.177549,
"ast_hash": "16047b931716f23d0477bf0ca9435e09",
"semantic_hash": ""
},
"h5/test/capture-no-recheck.js": {
"mtime": 1792137543.797617,
"ast_hash": "7c496103ec30686842f1d48a0155a0ba",
"semantic_hash": ""
},
"docs/\u53d6\u6d88\u62cd\u540e\u6821\u9a8c-2026-10-16.md": {
"mtime": 1792137543.797617,
"ast_hash": "736cc241f069b7b95b4735c3fb099c3b",
"semantic_hash": ""
},
"h5/test/scan-wait-timeout.js": {
"mtime": 1792137936.2202272,
"ast_hash": "96d24336d28d6a6e4491062d3c7d2501",
"semantic_hash": ""
},
"docs/\u626b\u63cf\u7b49\u5f8530\u79d2\u515c\u5e95-2026-10-16.md": {
"mtime": 1792138004.0861843,
"ast_hash": "578ea3c34745606239eda2476662d546",
"semantic_hash": ""
},
"h5/lib/wrinkle-jobs.js": {
"mtime": 1792139119.6377332,
"ast_hash": "635306bfa84bf6d8181f18742e260a44",
"semantic_hash": ""
},
"h5/test/wrinkle-async-browser.mjs": {
"mtime": 1792140157.130621,
"ast_hash": "8df41ff28959b6fb450f3629d6b1f826",
"semantic_hash": ""
},
"h5/test/wrinkle-jobs.js": {
"mtime": 1792139246.8972948,
"ast_hash": "6bc66a7cd09973e8bc99ed1d1b56414d",
"semantic_hash": ""
},
"docs/\u4fa7\u8138\u76b1\u7eb9\u6d6e\u5c42\u5f02\u6b65\u52a0\u8f7d-2026-10-16.md": {
"mtime": 1792140269.8649895,
"ast_hash": "8b08cc58ff8e2b9341ea7afa2ce71e59",
"semantic_hash": ""
},
"h5/test/display-age-recommendation.js": {
"mtime": 1792148364.4246356,
"ast_hash": "73c329016fafb4073c6c6418f9ac071a",
"semantic_hash": ""
},
"docs/\u4ea7\u54c1\u63a8\u8350\u6539\u7528\u5c55\u793a\u808c\u9f84-2026-10-16.md": {
"mtime": 1792148470.2383204,
"ast_hash": "505317dc4f33f2a9ce53d31e2de3851f",
"semantic_hash": ""
}
}