feat(h5): remember profile selections and add finger-following skin swipe

This commit is contained in:
xsl
2026-10-12 21:10:00 +08:00
parent c9352fe4ca
commit ce6dbc20d4
14 changed files with 2230 additions and 900 deletions
+16 -15
View File
@@ -4,9 +4,9 @@
"2": "app.js",
"3": "skin-score.js",
"4": "customer-feedback-second.js",
"5": "n",
"6": "extractFaceTensors",
"7": ".forwardInput",
"5": "f",
"6": "Box",
"7": "test/profile-store.js",
"8": "admin.js",
"9": "__awaiter",
"10": "wechat-browser.mjs",
@@ -42,7 +42,7 @@
"40": "第四轮反馈修改与验收",
"41": "NeuralNetwork",
"42": "layer_at",
"43": "normalize",
"43": "convLayer",
"44": "start-local.sh",
"45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
"46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
@@ -54,7 +54,7 @@
"52": "region-data.js",
"53": "护理建议(全量文本,按需求摘抄)",
"54": "UI 对齐 10.09 设计稿:调研与实施计划",
"55": "pn",
"55": "i",
"56": "report-ui.js",
"57": "regression.js",
"58": ".dispose",
@@ -65,19 +65,19 @@
"63": "e2e-browser.mjs",
"64": "account-client.js",
"65": "微信登录接入与公网部署说明",
"66": "FaceLandmarks68",
"66": "FaceLandmarks",
"67": "ui-20261009.mjs",
"68": "analyze-timeout.js",
"69": "misans/README.md",
"70": "extractConvParamsFactory",
"71": "extractAllFacesAndComputeResults",
"70": ".forwardInput",
"71": ".predictAgeAndGender",
"72": "build_report_copy.py",
"73": "camera-geometry.js",
"74": "report-copy.js",
"75": "prepare_h5_assets.py",
"76": ".toString",
"77": ".runAndExtendWithFaceDetections",
"78": "i",
"76": ".forwardInput",
"77": "extractFaceTensors",
"78": "n",
"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",
@@ -98,13 +98,14 @@
"96": "production-loop.mjs",
"97": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
"98": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
"99": "DetectSingleFaceLandmarksTask",
"100": "ComputeAllFaceDescriptorsTask",
"99": "PredictSingleFaceExpressionsTask",
"100": "age",
"101": "drawFaceExpressions",
"102": "TinyYolov2",
"102": ".detect",
"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": "ComputeSingleFaceDescriptorTask"
"107": "基础信息记忆与肤质拖动",
"108": "profile-interaction.mjs"
}
+1 -1
View File
@@ -1 +1 @@
{"0": "65cda48e6d2f67a3", "1": "cb6ea50bd4e4a5ca", "2": "b159712c832c558e", "3": "bcbfbc0b66f44357", "4": "56bf12952b0de42b", "5": "8e50b0e3c19c0a11", "6": "e154e5d8b03e5206", "7": "880a74c6d255e5cc", "8": "a689fcb62e7754af", "9": "63bb420d48d7a255", "10": "2b037735e1f5b0f6", "11": "4a490abd5e503318", "12": "aeca274694e158d2", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "b1a71a621511068d", "16": "95add6a975c0cb72", "17": "e042d7fe7351bcb9", "18": "f93d5d85e671fcee", "19": "39abb1eef19df707", "20": "aecf2fce44ba49c5", "21": "59485c317afc6c2b", "22": "512a2535c88c4284", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "041694c55d6f8a30", "27": "eab427ce9a5219e9", "28": "d3fab0fa540bd925", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "241be5abeab1da6f", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "5e546676ab96de03", "41": "d96493a5f110bd4c", "42": "916170b9f5d7346b", "43": "7986b9d5a423a3fc", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "cf2f2424bc00436f", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "82703230bd5ed1e1", "56": "9ee2ad45dc27851d", "57": "f2a40b5f1b29f669", "58": "803dac08b323abc2", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "0890ad2144e37304", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "74ae017de0ffd36b", "66": "b6d6154e2dd14637", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "af5864c4ac65160d", "71": "06e9a65e05e71d35", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "74310612e8e059f4", "77": "2ee521497bb8506a", "78": "5cb44ae4ec05213b", "79": "c6cfdfe181232ecc", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "200f25fbad7af8fb", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "85": "4bc370be8afd7db1", "86": "e858d75e995c92e5", "87": "e5fa7717989eda80", "88": "8b5ab5232cef3457", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "91": "83b0fd3b14363e4d", "92": "fced244d93677d90", "93": "8bd61518dd267641", "94": "713d04996c4627df", "95": "59c31f858c7b6970", "96": "4195478d5c528371", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54", "99": "23f1d406f6c779ae", "100": "3dd68cce72af5314", "101": "a0bc88eb14b70170", "102": "29790cf710874dd0", "103": "6ffbe07b521a061b", "104": "e114a7aebaaca2f1", "105": "0567be4dc8048b9c", "106": "8bc72c179793e1c2", "107": "7ac475ea9bc280f8"}
{"0": "200bd332d330e79e", "1": "cb6ea50bd4e4a5ca", "2": "86eae3fd1b848c2e", "3": "1f737ca8edb978f2", "4": "56bf12952b0de42b", "5": "06906d9c95022851", "6": "7cd2b329434ded47", "7": "03b56b13a08b5f83", "8": "a689fcb62e7754af", "9": "fce137e5717d2018", "10": "2b037735e1f5b0f6", "11": "4a490abd5e503318", "12": "aeca274694e158d2", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "2c0eaf406546159b", "16": "95add6a975c0cb72", "17": "e042d7fe7351bcb9", "18": "f93d5d85e671fcee", "19": "39abb1eef19df707", "20": "aecf2fce44ba49c5", "21": "02ac512b5e01b983", "22": "f2045a9940596eb3", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "8367cbe6ea2844bc", "27": "eab427ce9a5219e9", "28": "4f01dfb5cd033c39", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "241be5abeab1da6f", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "5e546676ab96de03", "41": "d96493a5f110bd4c", "42": "916170b9f5d7346b", "43": "4eaa3e8b9eed3bf1", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "cf2f2424bc00436f", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "af2dbb7480405e14", "56": "9ee2ad45dc27851d", "57": "f2a40b5f1b29f669", "58": "5a45b41665ef1112", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "94ead9feda213ac6", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "bdee3c4a37df52f8", "66": "7798792de7e51a25", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "e39b60658e2c785e", "71": "a2b13160223b5a98", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "880a74c6d255e5cc", "77": "2050a9da67ccfa24", "78": "9daf5044cb78b2d2", "79": "86f177bf0a7dd07c", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "200f25fbad7af8fb", "83": "1284897282eb47a3", "84": "2fb17901aa87e0e7", "85": "4bc370be8afd7db1", "86": "e858d75e995c92e5", "87": "e5fa7717989eda80", "88": "8b5ab5232cef3457", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "91": "83b0fd3b14363e4d", "92": "fced244d93677d90", "93": "8bd61518dd267641", "94": "713d04996c4627df", "95": "59c31f858c7b6970", "96": "4195478d5c528371", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54", "99": "cb5ac3401283c378", "100": "b234c5e4ac7f632d", "101": "a0bc88eb14b70170", "102": "8dc2ed447b742130", "103": "6ffbe07b521a061b", "104": "e114a7aebaaca2f1", "105": "0567be4dc8048b9c", "106": "8bc72c179793e1c2", "107": "d9c195d9ccdb137e", "108": "e0fc0a42e33bda91"}
+104 -83
View File
@@ -1,16 +1,16 @@
# Graph Report - juzi (2026-10-12)
## Corpus Check
- 93 files · ~4,889,148 words
- 97 files · ~4,891,452 words
- Verdict: corpus is large enough that graph structure adds value.
## Summary
- 1387 nodes · 2814 edges · 108 communities (82 shown, 26 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 189 edges (avg confidence: 0.54)
- 1420 nodes · 2864 edges · 109 communities (87 shown, 22 thin omitted)
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 199 edges (avg confidence: 0.55)
- Token cost: 0 input · 0 output
## Graph Freshness
- Built from commit: `3f165bf9`
- Built from commit: `c9352fe4`
- Run `git rev-parse HEAD` and compare to check if the graph is stale.
- Run `graphify update .` after code changes (no API cost).
@@ -20,9 +20,9 @@
- app.js
- skin-score.js
- customer-feedback-second.js
- n
- extractFaceTensors
- .forwardInput
- f
- Box
- test/profile-store.js
- admin.js
- __awaiter
- wechat-browser.mjs
@@ -56,7 +56,7 @@
- 第四轮反馈修改与验收
- NeuralNetwork
- layer_at
- normalize
- convLayer
- start-local.sh
- PredictAllAgeAndGenderWithFaceAlignmentTask
- PredictAllFaceExpressionsWithFaceAlignmentTask
@@ -66,7 +66,7 @@
- call_skinanalyze_3view.sh
- 护理建议(全量文本,按需求摘抄)
- UI 对齐 10.09 设计稿:调研与实施计划
- pn
- i
- report-ui.js
- regression.js
- .dispose
@@ -76,16 +76,16 @@
- e2e-browser.mjs
- account-client.js
- 微信登录接入与公网部署说明
- FaceLandmarks68
- FaceLandmarks
- ui-20261009.mjs
- analyze-timeout.js
- misans/README.md
- extractConvParamsFactory
- extractAllFacesAndComputeResults
- .forwardInput
- .predictAgeAndGender
- build_report_copy.py
- .toString
- .runAndExtendWithFaceDetections
- i
- .forwardInput
- extractFaceTensors
- n
- 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
@@ -105,13 +105,14 @@
- production-loop.mjs
- PredictSingleAgeAndGenderWithFaceAlignmentTask
- PredictSingleFaceExpressionsWithFaceAlignmentTask
- DetectSingleFaceLandmarksTask
- ComputeAllFaceDescriptorsTask
- PredictSingleFaceExpressionsTask
- age
- drawFaceExpressions
- TinyYolov2
- .detect
- 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
- ComputeSingleFaceDescriptorTask
- 基础信息记忆与肤质拖动
- profile-interaction.mjs
## God Nodes (most connected - your core abstractions)
1. `__awaiter()` - 59 edges
@@ -128,23 +129,23 @@
## Surprising Connections (you probably didn't know these)
- `actualLines()` --indirect_call--> `el()` [INFERRED]
h5/test/customer-feedback-third.mjs → h5/js/admin.js
- `browser()` --indirect_call--> `key()` [INFERRED]
h5/js/account-client.js → h5/js/profile-store.js
- `init()` --indirect_call--> `key()` [INFERRED]
h5/js/account-client.js → h5/js/profile-store.js
- `loadRecords()` --indirect_call--> `it()` [INFERRED]
h5/js/admin.js → h5/vendor/faceapi/face-api.js
- `bind()` --indirect_call--> `a()` [INFERRED]
h5/js/admin.js → h5/vendor/faceapi/face-api.js
- `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
## Import Cycles
- None detected.
## Communities (108 total, 26 thin omitted)
## Communities (109 total, 22 thin omitted)
### Community 0 - "face-api.js"
Cohesion: 0.02
Nodes (51): bgrToRgbTensor(), cn(), computeReshapedDimensions(), createBrowserEnv(), createFaceDetectionNet(), createSsdMobilenetv1(), Dimensions(), dr() (+43 more)
Nodes (39): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), Dimensions(), dr(), en() (+31 more)
### Community 1 - "线上闭环测试(不含真实微信授权)"
Cohesion: 0.25
@@ -152,35 +153,35 @@ Nodes (7): 发现并修复, 可复现命令, 已通过的检查, 线上闭环测
### Community 2 - "app.js"
Cohesion: 0.05
Nodes (85): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyWithFlow(), captureFromVideo(), captureHaptic(), checkStill() (+77 more)
Nodes (90): applyMirror(), armNudge(), beginDetect(), bindBackdropClose(), busyWithFlow(), cancelSkinDrag(), captureFromVideo(), captureHaptic() (+82 more)
### Community 3 - "skin-score.js"
Cohesion: 0.11
Cohesion: 0.12
Nodes (45): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+37 more)
### Community 4 - "customer-feedback-second.js"
Cohesion: 0.17
Nodes (10): assert, context, face, fs, geometry, original, path, source (+2 more)
### Community 5 - "n"
### Community 5 - "f"
Cohesion: 0.12
Nodes (43): a(), ae(), ba(), bf(), cf(), d(), da(), drawContour() (+35 more)
Nodes (36): a(), b(), ba(), cf(), d(), da(), drawContour(), dt() (+28 more)
### Community 6 - "extractFaceTensors"
Cohesion: 0.16
Nodes (5): Box(), extendWithFaceLandmarks(), extractFaceTensors(), FaceLandmarks(), minBbox()
### Community 6 - "Box"
Cohesion: 0.11
Nodes (5): Box(), ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), ObjectDetection()
### Community 7 - ".forwardInput"
Cohesion: 0.22
Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 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: 0.20
Nodes (29): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+21 more)
### Community 9 - "__awaiter"
Cohesion: 0.12
Nodes (14): __awaiter(), bufferToImage(), ComposableTask(), extendWithFaceExpressions(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow() (+6 more)
Cohesion: 0.13
Nodes (13): __awaiter(), ComposableTask(), extractSingleFaceAndComputeResult(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator() (+5 more)
### Community 10 - "wechat-browser.mjs"
Cohesion: 0.22
@@ -199,8 +200,8 @@ Cohesion: 0.12
Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)
### Community 15 - "extractFaces"
Cohesion: 0.24
Nodes (15): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv(), getMediaDimensions() (+7 more)
Cohesion: 0.19
Nodes (18): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+10 more)
### Community 16 - "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范"
Cohesion: 0.15
@@ -223,8 +224,8 @@ Cohesion: 0.40
Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)
### Community 21 - "disposeUnusedWeightTensors"
Cohesion: 0.10
Nodes (24): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+16 more)
Cohesion: 0.08
Nodes (25): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+17 more)
### Community 23 - "facepp-skinanalyze(旷视皮肤分析专业版调用技能)"
Cohesion: 0.20
@@ -239,16 +240,16 @@ Cohesion: 0.20
Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)
### Community 26 - ".extractWeights"
Cohesion: 0.14
Nodes (14): createFaceRecognitionNet(), createMtcnn(), createTinyFaceDetector(), createTinyYolov2(), extractFCParamsFactory(), extractorsFactory$2(), extractorsFactory$4(), extractorsFactory$8() (+6 more)
Cohesion: 0.09
Nodes (24): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+16 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 - "C"
Cohesion: 0.09
Nodes (36): ao(), Bo(), C(), cd(), cl(), co(), Do(), e() (+28 more)
Cohesion: 0.08
Nodes (35): ao(), Bo(), C(), cd(), cl(), co(), Do(), eo() (+27 more)
### Community 29 - "face-api.js 本地化依赖(h5/vendor/faceapi/)"
Cohesion: 0.29
@@ -282,9 +283,9 @@ Nodes (8): PSD 来源, 前端参数及限制, 后台校准留痕, 已确认并
Cohesion: 0.18
Nodes (11): list, bounds(), layer_at(), main(), save_image(), composite(), main(), sha256() (+3 more)
### Community 43 - "normalize"
Cohesion: 0.07
Nodes (28): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+20 more)
### Community 43 - "convLayer"
Cohesion: 0.23
Nodes (11): convLayer(), convWithBatchNorm(), depthwiseSeparableConv$1(), fullyConnectedLayer(), leaky(), ONet(), PNet(), prelu() (+3 more)
### Community 44 - "start-local.sh"
Cohesion: 0.50
@@ -306,9 +307,9 @@ Nodes (19): 5\.1 轮廓(紧塑力), 5\.2 皱纹(紧塑力), 5\.3 肤色
Cohesion: 0.11
Nodes (17): 1. 结论和依据, 2. 统一比较口径, 3. 逐页差异和调整内容, 4. 报告数据如何接到新 UI, 5. 登录与“我的报告”的真实能力缺口, 6. 原稿中需要整理的内容, 7. 实施顺序与交付物, 8. 验收定义 (+9 more)
### Community 55 - "pn"
Cohesion: 0.25
Nodes (8): bn(), fn(), ln(), pd(), pn(), un(), wn(), xn()
### Community 55 - "i"
Cohesion: 0.09
Nodes (26): bn(), ca(), dn(), ee(), et(), fa(), fn(), i() (+18 more)
### Community 56 - "report-ui.js"
Cohesion: 0.50
@@ -319,8 +320,12 @@ Cohesion: 0.60
Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
### Community 58 - ".dispose"
Cohesion: 0.15
Nodes (9): FaceRecognitionNet(), NetInput(), nonMaxSuppression(), scale(), SsdMobilenetv1(), stage1(), stage2(), stage3() (+1 more)
Cohesion: 0.12
Nodes (13): bgrToRgbTensor(), DetectSingleFaceLandmarksTask(), extendWithFaceLandmarks(), extractBoundingBoxes(), FaceRecognitionNet(), getSizesForScale(), nonMaxSuppression(), normalize$1() (+5 more)
### Community 61 - "FaceProcessor"
Cohesion: 0.22
Nodes (3): extractParams$1(), FaceLandmark68TinyNet(), FaceProcessor()
### Community 62 - "提交前 Review(2026-10-11)"
Cohesion: 0.40
@@ -335,39 +340,39 @@ Cohesion: 0.80
Nodes (5): browser(), init(), read(), rememberKind(), request()
### Community 65 - "微信登录接入与公网部署说明"
Cohesion: 0.22
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 - "FaceLandmarks68"
Cohesion: 0.10
Nodes (8): FaceLandmark68NetBase(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), Point(), pt(), vt(), wl()
### Community 66 - "FaceLandmarks"
Cohesion: 0.06
Nodes (16): conv(), denseBlock3(), denseBlock4(), depthwiseSeparableConv(), FaceFeatureExtractor(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5() (+8 more)
### Community 68 - "analyze-timeout.js"
Cohesion: 0.20
Nodes (7): assert, end, fs, path, source, start, vm
### Community 70 - "extractConvParamsFactory"
Cohesion: 0.20
Nodes (9): extractConvParamsFactory(), extractorsFactory(), extractorsFactory$1(), extractorsFactory$6(), extractParams(), extractParams$2(), extractParams$6(), extractParamsTiny() (+1 more)
### Community 70 - ".forwardInput"
Cohesion: 0.39
Nodes (7): conv$1(), convDown(), convLayer$1(), convNoRelu(), residual(), residualDown(), __spreadArrays()
### Community 71 - "extractAllFacesAndComputeResults"
Cohesion: 0.29
Nodes (5): extendWithAge(), extendWithFaceDescriptor(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult()
### Community 71 - ".predictAgeAndGender"
Cohesion: 0.28
Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
### Community 76 - ".toString"
Cohesion: 0.33
Nodes (5): createFileSystem(), createNodejsEnv(), FaceMatch(), la(), pr()
### Community 76 - ".forwardInput"
Cohesion: 0.22
Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
### Community 77 - ".runAndExtendWithFaceDetections"
Cohesion: 0.18
Nodes (8): DetectAllFacesTask(), DrawBox(), drawDetections(), DrawFaceLandmarks(), extendWithFaceDetection(), isWithFaceDetection(), isWithFaceLandmarks(), resizeResults()
### Community 77 - "extractFaceTensors"
Cohesion: 0.12
Nodes (13): DetectAllFacesTask(), DrawBox(), drawDetections(), DrawFaceLandmarks(), extendWithFaceDetection(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractFaceTensors() (+5 more)
### Community 78 - "i"
Cohesion: 0.06
Nodes (45): b(), be(), bi(), ca(), ce(), de(), dn(), ee() (+37 more)
### Community 78 - "n"
Cohesion: 0.10
Nodes (39): ae(), be(), bf(), bi(), ce(), de(), e(), Ef() (+31 more)
### Community 79 - "登录反馈与加载优化(2026-10-12)"
Cohesion: 0.25
Cohesion: 0.33
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
### Community 80 - "线上微信登录部署记录"
@@ -387,7 +392,7 @@ Cohesion: 0.29
Nodes (5): 10.09 新版 H5 实施与验收, 按确认项实现, 文档未定义部分的实施口径, 素材再生成, 验证命令
### Community 84 - "微信登录联调:2026-10-12"
Cohesion: 0.33
Cohesion: 0.22
Nodes (6): 后续真机确认与体验优化, 微信登录联调:2026-10-12, 本轮修正, 白名单与凭据, 真实微信验收与排查, 自动验证
### Community 85 - "test/accounts.js"
@@ -422,24 +427,40 @@ Nodes (5): 原稿与导出可追溯性, 已完成, 本地验证, 生产部署及
Cohesion: 0.50
Nodes (3): artifacts, errors, samples
### Community 100 - "age"
Cohesion: 0.43
Nodes (4): age(), clean(), create(), key()
### Community 101 - "drawFaceExpressions"
Cohesion: 0.50
Nodes (3): drawFaceExpressions(), FaceExpressions(), isWithFaceExpressions()
### Community 102 - ".detect"
Cohesion: 0.18
Nodes (5): iou(), NetInput(), nonMaxSuppression$1(), TinyYolov2(), TinyYolov2Base()
### Community 107 - "基础信息记忆与肤质拖动"
Cohesion: 0.33
Nodes (4): 回归命令, 基础信息记忆与肤质拖动, 肤质交互, 范围
### Community 108 - "profile-interaction.mjs"
Cohesion: 0.40
Nodes (3): dragBy(), h5, touch()
## Knowledge Gaps
- **288 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+283 more)
- **305 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+300 more)
These have ≤1 connection - possible missing edges or undocumented components.
- **26 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
- **22 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 `v()` connect `n` to `report-ui.js`, `face-api.js`, `app.js`, `C`?**
_High betweenness centrality (0.068) - this node is a cross-community bridge._
- **Why does `k()` connect `n` to `face-api.js`, `app.js`, `lib/accounts.js`, `i`, `C`?**
_High betweenness centrality (0.062) - this node is a cross-community bridge._
- **Why does `fill()` connect `report-ui.js` to `n`?**
_High betweenness centrality (0.054) - this node is a cross-community bridge._
- **Why does `v()` connect `f` to `report-ui.js`, `face-api.js`, `app.js`, `C`?**
_High betweenness centrality (0.059) - this node is a cross-community bridge._
- **Why does `fill()` connect `report-ui.js` to `f`?**
_High betweenness centrality (0.047) - this node is a cross-community bridge._
- **Why does `k()` connect `f` to `face-api.js`, `app.js`, `lib/accounts.js`, `n`, `i`, `C`?**
_High betweenness centrality (0.042) - 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?**
@@ -447,4 +468,4 @@ _Questions this graph is uniquely positioned to answer:_
- **Are the 9 inferred relationships involving `i()` (e.g. with `da()` and `f()`) actually correct?**
_`i()` has 9 INFERRED edges - model-reasoned connections that need verification._
- **What connects `source`, `document_size`, `pages` to the rest of the system?**
_288 weakly-connected nodes found - possible documentation gaps or missing edges._
_305 weakly-connected nodes found - possible documentation gaps or missing edges._
File diff suppressed because one or more lines are too long
+1703 -759
View File
File diff suppressed because it is too large Load Diff
+28 -8
View File
@@ -40,8 +40,8 @@
"semantic_hash": ""
},
"h5/js/app.js": {
"mtime": 1791801437.4952922,
"ast_hash": "1a79141b30421384ebb80a7c7c383ba9",
"mtime": 1791810527.8429196,
"ast_hash": "d2cbf922e0f250d270cb3f6880fa5d73",
"semantic_hash": ""
},
"h5/js/head-pose.js": {
@@ -135,13 +135,13 @@
"semantic_hash": ""
},
"h5/README.md": {
"mtime": 1791809197.5909035,
"ast_hash": "4e597d6be915f6cd0b7fbd4bf34e5a96",
"mtime": 1791810413.4149451,
"ast_hash": "596d308e73a48f388c67d820e8e073d8",
"semantic_hash": ""
},
"h5/index.html": {
"mtime": 1791809137.1269257,
"ast_hash": "505ec38f7f2120e7d4d1b61eb8328097",
"mtime": 1791810016.13091,
"ast_hash": "454d692d26dc6ed624d5641784c8e61d",
"semantic_hash": ""
},
"h5/vendor/faceapi/README.md": {
@@ -1885,8 +1885,28 @@
"semantic_hash": ""
},
"docs/\u62cd\u6444\u7ea6\u675f\u653e\u5bbd\u4e0e\u6807\u9898\u66f4\u65b0-2026-10-12.md": {
"mtime": 1791809197.5949035,
"ast_hash": "62516ef04c3cba2f54e74c522d4e0b29",
"mtime": 1791809270.7869155,
"ast_hash": "caf913d143a498bff9ecc2cb373f40c4",
"semantic_hash": ""
},
"h5/js/profile-store.js": {
"mtime": 1791810317.830946,
"ast_hash": "5723356fa753e9a66fdee448e617390e",
"semantic_hash": ""
},
"h5/test/profile-interaction.mjs": {
"mtime": 1791810527.8429196,
"ast_hash": "7a370108ec4c922412fa0f278ab59f6a",
"semantic_hash": ""
},
"h5/test/profile-store.js": {
"mtime": 1791810317.8349462,
"ast_hash": "66a0e7d6ddc5eee9cd69c097257746d1",
"semantic_hash": ""
},
"docs/\u57fa\u7840\u4fe1\u606f\u8bb0\u5fc6\u4e0e\u80a4\u8d28\u62d6\u52a8-2026-10-12.md": {
"mtime": 1791810413.4149451,
"ast_hash": "6159880c092b531b465257eec590092a",
"semantic_hash": ""
}
}