From 67b6d86fce045219c9d616af553f257bb2301b95 Mon Sep 17 00:00:00 2001 From: xsl Date: Mon, 28 Sep 2026 09:05:25 +0800 Subject: [PATCH] =?UTF-8?q?chore:=20=E7=A7=BB=E9=99=A4=20graphify=20?= =?UTF-8?q?=E6=97=A5=E6=9C=9F=E5=BF=AB=E7=85=A7=E7=9B=AE=E5=BD=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 历史快照与根目录图重复,加入 ignore 防止再入库。 Co-authored-by: Cursor --- .gitignore | 3 +- graphify-out/2026-09-27/.graphify_labels.json | 63 - graphify-out/2026-09-27/GRAPH_REPORT.md | 284 - graphify-out/2026-09-27/graph.json | 34294 --------------- graphify-out/2026-09-27/manifest.json | 747 - graphify-out/2026-09-28/.graphify_labels.json | 74 - graphify-out/2026-09-28/GRAPH_REPORT.md | 299 - graphify-out/2026-09-28/graph.json | 35199 ---------------- graphify-out/2026-09-28/manifest.json | 812 - 9 files changed, 2 insertions(+), 71773 deletions(-) delete mode 100644 graphify-out/2026-09-27/.graphify_labels.json delete mode 100644 graphify-out/2026-09-27/GRAPH_REPORT.md delete mode 100644 graphify-out/2026-09-27/graph.json delete mode 100644 graphify-out/2026-09-27/manifest.json delete mode 100644 graphify-out/2026-09-28/.graphify_labels.json delete mode 100644 graphify-out/2026-09-28/GRAPH_REPORT.md delete mode 100644 graphify-out/2026-09-28/graph.json delete mode 100644 graphify-out/2026-09-28/manifest.json diff --git a/.gitignore b/.gitignore index 5c9a0fb..324ca03 100644 --- a/.gitignore +++ b/.gitignore @@ -14,7 +14,8 @@ aipkey.bash h5/data/ temp/ -# graphify 本地缓存(可重建,无需入库) +# graphify 本地缓存与日期快照(可重建,无需入库) graphify-out/cache/ +graphify-out/[0-9][0-9][0-9][0-9]-[0-9][0-9]-[0-9][0-9]/ graphify-out/.rebuild.lock graphify-out/..graph.tmp.* diff --git a/graphify-out/2026-09-27/.graphify_labels.json b/graphify-out/2026-09-27/.graphify_labels.json deleted file mode 100644 index 475d1af..0000000 --- a/graphify-out/2026-09-27/.graphify_labels.json +++ /dev/null @@ -1,63 +0,0 @@ -{ - "0": "face-api.js", - "1": "n", - "2": "app.js", - "3": "skin-score.js", - "4": "NeuralNetwork", - "5": ".toBatchTensor", - "6": "getEnv", - "7": "FaceLandmarks", - "8": "disposeUnusedWeightTensors", - "9": "__awaiter", - "10": ".dispose", - "11": "AgeGenderNet", - "12": "server.js", - "13": "files", - "14": "extractAllFacesAndComputeResults", - "15": ".runAndExtendWithFaceDetection", - "16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范", - "17": "extractFaces", - "18": "1'me 在线肌肤测试 H5", - "19": "head-pose.js", - "20": "build_fixtures.py", - "21": ".forwardInput", - "22": ".loadFromDisk", - "23": "facepp-skinanalyze(旷视皮肤分析专业版调用技能)", - "24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0", - "25": ".predictAgeAndGender", - "26": "wi", - "27": "to_mp3", - "28": "initialize", - "29": "face-api.js 本地化依赖(h5/vendor/faceapi/)", - "30": "regression.js", - "31": "isValidNumber", - "32": "FaceMatcher", - "33": "build-fixture.py", - "34": "smoke-test.js", - "35": "DetectSingleFaceLandmarksTask", - "36": "so", - "37": "tt", - "38": "TinyYolov2", - "39": "cn", - "40": "ComputeAllFaceDescriptorsTask", - "41": "ComputeSingleFaceDescriptorTask", - "42": "dr", - "43": "FaceLandmark68Net", - "44": "rescaleAndNormalize", - "45": "PredictAllAgeAndGenderWithFaceAlignmentTask", - "46": "PredictAllFaceExpressionsWithFaceAlignmentTask", - "47": "PredictSingleAgeAndGenderWithFaceAlignmentTask", - "48": "PredictSingleFaceExpressionsWithFaceAlignmentTask", - "49": "Yo", - "50": "call_skinanalyze_3view.sh", - "51": "Vc", - "52": "createSsdMobilenetv1", - "53": "FaceDetection", - "54": "ff", - "55": "ge", - "56": "sa", - "57": "po", - "58": "wn", - "59": "call_skinanalyze.sh", - "60": "report-fixture.js" -} diff --git a/graphify-out/2026-09-27/GRAPH_REPORT.md b/graphify-out/2026-09-27/GRAPH_REPORT.md deleted file mode 100644 index 905a42d..0000000 --- a/graphify-out/2026-09-27/GRAPH_REPORT.md +++ /dev/null @@ -1,284 +0,0 @@ -# Graph Report - juzi (2026-09-27) - -## Corpus Check -- 30 files · ~1,639,651 words -- Verdict: corpus is large enough that graph structure adds value. - -## Summary -- 872 nodes · 2061 edges · 61 communities (41 shown, 20 thin omitted) -- Extraction: 92% EXTRACTED · 8% INFERRED · 0% AMBIGUOUS · INFERRED: 166 edges (avg confidence: 0.52) -- Token cost: 0 input · 0 output - -## Graph Freshness -- Built from commit: `7d72d7dd` -- 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 -- n -- app.js -- skin-score.js -- NeuralNetwork -- .toBatchTensor -- getEnv -- FaceLandmarks -- disposeUnusedWeightTensors -- __awaiter -- .dispose -- AgeGenderNet -- server.js -- files -- extractAllFacesAndComputeResults -- .runAndExtendWithFaceDetection -- 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范 -- extractFaces -- 1'me 在线肌肤测试 H5 -- head-pose.js -- build_fixtures.py -- .forwardInput -- .loadFromDisk -- facepp-skinanalyze(旷视皮肤分析专业版调用技能) -- 巨子测肤 · 1'me 语音播报内容设计文档 V1.0 -- .predictAgeAndGender -- wi -- to_mp3 -- initialize -- face-api.js 本地化依赖(h5/vendor/faceapi/) -- regression.js -- isValidNumber -- FaceMatcher -- build-fixture.py -- DetectSingleFaceLandmarksTask -- so -- tt -- TinyYolov2 -- cn -- ComputeAllFaceDescriptorsTask -- ComputeSingleFaceDescriptorTask -- dr -- FaceLandmark68Net -- rescaleAndNormalize -- PredictAllAgeAndGenderWithFaceAlignmentTask -- PredictAllFaceExpressionsWithFaceAlignmentTask -- PredictSingleAgeAndGenderWithFaceAlignmentTask -- PredictSingleFaceExpressionsWithFaceAlignmentTask -- Yo -- call_skinanalyze_3view.sh -- Vc -- createSsdMobilenetv1 -- FaceDetection -- ff -- ge -- sa -- po -- wn -- call_skinanalyze.sh - -## God Nodes (most connected - your core abstractions) -1. `__awaiter()` - 59 edges -2. `__generator()` - 59 edges -3. `n()` - 36 edges -4. `t()` - 33 edges -5. `i()` - 33 edges -6. `r()` - 32 edges -7. `C()` - 32 edges -8. `toNetInput()` - 27 edges -9. `e()` - 22 edges -10. `f()` - 20 edges - -## Surprising Connections (you probably didn't know these) -- `detectFrame()` --indirect_call--> `d()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `h()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `rh()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `w()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `renderReport()` --indirect_call--> `t()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js - -## Import Cycles -- None detected. - -## Communities (61 total, 20 thin omitted) - -### Community 0 - "face-api.js" -Cohesion: 0.02 -Nodes (35): ca(), cd(), ce(), dn(), ee(), er(), et(), Ft() (+27 more) - -### Community 1 - "n" -Cohesion: 0.07 -Nodes (90): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+82 more) - -### Community 2 - "app.js" -Cohesion: 0.08 -Nodes (55): armNudge(), beginDetect(), bindBackdropClose(), cancelCountdown(), captureFromVideo(), cdTick(), closeOverlay(), detectFrame() (+47 more) - -### Community 3 - "skin-score.js" -Cohesion: 0.12 -Nodes (43): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+35 more) - -### Community 4 - "NeuralNetwork" -Cohesion: 0.07 -Nodes (26): createFaceRecognitionNet(), createMtcnn(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory(), extractorsFactory(), extractorsFactory$1() (+18 more) - -### Community 5 - ".toBatchTensor" -Cohesion: 0.08 -Nodes (29): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+21 more) - -### Community 6 - "getEnv" -Cohesion: 0.09 -Nodes (26): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions() (+18 more) - -### Community 7 - "FaceLandmarks" -Cohesion: 0.08 -Nodes (11): extendWithFaceLandmarks(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions(), minBbox() (+3 more) - -### Community 8 - "disposeUnusedWeightTensors" -Cohesion: 0.09 -Nodes (24): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+16 more) - -### Community 9 - "__awaiter" -Cohesion: 0.17 -Nodes (10): __awaiter(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), loadWeightMap(), Mtcnn() (+2 more) - -### Community 10 - ".dispose" -Cohesion: 0.16 -Nodes (13): computeReshapedDimensions(), extractBoundingBoxes(), iou(), isEven(), NetInput(), nonMaxSuppression(), nonMaxSuppression$1(), pyramidDown() (+5 more) - -### Community 11 - "AgeGenderNet" -Cohesion: 0.12 -Nodes (4): AgeGenderNet(), FaceExpressionNet(), FaceLandmark68TinyNet(), FaceProcessor() - -### Community 12 - "server.js" -Cohesion: 0.14 -Nodes (16): callFacepp(), CRED, DATA_DIR, ERR_MSG, fs, handleAnalyze(), http, isUsableB64() (+8 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 - "extractAllFacesAndComputeResults" -Cohesion: 0.16 -Nodes (7): extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), PredictAllFaceExpressionsTask(), PredictSingleFaceExpressionsTask() - -### Community 15 - ".runAndExtendWithFaceDetection" -Cohesion: 0.23 -Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask() - -### 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: 0.22 -Nodes (6): Box(), extractFaces(), extractFaceTensors(), imageTensorToCanvas(), isTensor3D(), isTensor4D() - -### Community 18 - "1'me 在线肌肤测试 H5" -Cohesion: 0.18 -Nodes (10): 1'me 在线肌肤测试 H5, Windows 本机部署(提测用), 密钥配置, 已知占位清单, 技术说明, 拍照交互(引导式自动三连拍), 本地运行, 检测流程与评分渲染 (+2 more) - -### Community 19 - "head-pose.js" -Cohesion: 0.33 -Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(), makeSide(), midpoint() - -### Community 20 - "build_fixtures.py" -Cohesion: 0.40 -Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more) - -### Community 21 - ".forwardInput" -Cohesion: 0.22 -Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more) - -### Community 22 - ".loadFromDisk" -Cohesion: 0.22 -Nodes (4): ComposableTask(), getModelUris(), Gf(), TinyFaceDetector() - -### Community 23 - "facepp-skinanalyze(旷视皮肤分析专业版调用技能)" -Cohesion: 0.20 -Nodes (9): 1. 凭据(统一管理), 2. 标准调用模板(全可选参数,每次都带), 2b. 三视图调用模板(正脸 + 双侧脸 → 下颌线), 3.1 本轮踩过的坑(务必避复), 3. 三维度 × 6 分类 P/S 计算(2026-09-26 生效,取代旧六维), 4. 产品分组公式, 5. Excel 报告铁律(必须遵守), 6. 其他 Agent 调用约定 (+1 more) - -### Community 24 - "巨子测肤 · 1'me 语音播报内容设计文档 V1.0" -Cohesion: 0.22 -Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策略(前端已实现侧约定), 4. 生成验收, A. 步骤引导(进入每个拍照步骤时播,与屏幕步骤文案一致), B. 姿态提示(实时检测不通过时播,同一提示 4 秒内不重复), C. 拍摄与流程, 巨子测肤 · 1'me 语音播报内容设计文档 V1.0 - -### Community 25 - ".predictAgeAndGender" -Cohesion: 0.28 -Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask() - -### Community 26 - "wi" -Cohesion: 0.28 -Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more) - -### Community 27 - "to_mp3" -Cohesion: 0.32 -Nodes (7): ndarray, Path, main(), 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。, to_mp3(), trim_edges() - -### Community 28 - "initialize" -Cohesion: 0.29 -Nodes (7): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), monkeyPatch(), setEnv() - -### Community 29 - "face-api.js 本地化依赖(h5/vendor/faceapi/)" -Cohesion: 0.29 -Nodes (6): face-api.js 本地化依赖(h5/vendor/faceapi/), 为什么本地化, 文件清单与体积, 来源与版本, 用法, 许可证 - -### Community 30 - "regression.js" -Cohesion: 0.60 -Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr() - -### Community 31 - "isValidNumber" -Cohesion: 0.33 -Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender() - -### 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 - "so" -Cohesion: 0.50 -Nodes (4): Do(), io(), so(), To() - -### Community 37 - "tt" -Cohesion: 0.50 -Nodes (4): kn(), tt(), wo(), z() - -### Community 39 - "cn" -Cohesion: 0.67 -Nodes (3): cn(), en(), yn() - -### Community 42 - "dr" -Cohesion: 0.67 -Nodes (3): dr(), na(), ta() - -### Community 44 - "rescaleAndNormalize" -Cohesion: 0.67 -Nodes (3): getSizesForScale(), normalize$1(), rescaleAndNormalize() - -### Community 49 - "Yo" -Cohesion: 0.67 -Nodes (3): qo(), Xo(), Yo() - -## Knowledge Gaps -- **59 isolated node(s):** `step1-front`, `step2-rightface`, `step3-leftface`, `hint-noface`, `hint-near` (+54 more) - These have ≤1 connection - possible missing edges or undocumented components. -- **20 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 `val()` connect `skin-score.js` to `extractFaces`?** - _High betweenness centrality (0.085) - this node is a cross-community bridge._ -- **Why does `Box()` connect `extractFaces` to `face-api.js`, `.dispose`, `isValidNumber`, `FaceLandmarks`?** - _High betweenness centrality (0.059) - this node is a cross-community bridge._ -- **Why does `vizCompose()` connect `app.js` to `n`?** - _High betweenness centrality (0.046) - this node is a cross-community bridge._ -- **Are the 23 inferred relationships involving `n()` (e.g. with `ae()` and `be()`) actually correct?** - _`n()` has 23 INFERRED edges - model-reasoned connections that need verification._ -- **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._ -- **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 `step1-front`, `step2-rightface`, `step3-leftface` to the rest of the system?** - _59 weakly-connected nodes found - possible documentation gaps or missing edges._ \ No newline at end of file diff --git a/graphify-out/2026-09-27/graph.json b/graphify-out/2026-09-27/graph.json deleted file mode 100644 index 575c07c..0000000 --- a/graphify-out/2026-09-27/graph.json +++ /dev/null @@ -1,34294 +0,0 @@ -{ - "directed": false, - "multigraph": false, - "graph": {}, - "nodes": [ - { - "label": "build-fixture.py", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_build_fixture", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "build-fixture.py" - }, - { - "label": "to_data_url()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L23", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_to_data_url", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "to_data_url()" - }, - { - "label": "scale_coords()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L34", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_scale_coords", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "scale_coords()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L55", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_main", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "main()" - }, - { - "label": "\u9012\u5f52\u7f29\u653e result \u5185\u5168\u90e8\u5750\u6807:{left,top,width,height} \u77e9\u5f62\u4e0e {x,y} \u70b9,\u4e0e\u539f\u6570\u636e\u540c\u4e3a\u6574\u6570\u3002", - "file_type": "rationale", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L35", - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_rationale_35", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "\u9012\u5f52\u7f29\u653e result \u5185\u5168\u90e8\u5750\u6807:{left,top,width,height} \u77e9\u5f62\u4e0e {x,y} \u70b9,\u4e0e\u539f\u6570\u636e\u540c\u4e3a\u6574\u6570\u3002" - }, - { - "label": "report-fixture.js", - "file_type": "code", - "source_file": "h5/assets/mock/report-fixture.js", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_report_fixture", - "community": 60, - "community_name": "report-fixture.js", - "norm_label": "report-fixture.js" - }, - { - "label": "smoke-test.js", - "file_type": "code", - "source_file": "h5/assets/mock/smoke-test.js", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_smoke_test", - "community": 34, - "community_name": "smoke-test.js", - "norm_label": "smoke-test.js" - 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"22": ".loadFromDisk", - "23": "facepp-skinanalyze(旷视皮肤分析专业版调用技能)", - "24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0", - "25": "Box", - "26": "wi", - "27": "gen_voice.py", - "28": "initialize", - "29": "face-api.js 本地化依赖(h5/vendor/faceapi/)", - "30": "regression.js", - "31": "isValidNumber", - "32": "FaceMatcher", - "33": "build-fixture.py", - "34": "smoke-test.js", - "35": "DetectSingleFaceLandmarksTask", - "36": "ao", - "37": "tt", - "38": "TinyYolov2", - "39": "cn", - "40": "ComputeAllFaceDescriptorsTask", - "41": "ComputeSingleFaceDescriptorTask", - "42": "dr", - "43": "FaceLandmark68Net", - "44": "rescaleAndNormalize", - "45": "PredictAllAgeAndGenderWithFaceAlignmentTask", - "46": "PredictAllFaceExpressionsWithFaceAlignmentTask", - "47": "PredictSingleAgeAndGenderWithFaceAlignmentTask", - "48": "PredictSingleFaceExpressionsWithFaceAlignmentTask", - "49": "Yo", - "50": "call_skinanalyze_3view.sh", - "51": ".draw", - "52": "createSsdMobilenetv1", - "53": "FaceDetection", - "54": "ff", - "55": "ge", - "56": "sa", - "57": "po", - "58": ".dispose", - "59": "call_skinanalyze.sh", - "60": "report-fixture.js", - "61": "extractWeightsFactory", - "62": "NeuralNetwork", - "63": "e2e-browser.mjs", - "64": "AgeGenderNet", - "65": "extractParams$4", - "66": "FaceExpressionNet", - "67": "extractParams$5", - "68": "PredictAllAgeAndGenderTask", - "69": "PredictAllFaceExpressionsTask", - "70": "PredictSingleAgeAndGenderTask", - "71": "PredictSingleFaceExpressionsTask" -} diff --git a/graphify-out/2026-09-28/GRAPH_REPORT.md b/graphify-out/2026-09-28/GRAPH_REPORT.md deleted file mode 100644 index 9416f11..0000000 --- a/graphify-out/2026-09-28/GRAPH_REPORT.md +++ /dev/null @@ -1,299 +0,0 @@ -# Graph Report - juzi (2026-09-28) - -## Corpus Check -- 31 files · ~1,845,525 words -- Verdict: corpus is large enough that graph structure adds value. - -## Summary -- 898 nodes · 2113 edges · 72 communities (42 shown, 30 thin omitted) -- Extraction: 92% EXTRACTED · 8% INFERRED · 0% AMBIGUOUS · INFERRED: 168 edges (avg confidence: 0.52) -- Token cost: 0 input · 0 output - -## Graph Freshness -- Built from commit: `4e3d915b` -- 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 -- n -- app.js -- skin-score.js -- .extractWeights -- normalize -- .runAndExtendWithFaceDetections -- FaceLandmarks -- disposeUnusedWeightTensors -- __awaiter -- iou -- FaceProcessor -- server.js -- files -- extractAllFacesAndComputeResults -- .run -- 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范 -- extractFaces -- 1'me 在线肌肤测试 H5 -- head-pose.js -- build_fixtures.py -- .forwardInput -- .loadFromDisk -- facepp-skinanalyze(旷视皮肤分析专业版调用技能) -- 巨子测肤 · 1'me 语音播报内容设计文档 V1.0 -- Box -- wi -- gen_voice.py -- initialize -- face-api.js 本地化依赖(h5/vendor/faceapi/) -- regression.js -- isValidNumber -- FaceMatcher -- build-fixture.py -- DetectSingleFaceLandmarksTask -- ao -- tt -- TinyYolov2 -- cn -- ComputeAllFaceDescriptorsTask -- ComputeSingleFaceDescriptorTask -- dr -- FaceLandmark68Net -- rescaleAndNormalize -- PredictAllAgeAndGenderWithFaceAlignmentTask -- PredictAllFaceExpressionsWithFaceAlignmentTask -- PredictSingleAgeAndGenderWithFaceAlignmentTask -- PredictSingleFaceExpressionsWithFaceAlignmentTask -- Yo -- call_skinanalyze_3view.sh -- .draw -- createSsdMobilenetv1 -- FaceDetection -- ff -- ge -- sa -- po -- .dispose -- call_skinanalyze.sh -- extractWeightsFactory -- NeuralNetwork -- e2e-browser.mjs -- AgeGenderNet -- extractParams$4 -- FaceExpressionNet -- extractParams$5 -- PredictAllAgeAndGenderTask -- PredictAllFaceExpressionsTask -- PredictSingleAgeAndGenderTask -- PredictSingleFaceExpressionsTask - -## God Nodes (most connected - your core abstractions) -1. `__awaiter()` - 59 edges -2. `__generator()` - 59 edges -3. `n()` - 36 edges -4. `t()` - 33 edges -5. `i()` - 33 edges -6. `r()` - 32 edges -7. `C()` - 32 edges -8. `toNetInput()` - 27 edges -9. `e()` - 22 edges -10. `f()` - 20 edges - -## Surprising Connections (you probably didn't know these) -- `detectFrame()` --indirect_call--> `d()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `h()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `rh()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `vizCompose()` --indirect_call--> `w()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js -- `renderReport()` --indirect_call--> `t()` [INFERRED] - h5/js/app.js → h5/vendor/faceapi/face-api.js - -## Import Cycles -- None detected. - -## Communities (72 total, 30 thin omitted) - -### Community 0 - "face-api.js" -Cohesion: 0.02 -Nodes (38): ca(), ce(), computeReshapedDimensions(), dn(), ee(), er(), et(), FaceMatch() (+30 more) - -### Community 1 - "n" -Cohesion: 0.06 -Nodes (94): a(), ae(), b(), ba(), be(), bf(), bi(), bn() (+86 more) - -### Community 2 - "app.js" -Cohesion: 0.07 -Nodes (69): afterCurrent(), armNudge(), beginCountdown(), beginDetect(), bindBackdropClose(), busyWithFlow(), cancelCountdown(), captureFromVideo() (+61 more) - -### Community 3 - "skin-score.js" -Cohesion: 0.12 -Nodes (44): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+36 more) - -### Community 4 - ".extractWeights" -Cohesion: 0.20 -Nodes (8): createFaceRecognitionNet(), createMtcnn(), createTinyFaceDetector(), createTinyYolov2(), extractFCParamsFactory(), extractorsFactory$8(), extractParams$3(), extractParams$7() - -### Community 5 - "normalize" -Cohesion: 0.07 -Nodes (29): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+21 more) - -### Community 6 - ".runAndExtendWithFaceDetections" -Cohesion: 0.15 -Nodes (11): DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), extendWithFaceDetection(), FaceExpressions(), isWithFaceDetection() (+3 more) - -### Community 7 - "FaceLandmarks" -Cohesion: 0.07 -Nodes (13): extendWithFaceLandmarks(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions(), minBbox() (+5 more) - -### Community 8 - "disposeUnusedWeightTensors" -Cohesion: 0.10 -Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more) - -### Community 9 - "__awaiter" -Cohesion: 0.18 -Nodes (10): __awaiter(), bufferToImage(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), loadWeightMap() (+2 more) - -### Community 11 - "FaceProcessor" -Cohesion: 0.22 -Nodes (3): extractParams$1(), FaceLandmark68TinyNet(), FaceProcessor() - -### Community 12 - "server.js" -Cohesion: 0.14 -Nodes (16): callFacepp(), CRED, DATA_DIR, ERR_MSG, fs, handleAnalyze(), http, isUsableB64() (+8 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 - "extractAllFacesAndComputeResults" -Cohesion: 0.21 -Nodes (6): extendWithAge(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult() - -### Community 15 - ".run" -Cohesion: 0.21 -Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask() - -### 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: 0.18 -Nodes (18): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractFaceTensors(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+10 more) - -### Community 18 - "1'me 在线肌肤测试 H5" -Cohesion: 0.18 -Nodes (10): 1'me 在线肌肤测试 H5, Windows 本机部署(提测用), 密钥配置, 已知占位清单, 技术说明, 拍照交互(引导式自动三连拍), 本地运行, 检测流程与评分渲染 (+2 more) - -### Community 19 - "head-pose.js" -Cohesion: 0.33 -Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(), makeSide(), midpoint() - -### Community 20 - "build_fixtures.py" -Cohesion: 0.40 -Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more) - -### Community 21 - ".forwardInput" -Cohesion: 0.22 -Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more) - -### Community 22 - ".loadFromDisk" -Cohesion: 0.25 -Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector() - -### Community 23 - "facepp-skinanalyze(旷视皮肤分析专业版调用技能)" -Cohesion: 0.20 -Nodes (9): 1. 凭据(统一管理), 2. 标准调用模板(全可选参数,每次都带), 2b. 三视图调用模板(正脸 + 双侧脸 → 下颌线), 3.1 本轮踩过的坑(务必避复), 3. 三维度 × 6 分类 P/S 计算(2026-09-26 生效,取代旧六维), 4. 产品分组公式, 5. Excel 报告铁律(必须遵守), 6. 其他 Agent 调用约定 (+1 more) - -### Community 24 - "巨子测肤 · 1'me 语音播报内容设计文档 V1.0" -Cohesion: 0.22 -Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策略(前端已实现侧约定), 4. 生成验收, A. 步骤引导(进入每个拍照步骤时播,与屏幕步骤文案一致), B. 姿态提示(实时检测不通过时播,同一提示 4 秒内不重复), C. 拍摄与流程, 巨子测肤 · 1'me 语音播报内容设计文档 V1.0 - -### Community 26 - "wi" -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 - "initialize" -Cohesion: 0.22 -Nodes (9): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), isNodejs(), monkeyPatch(), resolveInput() (+1 more) - -### Community 29 - "face-api.js 本地化依赖(h5/vendor/faceapi/)" -Cohesion: 0.29 -Nodes (6): face-api.js 本地化依赖(h5/vendor/faceapi/), 为什么本地化, 文件清单与体积, 来源与版本, 用法, 许可证 - -### Community 30 - "regression.js" -Cohesion: 0.60 -Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr() - -### Community 31 - "isValidNumber" -Cohesion: 0.33 -Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender() - -### 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 - "ao" -Cohesion: 0.40 -Nodes (5): ao(), Do(), io(), so(), To() - -### Community 37 - "tt" -Cohesion: 0.50 -Nodes (4): kn(), tt(), wo(), z() - -### Community 39 - "cn" -Cohesion: 0.67 -Nodes (3): cn(), en(), yn() - -### Community 42 - "dr" -Cohesion: 0.50 -Nodes (4): dr(), na(), nt(), ta() - -### Community 44 - "rescaleAndNormalize" -Cohesion: 0.67 -Nodes (3): getSizesForScale(), normalize$1(), rescaleAndNormalize() - -### Community 49 - "Yo" -Cohesion: 0.67 -Nodes (3): qo(), Xo(), Yo() - -### Community 58 - ".dispose" -Cohesion: 0.20 -Nodes (8): extractBoundingBoxes(), nonMaxSuppression(), scale(), SsdMobilenetv1(), stage1(), stage2(), stage3(), TinyYolov2Base() - -### Community 61 - "extractWeightsFactory" -Cohesion: 0.22 -Nodes (10): extractConvParamsFactory(), extractorsFactory(), extractorsFactory$1(), extractorsFactory$6(), extractParams(), extractParams$2(), extractParams$6(), extractParamsTiny() (+2 more) - -### Community 63 - "e2e-browser.mjs" -Cohesion: 0.29 -Nodes (4): EXPECTED, fails, pageErrors, pwRoot - -## Knowledge Gaps -- **63 isolated node(s):** `step1-front`, `step2-leftface`, `step3-rightface`, `hint-noface`, `hint-near` (+58 more) - These have ≤1 connection - possible missing edges or undocumented components. -- **30 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 `val()` connect `skin-score.js` to `Box`?** - _High betweenness centrality (0.083) - this node is a cross-community bridge._ -- **Why does `Box()` connect `Box` to `face-api.js`, `isValidNumber`, `FaceLandmarks`?** - _High betweenness centrality (0.058) - this node is a cross-community bridge._ -- **Why does `vizCompose()` connect `app.js` to `n`?** - _High betweenness centrality (0.057) - this node is a cross-community bridge._ -- **Are the 23 inferred relationships involving `n()` (e.g. with `ae()` and `be()`) actually correct?** - _`n()` has 23 INFERRED edges - model-reasoned connections that need verification._ -- **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._ -- **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 `step1-front`, `step2-leftface`, `step3-rightface` to the rest of the system?** - _63 weakly-connected nodes found - possible documentation gaps or missing edges._ \ No newline at end of file diff --git a/graphify-out/2026-09-28/graph.json b/graphify-out/2026-09-28/graph.json deleted file mode 100644 index db76034..0000000 --- a/graphify-out/2026-09-28/graph.json +++ /dev/null @@ -1,35199 +0,0 @@ -{ - "directed": false, - "multigraph": false, - "graph": {}, - "nodes": [ - { - "label": "build-fixture.py", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_build_fixture", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "build-fixture.py" - }, - { - "label": "to_data_url()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L23", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_to_data_url", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "to_data_url()" - }, - { - "label": "scale_coords()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L34", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_scale_coords", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "scale_coords()" - }, - { - "label": "main()", - "file_type": "code", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L55", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_main", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "main()" - }, - { - "label": "\u9012\u5f52\u7f29\u653e result \u5185\u5168\u90e8\u5750\u6807:{left,top,width,height} \u77e9\u5f62\u4e0e {x,y} \u70b9,\u4e0e\u539f\u6570\u636e\u540c\u4e3a\u6574\u6570\u3002", - "file_type": "rationale", - "source_file": "h5/assets/mock/build-fixture.py", - "source_location": "L35", - "_origin": "ast", - "id": "h5_assets_mock_build_fixture_rationale_35", - "community": 33, - "community_name": "build-fixture.py", - "norm_label": "\u9012\u5f52\u7f29\u653e result \u5185\u5168\u90e8\u5750\u6807:{left,top,width,height} \u77e9\u5f62\u4e0e {x,y} \u70b9,\u4e0e\u539f\u6570\u636e\u540c\u4e3a\u6574\u6570\u3002" - }, - { - "label": "report-fixture.js", - "file_type": "code", - "source_file": "h5/assets/mock/report-fixture.js", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_report_fixture", - "community": 60, - "community_name": "report-fixture.js", - "norm_label": "report-fixture.js" - }, - { - "label": "smoke-test.js", - "file_type": "code", - "source_file": "h5/assets/mock/smoke-test.js", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_mock_smoke_test", - "community": 34, - "community_name": "smoke-test.js", - "norm_label": "smoke-test.js" - }, - { - "label": "ok()", - "file_type": "code", - "source_file": "h5/assets/mock/smoke-test.js", - "source_location": "L11", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_smoke_test_ok", - "community": 34, - "community_name": "smoke-test.js", - "norm_label": "ok()" - }, - { - "label": "imgSize()", - "file_type": "code", - "source_file": "h5/assets/mock/smoke-test.js", - "source_location": "L17", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_smoke_test_imgsize", - "community": 34, - "community_name": "smoke-test.js", - "norm_label": "imgsize()" - }, - { - "label": "parseDataURL()", - "file_type": "code", - "source_file": "h5/assets/mock/smoke-test.js", - "source_location": "L35", - "_callable": true, - "_origin": "ast", - "id": "h5_assets_mock_smoke_test_parsedataurl", - "community": 34, - "community_name": "smoke-test.js", - "norm_label": "parsedataurl()" - }, - { - "label": "manifest.json", - "file_type": "code", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L1", - "_origin": "ast", - "id": "h5_assets_voice_manifest", - "community": 13, - "community_name": "files", - "norm_label": "manifest.json" - }, - { - "label": "files", - "file_type": "code", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "h5_assets_voice_manifest_files", - "community": 13, - "community_name": "files", - "norm_label": "files" - }, - { - "label": "step1-front", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_step1_front", - "community": 13, - "community_name": "files", - "norm_label": "step1-front" - }, - { - "label": "step2-leftface", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_step2_leftface", - "community": 13, - "community_name": "files", - "norm_label": "step2-leftface" - }, - { - "label": "step3-rightface", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_step3_rightface", - "community": 13, - "community_name": "files", - "norm_label": "step3-rightface" - }, - { - "label": "hint-noface", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_noface", - "community": 13, - "community_name": "files", - "norm_label": "hint-noface" - }, - { - "label": "hint-near", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_near", - "community": 13, - "community_name": "files", - "norm_label": "hint-near" - }, - { - "label": "hint-far", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_far", - "community": 13, - "community_name": "files", - "norm_label": "hint-far" - }, - { - "label": "hint-front", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_front", - "community": 13, - "community_name": "files", - "norm_label": "hint-front" - }, - { - "label": "hint-turn-left", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_turn_left", - "community": 13, - "community_name": "files", - "norm_label": "hint-turn-left" - }, - { - "label": "hint-turn-right", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_turn_right", - "community": 13, - "community_name": "files", - "norm_label": "hint-turn-right" - }, - { - "label": "hint-hold", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_hint_hold", - "community": 13, - "community_name": "files", - "norm_label": "hint-hold" - }, - { - "label": "countdown-321", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_countdown_321", - "community": 13, - "community_name": "files", - "norm_label": "countdown-321" - }, - { - "label": "shot-done", - "file_type": "concept", - "source_file": "h5/assets/voice/manifest.json", - "source_location": "L2", - "_origin": "ast", - "id": "ref_shot_done", - "community": 13, - "community_name": "files", - "norm_label": "shot-done" - }, - { - "label": "analyzing", - "file_type": "concept", - 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"source_file": "h5/js/app.js", - "source_location": "L19", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_showscreen", - "community": 2, - "community_name": "app.js", - "norm_label": "showscreen()" - }, - { - "label": "resetReport()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L30", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_resetreport", - "community": 2, - "community_name": "app.js", - "norm_label": "resetreport()" - }, - { - "label": "openOverlay()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L42", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_openoverlay", - "community": 2, - "community_name": "app.js", - "norm_label": "openoverlay()" - }, - { - "label": "closeOverlay()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L43", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_closeoverlay", - "community": 2, - "community_name": "app.js", - "norm_label": "closeoverlay()" - }, - { - "label": "bindBackdropClose()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L47", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_bindbackdropclose", - "community": 2, - "community_name": "app.js", - "norm_label": "bindbackdropclose()" - }, - { - "label": "goSkin()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L100", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_goskin", - "community": 2, - "community_name": "app.js", - "norm_label": "goskin()" - }, - { - "label": "rsClose()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L152", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_rsclose", - "community": 2, - "community_name": "app.js", - "norm_label": "rsclose()" - }, - { - "label": "effMirror()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L188", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_effmirror", - "community": 2, - "community_name": "app.js", - "norm_label": "effmirror()" - }, - { - "label": "getCamStream()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L189", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_getcamstream", - "community": 2, - "community_name": "app.js", - "norm_label": "getcamstream()" - }, - { - "label": "waitVideoStable()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L201", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_waitvideostable", - "community": 2, - "community_name": "app.js", - "norm_label": "waitvideostable()" - }, - { - "label": "startCamera()", - "file_type": "code", - "source_file": "h5/js/app.js", - "source_location": "L212", - "_callable": true, - "_origin": "ast", - "id": "h5_js_app_startcamera", - "community": 2, - "community_name": "app.js", - "norm_label": "startcamera()" - }, - { - "label": "onCamTrackEnded()", - "file_type": "code", - 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