fix(auth): harden WeChat login and explicit identity switching
This commit is contained in:
@@ -4,24 +4,24 @@
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"2": "app.js",
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"3": "skin-score.js",
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"4": "i",
|
||||
"5": "n",
|
||||
"5": "r",
|
||||
"6": ".runAndExtendWithFaceDetections",
|
||||
"7": "Box",
|
||||
"8": "admin.js",
|
||||
"9": "__awaiter",
|
||||
"10": "AgeGenderNet",
|
||||
"10": "TinyYolov2Base",
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||||
"11": "lib/accounts.js",
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||||
"12": "server.js",
|
||||
"13": "files",
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||||
"14": "FaceLandmarks68",
|
||||
"14": "FaceLandmarks",
|
||||
"15": ".runAndExtendWithFaceDetection",
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||||
"16": "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范",
|
||||
"17": "extractFaces",
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||||
"18": "1'me 在线肌肤测试 H5",
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||||
"19": "head-pose.js",
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||||
"20": "build_fixtures.py",
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||||
"21": "disposeUnusedWeightTensors",
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||||
"22": "ComputeAllFaceDescriptorsTask",
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||||
"21": "AgeGenderNet",
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||||
"22": ".loadFromDisk",
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||||
"23": "facepp-skinanalyze（旷视皮肤分析专业版调用技能）",
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||||
"24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0",
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"25": "mobile-select.iife.min.js",
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@@ -42,7 +42,7 @@
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"40": ".predictAgeAndGender",
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"41": "test/accounts.js",
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"42": "export_psd_assets.py",
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"43": ".loadFromDisk",
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"43": ".toString",
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||||
"44": "start-local.sh",
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||||
"45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
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"46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
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@@ -54,7 +54,7 @@
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"52": "region-data.js",
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||||
"53": "护理建议（全量文本，按需求摘抄）",
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||||
"54": "UI 对齐 10.09 设计稿：调研与实施计划",
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"55": "extractFaceTensors",
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"55": "pn",
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"56": "report-ui.js",
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"57": "regression.js",
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"58": ".dispose",
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@@ -64,7 +64,7 @@
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"62": "提交前 Review（2026-10-11）",
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"63": "e2e-browser.mjs",
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||||
"64": "account-client.js",
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"65": "k",
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"65": "微信登录接入与公网部署说明",
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"66": "wechat-browser.mjs",
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"67": "ui-20261009.mjs",
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"68": "analyze-timeout.js",
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@@ -77,9 +77,15 @@
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"75": "prepare_h5_assets.py",
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"76": "TinyYolov2",
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"77": "drawFaceExpressions",
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"78": ".toString",
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"78": "n",
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"79": "isValidNumber",
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"80": "线上微信登录部署记录",
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"81": "ComputeSingleFaceDescriptorTask",
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"82": "PredictAllFaceExpressionsTask"
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"81": "wechat-production.mjs",
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"82": "ComputeAllFaceDescriptorsTask",
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"83": "10.09 新版 H5 实施与验收",
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"84": "微信登录联调：2026-10-12",
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"87": "产品推荐规则：肤龄基准与边界调整",
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"92": "部署",
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"97": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
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"98": "PredictSingleFaceExpressionsWithFaceAlignmentTask"
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}
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@@ -1 +1 @@
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{"0": "73743c18a4a7fca9", "1": "cb6ea50bd4e4a5ca", "2": "9cf893b45c314643", "3": "1f737ca8edb978f2", "4": "55697fad20675b78", "5": "be544c1e1f2ddb64", "6": "46204fb2e4d50c53", "7": "fcfa9f1898866dc8", "8": "1ecf47531e1d507b", "9": "2e6b02a61343f092", "10": "563202faef7b3421", "11": "edc9f95405704875", "12": "d3e946c5907aa577", "13": "7e3b558a587a4ebe", "14": "15606ce5d8eec23a", "15": "5a9014c4a7f87699", "16": "95add6a975c0cb72", "17": "2405e1edb003a83e", "18": "300b45cf926eb704", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "d3cd661c24264482", "22": "3dd68cce72af5314", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "6b6c40a418e18aed", "27": "eab427ce9a5219e9", "28": "00f6d1f8841af9c4", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "8e5e97153c881130", "37": "cb8f26249485324a", "38": "e2d12f8289f83819", "39": "fdd95375b4a5ddb3", "40": "a2b13160223b5a98", "41": "4bc370be8afd7db1", "42": "ffd960136fde00ad", "43": "00dab8704da757dc", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "e042d7fe7351bcb9", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "0d376c2f52a725e0", "56": "91d7ab49459e0b92", "57": "f2a40b5f1b29f669", "58": "675690fb61ef5bc7", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "18ffa2c1feddfd10", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "86101547c05f96b9", "65": "b7874aef5ca3f2ee", "66": "2b44d0efd8eb25c5", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "bf75bfc99d4f9e34", "71": "4195478d5c528371", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "29790cf710874dd0", "77": "a0bc88eb14b70170", "78": "42c9bc548e269a96", "79": "1c27e5f448dc4f9c", "80": "059d6ba8ca7ec3a0", "81": "7ac475ea9bc280f8", "82": "e800d832c255899a"}
|
||||
{"0": "4e953aa5accd7c7a", "1": "cb6ea50bd4e4a5ca", "2": "9cf893b45c314643", "3": "1f737ca8edb978f2", "4": "5f6112d5f635312b", "5": "eef22a8f3d286cb0", "6": "435ca504c453b5ca", "7": "cd3c9a7feaf8faee", "8": "1ecf47531e1d507b", "9": "abb09e22736891ca", "10": "b78b7363e38a9a47", "11": "4a490abd5e503318", "12": "d3e946c5907aa577", "13": "7e3b558a587a4ebe", "14": "b3282012327aedbb", "15": "8bd61518dd267641", "16": "95add6a975c0cb72", "17": "fceb16a66797d550", "18": "9dec2afb5aedd74b", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "e6363b2654e6584b", "22": "caf0f067881ef97e", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "3c28e8d4be0a55e3", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "23f1d406f6c779ae", "36": "a3859fc25c864a81", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "a2b13160223b5a98", "41": "4bc370be8afd7db1", "42": "ffd960136fde00ad", "43": "15d6968c6dfb2e19", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "e042d7fe7351bcb9", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "1ac1eedae197df20", "56": "91d7ab49459e0b92", "57": "f2a40b5f1b29f669", "58": "36e826942fb5c839", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "ed382bc83b2567aa", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "6281db8274251503", "66": "769f05ad8584c01f", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "bf75bfc99d4f9e34", "71": "4195478d5c528371", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "c96276581a8c98d4", "77": "979dcc63399620ad", "78": "9c8639405659c6ae", "79": "1c27e5f448dc4f9c", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "3dd68cce72af5314", "83": "1284897282eb47a3", "84": "3f747b286aec1e85", "87": "e5fa7717989eda80", "92": "7dc1445ea84a39a8", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54"}
|
||||
+109
-79
@@ -1,16 +1,16 @@
|
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# Graph Report - juzi (2026-10-12)
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|
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## Corpus Check
|
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- 66 files · ~4,184,136 words
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- 68 files · ~4,185,405 words
|
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- Verdict: corpus is large enough that graph structure adds value.
|
||||
|
||||
## Summary
|
||||
- 1188 nodes · 2566 edges · 83 communities (66 shown, 17 thin omitted)
|
||||
- 1204 nodes · 2589 edges · 89 communities (72 shown, 17 thin omitted)
|
||||
- Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 179 edges (avg confidence: 0.53)
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- Token cost: 0 input · 0 output
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|
||||
## Graph Freshness
|
||||
- Built from commit: `7518dc23`
|
||||
- Built from commit: `0ec5e5dc`
|
||||
- Run `git rev-parse HEAD` and compare to check if the graph is stale.
|
||||
- Run `graphify update .` after code changes (no API cost).
|
||||
|
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@@ -20,24 +20,24 @@
|
||||
- app.js
|
||||
- skin-score.js
|
||||
- i
|
||||
- n
|
||||
- r
|
||||
- .runAndExtendWithFaceDetections
|
||||
- Box
|
||||
- admin.js
|
||||
- __awaiter
|
||||
- AgeGenderNet
|
||||
- TinyYolov2Base
|
||||
- lib/accounts.js
|
||||
- server.js
|
||||
- files
|
||||
- FaceLandmarks68
|
||||
- FaceLandmarks
|
||||
- .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
|
||||
- disposeUnusedWeightTensors
|
||||
- ComputeAllFaceDescriptorsTask
|
||||
- AgeGenderNet
|
||||
- .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
|
||||
- mobile-select.iife.min.js
|
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@@ -57,7 +57,7 @@
|
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- .predictAgeAndGender
|
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- test/accounts.js
|
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- export_psd_assets.py
|
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- .loadFromDisk
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- .toString
|
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- start-local.sh
|
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- PredictAllAgeAndGenderWithFaceAlignmentTask
|
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- PredictAllFaceExpressionsWithFaceAlignmentTask
|
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@@ -67,7 +67,7 @@
|
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- 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
|
||||
- extractFaceTensors
|
||||
- pn
|
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- report-ui.js
|
||||
- regression.js
|
||||
- .dispose
|
||||
@@ -76,7 +76,7 @@
|
||||
- 提交前 Review（2026-10-11）
|
||||
- e2e-browser.mjs
|
||||
- account-client.js
|
||||
- k
|
||||
- 微信登录接入与公网部署说明
|
||||
- wechat-browser.mjs
|
||||
- ui-20261009.mjs
|
||||
- analyze-timeout.js
|
||||
@@ -86,11 +86,17 @@
|
||||
- build_report_copy.py
|
||||
- TinyYolov2
|
||||
- drawFaceExpressions
|
||||
- .toString
|
||||
- n
|
||||
- isValidNumber
|
||||
- 线上微信登录部署记录
|
||||
- ComputeSingleFaceDescriptorTask
|
||||
- PredictAllFaceExpressionsTask
|
||||
- wechat-production.mjs
|
||||
- ComputeAllFaceDescriptorsTask
|
||||
- 10.09 新版 H5 实施与验收
|
||||
- 微信登录联调：2026-10-12
|
||||
- 产品推荐规则：肤龄基准与边界调整
|
||||
- 部署
|
||||
- PredictSingleAgeAndGenderWithFaceAlignmentTask
|
||||
- PredictSingleFaceExpressionsWithFaceAlignmentTask
|
||||
|
||||
## God Nodes (most connected - your core abstractions)
|
||||
1. `__awaiter()` - 59 edges
|
||||
@@ -119,11 +125,11 @@
|
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## Import Cycles
|
||||
- None detected.
|
||||
|
||||
## Communities (83 total, 17 thin omitted)
|
||||
## Communities (89 total, 17 thin omitted)
|
||||
|
||||
### Community 0 - "face-api.js"
|
||||
Cohesion: 0.02
|
||||
Nodes (35): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), FaceDetection() (+27 more)
|
||||
Nodes (32): cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), dr(), en(), extractBoundingBoxes() (+24 more)
|
||||
|
||||
### Community 1 - "线上闭环测试（不含真实微信授权）"
|
||||
Cohesion: 0.25
|
||||
@@ -139,31 +145,35 @@ Nodes (45): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens()
|
||||
|
||||
### Community 4 - "i"
|
||||
Cohesion: 0.09
|
||||
Nodes (42): a(), bf(), cf(), d(), da(), dn(), DrawBox(), drawContour() (+34 more)
|
||||
Nodes (27): b(), ba(), ca(), da(), dn(), ee(), et(), fa() (+19 more)
|
||||
|
||||
### Community 5 - "n"
|
||||
Cohesion: 0.11
|
||||
Nodes (37): ae(), b(), be(), bi(), ce(), de(), e(), Ef() (+29 more)
|
||||
### Community 5 - "r"
|
||||
Cohesion: 0.15
|
||||
Nodes (34): a(), bf(), cf(), d(), drawContour(), dt(), e(), ea() (+26 more)
|
||||
|
||||
### Community 6 - ".runAndExtendWithFaceDetections"
|
||||
Cohesion: 0.33
|
||||
Nodes (5): DetectAllFacesTask(), extendWithFaceDetection(), isWithFaceDetection(), isWithFaceLandmarks(), resizeResults()
|
||||
|
||||
### Community 7 - "Box"
|
||||
Cohesion: 0.10
|
||||
Nodes (11): Box(), extendWithFaceDescriptor(), extendWithFaceDetection(), extendWithFaceLandmarks(), FaceLandmarks(), FaceRecognitionNet(), isWithFaceDetection(), isWithFaceLandmarks() (+3 more)
|
||||
Cohesion: 0.16
|
||||
Nodes (3): Box(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor()
|
||||
|
||||
### Community 8 - "admin.js"
|
||||
Cohesion: 0.21
|
||||
Nodes (28): ageText(), api(), bind(), closeDetail(), collectFilters(), dimsHtml(), doRetry(), dSec() (+20 more)
|
||||
|
||||
### Community 9 - "__awaiter"
|
||||
Cohesion: 0.14
|
||||
Nodes (13): __awaiter(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow() (+5 more)
|
||||
Cohesion: 0.11
|
||||
Nodes (15): __awaiter(), bufferToImage(), ComposableTask(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), fetchImage() (+7 more)
|
||||
|
||||
### Community 10 - "AgeGenderNet"
|
||||
Cohesion: 0.05
|
||||
Nodes (31): AgeGenderNet(), conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm() (+23 more)
|
||||
### Community 10 - "TinyYolov2Base"
|
||||
Cohesion: 0.10
|
||||
Nodes (22): boxPredictionLayer(), convLayer(), convWithBatchNorm(), decodeBoxesLayer(), depthwiseConvLayer(), depthwiseSeparableConv$1(), fullyConnectedLayer(), getCenterCoordinatesAndSizesLayer() (+14 more)
|
||||
|
||||
### Community 11 - "lib/accounts.js"
|
||||
Cohesion: 0.17
|
||||
Nodes (19): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (+11 more)
|
||||
Nodes (20): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (+12 more)
|
||||
|
||||
### Community 12 - "server.js"
|
||||
Cohesion: 0.08
|
||||
@@ -173,25 +183,25 @@ Nodes (49): accounts, appendRecord(), callFacepp(), CRED, csvCell(), DATA_DIR, d
|
||||
Cohesion: 0.12
|
||||
Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)
|
||||
|
||||
### Community 14 - "FaceLandmarks68"
|
||||
Cohesion: 0.19
|
||||
Nodes (3): FaceLandmarks5(), FaceLandmarks68(), getCenterPoint()
|
||||
### Community 14 - "FaceLandmarks"
|
||||
Cohesion: 0.05
|
||||
Nodes (25): conv(), conv$1(), convDown(), convLayer$1(), convNoRelu(), denseBlock3(), denseBlock4(), depthwiseSeparableConv() (+17 more)
|
||||
|
||||
### Community 15 - ".runAndExtendWithFaceDetection"
|
||||
Cohesion: 0.33
|
||||
Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectSingleFaceTask()
|
||||
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: 0.19
|
||||
Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)
|
||||
Cohesion: 0.17
|
||||
Nodes (20): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractFaceTensors(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+12 more)
|
||||
|
||||
### Community 18 - "1'me 在线肌肤测试 H5"
|
||||
Cohesion: 0.05
|
||||
Nodes (33): 10.09 新版 H5 实施与验收, 按确认项实现, 文档未定义部分的实施口径, 素材再生成, 验证命令, 产品推荐规则：肤龄基准与边界调整, 决策顺序, 后台与前端一致性 (+25 more)
|
||||
Cohesion: 0.17
|
||||
Nodes (12): 10.09 更新, 1'me 在线肌肤测试 H5, Admin API(统一返回 `{ok:false,message}` 错误), 后台查看(admin.html), 密钥配置, 已知占位清单, 技术说明, 拍照交互(动态捕捉自动三连拍) (+4 more)
|
||||
|
||||
### Community 19 - "head-pose.js"
|
||||
Cohesion: 0.33
|
||||
@@ -201,9 +211,13 @@ Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(),
|
||||
Cohesion: 0.40
|
||||
Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)
|
||||
|
||||
### Community 21 - "disposeUnusedWeightTensors"
|
||||
Cohesion: 0.06
|
||||
Nodes (33): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9() (+25 more)
|
||||
### Community 21 - "AgeGenderNet"
|
||||
Cohesion: 0.05
|
||||
Nodes (28): AgeGenderNet(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1() (+20 more)
|
||||
|
||||
### Community 22 - ".loadFromDisk"
|
||||
Cohesion: 0.24
|
||||
Nodes (4): fetchJson(), getModelUris(), loadWeightMap(), TinyFaceDetector()
|
||||
|
||||
### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
|
||||
Cohesion: 0.20
|
||||
@@ -218,16 +232,16 @@ Cohesion: 0.20
|
||||
Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)
|
||||
|
||||
### Community 26 - "wi"
|
||||
Cohesion: 0.20
|
||||
Nodes (12): Ci(), Ei(), Fi(), Ii(), ki(), pe(), Qt(), ri() (+4 more)
|
||||
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 - "C"
|
||||
Cohesion: 0.08
|
||||
Nodes (33): bn(), Bo(), C(), cd(), cl(), co(), eo(), fn() (+25 more)
|
||||
Cohesion: 0.10
|
||||
Nodes (30): Bo(), C(), cd(), cl(), co(), eo(), fo(), Ft() (+22 more)
|
||||
|
||||
### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
|
||||
Cohesion: 0.29
|
||||
@@ -242,17 +256,13 @@ 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: 0.33
|
||||
Nodes (6): ao(), Do(), io(), oo(), so(), To()
|
||||
Cohesion: 0.40
|
||||
Nodes (5): ao(), Do(), io(), so(), To()
|
||||
|
||||
### Community 37 - "UI 外发版 10.09 图片资源"
|
||||
Cohesion: 0.40
|
||||
Nodes (4): UI 外发版 10.09 图片资源, 前端素材对应, 文件位置, 重新导出
|
||||
|
||||
### Community 38 - "FaceLandmark68Net"
|
||||
Cohesion: 0.17
|
||||
Nodes (3): FaceLandmark68Net(), PredictSingleAgeAndGenderWithFaceAlignmentTask(), PredictSingleFaceExpressionsWithFaceAlignmentTask()
|
||||
|
||||
### Community 39 - "UI交互界面调整"
|
||||
Cohesion: 0.40
|
||||
Nodes (4): 1meAI测肤旷视UI问题反馈, UI交互界面调整, 交互, **设计**
|
||||
@@ -269,9 +279,9 @@ Nodes (9): assert, create, fs, http, os, path, ReportUI, SkinScore (+1 more)
|
||||
Cohesion: 0.70
|
||||
Nodes (4): bounds(), layer_at(), main(), save_image()
|
||||
|
||||
### Community 43 - ".loadFromDisk"
|
||||
### Community 43 - ".toString"
|
||||
Cohesion: 0.29
|
||||
Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector()
|
||||
Nodes (6): ae(), FaceMatch(), la(), pr(), pt(), vt()
|
||||
|
||||
### Community 44 - "start-local.sh"
|
||||
Cohesion: 0.50
|
||||
@@ -293,9 +303,9 @@ 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 - "extractFaceTensors"
|
||||
### Community 55 - "pn"
|
||||
Cohesion: 0.29
|
||||
Nodes (3): DetectAllFaceLandmarksTask(), extractFaceTensors(), isTensor3D()
|
||||
Nodes (7): bn(), fn(), ln(), pn(), un(), wn(), xn()
|
||||
|
||||
### Community 56 - "report-ui.js"
|
||||
Cohesion: 0.90
|
||||
@@ -306,12 +316,12 @@ Cohesion: 0.60
|
||||
Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
|
||||
|
||||
### Community 58 - ".dispose"
|
||||
Cohesion: 0.16
|
||||
Nodes (12): extractBoundingBoxes(), getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), rescaleAndNormalize(), scale() (+4 more)
|
||||
Cohesion: 0.17
|
||||
Nodes (12): extendWithFaceLandmarks(), getSizesForScale(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1(), ObjectDetection(), rescaleAndNormalize() (+4 more)
|
||||
|
||||
### Community 61 - "NeuralNetwork"
|
||||
Cohesion: 0.06
|
||||
Nodes (28): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+20 more)
|
||||
Cohesion: 0.07
|
||||
Nodes (26): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+18 more)
|
||||
|
||||
### Community 62 - "提交前 Review（2026-10-11）"
|
||||
Cohesion: 0.40
|
||||
@@ -322,16 +332,16 @@ Cohesion: 0.29
|
||||
Nodes (4): EXPECTED, fails, pageErrors, pwRoot
|
||||
|
||||
### Community 64 - "account-client.js"
|
||||
Cohesion: 0.90
|
||||
Nodes (4): browser(), init(), read(), request()
|
||||
Cohesion: 0.80
|
||||
Nodes (5): browser(), init(), read(), rememberKind(), request()
|
||||
|
||||
### Community 65 - "k"
|
||||
Cohesion: 0.13
|
||||
Nodes (16): ba(), ca(), fa(), gn(), k(), kn(), pa(), tt() (+8 more)
|
||||
### Community 65 - "微信登录接入与公网部署说明"
|
||||
Cohesion: 0.22
|
||||
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, 结论与当前阻碍
|
||||
|
||||
### Community 66 - "wechat-browser.mjs"
|
||||
Cohesion: 0.40
|
||||
Nodes (4): createAccounts, h5, require, root
|
||||
Cohesion: 0.25
|
||||
Nodes (6): createAccounts, h5, ReportUI, require, root, SkinScore
|
||||
|
||||
### Community 68 - "analyze-timeout.js"
|
||||
Cohesion: 0.20
|
||||
@@ -342,35 +352,55 @@ Cohesion: 0.50
|
||||
Nodes (3): artifacts, errors, samples
|
||||
|
||||
### Community 77 - "drawFaceExpressions"
|
||||
Cohesion: 0.50
|
||||
Nodes (3): drawFaceExpressions(), FaceExpressions(), isWithFaceExpressions()
|
||||
Cohesion: 0.22
|
||||
Nodes (6): DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), FaceExpressions(), isWithFaceExpressions()
|
||||
|
||||
### Community 78 - ".toString"
|
||||
Cohesion: 0.50
|
||||
Nodes (3): FaceMatch(), la(), pr()
|
||||
### Community 78 - "n"
|
||||
Cohesion: 0.11
|
||||
Nodes (29): be(), bi(), ce(), de(), Ef(), er(), fe(), Ie() (+21 more)
|
||||
|
||||
### Community 79 - "isValidNumber"
|
||||
Cohesion: 0.33
|
||||
Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()
|
||||
|
||||
### Community 80 - "线上微信登录部署记录"
|
||||
Cohesion: 0.29
|
||||
Cohesion: 0.33
|
||||
Nodes (6): 初次部署时的凭据查找记录（现已由用户提供）, 初次部署的线上检查（历史结果）, 后续更新：已配置真实凭据, 已执行, 用户确认加入白名单后的复测, 线上微信登录部署记录
|
||||
|
||||
### Community 81 - "wechat-production.mjs"
|
||||
Cohesion: 0.60
|
||||
Nodes (4): api(), base, callback(), start()
|
||||
|
||||
### 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
|
||||
|
||||
### Community 84 - "微信登录联调：2026-10-12"
|
||||
Cohesion: 0.29
|
||||
Nodes (5): 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 87 - "产品推荐规则：肤龄基准与边界调整"
|
||||
Cohesion: 0.33
|
||||
Nodes (6): 产品推荐规则：肤龄基准与边界调整, 决策顺序, 后台与前端一致性, 实施与验证范围, 已明确的要求, 已确认的三个条件
|
||||
|
||||
### Community 92 - "部署"
|
||||
Cohesion: 0.67
|
||||
Nodes (3): Windows 本机部署(提测用), 线上部署(juzi.xiangsilian.com), 部署
|
||||
|
||||
## Knowledge Gaps
|
||||
- **183 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+178 more)
|
||||
- **190 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+185 more)
|
||||
These have ≤1 connection - possible missing edges or undocumented components.
|
||||
- **17 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
|
||||
|
||||
## Suggested Questions
|
||||
_Questions this graph is uniquely positioned to answer:_
|
||||
|
||||
- **Why does `k()` connect `k` to `face-api.js`, `app.js`, `i`, `n`, `lib/accounts.js`?**
|
||||
_High betweenness centrality (0.061) - this node is a cross-community bridge._
|
||||
- **Why does `r()` connect `n` to `face-api.js`, `i`, `AgeGenderNet`, `server.js`, `.toString`, `wi`, `C`?**
|
||||
_High betweenness centrality (0.050) - this node is a cross-community bridge._
|
||||
- **Why does `renderReport()` connect `app.js` to `k`, `n`?**
|
||||
_High betweenness centrality (0.047) - this node is a cross-community bridge._
|
||||
- **Why does `k()` connect `i` to `face-api.js`, `app.js`, `r`, `.toString`, `lib/accounts.js`, `n`, `C`?**
|
||||
_High betweenness centrality (0.063) - this node is a cross-community bridge._
|
||||
- **Why does `r()` connect `r` to `face-api.js`, `i`, `.toString`, `server.js`, `n`, `FaceLandmarks`, `C`?**
|
||||
_High betweenness centrality (0.055) - this node is a cross-community bridge._
|
||||
- **Why does `renderReport()` connect `app.js` to `i`, `n`?**
|
||||
_High betweenness centrality (0.048) - 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?**
|
||||
@@ -378,4 +408,4 @@ _Questions this graph is uniquely positioned to answer:_
|
||||
- **Are the 7 inferred relationships involving `t()` (e.g. with `renderReport()` and `e()`) actually correct?**
|
||||
_`t()` has 7 INFERRED edges - model-reasoned connections that need verification._
|
||||
- **What connects `source`, `document_size`, `pages` to the rest of the system?**
|
||||
_183 weakly-connected nodes found - possible documentation gaps or missing edges._
|
||||
_190 weakly-connected nodes found - possible documentation gaps or missing edges._
|
||||
File diff suppressed because one or more lines are too long
+1043
-601
File diff suppressed because it is too large
Load Diff
+26
-16
@@ -40,8 +40,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/js/app.js": {
|
||||
"mtime": 1791735440.264282,
|
||||
"ast_hash": "bd18e424efb5c8d037b64d67f869b198",
|
||||
"mtime": 1791770434.3399014,
|
||||
"ast_hash": "174b15c983614449ca67a7e5b81a8bbf",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/js/head-pose.js": {
|
||||
@@ -140,8 +140,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/index.html": {
|
||||
"mtime": 1791735440.2604818,
|
||||
"ast_hash": "444fca45ad900710607cb15b852c0305",
|
||||
"mtime": 1791770434.3399014,
|
||||
"ast_hash": "cfdedacf49c9a83c23155abb39fc7447",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/vendor/faceapi/README.md": {
|
||||
@@ -1230,8 +1230,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/js/account-client.js": {
|
||||
"mtime": 1791646011.3632386,
|
||||
"ast_hash": "1aad127f864693ee873d59b177386b33",
|
||||
"mtime": 1791770434.3399014,
|
||||
"ast_hash": "d14c4ec5374a8ada79e0e7cd1cc294a0",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/js/camera-geometry.js": {
|
||||
@@ -1250,13 +1250,13 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/lib/accounts.js": {
|
||||
"mtime": 1791735369.9274576,
|
||||
"ast_hash": "1a0677e439938aa2e9e4decf38fad568",
|
||||
"mtime": 1791770434.3399014,
|
||||
"ast_hash": "af809199fbaae6318fb71fe602ddc102",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/test/accounts.js": {
|
||||
"mtime": 1791735546.0452847,
|
||||
"ast_hash": "aa05cb7d924b1ddbe8834faeab24588f",
|
||||
"mtime": 1791770576.0104883,
|
||||
"ast_hash": "d927f5d1486b56505ba4da49ec6a769c",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/test/report-persistence.mjs": {
|
||||
@@ -1290,8 +1290,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"docs/\u5fae\u4fe1\u767b\u5f55\u63a5\u5165\u4e0e\u516c\u7f51\u90e8\u7f72\u8bf4\u660e.md": {
|
||||
"mtime": 1791730674.7561882,
|
||||
"ast_hash": "6e8f9f9a8b941790adccde55be9b125c",
|
||||
"mtime": 1791770706.5669558,
|
||||
"ast_hash": "b290838863e54d0d6261cb4e43cc0904",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/assets/fonts/misans/README.md": {
|
||||
@@ -1530,8 +1530,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/test/wechat-browser.mjs": {
|
||||
"mtime": 1791710791.703553,
|
||||
"ast_hash": "7d44f0e7fee4a30c6654db57de57923e",
|
||||
"mtime": 1791770609.8948362,
|
||||
"ast_hash": "9e3344d5618e59e5e765d16d4b0903b0",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"docs/2026-10-11\u63d0\u4ea4\u524dReview.md": {
|
||||
@@ -1550,8 +1550,8 @@
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"docs/\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55-2026-10-11.md": {
|
||||
"mtime": 1791730745.132436,
|
||||
"ast_hash": "056f5b8e0ee8920285d9cf8b1764f3f5",
|
||||
"mtime": 1791770706.5669558,
|
||||
"ast_hash": "7a475de28d6a21509d18bf30a3b29080",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/test/browser-failures.mjs": {
|
||||
@@ -1573,5 +1573,15 @@
|
||||
"mtime": 1791735707.6717124,
|
||||
"ast_hash": "69c1278c6c8eea5866982940e20e421c",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"docs/\u5fae\u4fe1\u767b\u5f55\u8054\u8c03-2026-10-12.md": {
|
||||
"mtime": 1791770818.4989572,
|
||||
"ast_hash": "55253912b649c3ca707acdf2631a9e7f",
|
||||
"semantic_hash": ""
|
||||
},
|
||||
"h5/test/wechat-production.mjs": {
|
||||
"mtime": 1791770851.3389251,
|
||||
"ast_hash": "ba457695243430e271cfd7927ef22541",
|
||||
"semantic_hash": ""
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user