Compare commits

...
18 Commits
Author SHA1 Message Date
Wxw-Gu 794880d389 chore: 提升版本 2026-07-23 16:25:08 +08:00
Wxw-Gu d0ceeceb68 fix: 容错修复群聊日报 JSON, 图片样式问题 2026-07-23 16:20:45 +08:00
Wxw-Gu 62f729d281 chore: 添加应用诊断日志 2026-07-23 16:09:20 +08:00
Wxw-Gu 0d544275c0 chore: 删除图片 2026-07-17 14:46:11 +08:00
Wxw-Gu a91b4d7a56 docs: 添加交流二维码并升级版本 2026-07-17 14:44:50 +08:00
Wxw-Gu f9b567fba2 feat: 重构数据库登录与路径发现 2026-07-17 14:35:53 +08:00
Wxw-Gu 1f693aa3d7 perf: 优化聊天渲染与后台任务性能 2026-07-17 11:37:02 +08:00
Wxw-Gu 8e1e166856 merge: 合并日报名称与图片识别修复 2026-07-15 21:18:02 +08:00
Wxw-Gu 1275c512c4 fix: 修复日报成员名称与图片识别兼容性 2026-07-15 21:17:54 +08:00
Wxw-Gu 1abaa57a0c merge: 合并 AI 微信 Agent 能力 2026-07-15 20:50:04 +08:00
Wxw-Gu d08db46479 feat: 完善跨平台发布与生产密钥隔离 2026-07-15 20:49:47 +08:00
Wxw-Gu eaea8d8435 feat: 内置微信连接器并完善 Agent 查询能力 2026-07-15 20:27:05 +08:00
电摇小子andWxw-Gu 1e97953d67 feat: 集成 Agent Hub 微信机器人能力 2026-07-15 17:26:15 +08:00
Wxw-Gu 597667e005 merge: 合并群聊日报与图片理解功能 2026-07-15 16:32:35 +08:00
Wxw-Gu 515348b6d8 feat: 完善群聊日报模板与图片理解 2026-07-15 16:29:25 +08:00
Wxw-Gu e150605c91 merge: feat/report 集成进 feat/newReport (M1)
合并 feat/report 的日报功能 + main 的图片识别基建:
- 保留 main 分支的图片识别能力(ai-provider-service + key-store + settings/ai-model)
- 保留 feat/report 的日报功能(ChatWindow.tsx + group-report* + mobile_daily_report.html)
- index.ts/preload 同时保留两边的 IPC handler(api:chat / ai:testVision / report:export / db:getImage)

冲突解决:
- main/index.ts ai:chat:采用 main 版本(AIProviderService)
- group-report-service.ts values:采用 feat/report 版本(完整 hero/section 占位符)
- 整文件替换:ChatWindow.tsx / group-report.ts / mobile_daily_report.html
  (采用 feat/report 版本,与 group-report-facts.ts 协同)
2026-07-15 10:34:19 +08:00
电摇小子 556d70eab3 feat: 临时加一个windows 目录输入框 2026-07-14 14:33:40 +08:00
电摇小子 d079d45279 feat: 更换日报功能模板
- ChatWindow 模型下拉框新增 deepseek-v4-pro /
  deepseek-v4-flash
  - 主进程 model 兜底值改为 deepseek-v4-flash
  - 同步更新 .env.example 默认模型
  - 修复旧 localStorage 中 gpt-5.5 等不支持的模型导致的
  400 报错
2026-07-10 15:40:35 +08:00
85 changed files with 14330 additions and 1111 deletions
+1 -1
View File
@@ -8,7 +8,7 @@ VITE_AUTO_LOGIN=false
# AI API Configuration (Optional, can be entered in UI)
VITE_DEEPSEEK_API_KEY=
VITE_AI_BASE_URL=https://api.deepseek.com
VITE_AI_MODEL=deepseek-chat
VITE_AI_MODEL=deepseek-v4-flash
# Message types to filter out (comma separated). Empty means show all message types.
VITE_FILTER_MSG_TYPES=
+2
View File
@@ -1,10 +1,12 @@
node_modules
*.tsbuildinfo
dist
out
.env
.DS_Store
.eslintcache
*.log*
resources/connectors/wechat/
.omc
.codex/
docs/design/
+10 -1
View File
@@ -9,7 +9,7 @@ macOS / Windows 微信聊天记录查看,AI 一键生成群聊总结。
在微信 4.0 数据库解析、解密思路上,项目参考了 [WeFlow](https://github.com/hicccc77/WeFlow) 等开源项目的实现方式;此项目围绕我自己的使用场景做的定制化工具,重点放在本地聊天记录查看、群聊总结和个人工作流集成上。
> 当前版本:`v2.1.0`。macOS 支持相对稳定;Windows 已初步支持微信 4.0 数据库连接、自动获取密钥和聊天记录查看,仍在持续兼容不同微信版本与本地目录结构。
> 当前版本:`v2.1.2`。macOS 支持相对稳定;Windows 已初步支持微信 4.0 数据库连接、自动获取密钥和聊天记录查看,仍在持续兼容不同微信版本与本地目录结构。
## ✨ 功能特性
@@ -18,10 +18,13 @@ macOS / Windows 微信聊天记录查看,AI 一键生成群聊总结。
- **AI 智能总结**: 支持多模型服务配置(DeepSeek/GPT-4o/Claude/Moonshot),一键总结群聊精华内容,生成话题报告。
- **群聊日报生成**: 支持围绕群聊内容生成日报,通常会覆盖以下模块中的部分或全部内容:
- **今日讨论热点**: 梳理群内主要话题,支持热度标签。
- **一句话速览**: 首屏突出今日核心结论与待跟进事项。
- **实用信息与资源**: 提取分享的链接、资源等信息。
- **重要消息汇总**: 标记并展示重要消息,带发送者头像。
- **有趣对话或金句**: 收录群内的精彩对话。
- **问题与解答**: 整理群内的问答内容。
- **尚未解决 / 今日剧情线**: 更适合工作群和项目群的回顾与跟进。
- **今日群相册 / 语音时长榜 / 临时群友称号**: 让图片、语音和氛围型内容也能参与日报。
- **群内数据可视化**: 消息热度条形图、话唠榜 TOP5、活跃时间线。
- **词云/关键词**: 可视化展示群聊关键词。
- **图片生成**: 将 AI 总结的内容生成精美图片,方便分享。
@@ -194,3 +197,9 @@ curl -G "http://127.0.0.1:6131/api/v1/resolve" \
- [WechatMessageExplorer](https://github.com/svcvit/WechatMessageExplorer)
- [WeFlow](https://github.com/hicccc77/WeFlow)
- [chatlog](https://github.com/sjzar/chatlog)
## 📱 交流与反馈
<p align="center">
<img src="./public/二维码.jpg" alt="WechatExplorer 交流二维码" width="280" />
</p>
+21 -2
View File
@@ -141,12 +141,31 @@ GET 用于读取数据,`POST /api/v1/report` 用于生成群日报(HTML + 长图
"qa": [
{ "question": "Q", "answer": "A", "answerer": "解答人(可选)" }
],
"unresolved": [
{ "question": "待跟进问题", "owner": "相关人(可选)", "status": "待跟进", "note": "为什么还没结束" }
],
"storylines": [
{ "title": "剧情线", "stages": [{ "time": "10:12", "event": "提出问题" }], "result": "可选结果" }
],
"reversals": [
{ "topic": "某话题", "initialView": "最初判断", "finalView": "最终判断", "note": "可选说明" }
],
"participantChains": [
{ "topic": "某话题", "chain": ["A 提出", "B 补充", "C 收尾"], "note": "可选说明" }
],
"analytics": {
"topicHeat": [{ "topic": "话题1", "score": 9.5 }],
"activeTimeline": "10:00-12:00 为最活跃时段",
"topSpeakers": [{ "name": "张三", "count": 58 }]
"topSpeakers": [{ "name": "张三", "count": 58 }],
"voiceLeaderboard": [{ "sender": "张三", "count": 3, "durationSec": 97 }]
},
"keywords": ["高频词1", "高频词2"]
"keywords": ["高频词1", "高频词2"],
"hero": {
"headline": "一句抓重点的日报标题",
"summary": "一句概览",
"keyTakeaway": "最重要结论",
"pendingNote": "待跟进事项"
}
},
"metadata": {
"groupName": "技术交流",
+1
View File
@@ -16,6 +16,7 @@ extraMetadata:
asarUnpack:
- resources/**
extraResources:
# Includes the optional WeChat connector binary for the target platform.
- from: resources
to: resources
filter:
+27 -8
View File
@@ -1,6 +1,6 @@
{
"name": "wechatexplorer",
"version": "2.1.1",
"version": "2.1.4",
"description": "macOS / Windows 微信聊天记录查看与 AI 群聊总结助手",
"keywords": [
"wechat",
@@ -25,23 +25,32 @@
"test:skill-install": "node scripts/test-skill-install-instruction.cjs",
"cp:env": "node scripts/ensure-env.cjs",
"prepare:env": "node scripts/ensure-env.cjs",
"predev": "node scripts/ensure-env.cjs",
"start": "electron-vite preview",
"dev": "electron-vite dev",
"build": "npm run typecheck && electron-vite build",
"dev": "node scripts/ensure-env.cjs && node scripts/build-wechat-connector.cjs && electron-vite dev",
"test:wechat-connector": "go -C services/wechat-connector test ./... && go -C services/wechat-connector vet ./...",
"build:wechat-connector": "node scripts/build-wechat-connector.cjs",
"build:wechat-connector:win": "node scripts/build-wechat-connector.cjs --platform win32 --arch x64,arm64",
"build:wechat-connector:mac": "node scripts/build-wechat-connector.cjs --platform darwin --arch x64,arm64",
"build:native-services": "npm run build:wechat-connector",
"build": "npm run typecheck && npm run build:native-services && electron-vite build",
"postinstall": "electron-builder install-app-deps && node scripts/prepare-electron-runtime.cjs",
"build:unpack": "npm run build && electron-builder --config electron-builder.yml --dir",
"build:win": "npm run build && electron-builder --config electron-builder.yml --win",
"build:mac:x64": "electron-vite build && electron-builder --config electron-builder.yml --mac --x64",
"build:mac:arm64": "electron-vite build && electron-builder --config electron-builder.yml --mac --arm64",
"release:mac": "electron-vite build && electron-builder --config electron-builder.yml --mac --x64 --arm64 --publish always",
"build:win": "npm run typecheck && npm run build:wechat-connector:win && electron-vite build && electron-builder --config electron-builder.yml --win --x64",
"build:mac:x64": "npm run typecheck && node scripts/build-wechat-connector.cjs --platform darwin --arch x64 && electron-vite build && electron-builder --config electron-builder.yml --mac --x64",
"build:mac:arm64": "npm run typecheck && node scripts/build-wechat-connector.cjs --platform darwin --arch arm64 && electron-vite build && electron-builder --config electron-builder.yml --mac --arm64",
"release": "npm run release:mac && npm run release:win",
"release:mac": "npm run typecheck && npm run build:wechat-connector:mac && electron-vite build && electron-builder --config electron-builder.yml --mac --x64 --arm64 --publish always",
"release:win": "npm run typecheck && npm run build:wechat-connector:win && electron-vite build && electron-builder --config electron-builder.yml --win --x64 --publish always",
"build:linux": "electron-vite build && electron-builder --config electron-builder.yml --linux"
},
"dependencies": {
"@electron-toolkit/preload": "^3.0.2",
"@electron-toolkit/utils": "^4.0.0",
"@koromix/koffi-win32-x64": "3.1.0",
"@tanstack/react-virtual": "^3.14.6",
"fs-extra": "^11.3.2",
"fzstd": "^0.1.1",
"jsonrepair": "^3.15.0",
"koffi": "^3.1.0",
"openai": "^6.10.0",
"silk-wasm": "^3.7.1",
@@ -71,6 +80,16 @@
"vite": "^7.2.6"
},
"pnpm": {
"supportedArchitectures": {
"os": [
"current",
"win32"
],
"cpu": [
"current",
"x64"
]
},
"onlyBuiltDependencies": [
"electron",
"esbuild"
+26 -4
View File
@@ -10,7 +10,9 @@ specifiers:
'@electron-toolkit/preload': ^3.0.2
'@electron-toolkit/tsconfig': ^2.0.0
'@electron-toolkit/utils': ^4.0.0
'@koromix/koffi-win32-x64': 3.1.0
'@rollup/rollup-darwin-arm64': ^4.62.2
'@tanstack/react-virtual': ^3.14.6
'@types/fs-extra': ^11.0.4
'@types/node': ^22.19.1
'@types/react': ^19.2.7
@@ -25,6 +27,7 @@ specifiers:
eslint-plugin-react-refresh: ^0.4.24
fs-extra: ^11.3.2
fzstd: ^0.1.1
jsonrepair: ^3.15.0
koffi: ^3.1.0
openai: ^6.10.0
prettier: ^3.7.4
@@ -38,8 +41,11 @@ specifiers:
dependencies:
'@electron-toolkit/preload': 3.0.2_electron@43.1.0
'@electron-toolkit/utils': 4.0.0_electron@43.1.0
'@koromix/koffi-win32-x64': 3.1.0
'@tanstack/react-virtual': 3.14.6_bokjwhiew3ov3ffvbmafuwoalq
fs-extra: 11.3.2
fzstd: 0.1.1
jsonrepair: 3.15.0
koffi: 3.1.0
openai: 6.10.0
silk-wasm: 3.7.1
@@ -887,7 +893,6 @@ packages:
cpu: [x64]
os: [win32]
dev: false
optional: true
/@malept/cross-spawn-promise/2.0.0:
resolution: {integrity: sha512-1DpKU0Z5ThltBwjNySMC14g0CkbyhCaz9FkhxqNsZI6uAPJXFS8cMXlBKo26FJ8ZuW6S9GCMcR9IO5k2X5/9Fg==}
@@ -1123,6 +1128,21 @@ packages:
defer-to-connect: 2.0.1
dev: true
/@tanstack/react-virtual/3.14.6_bokjwhiew3ov3ffvbmafuwoalq:
resolution: {integrity: sha512-4+Uq8m0/gzO4kMCHUEpTtGX1RnONK0C+g88b2ltwPMWUBiaVarBuWKoPJaz7gj1cKCVRAdyu+U8GcKhwCc2beA==}
peerDependencies:
react: ^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0
react-dom: ^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0
dependencies:
'@tanstack/virtual-core': 3.17.4
react: 19.2.1
react-dom: 19.2.1_react@19.2.1
dev: false
/@tanstack/virtual-core/3.17.4:
resolution: {integrity: sha512-nGm5KteqxasUdThLc2izl6dHUqLv0LQj7Nuyo5gYalTPf/U8a9ermvsl7reT+6ioBW1l8WfpP/mcU338nLXpqw==}
dev: false
/@tootallnate/once/2.0.0:
resolution: {integrity: sha512-XCuKFP5PS55gnMVu3dty8KPatLqUoy/ZYzDzAGCQ8JNFCkLXzmI7vNHCR+XpbZaMWQK/vQubr7PkYq8g470J/A==}
engines: {node: '>= 10'}
@@ -3413,6 +3433,11 @@ packages:
optionalDependencies:
graceful-fs: 4.2.11
/jsonrepair/3.15.0:
resolution: {integrity: sha512-wy8OTjwsJwQRnQJkKnMJJ9vcytRdBPAgIF/Hy6+s1dAj42BHMKiyL8JzEieIl3JY7idt8eyHwBWTO8mh/+mtwA==}
hasBin: true
dev: false
/jsx-ast-utils/3.3.5:
resolution: {integrity: sha512-ZZow9HBI5O6EPgSJLUb8n2NKgmVWTwCvHGwFuJlMjvLFqlGG6pjirPhtdsseaLZjSibD8eegzmYpUZwoIlj2cQ==}
engines: {node: '>=4.0'}
@@ -4036,7 +4061,6 @@ packages:
dependencies:
react: 19.2.1
scheduler: 0.27.0
dev: true
/react-is/16.13.1:
resolution: {integrity: sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==}
@@ -4050,7 +4074,6 @@ packages:
/react/19.2.1:
resolution: {integrity: sha512-DGrYcCWK7tvYMnWh79yrPHt+vdx9tY+1gPZa7nJQtO/p8bLTDaHp4dzwEhQB7pZ4Xe3ok4XKuEPrVuc+wlpkmw==}
engines: {node: '>=0.10.0'}
dev: true
/read-binary-file-arch/1.0.6:
resolution: {integrity: sha512-BNg9EN3DD3GsDXX7Aa8O4p92sryjkmzYYgmgTAc6CA4uGLEDzFfxOxugu21akOxpcXHiEgsYkC6nPsQvLLLmEg==}
@@ -4233,7 +4256,6 @@ packages:
/scheduler/0.27.0:
resolution: {integrity: sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q==}
dev: true
/semver/5.7.2:
resolution: {integrity: sha512-cBznnQ9KjJqU67B52RMC65CMarK2600WFnbkcaiwWq3xy/5haFJlshgnpjovMVJ+Hff49d8GEn0b87C5pDQ10g==}
Binary file not shown.

Before

Width:  |  Height:  |  Size: 583 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 157 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 152 KiB

+449 -108
View File
@@ -27,13 +27,13 @@
.report {
width: 430px;
margin: 0 auto;
padding: 22px 14px 34px;
padding: 20px 14px 34px;
}
.hero,
.card,
.section {
.section,
.card {
background: #fff;
border-radius: 16px;
border-radius: 18px;
box-shadow: 0 8px 24px rgba(15, 23, 42, 0.06);
}
.hero {
@@ -41,32 +41,35 @@
}
.hero-top {
display: flex;
align-items: center;
align-items: flex-start;
justify-content: space-between;
gap: 14px;
min-width: 0;
}
.hero-top > div:first-child {
min-width: 0;
flex: 1 1 auto;
}
.hero h1 {
margin: 0;
font-size: 23px;
line-height: 1.2;
margin: 0 0 8px;
font-weight: 900;
}
.sub {
margin-top: 8px;
color: #667085;
font-size: 13px;
line-height: 1.5;
line-height: 1.55;
}
.record-note {
color: #485465;
font-weight: 650;
}
.overview {
margin-top: 2px;
.mode-tag {
display: inline-flex;
margin-top: 10px;
padding: 4px 10px;
border-radius: 999px;
background: #eef8f2;
color: #07a352;
font-size: 11px;
font-weight: 800;
}
.avatar-grid {
width: 58px;
@@ -83,6 +86,49 @@
border-radius: 50%;
object-fit: cover;
}
.hero-headline {
margin-top: 14px;
padding: 14px;
border-radius: 16px;
background: linear-gradient(135deg, #edf9f1 0%, #f7fbf8 100%);
}
.hero-headline b {
display: block;
font-size: 17px;
color: #076c39;
}
.hero-headline p {
margin: 8px 0 0;
font-size: 13px;
line-height: 1.65;
color: #1f2933;
}
.hero-inline-notes {
display: grid;
gap: 8px;
margin-top: 10px;
}
.hero-note,
.hero-status {
padding: 10px 12px;
border-radius: 12px;
font-size: 12px;
line-height: 1.5;
}
.hero-status {
margin-top: 10px;
background: #f7faf9;
color: #076c39;
font-weight: 700;
}
.hero-note.takeaway {
background: #eef8f2;
color: #076c39;
}
.hero-note.pending {
background: #fff8e8;
color: #8a5a00;
}
.stats {
display: grid;
grid-template-columns: repeat(4, 1fr);
@@ -94,14 +140,11 @@
border-radius: 12px;
padding: 10px 6px;
text-align: center;
min-width: 0;
overflow: hidden;
}
.stat b {
display: block;
font-size: 18px;
color: #07a352;
white-space: nowrap;
line-height: 1.25;
}
.stat span {
@@ -109,16 +152,16 @@
color: #667085;
}
.section {
margin-top: 14px;
margin-top: 18px;
padding: 18px;
}
.section-title {
display: flex;
align-items: center;
gap: 8px;
font-size: 18px;
margin-bottom: 14px;
font-size: 19px;
font-weight: 900;
margin-bottom: 12px;
}
.section-title::before {
content: '';
@@ -127,11 +170,23 @@
border-radius: 99px;
background: #07c160;
}
.section-subtitle {
margin: 10px 0 6px;
color: #667085;
font-size: 12px;
font-weight: 700;
}
.section-more {
margin-top: 10px;
color: #98a2b3;
font-size: 11px;
text-align: right;
}
.card {
padding: 14px;
margin-top: 10px;
box-shadow: none;
border: 1px solid #edf0f2;
box-shadow: none;
}
.topic-title-row {
display: flex;
@@ -140,17 +195,17 @@
gap: 8px;
}
.topic-title-row h3 {
margin: 0;
font-size: 16px;
line-height: 1.35;
margin: 0;
font-weight: 850;
}
.heat,
.tag {
display: inline-flex;
align-items: center;
border-radius: 999px;
padding: 4px 8px;
border-radius: 999px;
background: #eef8f2;
color: #07a352;
font-size: 11px;
@@ -165,19 +220,44 @@
background: #eef5ff;
color: #1677ff;
}
.red {
background: #fff1f0;
color: #ff4d4f;
}
.topic-meta {
margin-top: 6px;
color: #8a94a6;
font-size: 12px;
}
.card p {
margin: 10px 0 0;
font-size: 13px;
line-height: 1.65;
margin: 10px 0 0;
}
.topic-conclusions {
display: grid;
gap: 8px;
margin-top: 10px;
}
.topic-conclusion {
padding: 8px 10px;
border-radius: 10px;
background: #edf9f1;
color: #076c39;
font-size: 12px;
line-height: 1.5;
font-weight: 700;
}
.topic-inline-image {
display: grid;
grid-template-columns: 76px 1fr;
gap: 10px;
margin-top: 10px;
padding: 10px;
border-radius: 12px;
background: #f7faf9;
}
.topic-inline-image img {
width: 76px;
height: 76px;
border-radius: 10px;
object-fit: cover;
}
.participants {
display: flex;
@@ -189,7 +269,6 @@
display: inline-flex;
align-items: center;
gap: 5px;
min-width: 0;
background: #f6f8fa;
border-radius: 999px;
padding: 3px 8px 3px 3px;
@@ -198,7 +277,6 @@
width: 24px;
height: 24px;
border-radius: 50%;
object-fit: cover;
}
.person-chip b {
max-width: 58px;
@@ -220,17 +298,6 @@
background: #f2f4f7;
color: #667085;
}
.resource {
padding: 11px 12px;
background: #f7f8fa;
border-radius: 12px;
margin-top: 8px;
font-size: 13px;
line-height: 1.55;
}
.resource b {
color: #1677ff;
}
.important-card {
display: flex;
gap: 10px;
@@ -255,9 +322,9 @@
color: #1f2933;
}
.important-text {
margin-top: 5px;
font-size: 13px;
line-height: 1.55;
margin-top: 5px;
}
.important-note {
margin-top: 8px;
@@ -269,6 +336,34 @@
font-size: 12px;
line-height: 1.45;
}
.action-grid {
display: grid;
gap: 10px;
}
.action-card {
border-radius: 14px;
padding: 12px;
}
.todo-card {
background: #eef5ff;
}
.unresolved-card {
background: #fff8e8;
}
.action-card b {
display: block;
color: #1f2933;
font-size: 14px;
}
.action-card div {
margin-top: 6px;
font-size: 12px;
line-height: 1.55;
color: #485465;
}
.action-note {
color: #667085;
}
.chat-block {
background: #f0f2f5;
border-radius: 14px;
@@ -299,49 +394,180 @@
line-height: 1.5;
}
.quote-note {
background: #fff8e1;
border-radius: 10px;
padding: 9px 10px;
margin-top: 10px;
padding: 9px 10px;
border-radius: 10px;
background: #fff8e1;
color: #8a5a00;
font-size: 12px;
line-height: 1.5;
}
.qa-card {
background: #f8fafc;
border-radius: 14px;
padding: 12px;
.qa-card,
.resource {
margin-top: 10px;
padding: 12px;
border-radius: 14px;
background: #f8fafc;
}
.qa-card b {
.qa-card b,
.resource b {
display: block;
color: #1f2933;
margin-bottom: 5px;
}
.qa-card div {
.qa-card div,
.resource {
font-size: 13px;
line-height: 1.55;
color: #485465;
}
.bar-row {
.storyline-card,
.chain-card {
background: #f8fafc;
}
.storyline-steps {
display: grid;
grid-template-columns: 82px 1fr;
gap: 8px;
align-items: center;
margin-top: 9px;
margin-top: 10px;
}
.storyline-step {
display: grid;
grid-template-columns: 50px 1fr;
gap: 10px;
}
.storyline-step span {
color: #8a94a6;
font-size: 12px;
}
.bar {
height: 10px;
background: #edf1f5;
border-radius: 999px;
overflow: hidden;
.storyline-step b {
font-size: 13px;
line-height: 1.5;
}
.bar i {
display: block;
height: 100%;
background: #07c160;
.chain-flow {
display: flex;
flex-wrap: wrap;
gap: 6px;
align-items: center;
margin-top: 10px;
}
.chain-flow span {
display: inline-flex;
align-items: center;
padding: 6px 9px;
border-radius: 999px;
background: #eef8f2;
color: #076c39;
font-size: 12px;
font-weight: 700;
}
.chain-flow i {
font-style: normal;
color: #98a2b3;
}
.gallery-card {
display: grid;
grid-template-columns: 112px 1fr;
gap: 12px;
margin-top: 10px;
padding: 12px;
background: #f7faf9;
border-radius: 14px;
}
.gallery-image {
width: 112px;
height: 112px;
border-radius: 12px;
object-fit: cover;
background: #e5e7eb;
}
.gallery-stats {
display: inline-flex;
margin-top: 7px;
padding: 4px 8px;
border-radius: 999px;
background: #eef5ff;
color: #1677ff;
font-size: 11px;
font-weight: 700;
}
.badge-grid {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 10px;
}
/* AI 图片识别板块 */
.vision-card {
display: grid;
grid-template-columns: 132px 1fr;
gap: 14px;
margin-top: 10px;
padding: 12px;
background: linear-gradient(135deg, #edf9f1 0%, #f7fbf8 100%);
border: 1px solid #d6efde;
border-radius: 14px;
}
.vision-image {
width: 132px;
height: 132px;
border-radius: 12px;
object-fit: cover;
background: #e5e7eb;
}
.vision-description {
margin-top: 6px;
font-size: 13px;
line-height: 1.5;
color: #1f2933;
}
.vision-ocr {
margin-top: 6px;
padding: 6px 10px;
background: #eef5ff;
color: #1677ff;
font-size: 11px;
border-radius: 8px;
word-break: break-all;
}
.vision-tags {
margin-top: 8px;
display: flex;
flex-wrap: wrap;
gap: 4px;
}
.vision-tag {
display: inline-block;
padding: 3px 8px;
background: #07c160;
color: #fff;
font-size: 10px;
font-weight: 700;
border-radius: 999px;
}
.vision-label {
margin-top: 6px;
font-size: 10px;
color: #07a352;
font-weight: 600;
}
.badge-card {
background: linear-gradient(180deg, #fdfdfd 0%, #f6fbf8 100%);
border: 1px solid #edf0f2;
border-radius: 14px;
padding: 12px;
}
.badge-card b {
display: block;
margin-top: 8px;
font-size: 15px;
}
.badge-card p {
margin: 8px 0 0;
font-size: 12px;
line-height: 1.55;
}
.data-grid {
display: grid;
gap: 12px;
}
.rank {
display: flex;
@@ -350,6 +576,9 @@
padding: 9px 0;
border-bottom: 1px solid #eef0f2;
}
.rank:last-child {
border-bottom: none;
}
.rank img {
width: 30px;
height: 30px;
@@ -402,7 +631,58 @@
color: #8a94a6;
}
.empty-section {
display: none;
display: none !important;
}
.compact .report {
padding-top: 18px;
}
.compact .section {
margin-top: 12px;
padding: 14px;
}
.compact .card {
padding: 11px;
}
.compact .important-card,
.compact .gallery-card,
.compact .chat-block {
padding: 10px;
}
.compact .section-title {
margin-bottom: 9px;
font-size: 17px;
}
.compact .hero-headline p,
.compact .card p,
.compact .important-text,
.compact .chat-bubble {
line-height: 1.5;
}
.compact .participants,
.compact .keywords,
.compact .hero-inline-notes {
gap: 6px;
}
.compact .topic-conclusions {
gap: 6px;
}
.compact .topic-inline-image {
grid-template-columns: 64px 1fr;
padding: 8px;
}
.compact .topic-inline-image img {
width: 64px;
height: 64px;
}
.compact .stats {
gap: 6px;
margin-top: 14px;
}
.compact .stat {
padding: 8px 6px;
}
.compact .stat b {
font-size: 17px;
}
@media (max-width: 430px) {
html,
@@ -414,83 +694,144 @@
padding-left: 12px;
padding-right: 12px;
}
.stats {
gap: 6px;
}
.stat b {
font-size: 16px;
}
}
</style>
</head>
<body>
<body class="{{REPORT_MODE_CLASS}}">
<main class="report">
<header class="hero">
<div class="hero-top">
<div>
<h1>{{GROUP_NAME}}日报</h1>
<div class="sub">
<div>{{DATE_RANGE}}</div>
<div class="record-note">{{RECORD_NOTE}}</div>
<div class="overview">{{OVERVIEW}}</div>
</div>
<div class="sub">{{DATE_RANGE}}<br />{{RECORD_NOTE}}</div>
<div class="mode-tag">{{REPORT_MODE_LABEL}}</div>
</div>
<div class="avatar-grid">{{HERO_AVATARS}}</div>
</div>
<div class="hero-headline">
<b>{{HERO_HEADLINE}}</b>
<p>{{HERO_SUMMARY}}</p>
</div>
<div class="hero-status {{HERO_STATUS_EMPTY_CLASS}}">{{HERO_STATUS_LINE}}</div>
<div class="hero-inline-notes">
<div class="hero-note takeaway {{HERO_TAKEAWAY_EMPTY_CLASS}}">{{HERO_TAKEAWAY}}</div>
<div class="hero-note pending {{HERO_PENDING_EMPTY_CLASS}}">{{HERO_PENDING}}</div>
</div>
<div class="stats">
<div class="stat"><b>{{MESSAGE_COUNT}}</b><span>消息数</span></div>
<div class="stat"><b>{{ACTIVE_USERS}}</b><span>活跃人数</span></div>
<div class="stat"><b>{{TIME_SPAN}}</b><span>持续时长</span></div>
<div class="stat"><b>{{TOPIC_COUNT}}</b><span>主要话题</span></div>
<div class="stat"><b>{{TOPIC_COUNT}}</b><span>话题数</span></div>
<div class="stat"><b>{{MEDIA_COUNT}}</b><span>媒体消息</span></div>
</div>
</header>
<section class="section topics">
<section class="section {{TOPICS_EMPTY_CLASS}}">
<div class="section-title">今日讨论热点</div>
{{TOPIC_CARDS}}
{{TOPICS_MORE_NOTE}}
</section>
<section class="section resources {{RESOURCES_EMPTY_CLASS}}">
<section class="section {{MESSAGES_EMPTY_CLASS}}">
<div class="section-title">重要消息</div>
{{IMPORTANT_MESSAGES}}
{{MESSAGES_MORE_NOTE}}
</section>
<section class="section {{ACTIONS_EMPTY_CLASS}}">
<div class="section-title">待办事项和未解决问题</div>
<div class="section-subtitle {{TODO_EMPTY_CLASS}}">待办事项</div>
<div class="action-grid {{TODO_EMPTY_CLASS}}">{{TODO_CARDS}}</div>
<div class="section-subtitle {{UNRESOLVED_EMPTY_CLASS}}">尚未解决</div>
<div class="action-grid {{UNRESOLVED_EMPTY_CLASS}}">{{UNRESOLVED_CARDS}}</div>
{{ACTIONS_MORE_NOTE}}
</section>
<section class="section {{QUOTES_EMPTY_CLASS}}">
<div class="section-title">今日名场面</div>
{{QUOTE_BLOCKS}}
{{QUOTES_MORE_NOTE}}
</section>
<section class="section {{ANALYTICS_EMPTY_CLASS}}">
<div class="section-title">今日群数据</div>
<div class="data-grid">
<div class="card">
<div class="muted" style="font-size: 12px; margin-bottom: 6px">话唠榜 TOP5</div>
{{RANK_ITEMS}}
</div>
<div class="card">
<p><b>最活跃时段:</b>{{ACTIVITY_TIMELINE}}</p>
<p><b>今日状态:</b>形成 {{CONCLUSION_COUNT}} 个结论,待办 {{TODO_COUNT}} 项,未解决 {{UNRESOLVED_COUNT}} 项。</p>
</div>
</div>
</section>
<section class="section {{KEYWORDS_EMPTY_CLASS}}">
<div class="section-title">关键词</div>
<div class="cloud-tags">{{CLOUD_TAGS}}</div>
{{KEYWORDS_MORE_NOTE}}
</section>
<section class="section {{RESOURCES_EMPTY_CLASS}}">
<div class="section-title">实用信息与资源</div>
{{RESOURCE_ITEMS}}
{{RESOURCES_MORE_NOTE}}
</section>
<section class="section messages {{MESSAGES_EMPTY_CLASS}}">
<div class="section-title">重要消息汇总</div>
{{IMPORTANT_MESSAGES}}
</section>
<section class="section quotes {{QUOTES_EMPTY_CLASS}}">
<div class="section-title">有趣对话或金句</div>
{{QUOTE_BLOCKS}}
</section>
<section class="section qa {{QA_EMPTY_CLASS}}">
<section class="section {{QA_EMPTY_CLASS}}">
<div class="section-title">问题与解答</div>
{{QA_CARDS}}
{{QA_MORE_NOTE}}
</section>
<section class="section analytics">
<div class="section-title">群内数据可视化</div>
{{HEAT_BARS}}
<div class="card">
<div class="muted" style="font-size: 12px; margin-bottom: 6px">
话唠榜 TOP5(基于已读取记录估算)
</div>
{{RANK_ITEMS}}
</div>
<div class="card">
<p><b>活跃时间线:</b>{{ACTIVITY_TIMELINE}}</p>
</div>
<section class="section {{STORYLINES_EMPTY_CLASS}}">
<div class="section-title">今日剧情时间线</div>
{{STORYLINE_CARDS}}
{{STORYLINES_MORE_NOTE}}
</section>
<section class="section cloud">
<div class="section-title">词云/关键词</div>
<div class="cloud-tags">{{CLOUD_TAGS}}</div>
<section class="section {{REVERSALS_EMPTY_CLASS}}">
<div class="section-title">群聊反转现场</div>
{{REVERSAL_CARDS}}
{{REVERSALS_MORE_NOTE}}
</section>
<section class="section {{VISION_EMPTY_CLASS}}">
<div class="section-title">{{VISION_TITLE}}</div>
{{VISION_CARDS}}
</section>
<section class="section {{GALLERY_EMPTY_CLASS}}">
<div class="section-title">今日群相册</div>
{{GALLERY_CARDS}}
{{GALLERY_MORE_NOTE}}
</section>
<section class="section {{VOICE_EMPTY_CLASS}}">
<div class="section-title">语音之最</div>
{{VOICE_CARDS}}
{{VOICE_MORE_NOTE}}
</section>
<section class="section {{VOICE_RANK_EMPTY_CLASS}}">
<div class="section-title">语音时长榜</div>
<div class="card">{{VOICE_RANK_CARDS}}</div>
</section>
<section class="section {{BADGES_EMPTY_CLASS}}">
<div class="section-title">今日临时人设</div>
<div class="badge-grid">{{BADGE_CARDS}}</div>
{{BADGES_MORE_NOTE}}
</section>
<section class="section {{CHAINS_EMPTY_CLASS}}">
<div class="section-title">话题参与链路</div>
{{CHAIN_CARDS}}
{{CHAINS_MORE_NOTE}}
</section>
<footer class="footer">
数据来源:WechatExplorer · 微信群聊记录<br />
数据来源:微信群聊记录<br />
生成时间:{{GENERATED_AT}}<br />
{{FOOTER_NOTE}}
</footer>
+592
View File
@@ -0,0 +1,592 @@
<!doctype html>
<html lang="zh-CN">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width,initial-scale=1" />
<title>{{REPORT_TITLE}}</title>
<style>
* {
box-sizing: border-box;
}
::-webkit-scrollbar {
width: 0;
height: 0;
}
html {
width: 430px;
scrollbar-width: none;
}
body {
margin: 0;
width: 430px;
background: #f3f5f7;
color: #1f2933;
font-family:
-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Microsoft YaHei', sans-serif;
}
.report {
width: 430px;
margin: 0 auto;
padding: 22px 14px 34px;
}
.hero,
.card,
.section {
background: #fff;
border-radius: 16px;
box-shadow: 0 8px 24px rgba(15, 23, 42, 0.06);
}
.hero {
padding: 20px;
}
.hero-top {
display: flex;
align-items: center;
justify-content: space-between;
gap: 14px;
min-width: 0;
}
.hero-top > div:first-child {
min-width: 0;
flex: 1 1 auto;
}
.hero h1 {
font-size: 23px;
line-height: 1.2;
margin: 0 0 8px;
font-weight: 900;
}
.sub {
color: #667085;
font-size: 13px;
line-height: 1.5;
}
.record-note {
color: #485465;
font-weight: 650;
}
.overview {
margin-top: 2px;
}
.avatar-grid {
width: 58px;
height: 58px;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 3px;
flex: 0 0 auto;
}
.avatar-grid img,
.avatar {
width: 100%;
height: 100%;
border-radius: 50%;
object-fit: cover;
}
.stats {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 8px;
margin-top: 16px;
}
.stat {
background: #f7faf9;
border-radius: 12px;
padding: 10px 6px;
text-align: center;
min-width: 0;
overflow: hidden;
}
.stat b {
display: block;
font-size: 18px;
color: #07a352;
white-space: nowrap;
line-height: 1.25;
}
.stat span {
font-size: 11px;
color: #667085;
}
.section {
margin-top: 14px;
padding: 18px;
}
.section-title {
display: flex;
align-items: center;
gap: 8px;
font-size: 18px;
font-weight: 900;
margin-bottom: 12px;
}
.section-title::before {
content: '';
width: 5px;
height: 20px;
border-radius: 99px;
background: #07c160;
}
.card {
padding: 14px;
margin-top: 10px;
box-shadow: none;
border: 1px solid #edf0f2;
}
.topic-title-row {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 8px;
}
.topic-title-row h3 {
font-size: 16px;
line-height: 1.35;
margin: 0;
font-weight: 850;
}
.heat,
.tag {
display: inline-flex;
align-items: center;
border-radius: 999px;
padding: 4px 8px;
background: #eef8f2;
color: #07a352;
font-size: 11px;
font-weight: 800;
white-space: nowrap;
}
.hot {
background: #fff4e5;
color: #d46b08;
}
.blue {
background: #eef5ff;
color: #1677ff;
}
.red {
background: #fff1f0;
color: #ff4d4f;
}
.topic-meta {
margin-top: 6px;
color: #8a94a6;
font-size: 12px;
}
.card p {
font-size: 13px;
line-height: 1.65;
margin: 10px 0 0;
}
.participants {
display: flex;
flex-wrap: wrap;
gap: 8px;
margin-top: 10px;
}
.person-chip {
display: inline-flex;
align-items: center;
gap: 5px;
min-width: 0;
background: #f6f8fa;
border-radius: 999px;
padding: 3px 8px 3px 3px;
}
.person-chip img {
width: 24px;
height: 24px;
border-radius: 50%;
object-fit: cover;
}
.person-chip b {
max-width: 58px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
font-size: 11px;
}
.keywords {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 10px;
}
.keywords span {
font-size: 11px;
padding: 4px 8px;
border-radius: 999px;
background: #f2f4f7;
color: #667085;
}
.resource {
padding: 11px 12px;
background: #f7f8fa;
border-radius: 12px;
margin-top: 8px;
font-size: 13px;
line-height: 1.55;
}
.resource b {
color: #1677ff;
}
.important-card {
display: flex;
gap: 10px;
background: #f7faf9;
border-radius: 14px;
padding: 12px;
margin-top: 10px;
}
.important-card > .avatar {
width: 36px;
height: 36px;
flex: 0 0 auto;
}
.important-meta {
display: flex;
justify-content: space-between;
gap: 8px;
font-size: 12px;
color: #667085;
}
.important-meta b {
color: #1f2933;
}
.important-text {
font-size: 13px;
line-height: 1.55;
margin-top: 5px;
}
.important-note {
margin-top: 8px;
padding: 7px 9px;
border-left: 3px solid #07c160;
background: #fff;
border-radius: 8px;
color: #07a352;
font-size: 12px;
line-height: 1.45;
}
.chat-block {
background: #f0f2f5;
border-radius: 14px;
padding: 12px;
margin-top: 10px;
}
.chat-msg {
display: flex;
gap: 8px;
margin-top: 8px;
}
.chat-avatar {
width: 32px;
height: 32px;
border-radius: 50%;
object-fit: cover;
}
.chat-name {
font-size: 11px;
color: #667085;
margin-bottom: 4px;
}
.chat-bubble {
background: #fff;
border-radius: 4px 12px 12px 12px;
padding: 9px 10px;
font-size: 13px;
line-height: 1.5;
}
.quote-note {
background: #fff8e1;
border-radius: 10px;
padding: 9px 10px;
margin-top: 10px;
color: #8a5a00;
font-size: 12px;
line-height: 1.5;
}
.qa-card {
background: #f8fafc;
border-radius: 14px;
padding: 12px;
margin-top: 10px;
}
.qa-card b {
display: block;
color: #1f2933;
margin-bottom: 5px;
}
.qa-card div {
font-size: 13px;
line-height: 1.55;
color: #485465;
}
.bar-row {
display: grid;
grid-template-columns: 82px 1fr;
gap: 8px;
align-items: center;
margin-top: 9px;
font-size: 12px;
}
.bar {
height: 10px;
background: #edf1f5;
border-radius: 999px;
overflow: hidden;
}
.bar i {
display: block;
height: 100%;
background: #07c160;
border-radius: 999px;
}
.rank {
display: flex;
align-items: center;
gap: 9px;
padding: 9px 0;
border-bottom: 1px solid #eef0f2;
}
.rank img {
width: 30px;
height: 30px;
border-radius: 50%;
object-fit: cover;
}
.rank b {
font-size: 13px;
}
.rank span {
margin-left: auto;
color: #8a94a6;
font-size: 12px;
}
.cloud-tags {
display: flex;
flex-wrap: wrap;
gap: 8px;
}
.cloud-tags span {
padding: 6px 10px;
border-radius: 999px;
background: #f2f4f7;
color: #485465;
font-weight: 800;
}
.cloud-tags .xl {
font-size: 20px;
color: #07a352;
background: #e9f8ef;
}
.cloud-tags .lg {
font-size: 17px;
color: #1677ff;
background: #eef5ff;
}
.cloud-tags .md {
font-size: 15px;
color: #d46b08;
background: #fff4e5;
}
.footer {
padding: 16px 4px 0;
color: #98a2b3;
text-align: center;
font-size: 11px;
line-height: 1.8;
}
.muted {
color: #8a94a6;
}
.empty-section {
display: none;
}
@media (max-width: 430px) {
html,
body {
width: 100%;
}
.report {
width: 100%;
padding-left: 12px;
padding-right: 12px;
}
.stats {
gap: 6px;
}
.stat b {
font-size: 16px;
}
}
/* AI 图片识别板块(v1 模板) */
.vision-card {
display: grid;
grid-template-columns: 132px 1fr;
gap: 14px;
margin-top: 10px;
padding: 12px;
background: linear-gradient(135deg, #edf9f1 0%, #f7fbf8 100%);
border: 1px solid #d6efde;
border-radius: 14px;
}
.vision-image {
width: 132px;
height: 132px;
border-radius: 12px;
object-fit: cover;
background: #e5e7eb;
}
.vision-description {
margin-top: 6px;
font-size: 13px;
line-height: 1.5;
color: #1f2933;
}
.vision-ocr {
margin-top: 6px;
padding: 6px 10px;
background: #eef5ff;
color: #1677ff;
font-size: 11px;
border-radius: 8px;
word-break: break-all;
}
.vision-tags {
margin-top: 8px;
display: flex;
flex-wrap: wrap;
gap: 4px;
}
.vision-tag {
display: inline-block;
padding: 3px 8px;
background: #07c160;
color: #fff;
font-size: 10px;
font-weight: 700;
border-radius: 999px;
}
.vision-label {
margin-top: 6px;
font-size: 10px;
color: #07a352;
font-weight: 600;
}
/* 热度条形图(v1 模板) */
.heat-row {
display: grid;
grid-template-columns: 80px 1fr 40px;
align-items: center;
gap: 10px;
margin-top: 8px;
font-size: 12px;
}
.heat-name {
color: #1f2933;
font-weight: 600;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.heat-bar {
background: #f3f5f7;
border-radius: 999px;
height: 10px;
overflow: hidden;
}
.heat-bar i {
display: block;
height: 100%;
background: linear-gradient(90deg, #07c160 0%, #34d399 100%);
border-radius: 999px;
}
.heat-val {
color: #485465;
font-weight: 700;
font-size: 11px;
text-align: right;
}
</style>
</head>
<body>
<main class="report">
<header class="hero">
<div class="hero-top">
<div>
<h1>{{GROUP_NAME}}日报</h1>
<div class="sub">
<div>{{DATE_RANGE}}</div>
<div class="record-note">{{RECORD_NOTE}}</div>
<div class="overview">{{OVERVIEW}}</div>
</div>
</div>
<div class="avatar-grid">{{HERO_AVATARS}}</div>
</div>
<div class="stats">
<div class="stat"><b>{{MESSAGE_COUNT}}</b><span>消息数</span></div>
<div class="stat"><b>{{ACTIVE_USERS}}</b><span>活跃人数</span></div>
<div class="stat"><b>{{TIME_SPAN}}</b><span>持续时长</span></div>
<div class="stat"><b>{{TOPIC_COUNT}}</b><span>主要话题</span></div>
</div>
</header>
<section class="section topics">
<div class="section-title">今日讨论热点</div>
{{TOPIC_CARDS}}
</section>
<section class="section vision {{VISION_EMPTY_CLASS}}">
<div class="section-title">{{VISION_TITLE}}</div>
{{VISION_CARDS}}
</section>
<section class="section resources {{RESOURCES_EMPTY_CLASS}}">
<div class="section-title">实用信息与资源</div>
{{RESOURCE_ITEMS}}
</section>
<section class="section messages {{MESSAGES_EMPTY_CLASS}}">
<div class="section-title">重要消息汇总</div>
{{IMPORTANT_MESSAGES}}
</section>
<section class="section quotes {{QUOTES_EMPTY_CLASS}}">
<div class="section-title">有趣对话或金句</div>
{{QUOTE_BLOCKS}}
</section>
<section class="section qa {{QA_EMPTY_CLASS}}">
<div class="section-title">问题与解答</div>
{{QA_CARDS}}
</section>
<section class="section analytics">
<div class="section-title">群内数据可视化</div>
{{HEAT_BARS}}
<div class="card">
<div class="muted" style="font-size: 12px; margin-bottom: 6px">
话唠榜 TOP5(基于已读取记录估算)
</div>
{{RANK_ITEMS}}
</div>
<div class="card">
<p><b>活跃时间线:</b>{{ACTIVITY_TIMELINE}}</p>
</div>
</section>
<section class="section cloud">
<div class="section-title">词云/关键词</div>
<div class="cloud-tags">{{CLOUD_TAGS}}</div>
</section>
<footer class="footer">
数据来源:WechatExplorer · 微信群聊记录<br />
生成时间:{{GENERATED_AT}}<br />
{{FOOTER_NOTE}}
</footer>
</main>
</body>
</html>
+829
View File
@@ -0,0 +1,829 @@
<!doctype html>
<html lang="zh-CN">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width,initial-scale=1" />
<title>{{REPORT_TITLE}}</title>
<style>
* {
box-sizing: border-box;
}
::-webkit-scrollbar {
width: 0;
height: 0;
}
html {
width: 430px;
scrollbar-width: none;
}
body {
margin: 0;
width: 430px;
background: #f3f5f7;
color: #1f2933;
font-family:
-apple-system, BlinkMacSystemFont, 'PingFang SC', 'Microsoft YaHei', sans-serif;
}
.report {
width: 430px;
margin: 0 auto;
padding: 20px 14px 34px;
}
.hero,
.section,
.card {
background: #fff;
border-radius: 18px;
box-shadow: 0 8px 24px rgba(15, 23, 42, 0.06);
}
.hero {
padding: 20px;
}
.hero-top {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 14px;
}
.hero-top > div:first-child {
min-width: 0;
flex: 1 1 auto;
}
.hero h1 {
margin: 0;
font-size: 23px;
line-height: 1.2;
font-weight: 900;
}
.sub {
margin-top: 8px;
color: #667085;
font-size: 13px;
line-height: 1.55;
}
.avatar-grid {
width: 58px;
height: 58px;
display: grid;
grid-template-columns: 1fr 1fr;
gap: 3px;
flex: 0 0 auto;
}
.avatar-grid img,
.avatar {
width: 100%;
height: 100%;
border-radius: 50%;
object-fit: cover;
}
.hero-headline {
margin-top: 14px;
padding: 14px;
border-radius: 16px;
background: linear-gradient(135deg, #edf9f1 0%, #f7fbf8 100%);
}
.hero-headline b {
display: block;
font-size: 17px;
color: #076c39;
}
.hero-headline p {
margin: 8px 0 0;
font-size: 13px;
line-height: 1.65;
color: #1f2933;
}
.hero-inline-notes {
display: grid;
gap: 8px;
margin-top: 10px;
}
.hero-note,
.hero-status {
padding: 10px 12px;
border-radius: 12px;
font-size: 12px;
line-height: 1.5;
}
.hero-status {
margin-top: 10px;
background: #f7faf9;
color: #076c39;
font-weight: 700;
}
.hero-note.takeaway {
background: #eef8f2;
color: #076c39;
}
.hero-note.pending {
background: #fff8e8;
color: #8a5a00;
}
.stats {
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 8px;
margin-top: 16px;
}
.stat {
background: #f7faf9;
border-radius: 12px;
padding: 10px 6px;
text-align: center;
}
.stat b {
display: block;
font-size: 18px;
color: #07a352;
line-height: 1.25;
}
.stat span {
font-size: 11px;
color: #667085;
}
.section {
margin-top: 18px;
padding: 18px;
}
.section-title {
display: flex;
align-items: center;
gap: 8px;
margin-bottom: 14px;
font-size: 19px;
font-weight: 900;
}
.section-title::before {
content: '';
width: 5px;
height: 20px;
border-radius: 99px;
background: #07c160;
}
.section-subtitle {
margin: 10px 0 6px;
color: #667085;
font-size: 12px;
font-weight: 700;
}
.section-more {
margin-top: 10px;
color: #98a2b3;
font-size: 11px;
text-align: right;
}
.card {
padding: 14px;
margin-top: 10px;
border: 1px solid #edf0f2;
box-shadow: none;
}
.topic-title-row {
display: flex;
align-items: flex-start;
justify-content: space-between;
gap: 8px;
}
.topic-title-row h3 {
margin: 0;
font-size: 16px;
line-height: 1.35;
font-weight: 850;
}
.heat,
.tag {
display: inline-flex;
align-items: center;
padding: 4px 8px;
border-radius: 999px;
background: #eef8f2;
color: #07a352;
font-size: 11px;
font-weight: 800;
white-space: nowrap;
}
.hot {
background: #fff4e5;
color: #d46b08;
}
.blue {
background: #eef5ff;
color: #1677ff;
}
.topic-meta {
margin-top: 6px;
color: #8a94a6;
font-size: 12px;
}
.card p {
margin: 10px 0 0;
font-size: 13px;
line-height: 1.65;
}
.topic-conclusions {
display: grid;
gap: 8px;
margin-top: 10px;
}
.topic-conclusion {
padding: 8px 10px;
border-radius: 10px;
background: #edf9f1;
color: #076c39;
font-size: 12px;
line-height: 1.5;
font-weight: 700;
}
.topic-inline-image {
display: grid;
grid-template-columns: 76px 1fr;
gap: 10px;
margin-top: 10px;
padding: 10px;
border-radius: 12px;
background: #f7faf9;
}
.topic-inline-image img {
width: 76px;
height: 76px;
border-radius: 10px;
object-fit: cover;
}
.participants {
display: flex;
flex-wrap: wrap;
gap: 8px;
margin-top: 10px;
}
.person-chip {
display: inline-flex;
align-items: center;
gap: 5px;
background: #f6f8fa;
border-radius: 999px;
padding: 3px 8px 3px 3px;
}
.person-chip img {
width: 24px;
height: 24px;
border-radius: 50%;
}
.person-chip b {
max-width: 58px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
font-size: 11px;
}
.keywords {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 10px;
}
.keywords span {
font-size: 11px;
padding: 4px 8px;
border-radius: 999px;
background: #f2f4f7;
color: #667085;
}
.important-card {
display: flex;
gap: 10px;
background: #f7faf9;
border-radius: 14px;
padding: 12px;
margin-top: 10px;
}
.important-card > .avatar {
width: 36px;
height: 36px;
flex: 0 0 auto;
}
.important-meta {
display: flex;
justify-content: space-between;
gap: 8px;
font-size: 12px;
color: #667085;
}
.important-meta b {
color: #1f2933;
}
.important-text {
margin-top: 5px;
font-size: 13px;
line-height: 1.55;
}
.important-note {
margin-top: 8px;
padding: 7px 9px;
border-left: 3px solid #07c160;
background: #fff;
border-radius: 8px;
color: #07a352;
font-size: 12px;
line-height: 1.45;
}
.action-grid {
display: grid;
gap: 10px;
}
.action-card {
border-radius: 14px;
padding: 12px;
}
.todo-card {
background: #eef5ff;
}
.unresolved-card {
background: #fff8e8;
}
.action-card b {
display: block;
color: #1f2933;
font-size: 14px;
}
.action-card div {
margin-top: 6px;
font-size: 12px;
line-height: 1.55;
color: #485465;
}
.action-note {
color: #667085;
}
.chat-block {
background: #f0f2f5;
border-radius: 14px;
padding: 12px;
margin-top: 10px;
}
.chat-msg {
display: flex;
gap: 8px;
margin-top: 8px;
}
.chat-avatar {
width: 32px;
height: 32px;
border-radius: 50%;
object-fit: cover;
}
.chat-name {
font-size: 11px;
color: #667085;
margin-bottom: 4px;
}
.chat-bubble {
background: #fff;
border-radius: 4px 12px 12px 12px;
padding: 9px 10px;
font-size: 13px;
line-height: 1.5;
}
.quote-note {
margin-top: 10px;
padding: 9px 10px;
border-radius: 10px;
background: #fff8e1;
color: #8a5a00;
font-size: 12px;
line-height: 1.5;
}
.qa-card,
.resource {
margin-top: 10px;
padding: 12px;
border-radius: 14px;
background: #f8fafc;
}
.qa-card b,
.resource b {
display: block;
color: #1f2933;
margin-bottom: 5px;
}
.qa-card div,
.resource {
font-size: 13px;
line-height: 1.55;
color: #485465;
}
.storyline-card,
.chain-card {
background: #f8fafc;
}
.storyline-steps {
display: grid;
gap: 8px;
margin-top: 10px;
}
.storyline-step {
display: grid;
grid-template-columns: 50px 1fr;
gap: 10px;
}
.storyline-step span {
color: #8a94a6;
font-size: 12px;
}
.storyline-step b {
font-size: 13px;
line-height: 1.5;
}
.chain-flow {
display: flex;
flex-wrap: wrap;
gap: 6px;
align-items: center;
margin-top: 10px;
}
.chain-flow span {
display: inline-flex;
align-items: center;
padding: 6px 9px;
border-radius: 999px;
background: #eef8f2;
color: #076c39;
font-size: 12px;
font-weight: 700;
}
.chain-flow i {
font-style: normal;
color: #98a2b3;
}
.gallery-card {
display: grid;
grid-template-columns: 112px 1fr;
gap: 12px;
margin-top: 10px;
padding: 12px;
background: #f7faf9;
border-radius: 14px;
}
.gallery-image {
width: 112px;
height: 112px;
border-radius: 12px;
object-fit: cover;
background: #e5e7eb;
}
.gallery-stats {
display: inline-flex;
margin-top: 7px;
padding: 4px 8px;
border-radius: 999px;
background: #eef5ff;
color: #1677ff;
font-size: 11px;
font-weight: 700;
}
.badge-grid {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 10px;
}
/* AI 图片识别板块 */
.vision-card {
display: grid;
grid-template-columns: 132px 1fr;
gap: 14px;
margin-top: 10px;
padding: 12px;
background: linear-gradient(135deg, #edf9f1 0%, #f7fbf8 100%);
border: 1px solid #d6efde;
border-radius: 14px;
}
.vision-image {
width: 132px;
height: 132px;
border-radius: 12px;
object-fit: cover;
background: #e5e7eb;
}
.vision-description {
margin-top: 6px;
font-size: 13px;
line-height: 1.5;
color: #1f2933;
}
.vision-ocr {
margin-top: 6px;
padding: 6px 10px;
background: #eef5ff;
color: #1677ff;
font-size: 11px;
border-radius: 8px;
word-break: break-all;
}
.vision-tags {
margin-top: 8px;
display: flex;
flex-wrap: wrap;
gap: 4px;
}
.vision-tag {
display: inline-block;
padding: 3px 8px;
background: #07c160;
color: #fff;
font-size: 10px;
font-weight: 700;
border-radius: 999px;
}
.vision-label {
margin-top: 6px;
font-size: 10px;
color: #07a352;
font-weight: 600;
}
.badge-card {
background: linear-gradient(180deg, #fdfdfd 0%, #f6fbf8 100%);
border: 1px solid #edf0f2;
border-radius: 14px;
padding: 12px;
}
.badge-card b {
display: block;
margin-top: 8px;
font-size: 15px;
}
.badge-card p {
margin: 8px 0 0;
font-size: 12px;
line-height: 1.55;
}
.data-grid {
display: grid;
gap: 12px;
}
.rank {
display: flex;
align-items: center;
gap: 9px;
padding: 9px 0;
border-bottom: 1px solid #eef0f2;
}
.rank:last-child {
border-bottom: none;
}
.rank img {
width: 30px;
height: 30px;
border-radius: 50%;
object-fit: cover;
}
.rank b {
font-size: 13px;
}
.rank span {
margin-left: auto;
color: #8a94a6;
font-size: 12px;
}
.cloud-tags {
display: flex;
flex-wrap: wrap;
gap: 8px;
}
.cloud-tags span {
padding: 6px 10px;
border-radius: 999px;
background: #f2f4f7;
color: #485465;
font-weight: 800;
}
.cloud-tags .xl {
font-size: 20px;
color: #07a352;
background: #e9f8ef;
}
.cloud-tags .lg {
font-size: 17px;
color: #1677ff;
background: #eef5ff;
}
.cloud-tags .md {
font-size: 15px;
color: #d46b08;
background: #fff4e5;
}
.footer {
padding: 16px 4px 0;
color: #98a2b3;
text-align: center;
font-size: 11px;
line-height: 1.8;
}
.muted {
color: #8a94a6;
}
.empty-section {
display: none !important;
}
.compact .report {
padding-top: 18px;
}
.compact .section {
margin-top: 12px;
padding: 14px;
}
.compact .card {
padding: 11px;
}
.compact .important-card,
.compact .gallery-card,
.compact .chat-block {
padding: 10px;
}
.compact .section-title {
margin-bottom: 9px;
font-size: 17px;
}
.compact .hero-headline p,
.compact .card p,
.compact .important-text,
.compact .chat-bubble {
line-height: 1.5;
}
.compact .participants,
.compact .keywords,
.compact .hero-inline-notes {
gap: 6px;
}
.compact .topic-conclusions {
gap: 6px;
}
.compact .topic-inline-image {
grid-template-columns: 64px 1fr;
padding: 8px;
}
.compact .topic-inline-image img {
width: 64px;
height: 64px;
}
.compact .stats {
gap: 6px;
margin-top: 14px;
}
.compact .stat {
padding: 8px 6px;
}
.compact .stat b {
font-size: 17px;
}
@media (max-width: 430px) {
html,
body {
width: 100%;
}
.report {
width: 100%;
padding-left: 12px;
padding-right: 12px;
}
}
</style>
</head>
<body class="{{REPORT_MODE_CLASS}}">
<main class="report">
<header class="hero">
<div class="hero-top">
<div>
<h1>{{GROUP_NAME}}日报</h1>
<div class="sub">{{DATE_RANGE}}<br />{{RECORD_NOTE}}</div>
</div>
<div class="avatar-grid">{{HERO_AVATARS}}</div>
</div>
<div class="hero-headline">
<b>{{HERO_HEADLINE}}</b>
<p>{{HERO_SUMMARY}}</p>
</div>
<div class="hero-status {{HERO_STATUS_EMPTY_CLASS}}">{{HERO_STATUS_LINE}}</div>
<div class="hero-inline-notes">
<div class="hero-note takeaway {{HERO_TAKEAWAY_EMPTY_CLASS}}">{{HERO_TAKEAWAY}}</div>
<div class="hero-note pending {{HERO_PENDING_EMPTY_CLASS}}">{{HERO_PENDING}}</div>
</div>
<div class="stats">
<div class="stat"><b>{{MESSAGE_COUNT}}</b><span>消息数</span></div>
<div class="stat"><b>{{ACTIVE_USERS}}</b><span>活跃人数</span></div>
<div class="stat"><b>{{TOPIC_COUNT}}</b><span>话题数</span></div>
<div class="stat"><b>{{MEDIA_COUNT}}</b><span>媒体消息</span></div>
</div>
</header>
<section class="section {{TOPICS_EMPTY_CLASS}}">
<div class="section-title">今日讨论热点</div>
{{TOPIC_CARDS}}
{{TOPICS_MORE_NOTE}}
</section>
<section class="section {{MESSAGES_EMPTY_CLASS}}">
<div class="section-title">重要消息</div>
{{IMPORTANT_MESSAGES}}
{{MESSAGES_MORE_NOTE}}
</section>
<section class="section {{ACTIONS_EMPTY_CLASS}}">
<div class="section-title">待办事项和未解决问题</div>
<div class="section-subtitle {{TODO_EMPTY_CLASS}}">待办事项</div>
<div class="action-grid {{TODO_EMPTY_CLASS}}">{{TODO_CARDS}}</div>
<div class="section-subtitle {{UNRESOLVED_EMPTY_CLASS}}">尚未解决</div>
<div class="action-grid {{UNRESOLVED_EMPTY_CLASS}}">{{UNRESOLVED_CARDS}}</div>
{{ACTIONS_MORE_NOTE}}
</section>
<section class="section {{QUOTES_EMPTY_CLASS}}">
<div class="section-title">今日名场面</div>
{{QUOTE_BLOCKS}}
{{QUOTES_MORE_NOTE}}
</section>
<section class="section {{ANALYTICS_EMPTY_CLASS}}">
<div class="section-title">今日群数据</div>
<div class="data-grid">
<div class="card">
<div class="muted" style="font-size: 12px; margin-bottom: 6px">话唠榜 TOP5</div>
{{RANK_ITEMS}}
</div>
<div class="card">
<p><b>最活跃时段:</b>{{ACTIVITY_TIMELINE}}</p>
<p><b>今日状态:</b>形成 {{CONCLUSION_COUNT}} 个结论,待办 {{TODO_COUNT}} 项,未解决 {{UNRESOLVED_COUNT}} 项。</p>
</div>
</div>
</section>
<section class="section {{KEYWORDS_EMPTY_CLASS}}">
<div class="section-title">关键词</div>
<div class="cloud-tags">{{CLOUD_TAGS}}</div>
{{KEYWORDS_MORE_NOTE}}
</section>
<section class="section {{RESOURCES_EMPTY_CLASS}}">
<div class="section-title">实用信息与资源</div>
{{RESOURCE_ITEMS}}
{{RESOURCES_MORE_NOTE}}
</section>
<section class="section {{QA_EMPTY_CLASS}}">
<div class="section-title">问题与解答</div>
{{QA_CARDS}}
{{QA_MORE_NOTE}}
</section>
<section class="section {{STORYLINES_EMPTY_CLASS}}">
<div class="section-title">今日剧情时间线</div>
{{STORYLINE_CARDS}}
{{STORYLINES_MORE_NOTE}}
</section>
<section class="section {{REVERSALS_EMPTY_CLASS}}">
<div class="section-title">群聊反转现场</div>
{{REVERSAL_CARDS}}
{{REVERSALS_MORE_NOTE}}
</section>
<section class="section {{VISION_EMPTY_CLASS}}">
<div class="section-title">{{VISION_TITLE}}</div>
{{VISION_CARDS}}
</section>
<section class="section {{GALLERY_EMPTY_CLASS}}">
<div class="section-title">今日群相册</div>
{{GALLERY_CARDS}}
{{GALLERY_MORE_NOTE}}
</section>
<section class="section {{VOICE_EMPTY_CLASS}}">
<div class="section-title">语音之最</div>
{{VOICE_CARDS}}
{{VOICE_MORE_NOTE}}
</section>
<section class="section {{VOICE_RANK_EMPTY_CLASS}}">
<div class="section-title">语音时长榜</div>
<div class="card">{{VOICE_RANK_CARDS}}</div>
</section>
<section class="section {{BADGES_EMPTY_CLASS}}">
<div class="section-title">今日临时人设</div>
<div class="badge-grid">{{BADGE_CARDS}}</div>
{{BADGES_MORE_NOTE}}
</section>
<section class="section {{CHAINS_EMPTY_CLASS}}">
<div class="section-title">话题参与链路</div>
{{CHAIN_CARDS}}
{{CHAINS_MORE_NOTE}}
</section>
<footer class="footer">
数据来源:WechatExplorer · 微信群聊记录<br />
生成时间:{{GENERATED_AT}}<br />
{{FOOTER_NOTE}}
</footer>
</main>
</body>
</html>
+17
View File
@@ -10,6 +10,23 @@ function setPlistValue(plistPath, key, value) {
}
exports.default = async function afterPack(context) {
if (context.electronPlatformName === 'win32') {
const koffiNative = path.join(
context.appOutDir,
'resources',
'app.asar.unpacked',
'node_modules',
'@koromix',
'koffi-win32-x64',
'win32_x64',
'koffi.node'
)
if (!existsSync(koffiNative)) {
throw new Error(`Missing Windows Koffi native module: ${koffiNative}`)
}
return
}
if (context.electronPlatformName !== 'darwin') return
const productName = context.packager.appInfo.productFilename
+65
View File
@@ -0,0 +1,65 @@
/* eslint-disable @typescript-eslint/no-require-imports, @typescript-eslint/explicit-function-return-type */
const { execFileSync } = require('node:child_process')
const fs = require('node:fs')
const path = require('node:path')
const projectRoot = path.resolve(__dirname, '..')
const sourceDir = path.join(projectRoot, 'services', 'wechat-connector')
const outputRoot = path.join(projectRoot, 'resources', 'connectors', 'wechat')
function normalizePlatform(value) {
if (value === 'win32' || value === 'windows') return 'windows'
if (value === 'darwin' || value === 'macos') return 'darwin'
if (value === 'linux') return 'linux'
throw new Error(`Unsupported connector platform: ${value}`)
}
function normalizeArch(value) {
if (value === 'x64' || value === 'amd64') return 'amd64'
if (value === 'arm64') return 'arm64'
throw new Error(`Unsupported connector architecture: ${value}`)
}
function detectHostArch() {
if (process.platform !== 'darwin') return process.arch
try {
const arm64Supported = execFileSync('sysctl', ['-n', 'hw.optional.arm64'], {
encoding: 'utf8'
}).trim()
return arm64Supported === '1' ? 'arm64' : process.arch
} catch {
return process.arch
}
}
function parseTargets() {
const platformArg = process.argv.indexOf('--platform')
const archArg = process.argv.indexOf('--arch')
const platforms = platformArg >= 0 ? process.argv[platformArg + 1].split(',') : [process.platform]
const arches = archArg >= 0 ? process.argv[archArg + 1].split(',') : [detectHostArch()]
return platforms.flatMap((platform) =>
arches.map((arch) => ({ goos: normalizePlatform(platform), goarch: normalizeArch(arch) }))
)
}
if (!fs.existsSync(path.join(sourceDir, 'go.mod'))) {
throw new Error(`Repository-local WeChat connector source is missing: ${sourceDir}`)
}
for (const target of parseTargets()) {
const directoryName = `${target.goos === 'windows' ? 'win32' : target.goos}-${target.goarch === 'amd64' ? 'x64' : target.goarch}`
const outputDir = path.join(outputRoot, directoryName)
const outputPath = path.join(
outputDir,
target.goos === 'windows' ? 'wechat-connector.exe' : 'wechat-connector'
)
fs.rmSync(outputDir, { recursive: true, force: true })
fs.mkdirSync(outputDir, { recursive: true })
execFileSync('go', ['build', '-trimpath', '-o', outputPath, '.'], {
cwd: sourceDir,
env: { ...process.env, GOOS: target.goos, GOARCH: target.goarch, CGO_ENABLED: '0' },
stdio: 'inherit'
})
if (target.goos !== 'windows') fs.chmodSync(outputPath, 0o755)
console.log(`[build-wechat-connector] built ${directoryName}: ${outputPath}`)
}
+409
View File
@@ -0,0 +1,409 @@
import { app, BrowserWindow } from 'electron'
import fs from 'fs-extra'
import path from 'path'
import os from 'os'
import { fileURLToPath } from 'url'
const __dirname = path.dirname(fileURLToPath(import.meta.url))
const root = path.resolve(__dirname, '..')
const templatePath = path.join(root, 'resources', 'mobile_daily_report.html')
const outputDir = path.join(os.tmpdir(), 'wechatexplorer-report-fixtures')
const escapeHtml = (value) =>
String(value ?? '')
.replace(/&/g, '&amp;')
.replace(/</g, '&lt;')
.replace(/>/g, '&gt;')
.replace(/"/g, '&quot;')
.replace(/'/g, '&#039;')
const replacePlaceholder = (html, key, value) => html.replaceAll(`{{${key}}}`, value)
const avatarSvg = (label, color) =>
`data:image/svg+xml;base64,${Buffer.from(
`<svg xmlns="http://www.w3.org/2000/svg" width="96" height="96"><rect width="96" height="96" rx="18" fill="${color}"/><text x="48" y="58" text-anchor="middle" font-family="PingFang SC, sans-serif" font-size="36" fill="#0f172a">${label}</text></svg>`
).toString('base64')}`
const localImagePath = '/Users/Wxw_/Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files/a969409112_d784/temp/RWTemp/2026-07/94ce24699a5a1d539c00a37ec8ace755.png'
const sampleImage = fs.existsSync(localImagePath)
? `data:image/png;base64,${fs.readFileSync(localImagePath).toString('base64')}`
: avatarSvg('图', '#dbeafe')
const avatars = {
阿宇: avatarSvg('宇', '#dcfce7'),
老周: avatarSvg('周', '#e0f2fe'),
小李: avatarSvg('李', '#fef3c7'),
'we water': avatarSvg('W', '#ede9fe'),
佩佩: avatarSvg('佩', '#fee2e2')
}
const heroNames = ['阿宇', '老周', '小李', 'we water']
const heroAvatars = heroNames
.map((name) => `<img src="${avatars[name]}" alt="${name}">`)
.join('')
const compactRequest = {
metadata: {
groupName: '技术交流',
reportDate: '2026-07-10',
dateRange: '2026-07-10 09:12-19:48',
messageCount: 382,
activeUsers: 47,
imageCount: 9,
voiceCount: 5,
stickerCount: 14,
mediaMessageCount: 28,
timeSpan: '11 h',
generatedAt: '2026-07-10 22:18',
recordNote: '基于示例数据生成的精简版日报',
footerNote: '精简版默认面向长图转发;无内容模块自动隐藏。',
heroParticipants: heroNames,
avatars,
reportMode: 'compact'
},
report: {
hero: {
headline: '接口排查和版本升级是今天主线',
summary: '白天主要围绕接口异常、升级节奏和上线安排展开,结论比争论更多,待跟进事项也比较集中。',
keyTakeaway: '大家确认本次异常更像缓存与配置问题,而不是服务端挂掉。',
pendingNote: '测试环境接口文档和回滚方案仍需补齐。',
statusLine: '今日形成 3 个结论 · 2 个待办 · 1 个问题尚未解决'
},
summaryStats: {
messageCount: 382,
activeUsers: 47,
topicCount: 4,
mediaCount: 28,
imageCount: 9,
voiceCount: 5,
stickerCount: 14,
conclusionCount: 3,
todoCount: 2,
unresolvedCount: 1
},
sectionMeta: {
hero: { enabled: true, importance: 1, confidence: 0.95, totalCount: 1, displayedCount: 1 },
topics: { enabled: true, importance: 0.98, confidence: 0.86, totalCount: 6, displayedCount: 3, hiddenCount: 3 },
importantMessages: { enabled: true, importance: 0.95, confidence: 0.84, totalCount: 6, displayedCount: 3, hiddenCount: 3 },
actions: { enabled: true, importance: 0.97, confidence: 0.81, totalCount: 5, displayedCount: 3, hiddenCount: 2 },
moments: { enabled: true, importance: 0.75, confidence: 0.75, totalCount: 3, displayedCount: 1, hiddenCount: 2 },
analytics: { enabled: true, importance: 0.8, confidence: 0.95, totalCount: 1, displayedCount: 1 },
keywords: { enabled: true, importance: 0.68, confidence: 0.92, totalCount: 16, displayedCount: 12, hiddenCount: 4 }
},
topics: [
{
title: 'GPT 接口异常排查',
timeRange: '09:20-11:05',
heat: '高',
summary: '上午先从接口超时和返回结构异常入手,几轮排查后,大家逐步把问题收敛到缓存与环境配置,而不是后端服务不可用。',
conclusions: [
{ text: '接口本身可用,异常更像本地缓存与环境变量冲突。' },
{ text: '先清缓存再复测,避免把旧响应误判成线上事故。' }
],
participants: ['阿宇', '老周', '小李'],
keywords: ['接口', '缓存', '环境变量'],
image: {
imageUrl: sampleImage,
note: '该图片引发 12 条回复。根据图片前后对话推断,这是一张帮助定位问题的截图。'
}
},
{
title: '版本升级节奏',
timeRange: '11:40-12:20',
heat: '中',
summary: '关于 React 版本是否立刻升级,讨论从“能不能升”转成“这周值不值得升”,最终倾向先补兼容性清单再动。',
conclusions: [{ text: '先列旧组件兼容清单,再决定升级窗口。' }],
participants: ['阿宇', 'we water', '佩佩'],
keywords: ['React', '升级', '兼容性']
},
{
title: '上线节奏与回滚准备',
timeRange: '15:10-16:05',
heat: '中',
summary: '下午讨论上线方案时,大家更关注回滚准备是否充分,最后把重点放在文档、监控和回滚路径补齐上。',
conclusions: [{ text: '上线前需要补一版简短回滚说明。' }],
participants: ['老周', '小李'],
keywords: ['上线', '回滚', '监控']
},
],
importantMessages: [
{ sender: '阿宇', time: '10:41', content: '先别回滚,接口能通。', note: '稳定了排查方向。' },
{ sender: '老周', time: '11:02', content: '像是缓存没清掉。', note: '把问题从服务端收敛到本地环境。' },
{ sender: '小李', time: '15:36', content: '上线前把回滚文档补一下。', note: '明确形成待办。' }
],
todos: [
{ task: '补测试环境接口文档', owner: '小李', topic: 'GPT 接口异常排查', note: '方便明天复测。' },
{ task: '整理回滚说明', owner: '老周', deadline: '今晚', topic: '上线节奏与回滚准备' }
],
unresolved: [
{ question: '缓存问题的根因是不是插件残留?', owner: '阿宇', status: '待跟进', lastDiscussedAt: '18:26', note: '目前只有推断,还没有最终证据。' }
],
quotes: [
{
messages: [
{ sender: '阿宇', content: '我以为接口炸了。' },
{ sender: '老周', content: '先别慌,先清缓存。' },
{ sender: '小李', content: '清完它居然真好了。' }
],
note: '从“要不要回滚”迅速切到“先做最小验证”,很像今天的群聊节奏。'
}
],
analytics: {
topSpeakers: [
{ name: '阿宇', count: 112 },
{ name: '老周', count: 78 },
{ name: '小李', count: 61 },
{ name: 'we water', count: 49 },
{ name: '佩佩', count: 33 }
],
activeTimeline: '09:00-09:59、10:00-10:59、15:00-15:59',
voiceLeaderboard: []
},
keywords: ['GPT', '接口', '缓存', '升级', '上线', '回滚', '监控', '兼容性', '截图', '文档', '测试环境', '复测'],
media: {
gallery: [],
voiceHighlights: [],
funBadges: []
},
resources: [],
qa: [],
storylines: [],
reversals: [],
participantChains: []
}
}
const fullRequest = JSON.parse(JSON.stringify(compactRequest))
fullRequest.metadata.recordNote = '基于示例数据生成的完整版日报'
fullRequest.metadata.reportMode = 'full'
fullRequest.report.sectionMeta = {
...fullRequest.report.sectionMeta,
resources: { enabled: true, importance: 0.58, confidence: 0.76, totalCount: 2, displayedCount: 2 },
qa: { enabled: true, importance: 0.62, confidence: 0.8, totalCount: 2, displayedCount: 2 },
storylines: { enabled: true, importance: 0.68, confidence: 0.74, totalCount: 2, displayedCount: 2 },
reversals: { enabled: true, importance: 0.55, confidence: 0.72, totalCount: 1, displayedCount: 1 },
gallery: { enabled: true, importance: 0.64, confidence: 0.82, totalCount: 2, displayedCount: 2 },
voices: { enabled: true, importance: 0.6, confidence: 0.83, totalCount: 2, displayedCount: 2 },
badges: { enabled: true, importance: 0.45, confidence: 0.68, totalCount: 2, displayedCount: 2 },
chains: { enabled: true, importance: 0.58, confidence: 0.72, totalCount: 1, displayedCount: 1 }
}
fullRequest.report.resources = [
{ title: '测试环境接口文档', description: '明天复测会直接用到的说明。', sender: '小李' },
{ title: '回滚说明草稿', description: '上线前确认回滚路径与负责人。', sender: '老周' }
]
fullRequest.report.qa = [
{ question: '今晚要不要升级 React', answer: '先不升级,先补兼容清单。', answerer: 'we water' },
{ question: '接口是不是服务端挂了?', answer: '不是,当前更像缓存与环境问题。', answerer: '老周' }
]
fullRequest.report.storylines = [
{
title: '接口异常排查线',
stages: [
{ time: '09:20', event: '阿宇提出接口异常。' },
{ time: '09:46', event: '老周建议先清缓存。' },
{ time: '10:41', event: '确认接口本身可通。' }
],
result: '初步定位为缓存与配置冲突。'
},
{
title: '版本升级讨论线',
stages: [
{ time: '11:40', event: '开始讨论是否本周升级。' },
{ time: '12:05', event: '补充兼容性与工期顾虑。' }
],
result: '今晚不升,先补兼容清单。'
}
]
fullRequest.report.reversals = [
{ topic: '接口异常', initialView: '最初以为后端服务不稳定。', finalView: '最终判断更像缓存与配置问题。', note: '多轮验证后,排查方向明显收敛。' }
]
fullRequest.report.media = {
gallery: [
{
sender: '阿宇',
time: '09:52',
imageUrl: sampleImage,
note: '图片发出后,群里立刻围绕异常现象、返回结构和复现环境展开讨论。',
stats: '12 条后续消息 · 6 人接话',
inferenceLabel: '基于图片后的聊天上下文推断'
},
{
sender: '佩佩',
time: '17:14',
imageUrl: sampleImage,
note: '第二张图带起一轮轻松但有效的快速确认。',
stats: '5 条后续消息 · 3 人接话',
inferenceLabel: '基于图片后的聊天上下文推断'
}
],
voiceHighlights: [
{ title: '语音输出王', sender: '老周', note: '共发送 3 条语音,累计 97 秒。' },
{ title: '连续发言时刻', sender: '阿宇', note: '16:32 连发 2 条语音,共 54 秒。' }
],
funBadges: [
{ title: '高能输出王', owner: '阿宇', note: '今天一共发了 112 条消息。' },
{ title: '语音麦霸', owner: '老周', note: '语音总时长位列第一。' }
]
}
fullRequest.report.participantChains = [
{ topic: '接口异常排查', chain: ['阿宇 提出', '老周 收敛方向', '小李 验证', 'we water 定结论'], note: '比较典型的一条技术讨论链路。' }
]
fullRequest.report.analytics.voiceLeaderboard = [
{ sender: '老周', count: 3, durationSec: 97 },
{ sender: '阿宇', count: 2, durationSec: 54 }
]
async function renderRequest(request, targetBase) {
let html = await fs.readFile(templatePath, 'utf8')
const report = request.report
const metadata = request.metadata
const topicCards = report.topics
.map((topic) => {
const conclusions = (topic.conclusions || [])
.slice(0, 2)
.map((entry) => `<div class="topic-conclusion">${escapeHtml(entry.text)}</div>`)
.join('')
const image = topic.image?.imageUrl
? `<div class="topic-inline-image"><img src="${topic.image.imageUrl}" alt="热点图片"><div>${escapeHtml(topic.image.note)}</div></div>`
: ''
return `<div class="card topic-card"><div class="topic-title-row"><h3>${escapeHtml(topic.title)}</h3><span class="heat ${topic.heat === '高' ? 'hot' : topic.heat === '低' ? 'blue' : ''}">${escapeHtml(topic.heat)}热</span></div><div class="topic-meta">${escapeHtml(topic.timeRange)}</div><p>${escapeHtml(topic.summary)}</p>${conclusions ? `<div class="topic-conclusions">${conclusions}</div>` : ''}${image}<div class="participants">${topic.participants.map((name) => `<span class="person-chip"><img src="${avatars[name] || avatarSvg(name[0], '#e5e7eb')}" alt=""><b>${escapeHtml(name)}</b></span>`).join('')}</div><div class="keywords">${topic.keywords.map((word) => `<span>${escapeHtml(word)}</span>`).join('')}</div></div>`
})
.join('')
const importantMessages = report.importantMessages
.map((message) => `<div class="important-card"><img class="avatar" src="${avatars[message.sender] || avatarSvg(message.sender[0], '#e5e7eb')}" alt=""><div class="important-body"><div class="important-meta"><b>${escapeHtml(message.sender)}</b><span>${escapeHtml(message.time)}</span></div><div class="important-text">${escapeHtml(message.content)}</div><div class="important-note">${escapeHtml(message.note)}</div></div></div>`)
.join('')
const todoCards = (report.todos || []).map((item) => `<div class="action-card todo-card"><b>${escapeHtml(item.task)}</b><div>${[item.owner || '', item.deadline || '', item.topic || ''].filter(Boolean).map(escapeHtml).join(' · ')}</div>${item.note ? `<div class="action-note">${escapeHtml(item.note)}</div>` : ''}</div>`).join('')
const unresolvedCards = (report.unresolved || []).map((item) => `<div class="action-card unresolved-card"><b>${escapeHtml(item.question)}</b><div>${[item.owner || '', item.lastDiscussedAt || '', item.status].filter(Boolean).map(escapeHtml).join(' · ')}</div><div class="action-note">${escapeHtml(item.note)}</div></div>`).join('')
const quoteBlocks = report.quotes.map((quote) => `<div class="chat-block">${quote.messages.map((message) => `<div class="chat-msg"><img class="chat-avatar" src="${avatars[message.sender] || avatarSvg(message.sender[0], '#e5e7eb')}" alt=""><div><div class="chat-name">${escapeHtml(message.sender)}</div><div class="chat-bubble">${escapeHtml(message.content)}</div></div></div>`).join('')}<div class="quote-note">${escapeHtml(quote.note)}</div></div>`).join('')
const rankItems = report.analytics.topSpeakers.map((speaker, index) => `<div class="rank"><img src="${avatars[speaker.name] || avatarSvg(speaker.name[0], '#e5e7eb')}" alt=""><b>${index + 1}. ${escapeHtml(speaker.name)}</b><span>${speaker.count} 条</span></div>`).join('')
const cloudTags = report.keywords.map((word, index) => `<span class="${index < 2 ? 'xl' : index < 5 ? 'lg' : index < 9 ? 'md' : ''}">${escapeHtml(word)}</span>`).join('')
const resourceItems = (report.resources || []).map((resource) => `<div class="resource"><b>${escapeHtml(resource.title)}</b>${resource.sender ? ` · ${escapeHtml(resource.sender)}` : ''}<br>${escapeHtml(resource.description)}</div>`).join('')
const qaCards = (report.qa || []).map((item) => `<div class="qa-card"><b>Q${escapeHtml(item.question)}</b><div>A${escapeHtml(item.answer)}${item.answerer ? `${escapeHtml(item.answerer)}` : ''}</div></div>`).join('')
const storylineCards = (report.storylines || []).map((item) => `<div class="card storyline-card"><div class="topic-title-row"><h3>${escapeHtml(item.title)}</h3></div><div class="storyline-steps">${item.stages.map((stage) => `<div class="storyline-step"><span>${escapeHtml(stage.time)}</span><b>${escapeHtml(stage.event)}</b></div>`).join('')}</div>${item.result ? `<p class="muted">${escapeHtml(item.result)}</p>` : ''}</div>`).join('')
const reversalCards = (report.reversals || []).map((item) => `<div class="qa-card"><b>${escapeHtml(item.topic)}</b><div>最初:${escapeHtml(item.initialView)}</div><div>后来:${escapeHtml(item.finalView)}</div>${item.note ? `<div>${escapeHtml(item.note)}</div>` : ''}</div>`).join('')
const galleryCards = (report.media.gallery || []).map((item) => `<div class="gallery-card"><img class="gallery-image" src="${item.imageUrl}" alt=""><div class="gallery-body"><div class="important-meta"><b>${escapeHtml(item.sender)}</b><span>${escapeHtml(item.time)}</span></div>${item.stats ? `<div class="gallery-stats">${escapeHtml(item.stats)}</div>` : ''}<div class="important-text">${escapeHtml(item.note)}</div>${item.inferenceLabel ? `<div class="topic-meta">${escapeHtml(item.inferenceLabel)}</div>` : ''}</div></div>`).join('')
const voiceCards = (report.media.voiceHighlights || []).map((item) => `<div class="qa-card"><b>${escapeHtml(item.title)} · ${escapeHtml(item.sender)}</b><div>${escapeHtml(item.note)}</div></div>`).join('')
const voiceRankCards = (report.analytics.voiceLeaderboard || []).map((item, index) => `<div class="rank"><img src="${avatars[item.sender] || avatarSvg(item.sender[0], '#e5e7eb')}" alt=""><b>${index + 1}. ${escapeHtml(item.sender)}</b><span>${item.count} 条 · ${item.durationSec} 秒</span></div>`).join('')
const badgeCards = (report.media.funBadges || []).map((item) => `<div class="badge-card"><span class="tag">${escapeHtml(item.title)}</span><b>${escapeHtml(item.owner)}</b><p>${escapeHtml(item.note)}</p></div>`).join('')
const chainCards = (report.participantChains || []).map((item) => `<div class="card chain-card"><div class="topic-title-row"><h3>${escapeHtml(item.topic)}</h3></div><div class="chain-flow">${item.chain.map((node) => `<span>${escapeHtml(node)}</span>`).join('<i>→</i>')}</div>${item.note ? `<p class="muted">${escapeHtml(item.note)}</p>` : ''}</div>`).join('')
const replaceMap = {
REPORT_TITLE: `${metadata.groupName}日报`,
REPORT_MODE_CLASS: metadata.reportMode === 'full' ? 'full' : 'compact',
GROUP_NAME: metadata.groupName,
DATE_RANGE: metadata.dateRange,
RECORD_NOTE: metadata.recordNote,
REPORT_MODE_LABEL: metadata.reportMode === 'full' ? '完整版' : '精简版',
HERO_HEADLINE: report.hero.headline,
HERO_SUMMARY: report.hero.summary,
HERO_STATUS_LINE: report.hero.statusLine || '',
HERO_STATUS_EMPTY_CLASS: report.hero.statusLine ? '' : 'empty-section',
HERO_TAKEAWAY: report.hero.keyTakeaway || '',
HERO_TAKEAWAY_EMPTY_CLASS: report.hero.keyTakeaway ? '' : 'empty-section',
HERO_PENDING: report.hero.pendingNote || '',
HERO_PENDING_EMPTY_CLASS: report.hero.pendingNote ? '' : 'empty-section',
HERO_AVATARS: heroAvatars,
MESSAGE_COUNT: String(report.summaryStats.messageCount),
ACTIVE_USERS: String(report.summaryStats.activeUsers),
TOPIC_COUNT: String(report.summaryStats.topicCount),
MEDIA_COUNT: String(report.summaryStats.mediaCount),
TOPICS_EMPTY_CLASS: report.sectionMeta.topics?.enabled ? '' : 'empty-section',
TOPIC_CARDS: topicCards,
TOPICS_MORE_NOTE: report.sectionMeta.topics?.hiddenCount ? `<div class="section-more">另有 ${report.sectionMeta.topics.hiddenCount} 条内容,请在完整版中查看</div>` : '',
MESSAGES_EMPTY_CLASS: report.sectionMeta.importantMessages?.enabled ? '' : 'empty-section',
IMPORTANT_MESSAGES: importantMessages,
MESSAGES_MORE_NOTE: report.sectionMeta.importantMessages?.hiddenCount ? `<div class="section-more">另有 ${report.sectionMeta.importantMessages.hiddenCount} 条内容,请在完整版中查看</div>` : '',
ACTIONS_EMPTY_CLASS: report.sectionMeta.actions?.enabled ? '' : 'empty-section',
TODO_EMPTY_CLASS: report.todos.length ? '' : 'empty-section',
TODO_CARDS: todoCards,
UNRESOLVED_EMPTY_CLASS: report.unresolved.length ? '' : 'empty-section',
UNRESOLVED_CARDS: unresolvedCards,
ACTIONS_MORE_NOTE: report.sectionMeta.actions?.hiddenCount ? `<div class="section-more">另有 ${report.sectionMeta.actions.hiddenCount} 条内容,请在完整版中查看</div>` : '',
QUOTES_EMPTY_CLASS: report.sectionMeta.moments?.enabled ? '' : 'empty-section',
QUOTE_BLOCKS: quoteBlocks,
QUOTES_MORE_NOTE: report.sectionMeta.moments?.hiddenCount ? `<div class="section-more">另有 ${report.sectionMeta.moments.hiddenCount} 条内容,请在完整版中查看</div>` : '',
ANALYTICS_EMPTY_CLASS: '',
RANK_ITEMS: rankItems,
ACTIVITY_TIMELINE: report.analytics.activeTimeline,
CONCLUSION_COUNT: String(report.summaryStats.conclusionCount),
TODO_COUNT: String(report.summaryStats.todoCount),
UNRESOLVED_COUNT: String(report.summaryStats.unresolvedCount),
KEYWORDS_EMPTY_CLASS: report.sectionMeta.keywords?.enabled ? '' : 'empty-section',
CLOUD_TAGS: cloudTags,
KEYWORDS_MORE_NOTE: report.sectionMeta.keywords?.hiddenCount ? `<div class="section-more">另有 ${report.sectionMeta.keywords.hiddenCount} 个关键词,请在完整版中查看</div>` : '',
RESOURCES_EMPTY_CLASS: report.sectionMeta.resources?.enabled ? '' : 'empty-section',
RESOURCE_ITEMS: resourceItems,
RESOURCES_MORE_NOTE: '',
QA_EMPTY_CLASS: report.sectionMeta.qa?.enabled ? '' : 'empty-section',
QA_CARDS: qaCards,
QA_MORE_NOTE: '',
STORYLINES_EMPTY_CLASS: report.sectionMeta.storylines?.enabled ? '' : 'empty-section',
STORYLINE_CARDS: storylineCards,
STORYLINES_MORE_NOTE: '',
REVERSALS_EMPTY_CLASS: report.sectionMeta.reversals?.enabled ? '' : 'empty-section',
REVERSAL_CARDS: reversalCards,
REVERSALS_MORE_NOTE: '',
GALLERY_EMPTY_CLASS: report.sectionMeta.gallery?.enabled ? '' : 'empty-section',
GALLERY_CARDS: galleryCards,
GALLERY_MORE_NOTE: '',
VOICE_EMPTY_CLASS: report.sectionMeta.voices?.enabled ? '' : 'empty-section',
VOICE_CARDS: voiceCards,
VOICE_MORE_NOTE: '',
VOICE_RANK_EMPTY_CLASS: report.sectionMeta.voices?.enabled ? '' : 'empty-section',
VOICE_RANK_CARDS: voiceRankCards,
BADGES_EMPTY_CLASS: report.sectionMeta.badges?.enabled ? '' : 'empty-section',
BADGE_CARDS: badgeCards,
BADGES_MORE_NOTE: '',
CHAINS_EMPTY_CLASS: report.sectionMeta.chains?.enabled ? '' : 'empty-section',
CHAIN_CARDS: chainCards,
CHAINS_MORE_NOTE: '',
GENERATED_AT: metadata.generatedAt,
FOOTER_NOTE: metadata.footerNote
}
for (const [key, value] of Object.entries(replaceMap)) html = replacePlaceholder(html, key, value)
const htmlPath = path.join(outputDir, `${targetBase}.html`)
const pngPath = path.join(outputDir, `${targetBase}.png`)
await fs.ensureDir(outputDir)
await fs.writeFile(htmlPath, html, 'utf8')
const win = new BrowserWindow({
show: false,
width: 430,
height: 800,
frame: false,
backgroundColor: '#f3f5f7',
webPreferences: { sandbox: true }
})
await win.loadFile(htmlPath)
await win.webContents.executeJavaScript(`Promise.all([
document.fonts.ready,
...Array.from(document.images).map((img) => img.complete ? Promise.resolve() : new Promise((resolve) => {
img.addEventListener('load', resolve, { once: true });
img.addEventListener('error', resolve, { once: true });
}))
])`)
win.webContents.debugger.attach('1.3')
const metrics = await win.webContents.debugger.sendCommand('Page.getLayoutMetrics')
const width = Math.max(430, Math.ceil(metrics.cssContentSize.width))
const height = Math.ceil(metrics.cssContentSize.height)
const screenshot = await win.webContents.debugger.sendCommand('Page.captureScreenshot', {
format: 'png',
captureBeyondViewport: true,
fromSurface: true,
clip: { x: 0, y: 0, width, height, scale: 1 }
})
await fs.writeFile(pngPath, Buffer.from(screenshot.data, 'base64'))
if (win.webContents.debugger.isAttached()) win.webContents.debugger.detach()
win.destroy()
return { htmlPath, pngPath, height }
}
app.whenReady().then(async () => {
const mode = process.argv.includes('--full') ? 'full' : 'compact'
const result =
mode === 'full'
? await renderRequest(fullRequest, 'full-fixture')
: await renderRequest(compactRequest, 'compact-fixture')
console.log(JSON.stringify({ mode, result, outputDir }, null, 2))
app.quit()
})
+21
View File
@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2026 fastclaw-ai
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
+25
View File
@@ -0,0 +1,25 @@
# WechatExplorer WeChat Connector
This repository-local service provides the minimal WeChat bridge required by WechatExplorer:
- QR-code login with a single persisted credential
- account discovery
- inbound long polling and authenticated webhook delivery
- local HTTP health and send endpoints
- text and local/remote media sending
The executable is managed by the Electron main process. It is not a general-purpose agent runtime and does not load external AI command-line tools.
## Commands
```bash
go run . login --json
go run . accounts --json
go run . start --foreground --api-addr 127.0.0.1:18011 --account-id <account-id>
```
Credential and synchronization state is stored under `~/.wechatexplorer/wechat-connector/accounts`. A successful login is written before the older credential and synchronization state are removed, so an incomplete login cannot destroy the last working credential.
## Attribution
Low-level protocol and media transport portions are distributed under the MIT license in [LICENSE](LICENSE). WechatExplorer-specific process management, webhook contract, product UI, and Agent Hub behavior live in the surrounding WechatExplorer project.
+135
View File
@@ -0,0 +1,135 @@
package api
import (
"context"
"encoding/json"
"fmt"
"log"
"net/http"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/messaging"
)
// Server provides an HTTP API for sending messages.
type Server struct {
clients []*ilink.Client
addr string
}
// NewServer creates an API server.
func NewServer(clients []*ilink.Client, addr string) *Server {
if addr == "" {
addr = "127.0.0.1:18011"
}
return &Server{clients: clients, addr: addr}
}
// SendRequest is the JSON body for POST /api/send.
type SendRequest struct {
AccountID string `json:"account_id,omitempty"`
To string `json:"to"`
Text string `json:"text,omitempty"`
MediaURL string `json:"media_url,omitempty"` // image/video/file URL
}
// Run starts the HTTP server. Blocks until ctx is cancelled.
func (s *Server) Run(ctx context.Context) error {
mux := http.NewServeMux()
mux.HandleFunc("/api/send", s.handleSend)
mux.HandleFunc("/health", func(w http.ResponseWriter, r *http.Request) {
w.WriteHeader(http.StatusOK)
fmt.Fprintln(w, "ok")
})
srv := &http.Server{Addr: s.addr, Handler: mux}
go func() {
<-ctx.Done()
srv.Shutdown(context.Background())
}()
log.Printf("[api] listening on %s", s.addr)
if err := srv.ListenAndServe(); err != nil && err != http.ErrServerClosed {
return err
}
return nil
}
func (s *Server) handleSend(w http.ResponseWriter, r *http.Request) {
if r.Method != http.MethodPost {
http.Error(w, "POST only", http.StatusMethodNotAllowed)
return
}
var req SendRequest
if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
http.Error(w, "invalid JSON: "+err.Error(), http.StatusBadRequest)
return
}
if req.To == "" {
http.Error(w, `"to" is required`, http.StatusBadRequest)
return
}
if req.Text == "" && req.MediaURL == "" {
http.Error(w, `"text" or "media_url" is required`, http.StatusBadRequest)
return
}
if len(s.clients) == 0 {
http.Error(w, "no accounts configured", http.StatusServiceUnavailable)
return
}
client := s.clientForAccount(req.AccountID)
if client == nil {
http.Error(w, "requested account is not available", http.StatusNotFound)
return
}
ctx := r.Context()
// Send text if provided
if req.Text != "" {
if err := messaging.SendTextReply(ctx, client, req.To, req.Text, "", ""); err != nil {
log.Printf("[api] send text failed: %v", err)
http.Error(w, "send text failed: "+err.Error(), http.StatusInternalServerError)
return
}
log.Printf("[api] sent text to %s: %q", req.To, req.Text)
// Extract and send any markdown images embedded in text
for _, imgURL := range messaging.ExtractImageURLs(req.Text) {
if err := messaging.SendMediaFromURL(ctx, client, req.To, imgURL, ""); err != nil {
log.Printf("[api] send extracted image failed: %v", err)
} else {
log.Printf("[api] sent extracted image to %s: %s", req.To, imgURL)
}
}
}
// Send media if provided
if req.MediaURL != "" {
if err := messaging.SendMediaFromURL(ctx, client, req.To, req.MediaURL, ""); err != nil {
log.Printf("[api] send media failed: %v", err)
http.Error(w, "send media failed: "+err.Error(), http.StatusInternalServerError)
return
}
log.Printf("[api] sent media to %s: %s", req.To, req.MediaURL)
}
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(map[string]string{"status": "ok"})
}
func (s *Server) clientForAccount(accountID string) *ilink.Client {
if accountID == "" {
return s.clients[0]
}
for _, client := range s.clients {
if client.BotID() == accountID {
return client
}
}
return nil
}
@@ -0,0 +1,20 @@
package api
import (
"testing"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
)
func TestClientForAccountSelectsMatchingBot(t *testing.T) {
oldClient := ilink.NewClient(&ilink.Credentials{ILinkBotID: "bot-old"})
newClient := ilink.NewClient(&ilink.Credentials{ILinkBotID: "bot-new"})
server := NewServer([]*ilink.Client{oldClient, newClient}, "")
if got := server.clientForAccount("bot-new"); got != newClient {
t.Fatal("clientForAccount did not select the requested account")
}
if got := server.clientForAccount("missing"); got != nil {
t.Fatal("clientForAccount should reject an unknown account")
}
}
+8
View File
@@ -0,0 +1,8 @@
module github.com/Wxw-Gu/WechatExplorer/services/wechat-connector
go 1.23.0
require (
github.com/google/uuid v1.6.0
rsc.io/qr v0.2.0
)
+4
View File
@@ -0,0 +1,4 @@
github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0=
github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
rsc.io/qr v0.2.0 h1:6vBLea5/NRMVTz8V66gipeLycZMl/+UlFmk8DvqQ6WY=
rsc.io/qr v0.2.0/go.mod h1:IF+uZjkb9fqyeF/4tlBoynqmQxUoPfWEKh921coOuXs=
+197
View File
@@ -0,0 +1,197 @@
package ilink
import (
"context"
"encoding/json"
"fmt"
"os"
"path/filepath"
"strings"
"time"
)
const (
qrCodeURL = "https://ilinkai.weixin.qq.com/ilink/bot/get_bot_qrcode?bot_type=3"
qrStatusURL = "https://ilinkai.weixin.qq.com/ilink/bot/get_qrcode_status?qrcode="
statusWait = "wait"
statusScanned = "scaned"
statusConfirmed = "confirmed"
statusExpired = "expired"
)
// FetchQRCode retrieves a new QR code for login.
func FetchQRCode(ctx context.Context) (*QRCodeResponse, error) {
c := NewUnauthenticatedClient()
var resp QRCodeResponse
if err := c.doGet(ctx, qrCodeURL, &resp); err != nil {
return nil, fmt.Errorf("fetch QR code: %w", err)
}
return &resp, nil
}
// PollQRStatus polls for QR code scan status until confirmed or expired.
// It calls onStatus for each status change so the caller can display progress.
func PollQRStatus(ctx context.Context, qrcode string, onStatus func(status string)) (*Credentials, error) {
c := NewUnauthenticatedClient()
url := qrStatusURL + qrcode
for {
select {
case <-ctx.Done():
return nil, ctx.Err()
default:
}
pollCtx, cancel := context.WithTimeout(ctx, 40*time.Second)
var resp QRStatusResponse
err := c.doGet(pollCtx, url, &resp)
cancel()
if err != nil {
// Timeout is normal for long-poll, retry
if ctx.Err() != nil {
return nil, ctx.Err()
}
continue
}
if onStatus != nil {
onStatus(resp.Status)
}
switch resp.Status {
case statusConfirmed:
creds := &Credentials{
BotToken: resp.BotToken,
ILinkBotID: resp.ILinkBotID,
BaseURL: resp.BaseURL,
ILinkUserID: resp.ILinkUserID,
}
return creds, nil
case statusExpired:
return nil, fmt.Errorf("QR code expired")
case statusWait, statusScanned:
// Continue polling
default:
// Unknown status, continue
}
}
}
// AccountsDir returns the directory where account credentials are stored.
func AccountsDir() (string, error) {
home, err := os.UserHomeDir()
if err != nil {
return "", err
}
return filepath.Join(home, ".wechatexplorer", "wechat-connector", "accounts"), nil
}
// NormalizeAccountID converts raw bot ID to filesystem-safe format.
func NormalizeAccountID(raw string) string {
s := raw
for _, ch := range []string{"@", ".", ":"} {
s = filepath.Clean(s)
s = replaceAll(s, ch, "-")
}
return s
}
func replaceAll(s, old, new string) string {
for {
i := indexOf(s, old)
if i < 0 {
return s
}
s = s[:i] + new + s[i+len(old):]
}
}
func indexOf(s, sub string) int {
for i := range s {
if i+len(sub) <= len(s) && s[i:i+len(sub)] == sub {
return i
}
}
return -1
}
// SaveCredentials saves the latest credentials and removes older accounts.
// The new credential is written first so a failed login never destroys the
// previously working credential.
func SaveCredentials(creds *Credentials) error {
dir, err := AccountsDir()
if err != nil {
return err
}
if err := os.MkdirAll(dir, 0o700); err != nil {
return fmt.Errorf("create accounts dir: %w", err)
}
id := NormalizeAccountID(creds.ILinkBotID)
path := filepath.Join(dir, id+".json")
data, err := json.MarshalIndent(creds, "", " ")
if err != nil {
return fmt.Errorf("marshal credentials: %w", err)
}
if err := os.WriteFile(path, data, 0o600); err != nil {
return fmt.Errorf("write credentials: %w", err)
}
entries, err := os.ReadDir(dir)
if err != nil {
return fmt.Errorf("prune old credentials: %w", err)
}
keepPrefix := id + "."
for _, entry := range entries {
if entry.IsDir() || strings.HasPrefix(entry.Name(), keepPrefix) {
continue
}
if filepath.Ext(entry.Name()) != ".json" {
continue
}
if err := os.Remove(filepath.Join(dir, entry.Name())); err != nil && !os.IsNotExist(err) {
return fmt.Errorf("remove old credential %s: %w", entry.Name(), err)
}
}
return nil
}
// LoadAllCredentials loads all saved account credentials.
func LoadAllCredentials() ([]*Credentials, error) {
dir, err := AccountsDir()
if err != nil {
return nil, err
}
entries, err := os.ReadDir(dir)
if err != nil {
if os.IsNotExist(err) {
return nil, nil
}
return nil, fmt.Errorf("read accounts dir: %w", err)
}
var result []*Credentials
for _, e := range entries {
if e.IsDir() || filepath.Ext(e.Name()) != ".json" {
continue
}
data, err := os.ReadFile(filepath.Join(dir, e.Name()))
if err != nil {
continue
}
var creds Credentials
if json.Unmarshal(data, &creds) == nil && creds.BotToken != "" {
result = append(result, &creds)
}
}
return result, nil
}
// CredentialsPath returns the path for display purposes.
func CredentialsPath() (string, error) {
return AccountsDir()
}
@@ -0,0 +1,36 @@
package ilink
import (
"os"
"path/filepath"
"testing"
)
func TestSaveCredentialsKeepsOnlyLatestAccount(t *testing.T) {
t.Setenv("HOME", t.TempDir())
old := &Credentials{ILinkBotID: "bot-old@im.bot", BotToken: "old-token"}
latest := &Credentials{ILinkBotID: "bot-new@im.bot", BotToken: "new-token"}
if err := SaveCredentials(old); err != nil {
t.Fatal(err)
}
dir, err := AccountsDir()
if err != nil {
t.Fatal(err)
}
if err := os.WriteFile(filepath.Join(dir, NormalizeAccountID(old.ILinkBotID)+".sync.json"), []byte(`{}`), 0o600); err != nil {
t.Fatal(err)
}
if err := SaveCredentials(latest); err != nil {
t.Fatal(err)
}
accounts, err := LoadAllCredentials()
if err != nil {
t.Fatal(err)
}
if len(accounts) != 1 || accounts[0].ILinkBotID != latest.ILinkBotID {
t.Fatalf("accounts = %#v", accounts)
}
if _, err := os.Stat(filepath.Join(dir, NormalizeAccountID(old.ILinkBotID)+".sync.json")); !os.IsNotExist(err) {
t.Fatalf("old sync state still exists: %v", err)
}
}
+218
View File
@@ -0,0 +1,218 @@
package ilink
import (
"bytes"
"context"
"crypto/rand"
"encoding/base64"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"net/http"
"time"
)
const (
defaultBaseURL = "https://ilinkai.weixin.qq.com"
longPollTimeout = 35 * time.Second
sendTimeout = 15 * time.Second
)
// Client is an iLink HTTP API client.
type Client struct {
baseURL string
botToken string
botID string
httpClient *http.Client
wechatUIN string
}
// NewClient creates a new iLink API client.
func NewClient(creds *Credentials) *Client {
baseURL := creds.BaseURL
if baseURL == "" {
baseURL = defaultBaseURL
}
return &Client{
baseURL: baseURL,
botToken: creds.BotToken,
botID: creds.ILinkBotID,
httpClient: &http.Client{},
wechatUIN: generateWechatUIN(),
}
}
// NewUnauthenticatedClient creates a client without credentials for login flow.
func NewUnauthenticatedClient() *Client {
return &Client{
baseURL: defaultBaseURL,
httpClient: &http.Client{Timeout: 40 * time.Second},
wechatUIN: generateWechatUIN(),
}
}
// BotID returns the bot's user ID.
func (c *Client) BotID() string {
return c.botID
}
// GetUpdates performs a long-poll for new messages.
func (c *Client) GetUpdates(ctx context.Context, buf string) (*GetUpdatesResponse, error) {
reqBody := GetUpdatesRequest{
GetUpdatesBuf: buf,
BaseInfo: BaseInfo{ChannelVersion: "1.0.0"},
}
ctx, cancel := context.WithTimeout(ctx, longPollTimeout+5*time.Second)
defer cancel()
var resp GetUpdatesResponse
if err := c.doPost(ctx, "/ilink/bot/getupdates", reqBody, &resp); err != nil {
return nil, err
}
return &resp, nil
}
// SendMessage sends a message through iLink.
func (c *Client) SendMessage(ctx context.Context, msg *SendMessageRequest) (*SendMessageResponse, error) {
ctx, cancel := context.WithTimeout(ctx, sendTimeout)
defer cancel()
var resp SendMessageResponse
if err := c.doPost(ctx, "/ilink/bot/sendmessage", msg, &resp); err != nil {
return nil, err
}
return &resp, nil
}
// GetConfig fetches bot config for a user (includes typing_ticket).
func (c *Client) GetConfig(ctx context.Context, userID, contextToken string) (*GetConfigResponse, error) {
ctx, cancel := context.WithTimeout(ctx, 10*time.Second)
defer cancel()
req := GetConfigRequest{
ILinkUserID: userID,
ContextToken: contextToken,
BaseInfo: BaseInfo{},
}
var resp GetConfigResponse
if err := c.doPost(ctx, "/ilink/bot/getconfig", req, &resp); err != nil {
return nil, err
}
return &resp, nil
}
// SendTyping sends a typing indicator to a user.
func (c *Client) SendTyping(ctx context.Context, userID, typingTicket string, status int) error {
ctx, cancel := context.WithTimeout(ctx, 10*time.Second)
defer cancel()
req := SendTypingRequest{
ILinkUserID: userID,
TypingTicket: typingTicket,
Status: status,
BaseInfo: BaseInfo{},
}
var resp SendTypingResponse
if err := c.doPost(ctx, "/ilink/bot/sendtyping", req, &resp); err != nil {
return err
}
if resp.Ret != 0 {
return fmt.Errorf("sendtyping failed: ret=%d errmsg=%s", resp.Ret, resp.ErrMsg)
}
return nil
}
// GetUploadURL gets a pre-signed CDN upload URL for media files.
func (c *Client) GetUploadURL(ctx context.Context, req *GetUploadURLRequest) (*GetUploadURLResponse, error) {
ctx, cancel := context.WithTimeout(ctx, sendTimeout)
defer cancel()
var resp GetUploadURLResponse
if err := c.doPost(ctx, "/ilink/bot/getuploadurl", req, &resp); err != nil {
return nil, err
}
return &resp, nil
}
// BaseURL returns the base URL for CDN operations.
func (c *Client) BaseURL() string {
return c.baseURL
}
func (c *Client) doPost(ctx context.Context, path string, body interface{}, result interface{}) error {
data, err := json.Marshal(body)
if err != nil {
return fmt.Errorf("marshal request: %w", err)
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, c.baseURL+path, bytes.NewReader(data))
if err != nil {
return fmt.Errorf("create request: %w", err)
}
c.setHeaders(req)
resp, err := c.httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return fmt.Errorf("read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("HTTP %d: %s", resp.StatusCode, string(respBody))
}
if err := json.Unmarshal(respBody, result); err != nil {
return fmt.Errorf("unmarshal response: %w", err)
}
return nil
}
func (c *Client) doGet(ctx context.Context, url string, result interface{}) error {
req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
if err != nil {
return fmt.Errorf("create request: %w", err)
}
resp, err := c.httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return fmt.Errorf("read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("HTTP %d: %s", resp.StatusCode, string(respBody))
}
if err := json.Unmarshal(respBody, result); err != nil {
return fmt.Errorf("unmarshal response: %w", err)
}
return nil
}
func (c *Client) setHeaders(req *http.Request) {
req.Header.Set("Content-Type", "application/json")
req.Header.Set("AuthorizationType", "ilink_bot_token")
req.Header.Set("Authorization", "Bearer "+c.botToken)
req.Header.Set("X-WECHAT-UIN", c.wechatUIN)
}
func generateWechatUIN() string {
var n uint32
_ = binary.Read(rand.Reader, binary.LittleEndian, &n)
s := fmt.Sprintf("%d", n)
return base64.StdEncoding.EncodeToString([]byte(s))
}
+181
View File
@@ -0,0 +1,181 @@
package ilink
import (
"context"
"encoding/json"
"fmt"
"log"
"os"
"path/filepath"
"time"
)
const (
maxConsecutiveFailures = 5
initialBackoff = 3 * time.Second
maxBackoff = 60 * time.Second
sessionExpiredBackoff = 5 * time.Second
errCodeSessionExpired = -14
)
// MessageHandler is called for each received message.
type MessageHandler func(ctx context.Context, client *Client, msg WeixinMessage)
// Monitor manages the long-poll loop for receiving messages.
type Monitor struct {
client *Client
handler MessageHandler
getUpdatesBuf string
bufPath string
failures int
lastActivity time.Time
}
// NewMonitor creates a new long-poll monitor.
func NewMonitor(client *Client, handler MessageHandler) (*Monitor, error) {
home, err := os.UserHomeDir()
if err != nil {
return nil, err
}
accountID := NormalizeAccountID(client.BotID())
bufPath := filepath.Join(home, ".wechatexplorer", "wechat-connector", "accounts", accountID+".sync.json")
m := &Monitor{
client: client,
handler: handler,
bufPath: bufPath,
lastActivity: time.Now(),
}
m.loadBuf()
return m, nil
}
// Run starts the long-poll loop. It blocks until ctx is cancelled.
// Automatically recovers from errors with exponential backoff.
func (m *Monitor) Run(ctx context.Context) error {
log.Println("[monitor] starting long-poll loop")
for {
select {
case <-ctx.Done():
log.Println("[monitor] shutting down")
return ctx.Err()
default:
}
resp, err := m.client.GetUpdates(ctx, m.getUpdatesBuf)
if err != nil {
if ctx.Err() != nil {
return ctx.Err()
}
m.failures++
backoff := m.calcBackoff()
log.Printf("[monitor] GetUpdates error (%d/%d, backoff=%s): %v",
m.failures, maxConsecutiveFailures, backoff, err)
if m.failures == maxConsecutiveFailures {
log.Printf("[monitor] WARNING: %d consecutive failures; reconnect from WechatExplorer if this persists.", maxConsecutiveFailures)
}
select {
case <-time.After(backoff):
case <-ctx.Done():
return ctx.Err()
}
continue
}
// Reset failure counter on any successful response
m.failures = 0
m.lastActivity = time.Now()
// Session expired — reset sync buf and reconnect silently
if resp.ErrCode == errCodeSessionExpired {
if m.getUpdatesBuf != "" {
log.Printf("[monitor] session expired, resetting sync buf")
m.getUpdatesBuf = ""
m.saveBuf()
} else {
// Sync buf already empty but still getting session expired:
// the bot token itself has expired. The user needs to re-login.
log.Printf("[monitor] WARNING: WeChat session expired and cannot be auto-recovered; reconnect from WechatExplorer.")
}
select {
case <-time.After(sessionExpiredBackoff):
case <-ctx.Done():
return ctx.Err()
}
continue
}
// Other server errors
if resp.Ret != 0 && resp.ErrCode != 0 {
log.Printf("[monitor] server error: ret=%d errcode=%d errmsg=%s", resp.Ret, resp.ErrCode, resp.ErrMsg)
continue
}
// Update buf for next poll
if resp.GetUpdatesBuf != "" {
m.getUpdatesBuf = resp.GetUpdatesBuf
m.saveBuf()
}
// Process messages concurrently — don't block the poll loop
for _, msg := range resp.Msgs {
go m.handler(ctx, m.client, msg)
}
}
}
// calcBackoff returns an exponential backoff duration capped at maxBackoff.
func (m *Monitor) calcBackoff() time.Duration {
d := initialBackoff
for i := 1; i < m.failures; i++ {
d *= 2
if d > maxBackoff {
return maxBackoff
}
}
return d
}
type syncData struct {
GetUpdatesBuf string `json:"get_updates_buf"`
}
func (m *Monitor) loadBuf() {
data, err := os.ReadFile(m.bufPath)
if err != nil {
return
}
var s syncData
if json.Unmarshal(data, &s) == nil && s.GetUpdatesBuf != "" {
m.getUpdatesBuf = s.GetUpdatesBuf
log.Printf("[monitor] loaded sync buf from %s", m.bufPath)
}
}
func (m *Monitor) saveBuf() {
dir := filepath.Dir(m.bufPath)
if err := os.MkdirAll(dir, 0o700); err != nil {
log.Printf("[monitor] failed to create buf dir: %v", err)
return
}
data, _ := json.Marshal(syncData{GetUpdatesBuf: m.getUpdatesBuf})
if err := os.WriteFile(m.bufPath, data, 0o600); err != nil {
log.Printf("[monitor] failed to save buf: %v", err)
}
}
// FormatMessageSummary returns a short description of a message for logging.
func FormatMessageSummary(msg WeixinMessage) string {
text := ""
for _, item := range msg.ItemList {
if item.Type == ItemTypeText && item.TextItem != nil {
text = item.TextItem.Text
break
}
}
if len(text) > 50 {
text = text[:50] + "..."
}
return fmt.Sprintf("from=%s type=%d state=%d text=%q", msg.FromUserID, msg.MessageType, msg.MessageState, text)
}
+219
View File
@@ -0,0 +1,219 @@
package ilink
// Message types
const (
MessageTypeNone = 0
MessageTypeUser = 1
MessageTypeBot = 2
)
// Message states
const (
MessageStateNew = 0
MessageStateGenerating = 1
MessageStateFinish = 2
)
// Item types
const (
ItemTypeNone = 0
ItemTypeText = 1
ItemTypeImage = 2
ItemTypeVoice = 3
ItemTypeFile = 4
ItemTypeVideo = 5
)
// QRCodeResponse is the response from get_bot_qrcode.
type QRCodeResponse struct {
QRCode string `json:"qrcode"`
QRCodeImgContent string `json:"qrcode_img_content"`
}
// QRStatusResponse is the response from get_qrcode_status.
type QRStatusResponse struct {
Status string `json:"status"`
BotToken string `json:"bot_token"`
ILinkBotID string `json:"ilink_bot_id"`
BaseURL string `json:"baseurl"`
ILinkUserID string `json:"ilink_user_id"`
}
// Credentials stores login session data.
type Credentials struct {
BotToken string `json:"bot_token"`
ILinkBotID string `json:"ilink_bot_id"`
BaseURL string `json:"baseurl"`
ILinkUserID string `json:"ilink_user_id"`
}
// BaseInfo is included in request bodies.
type BaseInfo struct {
ChannelVersion string `json:"channel_version,omitempty"`
}
// GetUpdatesRequest is the body for getupdates.
type GetUpdatesRequest struct {
GetUpdatesBuf string `json:"get_updates_buf"`
BaseInfo BaseInfo `json:"base_info"`
}
// GetUpdatesResponse is the response from getupdates.
type GetUpdatesResponse struct {
Ret int `json:"ret"`
ErrCode int `json:"errcode,omitempty"`
ErrMsg string `json:"errmsg,omitempty"`
Msgs []WeixinMessage `json:"msgs"`
GetUpdatesBuf string `json:"get_updates_buf"`
LongPollingTimeoutMs int `json:"longpolling_timeout_ms,omitempty"`
}
// WeixinMessage represents a message from WeChat.
type WeixinMessage struct {
Seq int `json:"seq,omitempty"`
MessageID int64 `json:"message_id,omitempty"`
FromUserID string `json:"from_user_id"`
ToUserID string `json:"to_user_id"`
MessageType int `json:"message_type"`
MessageState int `json:"message_state"`
ItemList []MessageItem `json:"item_list"`
ContextToken string `json:"context_token"`
}
// MessageItem is a single item in a message.
type MessageItem struct {
Type int `json:"type"`
TextItem *TextItem `json:"text_item,omitempty"`
ImageItem *ImageItem `json:"image_item,omitempty"`
VoiceItem *VoiceItem `json:"voice_item,omitempty"`
VideoItem *VideoItem `json:"video_item,omitempty"`
FileItem *FileItem `json:"file_item,omitempty"`
}
// CDN media type constants.
const (
CDNMediaTypeImage = 1
CDNMediaTypeVideo = 2
CDNMediaTypeFile = 3
)
// GetUploadURLRequest is the body for getuploadurl.
type GetUploadURLRequest struct {
FileKey string `json:"filekey"`
MediaType int `json:"media_type"`
ToUserID string `json:"to_user_id"`
RawSize int `json:"rawsize"`
RawFileMD5 string `json:"rawfilemd5"`
FileSize int `json:"filesize"`
NoNeedThumb bool `json:"no_need_thumb"`
AESKey string `json:"aeskey"`
BaseInfo BaseInfo `json:"base_info"`
}
// GetUploadURLResponse is the response from getuploadurl.
type GetUploadURLResponse struct {
Ret int `json:"ret"`
ErrMsg string `json:"errmsg,omitempty"`
UploadParam string `json:"upload_param"`
UploadFullURL string `json:"upload_full_url,omitempty"`
}
// TextItem holds text content.
type TextItem struct {
Text string `json:"text"`
}
// MediaInfo holds CDN media reference for uploaded files.
type MediaInfo struct {
EncryptQueryParam string `json:"encrypt_query_param"`
AESKey string `json:"aes_key"` // base64-encoded
EncryptType int `json:"encrypt_type"` // 1 = AES-128-ECB
}
// VoiceItem holds voice content.
type VoiceItem struct {
Media *MediaInfo `json:"media,omitempty"`
VoiceSize int `json:"voice_size,omitempty"`
EncodeType int `json:"encode_type,omitempty"` // 1=pcm 2=adpcm 3=feature 4=speex 5=amr 6=silk 7=mp3
BitsPerSample int `json:"bits_per_sample,omitempty"`
SampleRate int `json:"sample_rate,omitempty"` // Hz
Playtime int `json:"playtime,omitempty"` // duration in milliseconds
Text string `json:"text,omitempty"` // speech-to-text transcription from WeChat
}
// ImageItem holds image content.
type ImageItem struct {
URL string `json:"url,omitempty"`
Media *MediaInfo `json:"media,omitempty"`
MidSize int `json:"mid_size,omitempty"` // ciphertext size
}
// VideoItem holds video content.
type VideoItem struct {
Media *MediaInfo `json:"media,omitempty"`
VideoSize int `json:"video_size,omitempty"`
}
// FileItem holds file content.
type FileItem struct {
Media *MediaInfo `json:"media,omitempty"`
FileName string `json:"file_name,omitempty"`
Len string `json:"len,omitempty"` // plaintext size as string
}
// SendMessageRequest is the body for sendmessage.
type SendMessageRequest struct {
Msg SendMsg `json:"msg"`
BaseInfo BaseInfo `json:"base_info"`
}
// SendMsg is the message payload for sending.
type SendMsg struct {
FromUserID string `json:"from_user_id"`
ToUserID string `json:"to_user_id"`
ClientID string `json:"client_id"`
MessageType int `json:"message_type"`
MessageState int `json:"message_state"`
ItemList []MessageItem `json:"item_list"`
ContextToken string `json:"context_token"`
}
// SendMessageResponse is the response from sendmessage.
type SendMessageResponse struct {
Ret int `json:"ret"`
ErrMsg string `json:"errmsg,omitempty"`
}
// Typing status constants.
const (
TypingStatusTyping = 1
TypingStatusCancel = 2
)
// GetConfigRequest is the body for getconfig.
type GetConfigRequest struct {
ILinkUserID string `json:"ilink_user_id"`
ContextToken string `json:"context_token,omitempty"`
BaseInfo BaseInfo `json:"base_info"`
}
// GetConfigResponse is the response from getconfig.
type GetConfigResponse struct {
Ret int `json:"ret"`
ErrMsg string `json:"errmsg,omitempty"`
TypingTicket string `json:"typing_ticket,omitempty"`
}
// SendTypingRequest is the body for sendtyping.
type SendTypingRequest struct {
ILinkUserID string `json:"ilink_user_id"`
TypingTicket string `json:"typing_ticket"`
Status int `json:"status"`
BaseInfo BaseInfo `json:"base_info"`
}
// SendTypingResponse is the response from sendtyping.
type SendTypingResponse struct {
Ret int `json:"ret"`
ErrMsg string `json:"errmsg,omitempty"`
}
+200
View File
@@ -0,0 +1,200 @@
package main
import (
"context"
"encoding/base64"
"encoding/json"
"errors"
"flag"
"fmt"
"log"
"os"
"os/signal"
"strings"
"sync"
"syscall"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/api"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/messaging"
"rsc.io/qr"
)
type loginEvent struct {
Status string `json:"status"`
QRCodeDataURL string `json:"qr_code_data_url,omitempty"`
AccountID string `json:"account_id,omitempty"`
WeChatUserID string `json:"wechat_user_id,omitempty"`
}
type accountSummary struct {
AccountID string `json:"account_id"`
WeChatUserID string `json:"wechat_user_id"`
}
func main() {
if len(os.Args) < 2 {
fatal(errors.New("expected one of: login, accounts, start"))
}
var err error
switch os.Args[1] {
case "login":
err = runLogin(os.Args[2:])
case "accounts":
err = runAccounts(os.Args[2:])
case "start":
err = runStart(os.Args[2:])
default:
err = fmt.Errorf("unknown command %q", os.Args[1])
}
if err != nil {
fatal(err)
}
}
func fatal(err error) {
fmt.Fprintln(os.Stderr, err)
os.Exit(1)
}
func signalContext() (context.Context, context.CancelFunc) {
return signal.NotifyContext(context.Background(), syscall.SIGINT, syscall.SIGTERM)
}
func runLogin(args []string) error {
flags := flag.NewFlagSet("login", flag.ContinueOnError)
jsonOutput := flags.Bool("json", false, "emit JSON Lines events")
if err := flags.Parse(args); err != nil {
return err
}
ctx, cancel := signalContext()
defer cancel()
creds, err := login(ctx, *jsonOutput)
if err != nil {
return err
}
if !*jsonOutput {
fmt.Printf("WeChat account %s connected.\n", creds.ILinkBotID)
}
return nil
}
func login(ctx context.Context, jsonOutput bool) (*ilink.Credentials, error) {
qrResponse, err := ilink.FetchQRCode(ctx)
if err != nil {
return nil, err
}
code, err := qr.Encode(qrResponse.QRCodeImgContent, qr.L)
if err != nil {
return nil, fmt.Errorf("encode QR image: %w", err)
}
emit := func(event loginEvent) {
if jsonOutput {
_ = json.NewEncoder(os.Stdout).Encode(event)
}
}
emit(loginEvent{Status: "qrcode", QRCodeDataURL: "data:image/png;base64," + base64.StdEncoding.EncodeToString(code.PNG())})
lastStatus := ""
creds, err := ilink.PollQRStatus(ctx, qrResponse.QRCode, func(status string) {
if status != lastStatus {
lastStatus = status
emit(loginEvent{Status: status})
}
})
if err != nil {
return nil, err
}
if err := ilink.SaveCredentials(creds); err != nil {
return nil, fmt.Errorf("save credentials: %w", err)
}
emit(loginEvent{Status: "active", AccountID: creds.ILinkBotID, WeChatUserID: creds.ILinkUserID})
return creds, nil
}
func runAccounts(args []string) error {
flags := flag.NewFlagSet("accounts", flag.ContinueOnError)
jsonOutput := flags.Bool("json", false, "print JSON")
if err := flags.Parse(args); err != nil {
return err
}
accounts, err := ilink.LoadAllCredentials()
if err != nil {
return err
}
items := make([]accountSummary, 0, len(accounts))
for _, account := range accounts {
items = append(items, accountSummary{AccountID: account.ILinkBotID, WeChatUserID: account.ILinkUserID})
}
if *jsonOutput {
return json.NewEncoder(os.Stdout).Encode(map[string]any{"accounts": items})
}
for _, item := range items {
fmt.Printf("%s\t%s\n", item.AccountID, item.WeChatUserID)
}
return nil
}
func runStart(args []string) error {
flags := flag.NewFlagSet("start", flag.ContinueOnError)
_ = flags.Bool("foreground", false, "kept for host compatibility")
apiAddr := flags.String("api-addr", "127.0.0.1:18011", "local send API address")
accountID := flags.String("account-id", "", "account to start")
if err := flags.Parse(args); err != nil {
return err
}
accounts, err := ilink.LoadAllCredentials()
if err != nil {
return err
}
if len(accounts) == 0 {
return errors.New("no connected WeChat account; scan a QR code first")
}
selected := accounts[len(accounts)-1]
if *accountID != "" {
selected = nil
for _, account := range accounts {
if account.ILinkBotID == *accountID {
selected = account
break
}
}
if selected == nil {
return fmt.Errorf("account %q not found", *accountID)
}
}
ctx, cancel := signalContext()
defer cancel()
client := ilink.NewClient(selected)
server := api.NewServer([]*ilink.Client{client}, *apiAddr)
webhookURL := strings.TrimSpace(os.Getenv("WECHAT_CONNECTOR_INBOUND_WEBHOOK_URL"))
webhook := messaging.NewInboundWebhook(webhookURL, os.Getenv("WECHAT_CONNECTOR_INBOUND_WEBHOOK_TOKEN"))
monitor, err := ilink.NewMonitor(client, func(messageContext context.Context, source *ilink.Client, message ilink.WeixinMessage) {
if webhookURL != "" {
webhook.Dispatch(messageContext, source, message)
}
})
if err != nil {
return err
}
var wait sync.WaitGroup
wait.Add(2)
go func() {
defer wait.Done()
if err := server.Run(ctx); err != nil && ctx.Err() == nil {
log.Printf("[api] stopped: %v", err)
cancel()
}
}()
go func() {
defer wait.Done()
if err := monitor.Run(ctx); err != nil && ctx.Err() == nil {
log.Printf("[monitor] stopped: %v", err)
cancel()
}
}()
wait.Wait()
return nil
}
+232
View File
@@ -0,0 +1,232 @@
package messaging
import (
"bytes"
"context"
"crypto/aes"
"crypto/md5"
"crypto/rand"
"encoding/base64"
"encoding/hex"
"fmt"
"io"
"net/http"
"net/url"
"strings"
"time"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
)
const cdnBaseURL = "https://novac2c.cdn.weixin.qq.com/c2c"
// UploadedFile holds the result of a CDN upload.
type UploadedFile struct {
DownloadParam string // encrypted query param for download
AESKeyHex string // hex-encoded AES key
FileSize int // plaintext size
CipherSize int // ciphertext size
}
// UploadFileToCDN encrypts and uploads a file to the WeChat CDN.
func UploadFileToCDN(ctx context.Context, client *ilink.Client, data []byte, toUserID string, mediaType int) (*UploadedFile, error) {
// Generate random filekey and AES key
filekey := make([]byte, 16)
aeskey := make([]byte, 16)
if _, err := rand.Read(filekey); err != nil {
return nil, fmt.Errorf("generate filekey: %w", err)
}
if _, err := rand.Read(aeskey); err != nil {
return nil, fmt.Errorf("generate aeskey: %w", err)
}
filekeyHex := hex.EncodeToString(filekey)
aeskeyHex := hex.EncodeToString(aeskey)
// Calculate MD5 of plaintext
hash := md5.Sum(data)
rawMD5 := hex.EncodeToString(hash[:])
// Calculate ciphertext size (PKCS7 padding)
cipherSize := aesECBPaddedSize(len(data))
// Get upload URL from iLink API
uploadReq := &ilink.GetUploadURLRequest{
FileKey: filekeyHex,
MediaType: mediaType,
ToUserID: toUserID,
RawSize: len(data),
RawFileMD5: rawMD5,
FileSize: cipherSize,
NoNeedThumb: true,
AESKey: aeskeyHex,
BaseInfo: ilink.BaseInfo{},
}
uploadResp, err := client.GetUploadURL(ctx, uploadReq)
if err != nil {
return nil, fmt.Errorf("get upload URL: %w", err)
}
if uploadResp.Ret != 0 {
return nil, fmt.Errorf("get upload URL failed: ret=%d errmsg=%s", uploadResp.Ret, uploadResp.ErrMsg)
}
// Encrypt data with AES-128-ECB
encrypted, err := encryptAESECB(data, aeskey)
if err != nil {
return nil, fmt.Errorf("encrypt: %w", err)
}
// Upload to CDN: prefer server-provided full URL, fall back to param-based construction
cdnURL := strings.TrimSpace(uploadResp.UploadFullURL)
if cdnURL == "" {
if uploadResp.UploadParam == "" {
return nil, fmt.Errorf("getuploadurl returned no upload URL (need upload_full_url or upload_param)")
}
cdnURL = fmt.Sprintf("%s/upload?encrypted_query_param=%s&filekey=%s",
cdnBaseURL, url.QueryEscape(uploadResp.UploadParam), url.QueryEscape(filekeyHex))
}
downloadParam, err := uploadToCDN(ctx, encrypted, cdnURL)
if err != nil {
return nil, fmt.Errorf("CDN upload: %w", err)
}
return &UploadedFile{
DownloadParam: downloadParam,
AESKeyHex: aeskeyHex,
FileSize: len(data),
CipherSize: cipherSize,
}, nil
}
// AESKeyToBase64 converts a hex AES key to base64 format for message items.
func AESKeyToBase64(hexKey string) string {
return base64.StdEncoding.EncodeToString([]byte(hexKey))
}
// DownloadFileFromCDN downloads and decrypts a file from the WeChat CDN.
func DownloadFileFromCDN(ctx context.Context, encryptQueryParam, aesKeyBase64 string) ([]byte, error) {
// Decode AES key: base64 -> hex string -> raw bytes
aesKeyHexBytes, err := base64.StdEncoding.DecodeString(aesKeyBase64)
if err != nil {
return nil, fmt.Errorf("decode AES key base64: %w", err)
}
aesKey, err := hex.DecodeString(string(aesKeyHexBytes))
if err != nil {
return nil, fmt.Errorf("decode AES key hex: %w", err)
}
// Download encrypted data from CDN
downloadURL := fmt.Sprintf("%s/download?encrypted_query_param=%s",
cdnBaseURL, url.QueryEscape(encryptQueryParam))
reqCtx, cancel := context.WithTimeout(ctx, 60*time.Second)
defer cancel()
req, err := http.NewRequestWithContext(reqCtx, http.MethodGet, downloadURL, nil)
if err != nil {
return nil, fmt.Errorf("create download request: %w", err)
}
resp, err := http.DefaultClient.Do(req)
if err != nil {
return nil, fmt.Errorf("download from CDN: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return nil, fmt.Errorf("CDN download HTTP %d: %s", resp.StatusCode, string(body))
}
encrypted, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("read CDN response: %w", err)
}
// Decrypt AES-128-ECB
return decryptAESECB(encrypted, aesKey)
}
// decryptAESECB decrypts data encrypted with AES-128-ECB and removes PKCS7 padding.
func decryptAESECB(ciphertext, key []byte) ([]byte, error) {
block, err := aes.NewCipher(key)
if err != nil {
return nil, err
}
if len(ciphertext)%aes.BlockSize != 0 {
return nil, fmt.Errorf("ciphertext is not a multiple of block size")
}
plaintext := make([]byte, len(ciphertext))
for i := 0; i < len(ciphertext); i += aes.BlockSize {
block.Decrypt(plaintext[i:i+aes.BlockSize], ciphertext[i:i+aes.BlockSize])
}
// Remove PKCS7 padding
if len(plaintext) == 0 {
return plaintext, nil
}
padLen := int(plaintext[len(plaintext)-1])
if padLen > aes.BlockSize || padLen == 0 {
return nil, fmt.Errorf("invalid PKCS7 padding")
}
return plaintext[:len(plaintext)-padLen], nil
}
func uploadToCDN(ctx context.Context, encrypted []byte, cdnURL string) (string, error) {
req, err := http.NewRequestWithContext(ctx, http.MethodPost, cdnURL, bytes.NewReader(encrypted))
if err != nil {
return "", err
}
req.Header.Set("Content-Type", "application/octet-stream")
client := &http.Client{Timeout: 60 * time.Second}
resp, err := client.Do(req)
if err != nil {
return "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return "", fmt.Errorf("CDN upload HTTP %d: %s", resp.StatusCode, string(body))
}
downloadParam := resp.Header.Get("X-Encrypted-Param")
if downloadParam == "" {
return "", fmt.Errorf("CDN upload: missing X-Encrypted-Param header")
}
return downloadParam, nil
}
// encryptAESECB encrypts data using AES-128-ECB with PKCS7 padding.
func encryptAESECB(plaintext, key []byte) ([]byte, error) {
block, err := aes.NewCipher(key)
if err != nil {
return nil, err
}
// PKCS7 padding
padLen := aes.BlockSize - (len(plaintext) % aes.BlockSize)
padded := make([]byte, len(plaintext)+padLen)
copy(padded, plaintext)
for i := len(plaintext); i < len(padded); i++ {
padded[i] = byte(padLen)
}
// ECB mode: encrypt each block independently
encrypted := make([]byte, len(padded))
for i := 0; i < len(padded); i += aes.BlockSize {
block.Encrypt(encrypted[i:i+aes.BlockSize], padded[i:i+aes.BlockSize])
}
return encrypted, nil
}
func aesECBPaddedSize(plaintextSize int) int {
return (plaintextSize/aes.BlockSize + 1) * aes.BlockSize
}
@@ -0,0 +1,121 @@
package messaging
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"log"
"net/http"
"strings"
"time"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
)
const (
webhookAttempts = 3
webhookTimeout = 5 * time.Second
)
type InboundWebhook struct {
url string
token string
client *http.Client
}
type inboundWebhookPayload struct {
AccountID string `json:"account_id"`
FromUserID string `json:"from_user_id"`
MessageID int64 `json:"message_id"`
MessageType int `json:"message_type"`
Items []inboundWebhookItem `json:"items"`
ReceivedAt time.Time `json:"received_at"`
}
type inboundWebhookItem struct {
Type int `json:"type"`
Text string `json:"text,omitempty"`
}
func NewInboundWebhook(url, token string) *InboundWebhook {
return &InboundWebhook{
url: strings.TrimSpace(url),
token: token,
client: &http.Client{Timeout: webhookTimeout},
}
}
// Dispatch is intentionally non-blocking so webhook failures never stall iLink polling.
func (w *InboundWebhook) Dispatch(ctx context.Context, client *ilink.Client, msg ilink.WeixinMessage) {
payload := normalizeInboundMessage(client.BotID(), msg)
go func() {
if err := w.deliver(ctx, payload); err != nil {
log.Printf("[webhook] inbound delivery failed for message %d: %v", msg.MessageID, err)
}
}()
}
func (w *InboundWebhook) deliver(ctx context.Context, payload inboundWebhookPayload) error {
body, err := json.Marshal(payload)
if err != nil {
return fmt.Errorf("encode payload: %w", err)
}
var lastErr error
for attempt := 1; attempt <= webhookAttempts; attempt++ {
if attempt > 1 {
timer := time.NewTimer(time.Duration(attempt-1) * time.Second)
select {
case <-ctx.Done():
timer.Stop()
return ctx.Err()
case <-timer.C:
}
}
req, reqErr := http.NewRequestWithContext(ctx, http.MethodPost, w.url, bytes.NewReader(body))
if reqErr != nil {
return fmt.Errorf("create request: %w", reqErr)
}
req.Header.Set("Content-Type", "application/json")
if w.token != "" {
req.Header.Set("Authorization", "Bearer "+w.token)
}
resp, doErr := w.client.Do(req)
if doErr != nil {
lastErr = doErr
continue
}
responseBody, _ := io.ReadAll(io.LimitReader(resp.Body, 4096))
resp.Body.Close()
if resp.StatusCode >= 200 && resp.StatusCode < 300 {
return nil
}
lastErr = fmt.Errorf("status %s: %s", resp.Status, strings.TrimSpace(string(responseBody)))
if resp.StatusCode >= 400 && resp.StatusCode < 500 {
break
}
}
return lastErr
}
func normalizeInboundMessage(accountID string, msg ilink.WeixinMessage) inboundWebhookPayload {
items := make([]inboundWebhookItem, 0, len(msg.ItemList))
for _, item := range msg.ItemList {
normalized := inboundWebhookItem{Type: item.Type}
if item.TextItem != nil {
normalized.Text = item.TextItem.Text
} else if item.VoiceItem != nil {
normalized.Text = item.VoiceItem.Text
}
items = append(items, normalized)
}
return inboundWebhookPayload{
AccountID: accountID,
FromUserID: msg.FromUserID,
MessageID: msg.MessageID,
MessageType: msg.MessageType,
Items: items,
ReceivedAt: time.Now().UTC(),
}
}
@@ -0,0 +1,75 @@
package messaging
import (
"context"
"encoding/json"
"net/http"
"net/http/httptest"
"sync/atomic"
"testing"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
)
func TestInboundWebhookDeliversNormalizedPayload(t *testing.T) {
var got inboundWebhookPayload
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if r.Header.Get("Authorization") != "Bearer secret" {
t.Errorf("authorization = %q", r.Header.Get("Authorization"))
}
if err := json.NewDecoder(r.Body).Decode(&got); err != nil {
t.Errorf("decode: %v", err)
}
w.WriteHeader(http.StatusOK)
}))
defer server.Close()
webhook := NewInboundWebhook(server.URL, "secret")
err := webhook.deliver(context.Background(), normalizeInboundMessage("bot-new", ilink.WeixinMessage{
MessageID: 7, FromUserID: "user-1", MessageType: ilink.MessageTypeUser,
ItemList: []ilink.MessageItem{{Type: ilink.ItemTypeText, TextItem: &ilink.TextItem{Text: "最近5条消息"}}},
}))
if err != nil {
t.Fatalf("deliver: %v", err)
}
if got.AccountID != "bot-new" || got.MessageID != 7 || len(got.Items) != 1 || got.Items[0].Text != "最近5条消息" {
t.Fatalf("payload = %#v", got)
}
}
func TestInboundWebhookRetriesServerErrors(t *testing.T) {
var calls atomic.Int32
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, _ *http.Request) {
if calls.Add(1) < 3 {
http.Error(w, "temporary", http.StatusServiceUnavailable)
return
}
w.WriteHeader(http.StatusOK)
}))
defer server.Close()
webhook := NewInboundWebhook(server.URL, "")
if err := webhook.deliver(context.Background(), inboundWebhookPayload{}); err != nil {
t.Fatalf("deliver: %v", err)
}
if calls.Load() != 3 {
t.Fatalf("calls = %d, want 3", calls.Load())
}
}
func TestInboundWebhookDoesNotRetryClientErrors(t *testing.T) {
var calls atomic.Int32
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, _ *http.Request) {
calls.Add(1)
http.Error(w, "unauthorized", http.StatusUnauthorized)
}))
defer server.Close()
webhook := NewInboundWebhook(server.URL, "")
if err := webhook.deliver(context.Background(), inboundWebhookPayload{}); err == nil {
t.Fatal("deliver error = nil")
}
if calls.Load() != 1 {
t.Fatalf("calls = %d, want 1", calls.Load())
}
}
@@ -0,0 +1,103 @@
package messaging
import (
"regexp"
"strings"
)
var (
// Code blocks: strip fences, keep code content
reCodeBlock = regexp.MustCompile("(?s)```[^\n]*\n?(.*?)```")
// Inline code: strip backticks, keep content
reInlineCode = regexp.MustCompile("`([^`]+)`")
// Images: remove entirely
reImage = regexp.MustCompile(`!\[[^\]]*\]\([^)]*\)`)
// Links: keep display text only
reLink = regexp.MustCompile(`\[([^\]]+)\]\([^)]*\)`)
// Table separator rows: remove
reTableSep = regexp.MustCompile(`(?m)^\|[\s:|\-]+\|$`)
// Table rows: convert pipe-delimited to space-delimited
reTableRow = regexp.MustCompile(`(?m)^\|(.+)\|$`)
// Headers: remove # prefix
reHeader = regexp.MustCompile(`(?m)^#{1,6}\s+`)
// Bold: **text** or __text__
reBold = regexp.MustCompile(`\*\*(.+?)\*\*|__(.+?)__`)
// Italic: *text* or _text_
reItalic = regexp.MustCompile(`(?:^|[^*])\*([^*]+)\*(?:[^*]|$)|(?:^|[^_])_([^_]+)_(?:[^_]|$)`)
// Strikethrough: ~~text~~
reStrike = regexp.MustCompile(`~~(.+?)~~`)
// Blockquote: > prefix
reBlockquote = regexp.MustCompile(`(?m)^>\s?`)
// Horizontal rule
reHR = regexp.MustCompile(`(?m)^[-*_]{3,}\s*$`)
// Unordered list markers: -, *, +
reUL = regexp.MustCompile(`(?m)^(\s*)[-*+]\s+`)
)
// MarkdownToPlainText converts markdown to readable plain text for WeChat.
func MarkdownToPlainText(text string) string {
result := text
// Code blocks: strip fences, keep code content
result = reCodeBlock.ReplaceAllStringFunc(result, func(match string) string {
parts := reCodeBlock.FindStringSubmatch(match)
if len(parts) > 1 {
return strings.TrimSpace(parts[1])
}
return match
})
// Images: remove entirely
result = reImage.ReplaceAllString(result, "")
// Links: keep display text only
result = reLink.ReplaceAllString(result, "$1")
// Table separator rows: remove
result = reTableSep.ReplaceAllString(result, "")
// Table rows: pipe-delimited to space-delimited
result = reTableRow.ReplaceAllStringFunc(result, func(match string) string {
parts := reTableRow.FindStringSubmatch(match)
if len(parts) > 1 {
cells := strings.Split(parts[1], "|")
for i := range cells {
cells[i] = strings.TrimSpace(cells[i])
}
return strings.Join(cells, " ")
}
return match
})
// Headers: remove # prefix
result = reHeader.ReplaceAllString(result, "")
// Bold
result = reBold.ReplaceAllStringFunc(result, func(match string) string {
parts := reBold.FindStringSubmatch(match)
if parts[1] != "" {
return parts[1]
}
return parts[2]
})
// Strikethrough
result = reStrike.ReplaceAllString(result, "$1")
// Blockquote
result = reBlockquote.ReplaceAllString(result, "")
// Horizontal rule -> empty line
result = reHR.ReplaceAllString(result, "")
// Unordered list: replace markers with "• "
result = reUL.ReplaceAllString(result, "${1}• ")
// Inline code: strip backticks (do after code blocks)
result = reInlineCode.ReplaceAllString(result, "$1")
// Clean up excessive blank lines
result = regexp.MustCompile(`\n{3,}`).ReplaceAllString(result, "\n\n")
return strings.TrimSpace(result)
}
@@ -0,0 +1,221 @@
package messaging
import (
"context"
"fmt"
"io"
"log"
"mime"
"net/http"
"os"
"path/filepath"
"regexp"
"strings"
"time"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
)
// reMarkdownImage matches markdown image syntax: ![alt](url)
var reMarkdownImage = regexp.MustCompile(`!\[[^\]]*\]\(([^)]+)\)`)
// ExtractImageURLs extracts image URLs from markdown text.
func ExtractImageURLs(text string) []string {
matches := reMarkdownImage.FindAllStringSubmatch(text, -1)
var urls []string
for _, m := range matches {
url := strings.TrimSpace(m[1])
if strings.HasPrefix(url, "http://") || strings.HasPrefix(url, "https://") {
urls = append(urls, url)
}
}
return urls
}
// SendMediaFromURL sends a local file or downloads from a URL and sends it as a media message.
func SendMediaFromURL(ctx context.Context, client *ilink.Client, toUserID, mediaURL, contextToken string) error {
// Check if it's a local file
if _, err := os.Stat(mediaURL); err == nil {
return SendMediaFromPath(ctx, client, toUserID, mediaURL, contextToken)
}
// Must be a valid HTTP URL to download
if !strings.HasPrefix(mediaURL, "http://") && !strings.HasPrefix(mediaURL, "https://") {
return fmt.Errorf("unsupported media path (not a local file and not an HTTP URL): %s", mediaURL)
}
data, contentType, err := downloadFile(ctx, mediaURL)
if err != nil {
return fmt.Errorf("download %s: %w", mediaURL, err)
}
return sendMediaData(ctx, client, toUserID, filenameFromURL(mediaURL), mediaURL, data, contentType, contextToken)
}
// SendMediaFromPath reads a local file and sends it as a media message.
func SendMediaFromPath(ctx context.Context, client *ilink.Client, toUserID, path, contextToken string) error {
data, err := os.ReadFile(path)
if err != nil {
return fmt.Errorf("read %s: %w", path, err)
}
return sendMediaData(ctx, client, toUserID, filepath.Base(path), path, data, inferContentType(path), contextToken)
}
func sendMediaData(ctx context.Context, client *ilink.Client, toUserID, fileName, source string, data []byte, contentType, contextToken string) error {
if fileName == "" {
fileName = "file"
}
cdnMediaType, itemType := classifyMedia(contentType, source)
log.Printf("[media] uploading %s (%s, %d bytes) for %s", source, contentType, len(data), toUserID)
uploaded, err := UploadFileToCDN(ctx, client, data, toUserID, cdnMediaType)
if err != nil {
return fmt.Errorf("upload to CDN: %w", err)
}
media := &ilink.MediaInfo{
EncryptQueryParam: uploaded.DownloadParam,
AESKey: AESKeyToBase64(uploaded.AESKeyHex),
EncryptType: 1,
}
var item ilink.MessageItem
switch itemType {
case ilink.ItemTypeImage:
item = ilink.MessageItem{
Type: ilink.ItemTypeImage,
ImageItem: &ilink.ImageItem{
Media: media,
MidSize: uploaded.CipherSize,
},
}
case ilink.ItemTypeVideo:
item = ilink.MessageItem{
Type: ilink.ItemTypeVideo,
VideoItem: &ilink.VideoItem{
Media: media,
VideoSize: uploaded.CipherSize,
},
}
default:
item = ilink.MessageItem{
Type: ilink.ItemTypeFile,
FileItem: &ilink.FileItem{
Media: media,
FileName: fileName,
Len: fmt.Sprintf("%d", uploaded.FileSize),
},
}
}
req := &ilink.SendMessageRequest{
Msg: ilink.SendMsg{
FromUserID: client.BotID(),
ToUserID: toUserID,
ClientID: NewClientID(),
MessageType: ilink.MessageTypeBot,
MessageState: ilink.MessageStateFinish,
ItemList: []ilink.MessageItem{item},
ContextToken: contextToken,
},
BaseInfo: ilink.BaseInfo{},
}
resp, err := client.SendMessage(ctx, req)
if err != nil {
return fmt.Errorf("send media message: %w", err)
}
if resp.Ret != 0 {
return fmt.Errorf("send media failed: ret=%d errmsg=%s", resp.Ret, resp.ErrMsg)
}
log.Printf("[media] sent %s to %s from %s", contentType, toUserID, source)
return nil
}
func downloadFile(ctx context.Context, url string) ([]byte, string, error) {
ctx, cancel := context.WithTimeout(ctx, 60*time.Second)
defer cancel()
req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
if err != nil {
return nil, "", err
}
resp, err := http.DefaultClient.Do(req)
if err != nil {
return nil, "", err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return nil, "", fmt.Errorf("HTTP %d", resp.StatusCode)
}
data, err := io.ReadAll(resp.Body)
if err != nil {
return nil, "", err
}
contentType := resp.Header.Get("Content-Type")
if contentType == "" {
contentType = inferContentType(url)
}
return data, contentType, nil
}
func classifyMedia(contentType, url string) (cdnMediaType int, itemType int) {
ct := strings.ToLower(contentType)
if strings.HasPrefix(ct, "image/") || isImageExt(url) {
return ilink.CDNMediaTypeImage, ilink.ItemTypeImage
}
if strings.HasPrefix(ct, "video/") || isVideoExt(url) {
return ilink.CDNMediaTypeVideo, ilink.ItemTypeVideo
}
return ilink.CDNMediaTypeFile, ilink.ItemTypeFile
}
func isImageExt(url string) bool {
ext := strings.ToLower(filepath.Ext(stripQuery(url)))
switch ext {
case ".png", ".jpg", ".jpeg", ".gif", ".webp", ".bmp":
return true
}
return false
}
func isVideoExt(url string) bool {
ext := strings.ToLower(filepath.Ext(stripQuery(url)))
switch ext {
case ".mp4", ".mov", ".webm", ".mkv", ".avi":
return true
}
return false
}
func inferContentType(url string) string {
ext := filepath.Ext(stripQuery(url))
if ct := mime.TypeByExtension(ext); ct != "" {
return ct
}
return "application/octet-stream"
}
func filenameFromURL(rawURL string) string {
u := stripQuery(rawURL)
name := filepath.Base(u)
if name == "" || name == "." || name == "/" {
return "file"
}
return name
}
func stripQuery(rawURL string) string {
if i := strings.IndexByte(rawURL, '?'); i >= 0 {
return rawURL[:i]
}
return rawURL
}
@@ -0,0 +1,73 @@
package messaging
import "testing"
func TestExtractImageURLs(t *testing.T) {
text := "check ![img](https://example.com/a.png) and ![](https://example.com/b.jpg)"
urls := ExtractImageURLs(text)
if len(urls) != 2 {
t.Fatalf("expected 2 urls, got %d", len(urls))
}
if urls[0] != "https://example.com/a.png" {
t.Errorf("urls[0] = %q", urls[0])
}
if urls[1] != "https://example.com/b.jpg" {
t.Errorf("urls[1] = %q", urls[1])
}
}
func TestExtractImageURLs_NoImages(t *testing.T) {
urls := ExtractImageURLs("just plain text")
if len(urls) != 0 {
t.Errorf("expected 0 urls, got %d", len(urls))
}
}
func TestExtractImageURLs_RelativeURL(t *testing.T) {
text := "![img](./local.png)"
urls := ExtractImageURLs(text)
if len(urls) != 0 {
t.Errorf("expected 0 urls for relative path, got %d", len(urls))
}
}
func TestFilenameFromURL(t *testing.T) {
tests := []struct {
url string
want string
}{
{"https://example.com/photo.png", "photo.png"},
{"https://example.com/path/to/report.pdf", "report.pdf"},
{"https://example.com/file", "file"},
}
for _, tt := range tests {
got := filenameFromURL(tt.url)
if got != tt.want {
t.Errorf("filenameFromURL(%q) = %q, want %q", tt.url, got, tt.want)
}
}
}
func TestFilenameFromURL_WithQuery(t *testing.T) {
got := filenameFromURL("https://example.com/photo.png?token=abc")
if got != "photo.png" {
t.Errorf("got %q, want %q", got, "photo.png")
}
}
func TestStripQuery(t *testing.T) {
tests := []struct {
input string
want string
}{
{"https://example.com/a?b=c", "https://example.com/a"},
{"https://example.com/a", "https://example.com/a"},
{"https://example.com/?x=1&y=2", "https://example.com/"},
}
for _, tt := range tests {
got := stripQuery(tt.input)
if got != tt.want {
t.Errorf("stripQuery(%q) = %q, want %q", tt.input, got, tt.want)
}
}
}
@@ -0,0 +1,86 @@
package messaging
import (
"context"
"fmt"
"log"
"github.com/Wxw-Gu/WechatExplorer/services/wechat-connector/ilink"
"github.com/google/uuid"
)
// NewClientID generates a new unique client ID for message correlation.
func NewClientID() string {
return uuid.New().String()
}
// SendTypingState sends a typing indicator to a user via the iLink sendtyping API.
// It first fetches a typing_ticket via getconfig, then sends the typing status.
func SendTypingState(ctx context.Context, client *ilink.Client, userID, contextToken string) error {
// Get typing ticket
configResp, err := client.GetConfig(ctx, userID, contextToken)
if err != nil {
return fmt.Errorf("get config for typing: %w", err)
}
if configResp.TypingTicket == "" {
return fmt.Errorf("no typing_ticket returned from getconfig")
}
// Send typing
if err := client.SendTyping(ctx, userID, configResp.TypingTicket, ilink.TypingStatusTyping); err != nil {
return fmt.Errorf("send typing: %w", err)
}
log.Printf("[sender] sent typing indicator to %s", userID)
return nil
}
// SendTextReply sends a text reply to a user through the iLink API.
// If clientID is empty, a new one is generated.
func SendTextReply(ctx context.Context, client *ilink.Client, toUserID, text, contextToken, clientID string) error {
if clientID == "" {
clientID = NewClientID()
}
// Convert markdown to plain text for WeChat display
plainText := MarkdownToPlainText(text)
req := &ilink.SendMessageRequest{
Msg: ilink.SendMsg{
FromUserID: client.BotID(),
ToUserID: toUserID,
ClientID: clientID,
MessageType: ilink.MessageTypeBot,
MessageState: ilink.MessageStateFinish,
ItemList: []ilink.MessageItem{
{
Type: ilink.ItemTypeText,
TextItem: &ilink.TextItem{
Text: plainText,
},
},
},
ContextToken: contextToken,
},
BaseInfo: ilink.BaseInfo{},
}
resp, err := client.SendMessage(ctx, req)
if err != nil {
return fmt.Errorf("send message: %w", err)
}
if resp.Ret != 0 {
return fmt.Errorf("send message failed: ret=%d errmsg=%s", resp.Ret, resp.ErrMsg)
}
log.Printf("[sender] sent reply to %s: %q", toUserID, truncate(text, 50))
return nil
}
func truncate(s string, n int) string {
if len(s) <= n {
return s
}
return s[:n] + "..."
}
+83
View File
@@ -0,0 +1,83 @@
import { app, shell } from 'electron'
import fs from 'fs-extra'
import path from 'path'
import type { AppLogEntry } from '../shared/app-log'
const MAX_LOG_BYTES = 5 * 1024 * 1024
const REDACTED_KEY = /(?:api[-_]?key|authorization|token|secret|password|database[-_]?key)/i
const sanitize = (value: unknown, depth = 0): unknown => {
if (depth > 4) return '[depth-limited]'
if (typeof value === 'string') {
return value
.replace(/\bsk-[a-z0-9_-]{8,}\b/gi, '***')
.replace(/\bBearer\s+[a-z0-9._~-]{8,}\b/gi, 'Bearer ***')
.slice(0, 2000)
}
if (Array.isArray(value)) return value.slice(0, 30).map((item) => sanitize(item, depth + 1))
if (value && typeof value === 'object') {
return Object.fromEntries(
Object.entries(value as Record<string, unknown>).map(([key, item]) => [
key,
REDACTED_KEY.test(key) ? '***' : sanitize(item, depth + 1)
])
)
}
return value
}
export class AppLogger {
private get logDir(): string {
return app.getPath('logs')
}
get logPath(): string {
return path.join(this.logDir, 'wechatexplorer.log')
}
private rotateIfNeeded(): void {
try {
if (!fs.existsSync(this.logPath) || fs.statSync(this.logPath).size < MAX_LOG_BYTES) return
const previous = `${this.logPath}.1`
if (fs.existsSync(previous)) fs.removeSync(previous)
fs.moveSync(this.logPath, previous)
} catch {
// Logging must never interrupt the application.
}
}
write(entry: AppLogEntry): void {
try {
fs.ensureDirSync(this.logDir)
this.rotateIfNeeded()
const record = {
timestamp: new Date().toISOString(),
mode: app.isPackaged ? 'packaged' : 'development',
level: entry.level,
scope: String(entry.scope || 'app').slice(0, 80),
message: String(entry.message || '').slice(0, 500),
details: sanitize(entry.details || {})
}
fs.appendFileSync(this.logPath, `${JSON.stringify(record)}\n`, { encoding: 'utf8' })
if (!app.isPackaged) {
const method =
entry.level === 'error'
? console.error
: entry.level === 'warn'
? console.warn
: console.log
method(`[${record.scope}] ${record.message}`, record.details)
}
} catch {
// Logging must never interrupt the application.
}
}
reveal(): void {
fs.ensureDirSync(this.logDir)
if (!fs.existsSync(this.logPath)) fs.writeFileSync(this.logPath, '', 'utf8')
shell.showItemInFolder(this.logPath)
}
}
export const appLogger = new AppLogger()
+101
View File
@@ -0,0 +1,101 @@
// src/main/db/image-insights-store.ts
// 持久化 ImageInsight 到 JSON 文件(userData/image-insights.json)
// 跟项目现有风格一致(ai-provider-service 用 ai-providers.json)
import { app } from 'electron'
import fs from 'fs-extra'
import path from 'path'
import type { ImageInsight } from '../../shared/image-insight'
interface ImageInsightsFile {
version: 1
/** imageHash -> ImageInsight 索引(缓存查询 O(1)) */
byHash: Record<string, ImageInsight>
/** messageId -> imageHash 反向索引(防止同一 message 重复入库) */
byMessageId: Record<string, string>
}
const EMPTY_FILE: ImageInsightsFile = {
version: 1,
byHash: {},
byMessageId: {}
}
class ImageInsightsStore {
private cache: ImageInsightsFile | null = null
private get filePath(): string {
return path.join(app.getPath('userData'), 'image-insights.json')
}
private ensureLoaded(): ImageInsightsFile {
if (this.cache) return this.cache
try {
if (fs.existsSync(this.filePath)) {
const raw = fs.readJsonSync(this.filePath) as Partial<ImageInsightsFile>
this.cache = {
version: 1,
byHash: raw.byHash || {},
byMessageId: raw.byMessageId || {}
}
return this.cache
}
} catch (error) {
console.warn('[ImageInsightsStore] failed to load, fallback to empty:', error)
}
this.cache = { ...EMPTY_FILE }
return this.cache
}
private persist(): void {
if (!this.cache) return
try {
fs.ensureDirSync(path.dirname(this.filePath))
fs.writeJsonSync(this.filePath, this.cache, { spaces: 2 })
} catch (error) {
console.error('[ImageInsightsStore] failed to persist:', error)
}
}
/** 通过 imageHash 查询缓存 */
getByHash(imageHash: string): ImageInsight | null {
return this.ensureLoaded().byHash[imageHash] || null
}
/** 列出某会话的所有 insights(按时间倒序) */
listBySession(sessionId: string, limit?: number): ImageInsight[] {
const data = this.ensureLoaded()
const items = Object.values(data.byHash)
.filter((it) => it.sessionId === sessionId)
.sort((a, b) => b.sentAt - a.sentAt)
return typeof limit === 'number' ? items.slice(0, limit) : items
}
/**
* 写入或更新 Insight。
* - 同 imageHash 已存在:更新 description/ocrText/tags/category/importance/provider/model/updatedAt(保留 createdAt)
* - 新 hash:插入
* 同步维护 byMessageId 反向索引。
*/
upsert(insight: ImageInsight): void {
const data = this.ensureLoaded()
const existing = data.byHash[insight.imageHash]
const now = Date.now()
if (existing) {
data.byHash[insight.imageHash] = {
...existing,
...insight,
id: existing.id, // 保留 id
createdAt: existing.createdAt, // 保留首次分析时间
updatedAt: now
}
} else {
data.byHash[insight.imageHash] = { ...insight, createdAt: now, updatedAt: now }
data.byMessageId[insight.messageId] = insight.imageHash
}
this.persist()
}
}
export const imageInsightsStore = new ImageInsightsStore()
+295 -34
View File
@@ -6,11 +6,29 @@ import {
GroupReportExportRequest,
GroupReportExportResult,
GroupReportMetadata,
ReportHeat
ReportHeat,
ReportSectionMeta
} from '../shared/group-report'
import { resolveMd5, getGroupSnapshot } from './services/chat-service'
import { imageInsightService } from './services/image-insight-service'
const TEMPLATE_NAME = 'mobile_daily_report.html'
const TEMPLATE_FILES: Record<string, string> = {
v1: 'mobile_daily_report_v1.html',
v2: 'mobile_daily_report_v2.html'
}
const DEFAULT_TEMPLATE = TEMPLATE_FILES.v1
const templatePath = (templateId?: string): string => {
const name = TEMPLATE_FILES[templateId || ''] || DEFAULT_TEMPLATE
const candidates = [
path.join(process.resourcesPath, 'resources', name),
path.join(app.getAppPath(), 'resources', name),
path.join(process.cwd(), 'resources', name)
]
const found = candidates.find((candidate) => fs.existsSync(candidate))
if (!found) throw new Error(`日报模板不存在: ${candidates.join(' | ')}`)
return found
}
const escapeHtml = (value: unknown): string =>
String(value ?? '')
@@ -75,17 +93,6 @@ const embedAvatar = async (source: string | undefined, name: string): Promise<st
}
}
const templatePath = (): string => {
const candidates = [
path.join(process.resourcesPath, 'resources', TEMPLATE_NAME),
path.join(app.getAppPath(), 'resources', TEMPLATE_NAME),
path.join(process.cwd(), 'resources', TEMPLATE_NAME)
]
const found = candidates.find((candidate) => fs.existsSync(candidate))
if (!found) throw new Error(`日报模板不存在: ${candidates.join(' | ')}`)
return found
}
/**
* 从群成员快照反推真头像,填进 metadata.avatars。
* - 没传 talker → 跳过(向后兼容)
@@ -138,6 +145,26 @@ const heatClass = (heat: ReportHeat): string => {
const replacePlaceholder = (html: string, key: string, value: string): string =>
html.replaceAll(`{{${key}}}`, value)
const sectionMeta = (
request: GroupReportExportRequest,
key: keyof NonNullable<typeof request.report.sectionMeta>
): ReportSectionMeta | undefined => request.report.sectionMeta?.[key]
const sectionClass = (
request: GroupReportExportRequest,
key: keyof NonNullable<typeof request.report.sectionMeta>,
hasContent: boolean
): string => (sectionMeta(request, key)?.enabled && hasContent ? '' : 'empty-section')
const overflowNote = (
request: GroupReportExportRequest,
key: keyof NonNullable<typeof request.report.sectionMeta>
): string => {
const meta = sectionMeta(request, key)
if (request.metadata.reportMode !== 'compact' || !meta?.hiddenCount) return ''
return `<div class="section-more">另有 ${meta.hiddenCount} 条内容,请在完整版中查看</div>`
}
const renderReportHtml = async (request: GroupReportExportRequest): Promise<string> => {
const { report, metadata } = request
const avatarNames = new Set<string>(metadata.heroParticipants)
@@ -147,6 +174,9 @@ const renderReportHtml = async (request: GroupReportExportRequest): Promise<stri
quote.messages.forEach((message) => avatarNames.add(message.sender))
)
report.analytics.topSpeakers.forEach((speaker) => avatarNames.add(speaker.name))
report.media?.gallery?.forEach((item) => avatarNames.add(item.sender))
report.media?.voiceHighlights?.forEach((item) => avatarNames.add(item.sender))
report.media?.funBadges?.forEach((item) => avatarNames.add(item.owner))
const avatars = new Map<string, string>()
await Promise.all(
@@ -168,7 +198,38 @@ const renderReportHtml = async (request: GroupReportExportRequest): Promise<stri
<div class="topic-title-row"><h3>${escapeHtml(topic.title)}</h3><span class="heat ${heatClass(topic.heat)}">${escapeHtml(topic.heat)}热</span></div>
<div class="topic-meta">${escapeHtml(topic.timeRange)}</div>
<p>${escapeHtml(topic.summary)}</p>
${topic.conclusion ? `<p class="muted">${escapeHtml(topic.conclusion)}</p>` : ''}
${
topic.conclusions?.length
? `<div class="topic-conclusions">${topic.conclusions
.slice(0, 2)
.map((entry) => `<div class="topic-conclusion">${escapeHtml(entry.text)}</div>`)
.join('')}</div>`
: topic.conclusion
? `<div class="topic-conclusions"><div class="topic-conclusion">${escapeHtml(topic.conclusion)}</div></div>`
: ''
}
${
topic.image
? (() => {
// 优先用已有 imageUrl;若有 imageHash(来自 visionGallery),按 hash 取原图
let imageUrl = topic.image.imageUrl
if (!imageUrl && topic.image.imageHash) {
const insight = imageInsightService.getInsight(topic.image.imageHash)
if (insight) {
// insight 不含 imageUrl,需要按 md5/datName 重新拿;这里通过 ImageDecryptService 间接获取
// 走 ImageDecryptService.findImageFile + decryptImageToBase64
const decryptService = (globalThis as { __imageDecrypt?: { findImageFile: (md5?: string, dat?: string) => string | null; decryptImageToBase64: (p: string) => string | null } }).__imageDecrypt
if (decryptService) {
const filePath = decryptService.findImageFile(insight.md5, insight.datName)
if (filePath) imageUrl = decryptService.decryptImageToBase64(filePath) || undefined
}
}
}
if (!imageUrl) return ''
return `<div class="topic-inline-image"><img src="${imageUrl}" alt="热点图片"><div>${escapeHtml(topic.image.note)}</div></div>`
})()
: ''
}
<div class="participants">${topic.participants
.slice(0, 5)
.map(
@@ -213,18 +274,122 @@ const renderReportHtml = async (request: GroupReportExportRequest): Promise<stri
)
.join('')
const qaCards = report.qa
const todoCards = (report.todos || [])
.map(
(item) =>
`<div class="qa-card"><b>Q${escapeHtml(item.question)}</b><div>A${escapeHtml(item.answer)}${item.answerer ? `${escapeHtml(item.answerer)}` : ''}</div></div>`
(item) => `<div class="action-card todo-card">
<b>${escapeHtml(item.task)}</b>
<div>${[item.owner || '', item.deadline || '', item.topic || ''].filter(Boolean).map(escapeHtml).join(' · ')}</div>
${item.note ? `<div class="action-note">${escapeHtml(item.note)}</div>` : ''}
</div>`
)
.join('')
const maxHeat = Math.max(1, ...report.analytics.topicHeat.map((item) => item.score))
const heatBars = report.analytics.topicHeat
const unresolvedCards = (report.unresolved || [])
.map(
(item) =>
`<div class="bar-row"><span>${escapeHtml(item.topic)}</span><div class="bar"><i style="width:${Math.max(8, Math.round((item.score / maxHeat) * 100))}%"></i></div></div>`
(item) => `<div class="action-card unresolved-card">
<b>${escapeHtml(item.question)}</b>
<div>${[item.owner || '', item.lastDiscussedAt || '', item.status].filter(Boolean).map(escapeHtml).join(' · ')}</div>
<div class="action-note">${escapeHtml(item.note)}</div>
</div>`
)
.join('')
const storylineCards = (report.storylines || [])
.map(
(item) => `<div class="card storyline-card">
<div class="topic-title-row"><h3>${escapeHtml(item.title)}</h3></div>
<div class="storyline-steps">${item.stages
.map(
(stage) => `<div class="storyline-step">
<span>${escapeHtml(stage.time || '--:--')}</span>
<b>${escapeHtml(stage.event)}</b>
</div>`
)
.join('')}</div>
${item.result ? `<p class="muted">${escapeHtml(item.result)}</p>` : ''}
</div>`
)
.join('')
const reversalCards = (report.reversals || [])
.map(
(item) => `<div class="qa-card">
<b>${escapeHtml(item.topic)}</b>
<div>最初:${escapeHtml(item.initialView)}</div>
<div>后来:${escapeHtml(item.finalView)}</div>
${item.note ? `<div>${escapeHtml(item.note)}</div>` : ''}
</div>`
)
.join('')
const chainCards = (report.participantChains || [])
.map(
(item) => `<div class="card chain-card">
<div class="topic-title-row"><h3>${escapeHtml(item.topic)}</h3></div>
<div class="chain-flow">${item.chain.map((node) => `<span>${escapeHtml(node)}</span>`).join('<i>→</i>')}</div>
${item.note ? `<p class="muted">${escapeHtml(item.note)}</p>` : ''}
</div>`
)
.join('')
const galleryCards = (report.media?.gallery || [])
.map(
(item) => `<div class="gallery-card">
<img class="gallery-image" src="${item.imageUrl}" alt="群聊图片">
<div class="gallery-body">
<div class="important-meta"><b>${escapeHtml(item.sender)}</b><span>${escapeHtml(item.time)}</span></div>
${item.stats ? `<div class="gallery-stats">${escapeHtml(item.stats)}</div>` : ''}
<div class="important-text">${escapeHtml(item.note)}</div>
${item.inferenceLabel ? `<div class="topic-meta">${escapeHtml(item.inferenceLabel)}</div>` : ''}
</div>
</div>`
)
.join('')
// AI 图片理解结果板块(ImageInsight)
// 内容由 ImageInsightService.analyze 生成,真实看图 + 看上下文
const visionCards = (report.media?.visionGallery || [])
.filter((item) => item.imageUrl) // 只显示加载成功的图
.map(
(item) => `<div class="vision-card">
<img class="vision-image" src="${item.imageUrl}" alt="AI 识别的图片">
<div class="vision-body">
<div class="important-meta"><b>${escapeHtml(item.sender)}</b><span>${escapeHtml(item.time)}</span></div>
<div class="vision-description">${escapeHtml(item.description)}</div>
${item.ocrText ? `<div class="vision-ocr">📝 ${escapeHtml(item.ocrText)}</div>` : ''}
${item.tags.length ? `<div class="vision-tags">${item.tags.map((t) => `<span class="vision-tag">${escapeHtml(t)}</span>`).join('')}</div>` : ''}
<div class="vision-label">AI 图片识别</div>
</div>
</div>`
)
.join('')
const voiceCards = (report.media?.voiceHighlights || [])
.map(
(item) => `<div class="qa-card">
<b>${escapeHtml(item.title)} · ${escapeHtml(item.sender)}</b>
<div>${escapeHtml(item.note)}</div>
</div>`
)
.join('')
const voiceRankCards = (report.analytics.voiceLeaderboard || [])
.map(
(item, index) => `<div class="rank">
<img src="${avatar(item.sender)}" alt="">
<b>${index + 1}. ${escapeHtml(item.sender)}</b>
<span>${item.count} 条 · ${item.durationSec} 秒</span>
</div>`
)
.join('')
const badgeCards = (report.media?.funBadges || [])
.map(
(item) => `<div class="badge-card">
<span class="tag">${escapeHtml(item.title)}</span>
<b>${escapeHtml(item.owner)}</b>
<p>${escapeHtml(item.note)}</p>
</div>`
)
.join('')
@@ -236,6 +401,20 @@ const renderReportHtml = async (request: GroupReportExportRequest): Promise<stri
)
.join('')
// v1 模板使用的水平条形热度图,渲染 top speakers 排行
const heatBarsHtml = report.analytics.topSpeakers
.slice(0, 8)
.map((speaker) => {
const count = Math.max(0, speaker.count)
const width = Math.min(100, count * 12)
return `<div class="heat-row">
<span class="heat-name">${escapeHtml(speaker.name)}</span>
<span class="heat-bar"><i style="width:${width}%"></i></span>
<span class="heat-val">${count}</span>
</div>`
})
.join('')
const cloudTags = report.keywords
.slice(0, 15)
.map(
@@ -244,35 +423,116 @@ const renderReportHtml = async (request: GroupReportExportRequest): Promise<stri
)
.join('')
let html = await fs.readFile(templatePath(), 'utf8')
const qaCards = report.qa
.map(
(item) =>
`<div class="qa-card"><b>Q${escapeHtml(item.question)}</b><div>A${escapeHtml(item.answer)}${item.answerer ? `${escapeHtml(item.answerer)}` : ''}</div></div>`
)
.join('')
const summaryStats = report.summaryStats || {
messageCount: metadata.messageCount,
activeUsers: metadata.activeUsers,
topicCount: report.topics.length,
mediaCount: metadata.mediaMessageCount || 0,
imageCount: metadata.imageCount || 0,
voiceCount: metadata.voiceCount || 0,
stickerCount: metadata.stickerCount || 0,
conclusionCount: 0,
todoCount: report.todos.length,
unresolvedCount: report.unresolved.length
}
let html = await fs.readFile(templatePath(request.templateId), 'utf8')
const values: Record<string, string> = {
REPORT_TITLE: escapeHtml(`${metadata.groupName}日报`),
REPORT_MODE_CLASS: metadata.reportMode === 'full' ? 'full' : 'compact',
GROUP_NAME: escapeHtml(metadata.groupName),
DATE_RANGE: escapeHtml(metadata.dateRange),
RECORD_NOTE: escapeHtml(`基于 WechatExplorer 加载的 ${metadata.messageCount} 条记录`),
OVERVIEW: escapeHtml(report.overview),
RECORD_NOTE: escapeHtml(metadata.recordNote),
// v1 模板使用的 OVERVIEW(经典版以概览段落呈现)
OVERVIEW: escapeHtml(report.overview || report.hero?.summary || '基于已读取聊天记录生成的群聊日报'),
// v2 模板使用的 hero-*
HERO_HEADLINE: escapeHtml(report.hero?.headline || '今日群聊速览'),
HERO_SUMMARY: escapeHtml(report.hero?.summary || report.overview),
HERO_TAKEAWAY: escapeHtml(report.hero?.keyTakeaway || ''),
HERO_PENDING: escapeHtml(report.hero?.pendingNote || ''),
HERO_STATUS_LINE: escapeHtml(report.hero?.statusLine || ''),
HERO_STATUS_EMPTY_CLASS: report.hero?.statusLine ? '' : 'empty-section',
HERO_TAKEAWAY_EMPTY_CLASS: report.hero?.keyTakeaway ? '' : 'empty-section',
HERO_PENDING_EMPTY_CLASS: report.hero?.pendingNote ? '' : 'empty-section',
HERO_AVATARS: heroAvatars,
MESSAGE_COUNT: String(metadata.messageCount),
ACTIVE_USERS: String(metadata.activeUsers),
MESSAGE_COUNT: String(summaryStats.messageCount),
ACTIVE_USERS: String(summaryStats.activeUsers),
TIME_SPAN: escapeHtml(metadata.timeSpan || ''),
TOPIC_COUNT: String(report.topics.length),
TOPIC_COUNT: String(summaryStats.topicCount),
MEDIA_COUNT: String(summaryStats.mediaCount),
TOPIC_CARDS: topicCards,
RESOURCES_EMPTY_CLASS: report.resources.length ? '' : 'empty-section',
TOPICS_EMPTY_CLASS: sectionClass(request, 'topics', report.topics.length > 0),
TOPICS_MORE_NOTE: overflowNote(request, 'topics'),
RESOURCES_EMPTY_CLASS: sectionClass(request, 'resources', report.resources.length > 0),
RESOURCE_ITEMS: resourceItems,
MESSAGES_EMPTY_CLASS: report.importantMessages.length ? '' : 'empty-section',
RESOURCES_MORE_NOTE: overflowNote(request, 'resources'),
MESSAGES_EMPTY_CLASS: sectionClass(request, 'importantMessages', report.importantMessages.length > 0),
IMPORTANT_MESSAGES: importantMessages,
QUOTES_EMPTY_CLASS: report.quotes.length ? '' : 'empty-section',
MESSAGES_MORE_NOTE: overflowNote(request, 'importantMessages'),
QUOTES_EMPTY_CLASS: sectionClass(request, 'moments', report.quotes.length > 0),
QUOTE_BLOCKS: quoteBlocks,
QA_EMPTY_CLASS: report.qa.length ? '' : 'empty-section',
QUOTES_MORE_NOTE: overflowNote(request, 'moments'),
ACTIONS_EMPTY_CLASS: sectionClass(request, 'actions', report.todos.length + report.unresolved.length > 0),
TODO_EMPTY_CLASS: report.todos.length ? '' : 'empty-section',
TODO_CARDS: todoCards,
UNRESOLVED_EMPTY_CLASS: report.unresolved?.length ? '' : 'empty-section',
UNRESOLVED_CARDS: unresolvedCards,
ACTIONS_MORE_NOTE: overflowNote(request, 'actions'),
QA_EMPTY_CLASS: sectionClass(request, 'qa', report.qa.length > 0),
QA_CARDS: qaCards,
HEAT_BARS: heatBars,
QA_MORE_NOTE: overflowNote(request, 'qa'),
STORYLINES_EMPTY_CLASS: sectionClass(request, 'storylines', report.storylines?.length > 0),
STORYLINE_CARDS: storylineCards,
STORYLINES_MORE_NOTE: overflowNote(request, 'storylines'),
REVERSALS_EMPTY_CLASS: sectionClass(request, 'reversals', report.reversals?.length > 0),
REVERSAL_CARDS: reversalCards,
REVERSALS_MORE_NOTE: overflowNote(request, 'reversals'),
CHAINS_EMPTY_CLASS: sectionClass(request, 'chains', report.participantChains?.length > 0),
CHAIN_CARDS: chainCards,
CHAINS_MORE_NOTE: overflowNote(request, 'chains'),
// AI 图片识别板块
VISION_EMPTY_CLASS: sectionClass(
request,
'vision',
(report.media?.visionGallery?.length ?? 0) > 0
),
VISION_CARDS: visionCards,
VISION_TITLE: '📸 AI 识别的图片精选',
GALLERY_EMPTY_CLASS: sectionClass(request, 'gallery', report.media?.gallery?.length > 0),
GALLERY_CARDS: galleryCards,
GALLERY_MORE_NOTE: overflowNote(request, 'gallery'),
VOICE_EMPTY_CLASS: sectionClass(request, 'voices', report.media?.voiceHighlights?.length > 0),
VOICE_CARDS: voiceCards,
VOICE_MORE_NOTE: overflowNote(request, 'voices'),
VOICE_RANK_EMPTY_CLASS: sectionClass(request, 'voices', report.analytics.voiceLeaderboard?.length > 0),
VOICE_RANK_CARDS: voiceRankCards,
BADGES_EMPTY_CLASS: sectionClass(request, 'badges', report.media?.funBadges?.length > 0),
BADGE_CARDS: badgeCards,
BADGES_MORE_NOTE: overflowNote(request, 'badges'),
RANK_ITEMS: rankItems,
ACTIVITY_TIMELINE: escapeHtml(report.analytics.activeTimeline),
CONCLUSION_COUNT: String(summaryStats.conclusionCount),
TODO_COUNT: String(summaryStats.todoCount),
UNRESOLVED_COUNT: String(summaryStats.unresolvedCount),
CLOUD_TAGS: cloudTags,
KEYWORDS_EMPTY_CLASS: sectionClass(request, 'keywords', report.keywords.length > 0),
KEYWORDS_MORE_NOTE: overflowNote(request, 'keywords'),
ANALYTICS_EMPTY_CLASS: sectionClass(request, 'analytics', true),
GENERATED_AT: escapeHtml(metadata.generatedAt),
FOOTER_NOTE: escapeHtml(metadata.footerNote)
FOOTER_NOTE: escapeHtml(metadata.footerNote),
// v1 模板独有:从 analytics.topSpeakers 渲染水平条形热度图
HEAT_BARS: heatBarsHtml
}
for (const [key, value] of Object.entries(values)) html = replacePlaceholder(html, key, value)
// 清空模板中残留的未使用占位符(模板独有但 values 没提供的键)
html = html.replace(/\{\{[A-Z_]+\}\}/g, '')
return html
}
@@ -327,7 +587,8 @@ export const exportGroupReport = async (
const outputDir = path.join(os.homedir(), 'Documents', '微信聊天记录')
await fs.ensureDir(outputDir)
const baseName = `${sanitizeFileName(request.metadata.groupName)}日报_${request.metadata.reportDate}_可视化长图`
const templateLabel = request.templateId === 'v1' ? '经典版' : '模板2'
const baseName = `${sanitizeFileName(request.metadata.groupName)}日报_${request.metadata.reportDate}_${templateLabel}`
const htmlPath = path.join(outputDir, `${baseName}.html`)
const pngPath = path.join(outputDir, `${baseName}.png`)
const htmlStartedAt = new Date()
+64 -4
View File
@@ -9,6 +9,8 @@ import {
} from './services/chat-service'
import { exportGroupReport } from './group-report-service'
import { GroupReportExportRequest } from '../shared/group-report'
import { generateAgentGroupReport } from './services/agent-group-report-service'
import { agentHubService } from './services/agent-hub-service'
import { safeError, safeLog, safeWarn } from './safe-log'
export const DEFAULT_HTTP_HOST = '127.0.0.1'
@@ -157,7 +159,9 @@ const routes: Record<string, RouteHandler> = {
if (keyword) {
const lower = keyword.toLowerCase()
groups = groups.filter(
(c) => c.m_nsNickName.toLowerCase().includes(lower) || c.m_nsUsrName.toLowerCase().includes(lower)
(c) =>
c.m_nsNickName.toLowerCase().includes(lower) ||
c.m_nsUsrName.toLowerCase().includes(lower)
)
}
sendJson(res, 200, { count: groups.length, chatrooms: groups })
@@ -236,13 +240,62 @@ const routes: Record<string, RouteHandler> = {
try {
request = JSON.parse(body) as GroupReportExportRequest
} catch (error) {
return sendError(res, 400, '请求体 JSON 解析失败', error instanceof Error ? error.message : String(error))
return sendError(
res,
400,
'请求体 JSON 解析失败',
error instanceof Error ? error.message : String(error)
)
}
if (!request?.report || !request?.metadata) {
return sendError(res, 400, '请求体需包含 report 和 metadata 字段')
}
const result = await exportGroupReport(request)
sendJson(res, result.success ? 200 : 500, result)
},
'/api/v1/agent/group-report': async ({ req, res, body }) => {
if (req.method !== 'POST') return sendError(res, 405, '需要 POST 请求')
if (!isReady()) return sendError(res, 503, 'WechatExplorer 数据库未初始化')
let request: { group?: string; range?: 'today' | 'yesterday' | '7days' }
try {
request = JSON.parse(typeof body === 'string' ? body : '{}')
} catch {
return sendError(res, 400, '请求体 JSON 解析失败')
}
const result = await generateAgentGroupReport({
group: request.group || '',
range: request.range
})
sendJson(res, result.success ? 200 : 400, result)
},
'/api/v1/agent/status': ({ res }) => {
const status = agentHubService.getStatus()
sendJson(res, 200, {
ok: status.hub === 'online' && status.connector === 'online',
hub: status.hub,
connector: status.connector,
dataApi: status.dataApi,
databaseReady: status.databaseReady,
accountId: status.accountId
})
},
'/api/v1/agent/send': async ({ req, res, body }) => {
if (req.method !== 'POST') return sendError(res, 405, '需要 POST 请求')
let request: { to?: string; text?: string; media_url?: string }
try {
request = JSON.parse(typeof body === 'string' ? body : '{}')
} catch {
return sendError(res, 400, '请求体 JSON 解析失败')
}
const result = await agentHubService.testSend({
to: request.to,
text: request.text,
mediaUrl: request.media_url
})
sendJson(res, result.success ? 200 : result.status === 'token_expired' ? 401 : 503, result)
}
}
@@ -311,7 +364,11 @@ export interface ApiServerState {
}
let singleton: HttpServerHandle | null = null
let singletonState: ApiServerState = { running: false, host: DEFAULT_HTTP_HOST, port: DEFAULT_HTTP_PORT }
let singletonState: ApiServerState = {
running: false,
host: DEFAULT_HTTP_HOST,
port: DEFAULT_HTTP_PORT
}
function sleep(ms: number): Promise<void> {
return new Promise((resolve) => setTimeout(resolve, ms))
@@ -326,7 +383,10 @@ export const apiServer = {
return { ...singletonState }
},
async start(host: string = DEFAULT_HTTP_HOST, port: number = DEFAULT_HTTP_PORT): Promise<ApiServerState> {
async start(
host: string = DEFAULT_HTTP_HOST,
port: number = DEFAULT_HTTP_PORT
): Promise<ApiServerState> {
if (singleton) {
return this.getState()
}
+59 -19
View File
@@ -4,6 +4,11 @@ import crypto from 'crypto'
import os from 'os'
import { Wcdb4Client } from './wcdb4-client'
const imageDecryptDebugEnabled = process.env['WECHATEXPLORER_DEBUG_IMAGE'] === '1'
const imageDecryptLog = (...args: unknown[]): void => {
if (imageDecryptDebugEnabled) console.log(...args)
}
export class ImageDecryptService {
private readonly defaultV1AesKey = 'cfcd208495d565ef'
@@ -41,7 +46,7 @@ export class ImageDecryptService {
)
if (!existsSync(accountRoot)) {
console.log('[ImageDecrypt] account root not found:', accountRoot)
imageDecryptLog('[ImageDecrypt] account root not found:', accountRoot)
return null
}
@@ -61,7 +66,7 @@ export class ImageDecryptService {
.sort((a, b) => b.mtime - a.mtime)
if (accounts.length === 0) {
console.log('[ImageDecrypt] no accounts found')
imageDecryptLog('[ImageDecrypt] no accounts found')
return null
}
@@ -83,7 +88,7 @@ export class ImageDecryptService {
const normalizedMd5 = this.normalizeDatBase(md5 || '')
const normalizedDatName = this.normalizeDatBase(imageDatName || '')
console.log('[ImageDecrypt] findImageFile:', {
imageDecryptLog('[ImageDecrypt] findImageFile:', {
md5: normalizedMd5,
imageDatName: normalizedDatName,
accountDir,
@@ -96,7 +101,7 @@ export class ImageDecryptService {
if (fullPath && existsSync(fullPath)) {
const selected = this.getPreferredDatVariantPath(fullPath, allowThumbnail)
if (allowThumbnail || !this.isThumbnailName(basename(selected))) {
console.log('[ImageDecrypt] hardlink hit:', selected)
imageDecryptLog('[ImageDecrypt] hardlink hit:', selected)
return selected
}
}
@@ -105,7 +110,7 @@ export class ImageDecryptService {
// 尝试 WechatExplorer 的目录结构: msg/attach/{hash}/{YYYY-MM}/Img/
const attachDir = join(accountDir, 'msg', 'attach')
if (!existsSync(attachDir)) {
console.log('[ImageDecrypt] attach dir not found:', attachDir)
imageDecryptLog('[ImageDecrypt] attach dir not found:', attachDir)
return this.findImageFileInLegacyDirs(accountDir, normalizedMd5 || normalizedDatName)
}
@@ -120,7 +125,7 @@ export class ImageDecryptService {
const legacyHit = this.findImageFileInLegacyDirs(accountDir, searchKeys[0], allowThumbnail)
if (legacyHit) return legacyHit
console.log('[ImageDecrypt] findImageFile miss for:', searchKeys)
imageDecryptLog('[ImageDecrypt] findImageFile miss for:', searchKeys)
return null
}
@@ -146,7 +151,7 @@ export class ImageDecryptService {
]
const found = this.getLargestExistingPath(candidates, allowThumbnail)
if (found) {
console.log('[ImageDecrypt] prefix path hit:', found)
imageDecryptLog('[ImageDecrypt] prefix path hit:', found)
return found
}
}
@@ -175,14 +180,14 @@ export class ImageDecryptService {
allowThumbnail
)
if (found) {
console.log('[ImageDecrypt] found at:', found)
imageDecryptLog('[ImageDecrypt] found at:', found)
return found
}
}
}
}
} catch (e) {
console.log('[ImageDecrypt]遍历目录失败:', e)
imageDecryptLog('[ImageDecrypt]遍历目录失败:', e)
}
return null
@@ -229,7 +234,7 @@ export class ImageDecryptService {
const fullPath = join(dir, entry)
const stat = statSync(fullPath)
if (stat.isFile() && variants.has(entry.toLowerCase())) {
console.log('[ImageDecrypt] legacy path hit:', fullPath)
imageDecryptLog('[ImageDecrypt] legacy path hit:', fullPath)
return fullPath
}
}
@@ -252,13 +257,13 @@ export class ImageDecryptService {
*/
decryptImage(datPath: string): Buffer | null {
if (!existsSync(datPath)) {
console.log('[ImageDecrypt] file not found:', datPath)
imageDecryptLog('[ImageDecrypt] file not found:', datPath)
return null
}
try {
const version = this.getDatVersion(datPath)
console.log(
imageDecryptLog(
'[ImageDecrypt] dat version:',
version,
'file:',
@@ -269,25 +274,25 @@ export class ImageDecryptService {
let decrypted: Buffer
if (version === 1) {
console.log('[ImageDecrypt] using V1 (default AES key)')
imageDecryptLog('[ImageDecrypt] using V1 (default AES key)')
const key = Buffer.from(this.defaultV1AesKey, 'ascii')
decrypted = this.decryptDatV4(datPath, key)
} else if (version === 2) {
console.log('[ImageDecrypt] using V2 (user AES key)')
imageDecryptLog('[ImageDecrypt] using V2 (user AES key)')
if (!this.aesKey) {
console.log('[ImageDecrypt] no AES key configured')
imageDecryptLog('[ImageDecrypt] no AES key configured')
return null
}
const key = Buffer.from(this.aesKey, 'ascii').slice(0, 16)
decrypted = this.decryptDatV4(datPath, key)
} else {
console.log('[ImageDecrypt] unsupported dat version:', version)
imageDecryptLog('[ImageDecrypt] unsupported dat version:', version)
return null
}
return decrypted
} catch (error) {
console.error('[ImageDecrypt] decrypt error:', error)
imageDecryptLog('[ImageDecrypt] decrypt error:', error)
return null
}
}
@@ -309,7 +314,7 @@ export class ImageDecryptService {
const unwrapped = this.unwrapWxgf(decrypted)
const ext = this.detectImageExtension(unwrapped)
if (!ext) {
console.log('[ImageDecrypt] unknown image format')
imageDecryptLog('[ImageDecrypt] unknown image format')
return null
}
@@ -317,6 +322,39 @@ export class ImageDecryptService {
return `data:${mimeType};base64,${unwrapped.toString('base64')}`
}
/**
* 首选 DAT 无法解密时,继续尝试同目录下属于同一图片的其他清晰度变体。
* 微信可能只保留 base/_h/_hd/_t 中的一部分,不能把首个文件失败等同于整张图失败。
*/
decryptImageToBase64WithFallback(
datPath: string,
allowThumbnail = true
): { data: string; filePath: string } | null {
const candidates = [datPath]
if (extname(datPath).toLowerCase().includes('dat')) {
const dir = dirname(datPath)
const base = this.normalizeDatBase(basename(datPath))
const siblings = this.buildPreferredDatNames(base)
.filter((name) => allowThumbnail || !this.isThumbnailName(name))
.map((name) => join(dir, name))
.filter((candidate) => existsSync(candidate))
.sort((left, right) => {
const leftThumb = this.isThumbnailName(basename(left)) ? 1 : 0
const rightThumb = this.isThumbnailName(basename(right)) ? 1 : 0
if (leftThumb !== rightThumb) return leftThumb - rightThumb
return statSync(right).size - statSync(left).size
})
candidates.push(...siblings)
}
for (const candidate of this.uniq(candidates)) {
const data = this.decryptImageToBase64(candidate)
if (data) return { data, filePath: candidate }
}
imageDecryptLog('[ImageDecrypt] all variants failed:', this.uniq(candidates))
return null
}
/**
* 检测 DAT 文件版本
*/
@@ -485,7 +523,9 @@ export class ImageDecryptService {
})
.sort((left, right) => right.size - left.size)
const nonThumb = toSized(paths.filter((candidate) => !this.isThumbnailName(basename(candidate))))
const nonThumb = toSized(
paths.filter((candidate) => !this.isThumbnailName(basename(candidate)))
)
if (nonThumb[0]) return nonThumb[0].candidate
if (!allowThumbnail) return null
+158 -8
View File
@@ -37,6 +37,14 @@ import type {
import { DatabaseKeyStore } from './database-key-store'
import { ImageKeyConfigService } from './services/image-key-config-service'
import { AIProviderService } from './services/ai-provider-service'
import { imageInsightService } from './services/image-insight-service'
import type {
ImageAnalysisRequest,
ImageAnalysisResponse,
ImageCandidate,
ImageCandidateQuery,
ImageInsight
} from '../shared/image-insight'
import { KeyServiceMac } from './key-service-mac'
import { KeyService as KeyServiceWin } from './key-service-win'
import * as chat from './services/chat-service'
@@ -60,6 +68,9 @@ import {
saveCachedMessages
} from './services/bootstrap-cache'
import { installSafeConsole } from './safe-log'
import { agentHubService } from './services/agent-hub-service'
import { appLogger } from './app-logger'
import type { AppLogEntry } from '../shared/app-log'
// electron-vite can close the child's stdout/stderr after spawning Electron.
// Plain console.error then throws EPIPE on a closed pipe and crashes the IPC
@@ -132,6 +143,31 @@ function createWindow(): void {
// 鏌愪簺 API 鍙兘鍦ㄦ浜嬩欢鍙戠敓鍚庝娇鐢?
app.whenReady().then(async () => {
console.log(`WechatExplorer main build: ${BUILD_MARK}`)
appLogger.write({
level: 'info',
scope: 'lifecycle',
message: 'WechatExplorer 启动',
details: { build: BUILD_MARK, platform: process.platform, version: app.getVersion() }
})
process.on('uncaughtException', (error) => {
appLogger.write({
level: 'error',
scope: 'main-process',
message: error.message,
details: { stack: error.stack }
})
})
process.on('unhandledRejection', (reason) => {
appLogger.write({
level: 'error',
scope: 'main-process',
message: reason instanceof Error ? reason.message : 'Promise 未处理拒绝',
details: {
stack: reason instanceof Error ? reason.stack : undefined,
reason: reason instanceof Error ? undefined : String(reason)
}
})
})
// WCDB's Windows runtime returns -1006 if wcdb_init is called more than once
// per process. Bootstrap native once here so any later Wcdb4Client instance
@@ -157,6 +193,9 @@ app.whenReady().then(async () => {
// IPC test
ipcMain.on('ping', () => console.log('pong'))
ipcMain.handle('app-log:write', (_, entry: AppLogEntry) => appLogger.write(entry))
ipcMain.handle('app-log:getPath', () => appLogger.logPath)
ipcMain.handle('app-log:reveal', () => appLogger.reveal())
ipcMain.handle('db:init', async (_, key: string) => {
if (dbInitInFlight) return dbInitInFlight
@@ -475,20 +514,108 @@ app.whenReady().then(async () => {
return { success: false, error: force ? '未找到原图或缩略图文件' : '未找到图片文件' }
}
const base64 = imageDecryptService.decryptImageToBase64(filePath)
if (!base64) {
const decrypted = imageDecryptService.decryptImageToBase64WithFallback(filePath, true)
if (!decrypted) {
return { success: false, error: '图片解密失败' }
}
return {
success: true,
data: base64,
isThumb: imageDecryptService.isThumbnailFile(filePath),
filePath
data: decrypted.data,
isThumb: imageDecryptService.isThumbnailFile(decrypted.filePath),
filePath: decrypted.filePath
}
}
)
// ============================================================
// AI 图片理解基础设施(ImageInsightService)
// ============================================================
// 注入依赖(用闭包捕获当前 db:getImage 已经初始化过的 imageDecryptService)
// 同时把 imageDecryptService 暴露到 globalThis,供 group-report-service 渲染时按 imageHash 取图
;(globalThis as { __imageDecrypt?: typeof imageDecryptService }).__imageDecrypt =
imageDecryptService
imageInsightService.bind({
providerService: aiProviderService,
decryptService: {
findImageFile: (md5, datName, opts) =>
imageDecryptService?.findImageFile(md5, datName, opts) ?? null,
decryptImageToBase64: (filePath) =>
imageDecryptService?.decryptImageToBase64(filePath) ?? null
}
})
/** 日报入口:取会话 Top N 热点图片 + 已缓存的 Insight */
ipcMain.handle(
'image:listCandidates',
async (
_,
query: ImageCandidateQuery
): Promise<{ success: boolean; candidates: ImageCandidate[]; error?: string }> => {
console.log('[IPC] image:listCandidates query=%j', query)
try {
const inputs = (query as ImageCandidateQuery & { inputs?: unknown[] }).inputs || []
console.log('[IPC] image:listCandidates received %d inputs', inputs.length)
const candidates = await imageInsightService.listTopHotImages(query, inputs as never)
console.log('[IPC] image:listCandidates returned %d candidates', candidates.length)
return { success: true, candidates }
} catch (error) {
console.warn('[IPC] image:listCandidates failed:', error)
return {
success: false,
candidates: [],
error: error instanceof Error ? error.message : String(error)
}
}
}
)
/** 单图分析:缓存命中即返回,未命中调 AI;失败不抛 */
ipcMain.handle(
'image:analyze',
async (_, request: ImageAnalysisRequest): Promise<ImageAnalysisResponse> => {
console.log('[IPC] image:analyze hash=%s messageId=%s', request.imageHash, request.messageId)
// 校验 provider 是否支持 vision
const runtime = aiProviderService.getRuntimeConfig()
if (!runtime.configured) {
return { success: false, error: '尚未配置 AI Provider' }
}
const list = aiProviderService.list()
const provider = list.providers.find((p) => p.id === runtime.providerId)
const model = provider?.models.find((m) => m.id === runtime.model)
if (!provider || !model) {
return { success: false, error: '当前 AI 模型不存在' }
}
// Capability metadata is stored per machine. A model verified on macOS
// may still be unmarked on Windows, so do not reject before making the
// real multimodal request. The provider response remains authoritative.
// request 来自 renderer,imageHash 是 md5(优先)或 sha256(...),dataUrl 在内部算出
// 这里直接调 service,dataUrl 由 renderer 通过 window.api.getImage 拿到再传进来
return imageInsightService.analyze(request)
}
)
/** 单图查询缓存 */
ipcMain.handle(
'image:getInsight',
async (_, imageHash: string): Promise<{ success: boolean; insight?: ImageInsight }> => {
const insight = imageInsightService.getInsight(imageHash)
return { success: true, insight: insight || undefined }
}
)
/** 列出某会话所有已分析的 insights */
ipcMain.handle(
'image:listInsights',
async (
_,
sessionId: string,
limit?: number
): Promise<{ success: boolean; insights: ImageInsight[] }> => {
return { success: true, insights: imageInsightService.listBySession(sessionId, limit) }
}
)
ipcMain.handle('db:getSticker', async (_, cdnUrl?: string, md5?: string) => {
if (!stickerService) {
stickerService = new StickerService(chat.getChatDb()?.getWcdb4Client())
@@ -558,9 +685,10 @@ app.whenReady().then(async () => {
return error ? { success: false, error } : { success: true }
})
ipcMain.handle('db:disconnect', () => {
if (!chat.isReady()) return { success: false, error: '数据库当前未连接' }
chat.setChatDb(null)
ipcMain.handle('db:disconnect', (_, options?: { closeNative?: boolean }) => {
// 断开操作保持幂等:渲染进程可能已标记断开,或主进程连接已先行失效。
// 即使当前未就绪,也应让用户正常返回登录页。
if (options?.closeNative !== false && chat.isReady()) chat.setChatDb(null)
return { success: true }
})
@@ -602,6 +730,25 @@ app.whenReady().then(async () => {
return { success: false, error: error instanceof Error ? error.message : String(error) }
}
})
ipcMain.handle('agent-hub:getStatus', () => agentHubService.getStatus())
ipcMain.handle('agent-hub:getLogs', () => agentHubService.getLogs())
ipcMain.handle('agent-hub:clearLogs', () => agentHubService.clearLogs())
ipcMain.handle('agent-hub:startLogin', () => agentHubService.startLogin())
ipcMain.handle('agent-hub:cancelLogin', () => agentHubService.cancelLogin())
ipcMain.handle('agent-hub:reconnect', () => agentHubService.reconnect())
ipcMain.handle('agent-hub:disconnect', () => agentHubService.disconnect())
ipcMain.handle('agent-hub:selectTestImage', async (event) => {
const window = BrowserWindow.fromWebContents(event.sender)
const result = await dialog.showOpenDialog(window!, {
title: '选择要测试发送的图片',
properties: ['openFile'],
filters: [
{ name: '图片', extensions: ['png', 'jpg', 'jpeg', 'gif', 'webp'] },
{ name: '所有文件', extensions: ['*'] }
]
})
return result.canceled ? { canceled: true } : { canceled: false, path: result.filePaths[0] }
})
createWindow()
@@ -611,6 +758,8 @@ app.whenReady().then(async () => {
await apiServer.start(settings.apiHost, settings.apiPort)
}
await agentHubService.start(settings)
if (TRAY_MODE) {
app.dock?.hide()
setupTray()
@@ -634,6 +783,7 @@ app.on('window-all-closed', () => {
})
app.on('before-quit', async () => {
agentHubService.stop()
chat.setChatDb(null)
await apiServer.stop().catch(() => undefined)
if (tray) {
@@ -0,0 +1,115 @@
import type { Contact, Message } from '../../shared/types'
import { exportGroupReport } from '../group-report-service'
import { getGroupSnapshot, listMessages, resolveMd5 } from './chat-service'
import { AIProviderService } from './ai-provider-service'
import {
buildGroupReportInput,
getSummaryDateRange,
GROUP_REPORT_JSON_REPAIR_SYSTEM_PROMPT,
GROUP_REPORT_SYSTEM_PROMPT,
isInternalName,
parseGroupDailyReport,
type SummaryDateRange
} from '../../renderer/src/utils/group-report'
const aiProvider = new AIProviderService()
export interface AgentGroupReportRequest {
group: string
range?: SummaryDateRange
}
export interface AgentGroupReportResult {
success: boolean
groupName?: string
pngPath?: string
messageCount?: number
error?: string
}
export async function generateAgentGroupReport(
request: AgentGroupReportRequest
): Promise<AgentGroupReportResult> {
const query = String(request.group || '')
.trim()
.replace(/群聊?$/, '')
.trim()
if (!query) return { success: false, error: '缺少群聊名称' }
const contact = resolveMd5(query)
if (!contact) return { success: false, error: `没有找到群聊“${query}` }
if (contact.type !== 'group' && !contact.m_nsUsrName.endsWith('@chatroom')) {
return { success: false, error: `${query}”不是群聊` }
}
const range = request.range === 'yesterday' || request.range === '7days' ? request.range : 'today'
const { startTime, endTime } = getSummaryDateRange(range)
let messages = listMessages(contact.md5, startTime, endTime) as Message[]
if (!messages.length) return { success: false, error: '所选时间范围没有可总结的消息' }
const snapshot = getGroupSnapshot(contact.md5)
if (snapshot) {
const members = new Map(
snapshot.members.map((member) => [
member.wxid,
{ name: member.nickname, avatar: member.avatar }
])
)
messages = messages.map((message) => {
if (!isInternalName(message.name)) return message
const member = members.get(String(message.senderId || message.name || ''))
return member?.name
? { ...message, name: member.name, img: message.img || member.avatar }
: message
})
}
const input = await buildGroupReportInput(messages, contact as Contact, true, 'full')
const ai = await aiProvider.chat([
{ role: 'system', content: GROUP_REPORT_SYSTEM_PROMPT },
{ role: 'user', content: input.prompt }
])
if (!ai.success || !ai.data) return { success: false, error: ai.error || 'AI 总结失败' }
const parseReport = (raw: string): ReturnType<typeof parseGroupDailyReport> =>
parseGroupDailyReport(
raw,
input.topSpeakers,
input.activeTimeline,
input.voiceLeaderboard,
input.metadata,
input.media
)
let report: ReturnType<typeof parseGroupDailyReport>
try {
report = parseReport(ai.data)
} catch (parseError) {
const repaired = await aiProvider.chat([
{ role: 'system', content: GROUP_REPORT_JSON_REPAIR_SYSTEM_PROMPT },
{ role: 'user', content: ai.data }
])
if (!repaired.success || !repaired.data) {
const cause = parseError instanceof Error ? parseError.message : String(parseError)
return {
success: false,
error: `${repaired.error || 'AI 修复日报 JSON 失败'}(原始错误:${cause}`
}
}
try {
report = parseReport(repaired.data)
} catch (repairError) {
return {
success: false,
error: repairError instanceof Error ? repairError.message : String(repairError)
}
}
}
const exported = await exportGroupReport({ report, metadata: input.metadata })
if (!exported.success || !exported.pngPath) {
return { success: false, error: exported.error || '总结图片生成失败' }
}
return {
success: true,
groupName: input.metadata.groupName,
pngPath: exported.pngPath,
messageCount: messages.length
}
}
File diff suppressed because it is too large Load Diff
+97 -8
View File
@@ -69,7 +69,8 @@ export class AIProviderService {
configured: Boolean(
provider && provider.models.length && (provider.hasApiKey || !needsApiKey(provider))
),
status: provider?.status || 'untested'
status: provider?.status || 'untested',
timeoutMs: provider?.advanced.timeoutMs
}
}
@@ -169,6 +170,40 @@ export class AIProviderService {
}
}
/**
* 多模态图片理解。
* 输入:text + image parts 的 messages,返回 AI 文本响应。
* 与 testVision 区别:不校验 prompt,不写入 capability marker(供 ImageInsightService 复用)。
*/
async analyzeImage(
messages: Array<{
role: string
content: string | Array<{ type: 'text'; text: string } | { type: 'image'; dataUrl: string }>
}>,
options?: AIChatRequestOptions
): Promise<{
success: boolean
data?: string
usage?: { input?: number; output?: number; total?: number; estimated?: boolean }
error?: string
}> {
try {
const imagePart = messages
.flatMap((message) => (typeof message.content === 'string' ? [] : message.content))
.find((part) => part.type === 'image')
if (!imagePart || imagePart.type !== 'image') throw new Error('图片识别请求缺少图片数据')
const imageError = validateVisionImage(imagePart.dataUrl)
if (imageError) throw new Error(imageError)
const result = await this.request(messages as AIMessage[], options)
if (options?.providerId && options.modelId) {
this.markCapabilities(options.providerId, options.modelId, { vision: true, ocr: true })
}
return { success: true, ...result }
} catch (error) {
return { success: false, error: safeAIError(error) }
}
}
async testVision(request: AIVisionTestRequest): Promise<AIVisionTestResult> {
const startedAt = Date.now()
const imageError = validateVisionImage(request.imageDataUrl)
@@ -215,7 +250,13 @@ export class AIProviderService {
}> {
if (options?.apiKey) return this.requestLegacy(messages, options)
const resolved = this.resolveProvider(options)
return requestProvider(resolved.provider, resolved.key, resolved.model, messages, testing)
const provider = options?.timeoutMs
? {
...resolved.provider,
advanced: { ...resolved.provider.advanced, timeoutMs: options.timeoutMs }
}
: resolved.provider
return requestProvider(provider, resolved.key, resolved.model, messages, testing)
}
private resolveProvider(options?: { providerId?: string; modelId?: string }): {
@@ -263,12 +304,38 @@ export class AIProviderService {
}
private markVisionCapability(providerId: string, modelId: string): void {
this.markCapabilities(providerId, modelId, { vision: true, ocr: true })
}
/**
* 标记模型已验证的 capabilities(已存在则跳过)。
* OCR 跟随 vision:几乎所有 vision 模型都能 OCR,标记 vision 时同步标记 ocr。
*/
private markCapabilities(
providerId: string,
modelId: string,
caps: { vision?: boolean; ocr?: boolean }
): void {
const data = this.readMetadata()
const provider = data.providers.find((item) => item.id === providerId)
const model = provider?.models.find((item) => item.id === modelId)
if (!provider || !model || model.capabilities.vision) return
model.capabilities.vision = true
this.writeMetadata(data)
if (!provider || !model) return
// 老配置可能没有 ocr 字段,补默认 false
if (typeof model.capabilities.ocr !== 'boolean') model.capabilities.ocr = false
let changed = false
if (caps.vision === true && !model.capabilities.vision) {
model.capabilities.vision = true
// vision 开启默认带 ocr(派生能力)
if (!model.capabilities.ocr) {
model.capabilities.ocr = true
}
changed = true
}
if (caps.ocr === true && !model.capabilities.ocr) {
model.capabilities.ocr = true
changed = true
}
if (changed) this.writeMetadata(data)
}
private ensureEnvironmentMigration(): void {
@@ -300,6 +367,14 @@ export class AIProviderService {
const data = fs.readJsonSync(filePath) as AIProviderMetadataFile
if (data.version !== 1 || !Array.isArray(data.providers))
throw new Error('invalid provider metadata')
// 老配置兼容:补 capabilities.ocr 默认值(vision 派生 OCR)
for (const provider of data.providers) {
for (const model of provider.models) {
if (typeof model.capabilities.ocr !== 'boolean') {
model.capabilities.ocr = model.capabilities.vision === true
}
}
}
return data
}
@@ -325,7 +400,7 @@ function deepSeekProvider(baseUrl?: string, model?: string): AIProviderSummary {
{
name: modelId === 'deepseek-chat' ? 'DeepSeek Chat' : modelId,
id: modelId,
capabilities: { chat: true, vision: false, longContext: true }
capabilities: { chat: true, vision: false, ocr: false, longContext: true }
}
],
defaultModel: modelId,
@@ -454,7 +529,7 @@ async function requestOpenAICompatible(
},
provider.advanced.timeoutMs
)
const payload = (await response.json()) as OpenAIResponsePayload
const payload = await parseJsonResponse<OpenAIResponsePayload>(response)
if (!response.ok) throw new Error(payload.error?.message || `AI 请求失败 (${response.status})`)
return {
data: String(payload.choices?.[0]?.message?.content || ''),
@@ -508,7 +583,7 @@ async function requestAnthropic(
},
provider.advanced.timeoutMs
)
const payload = (await response.json()) as AnthropicResponsePayload
const payload = await parseJsonResponse<AnthropicResponsePayload>(response)
if (!response.ok)
throw new Error(payload.error?.message || `Anthropic 请求失败 (${response.status})`)
return {
@@ -543,6 +618,20 @@ async function fetchWithTimeout(
}
}
async function parseJsonResponse<T>(response: Response): Promise<T> {
const body = await response.text()
try {
return JSON.parse(body) as T
} catch {
const looksLikeHtml = /^\s*(?:<!doctype\s+html|<html\b)/i.test(body)
const status = `${response.status}${response.statusText ? ` ${response.statusText}` : ''}`
if (looksLikeHtml) {
throw new Error(`模型服务返回了网页而不是 JSON(HTTP ${status}),请稍后重试或检查中转服务`)
}
throw new Error(`模型服务返回格式异常(HTTP ${status}`)
}
}
function safeAIError(error: unknown): string {
if (error instanceof DOMException && error.name === 'AbortError') return 'AI 请求超时'
const message = error instanceof Error ? error.message : String(error)
+58 -21
View File
@@ -31,6 +31,10 @@ interface BootstrapCacheFile {
const CACHE_VERSION = 1
const MAX_MESSAGE_BUCKETS = 24
const MAX_MESSAGES_PER_BUCKET = 1200
const WRITE_DEBOUNCE_MS = 300
const memoryCache = new Map<string, BootstrapCacheFile>()
const writeTimers = new Map<string, NodeJS.Timeout>()
const writeQueues = new Map<string, Promise<void>>()
function normalizeRoot(accountRoot?: string): string {
return String(accountRoot || '').trim()
@@ -43,19 +47,26 @@ function getCacheFile(accountRoot?: string): string {
.update(`${process.platform}:${normalizedRoot}`)
.digest('hex')
.slice(0, 16)
return path.join(app.getPath('userData'), 'cache', 'bootstrap', `${process.platform}-${hash}.json`)
return path.join(
app.getPath('userData'),
'cache',
'bootstrap',
`${process.platform}-${hash}.json`
)
}
function readCacheFile(accountRoot?: string): BootstrapCacheFile | null {
const normalizedRoot = normalizeRoot(accountRoot)
if (!normalizedRoot) return null
const file = getCacheFile(normalizedRoot)
const cached = memoryCache.get(file)
if (cached) return cached
try {
if (!fs.existsSync(file)) return null
const raw = fs.readJsonSync(file) as Partial<BootstrapCacheFile>
if (raw.version !== CACHE_VERSION || raw.platform !== process.platform) return null
if (normalizeRoot(raw.accountRoot) !== normalizedRoot) return null
return {
const result: BootstrapCacheFile = {
version: CACHE_VERSION,
platform: process.platform,
accountRoot: normalizedRoot,
@@ -64,6 +75,8 @@ function readCacheFile(accountRoot?: string): BootstrapCacheFile | null {
contacts: Array.isArray(raw.contacts) ? raw.contacts : [],
messages: raw.messages && typeof raw.messages === 'object' ? raw.messages : {}
}
memoryCache.set(file, result)
return result
} catch (error) {
console.warn('[BootstrapCache] read failed:', error)
return null
@@ -71,28 +84,48 @@ function readCacheFile(accountRoot?: string): BootstrapCacheFile | null {
}
function writeCacheFile(cache: BootstrapCacheFile): void {
try {
const file = getCacheFile(cache.accountRoot)
fs.ensureDirSync(path.dirname(file))
fs.writeJsonSync(file, cache, { spaces: 2 })
} catch (error) {
console.warn('[BootstrapCache] write failed:', error)
}
const file = getCacheFile(cache.accountRoot)
memoryCache.set(file, cache)
const existingTimer = writeTimers.get(file)
if (existingTimer) clearTimeout(existingTimer)
writeTimers.set(
file,
setTimeout(() => {
writeTimers.delete(file)
const serialized = JSON.stringify(memoryCache.get(file) || cache)
const previous = writeQueues.get(file) || Promise.resolve()
const next = previous
.catch(() => undefined)
.then(async () => {
await fs.ensureDir(path.dirname(file))
await fs.writeFile(file, serialized, 'utf8')
})
.catch((error) => {
console.warn('[BootstrapCache] write failed:', error)
})
.finally(() => {
if (writeQueues.get(file) === next) writeQueues.delete(file)
})
writeQueues.set(file, next)
}, WRITE_DEBOUNCE_MS)
)
}
function loadOrCreate(accountRoot?: string): BootstrapCacheFile | null {
const normalizedRoot = normalizeRoot(accountRoot)
if (!normalizedRoot) return null
return (
readCacheFile(normalizedRoot) || {
version: CACHE_VERSION,
platform: process.platform,
accountRoot: normalizedRoot,
updatedAt: Date.now(),
contacts: [],
messages: {}
}
)
const existing = readCacheFile(normalizedRoot)
if (existing) return existing
const created: BootstrapCacheFile = {
version: CACHE_VERSION,
platform: process.platform,
accountRoot: normalizedRoot,
updatedAt: Date.now(),
contacts: [],
messages: {}
}
memoryCache.set(getCacheFile(normalizedRoot), created)
return created
}
function messageBucketKey(userMd5: string, startTime?: number, endTime?: number): string {
@@ -144,7 +177,9 @@ export function mergeCachedContactAvatars(accountRoot: string, contacts: Contact
)
const nameByUsername = new Map(
cache.contacts
.filter((contact) => contact.m_nsUsrName && contact.m_nsNickName && !isRawContactName(contact))
.filter(
(contact) => contact.m_nsUsrName && contact.m_nsNickName && !isRawContactName(contact)
)
.map((contact) => [contact.m_nsUsrName, contact.m_nsNickName])
)
if (avatarByUsername.size === 0 && nameByUsername.size === 0) return contacts
@@ -179,7 +214,9 @@ export function saveBootstrapContacts(accountRoot: string, contacts: Contact[]):
)
const nameByUsername = new Map(
(cache.contacts || [])
.filter((contact) => contact.m_nsUsrName && contact.m_nsNickName && !isRawContactName(contact))
.filter(
(contact) => contact.m_nsUsrName && contact.m_nsNickName && !isRawContactName(contact)
)
.map((contact) => [contact.m_nsUsrName, contact.m_nsNickName])
)
cache.contacts = contacts.map((contact) => ({
+11 -1
View File
@@ -56,7 +56,14 @@ export interface FormattedMessage {
export interface GroupSnapshot {
roomId: string
memberCount: number
members: { wxid: string; nickname: string; avatar: string }[]
members: {
wxid: string
nickname: string
groupNickname: string
wechatNickname: string
remark: string
avatar: string
}[]
}
const MSG_TYPE_DICT: Record<number, string> = {
@@ -292,6 +299,9 @@ export function getGroupSnapshot(userMd5: string): GroupSnapshot | null {
.map((member) => ({
wxid: member.m_nsUsrName,
nickname: member.nickname || '',
groupNickname: member.groupNickname || '',
wechatNickname: member.wechatNickname || '',
remark: member.remark || '',
avatar: member.m_nsHeadImgUrl || ''
}))
+94
View File
@@ -0,0 +1,94 @@
// src/main/services/image-insight-prompt.ts
// 图片理解 prompt 模板 — 输出严格的 JSON,便于程序化解析
export const IMAGE_ANALYSIS_SYSTEM_PROMPT = `你是微信群聊的图片分析助手。
请根据用户提供的图片和图片前后的聊天上下文,生成对该图片的结构化理解。
输出要求(严格遵守):
1. 必须输出 JSON,不要用 markdown 代码块包裹
2. description:1-2 句中文,30-80 字,描述图片核心内容
3. ocrText:如果图片含文字(截图、文档、票据等),提取出来;纯风景/表情包可填空字符串
4. tags:3-6 个中文关键词标签
5. category:screenshot / photo / meme / document / chart / other 之一
6. importance:low / medium / high — 根据图片的信息密度和后续讨论热度判断
禁止:
- 不要猜测图片中未明确可见的内容
- 不要复述聊天上下文本身(那是 description 之外的事)
- 不要输出 markdown 标记`
export interface ImageAnalysisContext {
sender: string
sentAt: number
contextBefore: string[] // 图片前 1-3 条消息
contextAfter: string[] // 图片后 1-3 条消息
}
export function buildImageAnalysisUserText(ctx: ImageAnalysisContext): string {
const before = ctx.contextBefore.length
? ctx.contextBefore.map((m, i) => ` ${i + 1}. ${m}`).join('\n')
: ' (无前文)'
const after = ctx.contextAfter.length
? ctx.contextAfter.map((m, i) => ` ${i + 1}. ${m}`).join('\n')
: ' (无后续讨论)'
const time = new Date(ctx.sentAt * 1000).toLocaleString('zh-CN', { hour12: false })
return `发送者:${ctx.sender}
时间:${time}
图片前的聊天:
${before}
图片后的聊天:
${after}
请输出 JSON(严格遵守 system 要求):
{"description":"...","ocrText":"...","tags":["..."],"category":"...","importance":"..."}`
}
/**
* 把 AI 文本响应解析成结构化字段。
* 容忍:无 markdown 包裹、有 markdown 包裹、尾部有杂质等。
*/
export function parseImageAnalysisResponse(raw: string): {
description: string
ocrText: string
tags: string[]
category: 'screenshot' | 'photo' | 'meme' | 'document' | 'chart' | 'other'
importance: 'low' | 'medium' | 'high'
} {
const text = raw.trim()
// 提取 JSON 段
const jsonMatch = text.match(/\{[\s\S]*\}/)
if (!jsonMatch) {
throw new Error('AI 未返回合法 JSON')
}
let parsed: Record<string, unknown>
try {
parsed = JSON.parse(jsonMatch[0])
} catch {
throw new Error('AI 返回的 JSON 无法解析')
}
const description = String(parsed.description || '').trim()
if (!description) throw new Error('AI 未返回 description')
const ocrText = String(parsed.ocrText || '').trim()
const tagsRaw = parsed.tags
const tags = Array.isArray(tagsRaw)
? tagsRaw.map((t) => String(t).trim()).filter(Boolean).slice(0, 8)
: []
const categoryRaw = String(parsed.category || 'other').toLowerCase()
const category: 'screenshot' | 'photo' | 'meme' | 'document' | 'chart' | 'other' =
['screenshot', 'photo', 'meme', 'document', 'chart'].includes(categoryRaw)
? (categoryRaw as 'screenshot' | 'photo' | 'meme' | 'document' | 'chart')
: 'other'
const importanceRaw = String(parsed.importance || 'medium').toLowerCase()
const importance: 'low' | 'medium' | 'high' = ['low', 'medium', 'high'].includes(importanceRaw)
? (importanceRaw as 'low' | 'medium' | 'high')
: 'medium'
return { description, ocrText, tags, category, importance }
}
+279
View File
@@ -0,0 +1,279 @@
// src/main/services/image-insight-service.ts
// WechatExplorer AI 图片理解基础设施
//
// 设计原则:
// 1. base64 不走 IPC,只在 main 内部流转(renderer 只看到 ImageInsight 结构化结果)
// 2. 同图(imageHash)走缓存,绝不重复调 AI
// 3. 失败不抛,日志记录 + 返回原状(不阻塞日报)
// 4. 第一阶段:Top 3 热点图 + 缓存命中即返回,未命中并发调 AI
import crypto from 'crypto'
import { randomUUID } from 'crypto'
import { imageInsightsStore } from '../db/image-insights-store'
import {
buildImageAnalysisUserText,
IMAGE_ANALYSIS_SYSTEM_PROMPT,
parseImageAnalysisResponse
} from './image-insight-prompt'
import type {
ImageAnalysisRequest,
ImageAnalysisResponse,
ImageCandidate,
ImageCandidateQuery,
ImageInsight
} from '../../shared/image-insight'
/**
* 单张图片的最小信息(由 renderer 从已加载的 messages 中提取并传入 main)。
* 这样可以避免 ImageInsightService 自己重新查询消息,且参数语义清晰。
*/
export interface ImageCandidateInput {
messageId: string
md5?: string
datName?: string
sessionId: string
sender: string
sentAt: number
/** 图片发出后 8 条消息内、不同发言人的回复数(由 renderer 计算) */
responseCount: number
/** 表情/语音互动条数 */
interactionCount: number
}
interface ProviderServiceLike {
list(): ProviderSummaryLike
analyzeImage(
messages: Array<{
role: string
content: string | Array<{ type: 'text'; text: string } | { type: 'image'; dataUrl: string }>
}>,
options?: { providerId?: string; modelId?: string }
): Promise<{
success: boolean
data?: string
error?: string
}>
}
interface DecryptServiceLike {
findImageFile(
md5?: string,
imageDatName?: string,
options?: { allowThumbnail?: boolean }
): string | null
decryptImageToBase64(datPath: string): string | null
}
interface ProviderSummaryLike {
providers: Array<{
id: string
isDefault: boolean
defaultModel: string
models: Array<{ id: string; capabilities: { vision: boolean; ocr: boolean } }>
}>
defaultProviderId?: string
}
class ImageInsightService {
private providerService: ProviderServiceLike | null = null
private decryptService: DecryptServiceLike | null = null
/** 最近一次实际使用的默认 AI provider/model,仅用于写入分析元数据 */
private runtimeProviderId: string | undefined = undefined
private runtimeModelId: string | undefined = undefined
/** 注入依赖(由 main/index.ts 在 app ready 后调用) */
bind(deps: {
providerService: ProviderServiceLike & { list(): ProviderSummaryLike }
decryptService: DecryptServiceLike
}): void {
this.providerService = deps.providerService
this.decryptService = deps.decryptService
console.log(
'[ImageInsightService] bind ok, default provider=%s model=%s',
this.runtimeProviderId,
this.runtimeModelId
)
// 读取默认 provider/model(后续 analyze 时使用)
try {
const list = deps.providerService.list()
const provider =
list.providers.find((p) => p.id === list.defaultProviderId) || list.providers[0]
this.runtimeProviderId = provider?.id
this.runtimeModelId = provider?.defaultModel
console.log(
'[ImageInsightService] bind loaded default provider=%s model=%s',
this.runtimeProviderId,
this.runtimeModelId
)
} catch (error) {
console.warn('[ImageInsightService] bind list failed:', error)
}
}
/**
* 计算图片缓存 key:imageHash。
* 策略:优先微信原始 md5,无 md5 才用 sha256(rawBytes).slice(0, 32)
*/
private async computeImageHash(
md5: string | undefined,
datName: string | undefined
): Promise<string | null> {
if (md5 && md5.trim()) return md5.trim().toLowerCase()
if (!this.decryptService) return null
const filePath = this.decryptService.findImageFile(undefined, datName, { allowThumbnail: true })
if (!filePath) return null
// 一次性读盘 + sha256(只在没有 md5 时才付出 IO)
try {
const fs = await import('fs-extra')
const buf = await fs.readFile(filePath)
const sha = crypto.createHash('sha256').update(buf).digest('hex').slice(0, 32)
return `sha256:${sha}`
} catch (error) {
console.warn('[ImageInsightService] computeImageHash failed:', error)
return null
}
}
/** 通过 hash 拿 Insight(只读缓存,无 AI 调用) */
getInsight(imageHash: string): ImageInsight | null {
return imageInsightsStore.getByHash(imageHash)
}
/**
* 主入口:分析一张图片。
* 1. 通过 imageHash 查缓存,命中即返回
* 2. 未命中:解密图片 → 调 AI → 解析响应 → 落库 → 返回
* 3. 任意步骤失败:记录日志,返回 success=false,**不抛**
*/
async analyze(request: ImageAnalysisRequest): Promise<ImageAnalysisResponse> {
try {
if (!request.force) {
const cached = imageInsightsStore.getByHash(request.imageHash)
if (cached) {
return { success: true, insight: cached, fromCache: true }
}
}
if (!this.providerService) {
return { success: false, error: 'AI Provider 未初始化' }
}
const messages = [
{
role: 'system',
content: IMAGE_ANALYSIS_SYSTEM_PROMPT
},
{
role: 'user',
content: [
{
type: 'text' as const,
text: buildImageAnalysisUserText({
sender: request.sender,
sentAt: request.sentAt,
contextBefore: [],
contextAfter: []
})
},
{ type: 'image' as const, dataUrl: request.imageDataUrl }
]
}
]
const list = this.providerService.list()
const provider =
list.providers.find((item) => item.id === list.defaultProviderId) || list.providers[0]
this.runtimeProviderId = provider?.id
this.runtimeModelId = provider?.defaultModel
const result = await this.providerService.analyzeImage(messages, {
providerId: this.runtimeProviderId,
modelId: this.runtimeModelId
})
if (!result.success || !result.data) {
console.warn('[ImageInsightService] analyze vision failed: %s', result.error || 'no data')
return { success: false, error: result.error || 'AI 未返回内容' }
}
console.log('[ImageInsightService] analyze ok, description=%s', result.data.slice(0, 80))
const parsed = parseImageAnalysisResponse(result.data)
const insight: ImageInsight = {
id: randomUUID(),
messageId: request.messageId,
imageHash: request.imageHash,
md5: undefined,
datName: undefined,
description: parsed.description,
ocrText: parsed.ocrText || undefined,
tags: parsed.tags,
category: parsed.category,
importance: parsed.importance,
provider: this.runtimeProviderId || '',
model: this.runtimeModelId || '',
createdAt: Date.now(),
updatedAt: Date.now(),
sender: request.sender,
sentAt: request.sentAt,
sessionId: request.sessionId
}
imageInsightsStore.upsert(insight)
return { success: true, insight, fromCache: false }
} catch (error) {
const message = error instanceof Error ? error.message : String(error)
console.warn('[ImageInsightService] analyze failed:', message)
return { success: false, error: message }
}
}
/**
* 日报入口:从 renderer 传入的图片消息候选中挑 Top N + 命中缓存的 Insight。
*
* 设计:不自己查 chat-service(参数语义不清),而是由 renderer 从已加载的 messages 中
* 提取图片消息 + 计算热度后传入。这样既复用现有数据,又避免 userMd5/sessionId 混淆。
*/
async listTopHotImages(
query: ImageCandidateQuery,
inputs: ImageCandidateInput[] = []
): Promise<ImageCandidate[]> {
const limit = query.limit ?? 3
const candidates: ImageCandidate[] = []
console.log('[ImageInsightService] listTopHotImages received %d inputs', inputs.length)
for (const input of inputs) {
const hash = await this.computeImageHash(input.md5, input.datName)
if (!hash) {
console.log(
'[ImageInsightService] skip %s: hash empty (md5=%s datName=%s)',
input.messageId,
input.md5,
input.datName
)
continue
}
const heatScore = input.responseCount * 3 + input.interactionCount * 2 + 1
const candidate: ImageCandidate = {
messageId: input.messageId,
imageHash: hash,
md5: input.md5,
datName: input.datName,
sessionId: input.sessionId,
sender: input.sender,
sentAt: input.sentAt,
heatScore
}
const cached = imageInsightsStore.getByHash(hash)
if (cached) candidate.insight = cached
candidates.push(candidate)
}
candidates.sort((a, b) => b.heatScore - a.heatScore)
return candidates.slice(0, limit)
}
/**
* 列出会话所有 insights(按时间倒序,供未来 UI 复用)
*/
listBySession(sessionId: string, limit?: number): ImageInsight[] {
return imageInsightsStore.listBySession(sessionId, limit)
}
}
export const imageInsightService = new ImageInsightService()
+5 -2
View File
@@ -8,6 +8,7 @@ import {
} from '../../shared/local-api-test'
const REQUEST_TIMEOUT_MS = 10_000
const GROUP_REPORT_TIMEOUT_MS = 180_000
const MAX_BODY_SIZE = 512 * 1024
function isEndpointId(value: unknown): value is LocalApiEndpointId {
@@ -122,7 +123,9 @@ export async function testLocalApiRequest(payload: unknown): Promise<LocalApiTes
})
}
)
request.setTimeout(REQUEST_TIMEOUT_MS, () => {
const timeoutMs =
endpointId === 'agent-group-report' ? GROUP_REPORT_TIMEOUT_MS : REQUEST_TIMEOUT_MS
request.setTimeout(timeoutMs, () => {
request.destroy(new Error('请求超时'))
finish({
ok: false,
@@ -132,7 +135,7 @@ export async function testLocalApiRequest(payload: unknown): Promise<LocalApiTes
durationMs: Date.now() - startedAt,
responseSize: 0,
errorCode: 'TIMEOUT',
error: '请求超时(10 秒)'
error: `请求超时(${Math.round(timeoutMs / 1000)} 秒)`
})
})
request.on('error', (error: NodeJS.ErrnoException) => {
+17 -35
View File
@@ -2,6 +2,7 @@ import { app } from 'electron'
import fs from 'fs-extra'
import path from 'path'
import os from 'os'
import { discoverWindowsDbRoots } from '../windows-db-root-discovery'
export interface AppSettings {
dbRoot: string
@@ -12,6 +13,8 @@ export interface AppSettings {
imageXorKey: string
imageAesKey: string
imageKeyFallbackDisabled: boolean
autoLogin: boolean
autoLoginPreferenceSet: boolean
}
function getDefaultDbRoot(): string {
@@ -35,14 +38,7 @@ function getDefaultDbRootCandidates(home: string): string[] {
path.join(os.homedir(), 'AppData', 'Roaming', 'Tencent', 'xwechat_files')
]
for (const drive of getWindowsDrives()) {
candidates.push(path.join(`${drive}:\\`, 'xwechat_files'))
candidates.push(path.join(`${drive}:\\`, 'WeChat Files'))
for (const child of listDirectories(`${drive}:\\`)) {
candidates.push(path.join(child, 'xwechat_files'))
candidates.push(path.join(child, 'WeChat Files'))
}
}
candidates.push(...discoverWindowsDbRoots())
return unique(candidates)
}
@@ -66,32 +62,6 @@ function getWeflowDbPathCandidates(home: string): string[] {
return candidates
}
function getWindowsDrives(): string[] {
const drives: string[] = []
for (let code = 67; code <= 90; code += 1) {
const drive = String.fromCharCode(code)
if (fs.existsSync(`${drive}:\\`)) drives.push(drive)
}
return drives
}
function listDirectories(root: string): string[] {
try {
return fs
.readdirSync(root)
.map((name) => path.join(root, name))
.filter((candidate) => {
try {
return fs.statSync(candidate).isDirectory()
} catch {
return false
}
})
} catch {
return []
}
}
function unique(values: string[]): string[] {
return Array.from(new Set(values))
}
@@ -118,7 +88,13 @@ const DEFAULT_SETTINGS: AppSettings = {
imageKeyRoot: defaultDbRoot,
imageXorKey: '',
imageAesKey: '',
imageKeyFallbackDisabled: false
imageKeyFallbackDisabled: false,
autoLogin: ['1', 'true', 'yes', 'on'].includes(
String(import.meta.env.VITE_AUTO_LOGIN || '')
.trim()
.toLowerCase()
),
autoLoginPreferenceSet: false
}
const SETTINGS_FILE = path.join(
@@ -138,6 +114,12 @@ export function loadSettings(): AppSettings {
if (fs.existsSync(SETTINGS_FILE)) {
const raw = fs.readJsonSync(SETTINGS_FILE) as Partial<AppSettings>
cache = { ...DEFAULT_SETTINGS, ...raw }
if (raw.autoLogin === undefined) {
const hasSavedDatabaseKey = fs.existsSync(
path.join(app.getPath('userData'), 'wechat-db-key.bin')
)
if (hasSavedDatabaseKey) cache.autoLogin = true
}
if (process.platform === 'win32' && !isUsableDbRoot(cache.dbRoot)) {
cache.dbRoot = getDefaultDbRoot()
}
+26 -42
View File
@@ -1,6 +1,7 @@
import fs from 'fs-extra'
import path from 'path'
import os from 'os'
import { discoverWindowsDbRoots } from './windows-db-root-discovery'
import crypto from 'crypto'
import { createRequire } from 'module'
import { createConnection, Socket } from 'net'
@@ -32,6 +33,9 @@ export interface Wcdb4MessageQueryOptions {
export interface Wcdb4GroupMember {
m_nsUsrName: string
nickname: string
groupNickname: string
wechatNickname: string
remark: string
m_nsHeadImgUrl: string
}
@@ -300,14 +304,7 @@ export class Wcdb4Client {
path.join(home, 'WeChat Files'),
path.join(home, 'AppData', 'Roaming', 'Tencent', 'xwechat_files')
]
for (const drive of Wcdb4Client.getWindowsDrives()) {
candidates.push(path.join(`${drive}:\\`, 'xwechat_files'))
candidates.push(path.join(`${drive}:\\`, 'WeChat Files'))
for (const child of Wcdb4Client.listDirectories(`${drive}:\\`)) {
candidates.push(path.join(child, 'xwechat_files'))
candidates.push(path.join(child, 'WeChat Files'))
}
}
candidates.push(...discoverWindowsDbRoots())
return Array.from(new Set(candidates))
}
return [path.join(home, 'Library/Containers/com.tencent.xinWeChat/Data/Documents/xwechat_files')]
@@ -332,32 +329,6 @@ export class Wcdb4Client {
return candidates
}
private static getWindowsDrives(): string[] {
const drives: string[] = []
for (let code = 67; code <= 90; code += 1) {
const drive = String.fromCharCode(code)
if (fs.existsSync(`${drive}:\\`)) drives.push(drive)
}
return drives
}
private static listDirectories(root: string): string[] {
try {
return fs
.readdirSync(root)
.map((name) => path.join(root, name))
.filter((candidate) => {
try {
return fs.statSync(candidate).isDirectory()
} catch {
return false
}
})
} catch {
return []
}
}
private static hasDbStorage(candidate: string): boolean {
try {
return fs.statSync(candidate).isDirectory() && fs.existsSync(path.join(candidate, 'db_storage'))
@@ -930,17 +901,24 @@ export class Wcdb4Client {
'member_username',
'm_nsUsrName'
])
const memberNickname = this.pickString(row, [
const wechatNickname = this.pickString(row, [
'nickname',
'nickName',
'wechatNickname',
'wechat_nickname',
'm_nsNickName'
])
const remark = this.pickString(row, [
'remark',
'remarkName',
'remark_name',
'contactRemark',
'contact_remark'
])
const memberNickname = this.pickString(row, [
'displayName',
'display_name',
'groupNickname',
'group_nickname',
'roomNickname',
'room_nickname',
'remark',
'm_nsNickName'
'name'
])
const avatar = this.pickString(row, [
'avatarUrl',
@@ -955,7 +933,11 @@ export class Wcdb4Client {
return {
m_nsUsrName: username,
nickname: groupNicknames.get(username) || memberNickname,
nickname:
groupNicknames.get(username) || remark || wechatNickname || memberNickname,
groupNickname: groupNicknames.get(username) || '',
wechatNickname: wechatNickname || memberNickname,
remark,
m_nsHeadImgUrl: avatar
}
})
@@ -975,6 +957,8 @@ export class Wcdb4Client {
...member,
nickname:
member.nickname || this.displayNameCache.get(member.m_nsUsrName) || member.m_nsUsrName,
wechatNickname:
member.wechatNickname || this.displayNameCache.get(member.m_nsUsrName) || '',
m_nsHeadImgUrl: member.m_nsHeadImgUrl || this.avatarCache.get(member.m_nsUsrName) || ''
}))
} catch {
+76
View File
@@ -0,0 +1,76 @@
import fs from 'fs-extra'
import path from 'path'
const DB_ROOT_NAMES = new Set(['xwechat_files', 'wechat files'])
const SKIPPED_DIRECTORY_NAMES = new Set([
'$recycle.bin',
'system volume information',
'windows',
'program files',
'program files (x86)',
'programdata',
'recovery'
])
const MAX_VISITED_DIRECTORIES_PER_DRIVE = 20_000
let cachedDiscoveredRoots: string[] | null = null
function unique(values: string[]): string[] {
return Array.from(new Set(values.map((value) => path.normalize(value))))
}
export function getWindowsDrives(): string[] {
if (process.platform !== 'win32') return []
const drives: string[] = []
for (let code = 67; code <= 90; code += 1) {
const root = `${String.fromCharCode(code)}:\\`
if (fs.existsSync(root)) drives.push(root)
}
return drives
}
export function scanWindowsDbRoots(driveRoots: string[], maxDepth = 3): string[] {
const results: string[] = []
for (const driveRoot of driveRoots) {
const queue: Array<{ directory: string; depth: number }> = [{ directory: driveRoot, depth: 0 }]
let visited = 0
while (queue.length > 0 && visited < MAX_VISITED_DIRECTORIES_PER_DRIVE) {
const current = queue.shift()
if (!current || current.depth >= maxDepth) continue
let entries: fs.Dirent[]
try {
entries = fs.readdirSync(current.directory, { withFileTypes: true })
} catch {
continue
}
for (const entry of entries) {
if (!entry.isDirectory() || entry.isSymbolicLink()) continue
const lowered = entry.name.toLowerCase()
const fullPath = path.join(current.directory, entry.name)
const depth = current.depth + 1
visited += 1
if (DB_ROOT_NAMES.has(lowered)) {
results.push(fullPath)
continue
}
if (depth < maxDepth && !SKIPPED_DIRECTORY_NAMES.has(lowered)) {
queue.push({ directory: fullPath, depth })
}
if (visited >= MAX_VISITED_DIRECTORIES_PER_DRIVE) break
}
}
}
return unique(results)
}
export function discoverWindowsDbRoots(): string[] {
if (!cachedDiscoveredRoots) {
cachedDiscoveredRoots = scanWindowsDbRoots(getWindowsDrives(), 3)
}
return [...cachedDiscoveredRoots]
}
+55 -2
View File
@@ -30,6 +30,15 @@ import type {
AIVisionTestResult,
LegacyAIConfig
} from '../shared/ai-provider'
import type {
ImageAnalysisRequest,
ImageAnalysisResponse,
ImageCandidate,
ImageCandidateQuery,
ImageInsight
} from '../shared/image-insight'
import type { AgentHubActionResult, AgentHubLogEntry, AgentHubStatus } from '../shared/agent-hub'
import type { AppLogEntry } from '../shared/app-log'
export type ParsedContent =
| { type: 'text'; content: string }
@@ -63,6 +72,9 @@ declare global {
interface Window {
electron: ElectronAPI
api: {
writeAppLog: (entry: AppLogEntry) => Promise<void>
getAppLogPath: () => Promise<string>
revealAppLog: () => Promise<void>
initDb: (
key: string
) => Promise<boolean | { success: boolean; error?: string; monitoring?: boolean }>
@@ -87,7 +99,14 @@ declare global {
getGroupSnapshot: (userMd5: string) => Promise<{
roomId: string
memberCount: number
members: { wxid: string; nickname: string; avatar: string }[]
members: {
wxid: string
nickname: string
groupNickname: string
wechatNickname: string
remark: string
avatar: string
}[]
} | null>
search: (keyword: string) => Promise<string | null>
aiChat: (
@@ -172,6 +191,8 @@ declare global {
apiHost: string
apiPort: number
imageKeyRoot: string
autoLogin: boolean
autoLoginPreferenceSet: boolean
imageXorKey: string
imageAesKey: string
}
@@ -196,6 +217,8 @@ declare global {
apiHost: string
apiPort: number
imageKeyRoot: string
autoLogin: boolean
autoLoginPreferenceSet: boolean
imageXorKey: string
imageAesKey: string
}
@@ -208,6 +231,8 @@ declare global {
apiHost: string
apiPort: number
imageKeyRoot: string
autoLogin: boolean
autoLoginPreferenceSet: boolean
imageXorKey: string
imageAesKey: string
}>
@@ -218,6 +243,8 @@ declare global {
apiHost: string
apiPort: number
imageKeyRoot: string
autoLogin: boolean
autoLoginPreferenceSet: boolean
imageXorKey: string
imageAesKey: string
}
@@ -238,7 +265,9 @@ declare global {
}>
selectDbRoot: () => Promise<{ canceled: boolean; path?: string }>
openAccountRoot: () => Promise<{ success: boolean; error?: string }>
disconnectDb: () => Promise<{ success: boolean; error?: string }>
disconnectDb: (options?: {
closeNative?: boolean
}) => Promise<{ success: boolean; error?: string }>
apiStatus: () => Promise<{
running: boolean
host: string
@@ -270,6 +299,30 @@ declare global {
openReaderSkillGithub: () => Promise<{ success: boolean; error?: string }>
testLocalApiRequest: (request: LocalApiTestRequest) => Promise<LocalApiTestResponse>
copyText: (text: string) => Promise<{ success: boolean; error?: string }>
// ============================================================
// AI 图片理解基础设施(ImageInsightService)
// ============================================================
imageListCandidates: (query: ImageCandidateQuery) => Promise<{
success: boolean
candidates: ImageCandidate[]
error?: string
}>
imageAnalyze: (request: ImageAnalysisRequest) => Promise<ImageAnalysisResponse>
getImageInsight: (imageHash: string) => Promise<{ success: boolean; insight?: ImageInsight }>
listImageInsights: (
sessionId: string,
limit?: number
) => Promise<{ success: boolean; insights: ImageInsight[] }>
getAgentHubStatus: () => Promise<AgentHubStatus>
getAgentHubLogs: () => Promise<AgentHubLogEntry[]>
clearAgentHubLogs: () => Promise<void>
startAgentHubLogin: () => Promise<AgentHubActionResult>
cancelAgentHubLogin: () => Promise<AgentHubActionResult>
reconnectAgentHub: () => Promise<AgentHubActionResult>
disconnectAgentHub: () => Promise<AgentHubActionResult>
selectAgentHubTestImage: () => Promise<{ canceled: boolean; path?: string }>
onAgentHubStatus: (callback: (status: AgentHubStatus) => void) => () => void
onAgentHubLog: (callback: (entry: AgentHubLogEntry) => void) => () => void
}
}
}
+54 -2
View File
@@ -8,9 +8,21 @@ import type {
AIVisionTestRequest,
LegacyAIConfig
} from '../shared/ai-provider'
import type {
ImageAnalysisRequest,
ImageAnalysisResponse,
ImageCandidate,
ImageCandidateQuery,
ImageInsight
} from '../shared/image-insight'
import type { AgentHubLogEntry, AgentHubStatus } from '../shared/agent-hub'
import type { AppLogEntry } from '../shared/app-log'
// 渲染器的自定义 API
const api = {
writeAppLog: (entry: AppLogEntry) => ipcRenderer.invoke('app-log:write', entry),
getAppLogPath: () => ipcRenderer.invoke('app-log:getPath'),
revealAppLog: () => ipcRenderer.invoke('app-log:reveal'),
initDb: (key: string) => ipcRenderer.invoke('db:init', key),
getBootstrapCache: () => ipcRenderer.invoke('db:getBootstrapCache'),
getContacts: (filter?: string) => ipcRenderer.invoke('db:getContacts', filter),
@@ -98,7 +110,8 @@ const api = {
reopenWithRoot: (accountRoot: string) => ipcRenderer.invoke('db:reopenWithRoot', accountRoot),
selectDbRoot: () => ipcRenderer.invoke('settings:selectDbRoot'),
openAccountRoot: () => ipcRenderer.invoke('settings:openAccountRoot'),
disconnectDb: () => ipcRenderer.invoke('db:disconnect'),
disconnectDb: (options?: { closeNative?: boolean }) =>
ipcRenderer.invoke('db:disconnect', options),
apiStatus: () => ipcRenderer.invoke('api:getStatus'),
apiStart: (host?: string, port?: number) => ipcRenderer.invoke('api:start', host, port),
apiStop: () => ipcRenderer.invoke('api:stop'),
@@ -108,7 +121,46 @@ const api = {
revealReaderSkill: () => ipcRenderer.invoke('api:revealSkill'),
openReaderSkillGithub: () => ipcRenderer.invoke('api:openSkillGithub'),
testLocalApiRequest: (request) => ipcRenderer.invoke('api:testLocalRequest', request),
copyText: (text: string) => ipcRenderer.invoke('api:copyText', text)
copyText: (text: string) => ipcRenderer.invoke('api:copyText', text),
// ============================================================
// AI 图片理解基础设施(ImageInsightService)
// ============================================================
imageListCandidates: (
query: ImageCandidateQuery
): Promise<{
success: boolean
candidates: ImageCandidate[]
error?: string
}> => ipcRenderer.invoke('image:listCandidates', query),
imageAnalyze: (request: ImageAnalysisRequest): Promise<ImageAnalysisResponse> =>
ipcRenderer.invoke('image:analyze', request),
getImageInsight: (imageHash: string): Promise<{ success: boolean; insight?: ImageInsight }> =>
ipcRenderer.invoke('image:getInsight', imageHash),
listImageInsights: (
sessionId: string,
limit?: number
): Promise<{ success: boolean; insights: ImageInsight[] }> =>
ipcRenderer.invoke('image:listInsights', sessionId, limit),
getAgentHubStatus: () => ipcRenderer.invoke('agent-hub:getStatus'),
getAgentHubLogs: () => ipcRenderer.invoke('agent-hub:getLogs'),
clearAgentHubLogs: () => ipcRenderer.invoke('agent-hub:clearLogs'),
startAgentHubLogin: () => ipcRenderer.invoke('agent-hub:startLogin'),
cancelAgentHubLogin: () => ipcRenderer.invoke('agent-hub:cancelLogin'),
reconnectAgentHub: () => ipcRenderer.invoke('agent-hub:reconnect'),
disconnectAgentHub: () => ipcRenderer.invoke('agent-hub:disconnect'),
selectAgentHubTestImage: () => ipcRenderer.invoke('agent-hub:selectTestImage'),
onAgentHubStatus: (callback: (status: AgentHubStatus) => void) => {
const listener = (_event: Electron.IpcRendererEvent, status: AgentHubStatus): void =>
callback(status)
ipcRenderer.on('agent-hub:status', listener)
return () => ipcRenderer.removeListener('agent-hub:status', listener)
},
onAgentHubLog: (callback: (entry: AgentHubLogEntry) => void) => {
const listener = (_event: Electron.IpcRendererEvent, entry: AgentHubLogEntry): void =>
callback(entry)
ipcRenderer.on('agent-hub:log', listener)
return () => ipcRenderer.removeListener('agent-hub:log', listener)
}
}
if (process.contextIsolated) {
+114 -110
View File
@@ -4,6 +4,7 @@ import ChatWindow from './components/ChatWindow'
import { AppShell } from './components/layout/AppShell'
import { ApiWorkspace } from './features/api-center/ApiWorkspace'
import { SettingsWorkspace } from './features/settings/SettingsWorkspace'
import { AgentHubWorkspace } from './features/agent-hub/AgentHubWorkspace'
import type { SettingsCategoryId } from './features/settings/model/types'
import type { AIRuntimeModelConfig } from '../../shared/ai-provider'
import { AppPage } from './components/layout/navigation'
@@ -18,33 +19,14 @@ import type { GeneratedReportRecord, ReportWorkspaceView } from './components/re
import { AiModelConfig, useGroupReportGeneration } from './hooks/useGroupReportGeneration'
import { SummaryDateRange, SummaryMessageType } from './utils/group-report'
import { Contact, Message } from '../../shared/types'
import { DatabaseConnectionMode, DatabaseConnectionPage } from './components/DatabaseConnectionPage'
const SIDEBAR_MIN_WIDTH = 260
const SIDEBAR_MAX_WIDTH = 380
function EyeIcon({ hidden }: { hidden: boolean }): React.ReactElement {
return (
<svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
<path
d="M2.5 12s3.5-6 9.5-6 9.5 6 9.5 6-3.5 6-9.5 6-9.5-6-9.5-6Z"
fill="none"
stroke="currentColor"
strokeWidth="1.8"
strokeLinecap="round"
strokeLinejoin="round"
/>
<circle cx="12" cy="12" r="3" fill="none" stroke="currentColor" strokeWidth="1.8" />
{hidden && (
<path
d="M4 4l16 16"
fill="none"
stroke="currentColor"
strokeWidth="1.8"
strokeLinecap="round"
/>
)}
</svg>
)
function getDevelopmentDatabaseKey(): string {
if (!import.meta.env.DEV) return ''
return String(import.meta.env.VITE_DB_KEY || '').trim()
}
interface SelfInfo {
@@ -57,12 +39,6 @@ interface SelfInfo {
const MAC_KEY_FAQ_URL = 'https://github.com/hicccc77/WeFlow/blob/main/docs/MAC-KEY-FAQ.md'
const MESSAGE_MONITOR_DEBOUNCE_MS = 8000
const VIEW_MESSAGE_LIMIT = 600
const AUTO_LOGIN_ENABLED = ['1', 'true', 'yes', 'on'].includes(
String(import.meta.env.VITE_AUTO_LOGIN || '')
.trim()
.toLowerCase()
)
const getMessageIdentity = (message: Message): string => {
if (message.localId) return `local:${message.localId}`
if (message.id) return `id:${message.id}`
@@ -81,7 +57,14 @@ const areMessagesEquivalent = (left: Message[], right: Message[]): boolean => {
type GroupSnapshot = {
roomId: string
memberCount: number
members: { wxid: string; nickname: string; avatar: string }[]
members: {
wxid: string
nickname: string
groupNickname: string
wechatNickname: string
remark: string
avatar: string
}[]
}
type GroupMemberMeta = { nickname: string; avatar: string }
@@ -152,7 +135,7 @@ const sortMessagesChronologically = (items: Message[]): Message[] =>
function App(): React.ReactElement {
const [isAuthenticated, setIsAuthenticated] = useState(false)
const [isDatabaseConnected, setIsDatabaseConnected] = useState(false)
const [dbKey, setDbKey] = useState(import.meta.env.VITE_DB_KEY || '')
const [dbKey, setDbKey] = useState(getDevelopmentDatabaseKey)
const [contacts, setContacts] = useState<Contact[]>([])
const [selectedContact, setSelectedContact] = useState<Contact | null>(null)
const [messages, setMessages] = useState<Message[]>([])
@@ -164,7 +147,11 @@ function App(): React.ReactElement {
const [dbKeyStatus, setDbKeyStatus] = useState('')
const [dbKeyStatusKind, setDbKeyStatusKind] = useState<'normal' | 'success' | 'error'>('normal')
const [showDbKey, setShowDbKey] = useState(false)
const [dbRootInput, setDbRootInput] = useState('')
const [showMacKeyFaq, setShowMacKeyFaq] = useState(false)
const [databaseConnectionMode, setDatabaseConnectionMode] = useState<DatabaseConnectionMode>(
getDevelopmentDatabaseKey() ? 'manual' : 'automatic'
)
const [activePage, setActivePage] = useState<AppPage>('archive')
const [settingsCategory, setSettingsCategory] = useState<SettingsCategoryId>('account-database')
const [reportSourceContact, setReportSourceContact] = useState<Contact | null>(null)
@@ -248,18 +235,25 @@ function App(): React.ReactElement {
const waitForPaint = (): Promise<void> => new Promise((resolve) => window.setTimeout(resolve, 80))
const refreshSelfInfo = async (): Promise<void> => {
try {
const result = await window.api.getSelf()
if (result.ready) {
setSelfInfo(result.info)
} else {
setSelfInfo(null)
const refreshSelfInfo = async (attempts = 1): Promise<SelfInfo | null> => {
let lastError: unknown
for (let attempt = 0; attempt < Math.max(1, attempts); attempt += 1) {
try {
const result = await window.api.getSelf()
if (result.ready && result.info) {
setSelfInfo(result.info)
return result.info
}
} catch (error) {
lastError = error
}
if (attempt + 1 < attempts) {
await new Promise((resolve) => window.setTimeout(resolve, 180))
}
} catch (error) {
console.warn('[SelfInfo] 加载失败:', error)
setSelfInfo(null)
}
if (lastError) console.warn('[SelfInfo] 加载失败:', lastError)
setSelfInfo(null)
return null
}
const loadBootstrapCache = async (): Promise<boolean> => {
@@ -322,7 +316,7 @@ function App(): React.ReactElement {
usernames.length ? 55 : 90
)
let loadedCount = 0
const chunkSize = 8
const chunkSize = 32
for (let index = 0; index < usernames.length; index += chunkSize) {
if (runId !== contactAvatarHydrationRunRef.current) return
const chunk = usernames.slice(index, index + chunkSize)
@@ -353,7 +347,7 @@ function App(): React.ReactElement {
} catch (error) {
console.warn('[Contacts] avatar hydrate failed:', error)
}
await new Promise((resolve) => window.setTimeout(resolve, 150))
await new Promise((resolve) => window.setTimeout(resolve, 50))
}
if (usernames.length) onProgress?.('头像加载完成', 90)
}
@@ -361,9 +355,15 @@ function App(): React.ReactElement {
React.useEffect(() => {
let active = true
const attemptAutoConnect = async (): Promise<void> => {
// 优先级 1: 构建期环境变量 VITE_DB_KEY(本地开发用)
const envKey = String(import.meta.env.VITE_DB_KEY || '').trim()
// 优先级 2: 上一次保存到 safeStorage 的密钥
const settingsResult = await window.api.getSettings()
// 预填已保存的微信聊天文件路径
if (active && settingsResult.settings.dbRoot) {
setDbRootInput(settingsResult.settings.dbRoot)
}
const autoLoginEnabled = settingsResult.settings.autoLogin
// 开发环境允许使用 VITE_DB_KEY;生产安装包只能读取目标电脑自己的 safeStorage。
const envKey = getDevelopmentDatabaseKey()
// 生产环境以及未配置开发密钥时,读取上一次保存到 safeStorage 的密钥。
let savedKey = ''
if (!envKey) {
const result = await window.api.getSavedDbKey()
@@ -371,14 +371,18 @@ function App(): React.ReactElement {
}
const key = envKey || savedKey
if (!key) {
if (active) setBootState('login')
if (active) {
setDatabaseConnectionMode('automatic')
setBootState('login')
}
return
}
if (active) {
setDbKey(key)
setDatabaseConnectionMode('manual')
setAutoConnectSource(envKey ? 'env' : 'saved')
setDbKeyStatus(
AUTO_LOGIN_ENABLED
autoLoginEnabled
? envKey
? '检测到环境变量中的密钥,正在自动连接...'
: '已加载安全保存的密钥,正在自动连接...'
@@ -387,21 +391,24 @@ function App(): React.ReactElement {
: '已加载安全保存的密钥,请手动点击 Connect'
)
setDbKeyStatusKind('normal')
setBootState(AUTO_LOGIN_ENABLED ? 'connecting' : 'login')
setBootState(autoLoginEnabled ? 'connecting' : 'login')
}
if (!AUTO_LOGIN_ENABLED) return
if (!autoLoginEnabled) return
try {
const result = await window.api.initDb(key)
if (!active) return
const success = typeof result === 'boolean' ? result : result.success
if (success) {
if (!settingsResult.settings.autoLoginPreferenceSet) {
void window.api.setSettings({ autoLogin: true })
}
setIsNativeMonitorActive(typeof result !== 'boolean' && result.monitoring === true)
setIsAuthenticated(true)
setIsDatabaseConnected(true)
setDbKeyStatus('已自动连接')
setDbKeyStatusKind('success')
await loadContacts()
void refreshSelfInfo()
await refreshSelfInfo(3)
setIsAuthenticated(true)
} else {
const error = typeof result === 'boolean' ? '' : result.error
setDbKeyStatus(`自动连接失败,请重新输入${error ? `: ${error}` : ''}`)
@@ -439,6 +446,15 @@ function App(): React.ReactElement {
const keyToUse = keyInput || dbKey
if (!keyToUse) return
setBootState('connecting')
// 持久化用户手动指定的微信聊天文件路径,供 db:init 读取 settings.dbRoot
const trimmedRoot = dbRootInput.trim()
if (trimmedRoot) {
try {
await window.api.setSettings({ dbRoot: trimmedRoot })
} catch {
// 忽略保存失败,仍尝试用默认路径连接
}
}
setStartupProgress({
title: '正在连接数据库...',
subtitle: '正在初始化微信数据',
@@ -462,16 +478,24 @@ function App(): React.ReactElement {
detail: '正在读取本地缓存',
percent: 25
})
const hasBootstrapCache = await loadBootstrapCache()
await loadBootstrapCache()
// 持久化手动输入的密钥,供下次启动继续使用
void window.api.saveDbKey(keyToUse).catch(() => undefined)
void window.api.getSettings().then((current) => {
if (!current.settings.autoLoginPreferenceSet) {
void window.api.setSettings({ autoLogin: true })
}
})
setStartupProgress({
title: '正在加载账号信息...',
subtitle: '即将进入 WechatExplorer',
detail: '正在读取当前账号信息',
percent: 95
detail: '正在读取联系人和当前账号',
percent: 70
})
void refreshSelfInfo()
// 账号识别依赖联系人数据就绪。返回登录后数据已被清空,如果先查账号,
// 会出现“数据库已连接,但账号未连接”的分离状态。手动连接与启动自动连接保持同一顺序。
await loadContacts({ waitForAvatars: false })
await refreshSelfInfo(3)
setStartupProgress({
title: '加载完成',
subtitle: '正在进入主页面',
@@ -483,7 +507,6 @@ function App(): React.ReactElement {
setBootState('login')
window.setTimeout(() => {
setStartupProgress(null)
if (!hasBootstrapCache) void loadContacts({ waitForAvatars: false })
}, 500)
} else {
const error = typeof result === 'boolean' ? '' : result.error
@@ -588,6 +611,7 @@ function App(): React.ReactElement {
throw new Error(result.error || '获取密钥失败')
}
setDbKey(result.key)
setDatabaseConnectionMode('manual')
setDbKeyStatus(result.saved ? '密钥已获取并安全保存' : result.warning || '密钥已获取')
setDbKeyStatusKind(result.saved ? 'success' : 'normal')
} catch (error) {
@@ -603,6 +627,7 @@ function App(): React.ReactElement {
const result = await window.api.pasteAndSaveDbKey()
if (result.success && result.key) {
setDbKey(result.key)
setDatabaseConnectionMode('manual')
setDbKeyStatus('已从剪贴板粘贴并安全保存')
setDbKeyStatusKind('success')
} else {
@@ -620,6 +645,7 @@ function App(): React.ReactElement {
return
}
setDbKey('')
setDatabaseConnectionMode('automatic')
setDbKeyStatus('已清除保存的密钥')
setDbKeyStatusKind('normal')
}
@@ -628,6 +654,7 @@ function App(): React.ReactElement {
setIsAuthenticated(false)
setIsDatabaseConnected(false)
setBootState('login')
setDatabaseConnectionMode(dbKey ? 'manual' : 'automatic')
setActivePage('archive')
setSettingsCategory('database-key')
setSelectedContact(null)
@@ -1012,9 +1039,9 @@ function App(): React.ReactElement {
}
const renderPlaceholderPage = (
page: Exclude<AppPage, 'archive' | 'report'>
page: Exclude<AppPage, 'archive' | 'report' | 'agent-hub'>
): React.ReactElement => {
const labels: Record<Exclude<AppPage, 'archive' | 'report'>, string> = {
const labels: Record<Exclude<AppPage, 'archive' | 'report' | 'agent-hub'>, string> = {
search: '检索',
export: '导出',
api: 'API',
@@ -1120,6 +1147,12 @@ function App(): React.ReactElement {
onRevealReport={reportGeneration.revealReport}
onViewResult={openReportResult}
hasReportResult={generatedReports.length > 0}
templateId={reportGeneration.templateId}
onTemplateIdChange={reportGeneration.setTemplateId}
memberNamePreference={reportGeneration.memberNamePreference}
onMemberNamePreferenceChange={reportGeneration.setMemberNamePreference}
reportTimeoutSeconds={reportGeneration.reportTimeoutSeconds}
onReportTimeoutSecondsChange={reportGeneration.setReportTimeoutSeconds}
/>
<ReportTaskStatusPanel
phase={reportGeneration.phase}
@@ -1138,6 +1171,8 @@ function App(): React.ReactElement {
return renderArchiveWorkspace()
case 'report':
return renderReportWorkspace()
case 'agent-hub':
return <AgentHubWorkspace />
case 'api':
return (
<ApiWorkspace
@@ -1243,57 +1278,26 @@ function App(): React.ReactElement {
if (!isAuthenticated) {
return (
<div className="login-modal">
<div className="login-box">
<h2>Enter WeChat DB Key</h2>
<div className="login-input-wrapper">
<input
type={showDbKey ? 'text' : 'password'}
className="login-input"
value={dbKey}
onChange={(e) => setDbKey(e.target.value)}
placeholder="Key (e.g. 0x...)"
/>
<button
type="button"
className="login-input-toggle"
onClick={() => setShowDbKey(!showDbKey)}
title={showDbKey ? '隐藏密钥' : '显示密钥'}
>
<EyeIcon hidden={showDbKey} />
</button>
</div>
<button
className="login-btn login-btn-secondary"
onClick={handleAutoGetDbKey}
disabled={isFetchingDbKey}
>
{isFetchingDbKey ? '正在获取...' : '自动获取密钥'}
</button>
<button className="login-btn login-btn-secondary" onClick={handlePasteAndSaveDbKey}>
</button>
<button className="login-btn" onClick={() => handleLogin()}>
Connect
</button>
<button className="login-clear-btn" onClick={handleClearSavedDbKey}>
</button>
{dbKeyStatus && (
<div className={`login-key-status ${dbKeyStatusKind}`}>{dbKeyStatus}</div>
)}
{showMacKeyFaq && (
<a
className="login-key-help-link"
href={MAC_KEY_FAQ_URL}
target="_blank"
rel="noreferrer"
>
macOS
</a>
)}
</div>
</div>
<DatabaseConnectionPage
platform={window.electron.process.platform}
mode={databaseConnectionMode}
dbKey={dbKey}
dbRoot={dbRootInput}
showDbKey={showDbKey}
isFetching={isFetchingDbKey}
status={dbKeyStatus}
statusKind={dbKeyStatusKind}
showMacKeyFaq={showMacKeyFaq}
macKeyFaqUrl={MAC_KEY_FAQ_URL}
onModeChange={setDatabaseConnectionMode}
onDbKeyChange={setDbKey}
onDbRootChange={setDbRootInput}
onToggleDbKey={() => setShowDbKey((visible) => !visible)}
onAutoGetKey={handleAutoGetDbKey}
onManualConnect={() => handleLogin()}
onPasteKey={handlePasteAndSaveDbKey}
onClearKey={handleClearSavedDbKey}
/>
)
}
File diff suppressed because it is too large Load Diff
+3 -10
View File
@@ -20,7 +20,6 @@ interface ChatWindowProps {
isAiLoading?: boolean
}
const MAX_RENDERED_MESSAGES = 600
const DATE_RANGE_LABELS: Record<string, string> = {
today: '今天',
yesterday: '昨日',
@@ -242,12 +241,6 @@ const ChatWindow: React.FC<ChatWindowProps> = ({
return typeMatch && contentMatch
})
}, [messages, contentFilter])
const hiddenMessageCount = Math.max(0, filteredMessages.length - MAX_RENDERED_MESSAGES)
const renderedMessages = React.useMemo(
() => filteredMessages.slice(-MAX_RENDERED_MESSAGES),
[filteredMessages]
)
if (!contact) return <EmptyConversationState />
const dateRangeLabel = getChatHeaderRangeLabel(dateRange)
@@ -272,8 +265,8 @@ const ChatWindow: React.FC<ChatWindowProps> = ({
<DataTrustBar messageCount={messages.length} />
<MessageList
contact={contact}
messages={renderedMessages}
hiddenMessageCount={hiddenMessageCount}
messages={filteredMessages}
hiddenMessageCount={0}
isLoadingMessages={isLoadingMessages}
isGroupChat={isGroupChat}
showAvatar={showAvatar}
@@ -283,7 +276,7 @@ const ChatWindow: React.FC<ChatWindowProps> = ({
onImageClick={openImagePreview}
/>
<ChatStatusBar
count={renderedMessages.length}
count={filteredMessages.length}
showAvatar={showAvatar}
isAtLatest={isAtLatest}
onShowAvatarChange={setShowAvatar}
@@ -0,0 +1,300 @@
import React from 'react'
export type DatabaseConnectionMode = 'automatic' | 'manual'
export type DatabaseConnectionStatusKind = 'normal' | 'success' | 'error'
interface DatabaseConnectionPageProps {
platform: string
mode: DatabaseConnectionMode
dbKey: string
dbRoot: string
showDbKey: boolean
isFetching: boolean
status: string
statusKind: DatabaseConnectionStatusKind
showMacKeyFaq: boolean
macKeyFaqUrl: string
onModeChange: (mode: DatabaseConnectionMode) => void
onDbKeyChange: (value: string) => void
onDbRootChange: (value: string) => void
onToggleDbKey: () => void
onAutoGetKey: () => void
onManualConnect: () => void
onPasteKey: () => void
onClearKey: () => void
}
function LineIcon({
name
}: {
name: 'shield' | 'lock' | 'cloud' | 'info' | 'database'
}): React.ReactElement {
const paths = {
shield: <path d="M12 3 5 6v5c0 4.5 2.8 7.7 7 10 4.2-2.3 7-5.5 7-10V6l-7-3Z" />,
lock: <path d="M7 10V8a5 5 0 0 1 10 0v2m-11 0h12v10H6V10Z" />,
cloud: (
<path d="m4 4 16 16M7.5 16H6a4 4 0 0 1-.5-8A6.5 6.5 0 0 1 17 6.8M18.5 10A4 4 0 0 1 18 18h-7" />
),
info: <path d="M12 8h.01M11 12h1v4h1M12 3a9 9 0 1 0 0 18 9 9 0 0 0 0-18Z" />,
database: (
<path d="M5 6c0-1.7 3.1-3 7-3s7 1.3 7 3-3.1 3-7 3-7-1.3-7-3Zm0 0v6c0 1.7 3.1 3 7 3s7-1.3 7-3V6m-14 6v6c0 1.7 3.1 3 7 3s7-1.3 7-3v-6" />
)
}
return (
<svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
<g
fill="none"
stroke="currentColor"
strokeWidth="1.7"
strokeLinecap="round"
strokeLinejoin="round"
>
{paths[name]}
</g>
</svg>
)
}
function EyeIcon({ visible }: { visible: boolean }): React.ReactElement {
return (
<svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
<path d="M2.5 12s3.5-6 9.5-6 9.5 6 9.5 6-3.5 6-9.5 6-9.5-6-9.5-6Z" />
<circle cx="12" cy="12" r="3" />
{!visible && <path d="M4 4l16 16" />}
</svg>
)
}
function StoragePathHelp(): React.ReactElement {
return (
<span className="database-login-path-help">
<span
className="database-login-path-help-icon"
tabIndex={0}
aria-describedby="storage-path-help"
>
!
</span>
<span id="storage-path-help" className="database-login-path-tooltip" role="tooltip">
</span>
</span>
)
}
export function DatabaseConnectionPage({
platform,
mode,
dbKey,
dbRoot,
showDbKey,
isFetching,
status,
statusKind,
showMacKeyFaq,
macKeyFaqUrl,
onModeChange,
onDbKeyChange,
onDbRootChange,
onToggleDbKey,
onAutoGetKey,
onManualConnect,
onPasteKey,
onClearKey
}: DatabaseConnectionPageProps): React.ReactElement {
const isMac = platform === 'darwin'
const defaultPath = isMac
? '~/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/'
: 'C:\\Users\\...\\WeChat Files\\Msg'
const keyIsValid = /^[0-9a-f]{64}$/i.test(dbKey.trim().replace(/^0x/i, ''))
return (
<main className="database-login-page">
<section className="database-login-brand" aria-label="WechatExplorer 产品说明">
<div className="database-login-brand-content">
<div className="database-login-logo" aria-hidden="true">
<LineIcon name="database" />
</div>
<h1>WechatExplorer</h1>
<p className="database-login-tagline"></p>
<p className="database-login-description">
</p>
<div className="database-login-promises">
<div>
<LineIcon name="shield" />
<span></span>
</div>
<div>
<LineIcon name="lock" />
<span></span>
</div>
<div>
<LineIcon name="cloud" />
<span></span>
</div>
</div>
</div>
<div className="database-login-brand-footer">LOCAL-FIRST · PRIVATE · SECURE</div>
</section>
<section className="database-login-workspace" aria-label="数据库连接">
<div className="database-login-panel">
<div className="database-login-tabs" role="tablist" aria-label="连接方式">
<button
type="button"
role="tab"
aria-selected={mode === 'automatic'}
className={mode === 'automatic' ? 'active' : ''}
onClick={() => onModeChange('automatic')}
>
</button>
<button
type="button"
role="tab"
aria-selected={mode === 'manual'}
className={mode === 'manual' ? 'active' : ''}
onClick={() => onModeChange('manual')}
>
</button>
</div>
{mode === 'automatic' ? (
<div className="database-login-auto" role="tabpanel">
<div className={`database-login-state-card ${statusKind}`}>
<div className="database-login-state-heading">
<span className="database-login-state-icon">
<LineIcon name="info" />
</span>
<div>
<strong>
{statusKind === 'error' ? '未能获取数据库密钥' : '已准备检测微信数据库'}
</strong>
<p>
{statusKind === 'error'
? status
: status || '请保持微信客户端正在运行,系统将尝试安全获取数据库密钥。'}
</p>
</div>
</div>
<dl className="database-login-diagnostics">
<div>
<dt></dt>
<dd>{isFetching ? '正在检测' : '等待检测'}</dd>
</div>
<div>
<dt>
<StoragePathHelp />
</dt>
<dd>
<span className="database-login-path-input-wrap">
<input
type="text"
value={dbRoot}
onChange={(event) => onDbRootChange(event.target.value)}
placeholder={defaultPath}
title={dbRoot || defaultPath}
aria-label="微信数据存储路径"
spellCheck={false}
onFocus={(event) => event.currentTarget.select()}
/>
<span className="database-login-path-value" role="status">
{dbRoot || defaultPath}
</span>
</span>
</dd>
</div>
<div>
<dt></dt>
<dd>{statusKind === 'error' ? '无法连接' : '准备连接'}</dd>
</div>
</dl>
</div>
<button
type="button"
className="database-login-primary"
onClick={onAutoGetKey}
disabled={isFetching}
>
{isFetching
? '正在获取密钥…'
: statusKind === 'error'
? '重新检测'
: '自动获取密钥'}
</button>
{showMacKeyFaq && (
<a href={macKeyFaqUrl} target="_blank" rel="noreferrer">
·
</a>
)}
</div>
) : (
<div className="database-login-manual" role="tabpanel">
<div className="database-login-field">
<label htmlFor="database-login-key"></label>
<div className="database-login-key-input">
<input
id="database-login-key"
type={showDbKey ? 'text' : 'password'}
value={dbKey}
onChange={(event) => onDbKeyChange(event.target.value)}
placeholder="输入或粘贴 64 位数据库密钥"
autoComplete="off"
spellCheck={false}
/>
<button
type="button"
onClick={onToggleDbKey}
title={showDbKey ? '隐藏密钥' : '显示密钥'}
>
<EyeIcon visible={showDbKey} />
</button>
</div>
<small></small>
</div>
{platform === 'win32' && (
<div className="database-login-field">
<label htmlFor="database-login-root">
<StoragePathHelp />
</label>
<input
id="database-login-root"
value={dbRoot}
onChange={(event) => onDbRootChange(event.target.value)}
placeholder={defaultPath}
title={dbRoot || defaultPath}
spellCheck={false}
onFocus={(event) => event.currentTarget.select()}
/>
</div>
)}
{status && <div className={`database-login-message ${statusKind}`}>{status}</div>}
<button
type="button"
className="database-login-primary"
onClick={onManualConnect}
disabled={!keyIsValid}
>
</button>
<button type="button" className="database-login-secondary" onClick={onPasteKey}>
</button>
</div>
)}
<div className="database-login-footer-actions">
<button type="button" onClick={onClearKey}>
</button>
<span>WechatExplorer</span>
</div>
</div>
</section>
</main>
)
}
@@ -1,4 +1,5 @@
import React from 'react'
import { useVirtualizer } from '@tanstack/react-virtual'
import { Contact, Message } from '../../../../shared/types'
import { MessageGroup } from './MessageGroup'
import { buildMessageGroups } from './messageGrouping'
@@ -29,6 +30,16 @@ export function MessageList({
onImageClick
}: MessageListProps): React.ReactElement {
const groups = React.useMemo(() => buildMessageGroups(messages), [messages])
// TanStack Virtual intentionally exposes mutable measurement methods.
// eslint-disable-next-line react-hooks/incompatible-library
const virtualizer = useVirtualizer({
count: groups.length,
getScrollElement: () => listRef.current,
estimateSize: () => 96,
getItemKey: (index) => groups[index]?.id || index,
overscan: 8
})
const virtualItems = virtualizer.getVirtualItems()
return (
<div className="message-list wechat-message-list" ref={listRef} onScroll={onScroll}>
@@ -40,16 +51,29 @@ export function MessageList({
</div>
</div>
)}
{groups.map((group) => (
<MessageGroup
key={group.id}
group={group}
contact={contact}
isGroupChat={isGroupChat}
showAvatar={showAvatar}
onImageClick={onImageClick}
/>
))}
<div className="virtual-message-list" style={{ height: `${virtualizer.getTotalSize()}px` }}>
{virtualItems.map((virtualItem) => {
const group = groups[virtualItem.index]
if (!group) return null
return (
<div
key={virtualItem.key}
ref={virtualizer.measureElement}
data-index={virtualItem.index}
className="virtual-message-group"
style={{ transform: `translateY(${virtualItem.start}px)` }}
>
<MessageGroup
group={group}
contact={contact}
isGroupChat={isGroupChat}
showAvatar={showAvatar}
onImageClick={onImageClick}
/>
</div>
)
})}
</div>
<div ref={bottomRef} />
</div>
)
@@ -45,6 +45,16 @@ function NavIcon({ page }: NavIconProps): React.ReactElement {
<path d="M5.5 15.5v3h13v-3" />
</svg>
)
case 'agent-hub':
return (
<svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
<rect x="5" y="7" width="14" height="11" rx="3" />
<path d="M12 4.5V7" />
<circle cx="9.5" cy="12" r="1" />
<circle cx="14.5" cy="12" r="1" />
<path d="M9.5 15h5" />
</svg>
)
case 'api':
return (
<svg viewBox="0 0 24 24" aria-hidden="true" focusable="false">
@@ -1,4 +1,4 @@
export type AppPage = 'archive' | 'search' | 'report' | 'export' | 'api' | 'settings'
export type AppPage = 'archive' | 'search' | 'report' | 'agent-hub' | 'export' | 'api' | 'settings'
export interface NavigationItem {
id: AppPage
@@ -9,6 +9,7 @@ export const PRIMARY_NAV_ITEMS: NavigationItem[] = [
{ id: 'archive', label: '档案' },
{ id: 'search', label: '检索' },
{ id: 'report', label: '日报' },
{ id: 'agent-hub', label: 'Agent' },
{ id: 'export', label: '导出' },
{ id: 'api', label: 'API' },
{ id: 'settings', label: '设置' }
@@ -3,6 +3,7 @@ import { Contact } from '../../../../shared/types'
import {
AiModelConfig,
RangeMessageState,
ReportMemberNamePreference,
ReportGenerationPhase,
ReportPaths
} from '../../hooks/useGroupReportGeneration'
@@ -11,7 +12,9 @@ import { MessageTypeSelector } from './MessageTypeSelector'
import { ModelSummary } from './ModelSummary'
import { ReportDensitySelector } from './ReportDensitySelector'
import { ReportRangeSelector } from './ReportRangeSelector'
import { ReportMemberNameSelector } from './ReportMemberNameSelector'
import { ReportSectionSelector } from './ReportSectionSelector'
import { ReportTemplateId, ReportTemplateSelector } from './ReportTemplateSelector'
interface AiReportWorkspaceProps {
sourceContact: Contact | null
@@ -36,6 +39,12 @@ interface AiReportWorkspaceProps {
onRevealReport: () => Promise<{ success: boolean; error?: string }>
onViewResult: () => void
hasReportResult: boolean
templateId: ReportTemplateId
onTemplateIdChange: (value: ReportTemplateId) => void
memberNamePreference: ReportMemberNamePreference
onMemberNamePreferenceChange: (value: ReportMemberNamePreference) => void
reportTimeoutSeconds: number
onReportTimeoutSecondsChange: (value: number) => void
}
const rangeLabel = (range: SummaryDateRange): string => {
@@ -76,7 +85,13 @@ export function AiReportWorkspace({
onCopyImage,
onRevealReport,
onViewResult,
hasReportResult
hasReportResult,
templateId,
onTemplateIdChange,
memberNamePreference,
onMemberNamePreferenceChange,
reportTimeoutSeconds,
onReportTimeoutSecondsChange
}: AiReportWorkspaceProps): React.ReactElement {
const [actionStatus, setActionStatus] = useState('')
const groupName = sourceContact?.m_nsNickName || sourceContact?.m_nsUsrName || '未选择群聊'
@@ -144,7 +159,35 @@ export function AiReportWorkspace({
/>
<ReportSectionSelector />
<ReportDensitySelector />
<ReportTemplateSelector
value={templateId}
onChange={onTemplateIdChange}
disabled={configDisabled}
/>
<ReportMemberNameSelector
value={memberNamePreference}
onChange={onMemberNamePreferenceChange}
disabled={configDisabled}
/>
<ModelSummary config={modelConfig} onOpenSettings={onOpenModelSettings} />
<section className="report-config-section report-timeout-section">
<div>
<h3></h3>
<p></p>
</div>
<label>
<input
type="number"
min={30}
max={1800}
step={30}
value={reportTimeoutSeconds}
disabled={configDisabled}
onChange={(event) => onReportTimeoutSecondsChange(Number(event.target.value))}
/>
<span></span>
</label>
</section>
<section className="report-privacy-note">
<h3></h3>
<p></p>
@@ -0,0 +1,61 @@
import React from 'react'
import { ReportMemberNamePreference } from '../../hooks/useGroupReportGeneration'
const OPTIONS: {
value: ReportMemberNamePreference
label: string
description: string
}[] = [
{
value: 'groupNickname',
label: '群昵称',
description: '优先使用成员在当前群设置的昵称。'
},
{
value: 'wechatNickname',
label: '微信昵称',
description: '优先使用对方公开的微信昵称。'
},
{
value: 'remark',
label: '通讯录备注',
description: '优先使用你为对方设置的备注。'
}
]
export function ReportMemberNameSelector({
value,
disabled,
onChange
}: {
value: ReportMemberNamePreference
disabled?: boolean
onChange: (value: ReportMemberNamePreference) => void
}): React.ReactElement {
return (
<section className="report-section">
<h3></h3>
<p className="report-section-desc">使</p>
<div className="report-template-list">
{OPTIONS.map((option) => (
<label
className={`report-template-item ${value === option.value ? 'active' : ''} ${disabled ? 'disabled' : ''}`}
key={option.value}
>
<input
type="radio"
name="report-member-name"
checked={value === option.value}
disabled={disabled}
onChange={() => onChange(option.value)}
/>
<div className="report-template-body">
<div className="report-template-title">{option.label}</div>
<div className="report-template-tagline">{option.description}</div>
</div>
</label>
))}
</div>
</section>
)
}
@@ -1,4 +1,4 @@
import React from 'react'
import React, { useEffect, useState } from 'react'
import { ReportGenerationPhase } from '../../hooks/useGroupReportGeneration'
interface ReportTaskStatusPanelProps {
@@ -27,6 +27,14 @@ export function ReportTaskStatusPanel({
}: ReportTaskStatusPanelProps): React.ReactElement {
const activeIndex = phaseIndex(phase)
const completedAll = phase === 'success'
const [logPath, setLogPath] = useState('')
useEffect(() => {
void window.api
.getAppLogPath()
.then(setLogPath)
.catch(() => undefined)
}, [])
return (
<aside className="report-task-panel">
@@ -70,6 +78,10 @@ export function ReportTaskStatusPanel({
<button type="button" onClick={onRetry}>
</button>
<button type="button" onClick={() => void window.api.revealAppLog()}>
</button>
{logPath && <small className="report-task-log-path">{logPath}</small>}
</div>
)}
{phase === 'success' && (
@@ -0,0 +1,139 @@
import React, { useState } from 'react'
export type ReportTemplateId = 'v1' | 'v2'
interface TemplateMeta {
id: ReportTemplateId
label: string
tagline: string
preview: { title: string; sections: string[] }
}
const TEMPLATES: TemplateMeta[] = [
{
id: 'v1',
label: '模板1 · 经典日报',
tagline: '实用信息 / 重要消息 / 金句 / 问答 / 数据可视化',
preview: {
title: '经典日报',
sections: [
'今日讨论热点',
'AI 识别的图片精选',
'实用信息与资源',
'重要消息汇总',
'有趣对话或金句',
'问题与解答',
'群内数据可视化',
'词云/关键词'
]
}
},
{
id: 'v2',
label: '模板2 · 支持图片板块',
tagline: '包含热点图片与上下文;需要模型服务商支持图片识别',
preview: {
title: '支持图片板块',
sections: [
'今日讨论热点',
'重要消息',
'待办事项和未解决问题',
'今日名场面',
'今日群数据',
'关键词',
'实用信息与资源',
'问题与解答',
'今日剧情时间线',
'群聊反转现场',
'AI 识别的图片精选',
'今日群相册',
'语音之最',
'语音时长榜',
'今日临时人设',
'话题参与链路'
]
}
}
]
interface ReportTemplateSelectorProps {
value: ReportTemplateId
onChange: (value: ReportTemplateId) => void
disabled?: boolean
}
export const ReportTemplateSelector: React.FC<ReportTemplateSelectorProps> = ({
value,
onChange,
disabled
}) => {
const [previewing, setPreviewing] = useState<TemplateMeta | null>(null)
return (
<section className="report-section">
<h3></h3>
<p className="report-section-desc">
2 AI
</p>
<div className="report-template-list">
{TEMPLATES.map((tpl) => {
const active = value === tpl.id
return (
<div
key={tpl.id}
className={`report-template-item ${active ? 'active' : ''} ${disabled ? 'disabled' : ''}`}
>
<label>
<input
type="radio"
name="report-template"
value={tpl.id}
checked={active}
disabled={disabled}
onChange={() => onChange(tpl.id)}
/>
<div className="report-template-body">
<div className="report-template-title">{tpl.label}</div>
<div className="report-template-tagline">{tpl.tagline}</div>
</div>
</label>
<button
type="button"
className="report-template-preview-btn"
onClick={() => setPreviewing(tpl)}
>
</button>
</div>
)
})}
</div>
{previewing && (
<div className="report-template-preview-mask" onClick={() => setPreviewing(null)}>
<div className="report-template-preview-card" onClick={(e) => e.stopPropagation()}>
<h4>{previewing.preview.title}</h4>
<p className="muted">{previewing.tagline}</p>
<div className="report-template-preview-frame">
<div className="fake-card fake-hero">
<div className="fake-title"> · </div>
<div className="fake-sub">2026-xx-xx · </div>
</div>
{previewing.preview.sections.map((s) => (
<div className="fake-card fake-section" key={s}>
<div className="fake-bar" />
<div className="fake-section-title">{s}</div>
</div>
))}
</div>
<button
type="button"
className="report-template-preview-close"
onClick={() => setPreviewing(null)}
>
</button>
</div>
</div>
)}
</section>
)
}
@@ -37,10 +37,7 @@ export function ReportViewer({
return () => window.cancelAnimationFrame(frame)
}, [report?.id])
const title = useMemo(
() => (report ? `${report.contactName} 群聊日报` : 'AI 日报'),
[report]
)
const title = useMemo(() => (report ? `${report.contactName} 群聊日报` : 'AI 日报'), [report])
const fitWidth = (): void => {
const viewport = viewportRef.current
@@ -108,10 +105,16 @@ export function ReportViewer({
}}
onLoad={(event) => {
const image = event.currentTarget
setNaturalSize({
const nextSize = {
width: image.naturalWidth,
height: image.naturalHeight
})
}
setNaturalSize(nextSize)
const viewport = viewportRef.current
if (viewport && nextSize.width > viewport.clientWidth - 48) {
const fittedZoom = Math.max(0.25, (viewport.clientWidth - 48) / nextSize.width)
setZoom(Number(fittedZoom.toFixed(2)))
}
}}
onError={() => {
setImageError('日报图片加载失败')
@@ -0,0 +1,280 @@
import React from 'react'
import type {
AgentHubLogEntry,
AgentHubLogSource,
AgentHubStatus,
WechatConnectorStatus
} from '../../../../shared/agent-hub'
const STATUS_LABELS: Record<WechatConnectorStatus, string> = {
checking: '正在检查',
disconnected: '未连接',
starting: '正在连接',
waiting_scan: '等待扫码',
scanned: '已扫码,等待手机确认',
online: '在线',
error: '连接异常'
}
const LOG_SOURCE_LABELS: Record<AgentHubLogSource, string> = {
system: '系统',
'agent-hub': 'Agent Hub',
'wechat-connector': '微信连接器'
}
export function AgentHubWorkspace(): React.ReactElement {
const [status, setStatus] = React.useState<AgentHubStatus>({
hub: 'offline',
connector: 'checking',
updatedAt: Date.now()
})
const [busy, setBusy] = React.useState(false)
const [logs, setLogs] = React.useState<AgentHubLogEntry[]>([])
const [logSource, setLogSource] = React.useState<'all' | AgentHubLogSource>('all')
const logBodyRef = React.useRef<HTMLDivElement>(null)
React.useEffect(() => {
let mounted = true
void window.api.getAgentHubStatus().then((next) => {
if (mounted) setStatus(next)
})
void window.api.getAgentHubLogs().then((entries) => {
if (mounted) setLogs(entries)
})
const unsubscribe = window.api.onAgentHubStatus((next) => {
if (mounted) setStatus(next)
})
const unsubscribeLog = window.api.onAgentHubLog((entry) => {
if (mounted) setLogs((current) => [...current.slice(-799), entry])
})
return () => {
mounted = false
unsubscribe()
unsubscribeLog()
}
}, [])
const visibleLogs = logs.filter((entry) => logSource === 'all' || entry.source === logSource)
React.useEffect(() => {
const body = logBodyRef.current
if (body) body.scrollTop = body.scrollHeight
}, [visibleLogs.length])
const copyLogs = async (): Promise<void> => {
const text = visibleLogs
.map(
(entry) =>
`${new Date(entry.timestamp).toLocaleTimeString()} [${LOG_SOURCE_LABELS[entry.source]}] [${entry.level}] ${entry.message}`
)
.join('\n')
await window.api.copyText(text)
}
const clearLogs = async (): Promise<void> => {
await window.api.clearAgentHubLogs()
setLogs([])
}
const runAction = async (
action: () => Promise<{ status: AgentHubStatus; error?: string }>
): Promise<void> => {
setBusy(true)
try {
const result = await action()
setStatus(result.status)
} finally {
setBusy(false)
}
}
const isLoginFlow = ['starting', 'waiting_scan', 'scanned'].includes(status.connector)
const showQRCode = Boolean(status.qrCodeDataUrl) && status.connector !== 'online'
return (
<div className="agent-hub-workspace">
<header className="agent-hub-header">
<div>
<div className="agent-hub-eyebrow">WechatExplorer</div>
<h1>Agent Hub</h1>
<p> AI </p>
</div>
<span className={`agent-hub-runtime ${status.hub}`}>
Agent Hub {status.hub === 'online' ? '运行中' : '未运行'}
</span>
</header>
<div className="agent-hub-grid">
<section className="agent-hub-card agent-hub-login-card">
<div className="agent-hub-card-heading">
<div>
<span className="agent-hub-card-kicker"></span>
<h2></h2>
</div>
<span className={`agent-hub-status ${status.connector}`}>
<i aria-hidden />
{STATUS_LABELS[status.connector]}
</span>
</div>
{showQRCode ? (
<div className="agent-hub-qr-panel">
<div className="agent-hub-qr-frame">
<img src={status.qrCodeDataUrl} alt="微信机器人登录二维码" />
</div>
<div className="agent-hub-qr-copy">
<h3>
{status.connector === 'scanned' ? '请在手机上确认登录' : '使用微信扫描二维码'}
</h3>
<p></p>
<button
type="button"
className="agent-hub-button secondary"
disabled={busy}
onClick={() => void runAction(() => window.api.cancelAgentHubLogin())}
>
</button>
</div>
</div>
) : status.connector === 'online' ? (
<div className="agent-hub-connected">
<div className="agent-hub-connected-icon" aria-hidden>
</div>
<div>
<h3></h3>
<p>{status.accountId || status.wechatUserId || '登录凭据已就绪'}</p>
</div>
</div>
) : (
<div className="agent-hub-empty-login">
<div className="agent-hub-phone" aria-hidden>
<span />
</div>
<h3>{status.connector === 'error' ? '连接遇到问题' : '尚未连接微信机器人'}</h3>
<p>{status.error || '扫码登录后,即可从微信向 Agent Hub 提问。'}</p>
</div>
)}
<div className="agent-hub-actions">
{status.connector === 'online' ? (
<>
<button
type="button"
className="agent-hub-button secondary"
disabled={busy}
onClick={() => void runAction(() => window.api.startAgentHubLogin())}
>
</button>
<button
type="button"
className="agent-hub-button danger"
disabled={busy}
onClick={() => void runAction(() => window.api.disconnectAgentHub())}
>
</button>
</>
) : !isLoginFlow ? (
<button
type="button"
className="agent-hub-button primary"
disabled={busy || status.hub !== 'online'}
onClick={() => void runAction(() => window.api.startAgentHubLogin())}
>
{busy ? '正在获取二维码…' : '扫码登录微信机器人'}
</button>
) : null}
</div>
</section>
<aside className="agent-hub-card agent-hub-capability-card">
<span className="agent-hub-card-kicker"></span>
<h2></h2>
<p> Agent Hub WechatExplorer</p>
<div className="agent-hub-example">
<span></span>
<strong> 5 </strong>
<strong>xx聊了些什么</strong>
<strong></strong>
</div>
<ul>
<li>
<i />
HTTP
</li>
<li>
<i />
</li>
<li>
<i />
</li>
<li>
<i />
使 AI
</li>
<li>
<i className={status.dataApi === 'online' ? '' : 'offline'} />
API{status.dataApi === 'online' ? '已连接' : '未连接'}
</li>
<li>
<i className={status.databaseReady ? '' : 'offline'} />
{status.databaseReady ? '可查询' : '未就绪'}
</li>
</ul>
</aside>
</div>
<section className="agent-hub-card agent-hub-log-card">
<div className="agent-hub-log-heading">
<div>
<span className="agent-hub-card-kicker"></span>
<h2></h2>
</div>
<div className="agent-hub-log-actions">
<select
aria-label="筛选日志来源"
value={logSource}
onChange={(event) => setLogSource(event.target.value as 'all' | AgentHubLogSource)}
>
<option value="all"></option>
<option value="system"></option>
<option value="agent-hub">Agent Hub</option>
<option value="wechat-connector"></option>
</select>
<button
type="button"
onClick={() => void copyLogs()}
disabled={visibleLogs.length === 0}
>
</button>
<button type="button" onClick={() => void clearLogs()}>
</button>
</div>
</div>
<div className="agent-hub-log-body" ref={logBodyRef}>
{visibleLogs.length === 0 ? (
<div className="agent-hub-log-empty">
</div>
) : (
visibleLogs.map((entry) => (
<div className={`agent-hub-log-line ${entry.level}`} key={entry.id}>
<time>{new Date(entry.timestamp).toLocaleTimeString()}</time>
<span className={`source ${entry.source}`}>{LOG_SOURCE_LABELS[entry.source]}</span>
<code>{entry.message}</code>
</div>
))
)}
</div>
<p className="agent-hub-log-note"> Token </p>
</section>
</div>
)
}
@@ -40,6 +40,17 @@ export function ApiRequestTester({
void onCopyCurl(command)
}
const update = (key: string, value: string): void => onParams({ ...params, [key]: value })
const selectTestImage = async (): Promise<void> => {
const result = await window.api.selectAgentHubTestImage()
if (result.canceled || !result.path) return
let payload: Record<string, unknown> = {}
try {
payload = JSON.parse(body) as Record<string, unknown>
} catch {
// Replace an invalid draft with a valid send-test request.
}
onBody(JSON.stringify({ ...payload, media_url: result.path }, null, 2))
}
return (
<section className="api-request-tester" id="api-request-tester">
<div className="api-section-heading">
@@ -77,6 +88,14 @@ export function ApiRequestTester({
/>
</label>
)}
{endpoint.id === 'agent-send' && (
<div className="api-upload-test-row">
<button type="button" onClick={() => void selectTestImage()}>
</button>
<span></span>
</div>
)}
<div className="api-tester-actions">
<button type="button" onClick={onClear}>
@@ -1,7 +1,11 @@
import { useCallback, useEffect, useReducer } from 'react'
import type { Contact } from '../../../../../shared/types'
import { findEndpoint } from '../model/apiEndpoints'
import { REPORT_REQUEST_PRESET } from '../model/requestPresets'
import {
AGENT_GROUP_REPORT_PRESET,
AGENT_SEND_PRESET,
REPORT_REQUEST_PRESET
} from '../model/requestPresets'
import { type AgentInstallTarget, type SkillInstallSource } from '../model/skillDistribution'
import type {
ApiResponse,
@@ -66,14 +70,23 @@ function reducer(state: State, action: Action): State {
switch (action.type) {
case 'loaded':
return { ...state, settings: action.settings, service: action.service, skill: action.skill }
case 'endpoint':
case 'endpoint': {
const preset =
action.endpointId === 'report'
? REPORT_REQUEST_PRESET
: action.endpointId === 'agent-group-report'
? AGENT_GROUP_REPORT_PRESET
: action.endpointId === 'agent-send'
? AGENT_SEND_PRESET
: state.body
return {
...state,
endpointId: action.endpointId,
params: action.talker && action.endpointId === 'chatlog' ? { talker: action.talker } : {},
body: action.endpointId === 'report' ? state.body || REPORT_REQUEST_PRESET : state.body,
body: preset,
error: ''
}
}
case 'params':
return { ...state, params: action.params }
case 'body':
@@ -62,6 +62,20 @@ export const API_ENDPOINTS: ApiEndpoint[] = [
name: '群聊日报导出',
description: '通过内置模板导出群聊日报 HTML 与 PNG。',
body: true
}),
endpoint('agent-status', {
name: 'Agent Hub 状态',
description: '检查 Agent Hub、微信连接器、本地数据 API 和数据库状态。'
}),
endpoint('agent-group-report', {
name: '生成群聊总结图片',
description: '读取指定群聊并生成今天、昨天或近 7 天的总结长图。',
body: true
}),
endpoint('agent-send', {
name: '微信发送测试',
description: '测试文字或本地图片发送,并区分凭证失效、连接器离线和发送成功。',
body: true
})
]
@@ -29,3 +29,15 @@ export const REPORT_REQUEST_PRESET = JSON.stringify(
null,
2
)
export const AGENT_GROUP_REPORT_PRESET = JSON.stringify(
{ group: '技术交流', range: 'today' },
null,
2
)
export const AGENT_SEND_PRESET = JSON.stringify(
{ to: '', text: 'WechatExplorer Agent Hub 发送测试' },
null,
2
)
@@ -174,13 +174,31 @@ export function AIProviderEditor({
<input
type="checkbox"
checked={model.capabilities.vision}
onChange={(event) => {
const vision = event.target.checked
// OCR 是 vision 的派生能力:勾 vision 时自动带 OCR
patchModel(index, {
capabilities: {
...model.capabilities,
vision,
ocr: vision ? true : model.capabilities.ocr
}
})
}}
/>
</label>
<label title="图片文字识别,跟随图片理解能力">
<input
type="checkbox"
checked={model.capabilities.ocr}
onChange={(event) =>
patchModel(index, {
capabilities: { ...model.capabilities, vision: event.target.checked }
capabilities: { ...model.capabilities, ocr: event.target.checked }
})
}
/>
</label>
<label>
<input
@@ -296,5 +314,5 @@ export function AIProviderEditor({
}
function emptyModel(): AIModelDefinition {
return { name: '', id: '', capabilities: { chat: true, vision: false, longContext: false } }
return { name: '', id: '', capabilities: { chat: true, vision: false, ocr: false, longContext: false } }
}
@@ -88,7 +88,7 @@ export function createProviderFromPreset(presetId = 'deepseek'): AIProviderConfi
{
name: preset.model || '默认模型',
id: preset.model,
capabilities: { chat: true, vision: false, longContext: false }
capabilities: { chat: true, vision: false, ocr: false, longContext: false }
}
],
defaultModel: preset.model,
@@ -191,7 +191,9 @@ export function useDatabaseKeyController({
])
const returnToLogin = useCallback(async (): Promise<void> => {
const result = await window.api.disconnectDb()
// macOS WCDB 的 close 会关闭进程级原生运行时,返回登录时只退出 UI 连接态。
// 用户再次点击连接后由 db:init 复用已验证的本机连接。
const result = await window.api.disconnectDb({ closeNative: false })
if (!result.success) {
onNotice(result.error || '断开数据库连接失败')
return
@@ -1,3 +1,4 @@
import { useEffect, useState } from 'react'
import { AccountOverview } from '../account-database/AccountOverview'
import { ConnectionHealthSection } from '../account-database/ConnectionHealthSection'
import { LocalPrivacyNotice } from '../account-database/LocalPrivacyNotice'
@@ -25,6 +26,26 @@ export function AccountDatabasePage({
onNotice: (message: string) => void
}): React.ReactElement {
const controller = useAccountDatabaseController({ dbKey, dbReady, selfInfo, onNotice })
const [autoLogin, setAutoLogin] = useState(false)
useEffect(() => {
let active = true
void window.api.getSettings().then((result) => {
if (active) setAutoLogin(result.settings.autoLogin)
})
return () => {
active = false
}
}, [])
const changeAutoLogin = async (checked: boolean): Promise<void> => {
const result = await window.api.setSettings({
autoLogin: checked,
autoLoginPreferenceSet: true
})
setAutoLogin(result.settings.autoLogin)
onNotice(checked ? '已开启启动时自动连接' : '已关闭启动时自动连接')
}
return (
<div className="settings-page">
<header className="settings-page-header">
@@ -58,6 +79,20 @@ export function AccountDatabasePage({
: undefined
}
/>
<h2 className="settings-section-heading"></h2>
<section className="settings-card settings-auto-login-card">
<label>
<span>
<b></b>
<small>使</small>
</span>
<input
type="checkbox"
checked={autoLogin}
onChange={(event) => void changeAutoLogin(event.target.checked)}
/>
</label>
</section>
</div>
</div>
</div>
@@ -3,6 +3,7 @@ import { Contact, Message } from '../../../shared/types'
import {
buildGroupReportInput,
getSummaryDateRange,
GROUP_REPORT_JSON_REPAIR_SYSTEM_PROMPT,
GROUP_REPORT_SYSTEM_PROMPT,
isInternalName,
parseGroupDailyReport,
@@ -10,8 +11,10 @@ import {
SummaryDateRange,
SummaryMessageType
} from '../utils/group-report'
import { ReportTemplateId } from '../components/reports/ReportTemplateSelector'
const REPORT_STEP_TIMEOUT_MS = 90_000
const REPORT_MODEL_TIMEOUT_BUFFER_MS = 10_000
export type ReportGenerationPhase =
| 'idle'
@@ -29,8 +32,11 @@ export interface AiModelConfig {
modelName: string
configured: boolean
status: 'untested' | 'connected' | 'error'
timeoutMs?: number
}
export type ReportMemberNamePreference = 'groupNickname' | 'wechatNickname' | 'remark'
export interface ReportPaths {
htmlPath: string
pngPath: string
@@ -84,10 +90,14 @@ export interface RangeMessageState {
error: string
}
const withTimeout = async <T>(promise: Promise<T>, label: string): Promise<T> => {
const withTimeout = async <T>(
promise: Promise<T>,
label: string,
timeoutMs = REPORT_STEP_TIMEOUT_MS
): Promise<T> => {
let timer: number | undefined
const timeout = new Promise<never>((_, reject) => {
timer = window.setTimeout(() => reject(new Error(`${label} 超时`)), REPORT_STEP_TIMEOUT_MS)
timer = window.setTimeout(() => reject(new Error(`${label} 超时`)), timeoutMs)
})
try {
return await Promise.race([promise, timeout])
@@ -99,6 +109,31 @@ const withTimeout = async <T>(promise: Promise<T>, label: string): Promise<T> =>
const errorMessage = (error: unknown): string =>
error instanceof Error ? error.message : String(error)
const writeReportLog = (
level: 'info' | 'warn' | 'error',
message: string,
details?: Record<string, unknown>
): void => {
void window.api
.writeAppLog({ level, scope: 'group-report', message, details })
.catch(() => undefined)
}
const jsonErrorContext = (raw: string, error: unknown): Record<string, unknown> => {
const message = errorMessage(error)
const position = Number(/\bposition\s+(\d+)/i.exec(message)?.[1])
const safePosition = Number.isFinite(position) ? Math.max(0, Math.min(raw.length, position)) : 0
return {
error: message,
outputLength: raw.length,
position: Number.isFinite(position) ? position : undefined,
context:
raw.length && Number.isFinite(position)
? raw.slice(Math.max(0, safePosition - 300), Math.min(raw.length, safePosition + 300))
: raw.slice(0, 600)
}
}
const isGroupContact = (contact: Contact | null): boolean =>
Boolean(contact?.type === 'group' || contact?.m_nsUsrName?.endsWith('@chatroom'))
@@ -127,14 +162,43 @@ const estimateTokenUsage = (
}
}
const applyGroupMemberNames = async (contact: Contact, messages: Message[]): Promise<Message[]> => {
let memberMap = new Map<string, { nickname: string; avatar: string }>()
const mergeTokenUsage = (
first: NonNullable<ReportGenerationMetadata['tokenUsage']>,
second: NonNullable<ReportGenerationMetadata['tokenUsage']>
): NonNullable<ReportGenerationMetadata['tokenUsage']> => ({
input: (first.input || 0) + (second.input || 0),
output: (first.output || 0) + (second.output || 0),
total: (first.total || 0) + (second.total || 0),
estimated: Boolean(first.estimated || second.estimated)
})
const applyGroupMemberNames = async (
contact: Contact,
messages: Message[],
preference: ReportMemberNamePreference
): Promise<Message[]> => {
let memberMap = new Map<
string,
{
nickname: string
groupNickname: string
wechatNickname: string
remark: string
avatar: string
}
>()
try {
const snapshot = await withTimeout(window.api.getGroupSnapshot(contact.md5), '读取群成员')
memberMap = new Map(
(snapshot?.members || []).map((member) => [
member.wxid,
{ nickname: member.nickname || member.wxid, avatar: member.avatar || '' }
{
nickname: member.nickname || member.wxid,
groupNickname: member.groupNickname || '',
wechatNickname: member.wechatNickname || '',
remark: member.remark || '',
avatar: member.avatar || ''
}
])
)
} catch (error) {
@@ -143,11 +207,22 @@ const applyGroupMemberNames = async (contact: Contact, messages: Message[]): Pro
if (!memberMap.size) return messages
return messages.map((message) => {
if (!isInternalName(message.name)) return message
const senderId = String(message.senderId || message.name || '')
const member = memberMap.get(senderId)
if (!member?.nickname || isInternalName(member.nickname)) return message
return { ...message, name: member.nickname, img: message.img || member.avatar }
if (!member) return message
const preferredNames: Record<ReportMemberNamePreference, string[]> = {
// Keep the three modes semantically distinct. `member.nickname` may
// already be a contact remark, so it must not leak into the first two.
groupNickname: [member.groupNickname, member.wechatNickname],
wechatNickname: [member.wechatNickname, member.groupNickname],
remark: [member.remark, member.groupNickname, member.wechatNickname, member.nickname]
}
const name = preferredNames[preference].find((value) => value && !isInternalName(value))
return {
...message,
name: name || (preference === 'remark' ? message.name : ''),
img: message.img || member.avatar
}
})
}
@@ -174,6 +249,12 @@ export function useGroupReportGeneration({
closeResult: () => void
copyImage: () => Promise<{ success: boolean; error?: string }>
revealReport: () => Promise<{ success: boolean; error?: string }>
templateId: ReportTemplateId
setTemplateId: (value: ReportTemplateId) => void
memberNamePreference: ReportMemberNamePreference
setMemberNamePreference: (value: ReportMemberNamePreference) => void
reportTimeoutSeconds: number
setReportTimeoutSeconds: (value: number) => void
} {
const [phase, setPhase] = useState<ReportGenerationPhase>('idle')
const [error, setError] = useState('')
@@ -181,11 +262,32 @@ export function useGroupReportGeneration({
const [rangeState, setRangeState] = useState<RangeMessageState>({ status: 'idle', error: '' })
const [generatedImage, setGeneratedImage] = useState<string | null>(null)
const [reportPaths, setReportPaths] = useState<ReportPaths | null>(null)
const [templateId, setTemplateId] = useState<ReportTemplateId>('v1')
const [memberNamePreference, setMemberNamePreferenceState] = useState<ReportMemberNamePreference>(
() => {
const saved = localStorage.getItem('group_report_member_name_preference')
return saved === 'wechatNickname' || saved === 'remark' ? saved : 'groupNickname'
}
)
const [reportTimeoutSeconds, setReportTimeoutSecondsState] = useState<number>(() => {
const saved = Number(localStorage.getItem('group_report_timeout_seconds'))
return Number.isFinite(saved) && saved >= 30 ? saved : 300
})
const [generationMetadata, setGenerationMetadata] = useState<ReportGenerationMetadata>({
generationLogs: []
})
const rangeRequestIdRef = useRef(0)
const setMemberNamePreference = useCallback((value: ReportMemberNamePreference): void => {
localStorage.setItem('group_report_member_name_preference', value)
setMemberNamePreferenceState(value)
}, [])
const setReportTimeoutSeconds = useCallback((value: number): void => {
const normalized = Math.max(30, Math.min(1800, Math.round(Number(value) || 300)))
localStorage.setItem('group_report_timeout_seconds', String(normalized))
setReportTimeoutSecondsState(normalized)
}, [])
const isGenerating =
phase === 'loadingMessages' ||
phase === 'preparingInput' ||
@@ -292,6 +394,7 @@ export function useGroupReportGeneration({
}
const startGenerateTime = Date.now()
let failedAt = '初始化'
const logs: ReportGenerationLog[] = []
const pushLog = (log: ReportGenerationLog): void => {
logs.push(log)
@@ -322,21 +425,40 @@ export function useGroupReportGeneration({
modelName: modelConfig.model,
generationLogs: []
})
writeReportLog('info', '开始生成群聊日报', {
groupName: sourceContact.m_nsNickName || sourceContact.m_nsUsrName,
dateRange: summaryDateRange,
selectedMessageTypes: summaryMessageTypes,
providerName: modelConfig.providerName,
model: modelConfig.model,
templateId
})
try {
failedAt = '读取聊天记录'
const sourceMessages = await trackStep('读取聊天记录', () => loadRangeMessages(true))
const selectedTypes = selectedMessageTypeSet(summaryMessageTypes)
const filteredMessages = sourceMessages.filter((message) => selectedTypes.has(message.type))
if (!filteredMessages.length) throw new Error('当前范围没有可总结消息')
writeReportLog('info', '聊天记录读取完成', {
sourceMessageCount: sourceMessages.length,
filteredMessageCount: filteredMessages.length
})
setPhase('preparingInput')
failedAt = '整理日报输入'
const input = await trackStep('整理输入', async () => {
const namedReportMessages = await applyGroupMemberNames(sourceContact, filteredMessages)
return buildGroupReportInput(namedReportMessages, sourceContact, true)
const namedReportMessages = await applyGroupMemberNames(
sourceContact,
filteredMessages,
memberNamePreference
)
return buildGroupReportInput(namedReportMessages, sourceContact, true, 'full')
})
setPhase('requestingModel')
failedAt = '调用模型生成内容'
const aiMessages = [
{ role: 'system', content: GROUP_REPORT_SYSTEM_PROMPT },
{ role: 'user', content: input.prompt }
@@ -345,23 +467,92 @@ export function useGroupReportGeneration({
withTimeout(
window.api.aiChat(aiMessages, {
providerId: modelConfig.providerId,
modelId: modelConfig.model
modelId: modelConfig.model,
timeoutMs: reportTimeoutSeconds * 1000
}),
'AI 生成日报'
'AI 生成日报',
reportTimeoutSeconds * 1000 + REPORT_MODEL_TIMEOUT_BUFFER_MS
)
)
if (!result.success || !result.data) throw new Error(result.error || 'AI 请求失败')
writeReportLog('info', '模型响应完成', {
outputLength: result.data.length,
usage: result.usage
})
const tokenUsage =
let tokenUsage =
result.usage && result.usage.total
? result.usage
: estimateTokenUsage(aiMessages, result.data)
const report = parseGroupDailyReport(result.data, input.topSpeakers, input.activeTimeline)
let report: ReturnType<typeof parseGroupDailyReport>
try {
report = parseGroupDailyReport(
result.data,
input.topSpeakers,
input.activeTimeline,
input.voiceLeaderboard || [],
input.metadata,
input.media
)
} catch (parseError) {
writeReportLog('warn', '本地修复日报 JSON 失败,尝试由模型纠正', {
...jsonErrorContext(result.data, parseError),
retry: 1
})
const repairMessages = [
{
role: 'system',
content: GROUP_REPORT_JSON_REPAIR_SYSTEM_PROMPT
},
{ role: 'user', content: result.data }
]
const repairResult = await trackStep('AI 修复 JSON', () =>
withTimeout(
window.api.aiChat(repairMessages, {
providerId: modelConfig.providerId,
modelId: modelConfig.model,
timeoutMs: reportTimeoutSeconds * 1000
}),
'AI 修复日报 JSON',
reportTimeoutSeconds * 1000 + REPORT_MODEL_TIMEOUT_BUFFER_MS
)
)
if (!repairResult.success || !repairResult.data) {
throw new Error(repairResult.error || 'AI 修复日报 JSON 失败', { cause: parseError })
}
const repairUsage =
repairResult.usage && repairResult.usage.total
? repairResult.usage
: estimateTokenUsage(repairMessages, repairResult.data)
tokenUsage = mergeTokenUsage(tokenUsage, repairUsage)
try {
report = parseGroupDailyReport(
repairResult.data,
input.topSpeakers,
input.activeTimeline,
input.voiceLeaderboard || [],
input.metadata,
input.media
)
writeReportLog('info', '模型已纠正日报 JSON', {
retry: 1,
outputLength: repairResult.data.length
})
} catch (retryParseError) {
writeReportLog(
'error',
'日报 JSON 重试后仍解析失败',
jsonErrorContext(repairResult.data, retryParseError)
)
throw retryParseError
}
}
setPhase('exportingReport')
failedAt = '导出 HTML 与 PNG'
const exported = await withTimeout(
window.api.exportGroupReport({ report, metadata: input.metadata }),
window.api.exportGroupReport({ report, metadata: input.metadata, templateId }),
'日报图片导出'
)
if (!exported.success || !exported.imageDataUrl || !exported.htmlPath || !exported.pngPath) {
@@ -395,11 +586,32 @@ export function useGroupReportGeneration({
generationLogs: [...logs]
})
setPhase('success')
writeReportLog('info', '群聊日报生成成功', {
durationMs: Date.now() - startGenerateTime,
htmlPath: exported.htmlPath,
pngPath: exported.pngPath
})
} catch (generateError) {
setError(errorMessage(generateError))
const message = errorMessage(generateError)
writeReportLog('error', '群聊日报生成失败', {
error: message,
failedAt,
durationMs: Date.now() - startGenerateTime
})
setError(message)
setPhase('error')
}
}, [isGenerating, loadRangeMessages, modelConfig, sourceContact, summaryMessageTypes])
}, [
isGenerating,
loadRangeMessages,
memberNamePreference,
modelConfig,
reportTimeoutSeconds,
sourceContact,
summaryDateRange,
summaryMessageTypes,
templateId
])
const clearError = useCallback((): void => {
setError('')
@@ -437,6 +649,12 @@ export function useGroupReportGeneration({
clearError,
closeResult,
copyImage,
revealReport
revealReport,
templateId,
setTemplateId,
memberNamePreference,
setMemberNamePreference,
reportTimeoutSeconds,
setReportTimeoutSeconds
}
}
+31
View File
@@ -4,6 +4,37 @@ import App from './App'
import './styles/tokens.css'
import './assets/main.css'
window.addEventListener('error', (event) => {
void window.api
.writeAppLog({
level: 'error',
scope: 'renderer',
message: event.message || 'Renderer 未捕获错误',
details: {
filename: event.filename,
line: event.lineno,
column: event.colno,
stack: event.error instanceof Error ? event.error.stack : undefined
}
})
.catch(() => undefined)
})
window.addEventListener('unhandledrejection', (event) => {
const reason = event.reason
void window.api
.writeAppLog({
level: 'error',
scope: 'renderer',
message: reason instanceof Error ? reason.message : 'Renderer Promise 未处理拒绝',
details: {
stack: reason instanceof Error ? reason.stack : undefined,
reason: reason instanceof Error ? undefined : String(reason)
}
})
.catch(() => undefined)
})
ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(
<React.StrictMode>
<App />
@@ -0,0 +1,696 @@
import { Contact, Message } from '../../../shared/types'
import {
GroupDailyReport,
GroupReportMetadata,
ReportFunBadge,
ReportMediaGalleryItem,
ReportMode,
ReportSpeakerRank,
ReportVisionGalleryItem,
ReportVoiceHighlight,
ReportVoiceLeaderboardItem
} from '../../../shared/group-report'
import type {
ImageAnalysisRequest,
ImageAnalysisResponse,
ImageCandidate,
ImageCandidateQuery
} from '../../../shared/image-insight'
interface ReportImageReadResult {
success: boolean
data?: string
error?: string
}
declare const window: {
api: {
imageListCandidates: (query: ImageCandidateQuery) => Promise<{
success: boolean
candidates: ImageCandidate[]
error?: string
}>
imageAnalyze: (request: ImageAnalysisRequest) => Promise<ImageAnalysisResponse>
getImage: (
imageMd5?: string,
imageDatNameOrThumb?: string | boolean,
sessionId?: string
) => Promise<ReportImageReadResult>
}
}
export interface GroupReportTranscriptRow {
id: string
datetime: string
timestamp: number
sender: string
content: string
avatar?: string
}
export interface GroupReportFactsSnapshot {
metadata: GroupReportMetadata
transcriptRows: GroupReportTranscriptRow[]
topSpeakers: ReportSpeakerRank[]
activeTimeline: string
media: GroupDailyReport['media']
voiceLeaderboard: ReportVoiceLeaderboardItem[]
factsPrompt: string
}
export const isInternalIdentifier = (value: string): boolean =>
/@chatroom$/i.test(value) || /^wxid_/i.test(value) || /^[a-z0-9_-]{18,}$/i.test(value)
export const summarySender = (
message: Message,
contact: Contact | null,
isGroup: boolean
): string => {
if (message.from === 'assistant') {
const ownGroupNickname = message.name?.trim()
if (isGroup && ownGroupNickname && !isInternalIdentifier(ownGroupNickname)) {
return ownGroupNickname
}
return '我'
}
const candidate = isGroup ? message.name : contact?.m_nsNickName
if (!candidate || isInternalIdentifier(candidate)) return isGroup ? '未命名群成员' : '对方'
return candidate
}
export const summaryContent = (message: Message): string => {
const data = message.contentData
if (!data) return message.content?.trim() || `[${message.type || '消息'}]`
switch (data.type) {
case 'image':
return '[图片]'
case 'sticker':
return '[表情]'
case 'voice':
return `[语音${data.duration ? ` ${data.duration}` : ''}]`
case 'share':
return `[分享] ${data.title}${data.des ? `${data.des}` : ''}`
case 'quote': {
const reply = data.title || data.content || message.content || '[回复]'
const quotedSender =
data.quotedSender && !isInternalIdentifier(data.quotedSender) ? data.quotedSender : '群成员'
return `${reply}(引用 ${quotedSender}${data.quotedContent || `[引用${data.quotedType || '消息'}]`}`
}
case 'location':
return `[位置] ${data.poiname || data.label || '位置消息'}`
case 'card':
return `[名片] ${data.nickname || '微信名片'}`
case 'voip':
return `[通话] ${data.status}${data.duration ? `${data.duration}` : ''}`
case 'system':
case 'text':
return data.content
case 'unknown':
return `[${message.type || '未知消息'}]`
}
return `[${message.type || '消息'}]`
}
export const parseTimestamp = (message: Message): number => {
const value = new Date(message.datetime).getTime()
return Number.isFinite(value) ? value : 0
}
export const localDate = (timestamp: number): string => {
const date = new Date(timestamp)
const year = date.getFullYear()
const month = String(date.getMonth() + 1).padStart(2, '0')
const day = String(date.getDate()).padStart(2, '0')
return `${year}-${month}-${day}`
}
export const localTime = (timestamp: number): string =>
new Date(timestamp).toLocaleTimeString('zh-CN', {
hour12: false,
hour: '2-digit',
minute: '2-digit'
})
export const resolveVoiceDuration = (message: Message): number => {
const fromData = message.contentData?.type === 'voice' ? message.contentData.duration : undefined
return Math.max(0, Number(fromData ?? message.voiceDuration ?? 0) || 0)
}
const truncate = (value: string, max = 48): string =>
value.length > max ? `${value.slice(0, max - 1)}` : value
const buildImageContext = (
messages: Message[],
index: number,
contact: Contact | null,
isGroup: boolean
): {
note: string
stats: string
responseCount: number
participantCount: number
snippets: string[]
} => {
const baseTime = parseTimestamp(messages[index])
const participants = new Set<string>()
const snippets: string[] = []
let responseCount = 0
for (let offset = index + 1; offset < messages.length && offset <= index + 8; offset++) {
const candidate = messages[offset]
const candidateTime = parseTimestamp(candidate)
if (baseTime && candidateTime && candidateTime - baseTime > 20 * 60 * 1000) break
if (candidate.type === '系统消息' || candidate.from === 'system') continue
const sender = summarySender(candidate, contact, isGroup)
const sameSender = sender === summarySender(messages[index], contact, isGroup)
const content = summaryContent(candidate)
if (!sameSender) {
responseCount += 1
participants.add(sender)
}
if (
snippets.length < 3 &&
!content.startsWith('[图片]') &&
!content.startsWith('[表情]') &&
!content.startsWith('[语音')
) {
snippets.push(truncate(content, 28))
}
}
const note = snippets.length
? `图片发出后,群里接着聊到:${snippets.join(' / ')}`
: responseCount > 0
? '图片发出后引发了一波接续讨论。'
: '这张图片更多像是一次轻量分享,没有形成长链路讨论。'
const statsParts: string[] = []
if (responseCount > 0) statsParts.push(`${responseCount} 条后续消息`)
if (participants.size > 0) statsParts.push(`${participants.size} 人接话`)
if (!statsParts.length) statsParts.push('讨论热度较低')
return {
note,
stats: statsParts.join(' · '),
responseCount,
participantCount: participants.size,
snippets
}
}
const buildMediaSection = async (
messages: Message[],
contact: Contact | null,
isGroup: boolean,
topSpeakersMap: Map<string, number>
): Promise<{
media: GroupDailyReport['media']
voiceLeaderboard: ReportVoiceLeaderboardItem[]
warnings: string[]
}> => {
const warnings: string[] = []
const rendererApi = typeof window === 'undefined' ? null : window.api
const rawImageCandidates = messages
.map((message, index) => {
if (message.contentData?.type !== 'image') return null
const sender = summarySender(message, contact, isGroup)
const context = buildImageContext(messages, index, contact, isGroup)
return {
sourceMessageIds: [message.id],
md5: message.contentData.md5,
datName: message.contentData.datName,
sessionId: message.sessionId,
sender,
time: localTime(parseTimestamp(message)),
note: context.note,
stats: context.stats,
replyCount: context.responseCount,
participantCount: context.participantCount,
score: context.responseCount * 3 + context.participantCount * 2 + 1
}
})
.filter((item): item is NonNullable<typeof item> => Boolean(item))
.sort((left, right) => right.score - left.score)
.slice(0, 6)
// ============================================================
// AI 图片理解(ImageInsightService 接入)
// 通过 main 进程拿 Top 3 热点图 + 已缓存的 Insight;未缓存的并发调 AI
// 失败不阻塞:任何错误只记日志,降级到原 gallery
// ============================================================
let visionGallery: ReportVisionGalleryItem[] = []
try {
if (!rendererApi) throw new Error('后台模式不读取 Renderer 图片')
const sessionId = messages.find((m) => m.sessionId)?.sessionId || (contact?.md5 ?? '')
const startTime = messages.length ? parseTimestamp(messages[0]) : 0
const endTime = messages.length ? parseTimestamp(messages[messages.length - 1]) : 0
// 从 renderer 已加载的消息中提取图片候选(复用 buildImageContext 已算的 replyCount)
const imageInputs = rawImageCandidates.map((c) => {
const srcMsg = messages.find((m) => m.id === c.sourceMessageIds[0]) || messages[0]
return {
messageId: c.sourceMessageIds[0] || '',
md5: c.md5,
datName: c.datName,
sessionId: c.sessionId || sessionId,
sender: c.sender,
sentAt: parseTimestamp(srcMsg),
responseCount: c.replyCount || 0,
interactionCount: c.participantCount || 0
}
})
const candidatesResp = await rendererApi.imageListCandidates({
sessionId,
startTime,
endTime,
limit: 3,
inputs: imageInputs
})
const candidates = candidatesResp.success ? candidatesResp.candidates : []
console.log('[buildMediaSection] imageListCandidates returned', candidates.length, 'candidates')
// 对每个候选:缓存命中直接用,未命中并发调 imageAnalyze
const analyzed = await Promise.all(
candidates.map(async (candidate) => {
if (candidate.insight) return candidate.insight
// 未命中:解密图片拿 base64 → 调 AI
try {
const img = await rendererApi.getImage(
candidate.md5,
candidate.datName,
candidate.sessionId
)
if (!img.success || !img.data) {
warnings.push(
`${candidate.sender} ${localTime(candidate.sentAt)} 的图片读取失败:${img.error || '未知错误'}`
)
return null
}
const analyzeResp = await rendererApi.imageAnalyze({
imageHash: candidate.imageHash,
imageDataUrl: img.data,
messageId: candidate.messageId,
sender: candidate.sender,
sentAt: candidate.sentAt,
sessionId: candidate.sessionId,
force: false
})
if (!analyzeResp.success || !analyzeResp.insight) {
warnings.push(
`${candidate.sender} ${localTime(candidate.sentAt)} 的图片识别失败:${analyzeResp.error || '模型未返回识别结果'}`
)
return null
}
return analyzeResp.insight
} catch (error) {
console.warn('[buildMediaSection] image analyze failed:', error)
warnings.push(
`${candidate.sender} ${localTime(candidate.sentAt)} 的图片识别异常:${error instanceof Error ? error.message : String(error)}`
)
return null
}
})
)
visionGallery = analyzed
.filter((it): it is NonNullable<typeof it> => Boolean(it))
.map((it) => ({
messageId: it.messageId,
imageHash: it.imageHash,
sender: it.sender,
time: localTime(it.sentAt),
description: it.description,
ocrText: it.ocrText,
tags: it.tags,
category: it.category,
importance: it.importance,
sourceMessageIds: [it.messageId]
}))
// 为 visionGallery 加载原图 dataUrl(给 main 渲染用,不暴露给 LLM)
if (visionGallery.length) {
visionGallery = await Promise.all(
visionGallery.map(async (item) => {
const orig = rawImageCandidates.find((c) => c.sourceMessageIds[0] === item.messageId)
if (!orig) return item
try {
const img = await rendererApi.getImage(orig.md5, orig.datName, orig.sessionId)
if (img.success && img.data?.startsWith('data:image/')) {
return { ...item, imageUrl: img.data }
}
} catch (error) {
console.warn('[buildMediaSection] preload image failed for', item.messageId, error)
}
return item
})
)
}
} catch (error) {
console.warn('[buildMediaSection] vision flow failed, fallback to empty:', error)
warnings.push(`图片识别流程失败:${error instanceof Error ? error.message : String(error)}`)
visionGallery = []
}
const imageCandidates = rendererApi
? await Promise.all(
rawImageCandidates.map(async (item) => {
const result = await rendererApi.getImage(item.md5, item.datName, item.sessionId)
if (!result.success || !result.data?.startsWith('data:image/')) return null
return {
sender: item.sender,
time: item.time,
imageUrl: result.data,
note: item.note,
stats: item.stats,
inferenceLabel: '基于图片后的聊天上下文推断',
sourceMessageIds: item.sourceMessageIds,
replyCount: item.replyCount,
score: item.score
}
})
)
: []
const gallery: ReportMediaGalleryItem[] = imageCandidates
.filter((item): item is NonNullable<typeof item> => Boolean(item))
.sort((left, right) => right.score - left.score)
.slice(0, 4)
.map((item) => ({
sender: item.sender,
time: item.time,
imageUrl: item.imageUrl,
note: item.note,
stats: item.stats,
inferenceLabel: item.inferenceLabel,
sourceMessageIds: item.sourceMessageIds,
replyCount: item.replyCount
}))
const voiceMessages = messages
.filter((message) => message.contentData?.type === 'voice')
.map((message) => ({
sender: summarySender(message, contact, isGroup),
duration: resolveVoiceDuration(message),
time: localTime(parseTimestamp(message))
}))
const voiceTotals = new Map<string, { count: number; duration: number }>()
for (const item of voiceMessages) {
const current = voiceTotals.get(item.sender) || { count: 0, duration: 0 }
current.count += 1
current.duration += item.duration
voiceTotals.set(item.sender, current)
}
const voiceLeaderboard: ReportVoiceLeaderboardItem[] = Array.from(voiceTotals.entries())
.map(([sender, value]) => ({
sender,
count: value.count,
durationSec: value.duration
}))
.sort((left, right) => right.durationSec - left.durationSec || right.count - left.count)
.slice(0, 5)
let bestStreak: { sender: string; count: number; duration: number; time: string } | null = null
let currentStreak: { sender: string; count: number; duration: number; time: string } | null = null
for (const message of messages) {
if (message.contentData?.type !== 'voice') {
currentStreak = null
continue
}
const sender = summarySender(message, contact, isGroup)
const duration = resolveVoiceDuration(message)
const time = localTime(parseTimestamp(message))
if (currentStreak && currentStreak.sender === sender) {
currentStreak.count += 1
currentStreak.duration += duration
} else {
currentStreak = { sender, count: 1, duration, time }
}
if (!bestStreak || currentStreak.count > bestStreak.count) {
bestStreak = { ...currentStreak }
}
}
const voiceHighlights: ReportVoiceHighlight[] = []
if (voiceLeaderboard[0]) {
voiceHighlights.push({
title: '语音输出王',
sender: voiceLeaderboard[0].sender,
note: `共发送 ${voiceLeaderboard[0].count} 条语音,累计 ${voiceLeaderboard[0].durationSec} 秒。`
})
}
if (bestStreak && bestStreak.count >= 2) {
voiceHighlights.push({
title: '连续发言时刻',
sender: bestStreak.sender,
note: `${bestStreak.time} 连发 ${bestStreak.count} 条语音,共 ${bestStreak.duration} 秒。`
})
}
const funBadges: ReportFunBadge[] = []
const topSpeaker = Array.from(topSpeakersMap.entries()).sort(
(left, right) => right[1] - left[1]
)[0]
if (topSpeaker) {
funBadges.push({
title: '高能输出王',
owner: topSpeaker[0],
note: `今天一共发了 ${topSpeaker[1]} 条消息。`
})
}
if (gallery[0]) {
funBadges.push({
title: '图片话题王',
owner: gallery[0].sender,
note: `${gallery[0].time} 的图片带动了最明显的一轮讨论。`
})
}
if (voiceLeaderboard[0]) {
funBadges.push({
title: '语音麦霸',
owner: voiceLeaderboard[0].sender,
note: `语音总时长暂居第一,适合放进“今日声音档案”。`
})
}
return {
media: {
gallery,
visionGallery,
voiceHighlights: voiceHighlights.slice(0, 2),
funBadges: funBadges.slice(0, 3)
},
voiceLeaderboard,
warnings
}
}
const collectQuestionCandidates = (
messages: Message[],
contact: Contact | null,
isGroup: boolean
): string[] =>
messages
.map((message) => ({
id: message.id,
sender: summarySender(message, contact, isGroup),
content: summaryContent(message)
}))
.filter(
(item) =>
/[?]$/.test(item.content) || item.content.includes('吗') || item.content.includes('怎么')
)
.slice(-6)
.map((item) => `${item.sender}${item.id}):${truncate(item.content, 32)}`)
const collectReplyFacts = (
messages: Message[],
contact: Contact | null,
isGroup: boolean
): string[] =>
messages
.filter((message) => message.contentData?.type === 'quote' && message.contentData.quotedSender)
.slice(0, 10)
.map((message) => {
const sender = summarySender(message, contact, isGroup)
const quotedSender =
message.contentData?.type === 'quote' && message.contentData.quotedSender
? message.contentData.quotedSender
: '群成员'
return `${sender} 回复了 ${quotedSender}`
})
export const buildGroupReportFacts = async (
messages: Message[],
contact: Contact | null,
isGroup: boolean,
reportMode: ReportMode
): Promise<GroupReportFactsSnapshot> => {
const transcriptRows = messages.map((message) => ({
id: message.id,
datetime: message.datetime,
timestamp: parseTimestamp(message),
sender: summarySender(message, contact, isGroup),
content: summaryContent(message),
avatar: message.img
}))
let firstTimestamp = Number.POSITIVE_INFINITY
let lastTimestamp = Number.NEGATIVE_INFINITY
for (const row of transcriptRows) {
if (!Number.isFinite(row.timestamp)) continue
firstTimestamp = Math.min(firstTimestamp, row.timestamp)
lastTimestamp = Math.max(lastTimestamp, row.timestamp)
}
if (!Number.isFinite(firstTimestamp)) firstTimestamp = Date.now()
if (!Number.isFinite(lastTimestamp)) lastTimestamp = firstTimestamp
const speakerCounts = new Map<string, number>()
const hourCounts = new Map<number, number>()
const avatars: Record<string, string | undefined> = {}
let imageCount = 0
let stickerCount = 0
let voiceCount = 0
let voiceDurationSec = 0
for (const message of messages) {
const sender = summarySender(message, contact, isGroup)
const timestamp = parseTimestamp(message)
speakerCounts.set(sender, (speakerCounts.get(sender) || 0) + 1)
if (Number.isFinite(timestamp)) {
const hour = new Date(timestamp).getHours()
hourCounts.set(hour, (hourCounts.get(hour) || 0) + 1)
}
if (message.img && !avatars[sender]) avatars[sender] = message.img
if (message.contentData?.type === 'image') imageCount += 1
if (message.contentData?.type === 'sticker') stickerCount += 1
if (message.contentData?.type === 'voice') {
voiceCount += 1
voiceDurationSec += resolveVoiceDuration(message)
}
}
const topSpeakers = Array.from(speakerCounts, ([name, count]) => ({ name, count }))
.sort((left, right) => right.count - left.count)
.slice(0, 5)
const activeTimeline = Array.from(hourCounts, ([hour, count]) => ({ hour, count }))
.sort((left, right) => right.count - left.count)
.slice(0, 4)
.sort((left, right) => left.hour - right.hour)
.map(
({ hour, count }) =>
`${String(hour).padStart(2, '0')}:00-${String(hour).padStart(2, '0')}:59${count}条)`
)
.join('、')
const startDate = localDate(firstTimestamp)
const endDate = localDate(lastTimestamp)
const sameDay = startDate === endDate
const dateRange = sameDay
? `${startDate} ${localTime(firstTimestamp)}-${localTime(lastTimestamp)}`
: `${startDate} ${localTime(firstTimestamp)}${endDate} ${localTime(lastTimestamp)}`
const durationMs = Math.max(0, lastTimestamp - firstTimestamp)
const durationHours = durationMs / 3600000
const timeSpan = (() => {
if (sameDay) {
if (durationHours < 1) {
const minutes = Math.max(1, Math.round(durationMs / 60000))
return `${minutes} min`
}
const hours = Math.max(1, Math.ceil(durationHours))
return `${hours} h`
}
const days = Math.max(1, Math.ceil(durationMs / 86400000))
return `${days} d`
})()
const contactName = contact?.m_nsNickName || ''
const groupName = contactName && !isInternalIdentifier(contactName) ? contactName : '未命名会话'
const metadata: GroupReportMetadata = {
groupName,
reportDate: sameDay ? startDate : `${startDate}_to_${endDate}`,
dateRange,
messageCount: transcriptRows.length,
activeUsers: speakerCounts.size,
imageCount,
voiceCount,
stickerCount,
mediaMessageCount: imageCount + voiceCount + stickerCount,
timeSpan,
generatedAt: new Date().toLocaleString('zh-CN', { hour12: false }),
recordNote: `基于 WechatExplorer 已加载的 ${transcriptRows.length} 条记录`,
footerNote: '基于已读取聊天记录生成;图片、表情等未解析内容默认只按类型与上下文参与日报。',
heroParticipants: topSpeakers.slice(0, 4).map((speaker) => speaker.name),
avatars,
reportMode
}
const { media, voiceLeaderboard, warnings } = await buildMediaSection(
messages,
contact,
isGroup,
speakerCounts
)
if (warnings.length) metadata.warnings = [...(metadata.warnings || []), ...warnings]
if (imageCount > 0 && !media.visionGallery?.length) {
metadata.footerNote = `图片识别未成功:${warnings[0] || '当前模型未返回图片理解结果'}。其余内容基于已读取聊天记录生成。`
} else if (media.visionGallery?.length) {
metadata.footerNote = `基于已读取聊天记录生成;其中 ${media.visionGallery.length} 张图片已由当前视觉模型识别。`
}
if (
transcriptRows.length > 0 &&
transcriptRows.every((row) => row.content === '[图片]') &&
!media.visionGallery?.length
) {
throw new Error(
warnings[0] || '所选记录只有图片,但当前图片均未能识别,请检查图片解密密钥和模型视觉能力'
)
}
const factsPrompt = [
`报告模式:${reportMode === 'compact' ? '精简版(30秒可读完)' : '完整版(保留更多上下文)'}`,
`消息统计:共 ${transcriptRows.length} 条,活跃成员 ${speakerCounts.size} 人,图片 ${imageCount} 张,表情 ${stickerCount} 条,语音 ${voiceCount} 条(累计 ${voiceDurationSec} 秒)。`,
activeTimeline ? `活跃时段:${activeTimeline}` : '',
media.gallery.length
? `图片观察:${media.gallery.map((item) => `${item.time} ${item.sender} 发图(${item.stats}`).join('')}`
: '',
// AI 图片理解结果(由 ImageInsightService 提供,缓存命中或已调用 Vision)
(media.visionGallery?.length ?? 0) > 0
? `AI 图片识别摘要:${(media.visionGallery || [])
.map(
(it) =>
`[${it.time} ${it.sender}] ${it.description}${it.ocrText ? `OCR: ${it.ocrText}` : ''}${it.tags.length ? ` [${it.tags.join('/')}]` : ''}`
)
.join('')}`
: '',
voiceLeaderboard.length
? `语音榜:${voiceLeaderboard
.slice(0, 3)
.map((item) => `${item.sender} ${item.count} 条 / ${item.durationSec}`)
.join('')}`
: '',
collectQuestionCandidates(messages, contact, isGroup).length
? `疑似待跟进问题:${collectQuestionCandidates(messages, contact, isGroup).join('')}`
: '',
collectReplyFacts(messages, contact, isGroup).length
? `回复关系样本:${collectReplyFacts(messages, contact, isGroup).join('')}`
: ''
]
.filter(Boolean)
.join('\n')
return {
metadata,
transcriptRows,
topSpeakers,
activeTimeline,
media,
voiceLeaderboard,
factsPrompt
}
}
File diff suppressed because it is too large Load Diff
+38
View File
@@ -0,0 +1,38 @@
export type AgentHubRuntimeStatus = 'starting' | 'online' | 'offline' | 'error'
export type WechatConnectorStatus =
| 'checking'
| 'disconnected'
| 'starting'
| 'waiting_scan'
| 'scanned'
| 'online'
| 'error'
export interface AgentHubStatus {
hub: AgentHubRuntimeStatus
connector: WechatConnectorStatus
qrCodeDataUrl?: string
accountId?: string
wechatUserId?: string
error?: string
updatedAt: number
dataApi?: 'checking' | 'online' | 'offline'
databaseReady?: boolean
}
export interface AgentHubActionResult {
success: boolean
status: AgentHubStatus
error?: string
}
export type AgentHubLogSource = 'agent-hub' | 'wechat-connector' | 'system'
export type AgentHubLogLevel = 'info' | 'warn' | 'error'
export interface AgentHubLogEntry {
id: number
timestamp: number
source: AgentHubLogSource
level: AgentHubLogLevel
message: string
}
+7
View File
@@ -15,6 +15,11 @@ export interface AIProviderAuth {
export interface AIModelCapabilities {
chat: boolean
vision: boolean
/**
* OCR vision ( vision OCR)
* ,UI "图片文字识别"
*/
ocr: boolean
longContext: boolean
}
@@ -66,6 +71,7 @@ export interface AIRuntimeModelConfig {
modelName: string
configured: boolean
status: AIProviderSummary['status']
timeoutMs?: number
}
export interface LegacyAIConfig {
@@ -77,6 +83,7 @@ export interface LegacyAIConfig {
export interface AIChatRequestOptions {
providerId?: string
modelId?: string
timeoutMs?: number
// Legacy compatibility only. New callers must use providerId/modelId.
apiKey?: string
baseURL?: string
+8
View File
@@ -0,0 +1,8 @@
export type AppLogLevel = 'info' | 'warn' | 'error'
export interface AppLogEntry {
level: AppLogLevel
scope: string
message: string
details?: Record<string, unknown>
}
+197 -4
View File
@@ -1,4 +1,36 @@
export type ReportHeat = '高' | '中' | '低'
export type ReportMode = 'compact' | 'full'
export type ReportSectionKey =
| 'hero'
| 'topics'
| 'importantMessages'
| 'actions'
| 'moments'
| 'analytics'
| 'keywords'
| 'resources'
| 'qa'
| 'storylines'
| 'reversals'
| 'gallery'
| 'vision'
| 'voices'
| 'badges'
| 'chains'
export interface ReportSectionMeta {
enabled: boolean
importance: number
confidence: number
totalCount: number
displayedCount: number
hiddenCount?: number
}
export interface ReportTopicConclusion {
text: string
sourceMessageIds?: string[]
}
export interface ReportTopic {
title: string
@@ -7,13 +39,25 @@ export interface ReportTopic {
participants: string[]
summary: string
conclusion?: string
conclusions?: ReportTopicConclusion[]
keywords: string[]
sourceMessageIds?: string[]
image?: {
imageUrl?: string
note: string
sourceMessageIds?: string[]
/** AI 图片识别缓存 key(由 visionGallery 提供,main 渲染时按此取 base64) */
imageHash?: string
/** AI 真实识别的描述(来自 ImageInsight.description) */
aiDescription?: string
} | null
}
export interface ReportResource {
title: string
description: string
sender?: string
sourceMessageIds?: string[]
}
export interface ReportImportantMessage {
@@ -21,22 +65,30 @@ export interface ReportImportantMessage {
time: string
content: string
note: string
sourceMessageIds?: string[]
importance?: number
confidence?: number
}
export interface ReportQuoteMessage {
sender: string
content: string
sourceMessageId?: string
}
export interface ReportQuote {
messages: ReportQuoteMessage[]
note: string
sourceMessageIds?: string[]
importance?: number
confidence?: number
}
export interface ReportQuestionAnswer {
question: string
answer: string
answerer?: string
sourceMessageIds?: string[]
}
export interface ReportTopicHeat {
@@ -49,19 +101,157 @@ export interface ReportSpeakerRank {
count: number
}
export interface ReportHero {
headline: string
summary: string
keyTakeaway?: string
pendingNote?: string
statusLine?: string
}
export interface ReportMediaGalleryItem {
sender: string
time: string
imageUrl: string
note: string
stats?: string
inferenceLabel?: string
sourceMessageIds?: string[]
replyCount?: number
}
/**
* AI ( ImageInsightService )
* ReportMediaGalleryItem 不同:本类型不含 imageUrl( main ),
* description AI ()
*/
export interface ReportVisionGalleryItem {
messageId: string
imageHash: string
sender: string
time: string
description: string
ocrText?: string
tags: string[]
category: 'screenshot' | 'photo' | 'meme' | 'document' | 'chart' | 'other'
importance: 'low' | 'medium' | 'high'
sourceMessageIds?: string[]
/** 预加载好的 dataURL,render 时直接嵌进 HTML */
imageUrl?: string
}
export interface ReportVoiceHighlight {
title: string
sender: string
note: string
sourceMessageIds?: string[]
}
export interface ReportVoiceLeaderboardItem {
sender: string
count: number
durationSec: number
}
export interface ReportFunBadge {
title: string
owner: string
note: string
}
export interface ReportTodoItem {
task: string
owner?: string | null
deadline?: string | null
topic?: string | null
note?: string
sourceMessageIds?: string[]
importance?: number
confidence?: number
}
export interface ReportUnresolvedItem {
question: string
owner?: string
status: '待跟进' | '暂未回答' | '进行中'
note: string
lastDiscussedAt?: string | null
sourceMessageIds?: string[]
importance?: number
confidence?: number
}
export interface ReportStorylineStage {
time: string
event: string
sourceMessageIds?: string[]
}
export interface ReportStoryline {
title: string
stages: ReportStorylineStage[]
result?: string
sourceMessageIds?: string[]
}
export interface ReportReversal {
topic: string
initialView: string
finalView: string
note?: string
sourceMessageIds?: string[]
}
export interface ReportParticipantChain {
topic: string
chain: string[]
note?: string
sourceMessageIds?: string[]
}
export interface ReportSummaryStats {
messageCount: number
activeUsers: number
topicCount: number
mediaCount: number
imageCount: number
voiceCount: number
stickerCount: number
conclusionCount: number
todoCount: number
unresolvedCount: number
}
export interface GroupDailyReport {
overview: string
mode?: ReportMode
hero?: ReportHero
topics: ReportTopic[]
resources: ReportResource[]
importantMessages: ReportImportantMessage[]
quotes: ReportQuote[]
qa: ReportQuestionAnswer[]
todos: ReportTodoItem[]
unresolved: ReportUnresolvedItem[]
storylines: ReportStoryline[]
reversals: ReportReversal[]
participantChains: ReportParticipantChain[]
analytics: {
topicHeat: ReportTopicHeat[]
activeTimeline: string
topSpeakers: ReportSpeakerRank[]
voiceLeaderboard: ReportVoiceLeaderboardItem[]
}
keywords: string[]
media: {
gallery: ReportMediaGalleryItem[]
/** AI 识别的图片(由 ImageInsightService 提供),渲染时由 main 按 imageHash 取原图 */
visionGallery?: ReportVisionGalleryItem[]
voiceHighlights: ReportVoiceHighlight[]
funBadges: ReportFunBadge[]
}
summaryStats?: ReportSummaryStats
sectionMeta?: Partial<Record<ReportSectionKey, ReportSectionMeta>>
}
export interface GroupReportMetadata {
@@ -70,24 +260,27 @@ export interface GroupReportMetadata {
dateRange: string
messageCount: number
activeUsers: number
imageCount?: number
voiceCount?: number
stickerCount?: number
mediaMessageCount?: number
timeSpan: string
generatedAt: string
recordNote: string
footerNote: string
heroParticipants: string[]
avatars: Record<string, string | undefined>
// === 新增(可选,向后兼容) ===
/** 群昵称 / wxid / md5,服务端用来反推真头像(从 getGroupSnapshot) */
reportMode?: ReportMode
talker?: string
/** 预留,与 /api/v1/chatlog 的 time 参数同格式 */
timeRange?: string
/** 服务端写回,告知 client enrich 失败/部分缺失 */
warnings?: string[]
}
export interface GroupReportExportRequest {
report: GroupDailyReport
metadata: GroupReportMetadata
/** 模板 ID:'v1' 经典 / 'v2' 当前。缺省或未知值用默认(v2) */
templateId?: 'v1' | 'v2'
}
export interface GroupReportExportResult {
+110
View File
@@ -0,0 +1,110 @@
// src/shared/image-insight.ts
// ImageInsight:微信图片的 AI 理解结果持久化数据结构
// 与 WechatExplorer 整体 AI 知识平台定位一致 — 图片理解结果可索引、可缓存、可复用。
export type ImageCategory =
| 'screenshot' // 截图
| 'photo' // 实拍照片
| 'meme' // 表情包
| 'document' // 文档/合同/票据
| 'chart' // 图表/数据
| 'other'
export type ImageImportance = 'low' | 'medium' | 'high'
/**
* AI ( image-insights.json)
*
* imageHash key :
* md5(,)
* md5 sha256(rawBytes).slice(0, 32)
*/
export interface ImageInsight {
id: string // UUID
messageId: string // 微信消息 ID(用于追溯)
imageHash: string // 缓存 key:微信 md5 优先,无 md5 才用 sha256
md5?: string // 微信图片 md5
datName?: string // .dat 文件名
/** AI 输出 */
description: string // 1-2 句中文描述
ocrText?: string // OCR 提取的文字(vision 模型一并返回)
tags: string[] // 关键词标签
category: ImageCategory
importance: ImageImportance
/** 元数据 */
provider: string // AI provider ID
model: string // AI model ID
createdAt: number // 首次分析时间戳
updatedAt: number // 最近更新时间
/** 关联消息信息 */
sender: string
sentAt: number
sessionId: string
}
/**
* (main 使)
*/
export interface ImageAnalysisRequest {
/** 必传,缓存 key */
imageHash: string
/** base64 dataURL,仅 main 内部使用 */
imageDataUrl: string
messageId: string
sender: string
sentAt: number
sessionId: string
/** 强制重新分析(忽略缓存) */
force?: boolean
}
/**
*
*/
export interface ImageAnalysisResponse {
success: boolean
insight?: ImageInsight
/** 是否来自缓存 */
fromCache?: boolean
error?: string
}
/**
* (使)
* , Top N + Insight
*/
export interface ImageCandidate {
messageId: string
imageHash: string
md5?: string
datName?: string
sessionId: string
sender: string
sentAt: number
/** 热度分数 */
heatScore: number
/** 命中缓存时附带 */
insight?: ImageInsight
}
export interface ImageCandidateQuery {
sessionId: string
startTime: number
endTime: number
/** 取 Top N,默认 3 */
limit?: number
/** 由 renderer 从已加载消息中提取的图片候选(包含热度信息) */
inputs?: Array<{
messageId: string
md5?: string
datName?: string
sessionId: string
sender: string
sentAt: number
responseCount: number
interactionCount: number
}>
}
+4 -1
View File
@@ -11,7 +11,10 @@ export const LOCAL_API_ENDPOINTS = {
},
'group-snapshot': { method: 'GET', path: '/api/v1/group_snapshot', queryKeys: ['md5'] },
resolve: { method: 'GET', path: '/api/v1/resolve', queryKeys: ['q'] },
report: { method: 'POST', path: '/api/v1/report', queryKeys: [] }
report: { method: 'POST', path: '/api/v1/report', queryKeys: [] },
'agent-status': { method: 'GET', path: '/api/v1/agent/status', queryKeys: [] },
'agent-group-report': { method: 'POST', path: '/api/v1/agent/group-report', queryKeys: [] },
'agent-send': { method: 'POST', path: '/api/v1/agent/send', queryKeys: [] }
} as const
export type LocalApiEndpointId = keyof typeof LOCAL_API_ENDPOINTS