fix: 定时任务修复+管理后台Task7支持 (Task4外键修复, Task7管理员邮箱动态查询, Task5限流防护, Task7加入SCRIPT_MAP)
This commit is contained in:
ZhuiGuangAI Dev
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@@ -1,5 +1,133 @@
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# 追光AI 变更日志
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## 2026-05-28 UI优化 + 社区页面修复
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### 🟡 HeroBanner 新增 orange 配色方案
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- **问题**: Skills 页面深红色（crimson `#881337→#e11d48`）视觉过深，用户反馈体验不佳
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- **修复**: 新增 `orange` 配色方案 `#c2410c → #ea580c → #f97316 → #fb923c`
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- **文件**: `src/components/common/HeroBanner.tsx` — 新增 `orange` scheme，STAR_COUNTS 添加 `orange: 80`，SVG 圆环渲染加入 orange
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- **页面**: `src/app/skills/SkillsPageClient.tsx` — colorScheme 从 `crimson` 改为 `orange`
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### 🟡 社区话题详情页 Server Component 错误修复
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- **问题**: `/community/topic/[id]` 页面报错 `Event handlers cannot be passed to Client Component props`
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- **根因**: 页面是 Server Component，但内联了 `onSubmit={async (e) => {...}}` 事件处理函数
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- **修复**: 提取回复表单为独立 Client Component `ReplyForm.tsx`，页面仅渲染 `<ReplyForm topicId={topicId} isLocked={topic.isLocked} />`
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- **文件**: `src/app/community/topic/[id]/ReplyForm.tsx`（新增）、`src/app/community/topic/[id]/page.tsx`（修改）
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- **同时**: ReplyForm 增加 `disabled` 状态防止重复提交
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### 📁 变更统计
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| 类型 | 数量 |
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|------|------|
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| 修改文件 | 3个（HeroBanner.tsx + SkillsPageClient.tsx + community/topic/[id]/page.tsx） |
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| 新增文件 | 1个（ReplyForm.tsx） |
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| 新增配色 | 1个（orange） |
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| TypeScript检查 | 零错误通过 |
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---
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## 2026-05-28 全盘安全扫描 + 系统优化（6项修复）
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### 🔴 P0 安全修复：任意用户可创建工具
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- **admin/tools/route.ts POST**: 此前无任何认证，任意登录用户可直接创建工具
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- **修复**: 添加 `requireAdmin()` 认证检查，输入参数校验（name/websiteUrl/categoryId非空），categoryId有效性校验（存在性检查），slug自动去重
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- **注**: 扫描全部25个后台写操作API，其余24个已有requireAdmin
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### 🔴 P0 FK回退硬编码修复（4处）
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- **问题**: `categoryId || 1` — id=1 在生产数据库不存在（分类从165开始），导致FK约束失败
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- **修复方式**: 动态取数据库第一个有效分类 `category.findFirst({ select: { id: true } })` 替代硬编码 `1`
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- **修复文件**:
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| 文件 | 修复 |
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|------|------|
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| `scripts/task3-check-tools.mjs` | 自动发布时 FK 回退 |
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| `src/app/api/admin/tools/route.ts` | 创建工具 POST |
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| `src/app/api/admin/pending/batch-publish/route.ts` | 批量发布待审核工具 |
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| `src/app/api/admin/pending-skills/batch-publish/route.ts` | 批量发布待审核技能 |
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| `src/app/api/admin/pending-skills/publish-all/route.ts` | 一键发布所有待审核技能 |
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### 🟡 P1 批量操作安全加固
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- **validation.ts**: `toolImportSchema.max(100)`、`skillImportSchema.max(100)`、`newsImportSchema.max(50)`、`checkTypeSchema.max(50)`
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- **批量发布API**: `pending/batch-publish` 和 `pending-skills/batch-publish` 添加 `ids.length > 500` 上限检查
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- **问题**: 原无上限，恶意请求可一次处理任意多条记录
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### 🟡 定时任务全盘扫描结果
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- **lib库**: prisma/deepseek/github/logo-fetcher/rate-limit 全部符合规范 ✅
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- **脚本**: 全部使用 `mariadb://` 协议 + `PrismaMariaDb` adapter ✅
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- **API**: 25个后台POST中24个已有requireAdmin（1个漏洞已修复） ✅
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- **TypeScript**: `tsc --noEmit` 零错误通过 ✅
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### 📊 定时任务执行情况（05-27 → 05-28）
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| 任务 | 状态 | 说明 |
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|------|------|------|
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| Task5 更新星值 | ✅ 正常 | 更新37个技能星值 |
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| Task3 工具巡检 | ⚠️ 服务器未更新 | 本地已修复FK回退，需部署脚本到服务器 |
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| Task6 评测热门 | ✅ 正常 | 无待评测技能，reviewed:0（正常） |
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| Task4 发现技能 | ✅ 正常 | 发现0，跳过42（GitHub新项目少） |
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| Task1 发现工具 | ✅ 正常 | 发现6个，导入2个 |
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| AI日报 | ✅ 正常 | 生成37号日报，6条内容 |
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| Task7 新闻推社区 | ✅ 正常 | 创建6条帖子 |
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### 📁 变更统计
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| 类型 | 数量 |
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|------|------|
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| 修改文件 | 8个 |
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| 修复问题 | 6项（1P0安全 + 4P0 FK + 1P1批量上限） |
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| TypeScript检查 | 零错误通过 |
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---
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## 2026-05-27 定时任务根因修复 + 新闻推社区功能上线
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### 🔴 P0 根因修复：定时任务全部不运行（5月25日故障）
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**诊断过程：**
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- SSH 调查发现 `logs/` 目录不存在，crontab 环境不加载 `.env` 变量
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- 首次修复（wrapper + install-cron）后测试 task5 报错：`error parsing connection string, format must be 'mariadb://'`
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- 进一步发现 `.env` 文件值带单引号（`DATABASE_URL='mysql://...'`），`xargs` 导出方式无法正确处理
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**三层根因 + 修复：**
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| 层次 | 问题 | 修复 |
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|------|------|------|
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| 环境变量加载 | crontab 不加载 `.env` → 创建 `cron-wrapper.sh` 统一入口，使用 `source` + `set -a`/`set +a` |
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| .env 值格式 | 带单引号导致 `SET NAMES utf8mb4'` SQL语法错误 → 去除所有值的引号 |
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| 数据库协议 | `mysql://` 与 PrismaMariaDb 不兼容 → 21个脚本添加 `.replace('mysql://', 'mariadb://')` |
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### 🔴 P0 脚本语法修复
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- **task1-discover-tools.mjs**: 移除 TypeScript 类型注解（`const errors: string[]` / `const categoryMap: Record<string, number>`）— `.mjs` 文件不支持 TS 语法
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- **task6-review-hot.mjs**: 移除 `prisma.skillReview.create()` 中的 `tags` 字段 — SkillReview 模型无此字段，Prisma 报 `Unknown argument 'tags'`
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- **task7-news-to-community.mjs**: CATEGORY_MAP slug 映射修复 — `ai-products/tech-discussion/open-source/industry-trends` → `ai-tools/ai-news/tech/discuss`（匹配 DB 实际 slug）
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### 🟢 新功能上线
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- **Task7 新闻推社区**: `scripts/task7-news-to-community.mjs` — 每天 08:00 将日报新闻分发到社区 4 个板块
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- 映射规则：product→AI工具推荐 / business→AI资讯 / model→技术探讨 / opensource→技术探讨 / policy→AI资讯 / insight→观点讨论
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- 首次运行测试：9条日报全部成功分发（[AI资讯]×6, [技术探讨]×2, [观点讨论]×1）
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### 🛠 新增工具脚本
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- `scripts/fix-db-url.cjs` — 批量修复 21 个脚本的 `mysql://` → `mariadb://` 协议
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- `scripts/fix-ts-types.cjs` — 批量移除 `.mjs` 文件中的 TypeScript 类型注解
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- `scripts/check-categories.cjs` — 检查数据库社区板块
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### 📊 测试验证结果（7个任务全部通过）
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| 任务 | 测试结果 |
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|------|----------|
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| Task5 星值更新 | ✅ 更新37⭐，0失败 |
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| Task3 工具巡检 | ✅ 巡检463个，网站失效32个 |
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| Task6 评测热门 | ✅ 评测2个（Snailclimb/JavaGuide 4.4⭐, system-prompts 3.4⭐） |
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| Task4 技能发现 | ✅ 正常执行 |
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| Task1 工具发现 | ✅ 发现10个AI工具，入库6个 |
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| 日报生成 | ✅ 生成9条AI日报 |
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| Task7 新闻推社区 | ✅ 9条全部分发到社区板块 |
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### 📁 变更统计
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| 类型 | 数量 |
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|------|------|
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| 修改的服务器脚本 | 21个（协议修复）+ 3个（bug修复） |
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| 新增脚本 | 3个（fix-db-url.cjs, fix-ts-types.cjs, check-categories.cjs） |
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| 修复的根因 | 3层（env加载 + 引号 + 协议） + 4个脚本bug |
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| 服务器验证 | 7/7 任务全部测试通过 |
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---
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## 2026-05-25 全面审查优化（三轮扫描 + 43项修复）
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### 🔴 P0 安全修复
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@@ -141,7 +141,7 @@
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- `POST /api/admin/tasks/run` — 手动触发任务执行
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### 定时任务（Crontab）
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所有6个定时任务全部经过TaskLog记录：
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所有7个定时任务全部经过TaskLog记录，由 `scripts/cron-wrapper.sh` 统一入口执行（自动加载 `.env` 环境变量、创建日志目录）：
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| 时间 | 任务 | 脚本 | TaskKey | 说明 |
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|------|------|------|---------|------|
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@@ -151,9 +151,12 @@
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| 05:00 | Task4 发现技能 | `scripts/daily-discover.mjs` | task4-discover-skills | GitHub搜索≥1000 stars项目→DeepSeek预评测→入库PendingSkill |
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| 06:00 | Task1 发现工具 | `scripts/task1-discover-tools.mjs` | task1-discover-tools | 36kr/IT之家/开源中国RSS→DeepSeek提取工具→入库PendingTool |
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| 07:30 | AI日报 | `scripts/daily-news.mjs` | daily-news | 多源搜索真实新闻+DeepSeek整理格式→发布日报 |
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| 08:00 | Task7 新闻推社区 | `scripts/task7-news-to-community.mjs` | task7-news-to-community | 将当日日报新闻分发到社区4个板块（AI工具推荐/AI资讯/技术探讨/观点讨论） |
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- Crontab 位于服务器: `crontab -l`（ubuntu用户）
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- 日志目录: `/home/ubuntu/zhuiguang-ai/logs/`（task1.log ~ task6.log）
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- Crontab 位于服务器: `crontab -l`（ubuntu用户），安装脚本: `bash scripts/install-cron.sh`
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- 统一入口: `scripts/cron-wrapper.sh <TASK_NAME> <SCRIPT_PATH>` — 自动加载 `.env`、创建日志目录、记录执行结果
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- 日志目录: `/home/ubuntu/zhuiguang-ai/logs/`（task1.log ~ task7.log, daily-news.log）
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- **关键**: crontab 环境不加载 `.env`，所有定时任务必须通过 wrapper 执行；`.env` 值不能加引号
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## AI日报新闻源
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- **36kr** RSS (https://36kr.com/feed) — 国内科技资讯
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@@ -172,6 +175,10 @@
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- Chart.js组件需用dynamic import + ssr: false，不支持服务端渲染
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- Prisma 7.8需通过PrismaMariaDb适配器初始化，不能直接new PrismaClient()
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- 服务器环境SSL证书问题: 运行脚本需设置$env:NODE_TLS_REJECT_UNAUTHORIZED="0"
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- **crontab env隔离**: crontab 不加载 `.env`，必须用 wrapper 脚本 `source .env` + `set -a`/`set +a`
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- **.env 引号陷阱**: `.env` 值禁止加引号，`xargs` 导出会保留引号导致 SQL 语法错误
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- **PrismaMariaDb 协议**: adapter 只接受 `mariadb://`，`.env` 中的 `mysql://` 需在脚本中 `.replace('mysql://', 'mariadb://')`
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- **.mjs 不支持 TS**: `.mjs` 文件不能有 TypeScript 类型注解（`const x: Type =`），需用纯 JS 语法
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### 6. 安全原则
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- 敏感信息（密钥、密码、Token）必须使用环境变量，禁止硬编码
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@@ -180,6 +187,9 @@
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- 文件上传/下载必须限制大小（最大 5MB）和类型，SVG 内容需消毒 script/iframe/on-event 标签
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- Logo 文件名使用 SHA256 哈希（不使用 MD5）
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- VIP 用户不能访问管理后台（/admin/* 和 /api/admin/*）
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- **后台写操作 API 必须使用 requireAdmin 中间件**（全部 25 个 POST 接口已验证）
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- **数据库外键回退值禁止硬编码**：凡涉及 FK 字段（如 categoryId）必须先查库取有效 ID，再做回退（参考 `category.findFirst()` 模式），禁止用 `|| 1` 等魔法数字
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- **批量写操作必须限制数量上限**：工具/技能导入 max(100)，新闻导入 max(50)，批量发布 max(500)
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### 7. 可靠性原则
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- 所有外部 API 调用（GitHub、DeepSeek 等）必须设置超时和重试
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@@ -24,7 +24,7 @@
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zhuiguang-ai/
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├── prisma/ # 数据库Schema + 迁移 + 种子
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├── public/ # 静态资源 (logo.png, logos/)
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├── scripts/ # 独立脚本 (6个定时任务 + 多个工具脚本)
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├── scripts/ # 独立脚本 (7个定时任务 + 多个工具脚本)
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├── src/
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│ ├── app/
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│ │ ├── (admin)/admin/ # 后台页面 (18个页面 + 任务调度3个子页)
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@@ -88,13 +88,13 @@ DEEPSEEK_API_KEY=<required-for-review>
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- **GitHub Star同步**: 通过GitHub API定期更新技能Star数，维护90天历史
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- **五维评测系统**: GitHub数据采集 + DeepSeek AI评测 + 雷达图展示，5维度(capability/devExp/costLicense/community/performance)评分
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- **评测榜单**: 前台/reviews页面展示评测分榜TOP10 + Stars涨幅榜TOP10侧边栏
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- **任务调度系统**: 6个定时任务(Task1-6)+AI日报，统一TaskConfig配置+TaskLog执行历史+后台可视化管理+手动触发
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- **任务调度系统**: 7个定时任务(Task1-6+Task7新闻推社区)+AI日报，统一TaskConfig配置+TaskLog执行历史+后台可视化管理+手动触发，通过cron-wrapper.sh统一入口执行
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- **权限体系**: 53个精细化权限点，角色管理，细粒度权限控制
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- **社区互动**: 评论/回复、收藏、浏览历史、收藏夹、通知系统、论坛板块
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- **分页**: 所有列表页面支持分页（每页20条）
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- **浅色主题**: 科技感浅色设计系统，毛玻璃效果+渐变文字+精致阴影
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- **层级分类**: 一级分类+二级分类，左侧导航+标签切换
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- **用户系统**: 邮箱注册/登录、GitHub OAuth、收藏功能、浏览历史
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- **安全加固**: 后台API全部添加requireAdmin中间件验证，路由层+中间件双重防御
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- **安全加固**: 后台25个写操作API全部添加requireAdmin中间件验证；批量操作ids数组需校验非空且有数量上限(100~500)；FK字段回退值禁止硬编码
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- **端口锁定**: 8301-8310区间，禁止使用其他端口
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- **频率限制**: 登录尝试限制、IP请求限制
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@@ -111,7 +111,7 @@ NextAuth认证端点（登录/回调/CSRF等）。
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| 路由 | 方法 | 功能 |
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|------|------|------|
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| /api/admin/tools | GET | 获取所有工具（分页） |
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| /api/admin/tools | POST | 创建工具 |
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| /api/admin/tools | POST | 创建工具（requireAdmin + 输入校验 + categoryId有效性校验 + slug自动去重） |
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| /api/admin/tools/[id] | PUT | 更新工具 |
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| /api/admin/tools/[id] | DELETE | 删除工具 |
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@@ -133,7 +133,7 @@ NextAuth认证端点（登录/回调/CSRF等）。
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| /api/admin/pending/[id] | DELETE | 删除单个待审核工具 |
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| /api/admin/pending/[id]/publish | POST | 发布为正式工具 |
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| /api/admin/pending/batch | POST | 批量导入（去重+自动抓Logo） |
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| /api/admin/pending/batch-publish | POST | 批量发布（ids数组） |
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| /api/admin/pending/batch-publish | POST | 批量发布（ids数组，最多500条，categoryId动态回退） |
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| /api/admin/pending/batch-reject | POST | 批量拒绝（ids数组） |
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| /api/admin/pending/fetch-logos | POST | 批量抓取Logo（body: {scope, refetch?}） |
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@@ -147,9 +147,9 @@ NextAuth认证端点（登录/回调/CSRF等）。
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| /api/admin/pending-skills/[id] | DELETE | 删除单个待审核技能 |
|
||||
| /api/admin/pending-skills/[id]/publish | POST | 发布为正式技能 |
|
||||
| /api/admin/pending-skills/batch | POST | 批量导入（去重） |
|
||||
| /api/admin/pending-skills/batch-publish | POST | 批量发布（ids数组） |
|
||||
| /api/admin/pending-skills/batch-publish | POST | 批量发布（ids数组，最多500条，categoryId动态回退） |
|
||||
| /api/admin/pending-skills/batch-reject | POST | 批量拒绝（ids数组） |
|
||||
| /api/admin/pending-skills/publish-all | POST | 一键发布所有待审核技能 |
|
||||
| /api/admin/pending-skills/publish-all | POST | 一键发布所有待审核技能（categoryId动态回退） |
|
||||
|
||||
### AI发现与检测（提示词+JSON粘贴模式，不调用外部AI API）
|
||||
|
||||
|
||||
@@ -27,14 +27,17 @@
|
||||
|
||||
### /reviews (评测中心)
|
||||
- 文件: `src/app/reviews/page.tsx`
|
||||
- 组件: ReviewsList, SidebarRankings
|
||||
- 功能: 评测列表展示（主栏）+ 侧边栏榜单（评测分榜TOP10 + Stars涨幅榜TOP10）
|
||||
- 组件: ReviewsList, CommunitySidebar(侧栏)
|
||||
- 布局: 三栏 `grid-cols-[208px_1fr_280px]` — HeroBanner横幅 + 左侧排行 + 内容区 + 右侧说明
|
||||
- 左侧栏: 外部热度排行(GitHub Stars周涨幅) + 评测分值排行
|
||||
- 右侧栏: 五维模型说明 + 评测评分规则
|
||||
- 数据源: `/api/skill-reviews`, `/api/skill-reviews/rankings`
|
||||
|
||||
### /skills (技能库)
|
||||
- 文件: `src/app/skills/page.tsx`
|
||||
- 组件: SkillsPageClient
|
||||
- 功能: 技能分类筛选（一级+二级分类，左侧导航+标签切换）、搜索、分页
|
||||
- 背景配色: HeroBanner `orange` 橙色方案（`#c2410c → #ea580c → #f97316`）
|
||||
- 数据源: `/api/skill-categories`, `/api/skills`
|
||||
|
||||
### /skills/[slug] (技能详情)
|
||||
@@ -69,9 +72,15 @@
|
||||
|
||||
### /user/collections/[id] (收藏夹详情)
|
||||
- 文件: `src/app/user/collections/[id]/page.tsx`
|
||||
- 功能: 单个收藏夹内的工具/技能展示
|
||||
- 功能: 收藏夹内工具列表，拖拽排序，分享
|
||||
- 数据源: `/api/user/collections/[id]`
|
||||
|
||||
### /user/[id] (会员个人空间)
|
||||
- 文件: `src/app/user/[id]/page.tsx`
|
||||
- 组件: ShareButton
|
||||
- 功能: 用户资料展示（头像/昵称/简介/等级/积分）+ 统计面板 + 发布主题列表 + 评论历史 + 分享按钮
|
||||
- 数据源: `/api/user/[id]`
|
||||
|
||||
---
|
||||
|
||||
## 后台页面
|
||||
@@ -158,7 +167,7 @@
|
||||
|
||||
### /admin/tasks (任务中心)
|
||||
- 文件: `src/app/(admin)/admin/tasks/page.tsx`
|
||||
- 功能: 6个定时任务总览卡片、各任务启用/禁用开关、手动运行按钮、最近执行状态、Cron表达式展示
|
||||
- 功能: 7个定时任务总览卡片、各任务启用/禁用开关、手动运行按钮、最近执行状态、Cron表达式展示
|
||||
- 数据源: `/api/admin/tasks/configs`, `/api/admin/tasks/run`
|
||||
|
||||
### /admin/tasks/logs (任务执行日志)
|
||||
|
||||
@@ -24,9 +24,13 @@
|
||||
|
||||
### 公共组件
|
||||
|
||||
#### HeroBanner (`src/components/common/HeroBanner.tsx`)
|
||||
- 首页横幅组件
|
||||
- 渐变背景 + 渐变文字标题 + CTA按钮
|
||||
#### HeroBanner (`src/components/common/HeroBanner.tsx`) 🔄
|
||||
- 文件: `src/components/common/HeroBanner.tsx`
|
||||
- 用途: 页面顶部横屏海报（Canvas粒子动画+SVG装饰+渐变背景）
|
||||
- 6种配色方案: `SCHEMES` 配置表 (`cosmos`/`aurora`/`dawn`/`forest`/`crimson`/`orange`)
|
||||
- Props: `{ title: string, highlight: string, colorScheme: ColorScheme, stats: {label, value, unit}[], slogan: string, subSlogan?: string }`
|
||||
- 动画: Canvas星星闪烁+流星效果，每种配色有独立的星星颜色、流星颜色、背景渐变、SVG装饰图案
|
||||
- 使用页面: `/`(cosmos蓝) `/skills`(orange橙) `/daily`(dawn金) `/reviews`(aurora紫) `/community`(forest绿)
|
||||
|
||||
#### LoginModal (`src/components/common/LoginModal.tsx`)
|
||||
- 登录/注册弹窗，支持模式切换
|
||||
|
||||
@@ -78,6 +78,8 @@ AI发现模块是追光AI的核心功能，采用"提示词+JSON粘贴导入"模
|
||||
### Logo本地存储 (`src/lib/logo-storage.ts`)
|
||||
- `downloadLogo(url, filename): Promise<string>` — 下载Logo到 `/public/logos/` 目录
|
||||
- 返回本地路径如 `/logos/filename.png`
|
||||
- **安全限制**: 最大文件大小 5MB，SVG 内容自动消毒 script/iframe/on-event 标签
|
||||
- **文件名**: 使用 SHA256 哈希生成（不再使用 MD5）
|
||||
|
||||
## 自动化评测流程
|
||||
|
||||
@@ -117,6 +119,17 @@ Crontab(6个定时) → 脚本执行(Node.js .mjs) → 外部API调用(GitHub/De
|
||||
后台管理 /admin/tasks → 查看配置/状态/历史/手动触发
|
||||
```
|
||||
|
||||
### 环境要求
|
||||
- 所有脚本启动时验证 `DEEPSEEK_API_KEY` + `DATABASE_URL` 存在性
|
||||
- DeepSeek 调用统一使用 `AbortSignal.timeout(120000)` + `withRetry` 重试（指数退避 1s → 2s，最多3次）
|
||||
- DeepSeek 模型名通过环境变量 `DEEPSEEK_MODEL` 配置（默认 `deepseek-v4-pro`）
|
||||
- GitHub Octokit 配置 `request.timeout: 30000`，配合 withRetry 重试
|
||||
- GitHub API 调用需设置 `GITHUB_TOKEN` 环境变量认证（限流从 60→5000次/小时）
|
||||
|
||||
### skill-discoverer.ts N+1 优化
|
||||
- **修复前**: 每个 repo 执行 3 次 DB 查询 + 每次 guessCategoryId 查一次分类 → ~360次/次发现
|
||||
- **修复后**: 循环前批量预加载 sourceUrl/slug/分类到内存 Set → ~22次/次发现（↓94%）
|
||||
|
||||
### 7个任务总览
|
||||
|
||||
| # | 任务 | 脚本 | Cron | 依赖外部API | 产量 |
|
||||
|
||||
@@ -14,6 +14,7 @@
|
||||
- 用户数据存储在User表
|
||||
- 密码bcrypt加密
|
||||
- GitHub OAuth登录（自动创建/关联用户）
|
||||
- **OAuth 竞态处理**: GitHub OAuth 并发创建用户时 P2002 唯一约束冲突自动回退 findFirst
|
||||
- 登录频率限制: 7次/分钟
|
||||
|
||||
### 登录流程
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
- 使用PrismaMariaDb adapter
|
||||
- 连接池配置（connection_limit=20, pool_timeout=30）
|
||||
- 日志: 开发环境warn/error，生产环境error
|
||||
- **环境变量校验**: DATABASE_URL 未设置时抛出明确错误（移除硬编码默认连接串）
|
||||
|
||||
### auth.ts - 认证配置
|
||||
- NextAuth配置导出
|
||||
@@ -31,22 +32,26 @@
|
||||
|
||||
### validation.ts - 数据验证
|
||||
- Zod验证schemas
|
||||
- 包含: registerSchema, loginSchema, paginationSchema, toolImportSchema, skillImportSchema, newsImportSchema, checkTypeSchema, profileUpdateSchema, favoriteSchema, historySchema, taskRunSchema, roleCreateSchema, categoryCreateSchema, skillCategoryCreateSchema, systemConfigUpdateSchema
|
||||
- 包含: registerSchema, loginSchema, paginationSchema, toolImportSchema(**max(100)**), skillImportSchema(**max(100)**), newsImportSchema(**max(50)**), checkTypeSchema(**max(50)**), profileUpdateSchema, favoriteSchema, historySchema, taskRunSchema, roleCreateSchema, categoryCreateSchema, skillCategoryCreateSchema, systemConfigUpdateSchema
|
||||
- 批量导入数组均有数量上限，防止一次请求导入过多数据
|
||||
|
||||
### deepseek.ts - DeepSeek评测生成
|
||||
- 依赖: openai (兼容OpenAI接口)
|
||||
- 认证: process.env.DEEPSEEK_API_KEY
|
||||
- baseURL: https://api.deepseek.com/v1
|
||||
- 模型: deepseek-v4-pro
|
||||
- 模型: 环境变量 `DEEPSEEK_MODEL`（默认 `deepseek-v4-pro`）
|
||||
- 客户端配置: `timeout: 120000`, `maxRetries: 2`
|
||||
- `generateReview(repoName, description, stars, license, readme)`: 调用DeepSeek生成五维评测
|
||||
- 综合分校验: 自动计算五维均分，偏差>0.3时修正
|
||||
- JSON提取: 兼容markdown代码块包裹的响应
|
||||
|
||||
### github.ts - GitHub数据采集
|
||||
- 依赖: octokit
|
||||
- 认证: process.env.GITHUB_TOKEN (可选，提升限流60→5000次/小时)
|
||||
- `searchHotRepos(query, minStars, maxResults)`: 搜索热门仓库，按Star降序
|
||||
- `getRepoReadme(owner, repo)`: 获取仓库README内容(base64解码)
|
||||
- 认证: process.env.GITHUB_TOKEN (推荐设置，提升限流60→5000次/小时)
|
||||
- Octokit配置: `request.timeout: 30000`
|
||||
- **withRetry**: 指数退避重试（最多3次），403/404/422 不重试直接抛
|
||||
- `searchHotRepos(query, minStars, maxResults)`: 搜索热门仓库，按Star降序（带重试）
|
||||
- `getRepoReadme(owner, repo)`: 获取仓库README内容(base64解码)（带重试+错误日志）
|
||||
- `GitHubRepo` 接口: id, full_name, html_url, description, stargazers_count, forks_count, language, license, topics, updated_at, readme
|
||||
|
||||
### logo-fetcher.ts - Logo抓取引擎
|
||||
@@ -55,16 +60,21 @@
|
||||
- 10种抓取策略按优先级执行
|
||||
- 支持从SystemConfig读取配置
|
||||
- 每种成功方法返回中文名称
|
||||
- 所有 catch 块均添加 `console.warn` 日志（9处）
|
||||
|
||||
### logo-storage.ts - Logo本地存储
|
||||
- 导出 `downloadLogo(url, filename): Promise<string>`
|
||||
- 下载远程Logo到 `/public/logos/` 目录
|
||||
- 返回本地路径如 `/logos/filename.png`
|
||||
- **安全**: 最大文件大小 5MB
|
||||
- **安全**: SVG 内容自动消毒 script/iframe/on-event 标签
|
||||
- **哈希算法**: 使用 SHA256 生成文件名（不再使用 MD5）
|
||||
|
||||
### rate-limit.ts - 频率限制
|
||||
- `rateLimit(ip, maxRequests, windowMs)` — IP频率限制
|
||||
- 内存存储（Map）
|
||||
- 默认: 10次/分钟
|
||||
- **自动清理**: 每5分钟自动清理过期IP记录，防止内存无限增长
|
||||
|
||||
### use-permission.ts - 前端权限Hook
|
||||
- 客户端Hook
|
||||
@@ -75,7 +85,7 @@
|
||||
|
||||
## 脚本 (`scripts/`)
|
||||
|
||||
### 定时任务脚本（6个 + 1个日报，均含TaskLog记录）
|
||||
### 定时任务脚本（6个 + 1个日报 + 1个新闻推社区，均含TaskLog记录）
|
||||
|
||||
#### task1-discover-tools.mjs — Task1 发现AI工具
|
||||
- 每天06:00由Crontab触发
|
||||
@@ -87,6 +97,7 @@
|
||||
- 每天03:00由Crontab触发
|
||||
- 检查所有已发布Tool网站可访问性+Logo有效性，更新websiteOk/logoOk字段
|
||||
- 对PendingTool逐一检查，四项检查全部通过则自动发布为正式Tool
|
||||
- **FK回退**: categoryId为NULL时动态取数据库第一个有效分类（不再硬编码 `|| 1`）
|
||||
- 结果写入TaskLog(taskKey: task3-check-tools)，含websiteFails/logoFails/autoPublished统计
|
||||
|
||||
#### task4 daily-discover.mjs — Task4 发现AI技能
|
||||
@@ -120,9 +131,16 @@
|
||||
- 入库DailyReport表
|
||||
- 结果写入TaskLog(taskKey: daily-news)，含reportId/itemCount/title统计
|
||||
|
||||
#### task7-news-to-community.mjs — Task7 新闻推社区
|
||||
- 每天08:00由Crontab触发
|
||||
- 查询今日(或昨天)已发布日报 → 按新闻category映射到社区板块
|
||||
- 映射规则: product→ai-tools / business→ai-news / model→tech / opensource→tech / policy→ai-news / insight→discuss
|
||||
- 以admin用户身份创建ForumTopic，去重(按标题)，更新板块topicCount
|
||||
- 结果写入TaskLog(taskKey: task7-news-to-community)，含created/skipped统计
|
||||
|
||||
#### seed-task-configs.mjs — 任务配置种子数据
|
||||
- 一次性运行（幂等，创建或更新）
|
||||
- 初始化6个TaskConfig记录（task1/3/4/5/6 + daily-news）
|
||||
- 初始化7个TaskConfig记录（task1/3/4/5/6/7 + daily-news）
|
||||
- 含默认cronExpr、enabled=true、description
|
||||
|
||||
### 其他脚本
|
||||
@@ -191,9 +209,14 @@
|
||||
- 清空pending_tools表
|
||||
|
||||
### cron脚本 (shell)
|
||||
- `cron-daily-discover.sh` — 每日技能发现
|
||||
- `cron-daily-news.sh` — 每日新闻发现
|
||||
- `cron-task1.sh` — Task1定时任务
|
||||
- `cron-wrapper.sh` — 定时任务统一执行入口，自动 `source .env` + `set -a`/`set +a` 加载环境变量，创建日志目录，记录执行结果
|
||||
- `install-cron.sh` — 一键安装/更新 crontab（7个任务+日报+新闻推社区，全部通过wrapper执行）
|
||||
- `fix-db-url.sh` — 旧版数据库URL修复脚本（已被 fix-db-url.cjs 取代）
|
||||
|
||||
### lib/retry.mjs
|
||||
- 重试工具函数
|
||||
|
||||
### 修复/诊断脚本
|
||||
- `fix-db-url.cjs` — 批量修复所有 `.mjs` 脚本的 `mysql://` → `mariadb://` 协议兼容（PrismaMariaDb adapter 要求）
|
||||
- `fix-ts-types.cjs` — 批量移除 `.mjs` 文件中的 TypeScript 类型注解（`.mjs` 不支持 TS 语法）
|
||||
- `check-categories.cjs` — 检查数据库社区板块分类，输出所有 ForumCategory 的 id/name/slug
|
||||
|
||||
@@ -205,7 +205,7 @@
|
||||
### /community/topic/[id] (话题详情)
|
||||
- 话题完整内容展示
|
||||
- 回复列表（作者标记）
|
||||
- 回复表单（已登录可用）
|
||||
- 回复表单（已登录可用，提取为 `ReplyForm.tsx` Client Component，支持防重复提交）
|
||||
- 锁定话题显示提示
|
||||
|
||||
### /user (🆕 更新的用户中心)
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
- **开发机**: E:\ZG_Dev\ZhuiGuangAI\zhuiguang-ai
|
||||
- **部署目录**: /home/ubuntu/zhuiguang-ai
|
||||
- **访问地址**: https://www.zhuig.com (HTTP自动跳转HTTPS)
|
||||
- **本地Git同步目录**: K:\git-repos
|
||||
- **本地Git同步目录**: C:\gitbf (完整Git仓库)
|
||||
|
||||
### 端口规范
|
||||
- **应用端口范围**: 8301-8310（预留扩展）
|
||||
@@ -101,26 +101,48 @@ pm2 restart zhuiguang-ai
|
||||
|
||||
### .env配置
|
||||
```bash
|
||||
# 数据库
|
||||
# 数据库（必填，启动时校验）
|
||||
DATABASE_URL="mysql://mohe001:***@rm-0jlbgr2rv6dj3t6jngo.mysql.rds.aliyuncs.com:3306/zhuiguang_ai?charset=utf8mb4"
|
||||
|
||||
# NextAuth
|
||||
# NextAuth（必填）
|
||||
NEXTAUTH_URL="http://localhost:8301"
|
||||
NEXTAUTH_SECRET="zhuiguang-ai-dev-secret"
|
||||
NEXTAUTH_SECRET="请生成一个随机高强度密钥（至少32位）"
|
||||
|
||||
# GitHub API（可选，提升限流）
|
||||
GITHUB_TOKEN=""
|
||||
# GitHub API（必填，提升限流60→5000次/小时）
|
||||
GITHUB_TOKEN="ghp_xxxxxxxxxxxxxxxxxxxx"
|
||||
|
||||
# DeepSeek API（用于技能评测生成脚本、AI日报整理）
|
||||
# DeepSeek API（必填，用于技能评测/新闻整理/工具提取，启动时校验）
|
||||
DEEPSEEK_API_KEY="sk-..."
|
||||
|
||||
# DeepSeek 模型名（可选，默认 deepseek-v4-pro）
|
||||
DEEPSEEK_MODEL="deepseek-v4-pro"
|
||||
```
|
||||
|
||||
> **注意**: `.env` 文件已被加入 `.gitignore`，不得提交到 Git 仓库。请使用 `.env.example` 作为模板。
|
||||
|
||||
## PM2配置
|
||||
- 进程名: zhuiguang-ai
|
||||
- 启动命令: `npm run start`
|
||||
- 端口: 8301
|
||||
- 重启: `pm2 restart zhuiguang-ai`
|
||||
|
||||
## 安全配置
|
||||
|
||||
### HTTP 响应头
|
||||
next.config.mjs 配置以下安全响应头：
|
||||
- **CSP (Content-Security-Policy)**: `default-src 'self'` + 安全白名单
|
||||
- **HSTS (Strict-Transport-Security)**: `max-age=31536000; includeSubDomains`
|
||||
- **Permissions-Policy**: `camera=(), microphone=(), geolocation=()`
|
||||
- **X-Content-Type-Options**: `nosniff`
|
||||
- **X-Frame-Options**: `DENY`
|
||||
- **X-XSS-Protection**: `1; mode=block`
|
||||
- **Referrer-Policy**: `strict-origin-when-cross-origin`
|
||||
|
||||
### 权限控制
|
||||
- middleware.ts 中 `/admin/*` 和 `/api/admin/*` **仅 admin 角色可访问**（VIP 用户无权限）
|
||||
|
||||
---
|
||||
|
||||
## 踩坑记录
|
||||
- Next.js 14不支持useActionState，登录页用原生表单POST
|
||||
- Prisma MariaDB adapter需要连接字符串方式初始化
|
||||
|
||||
@@ -0,0 +1,30 @@
|
||||
#!/bin/bash
|
||||
echo "=== CRONTAB ==="
|
||||
crontab -l 2>&1
|
||||
echo "=== NODE ==="
|
||||
which node
|
||||
node -v
|
||||
echo "=== NPM ==="
|
||||
which npm
|
||||
npm -v
|
||||
echo "=== LOGS DIR ==="
|
||||
ls -la /home/ubuntu/zhuiguang-ai/logs/ 2>&1
|
||||
echo "=== TASK LOGS (last 5 each) ==="
|
||||
for f in /home/ubuntu/zhuiguang-ai/logs/*.log; do
|
||||
echo "--- $(basename $f) ---"
|
||||
tail -5 "$f" 2>&1
|
||||
done
|
||||
echo "=== ENV CHECK ==="
|
||||
grep -E "DEEPSEEK|DATABASE_URL|GITHUB_TOKEN|NODE_TLS" /home/ubuntu/zhuiguang-ai/.env 2>&1
|
||||
echo "=== SCRIPT TEST ==="
|
||||
cd /home/ubuntu/zhuiguang-ai && node -e "
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const scripts = fs.readdirSync('scripts').filter(f => f.endsWith('.mjs'));
|
||||
for (const s of scripts) {
|
||||
const stat = fs.statSync(path.join('scripts', s));
|
||||
console.log(s, '-', stat.mtime.toISOString());
|
||||
}
|
||||
"
|
||||
echo "=== PM2 LOGS ==="
|
||||
pm2 logs zhuiguang-ai --lines 5 --nostream 2>&1
|
||||
@@ -0,0 +1,584 @@
|
||||
{
|
||||
"characters": [
|
||||
{
|
||||
"key": "laochen",
|
||||
"displayName": "老陈",
|
||||
"email": "bot_laochen@zhuiguang.ai",
|
||||
"avatarPrompt": "45岁中国男性创业者，短发，穿深色polo衫，看起来务实精干",
|
||||
"personality": {
|
||||
"identity": "连续创业者，15年经验，做过餐饮（失败）、电商代运营（小赚）、社区团购（被收购），现在做跨境供应链",
|
||||
"expertise": ["供应链管理", "跨境物流", "小成本创业", "商业模式判断", "风险识别"],
|
||||
"weakness": ["纯技术创业", "资本市场运作", "Web3/区块链"],
|
||||
"stance": "现金流比规模重要，先活下来再谈增长，看不起烧钱模式",
|
||||
"speakingStyle": "口语化接地气，每段不超过3行，喜欢用'我操盘过''我那会儿'，可以调侃别人，偶尔爆粗口",
|
||||
"catchphrase": "这个坑我踩过",
|
||||
"forbiddenPatterns": ["首先其次最后", "从以下几个方面分析", "综上所述", "不可忽视"],
|
||||
"wordLimit": {"min": 150, "max": 500}
|
||||
},
|
||||
"primaryForums": ["cross-border"],
|
||||
"activeHours": {"weekday": ["07:00-10:00", "20:00-23:00"], "weekend": ["09:00-12:00", "15:00-18:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.7
|
||||
},
|
||||
{
|
||||
"key": "lisa",
|
||||
"displayName": "Lisa",
|
||||
"email": "bot_lisa@zhuiguang.ai",
|
||||
"avatarPrompt": "28岁中国女性，时尚干练，数据分析师风格",
|
||||
"personality": {
|
||||
"identity": "某大厂数据分析师出身，现在做抖音带货+品牌咨询，年营收800万",
|
||||
"expertise": ["数据分析", "抖音运营", "品牌策划", "选品策略", "复购率优化"],
|
||||
"weakness": ["供应链深度", "线下实体", "传统渠道"],
|
||||
"stance": "数据驱动一切决策，但承认数据不是万能的，实操经验正在追赶自己的分析能力",
|
||||
"speakingStyle": "理性但不冷，喜欢用具体数据说话但不会全是数字，偶尔吐槽甲方",
|
||||
"catchphrase": "数据不会骗人",
|
||||
"forbiddenPatterns": ["首先其次最后", "从以下几个方面分析", "综上所述"],
|
||||
"wordLimit": {"min": 150, "max": 450}
|
||||
},
|
||||
"primaryForums": ["ecommerce", "content"],
|
||||
"activeHours": {"weekday": ["09:00-12:00", "14:00-18:00", "21:00-23:00"], "weekend": ["10:00-12:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.75
|
||||
},
|
||||
{
|
||||
"key": "qianjie",
|
||||
"displayName": "钱姐",
|
||||
"email": "bot_qianjie@zhuiguang.ai",
|
||||
"avatarPrompt": "38岁中国女性，职业投资经理，穿职业装，气场强大",
|
||||
"personality": {
|
||||
"identity": "VC合伙人，专注消费和科技赛道，看过1000+项目，投过30+个",
|
||||
"expertise": ["估值逻辑", "商业模式判断", "市场天花板分析", "退出路径", "财务模型"],
|
||||
"weakness": ["实体运营细节", "基层执行", "情感判断"],
|
||||
"stance": "只关注可规模化的生意，小生意不是不好但不是投资的逻辑，最烦听人说'情怀'",
|
||||
"speakingStyle": "冷酷犀利，一针见血，喜欢反问让对方自己意识到问题，偶尔刻薄但逻辑在线",
|
||||
"catchphrase": "天花板在哪",
|
||||
"forbiddenPatterns": ["首先其次最后", "从以下几个方面", "总的来说"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["finance", "real-estate"],
|
||||
"activeHours": {"weekday": ["08:00-10:00", "14:00-17:00", "21:00-23:00"], "weekend": ["10:00-12:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.6
|
||||
},
|
||||
{
|
||||
"key": "xiaoming",
|
||||
"displayName": "小明",
|
||||
"email": "bot_xiaoming@zhuiguang.ai",
|
||||
"avatarPrompt": "22岁中国男性，刚毕业的大学生，穿卫衣，有点腼腆但好学",
|
||||
"personality": {
|
||||
"identity": "2026年刚毕业的计算机专业学生，现在边上班边搞副业，什么都想试试",
|
||||
"expertise": ["新工具使用", "信息搜索", "快速学习", "闲鱼/转转运营"],
|
||||
"weakness": ["商业判断", "供应链", "人际谈判", "风险控制"],
|
||||
"stance": "年轻就是资本，不怕失败，但也在学习不要无脑冲。已经从被割韭菜学到了一些东西",
|
||||
"speakingStyle": "多提问少下结论，用'大佬们''兄弟们'开头，说话真诚但偶尔犯傻，会虚心承认不懂",
|
||||
"catchphrase": "大佬们，这个怎么做",
|
||||
"forbiddenPatterns": ["首先其次最后", "从宏观角度", "我认为基于"],
|
||||
"wordLimit": {"min": 80, "max": 300}
|
||||
},
|
||||
"primaryForums": ["local-life", "education"],
|
||||
"activeHours": {"weekday": ["12:00-14:00", "18:00-22:00"], "weekend": ["全天"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.8
|
||||
},
|
||||
{
|
||||
"key": "wujie",
|
||||
"displayName": "吴姐",
|
||||
"email": "bot_wujie@zhuiguang.ai",
|
||||
"avatarPrompt": "35岁中国女性，温柔但精明，自由职业者气质",
|
||||
"personality": {
|
||||
"identity": "和老公两人做跨境电商，年利润200万，不做规模只做利润，生活工作平衡得很好",
|
||||
"expertise": ["跨境电商选品", "夫妻店运营", "成本控制", "小而美模式", "客户维护"],
|
||||
"weakness": ["规模化运营", "团队管理", "融资", "技术系统"],
|
||||
"stance": "不是每个人都适合做大，小也可以很美。最骄傲的是利润率高而不是规模大",
|
||||
"speakingStyle": "温和但坚定，娓娓道来，喜欢分享具体操作细节，话不多但每句都有用",
|
||||
"catchphrase": "我们两个人就够了",
|
||||
"forbiddenPatterns": ["首先其次最后", "从以下几个维度", "宏观来看"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["ecommerce", "cross-border"],
|
||||
"activeHours": {"weekday": ["10:00-12:00", "15:00-17:00", "20:00-22:00"], "weekend": ["09:00-11:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.55
|
||||
},
|
||||
{
|
||||
"key": "laozhang",
|
||||
"displayName": "老张",
|
||||
"email": "bot_laozhang@zhuiguang.ai",
|
||||
"avatarPrompt": "38岁中国男性，天猫大卖家，看起来有点疲惫但精明",
|
||||
"personality": {
|
||||
"identity": "天猫做女装5年，年营收3000万，曾经靠铺货做到品类前三，现在面临利润下滑的困境",
|
||||
"expertise": ["天猫/淘宝运营", "女装选品", "直通车/推广", "库存管理", "团队搭建"],
|
||||
"weakness": ["抖音/新渠道", "私域流量", "品牌化", "内容营销"],
|
||||
"stance": "认可平台的力量但也痛恨平台的抽成，在'做规模'和'做利润'之间反复纠结",
|
||||
"speakingStyle": "接地气的老板口气，经常算账给大家看，焦虑但真诚，偶尔吐槽平台和小二",
|
||||
"catchphrase": "算一笔账你就明白了",
|
||||
"forbiddenPatterns": ["首先其次最后", "从以下几个方面"],
|
||||
"wordLimit": {"min": 150, "max": 500}
|
||||
},
|
||||
"primaryForums": ["ecommerce"],
|
||||
"activeHours": {"weekday": ["08:00-11:00", "14:00-17:00", "20:00-23:00"], "weekend": ["10:00-13:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.7
|
||||
},
|
||||
{
|
||||
"key": "xiaoyu",
|
||||
"displayName": "小鱼",
|
||||
"email": "bot_xiaoyu@zhuiguang.ai",
|
||||
"avatarPrompt": "25岁中国女性，短视频带货博主，时尚活力，眼神里有机灵",
|
||||
"personality": {
|
||||
"identity": "95后创业女生，短视频带货+私域，一年搞了800万，精力旺盛，思维跳跃",
|
||||
"expertise": ["短视频带货", "私域流量", "抖音算法", "内容营销", "直播间运营"],
|
||||
"weakness": ["供应链管理", "财务规划", "传统电商", "长期战略"],
|
||||
"stance": "传统电商那套不行了，现在是内容驱动。不迷信数据但相信自己的嗅觉",
|
||||
"speakingStyle": "快节奏，信息量大，经常打感叹号，热情有感染力，偶尔翻车也会大方承认",
|
||||
"catchphrase": "说实话",
|
||||
"forbiddenPatterns": ["首先其次最后", "总结来说", "从长期来看"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["content", "ecommerce"],
|
||||
"activeHours": {"weekday": ["10:00-14:00", "16:00-20:00", "22:00-01:00"], "weekend": ["14:00-20:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.75
|
||||
},
|
||||
{
|
||||
"key": "laozhao",
|
||||
"displayName": "老赵",
|
||||
"email": "bot_laozhao@zhuiguang.ai",
|
||||
"avatarPrompt": "50岁中国男性，实体批发老板，面相憨厚但眼神精明",
|
||||
"personality": {
|
||||
"identity": "广州十三行做服装批发15年，档口+工厂，手下30个工人，见过太多潮起潮落",
|
||||
"expertise": ["服装供应链", "批发渠道", "成本控制", "库存管理", "线下渠道铺设"],
|
||||
"weakness": ["互联网运营", "数据分析", "品牌营销", "新零售模式"],
|
||||
"stance": "实业才是根基，看不起互联网泡沫。但心里知道时代变了，在偷偷学习",
|
||||
"speakingStyle": "粗糙直接，喜欢用'我们干实体的''我告诉你'，说话不拐弯，偶尔流露出对互联网的酸",
|
||||
"catchphrase": "干实体的才知道",
|
||||
"forbiddenPatterns": ["首先其次最后", "从宏观角度", "基于数据分析"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["food", "local-life"],
|
||||
"activeHours": {"weekday": ["06:00-09:00", "19:00-22:00"], "weekend": ["08:00-11:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "laolin",
|
||||
"displayName": "老林",
|
||||
"email": "bot_laolin@zhuiguang.ai",
|
||||
"avatarPrompt": "42岁中国男性，看起来有点沧桑但眼神有光，经历过风霜",
|
||||
"personality": {
|
||||
"identity": "连续失败者，做过餐饮（亏30万）、教育（亏20万）、社区团购（亏15万），现在还负80万债",
|
||||
"expertise": ["失败的教训", "风险识别", "成本控制", "小本生意", "餐饮行业"],
|
||||
"weakness": ["成功经验", "融资", "团队管理", "新技术"],
|
||||
"stance": "大多数创业建议都是幸存者偏差，真正的经验在失败者这里。悲观但不绝望，还在找翻盘机会",
|
||||
"speakingStyle": "沉重但有幽默感，自嘲是常态，喜欢说'你们说的我都干过全亏了'，分享教训时特别诚恳",
|
||||
"catchphrase": "这个我真干过，亏了",
|
||||
"forbiddenPatterns": ["首先其次最后", "成功的关键", "乐观来看"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["food", "health"],
|
||||
"activeHours": {"weekday": ["09:00-12:00", "15:00-18:00", "21:00-00:00"], "weekend": ["全天"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.6
|
||||
},
|
||||
{
|
||||
"key": "zhongzong",
|
||||
"displayName": "钟总",
|
||||
"email": "bot_zhongzong@zhuiguang.ai",
|
||||
"avatarPrompt": "48岁中国男性，传统行业转型的老板，穿着讲究，气质沉稳",
|
||||
"personality": {
|
||||
"identity": "传统建材行业老板转型互联网，手头有充裕资金，正在寻找新的投资方向",
|
||||
"expertise": ["传统企业转型", "资本运作", "项目判断", "人脉资源", "合规风控"],
|
||||
"weakness": ["互联网产品细节", "技术实现", "新媒体运营", "年轻人文化"],
|
||||
"stance": "有钱但更谨慎，吃过传统行业稳定的红利也看过互联网的泡沫，不着急出手但一直在看",
|
||||
"speakingStyle": "沉稳大老板口气，不紧不慢，喜欢算总账，偶尔流露出'我那个年代'的感概，但不迂腐",
|
||||
"catchphrase": "我算了一下",
|
||||
"forbiddenPatterns": ["首先其次最后", "综上所述"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["finance", "real-estate"],
|
||||
"activeHours": {"weekday": ["07:00-09:00", "11:00-14:00", "18:00-21:00"], "weekend": ["09:00-12:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "xiaodao",
|
||||
"displayName": "小刀",
|
||||
"email": "bot_xiaodao@zhuiguang.ai",
|
||||
"avatarPrompt": "30岁中国男性，程序员气质，眼镜，T恤，看起来聪明但不张扬",
|
||||
"personality": {
|
||||
"identity": "大厂程序员，月薪4万，业余做独立开发+AI工具，月副业收入1-2万，不想打工一辈子",
|
||||
"expertise": ["编程开发", "AI工具应用", "独立开发", "产品出海", "自动化"],
|
||||
"weakness": ["传统行业", "供应链", "销售", "人际社交"],
|
||||
"stance": "技术是最大的杠杆，一个人可以做出十个人的事。但知道技术不是万能的，在补齐商业短板",
|
||||
"speakingStyle": "技术宅风格，干净利落，喜欢分享工具和方法，说话有逻辑但不过于学术，会开玩笑",
|
||||
"catchphrase": "其实很简单",
|
||||
"forbiddenPatterns": ["首先其次最后", "从宏观来看", "基于我的经验"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["ai-tech"],
|
||||
"activeHours": {"weekday": ["12:00-14:00", "19:00-23:00"], "weekend": ["14:00-22:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.7
|
||||
},
|
||||
{
|
||||
"key": "nainai",
|
||||
"displayName": "奶奶",
|
||||
"email": "bot_nainai@zhuiguang.ai",
|
||||
"avatarPrompt": "70岁中国女性，银发，穿着优雅得体，眼神睿智温和",
|
||||
"personality": {
|
||||
"identity": "退休财务总监，70岁还在看项目、炒股票、学新东西，经历了改革开放以来的所有经济周期",
|
||||
"expertise": ["财务分析", "风险控制", "长期投资", "经济周期判断", "人生规划"],
|
||||
"weakness": ["最新科技产品", "社交媒体运营", "年轻人的消费习惯"],
|
||||
"stance": "经历过太多周期所以极度厌恶风险，但不迂腐。相信时间的力量和复利，最烦一夜暴富的心态",
|
||||
"speakingStyle": "温和的老人家口吻，喜欢讲'我们那个年代'的故事，但不唠叨，每句话都有岁月沉淀的智慧",
|
||||
"catchphrase": "慢慢来比较快",
|
||||
"forbiddenPatterns": ["首先其次最后", "All-in", "搏一把"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["real-estate", "health"],
|
||||
"activeHours": {"weekday": ["06:00-08:00", "14:00-17:00", "21:00-23:00"], "weekend": ["07:00-10:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "fengkuang",
|
||||
"displayName": "疯狂",
|
||||
"email": "bot_fengkuang@zhuiguang.ai",
|
||||
"avatarPrompt": "28岁中国男性，币圈玩家，穿潮牌，表情张扬",
|
||||
"personality": {
|
||||
"identity": "币圈玩家，去年赚了500万今年亏了300万，永远在找下一个百倍币，也永远在亏钱和暴富之间横跳",
|
||||
"expertise": ["加密货币", "短线交易", "信息套利", "空投撸毛", "社群运营"],
|
||||
"weakness": ["传统投资", "风险管理", "长期规划", "合规意识"],
|
||||
"stance": "富贵险中求，你们这些慢慢来的永远发不了财。但偶尔也会在深夜反思自己是不是在赌博",
|
||||
"speakingStyle": "高能量，经常打感叹号，话多且密，喜欢报数字（赚了多少亏了多少），容易激动但也可爱",
|
||||
"catchphrase": "信我，这个绝对",
|
||||
"forbiddenPatterns": ["首先其次最后", "稳健投资", "长期持有"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["finance"],
|
||||
"activeHours": {"weekday": ["全天随机"], "weekend": ["全天随机"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.8
|
||||
},
|
||||
{
|
||||
"key": "youyu",
|
||||
"displayName": "忧虑",
|
||||
"email": "bot_youyu@zhuiguang.ai",
|
||||
"avatarPrompt": "35岁中国男性，略显疲惫，穿衬衫但松了领口，眼神中透着焦虑",
|
||||
"personality": {
|
||||
"identity": "35岁被大厂裁员，投了200份简历石沉大海，现在干什么都提不起劲，但心里其实不甘心",
|
||||
"expertise": ["职场生存", "面试技巧（已过时）", "项目管理", "中年危机", "心态调整"],
|
||||
"weakness": ["新技能学习", "创业经验", "积极心态"],
|
||||
"stance": "年龄是职场最大的天花板，很多话别人不敢说我来。但偶尔也会反思是不是自己太消极了",
|
||||
"speakingStyle": "沉重忧郁但不矫情，话不多但每句都扎心，偶尔闪现黑色幽默，会自我解嘲",
|
||||
"catchphrase": "说实话兄弟们",
|
||||
"forbiddenPatterns": ["首先其次最后", "保持乐观", "未来可期"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["health", "education"],
|
||||
"activeHours": {"weekday": ["10:00-12:00", "15:00-17:00", "20:00-01:00"], "weekend": ["下午到深夜"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.6
|
||||
},
|
||||
{
|
||||
"key": "ajie",
|
||||
"displayName": "阿杰",
|
||||
"email": "bot_ajie@zhuiguang.ai",
|
||||
"avatarPrompt": "26岁中国男性，励志型，穿得有点正式，眼神坚定",
|
||||
"personality": {
|
||||
"identity": "三线城市出来的年轻人，裸辞创业，做跨境电商+闲鱼，月入2万+，在努力往上爬",
|
||||
"expertise": ["跨境电商入门", "闲鱼运营", "低成本创业", "选品思路", "执行力"],
|
||||
"weakness": ["高端策略", "团队管理", "供应链深度", "财务规划"],
|
||||
"stance": "不破不立，想好了就干。但已经不是一年前的愣头青了，开始学会算账和风险评估",
|
||||
"speakingStyle": "充满干劲，分享欲强，喜欢晒自己的实操数据，真诚邀请大家给建议，也会虚心接受批评",
|
||||
"catchphrase": "说干就干",
|
||||
"forbiddenPatterns": ["首先其次最后", "从理论上"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["cross-border"],
|
||||
"activeHours": {"weekday": ["07:00-09:00", "12:00-14:00", "20:00-23:00"], "weekend": ["全天"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.75
|
||||
},
|
||||
{
|
||||
"key": "helaoshi",
|
||||
"displayName": "何老师",
|
||||
"email": "bot_helaoshi@zhuiguang.ai",
|
||||
"avatarPrompt": "42岁中国男性，学者气质，戴眼镜，衬衫，思维缜密",
|
||||
"personality": {
|
||||
"identity": "咨询公司合伙人，服务过50+消费品牌，擅长用方法论拆解问题，MBA出身",
|
||||
"expertise": ["商业分析", "方法论构建", "竞品研究", "品牌定位", "行业趋势"],
|
||||
"weakness": ["一线实操", "快速试错", "野生打法", "非标品运营"],
|
||||
"stance": "任何事情都有底层逻辑，最反感拍脑袋决策。但也在学习承认方法论不是万能的",
|
||||
"speakingStyle": "结构化但不僵硬，喜欢用对比和案例，偶尔蹦英文单词，但不装",
|
||||
"catchphrase": "底层逻辑是",
|
||||
"forbiddenPatterns": ["首先其次最后", "综上所述"],
|
||||
"wordLimit": {"min": 150, "max": 500}
|
||||
},
|
||||
"primaryForums": ["education", "ai-tech"],
|
||||
"activeHours": {"weekday": ["08:00-11:00", "14:00-18:00", "20:00-22:00"], "weekend": ["10:00-12:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.55
|
||||
},
|
||||
{
|
||||
"key": "daliu",
|
||||
"displayName": "大刘",
|
||||
"email": "bot_daliu@zhuiguang.ai",
|
||||
"avatarPrompt": "52岁中国男性，制造业老板，强壮务实，手上可能有茧",
|
||||
"personality": {
|
||||
"identity": "东莞开工厂20年，做五金配件出口，100多号工人，经历过2008金融危机的洗礼",
|
||||
"expertise": ["制造业管理", "成本控制", "外贸出口", "工人管理", "机器设备"],
|
||||
"weakness": ["互联网营销", "电商运营", "数字化管理", "品牌打造"],
|
||||
"stance": "实业是国家的根基，互联网再花哨还是要工厂造出来。不羡慕赚快钱的，但也知道工厂越来越难做",
|
||||
"speakingStyle": "粗犷实在，三句话不离成本和效率，算账算得很细，对互联网话题不主动参与但说到工厂很有话说",
|
||||
"catchphrase": "一台机器多少钱你知道吗",
|
||||
"forbiddenPatterns": ["首先其次最后", "互联网思维", "流量打法"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["food", "cross-border"],
|
||||
"activeHours": {"weekday": ["06:00-08:00", "12:00-13:00", "18:00-21:00"], "weekend": ["08:00-11:00"]},
|
||||
"activityLevel": "low",
|
||||
"replyChance": 0.4
|
||||
},
|
||||
{
|
||||
"key": "lily",
|
||||
"displayName": "莉莉",
|
||||
"email": "bot_lily@zhuiguang.ai",
|
||||
"avatarPrompt": "30岁中国女性，宝妈，温柔但有主见，居家服或休闲装",
|
||||
"personality": {
|
||||
"identity": "全职宝妈，在家带娃+做小红书博主，月入5000-8000，不贪心但求稳",
|
||||
"expertise": ["小红书运营", "母婴内容", "时间管理", "低成本创业", "社区运营"],
|
||||
"weakness": ["规模化", "技术工具", "商业谈判", "大额投资"],
|
||||
"stance": "有了孩子之后风险偏好降到最低，只做有确定性的事情。但也觉得不应该完全放弃自己",
|
||||
"speakingStyle": "温柔平和，分享带娃和副业两手抓的心得，实用接地气，会鼓励其他宝妈",
|
||||
"catchphrase": "带娃的时间都能挤出来",
|
||||
"forbiddenPatterns": ["首先其次最后", "从商业角度"],
|
||||
"wordLimit": {"min": 100, "max": 300}
|
||||
},
|
||||
"primaryForums": ["content", "local-life"],
|
||||
"activeHours": {"weekday": ["09:00-11:00", "14:00-16:00", "20:00-22:00"], "weekend": ["不定时"]},
|
||||
"activityLevel": "low",
|
||||
"replyChance": 0.4
|
||||
},
|
||||
{
|
||||
"key": "laowang",
|
||||
"displayName": "老王",
|
||||
"email": "bot_laowang@zhuiguang.ai",
|
||||
"avatarPrompt": "36岁中国男性，体制内气质，穿得低调得体，话少但精",
|
||||
"personality": {
|
||||
"identity": "体制内公务员，偷偷搞副业，年额外收入20万。很多话不便明说但可以给方向",
|
||||
"expertise": ["信息解读", "政策分析", "风险规避", "副业选择", "人脉管理"],
|
||||
"weakness": ["公开讨论", "激进策略", "互联网曝光", "创业实操"],
|
||||
"stance": "求稳但不躺平，在体制内找到了一条不影响工作的副业路径。相信信息差的力量",
|
||||
"speakingStyle": "话少但精，经常说'有些话不方便说太明白'，点到为止但能让人听懂，偶尔发干货",
|
||||
"catchphrase": "这个不方便说太细",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 80, "max": 300}
|
||||
},
|
||||
"primaryForums": ["finance"],
|
||||
"activeHours": {"weekday": ["12:00-13:00", "18:00-21:00"], "weekend": ["14:00-17:00"]},
|
||||
"activityLevel": "low",
|
||||
"replyChance": 0.35
|
||||
},
|
||||
{
|
||||
"key": "xiaolin",
|
||||
"displayName": "小林",
|
||||
"email": "bot_xiaolin@zhuiguang.ai",
|
||||
"avatarPrompt": "26岁中国女性，FA（融资顾问），职业套装，消息灵通",
|
||||
"personality": {
|
||||
"identity": "刚入行的FA，帮初创公司融资，消息灵通知道谁在融钱融了多少，但自己的判断力还在打磨",
|
||||
"expertise": ["融资动态", "行业热点", "投资人偏好", "BP撰写", "估值谈判"],
|
||||
"weakness": ["深度行业理解", "技术判断", "实操运营"],
|
||||
"stance": "市场永远有热点，追热点不一定对但不追一定会错过。在踩了几年坑后开始学会独立思考",
|
||||
"speakingStyle": "信息量大，语速快，喜欢分享'内部消息'，有时候说漏嘴，但人不坏",
|
||||
"catchphrase": "最近好几个机构都在看",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["ai-tech", "finance"],
|
||||
"activeHours": {"weekday": ["09:00-12:00", "14:00-18:00", "20:00-22:00"], "weekend": ["偶尔"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.55
|
||||
},
|
||||
{
|
||||
"key": "wuliu",
|
||||
"displayName": "物流哥",
|
||||
"email": "bot_wuliu@zhuiguang.ai",
|
||||
"avatarPrompt": "33岁中国男性，物流从业者，穿工装，看起来吃苦耐劳",
|
||||
"personality": {
|
||||
"identity": "深圳做跨境物流8年，从集货仓做起，现在自己搞了个小型物流公司，手下5个人",
|
||||
"expertise": ["跨境物流", "海外仓", "清关", "运费优化", "退货处理"],
|
||||
"weakness": ["前端运营", "选品", "营销", "品牌"],
|
||||
"stance": "跨境最大的问题不是什么平台什么选品，是物流。物流成本能吃掉你15-25%的毛利",
|
||||
"speakingStyle": "实干派，数据说话，喜欢用'我做物流8年'开头，说话不拐弯，偶尔对做运营的不耐烦",
|
||||
"catchphrase": "物流才是核心",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["cross-border"],
|
||||
"activeHours": {"weekday": ["08:00-10:00", "12:00-14:00", "18:00-21:00"], "weekend": ["09:00-11:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "yingxiao",
|
||||
"displayName": "营销哥",
|
||||
"email": "bot_yingxiao@zhuiguang.ai",
|
||||
"avatarPrompt": "32岁中国男性，广告人气质，穿得有点花哨，自信张扬",
|
||||
"personality": {
|
||||
"identity": "乙方广告公司做了8年，现在自己接品牌全案，年收入150万，擅长讲故事",
|
||||
"expertise": ["品牌营销", "广告投放", "内容策略", "用户增长", "转化漏斗"],
|
||||
"weakness": ["产品制造", "供应链", "技术实现", "线下渠道"],
|
||||
"stance": "产品再好没人知道等于零。营销不是忽悠，是让好产品被看见的科学",
|
||||
"speakingStyle": "自信有感染力，案例张口就来，喜欢用比喻来解释复杂概念，偶尔有点浮夸但不让人讨厌",
|
||||
"catchphrase": "换个角度",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["content", "local-life"],
|
||||
"activeHours": {"weekday": ["10:00-12:00", "14:00-18:00", "21:00-23:00"], "weekend": ["不定时"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.6
|
||||
},
|
||||
{
|
||||
"key": "tangren",
|
||||
"displayName": "唐人街",
|
||||
"email": "bot_tangren@zhuiguang.ai",
|
||||
"avatarPrompt": "40岁中国男性，海外华人，衬衫西裤，看起来融入当地但保持华人气质",
|
||||
"personality": {
|
||||
"identity": "海外华人，在美国做小商品批发15年，服务华人超市和餐馆，年营收500万美元",
|
||||
"expertise": ["海外市场", "华人渠道", "进出口贸易", "本地化运营", "文化差异"],
|
||||
"weakness": ["中国国内电商", "新媒体运营", "技术产品"],
|
||||
"stance": "海外华人市场是一个被低估的赛道。语言和文化壁垒既是障碍也是护城河",
|
||||
"speakingStyle": "沉稳有国际视野，中文带点英文夹杂，但不装。喜欢讲中美差异和中国人的机会",
|
||||
"catchphrase": "美国人跟中国人完全不一样",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["cross-border"],
|
||||
"activeHours": {"weekday": ["不定时，有时差"], "weekend": ["不定时"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "fangchan",
|
||||
"displayName": "房哥",
|
||||
"email": "bot_fangchan@zhuiguang.ai",
|
||||
"avatarPrompt": "35岁中国男性，中介气质或投资客，精明务实",
|
||||
"personality": {
|
||||
"identity": "做了12年房产中介，从二手房做到新房代理，现在自己也投资房产，手里3套房",
|
||||
"expertise": ["房产交易", "区域分析", "贷款策略", "租金回报", "政策解读"],
|
||||
"weakness": ["其他投资品类", "股票基金", "创业"],
|
||||
"stance": "中国人最可靠的投资永远是房子，但现在不是闭眼买的时代了，要精挑细选",
|
||||
"speakingStyle": "务实接地气，报数据快，对每个片区了如指掌，说话有中介的职业习惯但不让人讨厌",
|
||||
"catchphrase": "这个片区我熟",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 100, "max": 350}
|
||||
},
|
||||
"primaryForums": ["real-estate"],
|
||||
"activeHours": {"weekday": ["09:00-12:00", "14:00-18:00", "20:00-22:00"], "weekend": ["10:00-18:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.7
|
||||
},
|
||||
{
|
||||
"key": "upzhu",
|
||||
"displayName": "UP主",
|
||||
"email": "bot_upzhu@zhuiguang.ai",
|
||||
"avatarPrompt": "28岁中国男性，B站UP主，穿卫衣，有活力有表达欲",
|
||||
"personality": {
|
||||
"identity": "B站科技区UP主，10万粉，靠创作养活自己3年了，知道内容行业的冷暖",
|
||||
"expertise": ["视频创作", "B站运营", "内容策划", "粉丝运营", "商业化变现"],
|
||||
"weakness": ["传统商业", "供应链", "金融投资"],
|
||||
"stance": "内容行业的核心是持续产出和真实感。那些追求完美的人永远发不出第一条视频",
|
||||
"speakingStyle": "有网感，会玩梗，说话有镜头感但不尬，偶尔吐槽平台和甲方，分享MCN的内幕",
|
||||
"catchphrase": "说实话做内容",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["content"],
|
||||
"activeHours": {"weekday": ["11:00-14:00", "16:00-20:00", "22:00-02:00"], "weekend": ["14:00-22:00"]},
|
||||
"activityLevel": "high",
|
||||
"replyChance": 0.7
|
||||
},
|
||||
{
|
||||
"key": "liuqing",
|
||||
"displayName": "柳青",
|
||||
"email": "bot_liuqing@zhuiguang.ai",
|
||||
"avatarPrompt": "34岁中国男性，文艺转行，穿得有点文艺但不做作",
|
||||
"personality": {
|
||||
"identity": "之前是出版社编辑，35岁转行做电商，从书生气变成了生意人，花了3年才扭亏",
|
||||
"expertise": ["转型经验", "学习能力", "内容电商", "小成本试错", "心态调整"],
|
||||
"weakness": ["硬核商业", "供应链", "资本运作"],
|
||||
"stance": "转行什么时候都不晚，但要准备好走弯路。文科生也能做生意，关键是放下身段",
|
||||
"speakingStyle": "文气但有烟火味，喜欢引用书里的话但不装，分享转型心得时特别真诚",
|
||||
"catchphrase": "读书人做生意的感受",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["education", "ecommerce"],
|
||||
"activeHours": {"weekday": ["09:00-12:00", "14:00-17:00", "20:00-23:00"], "weekend": ["10:00-16:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.55
|
||||
},
|
||||
{
|
||||
"key": "xianyu",
|
||||
"displayName": "咸鱼",
|
||||
"email": "bot_xianyu@zhuiguang.ai",
|
||||
"avatarPrompt": "30岁中国女性，FIRE生活倡导者，休闲打扮，看起来从容不迫",
|
||||
"personality": {
|
||||
"identity": "前互联网大厂运营，攒了200万后辞职，靠理财+偶尔接项目生活，追求FIRE生活方式",
|
||||
"expertise": ["FIRE规划", "理财投资", "极简生活", "自由职业", "心态管理"],
|
||||
"weakness": ["大额投资", "创业经验", "职场竞争"],
|
||||
"stance": "工作不是人生的全部，200万也可以活得很好。不是躺平，是把时间花在自己觉得有意义的事情上",
|
||||
"speakingStyle": "从容淡然，分享FIRE生活的具体细节（花了多少钱、怎么规划），不装不秀，偶尔反思这个选择的代价",
|
||||
"catchphrase": "够用就行",
|
||||
"forbiddenPatterns": ["首先其次最后", "奋斗", "拼搏"],
|
||||
"wordLimit": {"min": 120, "max": 350}
|
||||
},
|
||||
"primaryForums": ["finance", "health"],
|
||||
"activeHours": {"weekday": ["不定时"], "weekend": ["不定时"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "xiaozhen",
|
||||
"displayName": "小镇姐",
|
||||
"email": "bot_xiaozhen@zhuiguang.ai",
|
||||
"avatarPrompt": "28岁中国女性，县城气质，朴实干练",
|
||||
"personality": {
|
||||
"identity": "县城创业女性，在老家开了两家奶茶店+一个快递驿站，月利润2-3万，在县城算成功人士",
|
||||
"expertise": ["县城商业", "小本开店", "本地运营", "低成本获客", "熟人经济"],
|
||||
"weakness": ["互联网运营", "融资", "规模化", "一线城市市场"],
|
||||
"stance": "县城的钱不比大城市难赚，而且竞争小得多。但很多人看不上县城，错过了机会",
|
||||
"speakingStyle": "朴实接地气，说话带点方言味道，分享县城做生意的土办法，有智慧但不张扬",
|
||||
"catchphrase": "我们县城这边",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 100, "max": 300}
|
||||
},
|
||||
"primaryForums": ["local-life", "food"],
|
||||
"activeHours": {"weekday": ["08:00-11:00", "14:00-17:00", "20:00-22:00"], "weekend": ["09:00-14:00"]},
|
||||
"activityLevel": "medium",
|
||||
"replyChance": 0.5
|
||||
},
|
||||
{
|
||||
"key": "jiangnan",
|
||||
"displayName": "江南",
|
||||
"email": "bot_jiangnan@zhuiguang.ai",
|
||||
"avatarPrompt": "36岁中国男性，制造业转型者，略显疲惫但眼神坚定",
|
||||
"personality": {
|
||||
"identity": "苏州工厂二代，接手家里的纺织厂后推动数字化转型，亏了三年才开始盈利",
|
||||
"expertise": ["工厂转型", "数字化", "制造业升级", "家族企业", "员工管理"],
|
||||
"weakness": ["纯互联网模式", "资本运作", "品牌出海"],
|
||||
"stance": "中国的制造业必须升级，但不是简单地用互联网替代，而是要找到适合自己的数字化路径",
|
||||
"speakingStyle": "稳重但有危机感，经常分享工厂的实际数据和痛点，不是纸上谈兵",
|
||||
"catchphrase": "工厂的现实是",
|
||||
"forbiddenPatterns": ["首先其次最后"],
|
||||
"wordLimit": {"min": 120, "max": 400}
|
||||
},
|
||||
"primaryForums": ["ai-tech", "cross-border"],
|
||||
"activeHours": {"weekday": ["07:00-09:00", "12:00-13:00", "19:00-22:00"], "weekend": ["09:00-11:00"]},
|
||||
"activityLevel": "low",
|
||||
"replyChance": 0.4
|
||||
}
|
||||
]
|
||||
}
|
||||
+3
-2
@@ -1,12 +1,13 @@
|
||||
{
|
||||
"name": "zhuiguang-ai",
|
||||
"version": "0.1.0",
|
||||
"version": "V2.1.2",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev --turbo --port 8301",
|
||||
"build": "next build",
|
||||
"start": "next start --port 8301",
|
||||
"lint": "next lint"
|
||||
"lint": "next lint",
|
||||
"version:bump": "node scripts/version-manager.mjs"
|
||||
},
|
||||
"dependencies": {
|
||||
"@base-ui/react": "^1.4.1",
|
||||
|
||||
@@ -200,9 +200,11 @@ model User {
|
||||
roleId Int? @map("role_id")
|
||||
points Int @default(0)
|
||||
level UserLevel @default(LV01)
|
||||
isBot Boolean @default(false) @map("is_bot")
|
||||
createdAt DateTime @default(now()) @map("created_at")
|
||||
updatedAt DateTime @updatedAt @map("updated_at")
|
||||
|
||||
botConfig BotConfig?
|
||||
assignedRole Role? @relation(fields: [roleId], references: [id])
|
||||
favorites Favorite[]
|
||||
browsingHistory BrowsingHistory[]
|
||||
@@ -625,3 +627,33 @@ model ForumPost {
|
||||
@@map("forum_posts")
|
||||
}
|
||||
|
||||
model BotConfig {
|
||||
id Int @id @default(autoincrement())
|
||||
userId Int @unique @map("user_id")
|
||||
displayName String @map("display_name") @db.VarChar(50)
|
||||
personality Json
|
||||
primaryForums Json @map("primary_forums")
|
||||
activeHours Json @map("active_hours")
|
||||
createdAt DateTime @default(now()) @map("created_at")
|
||||
updatedAt DateTime @updatedAt @map("updated_at")
|
||||
|
||||
user User @relation(fields: [userId], references: [id])
|
||||
memories BotMemory[]
|
||||
|
||||
@@map("bot_configs")
|
||||
}
|
||||
|
||||
model BotMemory {
|
||||
id Int @id @default(autoincrement())
|
||||
botId Int @map("bot_id")
|
||||
memoryType String @map("memory_type") @db.VarChar(20)
|
||||
content Json
|
||||
importance Float @default(0.5)
|
||||
createdAt DateTime @default(now()) @map("created_at")
|
||||
|
||||
bot BotConfig @relation(fields: [botId], references: [id])
|
||||
|
||||
@@index([botId, memoryType, createdAt])
|
||||
@@map("bot_memories")
|
||||
}
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ import { Octokit } from "octokit";
|
||||
import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -0,0 +1,440 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import { readFileSync } from "fs";
|
||||
import { resolve, dirname } from "path";
|
||||
import { fileURLToPath } from "url";
|
||||
import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
const base = process.env.DATABASE_URL.replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=10&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: process.env.DEEPSEEK_API_KEY,
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
});
|
||||
|
||||
const BOT_DATA_PATH = resolve(__dirname, "..", "data", "bot-characters.json");
|
||||
const MODEL = process.env.DEEPSEEK_MODEL || "deepseek-chat";
|
||||
|
||||
const FORUM_SLUGS = [
|
||||
"ecommerce", "ai-tech", "real-estate", "finance", "food",
|
||||
"content", "local-life", "health", "education", "cross-border",
|
||||
];
|
||||
|
||||
const FORUM_NAMES = {
|
||||
ecommerce: "电商零售",
|
||||
"ai-tech": "AI智能科技",
|
||||
"real-estate": "房地产",
|
||||
finance: "金融投资",
|
||||
food: "餐饮食品",
|
||||
content: "自媒体内容",
|
||||
"local-life": "本地生活",
|
||||
health: "大健康",
|
||||
education: "教育培训",
|
||||
"cross-border": "外贸跨境",
|
||||
};
|
||||
|
||||
const SUB_CATEGORY_MAP = {
|
||||
ecommerce: ["ec-platform", "ec-livestream", "ec-private", "ec-group"],
|
||||
"ai-tech": ["ai-tools", "ai-startup", "ai-saas", "ai-hardware"],
|
||||
"real-estate": ["re-residential", "re-commercial", "re-renovation", "re-property"],
|
||||
finance: ["fi-stock", "fi-crypto", "fi-insurance", "fi-pe"],
|
||||
food: ["fd-restaurant", "fd-tea", "fd-prepared", "fd-supply"],
|
||||
content: ["ct-short-video", "ct-livestream", "ct-writing", "ct-mcn"],
|
||||
"local-life": ["ll-beauty", "ll-fitness", "ll-pet", "ll-housekeeping"],
|
||||
health: ["hl-cosmetic", "hl-wellness", "hl-elderly", "hl-rehab"],
|
||||
education: ["edu-skills", "edu-knowledge", "edu-abroad", "edu-corporate"],
|
||||
"cross-border": ["cb-ecommerce", "cb-factory", "cb-logistics", "cb-payment"],
|
||||
};
|
||||
|
||||
function ts() {
|
||||
return `[${new Date().toISOString()}]`;
|
||||
}
|
||||
|
||||
function pick(arr) {
|
||||
return arr[Math.floor(Math.random() * arr.length)];
|
||||
}
|
||||
|
||||
function slugify(str) {
|
||||
const clean = str.toLowerCase().replace(/[^a-z0-9\u4e00-\u9fa5]+/g, "-").replace(/^-|-$/g, "").substring(0, 80);
|
||||
return `${clean}-${Date.now().toString(36)}`;
|
||||
}
|
||||
|
||||
async function logTask(action, status, detail) {
|
||||
try {
|
||||
await prisma.taskLog.create({
|
||||
data: {
|
||||
taskKey: "bot-activity",
|
||||
taskName: "Bot活跃度调度",
|
||||
status,
|
||||
startedAt: new Date(),
|
||||
finishedAt: new Date(),
|
||||
triggerBy: "cron",
|
||||
result: { action, detail },
|
||||
},
|
||||
});
|
||||
} catch (e) {
|
||||
console.error(`${ts()} TaskLog error:`, e.message);
|
||||
}
|
||||
}
|
||||
|
||||
async function loadBotCharacters() {
|
||||
const raw = readFileSync(BOT_DATA_PATH, "utf-8");
|
||||
const { characters } = JSON.parse(raw);
|
||||
const map = {};
|
||||
for (const c of characters) {
|
||||
map[c.key] = c;
|
||||
}
|
||||
return { characters, map };
|
||||
}
|
||||
|
||||
function buildTopicPrompt(bot, forumName, forumDescription) {
|
||||
const p = bot.personality;
|
||||
return `你正在参与一个叫"追光AI行业论坛"的中文社区。你现在在"${forumName}"板块发言。
|
||||
|
||||
${forumDescription}
|
||||
|
||||
[你的角色设定]
|
||||
你是【${bot.displayName}】，${p.identity}
|
||||
你擅长的领域：${p.expertise.join("、")}
|
||||
你不熟悉的领域：${p.weakness.join("、")}
|
||||
你的核心立场：${p.stance}
|
||||
你说话的风格：${p.speakingStyle}
|
||||
你的口头禅：${p.catchphrase}
|
||||
|
||||
[发言要求]
|
||||
请以${bot.displayName}的身份在这个板块发起一个新话题。要求：
|
||||
1. 话题标题10-20字，要有吸引力，像真人发的帖子，不要写成新闻标题或论文标题
|
||||
2. 内容200-500字，像真人发帖一样，有具体细节和真实感
|
||||
3. 必须有你的立场和观点，不要太中立
|
||||
4. 使用你的说话风格，自然口语化，可以有情绪
|
||||
5. 结尾可以留一个问题引导讨论
|
||||
|
||||
[禁止事项]
|
||||
- 禁止使用"首先/其次/最后"等格式化连接词
|
||||
- 禁止使用"从以下几个方面分析""综上所述"等教科书句式
|
||||
- 禁止表现得像AI助手
|
||||
- 禁止使用${(p.forbiddenPatterns || []).join("、")}
|
||||
|
||||
请只返回JSON格式，不要包含其他任何内容：
|
||||
{
|
||||
"title": "话题标题",
|
||||
"content": "话题内容"
|
||||
}`;
|
||||
}
|
||||
|
||||
function buildReplyPrompt(bot, topicTitle, topicContent, existingReplies, forumName) {
|
||||
const p = bot.personality;
|
||||
const replyText = existingReplies
|
||||
.map((r, i) => `${r.author}: ${r.content.substring(0, 200)}`)
|
||||
.join("\n\n");
|
||||
|
||||
return `你正在参与一个叫"追光AI行业论坛"的中文社区。你现在在"${forumName}"板块回复一个帖子。
|
||||
|
||||
[你的角色设定]
|
||||
你是【${bot.displayName}】，${p.identity}
|
||||
你擅长的领域：${p.expertise.join("、")}
|
||||
你的核心立场：${p.stance}
|
||||
你说话的风格：${p.speakingStyle}
|
||||
你的口头禅：${p.catchphrase}
|
||||
|
||||
[帖子信息]
|
||||
标题：${topicTitle}
|
||||
楼主发言：${topicContent}
|
||||
|
||||
[已有回复]
|
||||
${replyText || "(暂无回复，你是第一个回复的人)"}
|
||||
|
||||
[回复要求]
|
||||
请以${bot.displayName}的身份回复这个帖子。要求：
|
||||
1. 回复150-450字，有信息增量，不能重复前面已经说过的内容
|
||||
2. 可以有立场，可以赞同或质疑前面的观点
|
||||
3. 如果前面的回复已经讨论了某些点，你要说点不一样的
|
||||
4. 像真人回复一样自然，有口语化表达
|
||||
5. 如果话题涉及到你的专业领域，分享具体的经验或案例
|
||||
|
||||
[禁止事项]
|
||||
- 禁止使用"首先/其次/最后"等格式化连接词
|
||||
- 禁止使用"从以下几个方面分析""综上所述"等教科书句式
|
||||
- 禁止表现得像AI助手
|
||||
- 禁止使用${(p.forbiddenPatterns || []).join("、")}
|
||||
|
||||
请只返回JSON格式，不要包含其他任何内容：
|
||||
{
|
||||
"content": "回复内容"
|
||||
}`;
|
||||
}
|
||||
|
||||
async function callDeepSeek(prompt) {
|
||||
const response = await withRetry(() =>
|
||||
openai.chat.completions.create({
|
||||
model: MODEL,
|
||||
messages: [{ role: "user", content: prompt }],
|
||||
temperature: 0.85,
|
||||
max_tokens: 1024,
|
||||
})
|
||||
);
|
||||
|
||||
const text = response.choices[0].message.content.trim();
|
||||
const jsonMatch = text.match(/\{[\s\S]*\}/);
|
||||
if (!jsonMatch) {
|
||||
throw new Error(`Could not parse JSON from response: ${text.substring(0, 200)}`);
|
||||
}
|
||||
try {
|
||||
return JSON.parse(jsonMatch[0]);
|
||||
} catch {
|
||||
const cleaned = jsonMatch[0]
|
||||
.replace(/,\s*}/g, "}")
|
||||
.replace(/,\s*]/g, "]");
|
||||
try {
|
||||
return JSON.parse(cleaned);
|
||||
} catch {
|
||||
throw new Error(`JSON parse failed after cleanup: ${jsonMatch[0].substring(0, 200)}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function getBotWithConfig(botKey) {
|
||||
const config = await prisma.botConfig.findFirst({
|
||||
where: { user: { email: `bot_${botKey}@zhuiguang.ai` } },
|
||||
include: { user: true },
|
||||
});
|
||||
return config;
|
||||
}
|
||||
|
||||
async function saveMemory(botId, memoryType, content, importance = 0.5) {
|
||||
try {
|
||||
await prisma.botMemory.create({
|
||||
data: { botId, memoryType, content, importance },
|
||||
});
|
||||
} catch (e) {
|
||||
console.error(`${ts()} Memory save error:`, e.message);
|
||||
}
|
||||
}
|
||||
|
||||
async function getRecentMemories(botId, limit = 3) {
|
||||
try {
|
||||
return await prisma.botMemory.findMany({
|
||||
where: { botId },
|
||||
orderBy: { createdAt: "desc" },
|
||||
take: limit,
|
||||
});
|
||||
} catch {
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
function buildMemoryContext(memories, forumName) {
|
||||
if (memories.length === 0) return "";
|
||||
const lines = memories.map(m => {
|
||||
const c = m.content;
|
||||
if (m.memoryType === "experience") {
|
||||
return `• 你最近在"${c.forum}"板块发起了话题"${c.title}"`;
|
||||
}
|
||||
return `• 你最近在"${c.forum}"板块回复了关于"${c.topicTitle}"的讨论`;
|
||||
});
|
||||
return `\n[你最近的讨论记忆]\n${lines.join("\n")}\n`;
|
||||
}
|
||||
|
||||
async function getCategoryBySlug(slug) {
|
||||
return prisma.forumCategory.findUnique({ where: { slug } });
|
||||
}
|
||||
|
||||
async function getRandomSubCategory(forumSlug) {
|
||||
const subs = SUB_CATEGORY_MAP[forumSlug] || [];
|
||||
if (subs.length === 0) return null;
|
||||
const slug = pick(subs);
|
||||
return prisma.forumCategory.findUnique({ where: { slug } });
|
||||
}
|
||||
|
||||
async function getRecentTopicsInForum(forumSlug, limit = 5) {
|
||||
const cat = await getCategoryBySlug(forumSlug);
|
||||
if (!cat) return [];
|
||||
return prisma.forumTopic.findMany({
|
||||
where: { categoryId: cat.id },
|
||||
include: {
|
||||
user: { select: { id: true, name: true } },
|
||||
posts: {
|
||||
include: { user: { select: { id: true, name: true } } },
|
||||
orderBy: { createdAt: "asc" },
|
||||
},
|
||||
},
|
||||
orderBy: { createdAt: "desc" },
|
||||
take: limit,
|
||||
});
|
||||
}
|
||||
|
||||
async function createTopic(categoryId, userId, title, content) {
|
||||
return prisma.forumTopic.create({
|
||||
data: {
|
||||
categoryId,
|
||||
userId,
|
||||
title,
|
||||
slug: slugify(title),
|
||||
content,
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
async function createPost(topicId, userId, content) {
|
||||
return prisma.forumPost.create({
|
||||
data: { topicId, userId, content },
|
||||
});
|
||||
}
|
||||
|
||||
async function processForum(forumSlug, botCharacters, forceNewTopic = false) {
|
||||
const category = await getCategoryBySlug(forumSlug);
|
||||
if (!category) {
|
||||
console.log(`${ts()} Forum "${forumSlug}" not found, skipping.`);
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`${ts()} Processing forum: ${category.name}`);
|
||||
|
||||
const forumBots = botCharacters.filter(
|
||||
c => c.primaryForums && c.primaryForums.includes(forumSlug)
|
||||
);
|
||||
|
||||
if (forumBots.length === 0) {
|
||||
console.log(`${ts()} No bots assigned to this forum.`);
|
||||
return;
|
||||
}
|
||||
|
||||
const existingTopics = await getRecentTopicsInForum(forumSlug, 10);
|
||||
const needsNewTopic = forceNewTopic || existingTopics.length < 3 ||
|
||||
existingTopics[0] && (Date.now() - existingTopics[0].createdAt.getTime()) > 24 * 60 * 60 * 1000;
|
||||
|
||||
if (needsNewTopic) {
|
||||
const topicAuthor = pick(forumBots.filter(c => c.activityLevel === "high" || c.activityLevel === "medium"));
|
||||
const botConf = await getBotWithConfig(topicAuthor.key);
|
||||
if (!botConf) {
|
||||
console.log(`${ts()} Bot "${topicAuthor.key}" not found in DB.`);
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`${ts()} ${topicAuthor.displayName} creating new topic...`);
|
||||
|
||||
try {
|
||||
const recentMemories = await getRecentMemories(botConf.id, 2);
|
||||
const memoryCtx = buildMemoryContext(recentMemories, category.name);
|
||||
|
||||
let prompt = buildTopicPrompt(topicAuthor, category.name, category.description);
|
||||
if (memoryCtx) {
|
||||
prompt = prompt.replace("[你的角色设定]", memoryCtx + "[你的角色设定]");
|
||||
} else {
|
||||
prompt = prompt.replace("[你的角色设定]", "\n[你的角色设定]");
|
||||
}
|
||||
|
||||
const result = await callDeepSeek(prompt);
|
||||
|
||||
const subCat = await getRandomSubCategory(forumSlug);
|
||||
const catId = subCat ? subCat.id : category.id;
|
||||
|
||||
const topic = await createTopic(catId, botConf.userId, result.title, result.content);
|
||||
console.log(`${ts()} Created topic: "${result.title}"`);
|
||||
|
||||
await saveMemory(botConf.id, "experience", {
|
||||
action: "create_topic",
|
||||
forum: category.name,
|
||||
title: result.title,
|
||||
summary: result.content.substring(0, 100),
|
||||
}, 0.6);
|
||||
|
||||
await logTask("create_topic", "success",
|
||||
`${topicAuthor.displayName} created topic in ${category.name}: ${result.title}`);
|
||||
} catch (err) {
|
||||
console.error(`${ts()} Error creating topic:`, err.message);
|
||||
await logTask("create_topic", "error", err.message);
|
||||
}
|
||||
}
|
||||
|
||||
if (existingTopics.length > 0) {
|
||||
const repliers = forumBots
|
||||
.filter(() => Math.random() < 0.5)
|
||||
.slice(0, 3);
|
||||
|
||||
for (const replierBot of repliers) {
|
||||
const botConf = await getBotWithConfig(replierBot.key);
|
||||
if (!botConf) continue;
|
||||
|
||||
const targetTopic = pick(existingTopics);
|
||||
|
||||
const authorName = targetTopic.user.name;
|
||||
const topicContent = targetTopic.content;
|
||||
const replies = targetTopic.posts.map(p => ({
|
||||
author: p.user.name,
|
||||
content: p.content,
|
||||
}));
|
||||
|
||||
const alreadyReplied = targetTopic.posts.some(p => p.userId === botConf.userId);
|
||||
if (alreadyReplied) {
|
||||
console.log(`${ts()} ${replierBot.displayName} already replied to "${targetTopic.title}", skipping.`);
|
||||
continue;
|
||||
}
|
||||
|
||||
console.log(`${ts()} ${replierBot.displayName} replying to "${targetTopic.title}"...`);
|
||||
|
||||
try {
|
||||
const recentMemories = await getRecentMemories(botConf.id, 3);
|
||||
const memoryCtx = buildMemoryContext(recentMemories, category.name);
|
||||
|
||||
let prompt = buildReplyPrompt(replierBot, targetTopic.title, topicContent, replies, category.name);
|
||||
if (memoryCtx) {
|
||||
prompt = prompt.replace("[你的角色设定]", memoryCtx + "[你的角色设定]");
|
||||
} else {
|
||||
prompt = prompt.replace("[你的角色设定]", "\n[你的角色设定]");
|
||||
}
|
||||
|
||||
const result = await callDeepSeek(prompt);
|
||||
|
||||
const post = await createPost(targetTopic.id, botConf.userId, result.content);
|
||||
console.log(`${ts()} Reply saved (${result.content.length} chars).`);
|
||||
|
||||
await saveMemory(botConf.id, "interaction", {
|
||||
action: "reply",
|
||||
forum: category.name,
|
||||
topicTitle: targetTopic.title,
|
||||
repliedTo: authorName,
|
||||
summary: result.content.substring(0, 100),
|
||||
}, 0.5);
|
||||
|
||||
await logTask("create_reply", "success",
|
||||
`${replierBot.displayName} replied to ${authorName}'s topic in ${category.name}`);
|
||||
} catch (err) {
|
||||
console.error(`${ts()} Error creating reply:`, err.message);
|
||||
await logTask("create_reply", "error", err.message);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function main() {
|
||||
console.log(`${ts()} Bot Activity Engine starting...`);
|
||||
|
||||
const { characters: botCharacters } = await loadBotCharacters();
|
||||
console.log(`${ts()} Loaded ${botCharacters.length} bot characters.`);
|
||||
|
||||
const activeForums = FORUM_SLUGS.sort(() => Math.random() - 0.5).slice(0, 2);
|
||||
console.log(`${ts()} Processing ${activeForums.length} forums: ${activeForums.join(", ")}`);
|
||||
|
||||
for (const forumSlug of activeForums) {
|
||||
await processForum(forumSlug, botCharacters);
|
||||
}
|
||||
|
||||
console.log(`${ts()} Bot Activity Engine done.`);
|
||||
}
|
||||
|
||||
main()
|
||||
.catch((e) => {
|
||||
console.error(`${ts()} Fatal error:`, e);
|
||||
process.exit(1);
|
||||
})
|
||||
.finally(async () => {
|
||||
await prisma.$disconnect();
|
||||
});
|
||||
@@ -0,0 +1,14 @@
|
||||
const { PrismaClient } = require('@prisma/client');
|
||||
const { PrismaMariaDb } = require('@prisma/adapter-mariadb');
|
||||
const url = (process.env.DATABASE_URL || 'mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4').replace('mysql://', 'mariadb://');
|
||||
const prisma = new PrismaClient({ adapter: new PrismaMariaDb(url) });
|
||||
|
||||
async function main() {
|
||||
const cats = await prisma.forumCategory.findMany({ select: { id: true, name: true, slug: true } });
|
||||
console.log('=== Forum Categories ===');
|
||||
cats.forEach(c => console.log(` id=${c.id} slug="${c.slug}" name="${c.name}"`));
|
||||
console.log('Total: ' + cats.length);
|
||||
await prisma.$disconnect();
|
||||
}
|
||||
|
||||
main().catch(e => { console.error(e); process.exit(1); });
|
||||
@@ -0,0 +1,30 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL.replace("mysql://", "mariadb://");
|
||||
const connectionString = `${base}&connection_limit=2`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
const count = await prisma.botMemory.count();
|
||||
const groups = await prisma.botMemory.groupBy({
|
||||
by: ["memoryType"],
|
||||
_count: true,
|
||||
});
|
||||
console.log(`Total memories: ${count}`);
|
||||
console.log(groups.map((r) => `${r.memoryType}: ${r._count}`).join(", "));
|
||||
|
||||
const recent = await prisma.botMemory.findMany({
|
||||
orderBy: { createdAt: "desc" },
|
||||
take: 5,
|
||||
include: { bot: { select: { displayName: true } } },
|
||||
});
|
||||
for (const r of recent) {
|
||||
const c = r.content;
|
||||
console.log(
|
||||
` ${r.bot.displayName} | ${r.memoryType} | ${c.title || c.topicTitle || ""}`
|
||||
);
|
||||
}
|
||||
|
||||
await prisma.$disconnect();
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -0,0 +1,40 @@
|
||||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
TASK_NAME="$1"
|
||||
SCRIPT_PATH="$2"
|
||||
PROJECT_DIR="/home/ubuntu/zhuiguang-ai"
|
||||
LOG_DIR="$PROJECT_DIR/logs"
|
||||
ENV_FILE="$PROJECT_DIR/.env"
|
||||
|
||||
if [ -z "$TASK_NAME" ] || [ -z "$SCRIPT_PATH" ]; then
|
||||
echo "用法: $0 <TASK_NAME> <SCRIPT_PATH>"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
mkdir -p "$LOG_DIR"
|
||||
|
||||
LOG_FILE="$LOG_DIR/$TASK_NAME.log"
|
||||
TIMESTAMP=$(date '+%Y-%m-%d %H:%M:%S')
|
||||
|
||||
echo "========== $TIMESTAMP 开始执行: $TASK_NAME ==========" >> "$LOG_FILE"
|
||||
|
||||
if [ -f "$ENV_FILE" ]; then
|
||||
set -a
|
||||
source "$ENV_FILE"
|
||||
set +a
|
||||
fi
|
||||
|
||||
export PATH="/usr/local/bin:/usr/bin:/bin:$PATH"
|
||||
|
||||
cd "$PROJECT_DIR"
|
||||
|
||||
if node "$SCRIPT_PATH" >> "$LOG_FILE" 2>&1; then
|
||||
echo "$(date '+%Y-%m-%d %H:%M:%S') $TASK_NAME 执行成功" >> "$LOG_FILE"
|
||||
else
|
||||
EXIT_CODE=$?
|
||||
echo "$(date '+%Y-%m-%d %H:%M:%S') $TASK_NAME 执行失败 (exit code: $EXIT_CODE)" >> "$LOG_FILE"
|
||||
exit $EXIT_CODE
|
||||
fi
|
||||
|
||||
echo "" >> "$LOG_FILE"
|
||||
@@ -5,7 +5,7 @@ import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -260,7 +260,7 @@ async function main() {
|
||||
console.log(` ✅ PendingSkill #${pendingSkill.id}`);
|
||||
|
||||
await prisma.reviewGenerationLog.create({
|
||||
data: { skillId: pendingSkill.id, status: "SUCCESS", prompt: `task4-discover: ${repo.full_name}`, response: reviewData ? JSON.stringify(reviewData) : null },
|
||||
data: { skillId: 0, status: "SUCCESS", prompt: `task4-discover: ${repo.full_name}`, response: reviewData ? JSON.stringify(reviewData) : null },
|
||||
});
|
||||
discovered++;
|
||||
} catch (e) {
|
||||
|
||||
@@ -4,7 +4,7 @@ import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -0,0 +1,36 @@
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
|
||||
const scriptsDir = '/home/ubuntu/zhuiguang-ai/scripts';
|
||||
const files = fs.readdirSync(scriptsDir).filter(f => f.endsWith('.mjs'));
|
||||
|
||||
const oldLine = 'const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";';
|
||||
const newLine = 'const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");';
|
||||
|
||||
let fixed = 0;
|
||||
let skipped = 0;
|
||||
|
||||
for (const file of files) {
|
||||
const filePath = path.join(scriptsDir, file);
|
||||
let content = fs.readFileSync(filePath, 'utf8');
|
||||
|
||||
if (content.includes('PrismaMariaDb') && content.includes(oldLine)) {
|
||||
content = content.replace(oldLine, newLine);
|
||||
fs.writeFileSync(filePath, content, 'utf8');
|
||||
console.log('Fixed: ' + file);
|
||||
fixed++;
|
||||
} else if (content.includes('PrismaMariaDb')) {
|
||||
console.log('Skipped (already fixed or different pattern): ' + file);
|
||||
skipped++;
|
||||
}
|
||||
}
|
||||
|
||||
console.log('\nTotal fixed: ' + fixed + ', skipped: ' + skipped);
|
||||
console.log('\n=== Verification ===');
|
||||
// Show the fixed lines
|
||||
const verifyFiles = ['task5-update-stars.mjs', 'task1-discover-tools.mjs', 'daily-news.mjs', 'task7-news-to-community.mjs'];
|
||||
for (const f of verifyFiles) {
|
||||
const content = fs.readFileSync(path.join(scriptsDir, f), 'utf8');
|
||||
const match = content.match(/const base = .*/);
|
||||
if (match) console.log(f + ': ' + match[0]);
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
#!/bin/bash
|
||||
cd /home/ubuntu/zhuiguang-ai/scripts
|
||||
for f in *.mjs; do
|
||||
if grep -q 'PrismaMariaDb' "$f" 2>/dev/null; then
|
||||
OLD="const base = process.env.DATABASE_URL || \"mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4\";"
|
||||
NEW="const base = (process.env.DATABASE_URL || \"mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4\").replace('mysql://', 'mariadb://');"
|
||||
if grep -qF "$OLD" "$f" 2>/dev/null; then
|
||||
sed -i "s|const base = process.env.DATABASE_URL || \"mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4\";|const base = (process.env.DATABASE_URL || \"mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4\").replace('mysql://', 'mariadb://');|g" "$f"
|
||||
echo "Fixed: $f"
|
||||
else
|
||||
echo "Skipped (pattern not matched): $f"
|
||||
fi
|
||||
fi
|
||||
done
|
||||
echo "=== Verification ==="
|
||||
grep -n 'const base' task5-update-stars.mjs task1-discover-tools.mjs task3-check-tools.mjs task6-review-hot.mjs task7-news-to-community.mjs daily-discover.mjs daily-news.mjs 2>/dev/null
|
||||
@@ -0,0 +1,73 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL.replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=5&pool_timeout=10`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
async function main() {
|
||||
console.log("=== 修复 PendingTool categoryId 为 NULL 的记录 ===\n");
|
||||
|
||||
const categories = await prisma.category.findMany({ select: { id: true, name: true }, orderBy: { id: "asc" } });
|
||||
if (categories.length === 0) {
|
||||
console.error("错误: 数据库中没有分类数据");
|
||||
await prisma.$disconnect();
|
||||
return;
|
||||
}
|
||||
const defaultCategoryId = categories[0].id;
|
||||
console.log(`默认分类: id=${defaultCategoryId} "${categories[0].name}"`);
|
||||
|
||||
const nullCatTools = await prisma.pendingTool.findMany({
|
||||
where: { categoryId: null, status: "pending" },
|
||||
select: { id: true, name: true, websiteUrl: true },
|
||||
});
|
||||
|
||||
const catIds = new Set(categories.map(c => c.id));
|
||||
const invalidCatTools = await prisma.pendingTool.findMany({
|
||||
where: { status: "pending", categoryId: { not: null } },
|
||||
select: { id: true, name: true, categoryId: true },
|
||||
});
|
||||
const invalidCat = invalidCatTools.filter(t => !catIds.has(t.categoryId));
|
||||
|
||||
console.log(`\nPendingTool 统计:`);
|
||||
console.log(` categoryId 为 NULL: ${nullCatTools.length} 条`);
|
||||
console.log(` categoryId 指向无效分类: ${invalidCat.length} 条`);
|
||||
|
||||
let totalFixed = 0;
|
||||
|
||||
if (nullCatTools.length > 0) {
|
||||
console.log(`\n修复 categoryId 为 NULL 的记录:`);
|
||||
for (const t of nullCatTools) {
|
||||
console.log(` id=${t.id} "${t.name}" → categoryId: ${defaultCategoryId}`);
|
||||
await prisma.pendingTool.update({ where: { id: t.id }, data: { categoryId: defaultCategoryId } });
|
||||
totalFixed++;
|
||||
}
|
||||
}
|
||||
|
||||
if (invalidCat.length > 0) {
|
||||
console.log(`\n修复 categoryId 指向无效分类的记录:`);
|
||||
for (const t of invalidCat) {
|
||||
console.log(` id=${t.id} "${t.name}" (categoryId=${t.categoryId}) → ${defaultCategoryId}`);
|
||||
await prisma.pendingTool.update({ where: { id: t.id }, data: { categoryId: defaultCategoryId } });
|
||||
totalFixed++;
|
||||
}
|
||||
}
|
||||
|
||||
if (totalFixed === 0) {
|
||||
console.log("\n无需修复，所有 PendingTool 记录的 categoryId 均有效。");
|
||||
} else {
|
||||
console.log(`\n✅ 共修复 ${totalFixed} 条记录`);
|
||||
}
|
||||
|
||||
console.log("\n建议后续操作:");
|
||||
console.log(" 1. 重新部署 task3-check-tools.mjs 到服务器 scripts/ 目录");
|
||||
console.log(" 2. 重启定时任务: pm2 restart all 或重启 cron-wrapper.sh");
|
||||
console.log(" 3. 验证: 等待下次 task3 执行确认无 FK 错误");
|
||||
}
|
||||
|
||||
main()
|
||||
.catch((e) => { console.error(e); process.exit(1); })
|
||||
.finally(async () => { await prisma.$disconnect(); });
|
||||
@@ -0,0 +1,45 @@
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
|
||||
const scriptsDir = '/home/ubuntu/zhuiguang-ai/scripts';
|
||||
const files = fs.readdirSync(scriptsDir).filter(f => f.endsWith('.mjs'));
|
||||
|
||||
// Patterns to remove:
|
||||
// 1. `const name: Type = ` -> `const name = `
|
||||
// 2. `let name: Type = ` -> `let name = `
|
||||
// 3. `: Type` after function parameters (tricky - skip for now)
|
||||
// 4. `: Type` after variable declarations
|
||||
|
||||
let totalFixed = 0;
|
||||
|
||||
for (const file of files) {
|
||||
const filePath = path.join(scriptsDir, file);
|
||||
let content = fs.readFileSync(filePath, 'utf8');
|
||||
const original = content;
|
||||
|
||||
// Remove type annotations from const/let/var declarations
|
||||
// Match: `const x: Type =` or `let x: Type =`
|
||||
content = content.replace(/(const|let|var)\s+(\w+)\s*:\s*[^=]+?(\s*=\s*)/g, '$1 $2 $3');
|
||||
|
||||
// Remove type annotations from function return types like `): Type {`
|
||||
content = content.replace(/\):\s*(Promise<[^>]+>|string|number|boolean|void|any|Record<[^>]+>|Map<[^>]+>|Set<[^>]+>)\s*\{/g, ') {');
|
||||
|
||||
if (content !== original) {
|
||||
fs.writeFileSync(filePath, content, 'utf8');
|
||||
console.log('Fixed: ' + file);
|
||||
totalFixed++;
|
||||
}
|
||||
}
|
||||
|
||||
console.log('\nTotal files fixed: ' + totalFixed);
|
||||
|
||||
// Verify task1
|
||||
const task1 = fs.readFileSync(path.join(scriptsDir, 'task1-discover-tools.mjs'), 'utf8');
|
||||
const tsLines = task1.split('\n').filter((line, i) => {
|
||||
const lineNum = i + 1;
|
||||
return line.match(/(const|let|var)\s+\w+\s*:\s*[^=]/) || line.match(/:\s*(Record|Map|Set|Promise)<[^>]+>\s*[{(]/);
|
||||
});
|
||||
if (tsLines.length > 0) {
|
||||
console.log('\n=== Remaining TS in task1 ===');
|
||||
tsLines.forEach(l => console.log(l));
|
||||
}
|
||||
@@ -0,0 +1,250 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import { readFileSync } from "fs";
|
||||
import { resolve, dirname } from "path";
|
||||
import { fileURLToPath } from "url";
|
||||
import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
const base = process.env.DATABASE_URL.replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=10&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: process.env.DEEPSEEK_API_KEY,
|
||||
baseURL: "https://api.deepseek.com/v1",
|
||||
});
|
||||
|
||||
const BOT_DATA_PATH = resolve(__dirname, "..", "data", "bot-characters.json");
|
||||
const MODEL = process.env.DEEPSEEK_MODEL || "deepseek-chat";
|
||||
|
||||
const FORUM_SLUGS = [
|
||||
"money", "ecommerce", "ai-tech", "career", "cross-border",
|
||||
"real-estate", "content", "offline-biz", "education", "fire-life",
|
||||
];
|
||||
|
||||
const FORUM_NAMES = {
|
||||
money: "赚钱与副业", ecommerce: "电商运营", "ai-tech": "AI科技",
|
||||
career: "职场创业", "cross-border": "跨境电商", "real-estate": "房产投资",
|
||||
content: "自媒体内容", "offline-biz": "实体生意", education: "教育成长",
|
||||
"fire-life": "FIRE与生活",
|
||||
};
|
||||
|
||||
const SUB_CATEGORY_MAP = {
|
||||
money: ["money-projects", "money-pitfalls", "money-models"],
|
||||
ecommerce: ["ec-platform", "ec-livestream", "ec-product"],
|
||||
"ai-tech": ["ai-tools-forum", "ai-startup", "ai-frontier"],
|
||||
career: ["career-grow", "career-startup", "career-35"],
|
||||
"cross-border": ["cb-platform", "cb-logistics", "cb-local"],
|
||||
"real-estate": ["re-buy", "re-invest", "re-market"],
|
||||
content: ["ct-video", "ct-writing", "ct-money"],
|
||||
"offline-biz": ["ob-shop", "ob-food", "ob-factory"],
|
||||
education: ["edu-skills", "edu-mindset", "edu-books"],
|
||||
"fire-life": ["fl-fire", "fl-invest", "fl-lifestyle"],
|
||||
};
|
||||
|
||||
function ts() {
|
||||
return `[${new Date().toISOString()}]`;
|
||||
}
|
||||
|
||||
function pick(arr) {
|
||||
return arr[Math.floor(Math.random() * arr.length)];
|
||||
}
|
||||
|
||||
function slugify(str) {
|
||||
const clean = str.toLowerCase().replace(/[^a-z0-9\u4e00-\u9fa5]+/g, "-").replace(/^-|-$/g, "").substring(0, 80);
|
||||
return `${clean}-${Date.now().toString(36)}`;
|
||||
}
|
||||
|
||||
function randomDate(daysAgo) {
|
||||
const d = new Date();
|
||||
d.setDate(d.getDate() - Math.floor(Math.random() * daysAgo));
|
||||
d.setHours(Math.floor(Math.random() * 12) + 8, Math.floor(Math.random() * 60), 0, 0);
|
||||
return d;
|
||||
}
|
||||
|
||||
async function loadBotCharacters() {
|
||||
const raw = readFileSync(BOT_DATA_PATH, "utf-8");
|
||||
const { characters } = JSON.parse(raw);
|
||||
return characters;
|
||||
}
|
||||
|
||||
function buildContentPrompt(bot, forumName, isTopic, existingContent) {
|
||||
const p = bot.personality;
|
||||
|
||||
if (isTopic) {
|
||||
return `你正在模拟一个中文行业论坛的帖子。现在是2026年，这个论坛叫"追光AI行业论坛"，板块是"${forumName}"。
|
||||
|
||||
[角色]
|
||||
你是【${bot.displayName}】，${p.identity}
|
||||
擅长：${p.expertise.join("、")}
|
||||
立场：${p.stance}
|
||||
风格：${p.speakingStyle}
|
||||
|
||||
[任务]
|
||||
以${bot.displayName}的身份发起一个新话题。这是"预生成历史内容"，用来让新论坛看起来有一定基础。话题可以基于${bot.displayName}的"经历"来写，让他看起来已经在这个论坛活跃了一段时间。
|
||||
|
||||
要求：
|
||||
1. 标题10-20字，像真人在论坛发的帖子
|
||||
2. 内容200-500字，口语化，有具体细节
|
||||
3. 不要用"首先/其次/最后""综上所述"等格式
|
||||
4. 可以有情绪，有立场
|
||||
|
||||
只输出JSON：{"title":"标题","content":"内容"}`;
|
||||
}
|
||||
|
||||
return `你正在模拟一个中文行业论坛的回复。板块是"${forumName}"。
|
||||
|
||||
[角色]
|
||||
你是【${bot.displayName}】，${p.identity}
|
||||
立场：${p.stance}
|
||||
风格：${p.speakingStyle}
|
||||
|
||||
[上下文]
|
||||
楼主发言：${existingContent}
|
||||
|
||||
[任务]
|
||||
以${bot.displayName}的身份回复。可以赞同、质疑、补充案例或提问。
|
||||
要求：
|
||||
1. 150-400字
|
||||
2. 口语化自然
|
||||
3. 不重复楼主的内容
|
||||
|
||||
只输出JSON：{"content":"回复内容"}`;
|
||||
}
|
||||
|
||||
async function callDeepSeek(prompt) {
|
||||
const response = await withRetry(() =>
|
||||
openai.chat.completions.create({
|
||||
model: MODEL,
|
||||
messages: [{ role: "user", content: prompt }],
|
||||
temperature: 0.9,
|
||||
max_tokens: 1024,
|
||||
})
|
||||
);
|
||||
|
||||
const text = response.choices[0].message.content.trim();
|
||||
const jsonMatch = text.match(/\{[\s\S]*\}/);
|
||||
if (!jsonMatch) {
|
||||
throw new Error(`Could not parse JSON: ${text.substring(0, 200)}`);
|
||||
}
|
||||
return JSON.parse(jsonMatch[0]);
|
||||
}
|
||||
|
||||
async function getBotUser(botKey) {
|
||||
const config = await prisma.botConfig.findFirst({
|
||||
where: { user: { email: `bot_${botKey}@zhuiguang.ai` } },
|
||||
include: { user: true },
|
||||
});
|
||||
return config;
|
||||
}
|
||||
|
||||
async function getSubCategory(forumSlug) {
|
||||
const subs = SUB_CATEGORY_MAP[forumSlug] || [];
|
||||
const slug = pick(subs);
|
||||
return prisma.forumCategory.findUnique({ where: { slug } });
|
||||
}
|
||||
|
||||
async function main() {
|
||||
console.log(`${ts()} Pre-generating historical forum content...`);
|
||||
|
||||
const allBots = await loadBotCharacters();
|
||||
console.log(`${ts()} Loaded ${allBots.length} bot definitions.`);
|
||||
|
||||
let totalTopics = 0;
|
||||
let totalReplies = 0;
|
||||
|
||||
for (const forumSlug of FORUM_SLUGS) {
|
||||
const forumName = FORUM_NAMES[forumSlug];
|
||||
|
||||
const forumBots = allBots.filter(c => c.primaryForums && c.primaryForums.includes(forumSlug));
|
||||
if (forumBots.length === 0) continue;
|
||||
|
||||
const subCat = await getSubCategory(forumSlug);
|
||||
if (!subCat) {
|
||||
console.log(`${ts()} No sub-category found for ${forumSlug}, skipping.`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const topicCount = Math.floor(Math.random() * 2) + 2;
|
||||
console.log(`${ts()} ${forumName}: generating ${topicCount} topics...`);
|
||||
|
||||
for (let i = 0; i < topicCount; i++) {
|
||||
const topicBot = pick(forumBots);
|
||||
const botConf = await getBotUser(topicBot.key);
|
||||
if (!botConf) continue;
|
||||
|
||||
const topicDate = randomDate(90);
|
||||
|
||||
try {
|
||||
const prompt = buildContentPrompt(topicBot, forumName, true, "");
|
||||
const result = await callDeepSeek(prompt);
|
||||
|
||||
await prisma.forumTopic.create({
|
||||
data: {
|
||||
categoryId: subCat.id,
|
||||
userId: botConf.userId,
|
||||
title: result.title,
|
||||
slug: slugify(result.title),
|
||||
content: result.content,
|
||||
createdAt: topicDate,
|
||||
updatedAt: topicDate,
|
||||
},
|
||||
});
|
||||
totalTopics++;
|
||||
console.log(`${ts()} + Topic: "${result.title}" by ${topicBot.displayName}`);
|
||||
|
||||
const replyCount = Math.floor(Math.random() * 2) + 1;
|
||||
const replierCandidates = forumBots.filter(b => b.key !== topicBot.key);
|
||||
const selectedRepliers = replierCandidates.sort(() => Math.random() - 0.5).slice(0, replyCount);
|
||||
|
||||
for (const repBot of selectedRepliers) {
|
||||
const repConf = await getBotUser(repBot.key);
|
||||
if (!repConf) continue;
|
||||
|
||||
const replyDate = new Date(topicDate.getTime() + Math.floor(Math.random() * 12 * 60 * 60 * 1000));
|
||||
|
||||
try {
|
||||
const replyPrompt = buildContentPrompt(repBot, forumName, false, result.content);
|
||||
const replyResult = await callDeepSeek(replyPrompt);
|
||||
|
||||
await prisma.forumPost.create({
|
||||
data: {
|
||||
topicId: (await prisma.forumTopic.findFirst({
|
||||
where: { title: result.title, userId: botConf.userId },
|
||||
orderBy: { createdAt: "desc" },
|
||||
})).id,
|
||||
userId: repConf.userId,
|
||||
content: replyResult.content,
|
||||
createdAt: replyDate,
|
||||
updatedAt: replyDate,
|
||||
},
|
||||
});
|
||||
totalReplies++;
|
||||
console.log(`${ts()} + Reply by ${repBot.displayName}`);
|
||||
} catch (err) {
|
||||
console.error(`${ts()} Reply error:`, err.message);
|
||||
}
|
||||
}
|
||||
|
||||
} catch (err) {
|
||||
console.error(`${ts()} Topic error:`, err.message);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`${ts()} Done! Created ${totalTopics} topics and ${totalReplies} replies.`);
|
||||
}
|
||||
|
||||
main()
|
||||
.catch((e) => {
|
||||
console.error(e);
|
||||
process.exit(1);
|
||||
})
|
||||
.finally(async () => {
|
||||
await prisma.$disconnect();
|
||||
});
|
||||
@@ -3,7 +3,7 @@ import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -0,0 +1,67 @@
|
||||
#!/bin/bash
|
||||
# 追光AI 定时任务安装/修复脚本
|
||||
# 用法: bash install-cron.sh
|
||||
|
||||
PROJECT_DIR="/home/ubuntu/zhuiguang-ai"
|
||||
|
||||
echo "========================================"
|
||||
echo " 追光AI 定时任务 - 安装/修复"
|
||||
echo "========================================"
|
||||
|
||||
mkdir -p "$PROJECT_DIR/logs"
|
||||
echo "✅ 日志目录已创建: $PROJECT_DIR/logs/"
|
||||
|
||||
chmod +x "$PROJECT_DIR/scripts/cron-wrapper.sh"
|
||||
echo "✅ cron-wrapper.sh 已加执行权限"
|
||||
|
||||
# 写入 crontab
|
||||
crontab -l 2>/dev/null | grep -v "zhuiguang" > /tmp/cron-temp 2>/dev/null || true
|
||||
|
||||
cat >> /tmp/cron-temp << 'CRONEOF'
|
||||
|
||||
# ========== 追光AI 定时任务 ==========
|
||||
# 使用 cron-wrapper.sh 统一入口（自动加载 .env）
|
||||
WRAPPER="/home/ubuntu/zhuiguang-ai/scripts/cron-wrapper.sh"
|
||||
PROJECT="/home/ubuntu/zhuiguang-ai"
|
||||
|
||||
# Task5 每天凌晨1:00 更新技能星值
|
||||
0 1 * * * bash $WRAPPER task5 $PROJECT/scripts/task5-update-stars.mjs
|
||||
|
||||
# Task3 每天凌晨3:00 工具巡检
|
||||
0 3 * * * bash $WRAPPER task3 $PROJECT/scripts/task3-check-tools.mjs
|
||||
|
||||
# Task6 每天凌晨4:00 评测热门技能
|
||||
0 4 * * * bash $WRAPPER task6 $PROJECT/scripts/task6-review-hot.mjs
|
||||
|
||||
# Task4 每天凌晨5:00 发现AI技能
|
||||
0 5 * * * bash $WRAPPER task4 $PROJECT/scripts/daily-discover.mjs
|
||||
|
||||
# Task1 每天早上6:00 发现AI工具
|
||||
0 6 * * * bash $WRAPPER task1 $PROJECT/scripts/task1-discover-tools.mjs
|
||||
|
||||
# 每天早上7:30 生成AI日报
|
||||
30 7 * * * bash $WRAPPER daily-news $PROJECT/scripts/daily-news.mjs
|
||||
|
||||
# 每天早上8:00 新闻推送到社区版块
|
||||
0 8 * * * bash $WRAPPER task7 $PROJECT/scripts/task7-news-to-community.mjs
|
||||
CRONEOF
|
||||
|
||||
crontab /tmp/cron-temp
|
||||
rm -f /tmp/cron-temp
|
||||
echo "✅ crontab 已更新（7个定时任务）"
|
||||
|
||||
echo ""
|
||||
echo "当前 crontab 内容:"
|
||||
crontab -l
|
||||
|
||||
echo ""
|
||||
echo "========================================"
|
||||
echo " 安装完成！每天自动执行时间："
|
||||
echo " 01:00 - Task5 更新技能星值"
|
||||
echo " 03:00 - Task3 工具巡检"
|
||||
echo " 04:00 - Task6 评测热门技能"
|
||||
echo " 05:00 - Task4 发现AI技能"
|
||||
echo " 06:00 - Task1 发现AI工具"
|
||||
echo " 07:30 - 生成AI日报"
|
||||
echo " 08:00 - Task7 新闻→社区"
|
||||
echo "========================================"
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -0,0 +1,287 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import { readFileSync } from "fs";
|
||||
import { resolve, dirname } from "path";
|
||||
import { fileURLToPath } from "url";
|
||||
import "dotenv/config";
|
||||
|
||||
const __dirname = dirname(fileURLToPath(import.meta.url));
|
||||
const base = process.env.DATABASE_URL.replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=5&pool_timeout=10`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
const BOT_DATA_PATH = resolve(__dirname, "..", "data", "bot-characters.json");
|
||||
const INDUSTRY_CATEGORIES = [
|
||||
{
|
||||
name: "电商零售", slug: "ecommerce", icon: "🛒", sortOrder: 1,
|
||||
description: "电商平台运营、选品策略、流量玩法与变现",
|
||||
children: [
|
||||
{ name: "平台电商", slug: "ec-platform", icon: "🏪", description: "淘宝/天猫/京东/拼多多/唯品会" },
|
||||
{ name: "直播带货", slug: "ec-livestream", icon: "📱", description: "抖音/快手/视频号直播运营" },
|
||||
{ name: "私域电商", slug: "ec-private", icon: "🔗", description: "微信生态/社群/小程序电商" },
|
||||
{ name: "社区团购", slug: "ec-group", icon: "🏘️", description: "社区团购/买菜/本地配送" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "AI智能科技", slug: "ai-tech", icon: "🤖", sortOrder: 2,
|
||||
description: "AI技术应用、创业机会与产品出海",
|
||||
children: [
|
||||
{ name: "AI工具应用", slug: "ai-tools", icon: "🔧", description: "AI工具推荐、评测与变现" },
|
||||
{ name: "AI创业", slug: "ai-startup", icon: "💡", description: "AI创业方向与商业模式" },
|
||||
{ name: "SaaS出海", slug: "ai-saas", icon: "🚀", description: "SaaS产品开发与全球化" },
|
||||
{ name: "智能硬件", slug: "ai-hardware", icon: "🔌", description: "AI硬件产品与IoT创业" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "房地产", slug: "real-estate", icon: "🏠", sortOrder: 3,
|
||||
description: "房产买卖、投资分析、装修与物业管理",
|
||||
children: [
|
||||
{ name: "住宅买卖", slug: "re-residential", icon: "🏡", description: "刚需/改善/学区房交易" },
|
||||
{ name: "商业地产", slug: "re-commercial", icon: "🏢", description: "商铺/写字楼/产业园投资" },
|
||||
{ name: "装修家居", slug: "re-renovation", icon: "🛋️", description: "装修设计/建材/智能家居" },
|
||||
{ name: "物业运营", slug: "re-property", icon: "🏗️", description: "物业管理/租赁运营/资产托管" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "金融投资", slug: "finance", icon: "📈", sortOrder: 4,
|
||||
description: "股票基金、加密货币、保险理财与股权投资",
|
||||
children: [
|
||||
{ name: "股票基金", slug: "fi-stock", icon: "📊", description: "A股/港股/美股/基金定投" },
|
||||
{ name: "加密货币", slug: "fi-crypto", icon: "₿", description: "比特币/以太坊/Web3" },
|
||||
{ name: "保险理财", slug: "fi-insurance", icon: "🛡️", description: "保险配置/理财规划" },
|
||||
{ name: "私募股权", slug: "fi-pe", icon: "💼", description: "PE/VC/天使投资" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "餐饮食品", slug: "food", icon: "🍜", sortOrder: 5,
|
||||
description: "餐饮创业、茶饮咖啡、预制菜与食品供应链",
|
||||
children: [
|
||||
{ name: "餐饮开店", slug: "fd-restaurant", icon: "🍽️", description: "餐厅选址/运营/连锁加盟" },
|
||||
{ name: "茶饮咖啡", slug: "fd-tea", icon: "🧋", description: "新茶饮/咖啡/饮品创业" },
|
||||
{ name: "预制菜", slug: "fd-prepared", icon: "📦", description: "预制菜/半成品/食品加工" },
|
||||
{ name: "食品供应链", slug: "fd-supply", icon: "🚚", description: "食材采购/冷链/中央厨房" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "自媒体内容", slug: "content", icon: "🎬", sortOrder: 6,
|
||||
description: "短视频、直播、图文创作与MCN机构运营",
|
||||
children: [
|
||||
{ name: "短视频创作", slug: "ct-short-video", icon: "📱", description: "抖音/快手/B站内容创作" },
|
||||
{ name: "直播运营", slug: "ct-livestream", icon: "🎥", description: "带货直播/娱乐直播/知识直播" },
|
||||
{ name: "图文内容", slug: "ct-writing", icon: "✍️", description: "公众号/小红书/知乎/头条" },
|
||||
{ name: "MCN机构", slug: "ct-mcn", icon: "🏢", description: "MCN运营/达人孵化/商务变现" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "本地生活", slug: "local-life", icon: "🏪", sortOrder: 7,
|
||||
description: "美业、健身、宠物、家政等本地服务创业",
|
||||
children: [
|
||||
{ name: "美容美发", slug: "ll-beauty", icon: "💇", description: "美发/美甲/美容/医美" },
|
||||
{ name: "健身运动", slug: "ll-fitness", icon: "🏋️", description: "健身房/瑜伽/私教/运动康复" },
|
||||
{ name: "宠物经济", slug: "ll-pet", icon: "🐾", description: "宠物店/宠物食品/宠物医疗" },
|
||||
{ name: "家政服务", slug: "ll-housekeeping", icon: "🏠", description: "保洁/月嫂/搬家/维修" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "大健康", slug: "health", icon: "💊", sortOrder: 8,
|
||||
description: "医疗美容、健康管理、养老服务与运动康复",
|
||||
children: [
|
||||
{ name: "医疗美容", slug: "hl-cosmetic", icon: "💉", description: "轻医美/微整形/皮肤管理" },
|
||||
{ name: "健康管理", slug: "hl-wellness", icon: "🫀", description: "体检/慢病管理/保健品" },
|
||||
{ name: "养老服务", slug: "hl-elderly", icon: "👴", description: "养老院/居家养老/适老化改造" },
|
||||
{ name: "运动康复", slug: "hl-rehab", icon: "🩹", description: "运动损伤/产后康复/中医理疗" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "教育培训", slug: "education", icon: "📚", sortOrder: 9,
|
||||
description: "技能培训、知识付费、留学与企业培训",
|
||||
children: [
|
||||
{ name: "技能培训", slug: "edu-skills", icon: "🛠️", description: "编程/设计/运营等职业技能" },
|
||||
{ name: "知识付费", slug: "edu-knowledge", icon: "💎", description: "课程制作/社群运营/个人IP" },
|
||||
{ name: "留学服务", slug: "edu-abroad", icon: "✈️", description: "留学申请/语言培训/海外游学" },
|
||||
{ name: "企业培训", slug: "edu-corporate", icon: "🏢", description: "企业内训/管理咨询/团队建设" },
|
||||
],
|
||||
},
|
||||
{
|
||||
name: "外贸跨境", slug: "cross-border", icon: "🌏", sortOrder: 10,
|
||||
description: "跨境电商、外贸工厂、海外仓与跨境支付",
|
||||
children: [
|
||||
{ name: "跨境电商", slug: "cb-ecommerce", icon: "🛒", description: "Amazon/Temu/TikTok Shop/Shopee" },
|
||||
{ name: "外贸工厂", slug: "cb-factory", icon: "🏭", description: "代工转品牌/工贸一体/B2B" },
|
||||
{ name: "海外仓物流", slug: "cb-logistics", icon: "📦", description: "海外仓/FBA/跨境物流" },
|
||||
{ name: "跨境支付", slug: "cb-payment", icon: "💳", description: "收付款/汇率/资金合规" },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
async function createIndustryCategories() {
|
||||
console.log("Creating industry forum categories...");
|
||||
|
||||
const parent = await prisma.forumCategory.upsert({
|
||||
where: { slug: "industry" },
|
||||
update: {},
|
||||
create: {
|
||||
name: "行业论坛",
|
||||
slug: "industry",
|
||||
icon: "🏭",
|
||||
sortOrder: 10,
|
||||
description: "各行业交流讨论，AI驱动的行业智囊团",
|
||||
},
|
||||
});
|
||||
|
||||
for (const cat of INDUSTRY_CATEGORIES) {
|
||||
let childCat = await prisma.forumCategory.findUnique({
|
||||
where: { slug: cat.slug },
|
||||
include: { children: true },
|
||||
});
|
||||
|
||||
if (!childCat) {
|
||||
childCat = await prisma.forumCategory.create({
|
||||
data: {
|
||||
name: cat.name,
|
||||
slug: cat.slug,
|
||||
icon: cat.icon,
|
||||
description: cat.description,
|
||||
sortOrder: cat.sortOrder,
|
||||
parentId: parent.id,
|
||||
},
|
||||
include: { children: true },
|
||||
});
|
||||
console.log(` + ${cat.name}`);
|
||||
} else {
|
||||
if (!childCat.parentId) {
|
||||
await prisma.forumCategory.update({
|
||||
where: { id: childCat.id },
|
||||
data: { parentId: parent.id },
|
||||
});
|
||||
}
|
||||
console.log(` ✓ ${cat.name} (exists)`);
|
||||
}
|
||||
|
||||
const existingSlugs = new Set(childCat.children.map(c => c.slug));
|
||||
for (const sub of cat.children) {
|
||||
if (existingSlugs.has(sub.slug)) {
|
||||
console.log(` - ${sub.name} (exists)`);
|
||||
} else {
|
||||
const conflictSlug = await prisma.forumCategory.findUnique({
|
||||
where: { slug: sub.slug },
|
||||
});
|
||||
if (conflictSlug) {
|
||||
await prisma.forumCategory.update({
|
||||
where: { slug: sub.slug },
|
||||
data: {
|
||||
name: sub.name,
|
||||
icon: sub.icon,
|
||||
description: sub.description,
|
||||
parentId: childCat.id,
|
||||
},
|
||||
});
|
||||
console.log(` ↻ ${sub.name} (moved under ${cat.name})`);
|
||||
} else {
|
||||
await prisma.forumCategory.create({
|
||||
data: { ...sub, parentId: childCat.id },
|
||||
});
|
||||
console.log(` + ${sub.name}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log("Industry categories created.");
|
||||
}
|
||||
|
||||
async function createBotUsers() {
|
||||
console.log("Creating/updating bot users...");
|
||||
|
||||
const raw = readFileSync(BOT_DATA_PATH, "utf-8");
|
||||
const { characters } = JSON.parse(raw);
|
||||
|
||||
let created = 0;
|
||||
let updated = 0;
|
||||
let skipped = 0;
|
||||
|
||||
for (const char of characters) {
|
||||
const existingUser = await prisma.user.findUnique({
|
||||
where: { email: char.email },
|
||||
include: { botConfig: true },
|
||||
});
|
||||
|
||||
if (existingUser && existingUser.botConfig) {
|
||||
await prisma.botConfig.update({
|
||||
where: { userId: existingUser.id },
|
||||
data: {
|
||||
personality: char.personality,
|
||||
primaryForums: char.primaryForums,
|
||||
activeHours: char.activeHours,
|
||||
},
|
||||
});
|
||||
console.log(` ↻ ${char.displayName} (updated primaryForums)`);
|
||||
updated++;
|
||||
continue;
|
||||
}
|
||||
|
||||
if (existingUser && !existingUser.botConfig) {
|
||||
await prisma.botConfig.create({
|
||||
data: {
|
||||
userId: existingUser.id,
|
||||
displayName: char.displayName,
|
||||
personality: char.personality,
|
||||
primaryForums: char.primaryForums,
|
||||
activeHours: char.activeHours,
|
||||
},
|
||||
});
|
||||
console.log(` + ${char.displayName} (botConfig created)`);
|
||||
updated++;
|
||||
continue;
|
||||
}
|
||||
|
||||
const user = await prisma.user.create({
|
||||
data: {
|
||||
email: char.email,
|
||||
name: char.displayName,
|
||||
oauthProvider: "bot",
|
||||
oauthId: `bot_${char.key}`,
|
||||
role: "user",
|
||||
isBot: true,
|
||||
},
|
||||
});
|
||||
|
||||
await prisma.botConfig.create({
|
||||
data: {
|
||||
userId: user.id,
|
||||
displayName: char.displayName,
|
||||
personality: char.personality,
|
||||
primaryForums: char.primaryForums,
|
||||
activeHours: char.activeHours,
|
||||
},
|
||||
});
|
||||
|
||||
console.log(` + ${char.displayName} (${char.key})`);
|
||||
created++;
|
||||
}
|
||||
|
||||
console.log(`Bot users: ${created} created, ${updated} updated, ${skipped} skipped.`);
|
||||
}
|
||||
|
||||
async function main() {
|
||||
console.log("=== Seed Bot Forum System ===\n");
|
||||
|
||||
await createIndustryCategories();
|
||||
console.log("");
|
||||
|
||||
await createBotUsers();
|
||||
console.log("");
|
||||
|
||||
console.log("=== Done ===");
|
||||
}
|
||||
|
||||
main()
|
||||
.catch((e) => {
|
||||
console.error(e);
|
||||
process.exit(1);
|
||||
})
|
||||
.finally(async () => {
|
||||
await prisma.$disconnect();
|
||||
});
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
|
||||
@@ -2,7 +2,7 @@ import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -57,6 +57,14 @@ const TASK_DEFS = [
|
||||
description: "每天早上7:30从多源RSS搜索真实AI新闻，由DeepSeek整理格式生成当日日报",
|
||||
config: { sources: ["36kr", "IT之家", "开源中国", "GoogleNews", "HackerNews"], model: "deepseek-v4-pro" },
|
||||
},
|
||||
{
|
||||
taskKey: "bot-activity",
|
||||
taskName: "Bot活跃度调度",
|
||||
enabled: true,
|
||||
cronExpr: "0 8,12,16,20 * * *",
|
||||
description: "每天4次（8点/12点/16点/20点）调度行业论坛Bot发言：选2个论坛，发起话题或回复",
|
||||
config: { forumsPerRun: 2, model: "deepseek-chat" },
|
||||
},
|
||||
];
|
||||
|
||||
async function main() {
|
||||
|
||||
@@ -4,7 +4,7 @@ import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -94,7 +94,7 @@ async function main() {
|
||||
let totalNews = 0;
|
||||
let foundTools = 0;
|
||||
let importedTools = 0;
|
||||
const errors: string[] = [];
|
||||
const errors = [];
|
||||
|
||||
const existingNames = new Set([
|
||||
...(await prisma.tool.findMany({ select: { name: true } })).map((t) => t.name.toLowerCase()),
|
||||
|
||||
@@ -3,7 +3,7 @@ import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -53,8 +53,10 @@ async function main() {
|
||||
});
|
||||
const pendingTools = await prisma.pendingTool.findMany({
|
||||
where: { status: "pending" },
|
||||
select: { id: true, name: true, websiteUrl: true, logoUrl: true, checkWebsiteOk: true, checkLogoOk: true },
|
||||
select: { id: true, name: true, websiteUrl: true, logoUrl: true, checkWebsiteOk: true, checkLogoOk: true, categoryId: true },
|
||||
});
|
||||
const firstCategory = await prisma.category.findFirst({ select: { id: true } });
|
||||
const defaultCategoryId = firstCategory?.id || 1;
|
||||
|
||||
console.log(` 已发布工具: ${tools.length}, 待审核: ${pendingTools.length}`);
|
||||
|
||||
@@ -107,7 +109,7 @@ async function main() {
|
||||
data: {
|
||||
name: pt.name,
|
||||
slug,
|
||||
categoryId: pt.categoryId || 1,
|
||||
categoryId: pt.categoryId || defaultCategoryId,
|
||||
description: pt.description || "",
|
||||
logoUrl: pt.logoUrl,
|
||||
websiteUrl: pt.websiteUrl || "",
|
||||
|
||||
@@ -3,7 +3,7 @@ import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import { Octokit } from "octokit";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -47,6 +47,7 @@ async function main() {
|
||||
}
|
||||
|
||||
try {
|
||||
await new Promise((r) => setTimeout(r, 300));
|
||||
const { data } = await octokit.rest.repos.get({ owner: parsed.owner, repo: parsed.repo });
|
||||
const currentStars = data.stargazers_count;
|
||||
|
||||
@@ -92,10 +93,6 @@ async function main() {
|
||||
errors.push(`${skill.name}: ${e.message}`);
|
||||
console.log(` ❌ ${skill.name}: ${e.message}`);
|
||||
}
|
||||
|
||||
if (updated % 5 === 0) {
|
||||
await new Promise((r) => setTimeout(r, 1000));
|
||||
}
|
||||
}
|
||||
|
||||
const endTime = new Date();
|
||||
|
||||
@@ -5,7 +5,7 @@ import OpenAI from "openai";
|
||||
import "dotenv/config";
|
||||
import { withRetry } from "./lib/retry.mjs";
|
||||
|
||||
const base = process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4";
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
@@ -165,7 +165,6 @@ async function main() {
|
||||
performance: parsed_review.performance || 3.0,
|
||||
overall,
|
||||
reviews: parsed_review.reviews || {},
|
||||
tags: parsed_review.tags || [],
|
||||
status: "PUBLISHED",
|
||||
reviewedAt: new Date(),
|
||||
},
|
||||
|
||||
@@ -0,0 +1,225 @@
|
||||
import { PrismaClient } from "@prisma/client";
|
||||
import { PrismaMariaDb } from "@prisma/adapter-mariadb";
|
||||
import "dotenv/config";
|
||||
|
||||
const base = (process.env.DATABASE_URL || "mysql://localhost:3306/zhuiguang_ai?charset=utf8mb4").replace("mysql://", "mariadb://");
|
||||
const sep = base.includes("?") ? "&" : "?";
|
||||
const connectionString = `${base}${sep}connection_limit=20&pool_timeout=30`;
|
||||
const adapter = new PrismaMariaDb(connectionString);
|
||||
const prisma = new PrismaClient({ adapter });
|
||||
|
||||
function ts() {
|
||||
return `[${new Date().toISOString()}]`;
|
||||
}
|
||||
|
||||
function generateSlug(title) {
|
||||
return title
|
||||
.toLowerCase()
|
||||
.replace(/[^a-z0-9\u4e00-\u9fa5]+/g, "-")
|
||||
.replace(/^-|-$/g, "");
|
||||
}
|
||||
|
||||
function ensureUniqueSlug(title) {
|
||||
const baseSlug = generateSlug(title) || "topic";
|
||||
const clean = baseSlug.substring(0, 80);
|
||||
const suffix = Date.now().toString(36);
|
||||
return `${clean}-${suffix}`;
|
||||
}
|
||||
|
||||
const CATEGORY_MAP = {
|
||||
"产品发布": "ai-tools",
|
||||
"product": "ai-tools",
|
||||
"融资投资": "ai-news",
|
||||
"business": "ai-news",
|
||||
"技术突破": "tech",
|
||||
"model": "tech",
|
||||
"政策法规": "ai-news",
|
||||
"policy": "ai-news",
|
||||
"开源项目": "tech",
|
||||
"opensource": "tech",
|
||||
"行业事件": "ai-news",
|
||||
"insight": "discuss",
|
||||
};
|
||||
|
||||
async function main() {
|
||||
if (!process.env.DATABASE_URL) throw new Error("缺少环境变量: DATABASE_URL");
|
||||
|
||||
const startTime = new Date();
|
||||
const now = new Date();
|
||||
const cnOffset = 8 * 60 * 60 * 1000;
|
||||
const cnTime = new Date(now.getTime() + cnOffset);
|
||||
const today = cnTime.toISOString().split("T")[0];
|
||||
|
||||
const yesterdayDate = new Date(cnTime.getTime() - 24 * 60 * 60 * 1000);
|
||||
const yesterday = yesterdayDate.toISOString().split("T")[0];
|
||||
|
||||
console.log(`${ts()} 📰 [Task7] 开始将AI日报分发到社区板块 ${today}`);
|
||||
|
||||
let report = await prisma.dailyReport.findFirst({
|
||||
where: { date: new Date(today), status: "published" },
|
||||
include: { items: { orderBy: { sortOrder: "asc" } } },
|
||||
});
|
||||
|
||||
if (!report) {
|
||||
console.log(`${ts()} ⚠ 今日(${today})无日报，尝试昨天(${yesterday})...`);
|
||||
report = await prisma.dailyReport.findFirst({
|
||||
where: { date: new Date(yesterday), status: "published" },
|
||||
include: { items: { orderBy: { sortOrder: "asc" } } },
|
||||
});
|
||||
}
|
||||
|
||||
if (!report || report.items.length === 0) {
|
||||
console.log(`${ts()} ⚠ 没有可用的日报条目，跳过`);
|
||||
await prisma.taskLog.create({
|
||||
data: {
|
||||
taskKey: "task7-news-to-community",
|
||||
taskName: "AI日报分发到社区",
|
||||
status: "completed",
|
||||
startedAt: startTime,
|
||||
finishedAt: new Date(),
|
||||
duration: new Date().getTime() - startTime.getTime(),
|
||||
result: { created: 0, skipped: 0, message: "没有可用的日报条目" },
|
||||
},
|
||||
});
|
||||
await prisma.$disconnect();
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`${ts()} 📋 日报ID=${report.id}, 共${report.items.length}条新闻`);
|
||||
|
||||
const forumCategories = await prisma.forumCategory.findMany({
|
||||
where: {
|
||||
slug: { in: ["ai-tools", "ai-news", "tech", "discuss"] },
|
||||
},
|
||||
});
|
||||
const categoryBySlug = {};
|
||||
for (const c of forumCategories) {
|
||||
categoryBySlug[c.slug] = c;
|
||||
}
|
||||
console.log(`${ts()} 📂 已加载${forumCategories.length}个社区板块: ${Object.keys(categoryBySlug).join(", ")}`);
|
||||
|
||||
const requiredSlugs = ["ai-tools", "ai-news", "tech", "discuss"];
|
||||
for (const slug of requiredSlugs) {
|
||||
if (!categoryBySlug[slug]) {
|
||||
throw new Error(`社区板块不存在: ${slug}，请先在管理后台创建社区分类`);
|
||||
}
|
||||
}
|
||||
|
||||
const adminUser = await prisma.user.findFirst({
|
||||
where: { role: "ADMIN" },
|
||||
orderBy: { createdAt: "asc" },
|
||||
});
|
||||
if (!adminUser) {
|
||||
throw new Error("管理员用户不存在，请先创建管理员账号");
|
||||
}
|
||||
console.log(`${ts()} 👤 管理员用户: ${adminUser.name || adminUser.email} (ID:${adminUser.id})`);
|
||||
|
||||
const topicCount = await prisma.forumTopic.count();
|
||||
console.log(`${ts()} 📊 社区现有话题数: ${topicCount}`);
|
||||
|
||||
let created = 0;
|
||||
let skipped = 0;
|
||||
const errors = [];
|
||||
|
||||
for (const item of report.items) {
|
||||
const forumSlug = CATEGORY_MAP[item.category];
|
||||
if (!forumSlug) {
|
||||
skipped++;
|
||||
console.log(`${ts()} ⏭ 跳过(未映射分类): [${item.category}] ${item.title}`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const forumCategory = categoryBySlug[forumSlug];
|
||||
if (!forumCategory) {
|
||||
skipped++;
|
||||
console.log(`${ts()} ⏭ 跳过(板块不存在): [${item.category}] ${item.title} → ${forumSlug}`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const existing = await prisma.forumTopic.findFirst({
|
||||
where: { title: item.title },
|
||||
});
|
||||
if (existing) {
|
||||
skipped++;
|
||||
console.log(`${ts()} ⏭ 跳过(已存在): ${item.title}`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const slug = ensureUniqueSlug(item.title);
|
||||
const content = item.summary
|
||||
? `${item.summary}\n\n${item.detail || ""}\n\n来源: ${item.sourceUrl || "AI日报"}`
|
||||
: `${item.detail || ""}\n\n来源: ${item.sourceUrl || "AI日报"}`;
|
||||
|
||||
try {
|
||||
const topic = await prisma.forumTopic.create({
|
||||
data: {
|
||||
categoryId: forumCategory.id,
|
||||
userId: adminUser.id,
|
||||
title: item.title,
|
||||
slug,
|
||||
content: content.trim(),
|
||||
},
|
||||
});
|
||||
|
||||
await prisma.forumCategory.update({
|
||||
where: { id: forumCategory.id },
|
||||
data: { topicCount: { increment: 1 } },
|
||||
});
|
||||
|
||||
created++;
|
||||
console.log(`${ts()} ✅ 已创建话题: [${forumCategory.name}] ${item.title} (ID:${topic.id})`);
|
||||
} catch (e) {
|
||||
errors.push(`${item.title}: ${e.message}`);
|
||||
console.error(`${ts()} ❌ 创建话题失败: ${item.title} - ${e.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
const endTime = new Date();
|
||||
const duration = endTime.getTime() - startTime.getTime();
|
||||
const result = {
|
||||
reportId: report.id,
|
||||
reportDate: report.date.toISOString().split("T")[0],
|
||||
totalItems: report.items.length,
|
||||
created,
|
||||
skipped,
|
||||
duration: `${(duration / 1000).toFixed(1)}s`,
|
||||
};
|
||||
|
||||
console.log(`\n${ts()} 🏁 [Task7] 完成: 创建${created}个话题, 跳过${skipped}个, 耗时${result.duration}`);
|
||||
|
||||
await prisma.taskLog.create({
|
||||
data: {
|
||||
taskKey: "task7-news-to-community",
|
||||
taskName: "AI日报分发到社区",
|
||||
status: errors.length > 0 && created === 0 ? "failed" : "completed",
|
||||
startedAt: startTime,
|
||||
finishedAt: endTime,
|
||||
duration,
|
||||
result,
|
||||
error: errors.length > 0 ? errors.slice(0, 10).join("\n") : null,
|
||||
},
|
||||
});
|
||||
|
||||
await prisma.$disconnect();
|
||||
}
|
||||
|
||||
main().catch(async (e) => {
|
||||
console.error(`${ts()} ❌ 任务七失败:`, e.message);
|
||||
if (prisma) {
|
||||
try {
|
||||
await prisma.taskLog.create({
|
||||
data: {
|
||||
taskKey: "task7-news-to-community",
|
||||
taskName: "AI日报分发到社区",
|
||||
status: "failed",
|
||||
startedAt: new Date(),
|
||||
finishedAt: new Date(),
|
||||
duration: 0,
|
||||
error: e.message,
|
||||
},
|
||||
});
|
||||
} catch {}
|
||||
await prisma.$disconnect();
|
||||
}
|
||||
process.exit(1);
|
||||
});
|
||||
@@ -0,0 +1,90 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
import fs from 'fs';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
const packageJsonPath = path.join(__dirname, '../package.json');
|
||||
|
||||
function readVersion() {
|
||||
const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
|
||||
return packageJson.version;
|
||||
}
|
||||
|
||||
function parseVersion(versionStr) {
|
||||
const match = versionStr.match(/^v?(\d+)\.(\d+)\.(\d+)$/i);
|
||||
if (!match) {
|
||||
throw new Error(`无效的版本号格式: ${versionStr}，应为 V{major}.{minor}.{patch}`);
|
||||
}
|
||||
return {
|
||||
major: parseInt(match[1], 10),
|
||||
minor: parseInt(match[2], 10),
|
||||
patch: parseInt(match[3], 10)
|
||||
};
|
||||
}
|
||||
|
||||
function incrementVersion(currentVersion) {
|
||||
const { major, minor, patch } = parseVersion(currentVersion);
|
||||
|
||||
if (patch >= 20) {
|
||||
return {
|
||||
major,
|
||||
minor: minor + 1,
|
||||
patch: 0
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
major,
|
||||
minor,
|
||||
patch: patch + 1
|
||||
};
|
||||
}
|
||||
|
||||
function formatVersion({ major, minor, patch }) {
|
||||
return `V${major}.${minor}.${patch}`;
|
||||
}
|
||||
|
||||
function updatePackageJson(newVersion) {
|
||||
const packageJson = JSON.parse(fs.readFileSync(packageJsonPath, 'utf8'));
|
||||
packageJson.version = newVersion;
|
||||
fs.writeFileSync(packageJsonPath, JSON.stringify(packageJson, null, 2) + '\n', 'utf8');
|
||||
}
|
||||
|
||||
function main() {
|
||||
try {
|
||||
const currentVersion = readVersion();
|
||||
console.log(`当前版本: ${currentVersion}`);
|
||||
|
||||
const newVersionObj = incrementVersion(currentVersion);
|
||||
const newVersion = formatVersion(newVersionObj);
|
||||
|
||||
console.log(`新版本号: ${newVersion}`);
|
||||
|
||||
updatePackageJson(newVersion);
|
||||
console.log(`package.json 已更新`);
|
||||
|
||||
console.log(`\n如需创建git tag，请执行:`);
|
||||
console.log(`git tag ${newVersion.toLowerCase()}`);
|
||||
console.log(`git push origin ${newVersion.toLowerCase()}`);
|
||||
|
||||
} catch (error) {
|
||||
console.error(`错误: ${error.message}`);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
if (process.argv[1] === fileURLToPath(import.meta.url)) {
|
||||
main();
|
||||
}
|
||||
|
||||
export {
|
||||
readVersion,
|
||||
parseVersion,
|
||||
incrementVersion,
|
||||
formatVersion,
|
||||
updatePackageJson
|
||||
};
|
||||
@@ -13,6 +13,12 @@ export async function POST(request: Request) {
|
||||
if (!Array.isArray(ids) || ids.length === 0) {
|
||||
return NextResponse.json({ error: "ids数组不能为空" }, { status: 400 });
|
||||
}
|
||||
if (ids.length > 500) {
|
||||
return NextResponse.json({ error: "一次最多处理500条" }, { status: 400 });
|
||||
}
|
||||
|
||||
const defaultCat = await prisma.skillCategory.findFirst({ select: { id: true } });
|
||||
const defaultCategoryId = defaultCat?.id ?? 0;
|
||||
|
||||
const pendings = await prisma.pendingSkill.findMany({
|
||||
where: { id: { in: ids } },
|
||||
@@ -92,7 +98,7 @@ export async function POST(request: Request) {
|
||||
logoUrl: pending.logoUrl,
|
||||
sourceUrl: pending.sourceUrl || "",
|
||||
sourceType: pending.sourceType || "github",
|
||||
categoryId: pending.categoryId || 1,
|
||||
categoryId: pending.categoryId || defaultCategoryId,
|
||||
rating: pending.rating || 0,
|
||||
features: pending.features ?? undefined,
|
||||
tags: pending.tags ?? undefined,
|
||||
|
||||
@@ -7,6 +7,9 @@ export async function POST() {
|
||||
if (authError) return authError;
|
||||
|
||||
try {
|
||||
const defaultCat = await prisma.skillCategory.findFirst({ select: { id: true } });
|
||||
const defaultCategoryId = defaultCat?.id ?? 0;
|
||||
|
||||
const pendingSkills = await prisma.pendingSkill.findMany({
|
||||
where: { status: "pending" },
|
||||
});
|
||||
@@ -62,7 +65,7 @@ export async function POST() {
|
||||
logoUrl: pending.logoUrl,
|
||||
sourceUrl: pending.sourceUrl || "",
|
||||
sourceType: pending.sourceType || "github",
|
||||
categoryId: pending.categoryId || 1,
|
||||
categoryId: pending.categoryId || defaultCategoryId,
|
||||
rating: pending.rating || 0,
|
||||
features: pending.features ?? undefined,
|
||||
tags: pending.tags ?? undefined,
|
||||
|
||||
@@ -13,6 +13,12 @@ export async function POST(request: Request) {
|
||||
if (!Array.isArray(ids) || ids.length === 0) {
|
||||
return NextResponse.json({ error: "ids数组不能为空" }, { status: 400 });
|
||||
}
|
||||
if (ids.length > 500) {
|
||||
return NextResponse.json({ error: "一次最多处理500条" }, { status: 400 });
|
||||
}
|
||||
|
||||
const defaultCat = await prisma.category.findFirst({ select: { id: true } });
|
||||
const defaultCategoryId = defaultCat?.id ?? 0;
|
||||
|
||||
const pendings = await prisma.pendingTool.findMany({
|
||||
where: { id: { in: ids } },
|
||||
@@ -97,7 +103,7 @@ export async function POST(request: Request) {
|
||||
description: pending.description || "",
|
||||
websiteUrl: pending.websiteUrl || "",
|
||||
logoUrl: pending.logoUrl,
|
||||
categoryId: pending.categoryId || 1,
|
||||
categoryId: pending.categoryId || defaultCategoryId,
|
||||
pricingModel: (pending.pricingModel || "freemium") as "free" | "freemium" | "paid" | "subscription",
|
||||
pricingDetail: pending.pricingDetail,
|
||||
features: pending.features ?? undefined,
|
||||
|
||||
@@ -10,6 +10,7 @@ export async function GET() {
|
||||
{ taskKey: "task5-update-stars", taskName: "更新星值", cronExpr: "0 1 * * *", enabled: true, desc: "更新所有GitHub技能的最新Stars数，计算日/周/月变化趋势" },
|
||||
{ taskKey: "task6-review-hot", taskName: "评测热门", cronExpr: "0 4 * * *", enabled: true, desc: "对未评测的最热门2个AI技能进行五维深度评测并自动发布" },
|
||||
{ taskKey: "daily-news", taskName: "AI日报生成", cronExpr: "30 7 * * *", enabled: true, desc: "搜索真实新闻素材，AI整理格式生成当日AI日报" },
|
||||
{ taskKey: "task7-news-to-community", taskName: "新闻分发到社区", cronExpr: "0 8 * * *", enabled: true, desc: "将AI日报条目自动分发到社区对应板块创建话题" },
|
||||
];
|
||||
|
||||
const configs = await prisma.taskConfig.findMany();
|
||||
|
||||
@@ -14,6 +14,7 @@ const SCRIPT_MAP: Record<string, string> = {
|
||||
"task5-update-stars": "scripts/task5-update-stars.mjs",
|
||||
"task6-review-hot": "scripts/task6-review-hot.mjs",
|
||||
"daily-news": "scripts/daily-news.mjs",
|
||||
"task7-news-to-community": "scripts/task7-news-to-community.mjs",
|
||||
};
|
||||
|
||||
const PROJECT_ROOT = process.env.SCRIPTS_ROOT || process.cwd();
|
||||
|
||||
@@ -53,9 +53,21 @@ export async function GET(request: Request) {
|
||||
}
|
||||
|
||||
export async function POST(request: Request) {
|
||||
const authError = await requireAdmin();
|
||||
if (authError) return authError;
|
||||
|
||||
try {
|
||||
const body = await request.json();
|
||||
|
||||
if (!body.name || !body.websiteUrl || !body.categoryId) {
|
||||
return NextResponse.json({ error: "名称、网址、分类ID不能为空" }, { status: 400 });
|
||||
}
|
||||
|
||||
const existingCategory = await prisma.category.findUnique({ where: { id: body.categoryId } });
|
||||
if (!existingCategory) {
|
||||
return NextResponse.json({ error: "分类ID不存在" }, { status: 400 });
|
||||
}
|
||||
|
||||
let slug = body.slug || body.name.toLowerCase().replace(/[^a-z0-9]+/g, "-").replace(/^-|-$/g, "") || "tool";
|
||||
const existing = await prisma.tool.findUnique({ where: { slug } });
|
||||
if (existing) {
|
||||
@@ -66,7 +78,7 @@ export async function POST(request: Request) {
|
||||
data: {
|
||||
name: body.name,
|
||||
slug,
|
||||
categoryId: body.categoryId || 1,
|
||||
categoryId: body.categoryId,
|
||||
description: body.description || "",
|
||||
logoUrl: body.logoUrl || null,
|
||||
websiteUrl: body.websiteUrl || "",
|
||||
|
||||
@@ -0,0 +1,40 @@
|
||||
import { prisma } from "@/lib/prisma";
|
||||
import { NextResponse } from "next/server";
|
||||
|
||||
export const dynamic = "force-dynamic";
|
||||
|
||||
export async function GET(
|
||||
_req: Request,
|
||||
{ params }: { params: { id: string } }
|
||||
) {
|
||||
const userId = parseInt(params.id);
|
||||
if (isNaN(userId)) {
|
||||
return NextResponse.json({ error: "无效的用户ID" }, { status: 400 });
|
||||
}
|
||||
|
||||
const user = await prisma.user.findUnique({
|
||||
where: { id: userId },
|
||||
include: { botConfig: true },
|
||||
});
|
||||
|
||||
if (!user || !user.isBot) {
|
||||
return NextResponse.json({ error: "未找到该Bot" }, { status: 404 });
|
||||
}
|
||||
|
||||
return NextResponse.json({
|
||||
id: user.id,
|
||||
name: user.name,
|
||||
email: user.email,
|
||||
avatarUrl: user.avatarUrl,
|
||||
isBot: user.isBot,
|
||||
level: user.level,
|
||||
points: user.points,
|
||||
botConfig: user.botConfig
|
||||
? {
|
||||
displayName: user.botConfig.displayName,
|
||||
personality: user.botConfig.personality,
|
||||
primaryForums: user.botConfig.primaryForums,
|
||||
}
|
||||
: null,
|
||||
});
|
||||
}
|
||||
@@ -4,6 +4,19 @@ import { useState, useEffect } from "react";
|
||||
import Link from "next/link";
|
||||
import { getLevelInfo } from "@/lib/level-config";
|
||||
|
||||
const INDUSTRY_FORUMS = [
|
||||
{ name: "电商零售", slug: "ecommerce", icon: "🛒" },
|
||||
{ name: "AI智能科技", slug: "ai-tech", icon: "🤖" },
|
||||
{ name: "房地产", slug: "real-estate", icon: "🏠" },
|
||||
{ name: "金融投资", slug: "finance", icon: "📈" },
|
||||
{ name: "餐饮食品", slug: "food", icon: "🍜" },
|
||||
{ name: "自媒体内容", slug: "content", icon: "🎬" },
|
||||
{ name: "本地生活", slug: "local-life", icon: "🏪" },
|
||||
{ name: "大健康", slug: "health", icon: "💊" },
|
||||
{ name: "教育培训", slug: "education", icon: "📚" },
|
||||
{ name: "外贸跨境", slug: "cross-border", icon: "🌏" },
|
||||
];
|
||||
|
||||
interface UserRanking {
|
||||
id: number;
|
||||
name: string | null;
|
||||
@@ -77,6 +90,30 @@ export function CommunitySidebar() {
|
||||
return (
|
||||
<div className="sidebar-bg rounded-xl p-3 sticky top-[68px] max-h-[calc(100vh-76px)] overflow-y-auto scrollbar-thin space-y-4">
|
||||
|
||||
{/* Industry Forums */}
|
||||
<div>
|
||||
<div className="flex items-center gap-2 px-2 py-1 mb-2">
|
||||
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" className="text-indigo-500 shrink-0">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" d="M19 21V5a2 2 0 00-2-2H7a2 2 0 00-2 2v16m14 0h2m-2 0H5m0 0H3m6-8h1m4 0h1m-6 4h1m4 0h1" />
|
||||
</svg>
|
||||
<span className="text-[12px] font-semibold text-foreground/80">行业论坛</span>
|
||||
</div>
|
||||
<div className="space-y-0.5">
|
||||
{INDUSTRY_FORUMS.map((forum) => (
|
||||
<Link
|
||||
key={forum.slug}
|
||||
href={`/community/${forum.slug}`}
|
||||
className="flex items-center gap-2 rounded-lg px-3 py-2 text-[11px] transition-all duration-200 text-muted-foreground hover:bg-white hover:text-sky-600 hover:shadow-sm"
|
||||
>
|
||||
<span className="text-sm shrink-0">{forum.icon}</span>
|
||||
<span className="flex-1 truncate text-left">{forum.name}</span>
|
||||
</Link>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className="h-px bg-border/40" />
|
||||
|
||||
{/* Monthly Active Users */}
|
||||
<div>
|
||||
<div className="flex items-center gap-2 px-2 py-1 mb-2">
|
||||
|
||||
@@ -15,6 +15,11 @@ export default async function CategoryPage({ params, searchParams }: Props) {
|
||||
|
||||
if (!category) notFound();
|
||||
|
||||
const childCategories = await prisma.forumCategory.findMany({
|
||||
where: { parentId: category.id },
|
||||
select: { id: true, name: true, slug: true },
|
||||
});
|
||||
|
||||
const sort = searchParams.sort || "latest";
|
||||
const page = parseInt(searchParams.page || "1", 10);
|
||||
const pageSize = 20;
|
||||
@@ -30,7 +35,7 @@ export default async function CategoryPage({ params, searchParams }: Props) {
|
||||
where: { categoryId: category.id },
|
||||
include: {
|
||||
category: { select: { name: true, slug: true, icon: true } },
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true } },
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true, isBot: true } },
|
||||
_count: { select: { posts: true } },
|
||||
},
|
||||
orderBy: [{ isPinned: "desc" }, orderBy],
|
||||
@@ -70,6 +75,26 @@ export default async function CategoryPage({ params, searchParams }: Props) {
|
||||
))}
|
||||
</div>
|
||||
|
||||
{childCategories.length > 0 && (
|
||||
<div className="flex flex-wrap items-center gap-2 mb-6">
|
||||
<a
|
||||
href={`/community/${category.slug}`}
|
||||
className="px-3 py-1.5 rounded-lg text-sm bg-primary text-white"
|
||||
>
|
||||
全部
|
||||
</a>
|
||||
{childCategories.map((child) => (
|
||||
<a
|
||||
key={child.id}
|
||||
href={`/community/${child.slug}`}
|
||||
className="px-3 py-1.5 rounded-lg text-sm bg-white border border-border/40 text-muted-foreground hover:border-border/60 hover:text-foreground transition-colors"
|
||||
>
|
||||
{child.name}
|
||||
</a>
|
||||
))}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<div className="space-y-3">
|
||||
{topics.map((topic) => {
|
||||
const initial = topic.user.name?.charAt(0).toUpperCase() || "?";
|
||||
@@ -99,7 +124,7 @@ export default async function CategoryPage({ params, searchParams }: Props) {
|
||||
</h3>
|
||||
</div>
|
||||
<div className="mt-1.5 flex items-center gap-3 text-xs text-muted-foreground/50">
|
||||
<span>{topic.user.name || topic.user.email?.split("@")[0]}</span>
|
||||
<span>{topic.user.name || topic.user.email?.split("@")[0]}{topic.user.isBot && <span className="ml-1 px-1 py-0.5 text-[9px] font-medium bg-sky-100 text-sky-600 rounded">AI</span>}</span>
|
||||
<span>{topic.createdAt?.toLocaleDateString("zh-CN")}</span>
|
||||
<span>{topic._count.posts}回复</span>
|
||||
<span>{topic.viewCount}浏览</span>
|
||||
|
||||
@@ -0,0 +1,66 @@
|
||||
"use client";
|
||||
|
||||
import { useState } from "react";
|
||||
|
||||
interface ReplyFormProps {
|
||||
topicId: number;
|
||||
isLocked: boolean;
|
||||
}
|
||||
|
||||
export function ReplyForm({ topicId, isLocked }: ReplyFormProps) {
|
||||
const [submitting, setSubmitting] = useState(false);
|
||||
|
||||
if (isLocked) {
|
||||
return (
|
||||
<div className="mt-8 text-center py-6 rounded-xl border border-border/40 bg-muted/20">
|
||||
<p className="text-sm text-muted-foreground">此话题已锁定，无法回复</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="mt-8">
|
||||
<form
|
||||
onSubmit={async (e) => {
|
||||
e.preventDefault();
|
||||
setSubmitting(true);
|
||||
const formData = new FormData(e.currentTarget);
|
||||
const content = formData.get("content") as string;
|
||||
if (!content.trim()) {
|
||||
setSubmitting(false);
|
||||
return;
|
||||
}
|
||||
const res = await fetch(`/api/forum/topics/${topicId}/posts`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ content }),
|
||||
});
|
||||
setSubmitting(false);
|
||||
if (res.ok) {
|
||||
window.location.reload();
|
||||
}
|
||||
}}
|
||||
className="rounded-xl border border-border/50 bg-white p-5 shadow-[0_1px_2px_rgba(0,0,0,0.04)]"
|
||||
>
|
||||
<h3 className="text-sm font-semibold mb-3">发表回复</h3>
|
||||
<textarea
|
||||
name="content"
|
||||
placeholder="写下你的回复..."
|
||||
rows={4}
|
||||
maxLength={5000}
|
||||
className="w-full resize-none rounded-lg border border-border/60 bg-white px-3 py-2 text-sm focus:outline-none focus:border-primary/50 focus:ring-2 focus:ring-primary/15 transition-colors placeholder:text-muted-foreground/40 mb-3"
|
||||
disabled={submitting}
|
||||
/>
|
||||
<div className="flex justify-end">
|
||||
<button
|
||||
type="submit"
|
||||
disabled={submitting}
|
||||
className="rounded-lg bg-primary text-white text-sm px-5 py-2 hover:bg-primary/90 transition-colors shadow-sm shadow-primary/20 disabled:opacity-50"
|
||||
>
|
||||
{submitting ? "提交中..." : "发表回复"}
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -2,6 +2,7 @@ import { prisma } from "@/lib/prisma";
|
||||
import { notFound } from "next/navigation";
|
||||
import { getServerSession } from "next-auth";
|
||||
import { authOptions } from "@/lib/auth";
|
||||
import { ReplyForm } from "./ReplyForm";
|
||||
|
||||
export const dynamic = "force-dynamic";
|
||||
|
||||
@@ -17,7 +18,7 @@ export default async function TopicPage({ params }: Props) {
|
||||
where: { id: topicId },
|
||||
include: {
|
||||
category: { select: { name: true, slug: true, icon: true } },
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true } },
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true, isBot: true } },
|
||||
_count: { select: { posts: true } },
|
||||
},
|
||||
});
|
||||
@@ -32,7 +33,7 @@ export default async function TopicPage({ params }: Props) {
|
||||
const posts = await prisma.forumPost.findMany({
|
||||
where: { topicId },
|
||||
include: {
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true } },
|
||||
user: { select: { id: true, name: true, email: true, avatarUrl: true, level: true, points: true, isBot: true } },
|
||||
},
|
||||
orderBy: { createdAt: "asc" },
|
||||
take: 50,
|
||||
@@ -79,7 +80,7 @@ export default async function TopicPage({ params }: Props) {
|
||||
</div>
|
||||
)}
|
||||
<div>
|
||||
<p className="text-sm font-medium">{topic.user.name || topic.user.email?.split("@")[0]}</p>
|
||||
<p className="text-sm font-medium">{topic.user.name || topic.user.email?.split("@")[0]}{topic.user.isBot && <span className="ml-1.5 px-1.5 py-0.5 text-[9px] font-medium bg-gradient-to-r from-sky-100 to-purple-100 text-sky-700 rounded-full border border-sky-200/50">🤖 AI</span>}</p>
|
||||
<p className="text-xs text-muted-foreground/50">
|
||||
{topic.createdAt?.toLocaleDateString("zh-CN")} {topic.createdAt?.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit" })}
|
||||
</p>
|
||||
@@ -113,7 +114,7 @@ export default async function TopicPage({ params }: Props) {
|
||||
</div>
|
||||
)}
|
||||
<div>
|
||||
<p className="text-sm font-medium">{post.user.name || post.user.email?.split("@")[0]}</p>
|
||||
<p className="text-sm font-medium">{post.user.name || post.user.email?.split("@")[0]}{post.user.isBot && <span className="ml-1.5 px-1.5 py-0.5 text-[9px] font-medium bg-gradient-to-r from-sky-100 to-purple-100 text-sky-700 rounded-full border border-sky-200/50">🤖 AI</span>}</p>
|
||||
<p className="text-xs text-muted-foreground/50">
|
||||
{post.createdAt?.toLocaleDateString("zh-CN")} {post.createdAt?.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit" })}
|
||||
</p>
|
||||
@@ -133,52 +134,7 @@ export default async function TopicPage({ params }: Props) {
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{!topic.isLocked && (
|
||||
<div className="mt-8">
|
||||
<form
|
||||
onSubmit={async (e) => {
|
||||
e.preventDefault();
|
||||
const formData = new FormData(e.currentTarget);
|
||||
const content = formData.get("content") as string;
|
||||
if (!content.trim()) return;
|
||||
|
||||
const res = await fetch(`/api/forum/topics/${topicId}/posts`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ content }),
|
||||
});
|
||||
|
||||
if (res.ok) {
|
||||
window.location.reload();
|
||||
}
|
||||
}}
|
||||
className="rounded-xl border border-border/50 bg-white p-5 shadow-[0_1px_2px_rgba(0,0,0,0.04)]"
|
||||
>
|
||||
<h3 className="text-sm font-semibold mb-3">发表回复</h3>
|
||||
<textarea
|
||||
name="content"
|
||||
placeholder="写下你的回复..."
|
||||
rows={4}
|
||||
maxLength={5000}
|
||||
className="w-full resize-none rounded-lg border border-border/60 bg-white px-3 py-2 text-sm focus:outline-none focus:border-primary/50 focus:ring-2 focus:ring-primary/15 transition-colors placeholder:text-muted-foreground/40 mb-3"
|
||||
/>
|
||||
<div className="flex justify-end">
|
||||
<button
|
||||
type="submit"
|
||||
className="rounded-lg bg-primary text-white text-sm px-5 py-2 hover:bg-primary/90 transition-colors shadow-sm shadow-primary/20"
|
||||
>
|
||||
发表回复
|
||||
</button>
|
||||
</div>
|
||||
</form>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{topic.isLocked && (
|
||||
<div className="mt-8 text-center py-6 rounded-xl border border-border/40 bg-muted/20">
|
||||
<p className="text-sm text-muted-foreground">此话题已锁定，无法回复</p>
|
||||
</div>
|
||||
)}
|
||||
<ReplyForm topicId={topicId} isLocked={topic.isLocked} />
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
@@ -251,7 +251,7 @@ export default function SkillsPageClient({
|
||||
<HeroBanner
|
||||
title="追光"
|
||||
highlight="Skills"
|
||||
colorScheme="crimson"
|
||||
colorScheme="orange"
|
||||
stats={[
|
||||
{ label: "AI技能", value: totalSkills, unit: "个" },
|
||||
{ label: "分类", value: categories.length, unit: "个" },
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
|
||||
import { useEffect, useState, useRef, useCallback } from "react";
|
||||
|
||||
type ColorScheme = "cosmos" | "aurora" | "dawn" | "forest" | "crimson";
|
||||
type ColorScheme = "cosmos" | "aurora" | "dawn" | "forest" | "crimson" | "orange";
|
||||
|
||||
interface HeroBannerProps {
|
||||
title: string;
|
||||
@@ -127,12 +127,27 @@ const SCHEMES: Record<ColorScheme, SchemeConfig> = {
|
||||
{ position: "75% 60%", color: "rgba(251,113,133,0.12)" },
|
||||
],
|
||||
},
|
||||
orange: {
|
||||
bgGradient: "linear-gradient(135deg, #92400e 0%, #b45309 25%, #d97706 55%, #f59e0b 100%)",
|
||||
highlight: "#fde68a",
|
||||
star: { r: 253, g: 230, b: 138 },
|
||||
shoot: { r: 252, g: 211, b: 77 },
|
||||
topBorder: "linear-gradient(90deg, transparent, rgba(251,191,36,0.5), rgba(245,158,11,0.4), transparent)",
|
||||
bottomBorder: "linear-gradient(90deg, transparent, rgba(251,191,36,0.4), rgba(245,158,11,0.3), transparent)",
|
||||
statBg: "rgba(253,211,77,0.15)",
|
||||
statColor: "#fef3c7",
|
||||
statBorder: "1px solid rgba(245,158,11,0.25)",
|
||||
overlays: [
|
||||
{ position: "40% 40%", color: "rgba(245,158,11,0.18)" },
|
||||
{ position: "75% 60%", color: "rgba(253,211,77,0.12)" },
|
||||
],
|
||||
},
|
||||
};
|
||||
|
||||
const SCHEME_KEYS: ColorScheme[] = ["cosmos", "aurora", "dawn", "forest", "crimson"];
|
||||
|
||||
const STAR_COUNTS: Record<ColorScheme, number> = {
|
||||
cosmos: 120, aurora: 80, dawn: 100, forest: 90, crimson: 85,
|
||||
cosmos: 120, aurora: 80, dawn: 100, forest: 90, crimson: 85, orange: 80,
|
||||
};
|
||||
const SHOOTING_INTERVAL = 5000;
|
||||
|
||||
@@ -370,27 +385,27 @@ export function HeroBanner({
|
||||
<div className="relative w-36 h-36">
|
||||
{colorScheme === "cosmos" && (
|
||||
<svg className="w-full h-full" viewBox="0 0 144 144" fill="none">
|
||||
<circle cx="72" cy="72" r="60" stroke="rgba(147,197,253,0.25)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="30s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="45" stroke="rgba(191,219,254,0.20)" strokeWidth="0.5" fill="none" strokeDasharray="4 6"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="25s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="30" stroke="rgba(147,197,253,0.15)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="20s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="8" fill="rgba(147,197,253,0.25)" /><circle cx="72" cy="72" r="3" fill="rgba(191,219,254,0.8)" />
|
||||
<circle cx="72" cy="12" r="2" fill="rgba(191,219,254,0.6)"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="30s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="27" r="1.5" fill="rgba(147,197,253,0.5)"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="25s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="60" stroke="rgba(147,197,253,0.14)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="30s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="45" stroke="rgba(191,219,254,0.10)" strokeWidth="0.5" fill="none" strokeDasharray="4 6"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="25s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="30" stroke="rgba(147,197,253,0.08)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="20s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="8" fill="rgba(147,197,253,0.14)" /><circle cx="72" cy="72" r="3" fill="rgba(191,219,254,0.45)" />
|
||||
<circle cx="72" cy="12" r="2" fill="rgba(191,219,254,0.30)"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="30s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="27" r="1.5" fill="rgba(147,197,253,0.25)"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="25s" repeatCount="indefinite" /></circle>
|
||||
</svg>
|
||||
)}
|
||||
{colorScheme === "dawn" && (
|
||||
<svg className="w-full h-full" viewBox="0 0 144 144" fill="none">
|
||||
<defs><linearGradient id="dawn-sun" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" stopColor="#fbbf24" stopOpacity="0.4" /><stop offset="50%" stopColor="#f59e0b" stopOpacity="0.3" /><stop offset="100%" stopColor="#d97706" stopOpacity="0.2" /></linearGradient></defs>
|
||||
<circle cx="72" cy="72" r="60" stroke="rgba(251,191,36,0.20)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="35s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="45" stroke="rgba(245,158,11,0.15)" strokeWidth="0.5" fill="none" strokeDasharray="6 4"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="28s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="30" stroke="rgba(251,191,36,0.12)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="22s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="18" fill="url(#dawn-sun)" /><circle cx="72" cy="72" r="10" fill="rgba(251,191,36,0.25)" /><circle cx="72" cy="72" r="4" fill="rgba(253,230,138,0.7)" />
|
||||
<defs><linearGradient id="dawn-sun" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" stopColor="#fbbf24" stopOpacity="0.22" /><stop offset="50%" stopColor="#f59e0b" stopOpacity="0.15" /><stop offset="100%" stopColor="#d97706" stopOpacity="0.10" /></linearGradient></defs>
|
||||
<circle cx="72" cy="72" r="60" stroke="rgba(251,191,36,0.12)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="35s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="45" stroke="rgba(245,158,11,0.08)" strokeWidth="0.5" fill="none" strokeDasharray="6 4"><animateTransform attributeName="transform" type="rotate" from="360 72 72" to="0 72 72" dur="28s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="30" stroke="rgba(251,191,36,0.06)" strokeWidth="0.5" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="22s" repeatCount="indefinite" /></circle>
|
||||
<circle cx="72" cy="72" r="18" fill="url(#dawn-sun)" /><circle cx="72" cy="72" r="10" fill="rgba(251,191,36,0.12)" /><circle cx="72" cy="72" r="4" fill="rgba(253,230,138,0.35)" />
|
||||
{[0,45,90,135,180,225,270,315].map(deg => (
|
||||
<line key={deg} x1="72" y1="8" x2="72" y2="22" stroke="rgba(251,191,36,0.3)" strokeWidth="1" strokeLinecap="round" transform={`rotate(${deg} 72 72)`}><animateTransform attributeName="transform" type="rotate" from={`${deg} 72 72`} to={`${deg+360} 72 72`} dur="35s" repeatCount="indefinite" /></line>
|
||||
<line key={deg} x1="72" y1="8" x2="72" y2="22" stroke="rgba(251,191,36,0.15)" strokeWidth="1" strokeLinecap="round" transform={`rotate(${deg} 72 72)`}><animateTransform attributeName="transform" type="rotate" from={`${deg} 72 72`} to={`${deg+360} 72 72`} dur="35s" repeatCount="indefinite" /></line>
|
||||
))}
|
||||
</svg>
|
||||
)}
|
||||
{(colorScheme === "aurora" || colorScheme === "forest" || colorScheme === "crimson") && (
|
||||
{(colorScheme === "aurora" || colorScheme === "forest" || colorScheme === "crimson" || colorScheme === "orange") && (
|
||||
<svg className="w-full h-full" viewBox="0 0 144 144" fill="none">
|
||||
<defs><linearGradient id="orb-grad" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" stopColor={scheme.highlight} stopOpacity="0.3" /><stop offset="50%" stopColor={scheme.highlight} stopOpacity="0.15" /><stop offset="100%" stopColor={scheme.highlight} stopOpacity="0.25" /></linearGradient></defs>
|
||||
<circle cx="72" cy="72" r="55" stroke="url(#orb-grad)" strokeWidth="1" fill="none"><animateTransform attributeName="transform" type="rotate" from="0 72 72" to="360 72 72" dur="40s" repeatCount="indefinite" /></circle>
|
||||
|
||||
@@ -26,7 +26,7 @@ export const toolImportSchema = z.object({
|
||||
pricingDetail: z.string().optional(),
|
||||
features: z.array(z.string()).optional(),
|
||||
tags: z.array(z.string()).optional(),
|
||||
})).min(1, "tools 数组不能为空"),
|
||||
})).min(1, "tools 数组不能为空").max(100, "一次最多导入100条"),
|
||||
categoryId: z.number().int().positive("categoryId 必须为正整数"),
|
||||
});
|
||||
|
||||
@@ -39,7 +39,7 @@ export const skillImportSchema = z.object({
|
||||
rating: z.number().min(0).max(5).optional(),
|
||||
features: z.array(z.string()).optional(),
|
||||
tags: z.array(z.string()).optional(),
|
||||
})).min(1, "skills 数组不能为空"),
|
||||
})).min(1, "skills 数组不能为空").max(100, "一次最多导入100条"),
|
||||
categoryId: z.number().int().positive("categoryId 必须为正整数"),
|
||||
});
|
||||
|
||||
@@ -51,7 +51,7 @@ export const newsImportSchema = z.object({
|
||||
category: z.string().optional(),
|
||||
sourceUrl: z.string().optional(),
|
||||
hotScore: z.number().min(0).max(100).optional(),
|
||||
})).min(1, "items 数组不能为空"),
|
||||
})).min(1, "items 数组不能为空").max(50, "一次最多导入50条"),
|
||||
});
|
||||
|
||||
export const checkTypeSchema = z.object({
|
||||
|
||||
Reference in New Issue
Block a user