Codex
98 lines
2.6 KiB
Markdown
98 lines
2.6 KiB
Markdown
# SignalScout
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SignalScout 是一个自动运行的 AI 情报 Agent。它先用动态新闻搜索和 GitHub 官方搜索抓取候选证据，再使用 Grok 通过中转 API 生成最新 AI 新闻、模型发布、Agent 工具、融资动态和 GitHub 热门项目日报，并把结构化情报保存到 MySQL。
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## 主流程
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```text
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Scheduler
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-> AgentRunner
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-> News Search API 采集近期 AI 新闻候选
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-> GitHub Search API 采集近期热门 AI 项目候选
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-> Grok 研判新闻候选与 GitHub 候选
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-> MySQL signals/reports
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-> Markdown report file
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```
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## 本地配置
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复制环境变量：
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```bash
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cp .env.example .env
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```
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关键配置：
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```env
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SIGNALSCOUT_DATABASE_URL=mysql+pymysql://user:password@host:3306/signalscout?charset=utf8mb4
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SIGNALSCOUT_LLM_BASE_URL=https://api.zayuapi.com/v1
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SIGNALSCOUT_LLM_API_KEY=你的中转站 key
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SIGNALSCOUT_LLM_MODEL=grok-4.3
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SIGNALSCOUT_LLM_MAX_TOKENS=8000
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SIGNALSCOUT_NEWS_RECENT_DAYS=3
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SIGNALSCOUT_NEWS_MAX_ITEMS=60
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SIGNALSCOUT_NEWS_SEARCH_MAX_RECORDS=100
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SIGNALSCOUT_GITHUB_RECENT_DAYS=30
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SIGNALSCOUT_GITHUB_MIN_STARS=20
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SIGNALSCOUT_GITHUB_MAX_PROJECTS=40
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SIGNALSCOUT_AGENT_INTERVAL_MINUTES=30
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```
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单次运行的目标上限是新闻 60 条、GitHub 项目 40 条；实际入库数量会根据候选质量、链接去重和模型筛选结果浮动。
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## 本机运行
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按项目规则，本机 Python 使用：
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```text
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D:\Python\Python39\python.exe
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```
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在 WSL shell 中对应命令已经写进 `Makefile`：
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```bash
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make install
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make migrate
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make seed
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make run
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```
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后端启动后访问：
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```text
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http://127.0.0.1:8010/health
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http://127.0.0.1:8010/docs
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```
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## API
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- `GET /health`：服务健康检查
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- `GET /agent/runs`：查看最近运行记录
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- `GET /signals`：查看结构化情报，可用 `source_type=news` 或 `source_type=github` 查看单类信号
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- `GET /reports/latest`：查看最新日报
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- `GET /dashboard`：获取仪表盘数据
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- `POST /topics`：新增 Agent 跟踪主题
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- `GET /topics`：查看 Agent 跟踪主题
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- `GET /logs/recent`：查看最近运行日志
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## 部署
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部署文件使用和 `agent-desk` 一致的 Gitea + Jenkins 流水线结构：
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- Gitea 仓库：`https://gitea.jaycode.online/gitadmin/signalscout-backend`
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- Jenkins Job：`signalscout-backend`
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- 源码目录：`/opt/signalscout-source`
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- 发布目录：`/opt/signalscout`
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- 部署脚本：`deployment/jenkins/deploy_backend.sh`
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- systemd 服务：`deployment/systemd/signalscout.service`
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- Jenkins 流水线：`Jenkinsfile`
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默认域名：
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```text
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https://signalscout.jaycode.online/
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https://gitea.jaycode.online/
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https://jenkins.jaycode.online/
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```
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