feat: 军事科技每日资讯推送系统 - Docker部署 + 日志系统 + 数据目录重组
This commit is contained in:
poiuy
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# LLM API 配置
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DEEPSEEK_API_KEY=sk-or-v1-...
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# Feishu Webhook
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FEISHU_WEBHOOK_URL=https://open.feishu.cn/open-apis/bot/v2/hook/...
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# 可选：添加 token 的免费限额更高，不加也基本够用
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# GITHUB_TOKEN=
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# JINA_API_KEY=
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# 敏感文件
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.env
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!.env.example
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# 本地配置（使用时从 config.json.example 拷贝并修改）
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config.json
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!config.json.example
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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*.egg-info/
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dist/
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build/
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.venv
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# 测试
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.pytest_cache/
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.ruff_cache/
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.coverage
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htmlcov/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# 数据文件
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news-data/
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*.log
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# Claude/其他代理数据
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.omc/
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.claude/
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# Git worktrees
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.worktrees/
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# AI 每日资讯推送系统
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AI 驱动的 RSS 新闻聚合与推送系统，支持 400+ 信息源，使用 LLM 智能评分筛选，定时推送到 Discord/企业微信。
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当前阶段：MVP 已完成，支持 RSS 抓取、LLM 评分、定时推送、即时推送。
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## 技术栈
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- 语言：Python 3.10+
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- 框架：asyncio
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- 依赖：feedparser, aiohttp, croniter, openai
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- 构建：pip
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- 测试：pytest
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## 开发规则
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1. 任何代码改动如果与 docs/ 下的文档不一致，必须同步更新对应文档
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2. 产品决策变更（功能取舍、交互调整、设计修改）和任务进度 写入 docs/plan.md 的`## 技术决策记录` 和 `## 开发进度`
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3. 不确定的产品问题先问用户，不要自行决定
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4. 敏感信息（API Keys、Webhook URLs）通过环境变量管理，不硬编码
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5. config 有更新需要即时更新对应文档
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## 文档索引
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- 技术架构 → [docs/tech-spec.md](docs/tech-spec.md)
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- 开发计划 → [docs/plan.md](docs/plan.md)
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- 早报扩展板块设计（GitHub / HN / 洞察）→ [docs/extra-sections-design.md](docs/extra-sections-design.md)
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- 实施计划归档 → [docs/superpowers/plans/](docs/superpowers/plans/)
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MIT License
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Copyright (c) 2025-present
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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<h1 align="center">AI Daily</h1>
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<p align="center"><i>筛选值得关注的 AI 信号</i></p>
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<p align="center">
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<a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue?style=flat-square" alt="License: MIT" /></a>
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<img src="https://img.shields.io/badge/python-3.12%2B-3776AB?style=flat-square&logo=python&logoColor=white" alt="Python 3.12+" />
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<img src="https://img.shields.io/badge/uv-managed-DE5FE9?style=flat-square&logo=uv&logoColor=white" alt="uv managed" />
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<img src="https://img.shields.io/badge/RSS-400%2B%20sources-FFA500?style=flat-square&logo=rss&logoColor=white" alt="RSS 400+" />
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<img src="https://img.shields.io/badge/deploy-systemd-orange?style=flat-square&logo=linux&logoColor=white" alt="systemd" />
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</p>
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[](https://yeekal.com/daily/)
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<p align="center">AI 驱动的资讯聚合与推送系统｜<b>RSS · GitHub Trending · Hacker News</b> 三大板块｜LLM 智能评分｜推送到 Discord / 飞书</p>
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---
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## 核心特性
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- 🗞️ **三大内容板块** —— RSS 资讯（400+ 源）+ GitHub Trending + Hacker News 热帖，从媒体、开源、社区三个维度立体捕获 AI 动态
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- 🧠 **LLM 智能筛选** —— 评分过滤 + 跨日去重，只留下值得读的
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- ⚡ **即时推送** —— 热点新闻（≥90 分）实时触达，重大发布不错过
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- 📬 **每日汇总** —— 定时早晚报，早报叠加跨板块洞察段
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- 🔌 **多平台推送** —— 飞书、Discord 开箱即用，可扩展自定义平台
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- 🛠️ **零运维部署** —— systemd timer 一键安装，开机自启、故障重启
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---
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## 三大内容板块
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### 📰 RSS 资讯聚合
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聚合全球主流 AI 媒体、博客、Twitter 账号，默认 OPML 包含约 420 个优质源（源自 [BestBlogs](https://github.com/ginobefun/BestBlogs)）。LLM 逐条评分，只保留高质量内容。
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- 默认 60 分钟轮询，异步并发抓取
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- 评分维度：相关度、信息密度、时效性
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- 跨日上下文去重，同一事件不重复推送
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### ⭐ GitHub Trending
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抓取 GitHub trending 页面，LLM 深读 README / topics / metadata，从昙花一现的玩具仓库里挑出真正值得关注的项目。
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- 从 top 10 候选中精选 3 个（可配置）
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- 输出 deep-dive 摘要，附技术亮点与上手建议
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- 历史去重索引，推过的项目不再出现
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### 💬 Hacker News 热帖
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跟踪 HN 首页 AI 相关讨论，整合**外链正文 + 顶层评论树**，产出"内容总结 + 社区观点"双段式摘要。
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- 轻量 LLM 从首页 30 条中选出最值得读的故事
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- 抓取 L1 顶层评论 + L2 关键回复，字符预算受控
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- 外链通过 Jina Reader 拉取 markdown 正文
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## 系统架构
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```mermaid
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flowchart TB
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subgraph Sources["📥 数据源"]
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RSS["RSS Feeds<br/>400+ sources"]
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GH["GitHub Trending"]
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HN["Hacker News<br/>Front Page"]
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end
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subgraph Fetch["⚙️ Fetch 阶段"]
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F1["RSS Fetcher<br/>asyncio + feedparser"]
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F2["GH Scraper<br/>README deep-dive"]
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F3["HN Crawler<br/>Algolia + Jina Reader"]
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end
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subgraph LLMStage["🧠 LLM 评分与摘要"]
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Score["score / score_batch"]
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Digest["digest / immediate_push"]
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Insight["跨板块 insights"]
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end
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subgraph Store["💾 存储"]
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Files["news-data/<br/>fetch-*.json<br/>push-*.md"]
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end
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subgraph PushStage["📤 推送渠道"]
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Discord["Discord Webhook"]
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Feishu["飞书 Webhook"]
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end
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RSS --> F1 --> Score
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GH --> F2 --> Score
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HN --> F3 --> Score
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Score --> Digest
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Score --> Insight
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Digest --> Files
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Insight --> Files
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Files --> Discord
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Files --> Feishu
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```
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**调度说明**
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- `dnews-fetch.service`（默认每 60 分钟）：抓取 RSS → 评分 → 命中 ≥90 分立即推送
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- `dnews-push.service`（按 `push_cron`）：生成 digest 推送；当天最早一次额外触发 GitHub / HN / 跨板块洞察
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## 快速开始
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### 环境要求
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- Python 3.12+
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- [uv](https://docs.astral.sh/uv/) (Python 包管理器)
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- Linux + systemd（推荐使用一键部署）
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### 1. 配置环境变量
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在项目根目录创建 `.env` 文件，添加以下配置：
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```bash
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# LLM API（ OpenAI API 兼容接口）
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DEEPSEEK_API_KEY=your_api_key_here
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# 飞书 Webhook
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FEISHU_WEBHOOK_URL=your_feishu_webhook_url_here
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```
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从模板拷贝一份本地配置（`config.json` 已加入 `.gitignore`，不会提交）：
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```bash
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cp config.json.example config.json
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```
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然后在 `config.json` 中修改 `llm` 和 `push`
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```json
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{
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"llm": {
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"provider": "<whatever>", # openai compatiable
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"model": "<model id>",
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"baseUrl": "<base url>",
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"apiKeyName": "DEEPSEEK_API_KEY", #your api key name in .env>
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},
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"push": {
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"feishu": {
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"enabled": true,
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"apiKeyName": "FEISHU_WEBHOOK_URL"
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}
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},
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}
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```
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**获取飞书群机器人 Webhook**
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详细教程参考：[我用 RSS + LLM 搭建了一个 AI 热点追踪系统](https://yeekal.com//ai/ai-daily-news-tracker)
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1. 群组右上角设置 → 群机器人 → 添加机器人
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2. 选择 自定义机器人 → 点击 添加 → 复制 Webhook URL
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**获取 Discord Webhook：**
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1. 进入 Discord 服务器设置 →
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2. 整合 → Webhooks
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2. 创建新 Webhook，复制 URL
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### 2. 一键部署（推荐）
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将程序作为 systemd timer 部署，由系统负责定时触发、故障重启、开机自启。
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```bash
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./scripts/install.sh
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```
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脚本会自动同步依赖、安装 systemd 服务并按 `config.json` 中的调度配置启动定时任务，**机器重启后自动恢复**。安装成功后无需额外操作。
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### 3. 手动运行（可选）
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若不使用 systemd，也可以手动运行程序。先同步依赖（uv 会自动创建 `.venv`）：
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```bash
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uv sync
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```
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程序提供的子命令：
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```bash
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uv run python -m src.main check # 校验 LLM 接口可达性（部署期使用）
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uv run python -m src.main fetch # 单次抓取后退出（systemd timer 调用）
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uv run python -m src.main push # 单次推送后退出（systemd timer 调用）
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uv run python -m src.main loop # 长跑模式（本地开发/调试用）
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uv run python -m src.main github # 单跑 GitHub Trending 板块,打印不推送
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uv run python -m src.main hackernews # 单跑 Hacker News 板块,打印不推送
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```
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首次运行会自动创建 `news-data/` 目录并开始抓取数据。
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> 若未配置推送渠道，则可以在 news-data 目录查看生成的push信息
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---
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## 系统服务管理
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部署完成后，使用以下命令管理服务。
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### 常用命令
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安装后 `daily-news` 进入系统 PATH，可在任意目录调用：
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```bash
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daily-news status [N] # 查看 timer/service 状态 + 最近 N 行日志（默认 15）
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daily-news logs # 实时跟随日志（Ctrl+C 退出）
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daily-news start # 启动两个 timer
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daily-news stop # 停止两个 timer
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daily-news restart # 重启两个 timer（仅重置调度，不立即触发任务）
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daily-news help # 用法说明
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```
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手动立即触发一次任务（不影响下次调度）：
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```bash
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sudo systemctl start dnews-fetch.service
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sudo systemctl start dnews-push.service
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```
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### 修改配置后
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```bash
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./scripts/install.sh # 重新跑一次即可，幂等（重新渲染单元 + restart timer）
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```
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修改 `config.json` 中的 `schedule`、`log.retention_days` 等需要重装；修改 `.env` 只需 `daily-news restart`。
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### 卸载
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```bash
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./scripts/uninstall.sh
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```
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卸载会移除 systemd 单元、`/usr/local/bin/daily-news` 和日志保留 drop-in；**不会**删除 `news-data/` 数据。
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### 日志保留
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日志通过 systemd journald 命名空间 `dnews` 隔离，保留天数由 `config.json` 中的 `log.retention_days` 控制（默认 7 天）。不影响系统其他服务的日志。
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### 日志查询
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```bash
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daily-news logs # 实时跟随两个 service 的日志
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daily-news status [N] # 查看状态 + 最近 N 行日志（默认 15）
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journalctl --namespace=dnews -f # 实时跟随命名空间内全部日志
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journalctl --namespace=dnews -u dnews-fetch -f # 仅跟随 fetch service
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journalctl --namespace=dnews -u dnews-push -f # 仅跟随 push service
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journalctl --namespace=dnews --since "1 hour ago" # 查询近 1 小时日志
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journalctl --namespace=dnews --since today # 查询今日日志
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journalctl --namespace=dnews -p err # 仅查询 error 级别及以上
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journalctl --namespace=dnews --vacuum-time=1s # 手动清空命名空间日志
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```
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---
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## 配置详解（config.json）
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完整的配置文件结构如下，每个字段都有详细说明：
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```json
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{
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// 订阅源管理
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"sources": {
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"base_opml": "resources/rss.opml", // 基础OPML文件，包含400+预设源
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"add": [ // 自定义添加的RSS源
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{
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"title": "OpenAI News",
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"xmlUrl": "https://openai.com/news/rss.xml",
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"category": "AI"
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}
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],
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"block": [ // 手动屏蔽的源，精确匹配xmlUrl
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{
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"title": "Google Developers Blog",
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"xmlUrl": "https://developers.googleblog.com/feeds/posts/default"
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}
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],
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"block_domains": ["*.substack.com", "*.youtube.com"] // 域名屏蔽，支持通配符
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},
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// 内容过滤
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"filter": {
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"min_score": 60, // 最低评分阈值，低于此分不推送
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"hot_threshold": 90, // 热点阈值，达到立即即时推送
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"context_days": 3, // 汇总时参考的历史天数
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"keep_days": 7, // 数据保留天数
|
||||
"push_context_days": 5, // 汇总推送去重的上下文有效天数
|
||||
"no_content_marker": "[NO_NEW_CONTENT]" // LLM返回的无内容标记，用于判断是否跳过推送
|
||||
},
|
||||
|
||||
// 日志配置（仅对 systemd 部署生效）
|
||||
"log": {
|
||||
"retention_days": 7 // journald 命名空间 dnews 的日志保留天数
|
||||
},
|
||||
|
||||
// 调度配置
|
||||
"schedule": {
|
||||
"fetch_interval_minutes": 30, // RSS抓取间隔（分钟）
|
||||
"fetch_lookback_minutes": 120, // RSS冗余缓存时间（分钟），必须大于fetch_interval_minutes，用于防止RSS延迟导致漏读
|
||||
"push_cron": ["0 8 * * *", "0 17 * * *"], // 定时推送cron表达式
|
||||
"timezone_hours": 8 // 时区偏移（8=北京时间）
|
||||
},
|
||||
|
||||
// 抓取配置
|
||||
"fetch": {
|
||||
"max_workers": 10, // 最大并发数
|
||||
"timeout": 10 // 单请求超时（秒）
|
||||
},
|
||||
|
||||
// LLM配置
|
||||
"llm": {
|
||||
"provider": "openai", // 提供商类型，openai只是知名该api接口时openai接口兼容，代码中并无实际使用
|
||||
"model": "x-ai/grok-4.1-fast", // 模型名称
|
||||
"baseUrl": "https://openrouter.ai/api/v1", // API端点
|
||||
"apiKeyName": "OPENROUTER_API_KEY", // 环境变量名
|
||||
"max_prompt_chars": 128000, // 单次prompt最大字符数
|
||||
"max_concurrent_batches": 3, // 最大并发批次数
|
||||
"prompts": { // prompt文件路径
|
||||
"score": "prompts/score.txt",
|
||||
"score_batch": "prompts/score_batch.txt",
|
||||
"immediate_push": "prompts/immediate_push.txt",
|
||||
"digest": "prompts/digest.txt"
|
||||
}
|
||||
},
|
||||
|
||||
// 推送配置
|
||||
"push": {
|
||||
"discord": {
|
||||
"enabled": true, // 是否启用
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL" // Webhook环境变量名
|
||||
},
|
||||
"feishu": {
|
||||
"enabled": false,
|
||||
"apiKeyName": "FEISHU_WEBHOOK_URL"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### sources —— 订阅源管理
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `base_opml` | string | 基础 OPML 文件路径，包含 400+ 预设 RSS 源 |
|
||||
| `add` | array | 自定义添加的 RSS 源，结构为 `{title, xmlUrl, category}` |
|
||||
| `block` | array | 手动屏蔽的 RSS 源，精确匹配 `xmlUrl` |
|
||||
| `block_domains` | array | 域名级别屏蔽，支持通配符（如 `*.substack.com`） |
|
||||
|
||||
### filter —— 内容过滤
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `min_score` | number | 最低评分阈值，低于此分数的内容不参与推送（默认60） |
|
||||
| `hot_threshold` | number | 热点阈值，达到此分数立即触发即时推送（默认90） |
|
||||
| `context_days` | number | 上下文天数，汇总推送时参考的fetch数据历史天数（默认3天） |
|
||||
| `keep_days` | number | 数据保留天数，超过天数的 JSON 文件会被清理 |
|
||||
| `push_context_days` | number | 汇总推送去重的历史push文件有效天数（默认5天） |
|
||||
| `no_content_marker` | string | LLM 返回的无内容标记，当推送内容包含此字符串时跳过推送（默认"[NO_NEW_CONTENT]"） |
|
||||
|
||||
### log —— 日志配置
|
||||
|
||||
仅对 `scripts/install.sh` 部署的 systemd 服务生效。
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `retention_days` | number | journald 命名空间 `dnews` 的日志保留天数（默认 7 天）。修改后需要重跑 `./scripts/install.sh` |
|
||||
|
||||
### schedule —— 调度配置
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `fetch_interval_minutes` | number | RSS 抓取间隔，单位分钟（默认30分钟） |
|
||||
| `fetch_lookback_minutes` | number | RSS 冗余缓存时间（分钟），必须大于 `fetch_interval_minutes`，用于防止 RSS 延迟导致漏读（默认120分钟） |
|
||||
| `push_cron` | array | 定时推送的 cron 表达式数组，支持多个时间点。**当天最早那次推送**自动作为「早报」触发 GitHub / Hacker News / 跨板块洞察三段；其余时段为默认 RSS digest。若只配置一条 cron,则每次推送都视为早报 |
|
||||
| `timezone_hours` | number | 时区偏移小时数，用于时间显示（8 = UTC+8 北京时间） |
|
||||
|
||||
**cron 表达式说明：**
|
||||
|
||||
| 表达式 | 含义 |
|
||||
|--------|------|
|
||||
| `0 8 * * *` | 每天早上 8:00 |
|
||||
| `0 17 * * *` | 每天下午 5:00 |
|
||||
| `0 9,17 * * *` | 每天早上 9:00 和下午 5:00 |
|
||||
|
||||
格式：`minute hour day month weekday`
|
||||
|
||||
### fetch —— 抓取配置
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `max_workers` | number | 最大并发数，同时抓取的 RSS 源数量 |
|
||||
| `timeout` | number | 单个请求超时时间，单位秒 |
|
||||
|
||||
### llm —— 大语言模型配置
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `provider` | string | LLM 提供商（支持 openai 兼容接口） |
|
||||
| `model` | string | 模型名称，如 `x-ai/grok-4.1-fast` |
|
||||
| `baseUrl` | string | API 端点，如 `https://openrouter.ai/api/v1` |
|
||||
| `apiKeyName` | string | 环境变量名称，系统会自动读取其值 |
|
||||
| `max_prompt_chars` | number | 单次 prompt 最大字符数，用于分批控制 |
|
||||
| `max_concurrent_batches` | number | 最大并发批次数 |
|
||||
| `prompts` | object | prompt 文件路径配置 |
|
||||
|
||||
### push —— 推送平台配置
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `discord.enabled` | boolean | 是否启用 Discord 推送 |
|
||||
| `discord.apiKeyName` | string | Discord Webhook 的环境变量名 |
|
||||
| `feishu.enabled` | boolean | 是否启用飞书推送 |
|
||||
| `feishu.apiKeyName` | string | 飞书 Webhook 的环境变量名 |
|
||||
|
||||
### sections (早报扩展板块)
|
||||
|
||||
仅在当天最早一次 `push_cron` 触发时生效(即「早报」时段)。详细设计见 `docs/extra-sections-design.md`。
|
||||
|
||||
#### sections.github_trending
|
||||
- `enabled`: 是否启用
|
||||
- `max_items`: LLM 最终选出的项目数上限(默认 3)
|
||||
- `max_deep_dive`: 单次最多 deep-dive 的候选 repo 数(默认 10)
|
||||
- `readme_max_chars`: README 截断长度(默认 10000)
|
||||
- `history_file`: trending 去重索引文件路径
|
||||
- `request_timeout`: HTTP 超时秒
|
||||
- `tokenName`: GitHub token 环境变量名;不设时匿名调用(限 60 req/hr)
|
||||
|
||||
#### sections.hackernews
|
||||
- `enabled`: 是否启用
|
||||
- `select_k`: 轻 LLM 从首页 30 条中挑出的故事数(默认 1)
|
||||
- `top_comments`: 每个故事抓取的**顶层(L1)评论**数上限(默认 30)
|
||||
- `top_l2_per_l1`: 每条 L1 下挂的 L2 回复数上限(默认 3)
|
||||
- `comment_max_chars`: 单条评论(L1 或 L2) markdown 字符上限(默认 2000)
|
||||
- `comments_total_chars`: 整段评论树的总字符预算硬上限(默认 60000),防止离群 story 撑爆 prompt
|
||||
- `link_content_max_chars`: 外链正文截断长度(默认 50000)
|
||||
- `request_timeout`: HTTP 超时秒
|
||||
- `algolia_base`: Algolia API 基址
|
||||
- `jinaTokenName`: Jina Reader API key 环境变量名(默认 `JINA_API_KEY`);不设或对应环境变量为空时按匿名额度调用
|
||||
|
||||
#### sections.insights
|
||||
- `enabled`: 是否启用跨板块洞察段
|
||||
|
||||
|
||||
## 扩展指南
|
||||
|
||||
### 添加新的 RSS 源
|
||||
|
||||
在 `config.json` 的 `sources.add` 中添加：
|
||||
|
||||
```json
|
||||
"add": [
|
||||
{
|
||||
"title": "我的自定义源",
|
||||
"xmlUrl": "https://example.com/feed.xml",
|
||||
"category": "AI"
|
||||
}
|
||||
]
|
||||
```
|
||||
|
||||
### 添加新的推送平台
|
||||
|
||||
1. 在 `src/push/` 目录下创建新文件，继承 `PushPlatform` 基类
|
||||
2. 实现 `validate_config()` 和 `send()` 方法
|
||||
3. 在 `src/push/__init__.py` 中注册
|
||||
|
||||
### 修改评分逻辑
|
||||
|
||||
编辑 `prompts/score.txt`，调整评分标准和权重。
|
||||
|
||||
### 自定义 LLM 模型
|
||||
|
||||
修改 `config.json` 中的 `llm` 配置：
|
||||
|
||||
```json
|
||||
"llm": {
|
||||
"model": "anthropic/claude-3-opus",
|
||||
"baseUrl": "https://openrouter.ai/api/v1",
|
||||
"apiKeyName": "OPENROUTER_API_KEY"
|
||||
}
|
||||
```
|
||||
|
||||
## RSS 源说明
|
||||
|
||||
|
||||
RSS 订阅源文件位于 `resources/rss.opml`，目前包含约 420 个订阅源。
|
||||
|
||||
RSS 订阅源初始整理自 [ginobefun/BestBlogs](https://github.com/ginobefun/BestBlogs)，包含约 420 个 AI 领域优质信息源。
|
||||
|
||||
用户可自行配置 RSS 源文件，只需遵循 OPML 格，在 `config.json` 的 `sources.base_opml` 修改文件路径即可。 同时用户可修改 `sources.add`或者 `sources.block`以在不破换OMPL文件的前提下对rss源进行增加或者删除。格式示例：
|
||||
|
||||
```json
|
||||
"sources": {
|
||||
"base_opml": "resources/rss.opml",
|
||||
"add": [
|
||||
{
|
||||
"title": "OpenAI News",
|
||||
"xmlUrl": "https://openai.com/news/rss.xml",
|
||||
"category": "AI"
|
||||
},
|
||||
{
|
||||
"title": "Chrome for Developers",
|
||||
"xmlUrl": "https://developer.chrome.com/static/blog/feed.xml",
|
||||
"category": "Chrome"
|
||||
}
|
||||
],
|
||||
"block": [
|
||||
{
|
||||
"title": "Google Developers Blog",
|
||||
"xmlUrl": "https://developers.googleblog.com/feeds/posts/default"
|
||||
},
|
||||
{
|
||||
"title": "Microsoft for Developers",
|
||||
"xmlUrl": "https://devblogs.microsoft.com/landing"
|
||||
},
|
||||
{
|
||||
"title": "ElevenLabs Blog",
|
||||
"xmlUrl": "https://api.bestblogs.dev/feed/elevenLabsBlog"
|
||||
}
|
||||
],
|
||||
"block_domains": ["*.substack.com", "*.youtube.com"]
|
||||
}
|
||||
```
|
||||
|
||||
## 常见问题 FAQ
|
||||
|
||||
<details>
|
||||
<summary><b>LLM 调用费用大概多少？</b></summary>
|
||||
|
||||
取决于模型选择和源数量。以 OpenRouter 的 `x-ai/grok-4.1-fast`（便宜模型）为例，日均扫描 2000+ 条 RSS + GitHub + HN，**单日成本约 ¥0.5-2 元**。可通过 `filter.min_score`、`llm.max_concurrent_batches`、`llm.max_prompt_chars` 进一步控制。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>如何只跑某一板块进行调试？</b></summary>
|
||||
|
||||
```bash
|
||||
uv run python -m src.main github # 只跑 GitHub Trending
|
||||
uv run python -m src.main hackernews # 只跑 Hacker News
|
||||
uv run python -m src.main fetch # 只跑 RSS fetch
|
||||
```
|
||||
|
||||
打印结果到控制台，不触发实际推送。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>抓取频率会不会被 RSS 站点封禁？</b></summary>
|
||||
|
||||
默认 30 分钟轮询一次，远低于大多数 RSS 服务的速率限制。`fetch.max_workers` 控制并发（默认 10），对单个站点的压力可忽略。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>没配置推送渠道也能用吗？</b></summary>
|
||||
|
||||
可以。所有推送 markdown 都会落地到 `news-data/push-*.md`，即使所有推送平台 disabled 也可手动查看。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>支持哪些 LLM 提供商？</b></summary>
|
||||
|
||||
任何 OpenAI API 兼容接口的服务：OpenAI、DeepSeek、OpenRouter、SiliconFlow、阿里云通义千问、Groq 等。修改 `config.json` 的 `llm.baseUrl` / `llm.model` / `llm.apiKeyName` 即可切换。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>GitHub Trending / Hacker News 为什么不出现？</b></summary>
|
||||
|
||||
它们**只在当天最早一次 `push_cron` 触发时跑**（即「早报」时段）。若 `push_cron` 只配了一条 cron，则每次推送都视为早报。详见「配置详解 → schedule」一节。
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>数据存储在哪里？多久清理？</b></summary>
|
||||
|
||||
- 抓取数据：`news-data/fetch-YYYY-MM-DD.json`
|
||||
- 推送 markdown：`news-data/push-YYYY-MM-DD-HH-MM-SS.md`
|
||||
- 通知归档：`news-data/notify-YYYY-MM-DD.md`
|
||||
|
||||
超过 `filter.keep_days`（默认 7 天）的文件会自动清理；卸载脚本**不会**删除 `news-data/`。
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## License
|
||||
|
||||
MIT License - see [LICENSE](LICENSE) file for details.
|
||||
@@ -0,0 +1,120 @@
|
||||
{
|
||||
"filter": {
|
||||
"min_score": 60,
|
||||
"hot_threshold": 90,
|
||||
"context_days": 2,
|
||||
"keep_days": 7,
|
||||
"push_context_days": 5,
|
||||
"no_content_marker": "[NO_NEW_CONTENT]"
|
||||
},
|
||||
"log": {
|
||||
"retention_days": 7
|
||||
},
|
||||
"schedule": {
|
||||
"fetch_interval_minutes": 60,
|
||||
"fetch_lookback_minutes": 120,
|
||||
"push_cron": ["0 8 * * *", "0 17 * * *"],
|
||||
"timezone_hours": 8
|
||||
},
|
||||
"sections": {
|
||||
"github_trending": {
|
||||
"enabled": true,
|
||||
"max_items": 3,
|
||||
"max_deep_dive": 10,
|
||||
"readme_max_chars": 10000,
|
||||
"history_file": "news-data/trending-history.json",
|
||||
"request_timeout": 10,
|
||||
"tokenName": "GITHUB_TOKEN"
|
||||
},
|
||||
"hackernews": {
|
||||
"enabled": true,
|
||||
"select_k": 3,
|
||||
"top_comments": 50,
|
||||
"top_l2_per_l1": 3,
|
||||
"comment_max_chars": 2000,
|
||||
"comments_total_chars": 80000,
|
||||
"link_content_max_chars": 50000,
|
||||
"request_timeout": 10,
|
||||
"algolia_base": "https://hn.algolia.com/api/v1",
|
||||
"jinaTokenName": "JINA_API_KEY"
|
||||
},
|
||||
"insights": {
|
||||
"enabled": true
|
||||
}
|
||||
},
|
||||
"fetch": {
|
||||
"max_workers": 10,
|
||||
"timeout": 10
|
||||
},
|
||||
"llm": {
|
||||
"provider": "openai",
|
||||
"model": "deepseek-v4-flash",
|
||||
"baseUrl": "https://api.deepseek.com",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"max_prompt_chars": 150000,
|
||||
"max_concurrent_batches": 3,
|
||||
"prompts": {
|
||||
"score_batch": "prompts/score_batch.md",
|
||||
"immediate_push": "prompts/immediate_push.md",
|
||||
"digest": "prompts/digest.md",
|
||||
"section_github": "prompts/section_github.md",
|
||||
"section_hackernews_select": "prompts/section_hackernews_select.md",
|
||||
"section_hackernews": "prompts/section_hackernews.md",
|
||||
"insights": "prompts/insights.md"
|
||||
}
|
||||
},
|
||||
"push": {
|
||||
"discord": {
|
||||
"enabled": false,
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL"
|
||||
},
|
||||
"feishu": {
|
||||
"enabled": true,
|
||||
"apiKeyName": "FEISHU_WEBHOOK_URL"
|
||||
}
|
||||
},
|
||||
"sources": {
|
||||
"base_opml": "resources/rss.opml",
|
||||
"add": [
|
||||
{
|
||||
"title": "OpenAI News",
|
||||
"xmlUrl": "https://openai.com/news/rss.xml",
|
||||
"category": "AI"
|
||||
},
|
||||
{
|
||||
"title": "Chrome for Developers",
|
||||
"xmlUrl": "https://developer.chrome.com/static/blog/feed.xml",
|
||||
"category": "Chrome"
|
||||
},
|
||||
{
|
||||
"title": "Cloudflare Developers",
|
||||
"xmlUrl": "https://developers.cloudflare.com/changelog/rss/index.xml",
|
||||
"category": "Cloudflare"
|
||||
},
|
||||
{
|
||||
"title": "Infoq",
|
||||
"xmlUrl": "https://feed.infoq.com/",
|
||||
"category": "News"
|
||||
}
|
||||
],
|
||||
"block": [
|
||||
{
|
||||
"title": "Google Developers Blog",
|
||||
"xmlUrl": "https://developers.googleblog.com/feeds/posts/default"
|
||||
},
|
||||
{
|
||||
"title": "Microsoft for Developers",
|
||||
"xmlUrl": "https://devblogs.microsoft.com/landing"
|
||||
},
|
||||
{
|
||||
"title": "ElevenLabs Blog",
|
||||
"xmlUrl": "https://api.bestblogs.dev/feed/elevenLabsBlog"
|
||||
},
|
||||
{
|
||||
"title": "Infoq(en)",
|
||||
"xmlUrl": "http://www.infoq.com/rss/rss.action"
|
||||
}
|
||||
],
|
||||
"block_domains": ["*.substack.com", "*.youtube.com"]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,735 @@
|
||||
# extra-sections-design.md — GitHub Trending / Hacker News / 行业洞察 板块设计
|
||||
|
||||
> 本文是对现有 push job 的能力扩展设计。在保持 RSS 主流程不变的前提下，新增三个板块仅在「早报」时段输出：GitHub 趋势、Hacker News 热议、跨板块行业洞察。
|
||||
>
|
||||
> 配套修改的源码模块、配置字段、数据契约见各章节。落地后需要把架构层结论合并回 `docs/tech-spec.md`，运行参数变更同步 `README.md`，进度记录写入 `docs/plan.md`。
|
||||
>
|
||||
> created: 2026-05-16
|
||||
> updated: 2026-05-16（按用户决策重写：四模块独立、单页 GH trending、HN 单选 K=1、insights 结构由 prompt 决定）
|
||||
|
||||
## 1. 目标与范围
|
||||
|
||||
- 在每天的早报推送中，除了现有的 RSS 精选 digest，再加入：
|
||||
- **GitHub Trending**：当日热门开源项目中筛选 1-3 个 AI 相关项目
|
||||
- **Hacker News**：HN 首页中筛选 1 个最有讨论价值的 AI 相关热议（带评论与外链正文摘要）
|
||||
- **行业洞察**：基于上述三个板块 + 历史 insights 段做一段跨板块趋势小结
|
||||
- 这三段内容**只在早报时段生成**（当天 `schedule.push_cron` 列表里最早那次触发），其余时段维持现有纯 RSS digest 行为
|
||||
- 单板块失败 → 降级推送其他板块，整体任务仍算成功；RSS 失败 → 同现有行为，任务非 0 退出
|
||||
- 不引入数据库；状态全部落到 `news-data/` 的本地文件
|
||||
|
||||
## 2. 架构总览
|
||||
|
||||
```
|
||||
push_job (cron 触发)
|
||||
│
|
||||
├─ Step 1: 早报判定
|
||||
│ └─ 否 → 走原有纯 RSS digest 流程，结束
|
||||
│
|
||||
├─ Step 2: 四模块编排（前三路 asyncio.gather 并发，insights 串行后置）
|
||||
│ ├─ run_rss_section(config, now)
|
||||
│ ├─ run_github_section(config, now)
|
||||
│ └─ run_hackernews_section(config, now)
|
||||
│ ↓
|
||||
│ └─ run_insights_section(rss_md, gh_md, hn_md, config, now)
|
||||
│
|
||||
└─ Step 3: push_job 上游
|
||||
└─ sentinel 包裹四段 → 拼装 markdown → 推送 → 写 push-*.md
|
||||
```
|
||||
|
||||
**关键设计选择**：
|
||||
|
||||
1. **模块自治**。每个板块封装为 `run_xxx_section(...) -> (markdown, error)`，板块内部从抓取、enrich、LLM 总结全包；板块互不感知。
|
||||
2. **sentinel 由 push_job 统一包**。模块返回**裸 markdown**（不含 sentinel），由上游 `_assemble_with_sentinels()` 包入 `<!-- SECTION:xxx BEGIN/END -->`。这样模块不需要知道自己的板块标识，便于后续替换或加新板块。
|
||||
3. **失败自吞**。模块内部捕获异常，返回 `("", error)`；上游根据返回值决定是否在最终 push 中省略该段、是否走告警通道。
|
||||
4. **RSS 是核心**。其他三个模块失败都是降级；RSS 模块失败仍按现有行为整体退出非 0。
|
||||
|
||||
**并发模型**：`asyncio.gather`，与项目通体异步风格一致。
|
||||
|
||||
## 3. 模块结构
|
||||
|
||||
```
|
||||
src/
|
||||
├── sections/ ← 新增
|
||||
│ ├── __init__.py # 暴露 run_rss_section / run_github_section / ...
|
||||
│ ├── rss/
|
||||
│ │ ├── __init__.py
|
||||
│ │ └── section.py # 把现有 collect_entries_for_push + compose_digest 流程搬入
|
||||
│ ├── github/
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── trending_scraper.py # HTML 抓取 + 解析(单页 https://github.com/trending)
|
||||
│ │ ├── repo_enricher.py # GitHub REST API:metadata + README
|
||||
│ │ ├── history.py # trending-history.json 读写 + 过期清理
|
||||
│ │ └── section.py # run_github_section 入口
|
||||
│ ├── hackernews/
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── frontpage_scraper.py # HTML 抓首页 30 条
|
||||
│ │ ├── item_enricher.py # Algolia /items/{id} + 外链正文(html_to_markdown)
|
||||
│ │ └── section.py # run_hackernews_section 入口
|
||||
│ └── insights/
|
||||
│ ├── __init__.py
|
||||
│ └── section.py # run_insights_section 入口
|
||||
├── llm.py # 新增 4 个函数(GH/HN select/HN summarize/insights)
|
||||
├── storage.py # 新增:sentinel 切片、trending-history、profile 字段
|
||||
├── main.py # push_job 升级:早报判定 + 四模块编排
|
||||
└── push/ # 不变,平台层无感知
|
||||
|
||||
prompts/ ← 新增 4 个
|
||||
├── section_github.md # 输入 enriched repo 数组 → 选 1-3 + 写 markdown
|
||||
├── section_hackernews_select.md # 30 条 frontpage 元数据 → 选 K 个 id(默认 K=1)
|
||||
├── section_hackernews.md # enriched story → 写 markdown(K=1 时不挑选,只行文)
|
||||
└── insights.md # 输入三段成品 + 近 N 天 insights 段历史 → 写洞察段
|
||||
|
||||
news-data/
|
||||
├── fetch-*.json # 不变
|
||||
├── notify-*.md # 不变
|
||||
├── push-*.md # 内容升级:含 sentinel 与 profile frontmatter
|
||||
└── trending-history.json # 新增:GH 已查阅 repo 索引
|
||||
```
|
||||
|
||||
## 4. 数据契约
|
||||
|
||||
### 4.1 push 文件分段 sentinel
|
||||
|
||||
push 文件保留**完整拼接**写入磁盘和发送各平台，但用 HTML 注释 sentinel 划分板块边界。HTML 注释在 markdown 渲染中不显示，机器可解析，下游做"按段查重"时能精确切片。
|
||||
|
||||
```markdown
|
||||
---
|
||||
pushDate: "2026-05-16T08:00:03+08:00"
|
||||
profile: "morning"
|
||||
sourceCount: 12
|
||||
totalEntries: 12
|
||||
---
|
||||
|
||||
<!-- SECTION:rss BEGIN -->
|
||||
# 📰 AI Daily 每日精选 | 2026-05-16
|
||||
|
||||
*开头一句定调...*
|
||||
|
||||
### 1️⃣ ...
|
||||
<!-- SECTION:rss END -->
|
||||
|
||||
<!-- SECTION:github BEGIN -->
|
||||
## ⭐ GitHub 趋势
|
||||
|
||||
- **owner/repo** ⭐234 — 一句话价值定位
|
||||
<!-- SECTION:github END -->
|
||||
|
||||
<!-- SECTION:hackernews BEGIN -->
|
||||
## 🟧 Hacker News 热议
|
||||
|
||||
### 标题 (120 pts · 45 comments)
|
||||
- 链接: url
|
||||
- 要点:...
|
||||
- HN 讨论: comments_url
|
||||
<!-- SECTION:hackernews END -->
|
||||
|
||||
<!-- SECTION:insights BEGIN -->
|
||||
## 💡 今日洞察
|
||||
|
||||
(行文结构由 prompts/insights.md 决定,代码不强加格式)
|
||||
<!-- SECTION:insights END -->
|
||||
```
|
||||
|
||||
某板块 markdown 为空 → 对应 sentinel 段**整段省略**（不留空标记，不留空 SECTION）。
|
||||
|
||||
### 4.2 分段提取函数（storage.py 新增）
|
||||
|
||||
```python
|
||||
def extract_section(push_md: str, section: str) -> str:
|
||||
"""从 push 文件内容中切出 <!-- SECTION:{section} BEGIN/END --> 之间的 markdown。
|
||||
|
||||
向后兼容:
|
||||
- 新 push 文件(带 sentinel): 按 sentinel 边界切片
|
||||
- 老 push 文件(无 sentinel) 且 section=='rss': 返回整个 body(老文件视为全 RSS)
|
||||
- 老 push 文件且 section in {github, hackernews, insights}: 返回空字符串
|
||||
"""
|
||||
|
||||
def load_recent_section_titles(section: str, days: int, data_dir="news-data") -> str:
|
||||
"""汇总近 days 天 push-*.md 的指定板块,提取标题级别清单(沿用 _extract_push_titles 思路)。
|
||||
|
||||
仅 insights 板块在新增模块中使用本函数加载历史。
|
||||
GH/HN 板块按用户决策不传历史上下文给 LLM,不调用本函数。
|
||||
"""
|
||||
```
|
||||
|
||||
四个 LLM 与历史上下文的关系：
|
||||
|
||||
| LLM 调用 | recent context 数据源 |
|
||||
|---|---|
|
||||
| `compose_digest` (RSS) | 维持现有 `load_recent_push_titles(filter.push_context_days)`（老接口在 sentinel 升级后等价于 `load_recent_section_titles("rss", ...)`） |
|
||||
| `summarize_github_trending` | 不传 |
|
||||
| `select_ai_related_hn` | 不传 |
|
||||
| `summarize_hackernews` | 不传 |
|
||||
| `generate_trend_insights` | `load_recent_section_titles("insights", filter.push_context_days)` |
|
||||
|
||||
### 4.3 trending-history.json
|
||||
|
||||
```json
|
||||
{
|
||||
"repos": {
|
||||
"https://github.com/owner/repo-a": "2026-05-15",
|
||||
"https://github.com/owner/repo-b": "2026-05-12"
|
||||
},
|
||||
"updated_at": "2026-05-16T08:00:01+08:00"
|
||||
}
|
||||
```
|
||||
|
||||
**写入语义**（用户决策的精确语义）：
|
||||
|
||||
每次早报触发，按下列顺序处理：
|
||||
|
||||
1. 加载 history，剔除 `last_seen_date < today - filter.keep_days` 的条目
|
||||
2. 抓 trending 页 → 得到 `all_repos`
|
||||
3. 对 `all_repos` 中每个 url：
|
||||
- 若已在 history → `history.touch(url, today)`（更新日期），**从候选移除**
|
||||
- 不在 history → 进入 `candidates`
|
||||
4. 把 `candidates` 中每个 url 也 `history.touch(url, today)` 写入 history
|
||||
5. 持久化 history（覆盖写）
|
||||
6. 对 `candidates`（即今日新出现的 repo）做后续 deep-dive 与 LLM 总结
|
||||
|
||||
效果：repo 在 trending 上挂多久就被屏蔽多久；过 `keep_days` 天没再出现则可重新推荐。
|
||||
|
||||
## 5. 模块详设
|
||||
|
||||
### 5.1 RSS 模块（迁移既有逻辑）
|
||||
|
||||
`src/sections/rss/section.py::run_rss_section(config, now) -> (str, Optional[str])`：
|
||||
|
||||
把现有 `run_push_job` 中"收集 + compose_digest"的部分原样迁过来，返回裸 markdown（不含 sentinel）+ 错误信息。无新增功能。
|
||||
|
||||
### 5.2 GitHub 模块
|
||||
|
||||
`src/sections/github/section.py::run_github_section(config, now) -> (str, Optional[str])`：
|
||||
|
||||
```
|
||||
1. 抓取 trending 单页(HTML)
|
||||
GET https://github.com/trending
|
||||
解析 → all_repos: [{url, full_name, description, language, stars_today, stars_total}]
|
||||
|
||||
2. 加载 history 并清理
|
||||
history = load_trending_history(sections.github_trending.history_file)
|
||||
history.cleanup(keep_days=filter.keep_days)
|
||||
|
||||
3. 候选筛选(按 §4.3 语义)
|
||||
candidates = []
|
||||
for repo in all_repos:
|
||||
if repo.url in history:
|
||||
history.touch(repo.url, today)
|
||||
else:
|
||||
candidates.append(repo)
|
||||
|
||||
4. 候选写回 history + 持久化
|
||||
for repo in candidates:
|
||||
history.touch(repo.url, today)
|
||||
history.save()
|
||||
|
||||
5. 数量护栏
|
||||
if not candidates: return ("", None) # 静默
|
||||
if len(candidates) > max_deep_dive:
|
||||
candidates = candidates[:max_deep_dive] # 截断,默认 10
|
||||
|
||||
6. 并发 deep-dive(REST API)
|
||||
async for repo in candidates:
|
||||
meta = await fetch_repo_metadata(owner, repo) # GET /repos/{o}/{r}
|
||||
readme = await fetch_readme(owner, repo) # GET /repos/{o}/{r}/readme
|
||||
enriched = [{...repo, topics, license, pushed_at, readme_excerpt}]
|
||||
- 单 repo 任一请求失败 → 该 repo 跳过 + 错误聚合,不阻塞其他
|
||||
|
||||
7. LLM:summarize_github_trending(enriched, config)
|
||||
prompt: 候选数组(含 readme_excerpt) → 选 1-max_items + 写 markdown
|
||||
不传 recent_section_titles
|
||||
|
||||
8. 返回 (markdown, error)
|
||||
```
|
||||
|
||||
**REST API 调用细节**：
|
||||
|
||||
| 调用 | 路径 | 取什么 |
|
||||
|---|---|---|
|
||||
| metadata | `GET /repos/{owner}/{repo}` | `description, topics, language, license.spdx_id, pushed_at, stargazers_count, archived` |
|
||||
| readme | `GET /repos/{owner}/{repo}/readme` | `content` (base64) → decode → 截断到 `readme_max_chars` |
|
||||
|
||||
- `archived=true` 的 repo 从候选剔除（trending 偶尔出现僵尸归档项目）
|
||||
- README 截断策略：前 `readme_max_chars` 字符（默认 10000，基于 trending 页 README 长度分布 p50≈25k 选定，详见 §14 决策记录）
|
||||
- 鉴权：`config.sections.github_trending.tokenName`（默认 `"GITHUB_TOKEN"`）对应的环境变量存在时走 `Authorization: Bearer {token}`，否则匿名调用并接受 60 req/hr 上限（日 10 个 repo × 2 calls = 20 calls，匿名安全）
|
||||
|
||||
**enriched repo 字段（喂给最终 LLM）**：
|
||||
|
||||
```json
|
||||
{
|
||||
"url": "https://github.com/owner/repo",
|
||||
"full_name": "owner/repo",
|
||||
"description": "(来自 trending 页)",
|
||||
"language": "Python",
|
||||
"stars_today": 234,
|
||||
"stars_total": 12340,
|
||||
"topics": ["llm", "rag", "agent"],
|
||||
"license": "MIT",
|
||||
"pushed_at": "2026-05-15",
|
||||
"readme_excerpt": "(前 3000 chars)"
|
||||
}
|
||||
```
|
||||
|
||||
### 5.3 Hacker News 模块
|
||||
|
||||
`src/sections/hackernews/section.py::run_hackernews_section(config, now) -> (str, Optional[str])`：
|
||||
|
||||
```
|
||||
1. 抓首页(HTML)
|
||||
GET https://news.ycombinator.com/news
|
||||
解析 30 条 → front: [{id, title, url, site, points, comments, comments_url}]
|
||||
|
||||
2. 轻 LLM 初筛:select_ai_related_hn
|
||||
输入: 30 条 frontpage 元数据(无正文)
|
||||
输出: K = sections.hackernews.select_k 个 story id(默认 K=1)
|
||||
if K 个为空 → return ("", None) # 静默
|
||||
|
||||
3. 并发 enrich 选中的 K 个 story
|
||||
async for story in selected:
|
||||
- 评论树:Algolia GET /api/v1/items/{id}
|
||||
→ 取前 top_comments 条 L1(默认 30,按 HN ranking)
|
||||
→ 每条 L1 下挂前 top_l2_per_l1 条 L2 回复(默认 3)
|
||||
→ 每条 text 过 html_to_markdown,单条截断到 comment_max_chars(默认 2000)
|
||||
→ 累计达 comments_total_chars(默认 60000) 立即停止,防离群 story 撑爆 prompt
|
||||
→ 输出 tree JSON: [{"l1": "...", "replies": ["...", "..."]}, ...]
|
||||
- 外链正文:
|
||||
if story.url 指向 https://news.ycombinator.com/item?id=... (Show HN/Ask HN):
|
||||
从 Algolia 同次返回的 root.text 字段取(无外部请求)
|
||||
else:
|
||||
GET story.url → html_to_markdown → 截断到 link_content_max_chars(默认 50000,p50≈10k)
|
||||
- 单 story 任一失败 → 字段留空,metadata 仍传给最终 LLM
|
||||
|
||||
4. LLM:summarize_hackernews(enriched_stories, config)
|
||||
prompt: 对输入的 K 个 story 全部行文（K 通常 = 1）
|
||||
不传 recent_section_titles
|
||||
|
||||
5. 返回 (markdown, error)
|
||||
```
|
||||
|
||||
**Algolia API 接口**：
|
||||
|
||||
```
|
||||
GET https://hn.algolia.com/api/v1/items/{id}
|
||||
```
|
||||
|
||||
返回 JSON：
|
||||
|
||||
```json
|
||||
{
|
||||
"id": 12345678,
|
||||
"title": "...",
|
||||
"url": "...",
|
||||
"points": 120,
|
||||
"author": "...",
|
||||
"text": null, // Show HN/Ask HN 的正文在这里
|
||||
"children": [ // 顶层评论数组(按 HN ranking 排序)
|
||||
{"id": ..., "text": "<HTML>", "author": "...", "children": [...]},
|
||||
...
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**优势 vs HTML 解析**：免去 HN 的 `td.ind[indent="0"]` indent-tree 解析；评论文本是干净 HTML 字符串，直接 `html_to_markdown`。
|
||||
|
||||
**Show HN / Ask HN 特例**：
|
||||
- 首页解析时 `url` 字段就是 `https://news.ycombinator.com/item?id=X`，作为"非外链"标记
|
||||
- enrich 时只调一次 Algolia（覆盖评论 + post 正文 `text` 字段），不再发外部请求
|
||||
|
||||
**enriched story 字段（喂给最终 LLM）**：
|
||||
|
||||
```json
|
||||
{
|
||||
"id": "12345678",
|
||||
"title": "...",
|
||||
"url": "...",
|
||||
"site": "example.com",
|
||||
"points": 120,
|
||||
"comments": 45,
|
||||
"comments_url": "https://news.ycombinator.com/item?id=12345678",
|
||||
"link_content": "(markdown, ≤3000 chars; Show HN 时是 post 正文)",
|
||||
"top_comments": [
|
||||
{"l1": "(markdown, ≤comment_max_chars)", "replies": ["(markdown, ≤comment_max_chars)", "..."]},
|
||||
...
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
### 5.4 Insights 模块
|
||||
|
||||
`src/sections/insights/section.py::run_insights_section(rss_md, gh_md, hn_md, config, now) -> (str, Optional[str])`：
|
||||
|
||||
```
|
||||
1. 加载历史
|
||||
recent = load_recent_section_titles("insights", filter.push_context_days)
|
||||
|
||||
2. LLM:generate_trend_insights
|
||||
输入: {"rss": rss_md, "github": gh_md, "hackernews": hn_md} + recent
|
||||
输出: insights 段 markdown
|
||||
注:行文结构、bullet 数量、风格约束等全部交给 prompts/insights.md,
|
||||
代码层不强加固定格式
|
||||
|
||||
3. 返回 (markdown, error)
|
||||
```
|
||||
|
||||
如果某板块返回空（失败或本日无内容），prompt 里对应键标记 `"(本次无内容)"`，LLM 自行适配。
|
||||
|
||||
## 6. LLM 调用与 Prompt 策略
|
||||
|
||||
### 6.1 新增 LLM 函数（src/llm.py）
|
||||
|
||||
```python
|
||||
async def select_ai_related_hn(
|
||||
candidates: list[dict], # 首页 30 条元数据(无正文)
|
||||
k: int, # 期望返回数量,默认 1
|
||||
config: dict,
|
||||
) -> tuple[list[str], Optional[str]]:
|
||||
"""轻量 LLM:从 HN 首页候选中挑出 k 个 AI 相关的 story id,只读 title/site/points/comments。
|
||||
返回 ([id1, ...], error)。"""
|
||||
|
||||
async def summarize_github_trending(
|
||||
enriched_repos: list[dict], # 已 deep-dive 的 repo 候选(含 readme_excerpt + topics)
|
||||
config: dict,
|
||||
) -> tuple[str, Optional[str]]:
|
||||
"""选 1-max_items + 写 markdown 段。不传历史上下文。"""
|
||||
|
||||
async def summarize_hackernews(
|
||||
enriched_stories: list[dict], # 已 enrich(含 link_content 与 top_comments)
|
||||
config: dict,
|
||||
) -> tuple[str, Optional[str]]:
|
||||
"""对输入的 K 个 enriched stories 全部行文。K 由配置 select_k 决定，默认 1。
|
||||
不传历史上下文。"""
|
||||
|
||||
async def generate_trend_insights(
|
||||
sections: dict[str, str], # {"rss": md, "github": md, "hackernews": md}
|
||||
recent_insights: str, # load_recent_section_titles("insights", days)
|
||||
config: dict,
|
||||
) -> tuple[str, Optional[str]]:
|
||||
"""输入三段成品 + 近期 insights 标题,返回洞察段 markdown。"""
|
||||
```
|
||||
|
||||
返回风格沿用 `generate_immediate_push`：成功返回 `(content, None)`，失败返回 `("", error_msg)`。
|
||||
|
||||
**单次早报推送的 LLM 调用预算**：
|
||||
|
||||
| 调用 | 输入规模 | 用途 |
|
||||
|---|---|---|
|
||||
| `compose_digest` | 当日符合条件的 RSS 条目 | 现有，RSS digest 主体 |
|
||||
| `select_ai_related_hn` | 30 条 HN 首页元数据 | 轻量；只读 title/site/points/comments |
|
||||
| `summarize_github_trending` | ≤ `max_deep_dive`=10 个 enriched repos | 选 1-3 + 行文 |
|
||||
| `summarize_hackernews` | `K = select_k` 个 enriched stories（默认 1） | 行文 K 条 |
|
||||
| `generate_trend_insights` | 三段已生成 markdown + 近期 insights 标题 | 一段洞察 |
|
||||
|
||||
合计 5 次 / 早报。晚报维持现有 1 次。
|
||||
|
||||
### 6.2 关注领域（GitHub / HN 共用）
|
||||
|
||||
为避免领域定义在 3 个 prompt 里漂移，统一在此沉淀；各 prompt 在自身骨架里直接引用本节，不做重新发明。
|
||||
|
||||
**正面关注**：
|
||||
|
||||
- **AI Agent**：智能体架构、工具链、多智能体、自主规划、Agent 框架
|
||||
- **AI 模型**：训练、推理、微调、量化部署、模型服务、语音 / 多模态 / 视觉模型
|
||||
- **AI 基础设施**：GPU 调度、芯片硬件、数据中心、推理优化、分布式训练、向量数据库、RAG 框架
|
||||
- **大厂 / 前沿动态**：Apple、Google、Meta、OpenAI、Anthropic、Microsoft、xAI 等公司的官方动作与战略
|
||||
- **AI 集成的开发者工具**：API 网关、自动化脚本、低代码平台等明确与 AI 协同的工具
|
||||
- **有创新性的开源产品**：日增长显著且有清晰用户价值（GH 板块专属）
|
||||
|
||||
**负面排除（一律剔除）**：
|
||||
|
||||
- 嵌入式开发（Arduino、ESP32、树莓派、单片机）
|
||||
- 底层系统编程（内存分配器、编译器、链接器，与 AI 工作负载无明显关联时）
|
||||
- 通用开发工具（命名规范、代码风格、纯前端模板、UI 组件库、管理后台模板、静态网站主题）
|
||||
- 学习资源（纯教程仓库、面试题合集、Roadmap，除非是含实用代码的深度技术指南）
|
||||
- 配置文件集合（Dotfiles、配置模板）
|
||||
- 与 AI / 科技无关的内容（电子书、资源搬运、刷榜项目、明星项目搬运）
|
||||
- 纯娱乐 / 高风险误用（deepfake 等无明确基础设施价值的项目）
|
||||
|
||||
### 6.3 Prompt 文件
|
||||
|
||||
#### prompts/section_github.md（骨架）
|
||||
|
||||
- 角色定位（"开源情报分析师"）
|
||||
- 输入 schema 说明（JSON 数组：url / full_name / description / language / stars_today / stars_total / topics / license / pushed_at / readme_excerpt）
|
||||
- 关注领域：引用 §6.2（正面列表与负面排除完整复制进 prompt）
|
||||
- 选项规则：
|
||||
- 从候选中挑 1-`max_items` 个最值得关注的项目
|
||||
- 优先信号：stars_today 高 + topics 含 AI 标签（agent/llm/rag/inference/training 等）+ readme 描述明确 + 非纯模板/教程仓库
|
||||
- 必跳过：`archived=true`（理论上已在 enricher 剔除，prompt 层兜底）、纯 awesome-list、个人配置 dotfiles
|
||||
- 输出格式（markdown 列表）：
|
||||
- `- **owner/repo** ⭐{stars_today} — 一句话价值定位 [link]`
|
||||
- 一句话需点明"解决什么问题"，避免营销语
|
||||
- 风格约束：与 `prompts/digest.md` 同源；负面句式（"震撼""炸裂""革命性"）禁用；避免套话
|
||||
|
||||
#### prompts/section_hackernews_select.md（骨架）
|
||||
|
||||
- 角色定位（"HN 早间选题人"）
|
||||
- 输入：JSON 数组（30 条 frontpage 元数据：id / title / site / points / comments）
|
||||
- 关注领域：引用 §6.2
|
||||
- 任务：挑 `k` 个最符合关注领域的 story id（K 默认 1）
|
||||
- 决策原则：title + site 不足以判定 AI 相关时，**宁可漏选不可错选**（错选会让最终 LLM 写出与 AI Daily 调性无关的内容）
|
||||
- 输出：纯 JSON id 数组，如 `["12345"]` 或 `[]`（无任何匹配时返回空数组）
|
||||
- 严禁输出任何解释性文字
|
||||
|
||||
#### prompts/section_hackernews.md（骨架）
|
||||
|
||||
- 角色定位（"HN 早间编辑"）
|
||||
- 输入 schema 说明（K 个 enriched story，含 `link_content` 与 `top_comments`）
|
||||
- 关注领域：引用 §6.2（K=1 时通常无需筛选，仅作为行文背景参考）
|
||||
- 任务：对输入的 `K` 个 enriched stories 全部行文（不再二次挑选）
|
||||
- 内容要求（每条 story）：
|
||||
- 提炼原文核心（背景 / 要点 / 结论）
|
||||
- 汇总 HN 评论区的有价值观点（支持 / 反对 / 补充），不是简单复述
|
||||
- 若评论中出现明显反驳原文的观点，必须保留并标注
|
||||
- 输出格式建议（最终以 prompt 实测为准）：
|
||||
```
|
||||
### 标题 (N pts · M comments)
|
||||
- 链接: url
|
||||
- 内容总结: 2-3 条核心要点
|
||||
- 💬 HN 讨论: 1-2 条最有价值的观点（含反对意见）
|
||||
- 🔗 HN 讨论页: comments_url
|
||||
```
|
||||
- 风格约束：客观、犀利、克制；避免与 RSS digest 句式雷同；不做宏大叙事
|
||||
|
||||
#### prompts/insights.md（骨架）
|
||||
|
||||
- 角色定位（"AI 行业观察员"）
|
||||
- 输入：三段成品 markdown + 近 N 天 insights 板块清单
|
||||
- 任务：基于三段产出做跨板块小结
|
||||
- 风格约束：避免与 RSS digest 句式雷同；避免简单复述已经在其他板块出现过的具体新闻
|
||||
- 结构与 bullet 数量交由 prompt 内部约定，code 层不限制
|
||||
|
||||
### 6.4 调用顺序与并发
|
||||
|
||||
```python
|
||||
async def _run_morning_push(config):
|
||||
rss_md, gh_md, hn_md = await asyncio.gather(
|
||||
run_rss_section(config, now),
|
||||
run_github_section(config, now),
|
||||
run_hackernews_section(config, now),
|
||||
return_exceptions=False, # 各 section 自吞异常,不抛
|
||||
)
|
||||
|
||||
insights_md, _ = await run_insights_section(rss_md, gh_md, hn_md, config, now)
|
||||
|
||||
final = _assemble_with_sentinels({
|
||||
"rss": rss_md,
|
||||
"github": gh_md,
|
||||
"hackernews": hn_md,
|
||||
"insights": insights_md,
|
||||
})
|
||||
|
||||
await send_to_platforms(final, config["push"])
|
||||
save_push_file(get_push_file(), final, profile="morning", ...)
|
||||
```
|
||||
|
||||
`_assemble_with_sentinels(sections: dict[str, str]) -> str` 的契约：
|
||||
|
||||
- 按固定顺序拼装 `rss → github → hackernews → insights`
|
||||
- 空 markdown 段整段省略（连同 sentinel）
|
||||
- 段间留一个空行
|
||||
|
||||
## 7. 行业洞察板块设计
|
||||
|
||||
按用户决策，本节**不在 code 层规定 insights 的格式**：
|
||||
|
||||
- bullet 数量、子标题、字数限制、固定栏目等都属于 prompt 工程范畴
|
||||
- 调整方法：编辑 `prompts/insights.md` 而非改代码
|
||||
- 输入合同（code 层保证）：
|
||||
- `sections["rss" | "github" | "hackernews"]` 三个键的 markdown
|
||||
- 任一板块为空时该键值为 `"(本次无内容)"`
|
||||
- `recent_insights`：近 `filter.push_context_days` 天 insights 段标题清单（防风格趋同）
|
||||
- 输出合同（code 层不校验）：直接作为 markdown 段插入
|
||||
|
||||
## 8. 配置 schema 增量
|
||||
|
||||
```json
|
||||
{
|
||||
"filter": {
|
||||
"min_score": 60,
|
||||
"hot_threshold": 90,
|
||||
"context_days": 2,
|
||||
"keep_days": 7,
|
||||
"push_context_days": 5,
|
||||
"no_content_marker": "[NO_NEW_CONTENT]"
|
||||
},
|
||||
"schedule": {
|
||||
"fetch_interval_minutes": 30,
|
||||
"fetch_lookback_minutes": 120,
|
||||
"push_cron": ["0 8 * * *", "0 17 * * *"],
|
||||
"timezone_hours": 8
|
||||
},
|
||||
"sections": {
|
||||
"github_trending": {
|
||||
"enabled": true,
|
||||
"max_items": 3,
|
||||
"max_deep_dive": 10,
|
||||
"readme_max_chars": 10000,
|
||||
"history_file": "news-data/trending-history.json",
|
||||
"request_timeout": 10,
|
||||
"tokenName": "GITHUB_TOKEN"
|
||||
},
|
||||
"hackernews": {
|
||||
"enabled": true,
|
||||
"select_k": 1,
|
||||
"top_comments": 30,
|
||||
"top_l2_per_l1": 3,
|
||||
"comment_max_chars": 2000,
|
||||
"comments_total_chars": 60000,
|
||||
"link_content_max_chars": 50000,
|
||||
"request_timeout": 10,
|
||||
"algolia_base": "https://hn.algolia.com/api/v1"
|
||||
},
|
||||
"insights": {
|
||||
"enabled": true
|
||||
}
|
||||
},
|
||||
"llm": {
|
||||
"prompts": {
|
||||
"score_batch": "prompts/score_batch.md",
|
||||
"immediate_push": "prompts/immediate_push.md",
|
||||
"digest": "prompts/digest.md",
|
||||
"section_github": "prompts/section_github.md",
|
||||
"section_hackernews_select": "prompts/section_hackernews_select.md",
|
||||
"section_hackernews": "prompts/section_hackernews.md",
|
||||
"insights": "prompts/insights.md"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
向后兼容：
|
||||
|
||||
- `sections` 整段缺失 → 等价于全部 `enabled=false` → push_job 走原有纯 RSS 路径
|
||||
- `push_cron` 为空 → 无早报触发,不生成新板块
|
||||
- 旧 push 文件没有 sentinel → `extract_section("rss", ...)` 返回整个 body，其他 section 返回空字符串
|
||||
- `GITHUB_TOKEN` 未设 → GH 模块匿名调用，照常运行
|
||||
|
||||
## 9. 失败隔离与降级策略
|
||||
|
||||
| 失败位置 | 行为 |
|
||||
|---|---|
|
||||
| `run_rss_section` 失败 | 整个 push_job 退出非 0（核心承诺不变） |
|
||||
| GH trending 抓取 / 解析失败 | `run_github_section` 返回 `("", error)` → 板块整段省略 → 告警 |
|
||||
| GH 单 repo metadata/readme 失败 | 该 repo 跳过 + 错误聚合，不阻塞其他 repo |
|
||||
| GH summarize LLM 失败 | 板块整段省略，告警 `notify_llm_errors("section_github", ...)` |
|
||||
| HN 首页抓取失败 | 同 GH |
|
||||
| HN 轻 LLM 初筛失败或返回空 | 板块整段省略，告警（初筛失败）或静默（结果为空） |
|
||||
| HN 单 story enrich 失败 | 字段留空，metadata 仍传给最终 LLM |
|
||||
| HN summarize LLM 失败 | 板块整段省略，告警 |
|
||||
| insights LLM 失败 | 洞察段省略，其他板块照常推送，告警 |
|
||||
| 早报判定为否 | 完全跳过 GH/HN/insights，不消耗任何额外 API |
|
||||
| `sections.xxx.enabled=false` | 对应模块直接返回 `("", None)`，静默跳过 |
|
||||
|
||||
整体准则：**RSS 是核心，其余是增强**。除 RSS 外的任何失败都不阻塞推送，但都通过现有 `notify_llm_errors` 通道发简单告警，方便事后排查。
|
||||
|
||||
## 10. 早报判定逻辑
|
||||
|
||||
```python
|
||||
def is_morning_push(now: datetime, config: Dict) -> bool:
|
||||
cron_list = config.get("schedule", {}).get("push_cron", [])
|
||||
if not cron_list:
|
||||
return False
|
||||
if len(cron_list) == 1:
|
||||
return True # 唯一定时即"最早",任何触发都视为早报
|
||||
|
||||
base = now.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
today_fires = [croniter(c, base).get_next(datetime) for c in cron_list]
|
||||
closest = min(today_fires, key=lambda f: abs(now - f))
|
||||
return closest == min(today_fires)
|
||||
```
|
||||
|
||||
规则:`push_cron` 中 now 离哪条 cron 最近就归为那条;最近的那条若是当天最早的 cron,则视为早报。
|
||||
|
||||
为什么不再用单独的 `morning_cron` + 容差:
|
||||
- 复用 `push_cron`,少一个配置项,加 cron 自动延展
|
||||
- 「最近匹配」自动等价于容差 = 到次近 cron 距离的一半,systemd timer 漂移更稳健
|
||||
- 单条 cron 部署自然变成"每次推送都是早报",与用户预期一致
|
||||
|
||||
## 11. 与现有模块的集成点
|
||||
|
||||
- `src/main.py::run_push_job` 改造：
|
||||
1. 开头加 `is_morning = is_morning_push(now, config)`
|
||||
2. `is_morning=False` 时走原路径（`compose_digest` only）
|
||||
3. `is_morning=True` 时进入 `_run_morning_push` 编排（四模块 + sentinel 拼装）
|
||||
- `src/storage.py` 新增：
|
||||
- `extract_section(content, section)` + `load_recent_section_titles(section, days, data_dir)`
|
||||
- `load_trending_history(path) -> TrendingHistory`、`TrendingHistory.cleanup/touch/save`
|
||||
- `save_push_file` 微调：frontmatter 带上 `profile: "morning"|"default"`，方便后续按 profile 分析
|
||||
- `cleanup_old_files` 增加对 `trending-history.json` 的"过期条目剪枝"（不删整个文件）
|
||||
- `src/push/` **不动**，平台层无感知
|
||||
- `src/llm.py` 新增 4 个函数：`select_ai_related_hn / summarize_github_trending / summarize_hackernews / generate_trend_insights`
|
||||
- `src/sections/` 全新模块树（4 个子包）
|
||||
|
||||
## 12. 测试策略
|
||||
|
||||
新增单元测试：
|
||||
|
||||
- `tests/pytest/test_sections_github_scraper.py`：本地 HTML fixture（保存几个真实 trending 页面快照）→ 测试解析
|
||||
- `tests/pytest/test_sections_github_history.py`：测试 `TrendingHistory.touch/cleanup`、URL 已存在/不存在分支
|
||||
- `tests/pytest/test_sections_github_enricher.py`：mock `aiohttp` → 测试 REST API 字段映射、archived 过滤、token 鉴权头
|
||||
- `tests/pytest/test_sections_hackernews_scraper.py`：HN 首页 fixture → 测试 30 条解析
|
||||
- `tests/pytest/test_sections_hackernews_enricher.py`：mock Algolia → 测试评论 top_comments 截断、Show HN 特例
|
||||
- `tests/pytest/test_storage_sections.py`：sentinel 切片（含老文件 fallback）、`load_recent_section_titles`
|
||||
- `tests/pytest/test_morning_detection.py`：cron 边界、容差、跨时区
|
||||
|
||||
新增交互式脚本（与现有 `tests/*.py` 风格一致）：
|
||||
|
||||
- `tests/run_morning_push.py`：模拟一次完整早报，强制 `is_morning=True`
|
||||
- `tests/fetch_trending.py`：单独跑 GH 抓取 + deep-dive
|
||||
- `tests/fetch_hackernews.py`：单独跑 HN 抓取 + enrich
|
||||
|
||||
## 13. 实施步骤建议
|
||||
|
||||
按依赖顺序实施，每步可独立 PR / commit：
|
||||
|
||||
1. **storage 层**：sentinel 切片、`trending-history.json` 读写、`load_recent_section_titles`、`save_push_file` profile 字段、`cleanup_old_files` 对 history 文件的处理 + 单测
|
||||
2. **RSS 模块迁移**：把现有 `run_push_job` 中的 RSS 流程提取为 `run_rss_section`，验证行为不变
|
||||
3. **GitHub 模块**：trending scraper → history → enricher → section 入口 + 单测 + fixture
|
||||
4. **Hacker News 模块**：frontpage scraper → Algolia enricher → section 入口 + 单测 + fixture
|
||||
5. **LLM 函数 + Prompt 文件**：4 个新 LLM 函数 + 4 个 prompt
|
||||
6. **Insights 模块**：依赖 §5.4，相对简单
|
||||
7. **push_job 升级**：早报判定 + 四模块编排 + sentinel 拼装 + 失败隔离
|
||||
8. **配置 schema 升级**：`config.json.example` 与 `config.json` 同步；README 配置详解章节补全
|
||||
9. **文档同步**：`docs/tech-spec.md` 把架构升级合并；`docs/plan.md` 写进度
|
||||
|
||||
## 14. 关键决策记录
|
||||
|
||||
| 决策 | 方案 | 原因 |
|
||||
|---|---|---|
|
||||
| 新板块时机 | 仅早报（当天最早一次 `push_cron` 触发） | 板块价值更适合一日一报；晚报维持原有 RSS 节奏；复用 push_cron 不引入新配置 |
|
||||
| 模块边界 | `src/sections/<board>/` 各自封装抓取+LLM+总结 | 模块自治便于扩展、替换、单测；上游编排极简 |
|
||||
| sentinel 归属 | push_job 上游统一包 | 模块不感知自己的板块标识；新增板块零修改成本 |
|
||||
| GH trending 数据源 | 单页 HTML `https://github.com/trending`，无语言/since 过滤 | 用户决策：最简、最稳；语言过滤靠 topics + readme 在 LLM 层判 |
|
||||
| GH deep-dive 内容 | REST API 拿 metadata + topics + README | topics 是 AI 相关性最强信号；metadata 补 license/pushed_at；README 给内容深度 |
|
||||
| GH 鉴权 | GITHUB_TOKEN 可选 | 日 ~20 calls 远低于匿名 60 req/hr 上限；零配置即可跑 |
|
||||
| GH 筛选策略 | history 过滤 → 全部 deep-dive → 一次 LLM 选 1-3 | 候选量小（5-15）；单次 LLM 比两阶段简单且选择质量高 |
|
||||
| GH 候选护栏 | `max_deep_dive=10` | 极端日（trending 大改）限制 HTTP 与 token 消耗 |
|
||||
| HN 数据源 | 首页 HTML + 评论/正文 Algolia | 首页要"现场感"走 HTML；Algolia 评论 JSON 结构清晰，免去 indent-tree 解析 |
|
||||
| HN 筛选策略 | 30 条 → 轻 LLM 选 K=1 → enrich → 最终 LLM 行文 | 用户决策：把 enrich 工作量压到 1 个 story；轻 LLM 用 title 已足够判 AI 相关 |
|
||||
| HN 评论结构 | L1 + 每个 L1 下挂 N 条 L2 回复,tree JSON 喂 LLM | 真实数据:L2 信息量与 L1 持平(24 条/8k chars vs 18/6k);拍平丢失父子关系,LLM 无法识别"回复反驳了顶层"。Tree 结构让 LLM 看清论辩链 |
|
||||
| HN 评论上限 | `top_comments=30`(L1)+ `top_l2_per_l1=3` + `comments_total_chars=60000`(总预算) | 真实平均:L1 18 条/6k chars,L2 24 条/8k。30+3 给足余量但平均只跑 ~14k。总预算硬上限拦住离群 story(309 评论那种) |
|
||||
| 无历史上下文 | GH / HN 板块均不传 recent_section_titles | 用户决策：避免不必要的上下文污染；GH/HN 风格与 RSS digest 差异已足够大 |
|
||||
| insights 历史窗口 | 复用 `filter.push_context_days` | 不引入新字段；insights 段需要历史防风格趋同 |
|
||||
| insights 输出结构 | 由 prompt 决定，code 不强加 | 用户决策：bullet 数量与栏目属于 prompt 工程，便于迭代 |
|
||||
| GH / HN 关注领域沉淀 | 在 §6.2 集中定义正面列表 + 负面排除，3 个 prompt 引用 | 避免领域定义在 prompt 间漂移；用户已明确兴趣边界（AI Agent / 模型 / 基础设施 / 大厂动态），排除嵌入式、底层系统、纯前端模板、学习资源等 |
|
||||
| 板块 sentinel 用 HTML 注释 | `<!-- SECTION:xxx BEGIN/END -->` | markdown 渲染不显示；机器易解析；老 push 文件零冲突 |
|
||||
| 失败降级粒度 | 单板块失败省略本段；RSS 失败整体退出 | RSS 是核心承诺，其他是增强 |
|
||||
| 早报判定 | cron + 容差，而非"今天第一次" | 早报失败时晚报不会错误升级为长版本 |
|
||||
| 截断参数初始值（2026-05-17 合入） | `readme_max_chars=3000` / `top_comments=20` / `comment_max_chars=500` / `link_content_max_chars=3000` | 凭直觉给出的保守默认；上线后通过真实数据校准 |
|
||||
| 截断参数校准（2026-05-17 合入后,激进路径） | `readme_max_chars: 5000→10000` / `top_comments: 20→50` / `link_content_max_chars: 6000→50000` / `comment_max_chars: 800` 不变 / `max_prompt_chars: 64000→150000` | 用户决策:把 LLM 上下文用到 DeepSeek v4 flash 128k tokens 限的合理水平,优先内容深度而非 API 成本。Worst-case 单次 LLM prompt:GH≈110k chars / HN≈95k chars,均在 150k budget 内。中英混合 100k chars ≈ 30-50k tokens,远低于 128k 模型限 |
|
||||
| 单板块 CLI（2026-05-17 合入后） | `python -m src.main github` / `hackernews` | 便于 prompt 调优期反复跑单板块而不消耗全套 LLM 调用 |
|
||||
|
||||
|
||||
hacker news 评论统计
|
||||
|
||||
┌─────────────┬──────────┬──────────────┬────────────────┬──────────┐
|
||||
│ 层级 │ 平均条数 │ 平均 md 字符 │ 平均单条 chars │ 最大单条 │
|
||||
├─────────────┼──────────┼──────────────┼────────────────┼──────────┤
|
||||
│ L1 顶层评论 │ 18 │ 5,952 │ ~330 │ 1,755 │
|
||||
├─────────────┼──────────┼──────────────┼────────────────┼──────────┤
|
||||
│ L2 一级回复 │ 24 │ 8,166 │ ~340 │ 2,381 │
|
||||
├─────────────┼──────────┼──────────────┼────────────────┼──────────┤
|
||||
│ L3+ 更深层 │ 41 │ 13,048 │ ~315 │ 2,291 │
|
||||
├─────────────┼──────────┼──────────────┼────────────────┼──────────┤
|
||||
│ ALL 全部 │ 83 │ 27,166 │ ~330 │ 2,381 │
|
||||
└─────────────┴──────────┴──────────────┴────────────────┴──────────┘
|
||||
@@ -0,0 +1,90 @@
|
||||
## TODO
|
||||
|
||||
当前待办
|
||||
|
||||
- [ ] 优化提示词： 推送格式；参考链接去除非官方信息； insights 不够深度
|
||||
- [ ] 日志系统，保存到文件，push和fetch分开，
|
||||
- [ ] 早报内容格式优化：参考appso / xiaohu / ai gap
|
||||
- [ ] 优先级顺序
|
||||
- [ ] 美化排版
|
||||
- [ ] 添加更多信息源，如 TechCrunch、
|
||||
- [ ] 允许fetch链接中的内容对信息进行扩展
|
||||
- [ ] 更多信息源以及信息获取不全： https://www.anthropic.com/research/glasswing-initial-update / github blog
|
||||
|
||||
|
||||
长期待办
|
||||
|
||||
- [ ] 增加图片/信息图
|
||||
- [ ] 推送到知乎 / 小红书 / 网站
|
||||
- [ ] llm api fallback
|
||||
|
||||
## 技术决策记录
|
||||
|
||||
| 决策 | 方案 | 原因 |
|
||||
|------|------|------|
|
||||
| 定时调度 | systemd timer（生产）+ croniter（loop 模式） | 进程崩溃/服务器重启可自愈，配置热更新，比内置 asyncio.gather 更稳健 |
|
||||
| 包管理 | uv | 速度快、单工具管理 venv/pip/lockfile，项目独立 `.venv` |
|
||||
| LLM 健康检查 | 仅在 `install.sh` / `loop` 启动时校验 | 每次 timer 触发都校验会增加无意义的 LLM API 调用，运行期异常由 `notify_llm_errors` 兜底 |
|
||||
| 日志方案 | journald 命名空间 `dnews` + `MaxRetentionSec` | 与系统其他服务隔离，按 `log.retention_days` 自动轮转，无需写文件日志 |
|
||||
| 数据格式 | JSON | 结构清晰、易处理、支持嵌套 |
|
||||
| 推送文件 | Markdown+YAML | 人工可读、Frontmatter 元数据 |
|
||||
| LLM 评分 | 批量 JSON | 减少 API 调用次数 |
|
||||
| 状态追踪 | 文件时间戳 | 无需外部数据库 |
|
||||
| RSS延迟防护 | fetch_lookback_minutes | 防止RSS延迟导致漏读 |
|
||||
| LLM异常通知 | 调用方统一上报 | 避免批次级刷屏，同时保留关键异常通知 |
|
||||
| 报告 metadata 统一 | 全部从 LLM frontmatter 解析(早报/晚报/即时) | 取代之前的 `extract_title_from_content` h1 提取+硬编日期标题；个性化标题 + lead 导读 + highlights 列表统一承载 |
|
||||
|
||||
## 开发进度
|
||||
|
||||
**2026-05-22**
|
||||
|
||||
- ✅ 推送 metadata 统一改造：晚报与即时消息也走 frontmatter（之前只有早报）
|
||||
- `prompts/digest.md` 增加 frontmatter（title/lead/highlights），删除正文「开头一句话定调」段
|
||||
- `prompts/insights.md` frontmatter 增加 `lead`（综合三段的 60-100 字前言）与 `highlights`（2-3 条卡片重点）
|
||||
- `prompts/immediate_push.md` 将 `# 标题` 迁到 frontmatter `title` 字段
|
||||
- `src/llm.py` 新增 `parse_digest_with_metadata` / `parse_immediate_push_with_metadata`，统一 `_parse_frontmatter` 帮手；移除 `extract_title_from_content`
|
||||
- `src/sections/rss/section.py` 返回三元组 `(body, metadata, err)`；早报丢弃 digest metadata，由 insights 段覆盖
|
||||
- 晚报现在拥有个性化标题 + lead + highlights，与早报对齐
|
||||
|
||||
|
||||
**2026-05-17**
|
||||
|
||||
- ✅ 早报扩展板块上线：在 RSS digest 之上叠加 GitHub Trending / Hacker News / 跨板块洞察三段，仅 `schedule.morning_cron` 命中时触发，晚报维持纯 RSS 行为
|
||||
- 设计与实施详见 [`docs/extra-sections-design.md`](extra-sections-design.md) 与 [`docs/superpowers/plans/2026-05-17-extra-sections.md`](superpowers/plans/2026-05-17-extra-sections.md)
|
||||
|
||||
**2026-05-15**
|
||||
- 优化提示词，修复长时运行下的新闻报告措辞趋同问题
|
||||
|
||||
**2026-05-14**
|
||||
- [x] 外置定时（已切换到 systemd timer）
|
||||
- [x] 系统服务一键运行（`scripts/install.sh`）
|
||||
- 使用uv进行python项目管理
|
||||
- 配置变更：`config.json` 新增 `log.retention_days` 字段
|
||||
- 新增 `daily-news` 系统级包装脚本：装在 `/usr/local/bin/daily-news`，提供 `start/stop/restart/status/logs` 等命令，封装 systemctl/journalctl 调用细节
|
||||
|
||||
**2026-03-08**
|
||||
- 新增 LLM 异常通知：`compose_digest`、`generate_immediate_push` 与 `score_batch` 的错误会通过现有推送渠道发送简单告警
|
||||
- 优化批量评分容错：`score_batch` 在批次返回数量不匹配时会按 `link` 回收可用结果，并聚合错误返回给调用方
|
||||
- 移除 `generate_immediate_push` 的 fallback 内容，生成失败时由调用方告警并跳过本次即时推送
|
||||
- 新增启动前 LLM 可用性检查：主程序在启动 fetch/push 双循环前先探测 LLM 接口，失败则直接退出
|
||||
- 修复 pytest 中遗留的旧推送平台命名问题，将 `wecom` 测试更新为当前 `feishu` 实现
|
||||
|
||||
**2026-03-03**
|
||||
- 采用 MIT 许可开源项目，添加 LICENSE 和 NOTICE 文件
|
||||
- 更新 RSS 源说明，致谢 BestBlogs 项目
|
||||
|
||||
**2026-03-02**
|
||||
- 修复RSS延迟漏读问题：新增 fetch_lookback_minutes 参数，fetch时读取过去更长一段时间的RSS条目进行去重
|
||||
- 新增飞书 Webhook 推送支持：使用卡片消息格式，支持 Markdown 渲染
|
||||
- 新增测试脚本 test_fetch_lookback.py
|
||||
- 更新 cleanup_old_files 函数支持 notify 文件清理
|
||||
|
||||
**2026-03-01**
|
||||
- 优化评分系统：通过更新 score 提示词提升评分质量
|
||||
- 即时推送去重：新增 notify-*.md 文件存储即时推送，LLM 调用时传入近期推送上下文避免重复
|
||||
- 汇总推送优化：新增 push_context_days 配置，汇总推送时传入近期推送上下文进行去重
|
||||
- 修复 score 类型问题：确保 LLM 返回的 score 为整数类型
|
||||
- 完善测试脚本：添加上下文参数和保存功能
|
||||
|
||||
**2026-02-28**
|
||||
- 初始化项目，MVP 已完成，支持 RSS 抓取、LLM 评分、定时推送、即时推送。
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,246 @@
|
||||
# tech-spec.md - 技术架构总览
|
||||
|
||||
> 本文档面向未来的 AI Agent 与核心开发者，目的是在阅读源码之前快速建立对项目的整体认识：项目定位、运行模式、核心数据流、模块边界、部署形态、关键约束。
|
||||
>
|
||||
> **本文写什么**：架构层面的"是什么、为什么、边界在哪里"；跨模块的数据流和契约；部署/运行环境约束；不读源码就无法获知的设计决策。
|
||||
>
|
||||
> **本文不写什么**：源码摘录、函数签名、字段清单、命令行帮助、变更日志、UI/文案。这些信息以源码、`README.md`、`docs/plan.md`、`config.json` 为准。
|
||||
>
|
||||
> **维护原则**：当架构边界、数据流、运行环境、部署形态或核心设计决策发生变化时同步更新本文；普通实现调整、字段增删、文案修改不在维护范围内。
|
||||
>
|
||||
> update: 2026-05-17
|
||||
|
||||
## 项目定位
|
||||
|
||||
AI 驱动的 RSS 新闻聚合与推送系统：周期性抓取 400+ AI 领域信息源，调用 LLM 评分筛选，按调度规则将高分内容汇总推送到 Discord / 飞书；高分热点条目在 fetch 阶段即时推送。
|
||||
|
||||
面向单机部署、单租户使用，所有状态以本地文件（JSON / Markdown）持久化，不依赖外部数据库或队列。
|
||||
|
||||
## 运行模式
|
||||
|
||||
| 模式 | 触发方 | 适用场景 |
|
||||
|------|--------|----------|
|
||||
| **生产**（推荐） | systemd timer 分别触发 `fetch` 与 `push` 单次任务 | 服务器长期运行，依赖 systemd 提供调度、重启、开机自启 |
|
||||
| **开发** | `loop` 子命令在单进程内并发跑 fetch/push 双循环 | 本地调试，无需 systemd |
|
||||
|
||||
CLI 子命令分工（详见 `python -m src.main --help`）：
|
||||
|
||||
- `check`：**唯一**的 LLM 健康检查入口，仅在部署期由 `install.sh` 调用
|
||||
- `fetch` / `push`：单次执行后退出，由 systemd timer 触发；运行期不再做 LLM 健康检查，异常由统一的告警通道兜底
|
||||
- `loop`：开发模式，启动时做一次健康检查，然后并发跑 fetch/push 循环
|
||||
- `github` / `hackernews`：单板块手动调试入口；只跑对应板块（含 LLM 总结），打印 markdown 到终端，**不**推送、**不**写入 push 文件。仅供 prompt 调优期使用
|
||||
|
||||
关键约束：`fetch` / `push` 失败时进程退出码非 0，systemd 据此判定 service 失败，下个 timer 周期自动重试。
|
||||
|
||||
## 核心架构
|
||||
|
||||
### 调度模型（生产）
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ config.json │
|
||||
│ schedule.fetch_interval_minutes → dnews-fetch.timer │
|
||||
│ schedule.push_cron → dnews-push.timer │
|
||||
│ log.retention_days → journald@dnews retention│
|
||||
└────────────────────────┬────────────────────────────────────┘
|
||||
│ scripts/install.sh 渲染并安装
|
||||
┌────────────┴────────────┐
|
||||
▼ ▼
|
||||
┌───────────────────┐ ┌───────────────────┐
|
||||
│ dnews-fetch.timer │ │ dnews-push.timer │
|
||||
└─────────┬─────────┘ └─────────┬─────────┘
|
||||
▼ ▼
|
||||
┌───────────────────┐ ┌───────────────────┐
|
||||
│ fetch.service │ │ push.service │
|
||||
│ 抓取+评分+热点推送│ │ 收集+汇总+推送 │
|
||||
└─────────┬─────────┘ └─────────┬─────────┘
|
||||
└────────────┬────────────┘
|
||||
▼
|
||||
┌─────────────────┐
|
||||
│ news-data/ │
|
||||
│ fetch-*.json │
|
||||
│ push-*.md │
|
||||
│ notify-*.md │
|
||||
└─────────────────┘
|
||||
```
|
||||
|
||||
开发模式（`loop`）以 `asyncio.gather(fetch_loop, push_loop)` 并发运行两条循环，`push_loop` 通过 croniter 计算下次触发时间，行为等价于生产模式但共享单进程。
|
||||
|
||||
### 数据流
|
||||
|
||||
```mermaid
|
||||
flowchart LR
|
||||
subgraph Sources ["📡 RSS Sources"]
|
||||
RS1[Twitter/X]
|
||||
RS2[博客 / 媒体]
|
||||
RS3[微信公众号]
|
||||
end
|
||||
|
||||
subgraph Fetch ["🔄 fetch job (周期触发)"]
|
||||
F1[抓取 RSS] --> F2[HTML→Markdown] --> F3[LLM 批量评分]
|
||||
F3 --> HOT{score ≥ hot_threshold?}
|
||||
HOT -->|是| IP[即时推送 + notify-*.md]
|
||||
end
|
||||
|
||||
subgraph Push ["📅 push job (cron 触发)"]
|
||||
P1[读取近 N 天 fetch + 历史 push 上下文] --> P2[LLM 汇总去重] --> P3[生成 push-*.md] --> P4[推送 Discord / 飞书]
|
||||
end
|
||||
|
||||
subgraph Storage ["💾 news-data/"]
|
||||
DB[(JSON / MD)]
|
||||
end
|
||||
|
||||
Sources --> F1
|
||||
F3 --> DB
|
||||
IP --> DB
|
||||
DB --> P1
|
||||
P3 --> DB
|
||||
```
|
||||
|
||||
**关键数据契约**：
|
||||
|
||||
- `fetch-YYYY-MM-DD.json`：当日抓取与评分结果（含 score / summary / tags / content）
|
||||
- `push-YYYY-MM-DD.md`：汇总推送内容（YAML frontmatter + Markdown 正文），同时作为下一次 push 的去重上下文
|
||||
- `notify-YYYY-MM-DD.md`：即时推送记录，作为 LLM 即时推送时的去重上下文
|
||||
|
||||
具体字段以源码 `src/storage.py` 与样例文件为准，README "数据示例" 章节给出了一份示例。
|
||||
|
||||
## 关键模块边界
|
||||
|
||||
```
|
||||
src/ 运行时代码
|
||||
├── main.py CLI 入口；定义 fetch_job / push_job / loop 的编排顺序
|
||||
├── config.py 加载 config.json，合并 OPML + add/block，做配置校验
|
||||
├── fetcher.py RSS 抓取；并发控制、UA 伪装、域名通配符屏蔽；nitter/xcancel 走独立的 requests+Inoreader UA 低并发池
|
||||
├── processor.py HTML → Markdown 转换
|
||||
├── llm.py LLM 客户端;批量评分、即时推送生成、汇总生成、错误聚合
|
||||
├── storage.py news-data 文件读写;按日期分片;过期清理
|
||||
└── push/ 推送平台抽象
|
||||
├── base.py PushPlatform 基类(validate_config / send)
|
||||
├── discord.py
|
||||
└── feishu.py
|
||||
|
||||
scripts/ 部署脚本(仅生产 systemd 部署使用)
|
||||
├── install.sh 一键安装:uv sync → LLM check → 渲染单元 → 装入系统 → 启用
|
||||
├── uninstall.sh 卸载 systemd 单元、daily-news 包装脚本和日志 drop-in;不删数据
|
||||
├── status.sh 查看 timer/service 状态(daily-news status 包装它)
|
||||
├── _gen_units.py 从 config.json 渲染 systemd 单元和 daily-news 包装脚本
|
||||
└── daily-news.tmpl /usr/local/bin/daily-news 的脚本模板,封装 systemctl/journalctl
|
||||
|
||||
systemd/ systemd 单元模板(由 _gen_units.py 渲染并装入 /etc/systemd/system/)
|
||||
├── dnews-fetch.service.tmpl fetch service 单元模板
|
||||
├── dnews-fetch.timer.tmpl fetch 定时器(OnUnitActiveSec 间隔触发)
|
||||
├── dnews-push.service.tmpl push service 单元模板
|
||||
├── dnews-push.timer.tmpl push 定时器(OnCalendar 日历触发)
|
||||
└── journald-dnews.conf.tmpl journald 命名空间 dnews 的日志保留 drop-in
|
||||
|
||||
config.json 主配置;运行参数 + 调度 + LLM + 推送渠道;唯一可热改的运行配置
|
||||
prompts/ LLM 提示词文本;score / immediate_push / digest 各自独立文件
|
||||
resources/rss.opml 基础 RSS 订阅源(约 420 个),通过 sources.add/block 增量调整
|
||||
.env 敏感凭证(API Key / Webhook URL),通过环境变量注入,不入库
|
||||
```
|
||||
|
||||
### 板块化扩展 (morning push)
|
||||
|
||||
早报推送在 RSS 之上扩展三个板块:GitHub 趋势 / Hacker News 热议 / 跨板块洞察。模块结构、数据流与失败降级详见 `docs/extra-sections-design.md`。架构层关键约束:
|
||||
|
||||
- 仅在当天 `schedule.push_cron` 列表里最早那次触发时启用(单条 cron 时每次都启用),其余时段维持纯 RSS 行为
|
||||
- 各板块封装为 `src/sections/<board>/section.py::run_xxx_section(config, now) -> (markdown, error)`
|
||||
- `push_job` 用 `asyncio.gather` 并发跑 RSS / GH / HN,串行接 insights;最后用 `<!-- SECTION:xxx BEGIN/END -->` sentinel 包入 push 文件
|
||||
- 仅 RSS 失败会让 push_job 整体退出非 0;其余板块失败 → 板块整段省略 + 告警
|
||||
|
||||
新增持久化文件:`news-data/trending-history.json`(GH 已查阅 repo 索引,按 `filter.keep_days` 过期)
|
||||
|
||||
模块协作的关键约定：
|
||||
|
||||
- **fetch 与 push 之间通过文件系统解耦**：双方不直接通信，push 只读 fetch 已写入的 JSON
|
||||
- **LLM 调用的错误处理由调用方决定**：`llm.py` 不做 fallback，失败时返回 `(空内容, 错误列表)`；调用方决定是否告警或跳过推送，避免一个批次失败污染整次任务
|
||||
- **批量评分按 `link` 字段对齐**：LLM 返回的条目数可能少于输入，按 link 匹配并丢弃无法对齐的结果，错误聚合后由调用方统一上报
|
||||
- **推送平台通过基类多态**：新增平台只需实现 `validate_config()` 与 `send()`，并在工厂函数注册，main.py 无需改动
|
||||
|
||||
## 数据边界与持久化
|
||||
|
||||
- 所有持久化数据落在项目根目录的 `news-data/`：按日期分片的 `fetch-*.json` / `push-*.md` / `notify-*.md`
|
||||
- 过期文件由 fetch job 在每次执行后清理，保留窗口由 `filter.keep_days` 控制
|
||||
- 没有数据库、没有外部缓存、没有跨机器同步；状态完全可由文件系统重建
|
||||
- 敏感信息（API Key、Webhook URL）只通过环境变量注入，禁止写入 `config.json` 或代码
|
||||
|
||||
## 配置与约束
|
||||
|
||||
完整配置字段说明见 `README.md` 的"配置详解"章节，本文只列出对架构有影响的约束。
|
||||
|
||||
### schedule
|
||||
|
||||
| 字段 | 约束 |
|
||||
|------|------|
|
||||
| `fetch_interval_minutes` | systemd 部署下用 `OnUnitActiveSec` 实现，从上次任务**完成**开始计时（非日历对齐） |
|
||||
| `fetch_lookback_minutes` | 必须大于 `fetch_interval_minutes`，用作 RSS 延迟的冗余窗口，依赖 link 去重防止重复入库 |
|
||||
| `push_cron` | systemd 部署下**只支持 minute/hour 字段**，其他位必须为 `*`；不支持范围、列表、`*/N`。`loop` 模式下走 croniter，支持完整语法 |
|
||||
| `timezone_hours` | 整数小时偏移；用于显示和 cron 计算 |
|
||||
|
||||
### log
|
||||
|
||||
`log.retention_days` 仅对 systemd 部署生效，由 `install.sh` 渲染到 journald 命名空间 `dnews` 的 drop-in 配置；修改后必须重跑 `install.sh`。
|
||||
|
||||
### LLM
|
||||
|
||||
`llm.max_prompt_chars` 决定批次切分粒度，`llm.max_concurrent_batches` 决定批次并发数。这两个值同时影响吞吐和单次推送的成本上限。
|
||||
|
||||
### 环境变量
|
||||
|
||||
敏感凭证名通过 config.json 的 `*.apiKeyName` 字段指定环境变量名，由 `os.environ` 读取；约定通过 `.env` 提供，systemd 部署时 install.sh 会注入到 service 单元的 `EnvironmentFile`。
|
||||
|
||||
## systemd 部署形态
|
||||
|
||||
### 文件落点
|
||||
|
||||
| 文件 | 位置 | 来源 |
|
||||
|------|------|------|
|
||||
| `dnews-{fetch,push}.{service,timer}` | `/etc/systemd/system/` | `systemd/*.tmpl` 由 `_gen_units.py` 渲染 |
|
||||
| `journald@dnews` retention drop-in | `/etc/systemd/journald@dnews.conf.d/` | `systemd/journald-dnews.conf.tmpl` |
|
||||
| `daily-news` 包装脚本 | `/usr/local/bin/` | `scripts/daily-news.tmpl` |
|
||||
| 持久化数据 | 项目目录下的 `news-data/` | 运行时生成 |
|
||||
|
||||
### cron → OnCalendar 转换
|
||||
|
||||
由 `scripts/_gen_units.py` 完成：
|
||||
|
||||
- `fetch_interval_minutes` → `OnActiveSec` + `OnUnitActiveSec`（间隔触发，跟随上次完成时间）
|
||||
- `push_cron` → `OnCalendar`（日历触发，按指定时刻）
|
||||
- 不支持的 cron 语法（范围、列表、`*/N` 在 minute/hour、非 `*` 的 day/month/dow）在 install 阶段直接报错
|
||||
|
||||
### 日志
|
||||
|
||||
- 所有 stdout/stderr 进入 journald 命名空间 `dnews`，与系统其他服务隔离
|
||||
- 查询：`journalctl --namespace=dnews -u dnews-fetch -f`
|
||||
- 卸载不会清理历史日志，需要时手动 `journalctl --namespace=dnews --vacuum-time=1s`
|
||||
|
||||
## 设计决策（重要的"为什么"）
|
||||
|
||||
| 决策 | 原因 |
|
||||
|------|------|
|
||||
| 调度交给 systemd timer 而非 asyncio 循环 | 进程崩溃和服务器重启可自愈；调度配置即声明式单元，热更新只需重跑 install.sh |
|
||||
| LLM 健康检查只在 `check` 子命令做 | 每次 timer 触发都校验会产生无意义的 LLM API 调用；运行期错误由 `notify_llm_errors` 兜底 |
|
||||
| LLM 失败时不生成 fallback 内容 | 避免低质量内容污染推送；由调用方决定告警或跳过 |
|
||||
| 用 journald 命名空间而非文件日志 | 自动轮转、与系统日志隔离、无需写文件 IO 代码 |
|
||||
| 数据全用本地文件而非数据库 | 单机单租户场景下足够；可读、可备份、可手动审阅 |
|
||||
| `fetch_lookback_minutes` 冗余窗口 | RSS 源时间戳常有延迟，仅按时间过滤会漏读；冗余抓取后按 link 去重 |
|
||||
| Push 上下文带入近 N 天历史 push 文件 | 避免汇总推送在多个时段重复推同一条目 |
|
||||
|
||||
## 扩展指南
|
||||
|
||||
- **新推送平台**：在 `src/push/` 新建文件，继承 `PushPlatform`，在工厂注册
|
||||
- **新评分维度**：编辑 `prompts/score.txt`，调整评分标准
|
||||
- **新 RSS 源**：编辑 `config.json` 的 `sources.add` / `sources.block` / `sources.block_domains`，无需修改 OPML
|
||||
|
||||
## 测试
|
||||
|
||||
测试入口分两类，详细命令参考 `README.md` 与 `tests/` 目录：
|
||||
|
||||
- `tests/pytest/`：单元/集成测试，CI 友好，`uv run pytest tests/pytest/` 一键跑
|
||||
- `tests/*.py`：交互式实操脚本（`fetch_news.py` / `push_news.py` / `run_llm_test.py` 等），针对真实 RSS 与 LLM 做端到端验证，用于调参和手测
|
||||
|
||||
## 相关文档
|
||||
|
||||
- 用户文档与配置详解：`README.md`
|
||||
- 任务进度与产品决策：`docs/plan.md`
|
||||
@@ -0,0 +1,129 @@
|
||||
你是一位顶级的 AI 行业观察家与日报主编。你的任务是将今天杂乱无章、来源各异的信息碎片，熔炼、重组成一篇**结构极度清晰、主次分明、洞察深刻**的《AI Daily 每日精选》。
|
||||
|
||||
|
||||
## 核心排版与整合规则（必须严格遵守）：
|
||||
1. **新旧剥离与进展追踪（新增核心规则）**：
|
||||
- 对比【今天的新信息】与【历史上下文】。如果今天的信息只是重复昨天的事实，请直接丢弃。
|
||||
- 如果今天的信息是**历史事件的延续**（如：前天爆火的某模型今天推出了新插件，或者昨天引发争议的事件今天有了反转），请将标题标记为 `[持续跟踪]`，并在正文中清晰划分“前情提要”与“最新突破”。
|
||||
2. **精准的事件级融合（切勿过度缝合）**：
|
||||
- **正确做法**：把讨论**同一具体事件**（如 DoD 与 Anthropic 合同风波）的官方声明、大佬锐评、社区反应合并为一条新闻，提炼全貌。
|
||||
- **错误做法**：绝对不要把两个毫不相干的工具更新强行塞进同一个标题下！如果它们是独立事件，请作为两条独立新闻输出。
|
||||
3. **精选原则**：
|
||||
- 只挑选真正有价值的 4-10 个核心事件。每条新闻必须对 **整个 AI 行业、技术演进、或广大开发者生态有宏观价值或者有意义的洞察**。宁缺勿滥。
|
||||
- **绝对剔除以下内容（负面清单）**：KOL/博主的个人动态、企业公关软文/广告、纯情绪发泄、未经验证的小道消息、以及无实质技术内容的闲聊。
|
||||
- 剔除与核心事件无关的冗余数据（如财报里的无关数字、无意义的背景描述）
|
||||
- 丢弃纯情绪发泄、闲聊和过度重复的内容。
|
||||
4. **结构化呈现**：每个事件采用 “一句核心亮点 + 展开的无序列表” 结构，让人一目了然。
|
||||
5. **客观专业**：用简练的中文，避免低级词汇，像分析师一样指出事件的行业意义。保留所有相关的原文链接，附在每个事件末尾。
|
||||
6. **避免风格趋同（重要）**：每天的前言导读必须从今日素材本身的具体事实出发，严禁评价性措辞/总结性套话/宏大叙事框架，避免成为流水线产物。
|
||||
- **禁止以下措辞框架**：「今日 AI 世界（的主题）是…」「今日 AI 世界从 X 转向 Y…」「主题正在/全面进入 X 阶段」「行业正从 X 进入 Y」之类高度模板化的总结性套话。
|
||||
- **禁止套用宏大叙事框架**：「深水区」「临界点」「拐点」「白热化」「下半场」「博弈」之类的词不要每天都用。
|
||||
- **避免重复使用同一组形容词**（"震撼""炸裂""革命性""现象级"等），同义词与表达句式要有变化。
|
||||
7. **正文不要写开头引言**：正文请直接从第一条新闻 `### 1️⃣ ...` 开始。导语统一由 frontmatter 的 `lead` 字段承载（见下文输出格式）。
|
||||
|
||||
## 输出格式（严格按以下结构输出，先 frontmatter 后正文）：
|
||||
|
||||
输出必须以 YAML frontmatter 起始，紧跟空行后接 markdown 正文。**绝对不要**在正文里写引言段或一级标题。
|
||||
|
||||
frontmatter 字段要求：
|
||||
- `title`: 提炼其中1-3个核心看点制作短标题，以**核心事实陈述**语气给出，格式 `"<事件1>，<事件2>"`，8-30 字。
|
||||
- ✅ 例：`"Anthropic 拒签五角大楼合同,Google 发布 Nano Banana 2"`
|
||||
- ❌ 严禁主观评价词与情绪词：「大爆发」「再起波澜」「终结」「开战」「颠覆」「震撼」「白热化」「拐点」「格局」
|
||||
- `lead`: 60-100 字前言导读，**只陈述今日具体发生的事实**（谁、做了什么、有何具体后果），按重要性串联。
|
||||
- ❌ 严禁评价性措辞：「挑战…范式」「打破…束缚」「重新定义」「拐点」「白热化」「下半场」「叙事割裂」「窗口收窄/关闭」「悄悄退回」「余波未平」「价格扭曲」「市场扭曲」等；
|
||||
- ❌ 严禁套话开场：「今日 AI 世界…」「主题正在进入…」「行业从 X 转向 Y」。
|
||||
- `highlights`: 2-3 条最值得关注的事件清单，每条 15-30 字，**纯事实陈述**（机构/产品 + 动作 + 具体数字/对象），用于卡片预览。
|
||||
- ✅ 例：`"DeepSeek 完成 700 亿融资，V4 Pro API 永久降价至 1/4"`
|
||||
- 今日素材不足以提炼 2 条明确重点时，可只输出 1 条；严禁硬凑。
|
||||
|
||||
正文要求：直接从 `### 1️⃣ ...` 开始,不要前言段。
|
||||
|
||||
示例：
|
||||
|
||||
```markdown
|
||||
---
|
||||
title: "Anthropic 拒签五角大楼合同,Google 发布 Nano Banana 2"
|
||||
lead: "Anthropic 拒绝与五角大楼签署模型供应合同,OpenAI 当日宣布接受国防部条件;Google 发布 Nano Banana 2,Image Arena 盲测登顶。"
|
||||
highlights:
|
||||
- "Anthropic 拒签五角大楼合同,OpenAI 接单"
|
||||
- "Google Nano Banana 2 发布,Image Arena 盲测登顶"
|
||||
- "Claude Code 上线 /remote-control,接管 Workspace"
|
||||
---
|
||||
|
||||
### 1.Google 发布 Nano Banana 2：图像生成模型大洗牌
|
||||
|
||||
* **核心发布**：Google 官方推出基于 Gemini Flash 架构的 Nano Banana 2 模型，支持更灵活的长宽比和极高精度的多语言文本渲染。
|
||||
* **数据与表现**：发布首日即在 Image Arena 盲测中超越 GPT-4V 和上代 Pro 模型，登顶榜首。
|
||||
* **行业反响**：开发者社区反馈极佳，Lovart、Genspark 等主流 AI 产品已在第一时间宣布全量接入。
|
||||
🔗 [Google 官方博客](链接) | [Arena 榜单数据](链接) | [产品体验地址](链接)
|
||||
|
||||
### 2.[持续跟踪] 硅谷震动：Anthropic 拒签美国防部，各方反应激烈
|
||||
|
||||
* **前情提要**：昨日 Anthropic CEO 明确拒绝了五角大楼的合同，坚守不将模型用于自主武器的底线。
|
||||
* **最新进展**：Sam Altman 虽口头表达支持，但今日正式宣布 OpenAI 接受了国防部条件。
|
||||
* **深远影响**：这一事件不仅暴露出头部 AI 公司在 AI 安全准则上的巨大分歧，也暗示了未来政府在 AI 供应链上的强力介入。
|
||||
🔗 [Anthropic 声明](链接) |[OpenAI 回应](链接) | [Gary Marcus 评论](链接)
|
||||
|
||||
### 3.开发者福音：Claude Code 新增远程控制与批量处理
|
||||
|
||||
* **功能更新**：`/remote-control` 现已对所有 Pro 用户开放，支持终端直接控制 Google Workspace 等外部应用。
|
||||
* **即将上线**：预告下个版本将加入 `/simplify`（自动优化代码质量）和 `/batch`（并行处理）指令，Agentic Coding 体验大幅跃升。
|
||||
* **实用技巧**：社区已整理出 45 个即插即用的 Claude Code 高阶用法，极大降低了新手入门门槛。
|
||||
🔗 [Anthropic 博客](链接) | [45 个实用技巧 GitHub](链接)
|
||||
|
||||
### 4.[持续跟踪] OpenClaw 生态：从改名到 Moltbook 爆火
|
||||
|
||||
* **前情提要**：前身 Clawbot 凭借强大的 Agentic 能力引发关注并正式更名。
|
||||
* **最新突破**：今日基于 OpenClaw 的衍生项目 Moltbook 在开发者社区彻底爆火，单日斩获 5k Star，被大量极客用于本地工作流自动化。
|
||||
* **行业洞察**：这标志着 OpenClaw 正从单一工具走向平台化生态，其“寄生”在各类应用中的潜力开始显现。
|
||||
🔗 [OpenClaw 开源地址](链接)
|
||||
|
||||
```
|
||||
|
||||
*(根据上述结构，整合提取今天最重要的新闻。请直接输出 frontmatter + 正文，不要加分割线，不要在正文里写一级标题)*
|
||||
|
||||
## 参考数据
|
||||
|
||||
## 待处理的碎片化信息（共 {count} 条）：
|
||||
（说明：这是你今天需要提取和总结的**核心素材**，你的早报必须基于且仅基于这里的最新信息生成。）
|
||||
|
||||
entries是一个JSON数组，包含抓取到的社交媒体或者博客内容,每个对象包含以下字段：
|
||||
|
||||
- `title`: 文章标题
|
||||
- `source`: 文章来源
|
||||
- `link`: 文章链接
|
||||
- `score`: LLM评分 (0-100)
|
||||
- `summary`: 一句话摘要
|
||||
- `tags`: 标签数组
|
||||
- `published`: 发布日期
|
||||
- `content`: 文章内容
|
||||
|
||||
```json
|
||||
{entries}
|
||||
```
|
||||
|
||||
### 近 N 天已推送事件清单（仅供查重，严禁模仿）
|
||||
|
||||
说明：以下列表用于判断今日素材是否已报道过，以及是否属于「持续跟踪」类延续事件。
|
||||
- **只判断事件是否重复，不要参考其措辞、句式、栏目结构、emoji 选择**。
|
||||
- 今日的开头引言、标题风格、组织顺序，必须从今日素材本身出发，不得套用历史。
|
||||
|
||||
<RECENT_PUSH_CONTEXT BEGIN>
|
||||
{recent_push_context}
|
||||
<RECENT_PUSH_CONTEXT END>
|
||||
|
||||
|
||||
### 近几天已处理过的碎片化信息（供洞察参考）：
|
||||
|
||||
每条信息包含
|
||||
|
||||
- `title`: 文章标题
|
||||
- `source`: 文章来源
|
||||
- `score`: LLM评分 (0-100)
|
||||
- `summary`: 一句话摘要
|
||||
- `tags`: 标签数组
|
||||
- `published`: 发布日期
|
||||
|
||||
```txt
|
||||
{context}
|
||||
```
|
||||
@@ -0,0 +1,82 @@
|
||||
你是一位顶级的 AI 行业观察家与专业的 AI 领域突发新闻记者。你需要将最新发生的高分重磅消息整理成即时推送快讯。
|
||||
|
||||
## 输入数据格式
|
||||
|
||||
### 本次需要推送的原始数据
|
||||
|
||||
以下是一个JSON数组，包含抓取到的社交媒体或者博客内容,每个对象包含以下字段：
|
||||
|
||||
- `title`: 文章标题
|
||||
- `source`: 文章来源
|
||||
- `link`: 文章链接
|
||||
- `score`: LLM评分 (0-100)
|
||||
- `summary`: 一句话摘要
|
||||
- `tags`: 标签数组
|
||||
- `published`: 发布日期
|
||||
- `content`: 文章内容
|
||||
|
||||
```json
|
||||
{entries}
|
||||
```
|
||||
|
||||
## 任务要求：
|
||||
1. **严格查重与阻断机制（至关重要）**：仔细对比原始数据与【过去已推送历史】。如果原始数据中的事件已经推送过，且没有出现极其重大的新进展（例如从谈判变成了收购失败），请直接抛弃该事件。如果所有输入的事件都被判定为重复或无需推送，你必须且只能输出 [NO_NEW_CONTENT] 这几个字，绝对不要输出任何其他内容或标题。。
|
||||
2. **专业聚合**：如果输入数据中有多条讨论**同一个事件**（例如一条是官方发布，另一条是行业大佬的深刻评价），请将它们**融合为一条快讯**，不要分开写。
|
||||
3. **专业视角**：不要只是简单翻译，要像资深编辑一样组织内容——用 2-3 条无序列表项陈述「核心事实 (What)」，每项浓缩具体数字、版本号、机构名等可验证信息；列表之后另起一段给出 1-2 句「为什么值得关注 (Why it matters)」的洞察分析。洞察必须从本条新闻具体内容出发，词汇多样化，严禁滥用模板。
|
||||
4. **语气风格**：客观、犀利、克制。多用短句，重点内容加粗。简短分析 1-2 句话即可，紧扣本条事件本身的"是什么 / 为什么值得关注"，避免行业宏大叙事和未来预测——**严禁使用以下预测套话**：「或将重塑」「未来将」「可能加速」「暗示...将」「重塑...格局」「打开...想象空间」「意味着...时代到来」等模板化句式；避免与历史快讯句式雷同。
|
||||
|
||||
## 输出格式（严格输出 Markdown 文案）：
|
||||
|
||||
**情况 A：没有需要推送的新内容（全部重复）**
|
||||
|
||||
直接输出以下大写英文字符串，不要带有任何标点或 Markdown 格式：
|
||||
[NO_NEW_CONTENT]
|
||||
|
||||
**情况 B：有需要推送的新内容**
|
||||
|
||||
输出必须以 YAML frontmatter 起始（仅 `title` 一个字段），紧跟空行后接 markdown 正文。正文**不要写一级标题** `#`，直接从 `## 🔥` 开始。
|
||||
|
||||
严格按以下格式输出，不要输出任何铺垫语：
|
||||
|
||||
```markdown
|
||||
---
|
||||
title: "<个性化标题>"
|
||||
---
|
||||
|
||||
## <一句话总结最核心的事件标题，紧扣事实，避免营销语>
|
||||
**来源**: <主要信息源名称>
|
||||
|
||||
- <事实 1：用一句话点明最关键的发布/进展，含具体数字、版本号、机构名等可验证信息>
|
||||
- <事实 2：补充佐证或数据，避免空话>
|
||||
- <事实 3：可选，给出关键背景或社区反响>
|
||||
|
||||
<1-2 句洞察分析；只讲本条事件本身为何值得关注，不做行业宏大叙事，不做未来预测>
|
||||
|
||||
[<具体锚点，如「Google Cloud 博客」「OpenAI 官博」>](核心链接) | [<另一个具体锚点>](链接2，如有)
|
||||
|
||||
```
|
||||
|
||||
## 标题要求：
|
||||
- `<个性化标题>` 提取事件的核心关键词（5-15字），不要保留尖括号
|
||||
- 例如：
|
||||
- `"Gemini 3.5 Flash 发布"`
|
||||
- `"OpenAI 收购 Anthropic"`
|
||||
- `"Claude 4.7 性能突破"`
|
||||
- `"Cursor Composer 2.5 上线"`
|
||||
|
||||
注意：
|
||||
- 上面 `<...>` 是占位符，**实际输出时必须替换为真实内容，绝不能保留尖括号或字面占位符**。
|
||||
- 洞察分析每次都要不同，禁止跨条目复用同一套句式模板。
|
||||
- 输出必须直接从 `---` 起始，frontmatter 之后必须是空行，再接 `## `，正文不要再写 `# ...` 一级标题。
|
||||
- 链接锚点文本必须**具体**：采用「站点/作者名 + 内容类型」，例如「Google Cloud 博客」「OpenAI 官博」「Anthropic 公告」「GitHub 仓库」「SEC S-1 文件」「Simon Willison 博客」「Logan Kilpatrick 推文」；**严禁使用泛指锚点**如「阅读官方原文」「其他相关链接」「点击查看」「原文链接」。
|
||||
|
||||
*(如果有第二个不同主题的突发新闻，继续在正文里用 ## 🌟 格式追加一条，否则就此结束。frontmatter 仍只有一个 title,概括最核心的那一条。)*
|
||||
|
||||
## 过去 N 天已推送事件清单（仅供查重，严禁模仿）
|
||||
|
||||
- **只用来判断今日事件是否已推过**。
|
||||
- 严禁参考清单的措辞、句式、emoji、洞察标题写法。
|
||||
|
||||
<RECENT_PUSH_CONTEXT BEGIN>
|
||||
{recent_push_context}
|
||||
<RECENT_PUSH_CONTEXT END>
|
||||
@@ -0,0 +1,194 @@
|
||||
你是顶级的 AI 行业情报分析师（Tech Intelligence Analyst）。你的核心能力是从海量、碎片化、甚至相互矛盾的日常信息中，为从业者提取出具有"认知套利"价值的深度洞察（Alpha）。
|
||||
|
||||
你现在需要基于今日素材产出一篇日报的**元信息（metadata）** 与一段高信息密度的**深度洞察（Insights）**。
|
||||
|
||||
|
||||
## 任务总览（双视角，务必先读）
|
||||
|
||||
你的输出包含**两部分，选材标准与视角完全不同**：
|
||||
|
||||
| 部分 | 视角 | 选材 | 目的 |
|
||||
|------|------|------|------|
|
||||
| **Part 1 · metadata**（`title` / `lead` / `highlights` / `seotitle` / `seodescription` / `excerpt`） | 新闻编辑 | 今日**最重磅的事实事件** | 面向 SEO / 卡片预览 / 推送标题，做事实压缩 |
|
||||
| **Part 2 · 洞察正文**（`## 今日洞察` 段） | 情报分析师 | 今日**最具变化信号 / 二阶影响**的切片 | 帮读者识别趋势，挑出 Alpha |
|
||||
|
||||
⚠️ 两部分**可能聚焦不同事件**——metadata 写的是"今天发生了什么"，洞察正文写的是"今天什么正在变化"。**不要让任一部分被另一部分污染**：
|
||||
|
||||
- 不要因为洞察段重点写了 X 就把 X 塞进 title / highlights；
|
||||
- 也不要因为洞察段没写 Y 就漏掉重磅的 Y；
|
||||
- metadata 字段（包括 `excerpt`）的措辞、词汇、视角全部围绕"事实事件"，不要套用洞察段的趋势判断措辞。
|
||||
|
||||
---
|
||||
|
||||
## Part 1 · Metadata 生成
|
||||
|
||||
### 选材原则
|
||||
|
||||
metadata 负责"提炼今天发生了什么"——面向 SEO / 信息分发 / 卡片预览，**只做事实压缩，不做趋势判断**。
|
||||
|
||||
请从参考素材里按以下权重选**最重磅的 1-3 件事**填入 metadata 各字段：
|
||||
|
||||
- **来源权重**：当事方官方账号 / 官方博客 > KOL 实测 / 深度分析 > 媒体转述
|
||||
- **主题权重**：AI 核心（模型 / Agent / AI 产品 / AI 公司动态）优先于非 AI 主题（半导体 / 网络安全 / 前端 / 数据库等）
|
||||
- **价值分档**（从高到低）：里程碑级模型 / 产品 / 政策发布 > 重要技术进展 / 大佬深度观点 > 工具更新 / 教程 / 行业报告 > 二手转述 / 小道消息
|
||||
|
||||
**禁止**：
|
||||
|
||||
- 为了配合正文洞察观点，而忽略更重要的新闻
|
||||
- 选择影响范围较小但更适合分析的事件作为标题主事件
|
||||
- 在 metadata 字段里写趋势判断、价值评价、二阶影响——那些是 Part 2 的活
|
||||
|
||||
### 字段细则
|
||||
|
||||
- `title`: 提炼 1-3 个核心看点制作短标题，以**核心事实陈述**语气给出，格式 `"<事件1>，<事件2>"`，8-30 字。
|
||||
- ✅ 例：`"Anthropic 拒签五角大楼合同,Google 发布 Nano Banana 2"`
|
||||
- ❌ 严禁主观评价词与情绪词：「大爆发」「再起波澜」「终结」「开战」「颠覆」「震撼」「白热化」「拐点」「格局」
|
||||
|
||||
- `lead`: **综合三段素材**写一段 60-100 字的前言导读，**只陈述今日最重磅事件的具体事实**（谁、做了什么、有何具体后果），按重磅程度或三段顺序串联。
|
||||
- ❌ 严禁评价性措辞：「挑战…范式」「打破…束缚」「重新定义」「拐点」「白热化」「下半场」「叙事割裂」「窗口收窄/关闭」「悄悄退回」「余波未平」「价格扭曲」「市场扭曲」等
|
||||
- ❌ 严禁套话开场：「今日 AI 世界…」「主题正在进入…」「行业从 X 转向 Y」
|
||||
|
||||
- `highlights`: 2-3 条最值得关注的事件清单，每条 15-30 字，**纯事实陈述**（机构 / 产品 + 动作 + 具体数字），用于卡片预览。
|
||||
- ✅ 例：`"DeepSeek 完成 700 亿融资，V4 Pro API 永久降价至 1/4"`
|
||||
- ❌ 严禁评价动词修饰：「集体转」「全面进入」「彻底颠覆」「重塑」
|
||||
- 素材不足以提炼 2 条明确重点时可只输出 1 条；严禁硬凑
|
||||
|
||||
- `seotitle`: 60 字内 SEO 标题，结构与 `title` 类似但可更长，直接陈述 2-3 件核心事件。**禁止评价词**。
|
||||
|
||||
- `seodescription`: 100 字内 SEO 描述，**纯事实陈述** —— 主体 + 动作 + 数字 / 对象，按重要性串联。（吸引点击，包含核心事件）
|
||||
|
||||
- `excerpt`: 20 字内一句话信息钩子（hook），用一句简短、有张力的话概括“今日最值得注意的变化或反常信号”。
|
||||
- 必须锚定今日素材中的具体事件/数据，禁止脱离素材空泛发挥，要与title种的内容有关联
|
||||
- 可以适度使用“反直觉”“隐含变化”“行业情绪”等表达，但必须建立在今日内容事实上。
|
||||
- 风格接近 newsletter 副标题
|
||||
- 写法参考：
|
||||
- "Agent 工作流的效率边界正从模型能力转向架构设计"
|
||||
- "越来越多 Agent 项目开始绕开模型能力，转向工作流控制"
|
||||
- "HN 对 Claude Code 的争议，从能力转向成本"
|
||||
- "开发者正在把 MCP 当成默认接口层，而不是 Anthropic 生态"
|
||||
禁止：
|
||||
- 纯关键词堆砌："Claude、MCP、OpenAI"
|
||||
- 空泛评价："AI 行业竞争持续升级"
|
||||
- 营销号措辞："彻底改变行业的一天"
|
||||
- 无事实锚点的情绪化判断
|
||||
---
|
||||
|
||||
## Part 2 · 洞察正文生成
|
||||
|
||||
### 总原则
|
||||
|
||||
你的任务**不是总结新闻，而是识别今天这些事件里什么东西正在发生变化**。
|
||||
|
||||
最终输出要让读者获得：
|
||||
|
||||
- 原本没意识到的趋势；
|
||||
- 被 PR 包装掩盖的真实约束；
|
||||
- 开发者讨论中透露的方向变化；
|
||||
- 某个技术/产品/成本信号背后的连锁影响。
|
||||
|
||||
重点不是「发生了什么」，而是「**为什么这些变化现在开始出现，以及它会影响什么**」。
|
||||
|
||||
### 1. 优先识别"变化信号"，而不是新闻共性
|
||||
|
||||
先扫描今日素材是否存在以下变化模式：
|
||||
|
||||
- **讨论焦点迁移**：从模型能力转向成本/稳定性/工作流；
|
||||
- **产品形态变化**：从聊天式工具转向后台持续运行/Agent 化；
|
||||
- **工程约束开始主导设计**：推理成本、显存、延迟、上下文长度等硬约束反向定义产品；
|
||||
- **开发者行为变化**：大量项目集中接入 MCP/Agent/RAG/某新框架；
|
||||
- **PR 叙事与真实关注点错位**：官方强调 AGI，HN 讨论 deployment/debugging 的真实痛点；
|
||||
- **某类项目最近频繁出现**：记忆系统、Browser Agent、Code Runtime、本地推理等。
|
||||
|
||||
### 2. 每个洞察必须包含"二阶影响"
|
||||
|
||||
不要停留在「X 发布了」「Y 很重要」「大家开始关注 Z」。继续追问：
|
||||
|
||||
- 这个变化会让**谁受益、谁受限**？
|
||||
- 它会改变**开发者的默认选择**吗？
|
||||
- 它会改变**产品设计方式**或**成本结构**吗？
|
||||
- 它会**暴露之前被忽视的工程约束**吗？
|
||||
- 它**为什么是现在出现，而不是半年前**？
|
||||
|
||||
每段洞察推荐结构：**具体事件 → 隐含变化 → 一个连锁影响**。
|
||||
|
||||
### 3. 允许"单点深挖"，不要强求跨板块
|
||||
|
||||
真正有价值的洞察很多时候只来自一条数据、一个 API 改动、一次 HN 争论。若某条素材已经暴露明显变化，可以只围绕这一点展开：为什么它值得注意、为什么开发者开始集中讨论、它会改变什么工程约束或产品行为、它透露了什么之前不明显的趋势。**不要为了"跨板块"而硬凑关联**。
|
||||
|
||||
### 4. 严格锚定素材，禁止空泛行业评论
|
||||
|
||||
所有判断都必须能锚定到今日素材里的：产品更新、GitHub 项目、HN 讨论、财报数据、技术细节、benchmark、评论争议。**禁止脱离素材凭空发挥**，**禁止套用预训练知识**生成与今日素材无关的"分析"。
|
||||
|
||||
严禁输出如下空话：
|
||||
|
||||
- 通用泛论：「AI 行业持续发展」「竞争进一步加剧」「生态逐渐形成」「应用不断落地」「行业正在转向」；
|
||||
- 抽象大词：「深水区」「下半场」「底层逻辑」「赋能」「护城河」「范式转换」「博弈」「格局」「拐点」「白热化」；
|
||||
- 公式化转折/铺垫：「真正值得注意的是」「更深层的变化在于」「背后反映出」「某种程度上」「从 X 转向 Y」「不再是…而是…」。
|
||||
|
||||
若素材确实不支撑洞察，均为常规工程性更新、无明显新信号，**允许直接写**「今日素材主要为工程性更新，未出现明显的新方向信号」，**不要硬写伪深刻分析**。
|
||||
|
||||
### 5. 写作风格
|
||||
|
||||
风格对标 **Stratechery / SemiAnalysis / Latent.Space / Hacker News 高赞长评**，而非新闻播报、PR 稿总结、AI 自动摘要、行业黑话评论。
|
||||
|
||||
具体表现为：
|
||||
|
||||
- **直接陈述**观察结果，不绕弯、不铺垫；
|
||||
- 不要写成"研究综述"或"行业评论"，而要像资深科技编辑的 briefing；
|
||||
- 少用抽象词，多写**技术约束 / 工程行为 / 成本变化 / 产品取舍 / 开发者真实反馈**；
|
||||
- 数据有具体出处（模型名 + 版本 + benchmark / 价格 / stars 数 / 评论数等）。
|
||||
|
||||
### 6. 段落与长度
|
||||
|
||||
- 正文起始用 `## 今日洞察`，随后自然展开分析；
|
||||
- 不强制固定段数；根据素材密度自然分段；**段落之间用空行分隔**；
|
||||
- 每段只聚焦一个核心变化或判断，避免在同一段混入多个方向；
|
||||
- 段落尽量短而紧凑；单段不宜过长，避免连续大段铺陈；
|
||||
- 先给核心判断，再补充支撑它的事实、数据或工程细节；
|
||||
- **严禁** 粗体标签前缀——洞察通过文字本身的逻辑呈现，不需要标签包装；
|
||||
- **严禁清单式复述**：「RSS 提到 X，GH 出现 Y」这类排比是流水账，不是洞察；
|
||||
- 总长度 250-400 字，惜字如金，素材不足时允许更短，不要为了凑长度硬写；
|
||||
- **必须绝对溯源**：每个判断都要能锚定到今日素材的具体项目 / 数据 / 讨论，**禁止凭空发挥**。
|
||||
|
||||
---
|
||||
|
||||
## 输出格式
|
||||
|
||||
- 直接输出 markdown，不带任何引导语；
|
||||
- **结构**：先输出 YAML frontmatter（Part 1 metadata），紧跟空行后输出 Part 2 洞察正文；
|
||||
- 正文起始用 `## 今日洞察`。
|
||||
|
||||
### 输出示例
|
||||
|
||||
```markdown
|
||||
---
|
||||
title: "Cursor 发布 Composer 2.5,Anthropic 公开 Claude dreaming 机制"
|
||||
excerpt: "Anthropic 首次披露 dreaming 机制,Cursor 加自部署"
|
||||
seotitle: "Cursor Composer 2.5 发布，Anthropic 公开 Claude dreaming，HBM 占 AI 芯片成本 63%"
|
||||
seodescription: "Cursor 发布 Composer 2.5，新增 Agent 自主部署；Anthropic 访谈披露 Claude dreaming 机制——空闲时后台压缩上下文；Epoch AI 数据显示 HBM 占 AI 芯片组件成本升至 63%。"
|
||||
lead: "Cursor 发布 Composer 2.5，新增 Agent 自主部署能力；Anthropic 在访谈中首次披露 Claude dreaming 机制——Agent 空闲时后台回顾记忆、压缩上下文；Epoch AI 分析显示 HBM 占 AI 芯片组件成本从 2024 Q1 的 52% 升至 2025 Q4 的 63%，绝对支出从 120 亿增至 320 亿美元。"
|
||||
highlights:
|
||||
- "Cursor Composer 2.5 发布，新增 Agent 自主部署"
|
||||
- "Anthropic 首次披露 Claude dreaming 机制"
|
||||
- "HBM 占 AI 芯片成本 63%，绝对支出涨至 320 亿"
|
||||
---
|
||||
|
||||
## 今日洞察
|
||||
|
||||
{要点1 ...}
|
||||
|
||||
{要点2 ...}
|
||||
|
||||
{要点3 ...}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 今日素材
|
||||
|
||||
### 新闻 板块（代表：媒体叙事、PR传播、宏观动态）
|
||||
{rss}
|
||||
### GitHub 板块（代表：开发者共识、工程实践、底层演进）
|
||||
{github}
|
||||
### Hacker News 板块（代表：硬核极客评判、争议探讨、技术风向）
|
||||
{hackernews}
|
||||
@@ -0,0 +1,69 @@
|
||||
你是一个专业且严苛的 AI 行业新闻主编。请对抓取到的碎片化信息进行过滤、评分和信息提取。
|
||||
|
||||
|
||||
## 任务与评分标准
|
||||
请根据以下标准为每条信息打分（0-100）。
|
||||
|
||||
**核心约束（先判这三条，再进入分档）**：
|
||||
1. 90+ **必须同时满足**：(a) 主题与 AI / 大模型 / Agent / AI 产品 / AI 公司动态强相关；(b) 来源为**当事方本人的官方账号或官方博客**（非 KOL、非媒体、非分析师转述）；(c) 属于首发
|
||||
2. 非 AI 主题（网络安全、Web/前端、操作系统、数据库、纯软件工程、纯硬件等）无论多重大、即使来自官方，**上限 79 分**
|
||||
3. AI 重磅新闻若来源是 KOL / 媒体 / 分析师转述（即使转述的是新模型发布），**上限 89 分**——KOL 的转述价值低于官方首发
|
||||
|
||||
**分档**：
|
||||
- 【90-100分】AI 领域 + 官方首发 + 里程碑级模型/产品/政策发布。
|
||||
*例子：OpenAI 发布 GPT-5；Anthropic 官博发布拒绝美国防部合同声明；Google DeepMind 发布 Gemini 3。*
|
||||
- 【80-89分】重要 AI 技术进展、知名 AI 大佬核心观点、深度技术分析；或 AI 重磅新闻但通过 KOL/媒体转述。
|
||||
*例子：某开发者开源能让 LLM 推理快 50% 的框架；Jeff Dean 深度解析某新技术；KOL 实测并转述 Deepseek 新发布的 V4 Pro。*
|
||||
- 【70-79分】实用工具更新、教程、行业报告；**非 AI 主题**的重磅新闻（即使来自官方）。
|
||||
*例子：Cursor 新增某小功能；Claude Code 45 个技巧分享；Google 官方发布中文 PhaaS 钓鱼服务报告（非 AI 主题）。*
|
||||
- 【60-69分】二手信息、一般性新闻、小道消息。
|
||||
*例子：某媒体转发 Google 发布的推文（非首发）；未经验证的传言。*
|
||||
- 【<60分】低价值/局部内容：纯情绪宣泄、无营养的评价、广告、日常闲聊、KOL 个人生活动态、硬广软文、无营养的二手评价。
|
||||
*例子：“Nano Banana 2 太牛了！”（无具体测试数据）；“Anthropic 真硬气”（纯情绪）；“快来买我的课”。*
|
||||
|
||||
## 输出要求
|
||||
必须返回纯 JSON 对象，顶层包含 `items` 数组字段，数组中每个对象包含：
|
||||
- `link`: 原文链接（必须保留原样）
|
||||
- `score`: 整数评分，JSON 数字类型（直接写 `95`，不要写成字符串 `"95"`），严格按照上述标准，宁缺毋滥
|
||||
- `tags`: 字符串数组，数量 1-3 个，每个标签 2-12 个字符。**必须是新闻中具体的关键词**（产品名/模型名/技术特性/关键人物/核心数据），让人一眼能识别"这条新闻具体是关于什么"。**禁止空泛的分类标签**（如 "大模型"、"开源"、"教程"、"AI"、"模型"、"重磅"、"新闻"、"技术"）。
|
||||
- ✅ 好示例：`["Deepseek V4","缓存高","推理快3倍"]`、`["Rodin Gen-2.5","千万面数","3D生成"]`、`["GPT-5","多模态","原生交互"]`、`["Anthropic","拒绝DoD合同"]`
|
||||
- ❌ 坏示例：`["大模型","开源"]`、`["AI","教程"]`、`["模型","重磅","新闻"]`
|
||||
- `summary`: 一句话客观摘要（提取核心事实，去掉主观情绪，50字内）
|
||||
|
||||
## 输出格式（严格只输出 JSON 对象，不要 markdown 标记，不要其他额外标记，以 "{"开始，以"}"结尾）：
|
||||
|
||||
{
|
||||
"items": [
|
||||
{
|
||||
"link": "https://example.com/article1",
|
||||
"score": 95,
|
||||
"tags": ["GPT-5", "多模态", "原生交互"],
|
||||
"summary": "OpenAI正式发布GPT-5，支持原生多模态实时交互。"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
## 重要提示
|
||||
|
||||
1. items 数组长度必须与输入相同
|
||||
2. link 字段必须与输入一一对应，用于关联原始数据
|
||||
3. 只返回 JSON 对象，不要添加任何额外说明文字
|
||||
4. 标签/数组之间用英文逗号 `,` 分隔，不要使用中文全角逗号 `，`
|
||||
5. 字符串内的**英文双引号** `"` 必须用反斜杠转义为 `\"`；**中文引号** `""` `『』` `「」` 无需转义，保留原样
|
||||
6. 转义示例：若 summary 中需引用英文 he said "hello"，JSON 应写作 `"summary": "he said \"hello\""`
|
||||
|
||||
|
||||
## 输入数据
|
||||
|
||||
以下是一个 JSON 数组，包含抓取到的社交媒体和博客内容：
|
||||
|
||||
每个对象包含以下字段：
|
||||
- `link`: 文章链接（唯一标识，用于关联）
|
||||
- `title`: 文章标题
|
||||
- `source`: 文章来源
|
||||
- `published`: 发布时间
|
||||
- `content`: 文章正文内容（已截断）
|
||||
|
||||
```json
|
||||
{entries_json}
|
||||
```
|
||||
@@ -0,0 +1,148 @@
|
||||
你是资深 AI 开源情报分析师与技术编辑。
|
||||
任务：从输入的 GitHub Trending 候选项目中，筛选 **1-{max_items} 个** 最值得关注的 AI 相关项目，并输出一份“高信息密度、低营销感”的每日趋势简报。
|
||||
|
||||
目标读者：
|
||||
- AI 开发者
|
||||
- 独立开发者 / SaaS 创业者
|
||||
- AI Infra / Agent 工程师
|
||||
- 关注前沿技术方向的技术管理者
|
||||
|
||||
要求：
|
||||
- 优先输出“真正有技术价值或产业信号”的项目
|
||||
- 避免泛 AI、蹭热点、低质量包装仓库
|
||||
- 输出要像“技术情报摘要”，而不是营销文案
|
||||
- 保持专业、克制、信息密度高
|
||||
|
||||
## 选择规则
|
||||
|
||||
- 优先信号:`stars_today` 高 + `topics` 含 AI 标签(agent/llm/rag/inference/training 等) + readme 描述明确，有实际工程价值，与当前 AI 趋势一致
|
||||
- 跳过:`archived=true`(若漏过)、纯 awesome-list、个人 dotfiles
|
||||
|
||||
### 关注领域(正面列表)
|
||||
- **AI Agent**:智能体架构、工具链、多智能体、自主规划、Agent 框架
|
||||
- **AI 模型**:训练、推理、微调、量化部署、模型服务、语音/多模态/视觉模型
|
||||
- **AI 基础设施**:GPU 调度、芯片硬件、数据中心、推理优化、分布式训练、向量数据库、RAG 框架
|
||||
- **大厂/前沿动态**:Apple、Google、Meta、OpenAI、Anthropic、Microsoft、xAI 等公司的官方动作与战略
|
||||
- **AI 集成的开发者工具**:API 网关、自动化脚本、低代码平台等明确与 AI 协同的工具
|
||||
- **创新性开源产品**:日增长显著且有清晰用户价值
|
||||
|
||||
### 排除(负面列表)
|
||||
- 与AI无关的嵌入式开发(Arduino、ESP32、树莓派、单片机)
|
||||
- 底层系统编程(内存分配器、编译器、链接器,与 AI 工作负载无关时)
|
||||
- 通用开发工具(命名规范、代码风格、纯前端模板、UI 组件库、管理后台模板、静态网站主题)
|
||||
- 配置文件集合(Dotfiles、配置模板)
|
||||
- 与 AI/科技无关的内容(电子书、资源搬运、刷榜项目)
|
||||
- 纯娱乐/高风险误用(deepfake 等无明确基础设施价值)
|
||||
|
||||
|
||||
## 写作要求
|
||||
|
||||
### 风格
|
||||
要求：
|
||||
- 技术媒体风格
|
||||
- 客观
|
||||
- 克制
|
||||
- 高信息密度
|
||||
- 少废话
|
||||
|
||||
禁止：
|
||||
- “炸裂”
|
||||
- “颠覆”
|
||||
- “革命性”
|
||||
- “现象级”
|
||||
- “最强”
|
||||
- “神级”
|
||||
- “吊打”
|
||||
|
||||
## 项目定位
|
||||
必须回答：
|
||||
“它解决什么问题？”
|
||||
|
||||
格式：
|
||||
- 目标用户
|
||||
- 核心能力
|
||||
- 与现有方案差异
|
||||
|
||||
避免：
|
||||
空泛描述。
|
||||
|
||||
错误示例：
|
||||
- “一个强大的 AI 平台”
|
||||
|
||||
正确示例：
|
||||
- “面向 AI Agent 开发者的工作流编排框架，用于管理多工具调用与状态持久化。”
|
||||
|
||||
---
|
||||
|
||||
## 核心功能
|
||||
要求：
|
||||
- 尽量具体
|
||||
- 偏工程能力
|
||||
- 不重复 README 标题
|
||||
- 最多 4 条
|
||||
- 少写废话
|
||||
|
||||
|
||||
## 技术亮点
|
||||
仅在“确实存在明显技术点”时输出。
|
||||
|
||||
例如：
|
||||
- 基于 Rust 实现高性能推理
|
||||
- 使用 KV Cache 优化吞吐
|
||||
- 支持 OpenAI-Compatible API
|
||||
- 基于 WASM 的本地运行
|
||||
- GPU 调度优化
|
||||
|
||||
如果没有明显亮点：
|
||||
删除整行。
|
||||
|
||||
|
||||
## 五、输出格式（严格遵守）
|
||||
|
||||
|
||||
```markdown
|
||||
## ⭐ GitHub 趋势
|
||||
|
||||
**📊 类别速览**（仅当入选 ≥2 项时输出）
|
||||
|
||||
| 项目 | 类别 | Stars |
|
||||
|------|------|------|
|
||||
| repo | AI Agent | 12.4k |
|
||||
| repo | 推理/模型 | 8.1k |
|
||||
|
||||
---
|
||||
|
||||
### 1. owner/repo ⭐ 今日 +1234
|
||||
|
||||
**语言/许可：** Python / Apache-2.0
|
||||
**总 Stars：** 18.2k
|
||||
**仓库：** [GitHub](url)
|
||||
|
||||
**项目定位：**
|
||||
一句话说明“解决什么问题”。
|
||||
|
||||
**核心功能：**
|
||||
- 功能点
|
||||
- 功能点
|
||||
- 功能点
|
||||
|
||||
**技术亮点：**
|
||||
一句技术实现/架构优势。
|
||||
|
||||
---
|
||||
|
||||
### 2. owner/repo ⭐ 今日 +{{stars_today}}
|
||||
...(同上模板)
|
||||
|
||||
```
|
||||
|
||||
若候选中没有任何符合关注领域的项目,直接输出 `## ⭐ GitHub 趋势\n\n- 今日无显著 AI 相关趋势`,不要硬编。
|
||||
|
||||
|
||||
## 候选数据
|
||||
|
||||
JSON 数组,每项字段:`url` / `full_name` / `description` / `language` / `stars_today` / `stars_total` / `topics` / `license` / `pushed_at` / `readme_excerpt`
|
||||
|
||||
```json
|
||||
{repos_json}
|
||||
```
|
||||
@@ -0,0 +1,131 @@
|
||||
你是 Hacker News 技术早报编辑。
|
||||
|
||||
任务：
|
||||
对输入的 enriched stories进行 提炼：
|
||||
- 原文核心信息
|
||||
- Hacker News 社区真正讨论的焦点
|
||||
- 支持与质疑的主要理由
|
||||
- 有价值的工程经验/历史背景/现实约束
|
||||
|
||||
|
||||
## 内容要求（每条 story）
|
||||
|
||||
### 1. 提炼原文核心
|
||||
|
||||
基于 `link_content` 输出：
|
||||
|
||||
- 背景 / 作者意图
|
||||
- 关键要点
|
||||
- 实际结论 / 限制 / 影响
|
||||
|
||||
要求：
|
||||
- 优先保留技术事实、设计取舍、数据、限制条件
|
||||
- 不重复标题
|
||||
- 不写泛泛而谈的行业趋势
|
||||
|
||||
若是 Show HN / Ask HN：
|
||||
- “背景”改为“作者想做什么”
|
||||
- 重点总结：
|
||||
- 解决的问题
|
||||
- 技术实现
|
||||
- 产品设计
|
||||
- 用户反馈焦点
|
||||
|
||||
---
|
||||
|
||||
### 2. 提炼 HN 评论区观点（重点）
|
||||
|
||||
`top_comments` 是树状结构，包括顶层评论 `l1` ,和回复`replies`
|
||||
|
||||
`replies` 通常用于：支持/反驳/补充背景/提供经验
|
||||
|
||||
你必须利用这种父子关系判断：
|
||||
|
||||
* 哪些观点得到支持
|
||||
* 哪些观点被明显反驳
|
||||
* 哪些只是个别意见
|
||||
|
||||
不要逐条复述评论。
|
||||
|
||||
而是聚类提炼为：
|
||||
|
||||
* 共识观点
|
||||
* 工程经验
|
||||
* 历史背景
|
||||
* 商业现实
|
||||
* 风险/限制
|
||||
* 反对意见
|
||||
|
||||
|
||||
### 3. 输出风格
|
||||
|
||||
要求：
|
||||
|
||||
* 客观、克制、高信息密度
|
||||
* 更像技术编辑，不像 AI 总结器
|
||||
* 允许保留不确定性
|
||||
* 优先具体事实与具体争议
|
||||
|
||||
禁止：
|
||||
|
||||
* 营销词汇：
|
||||
|
||||
* 震撼
|
||||
* 炸裂
|
||||
* 革命性
|
||||
* 颠覆
|
||||
* 现象级
|
||||
* AI 套话：
|
||||
|
||||
* “引发广泛讨论”
|
||||
* “社区观点不一”
|
||||
* “值得关注的是”
|
||||
* “体现了某种趋势”
|
||||
|
||||
|
||||
## 输出格式（严格 Markdown）
|
||||
|
||||
```markdown
|
||||
## 🟧 Hacker News 热议
|
||||
|
||||
### {{title}}
|
||||
|
||||
{{points}} pts · {{comments}} comments · [site](site url)
|
||||
|
||||
**📌 内容总结**
|
||||
|
||||
- {{背景/作者意图}}
|
||||
- HN 关注点:
|
||||
- 要点 1
|
||||
- 要点 2
|
||||
- 要点 3（可选）
|
||||
|
||||
**💬 讨论总结**
|
||||
|
||||
- ...
|
||||
- ...
|
||||
|
||||
🔗 [原文]({{url}}) · [HN 讨论页]({{comments_url}})
|
||||
|
||||
### {{title2}}
|
||||
|
||||
...
|
||||
|
||||
```
|
||||
|
||||
规则：
|
||||
|
||||
* 如果没有明显反对意见，则删除「反对 / 质疑」
|
||||
* 每条控制信息密度，不写长段落
|
||||
* story 之间空一行
|
||||
|
||||
## 输入数据
|
||||
|
||||
JSON 数组,每项 story 字段:
|
||||
- `id` / `title` / `url` / `site` / `points` / `comments` / `comments_url`
|
||||
- `link_content`:原文 markdown
|
||||
- `top_comments`
|
||||
|
||||
```json
|
||||
{stories_json}
|
||||
```
|
||||
@@ -0,0 +1,38 @@
|
||||
你是 Hacker News AI 选题编辑。
|
||||
|
||||
任务：
|
||||
从输入的 HN 首页 stories 中，挑选最值得关注的 AI / 开发者基础设施相关内容，返回 **{k} 个以内** 的 story id。
|
||||
|
||||
## 优先关注
|
||||
- AI Agent / 多智能体 / AI 工作流
|
||||
- AI 模型（训练、推理、微调、多模态、语音）
|
||||
- AI Infra（GPU、推理优化、RAG、向量数据库、数据中心）
|
||||
- AI 开发工具（Copilot、自动化、AI IDE、API、低代码）
|
||||
- OpenAI / Anthropic / Google / Meta / Microsoft / xAI / Apple 等前沿动态
|
||||
|
||||
## 排除
|
||||
- 嵌入式 / Arduino / ESP32 / 树莓派
|
||||
- 与 AI 无关的底层系统话题（编译器、内存、链接器等）
|
||||
- 普通编程技巧、代码风格、命名规范
|
||||
- 泛科技或非科技内容
|
||||
|
||||
## 规则
|
||||
- 仅根据输入字段判断
|
||||
- 不确定是否与 AI 强相关时，宁可漏选
|
||||
- 候选不足 {k} 个时，只返回真正符合的
|
||||
- 返回的 id 必须是输入中的原始字符串
|
||||
|
||||
## 输出格式
|
||||
**只输出一个 JSON 数组,数组元素为 story id 字符串**:
|
||||
- 有匹配:`["12345", "67890"]`
|
||||
- 无匹配:`[]`
|
||||
|
||||
严禁输出任何解释性文字、代码块包装、自然语言句子或键值对。
|
||||
|
||||
## 候选数据
|
||||
|
||||
JSON 数组,每项字段:`id`(字符串)/ `title` / `site` / `points` / `comments`
|
||||
|
||||
```json
|
||||
{candidates_json}
|
||||
```
|
||||
@@ -0,0 +1,17 @@
|
||||
[project]
|
||||
name = "daily-news"
|
||||
version = "0.1.0"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"aiohttp>=3.9.0",
|
||||
"beautifulsoup4>=4.12.0",
|
||||
"croniter>=6.0.0",
|
||||
"feedparser>=6.0.0",
|
||||
"markdownify>=0.11.0",
|
||||
"pytest>=7.0.0",
|
||||
"pytest-asyncio>=0.21.0",
|
||||
"pytest-mock>=3.10.0",
|
||||
"python-dotenv>=1.0.0",
|
||||
"pyyaml>=6.0",
|
||||
"requests>=2.34.2",
|
||||
]
|
||||
@@ -0,0 +1,9 @@
|
||||
feedparser>=6.0.0
|
||||
aiohttp>=3.9.0
|
||||
markdownify>=0.11.0
|
||||
croniter>=6.0.0
|
||||
pyyaml>=6.0
|
||||
pytest>=7.0.0
|
||||
pytest-asyncio>=0.21.0
|
||||
pytest-mock>=3.10.0
|
||||
python-dotenv>=1.0.0
|
||||
@@ -0,0 +1,154 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1200 400" width="1200" height="400">
|
||||
<defs>
|
||||
<!-- 浅色渐变背景 -->
|
||||
<linearGradient id="bgGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" style="stop-color:#f8f9fa;stop-opacity:1" />
|
||||
<stop offset="100%" style="stop-color:#e8eaed;stop-opacity:1" />
|
||||
</linearGradient>
|
||||
|
||||
<!-- Google 色系 -->
|
||||
<linearGradient id="blueGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" style="stop-color:#4285F4;stop-opacity:1" />
|
||||
<stop offset="100%" style="stop-color:#1a73e8;stop-opacity:1" />
|
||||
</linearGradient>
|
||||
|
||||
<linearGradient id="redGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" style="stop-color:#EA4335;stop-opacity:1" />
|
||||
<stop offset="100%" style="stop-color:#d93025;stop-opacity:1" />
|
||||
</linearGradient>
|
||||
|
||||
<linearGradient id="yellowGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" style="stop-color:#FBBC05;stop-opacity:1" />
|
||||
<stop offset="100%" style="stop-color:#f9a825;stop-opacity:1" />
|
||||
</linearGradient>
|
||||
|
||||
<linearGradient id="greenGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" style="stop-color:#34A853;stop-opacity:1" />
|
||||
<stop offset="100%" style="stop-color:#1e8e3e;stop-opacity:1" />
|
||||
</linearGradient>
|
||||
|
||||
<!-- 柔和发光效果 -->
|
||||
<filter id="softShadow" x="-20%" y="-20%" width="140%" height="140%">
|
||||
<feDropShadow dx="0" dy="2" stdDeviation="4" flood-color="#000" flood-opacity="0.1"/>
|
||||
</filter>
|
||||
|
||||
<filter id="glow" x="-50%" y="-50%" width="200%" height="200%">
|
||||
<feGaussianBlur stdDeviation="2" result="coloredBlur"/>
|
||||
<feMerge>
|
||||
<feMergeNode in="coloredBlur"/>
|
||||
<feMergeNode in="SourceGraphic"/>
|
||||
</feMerge>
|
||||
</filter>
|
||||
</defs>
|
||||
|
||||
<!-- 背景 -->
|
||||
<rect width="1200" height="400" fill="url(#bgGrad)"/>
|
||||
|
||||
<!-- 背景装饰圆点 -->
|
||||
<circle cx="100" cy="80" r="60" fill="#4285F4" opacity="0.08"/>
|
||||
<circle cx="1100" cy="100" r="80" fill="#EA4335" opacity="0.06"/>
|
||||
<circle cx="150" cy="350" r="50" fill="#34A853" opacity="0.08"/>
|
||||
<circle cx="1050" cy="320" r="70" fill="#FBBC05" opacity="0.08"/>
|
||||
<circle cx="600" cy="50" r="40" fill="#4285F4" opacity="0.05"/>
|
||||
|
||||
<!-- 网格线 -->
|
||||
<g stroke="#dadce0" stroke-width="0.5" opacity="0.5">
|
||||
<line x1="0" y1="100" x2="1200" y2="100"/>
|
||||
<line x1="0" y1="200" x2="1200" y2="200"/>
|
||||
<line x1="0" y1="300" x2="1200" y2="300"/>
|
||||
<line x1="300" y1="0" x2="300" y2="400"/>
|
||||
<line x1="600" y1="0" x2="600" y2="400"/>
|
||||
<line x1="900" y1="0" x2="900" y2="400"/>
|
||||
</g>
|
||||
|
||||
<!-- Google 色系装饰：RSS 聚合 (左侧) -->
|
||||
<g transform="translate(120, 200)">
|
||||
<circle cx="0" cy="0" r="25" fill="none" stroke="#4285F4" stroke-width="2" opacity="0.3"/>
|
||||
<circle cx="0" cy="0" r="18" fill="none" stroke="#4285F4" stroke-width="2" opacity="0.5"/>
|
||||
<circle cx="0" cy="0" r="10" fill="none" stroke="#4285F4" stroke-width="2.5"/>
|
||||
<circle cx="0" cy="0" r="4" fill="#4285F4"/>
|
||||
<!-- 信号线 -->
|
||||
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AI Daily
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<title>All RSS Subscriptions for bestblogs.dev</title>
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<outline text="42章经" title="42章经" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/f6694726ced4ba3d7c7cd65c6edf2160c5978387.xml" />
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<outline text="AI科技大本营" title="AI科技大本营" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/dfd3b5e742e32d8032a445832373191957202bf3.xml" />
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<outline text="AI科技评论" title="AI科技评论" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/789e5fefb9cc2646ba7b680cb7a88378a34eb7a4.xml" />
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<outline text="Bay的设计奥德赛" title="Bay的设计奥德赛" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/7515eedf3f994a6b23ebda2313a4b6bc7532f536.xml" />
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|
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<outline text="CSDN" title="CSDN" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/b0b7f2852aecdcc5a0eb08d33afc1c08b855d98b.xml" />
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
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|
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<outline text="Marcus on AI" title="Marcus on AI" type="rss" xmlUrl="https://garymarcus.substack.com/feed" />
|
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<outline text="Martin Fowler" title="Martin Fowler" type="rss" xmlUrl="https://martinfowler.com/feed.atom" />
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
<outline text="Web3天空之城" title="Web3天空之城" type="rss" xmlUrl="https://wechat2rss.bestblogs.dev/feed/6aac3cc6d4c6df6fb3f77dea4ea4ba4a2053d6e7.xml" />
|
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|
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|
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|
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|
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|
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|
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<outline text="Greg Brockman(@gdb)" title="Greg Brockman(@gdb)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/af19d054e26a49129f23abfa82d9e268" />
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||||
<outline text="Groq Inc(@GroqInc)" title="Groq Inc(@GroqInc)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/771b32075fe54a83bdb6966de9647b4f" />
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||||
<outline text="Guillermo Rauch(@rauchg)" title="Guillermo Rauch(@rauchg)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/e8750659b8154dbfa0489f451e044af1" />
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<outline text="Hailuo AI (MiniMax)(@Hailuo_AI)" title="Hailuo AI (MiniMax)(@Hailuo_AI)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/e65b5e59fcb544918c1ba17f5758f0f8" />
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||||
<outline text="Hugging Face(@huggingface)" title="Hugging Face(@huggingface)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/fc16750ce50741f1b1f05ea1fb29436f" />
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<outline text="Hunyuan(@TXhunyuan)" title="Hunyuan(@TXhunyuan)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/6e8e7b42cb434818810f87bcf77d86fb" />
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<outline text="Ian Goodfellow(@goodfellow_ian)" title="Ian Goodfellow(@goodfellow_ian)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/57831559d22440debbfb2f2528e4ba84" />
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||||
<outline text="James Clear(@JamesClear)" title="James Clear(@JamesClear)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/b042dec6a5964d3181cb5df9289e344f" />
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<outline text="Jan Leike(@janleike)" title="Jan Leike(@janleike)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/dceb5cd131b34c72a8376cba8ea5d864" />
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<outline text="Jerry Liu(@jerryjliu0)" title="Jerry Liu(@jerryjliu0)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/b3d904c0d7c446558ef3a1e7f2eb362b" />
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<outline text="Jim Fan(@DrJimFan)" title="Jim Fan(@DrJimFan)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/c6cfe7c0d6b74849997073233fdea840" />
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<outline text="Jina AI(@JinaAI_)" title="Jina AI(@JinaAI_)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/f510f6e7eecf456ca7e2895a46752888" />
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<outline text="Julien Chaumond(@julien_c)" title="Julien Chaumond(@julien_c)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/44d9fa384087448a94d3c8595f8d535e" />
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<outline text="Junyang Lin(@JustinLin610)" title="Junyang Lin(@JustinLin610)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/082097117b4543e9a741cd2580f936d3" />
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<outline text="Justin Welsh(@thejustinwelsh)" title="Justin Welsh(@thejustinwelsh)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/58894bf2934a426ca833c682da2bc810" />
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||||
<outline text="Justine Moore(@venturetwins)" title="Justine Moore(@venturetwins)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/c61046471f174d86bc0eb76cb44a21c3" />
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<outline text="Kevin Weil 🇺🇸(@kevinweil)" title="Kevin Weil 🇺🇸(@kevinweil)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/3ca3c7698fd04611a0e7d14fae93c84c" />
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<outline text="LangChain(@LangChainAI)" title="LangChain(@LangChainAI)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/862fee50a745423c87e2633b274caf1d" />
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<outline text="Latent.Space(@latentspacepod)" title="Latent.Space(@latentspacepod)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/a7be8b61a1264ea7984abfaea3eff686" />
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<outline text="Lee Robinson(@leerob)" title="Lee Robinson(@leerob)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/dc2426bc8348495189b45451d1707a1c" />
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<outline text="Lenny Rachitsky(@lennysan)" title="Lenny Rachitsky(@lennysan)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/77d5ce4736854b0ebae603e4b54d3095" />
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<outline text="Lex Fridman(@lexfridman)" title="Lex Fridman(@lexfridman)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/adf65931519340f795e2336910b4cd15" />
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<outline text="Lilian Weng(@lilianweng)" title="Lilian Weng(@lilianweng)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/a8f7e2238039461cbc8bf55f5f194498" />
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<outline text="LlamaIndex 🦙(@llama_index)" title="LlamaIndex 🦙(@llama_index)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/67e259bd5be544ce84bbc867eace54c2" />
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<outline text="Logan Kilpatrick(@OfficialLoganK)" title="Logan Kilpatrick(@OfficialLoganK)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/4f63d960de644aeebd0aa97e4994dafe" />
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<outline text="Lovable(@lovable_dev)" title="Lovable(@lovable_dev)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/639cd13d44284e10ac89fbd1c5399767" />
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<outline text="LovartAI(@lovart_ai)" title="LovartAI(@lovart_ai)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/db648e4d4eae4822aa0d34f0faef7ad2" />
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<outline text="Luyu Zhang(@goocarlos)" title="Luyu Zhang(@goocarlos)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/bc52f83045964e3cb0ed93f495d58c36" />
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<outline text="ManusAI(@ManusAI_HQ)" title="ManusAI(@ManusAI_HQ)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/320181c4651a41a08015946b55f704ab" />
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<outline text="Marc Andreessen 🇺🇸(@pmarca)" title="Marc Andreessen 🇺🇸(@pmarca)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/63316630d94543f5a6480f230f483008" />
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<outline text="Mike Krieger(@mikeyk)" title="Mike Krieger(@mikeyk)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/78d7b99318b04b309b04000f7e24da29" />
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<outline text="Milvus(@milvusio)" title="Milvus(@milvusio)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/424e67b19eed4500b7a440976bbd2ade" />
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<outline text="Mustafa Suleyman(@mustafasuleyman)" title="Mustafa Suleyman(@mustafasuleyman)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/394acfaff8c44e09936f5bc0b8504f2c" />
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<outline text="Nano Banana Pro(@NanoBanana)" title="Nano Banana Pro(@NanoBanana)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/02431ffb78124808a0e7abb5f983084a" />
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<outline text="Naval(@naval)" title="Naval(@naval)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/b43bc203409e4c5a9c3ae86fe1ac00c9" />
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<outline text="Nick St. Pierre(@nickfloats)" title="Nick St. Pierre(@nickfloats)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/6ebdf0d91eef4c149acd0ef110635866" />
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<outline text="NotebookLM(@NotebookLM)" title="NotebookLM(@NotebookLM)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/221a88341acb475db221a12fed8208d0" />
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<outline text="Patrick Loeber(@patloeber)" title="Patrick Loeber(@patloeber)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/c65c68f3713747bba863f92d6b5e996f" />
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<outline text="Paul Couvert(@itsPaulAi)" title="Paul Couvert(@itsPaulAi)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/b9912ac9a29042cf8c834419dc44cb1f" />
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<outline text="Perplexity(@perplexity_ai)" title="Perplexity(@perplexity_ai)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/fdd601ea751949e7bec9e4cdad7c8e6c" />
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<outline text="Philipp Schmid(@_philschmid)" title="Philipp Schmid(@_philschmid)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/ce352bbf72e44033985bc756db2ee0e2" />
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<outline text="Varun Mohan(@_mohansolo)" title="Varun Mohan(@_mohansolo)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/7794c4268a504019a94af1778857a703" />
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|
||||
<outline text="xAI(@xai)" title="xAI(@xai)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/3953aa71e87a422eb9d7bf6ff1c7c43e" />
|
||||
<outline text="yan5xu(@yan5xu)" title="yan5xu(@yan5xu)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/8008824b7c5d4816a4d61f9c24af82b8" />
|
||||
<outline text="傅盛(@FuSheng_0306)" title="傅盛(@FuSheng_0306)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/32e92127f6b24822b5d7693251162ffd" />
|
||||
<outline text="向阳乔木(@vista8)" title="向阳乔木(@vista8)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/9de19c78f7454ad08c956c1a00d237fe" />
|
||||
<outline text="宝玉(@dotey)" title="宝玉(@dotey)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/97f1484ae48c430fbbf3438099743674" />
|
||||
<outline text="小互(@imxiaohu)" title="小互(@imxiaohu)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/74e542992cf7441390c708f5601071d4" />
|
||||
<outline text="数字生命卡兹克(@Khazix0918)" title="数字生命卡兹克(@Khazix0918)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/7a9955909da04c628fd0ee21203dcab5" />
|
||||
<outline text="李继刚(@lijigang_com)" title="李继刚(@lijigang_com)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/ca2fa444b6ea4b8b974fe148056e497a" />
|
||||
<outline text="歸藏(guizang.ai)(@op7418)" title="歸藏(guizang.ai)(@op7418)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/831fac36aa0a49a9af79f35dc1c9b5d9" />
|
||||
<outline text="马东锡 NLP(@dongxi_nlp)" title="马东锡 NLP(@dongxi_nlp)" type="rss" xmlUrl="https://api.xgo.ing/rss/user/94f06e2ab51544ef8c3fef471d90b71b" />
|
||||
</body>
|
||||
</opml>
|
||||
@@ -0,0 +1,113 @@
|
||||
#!/usr/bin/env python3
|
||||
"""根据 config.json 渲染 systemd 单元模板。
|
||||
|
||||
被 scripts/install.sh 调用。本身不直接读环境，需要的运行时参数（user/group/uv 路径）
|
||||
通过 CLI 注入，便于 install.sh 处理 sudo 场景。
|
||||
"""
|
||||
import argparse
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def cron_to_oncalendar(expr: str) -> str:
|
||||
"""5 段 cron 表达式 → systemd OnCalendar 字符串。
|
||||
|
||||
本项目 push_cron 只用到 minute/hour，其他位必须为 `*`。
|
||||
遇到不支持的语法直接报错，避免静默生成错误的 timer。
|
||||
"""
|
||||
parts = expr.split()
|
||||
if len(parts) != 5:
|
||||
raise ValueError(f"无效 cron 表达式（必须 5 段）: {expr}")
|
||||
minute, hour, dom, mon, dow = parts
|
||||
for label, val in [("day-of-month", dom), ("month", mon), ("day-of-week", dow)]:
|
||||
if val != "*":
|
||||
raise ValueError(f"暂不支持非 * 的 {label} 字段: {expr}")
|
||||
try:
|
||||
m, h = int(minute), int(hour)
|
||||
except ValueError as e:
|
||||
raise ValueError(f"minute/hour 必须是整数: {expr}") from e
|
||||
if not (0 <= m <= 59 and 0 <= h <= 23):
|
||||
raise ValueError(f"minute/hour 越界: {expr}")
|
||||
return f"*-*-* {h:02d}:{m:02d}:00"
|
||||
|
||||
|
||||
def render(template_path: Path, variables: dict) -> str:
|
||||
text = template_path.read_text(encoding="utf-8")
|
||||
for key, val in variables.items():
|
||||
text = text.replace(f"{{{{{key}}}}}", str(val))
|
||||
return text
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--project-dir", required=True)
|
||||
parser.add_argument("--user", required=True)
|
||||
parser.add_argument("--group", required=True)
|
||||
parser.add_argument("--uv-bin", required=True)
|
||||
parser.add_argument("--output-dir", required=True)
|
||||
args = parser.parse_args()
|
||||
|
||||
project_dir = Path(args.project_dir).resolve()
|
||||
output_dir = Path(args.output_dir).resolve()
|
||||
template_dir = project_dir / "systemd"
|
||||
|
||||
config_path = project_dir / "config.json"
|
||||
with open(config_path, "r", encoding="utf-8") as f:
|
||||
config = json.load(f)
|
||||
|
||||
fetch_min = config["schedule"]["fetch_interval_minutes"]
|
||||
if not isinstance(fetch_min, int) or fetch_min <= 0:
|
||||
raise ValueError(f"fetch_interval_minutes 必须是正整数: {fetch_min}")
|
||||
|
||||
push_crons = config["schedule"]["push_cron"]
|
||||
if not push_crons:
|
||||
raise ValueError("config.schedule.push_cron 不能为空")
|
||||
push_lines = "\n".join(
|
||||
f"OnCalendar={cron_to_oncalendar(c)}" for c in push_crons
|
||||
)
|
||||
|
||||
log_retention = config.get("log", {}).get("retention_days", 7)
|
||||
if not isinstance(log_retention, int) or log_retention <= 0:
|
||||
raise ValueError(f"log.retention_days 必须是正整数: {log_retention}")
|
||||
|
||||
common = {
|
||||
"PROJECT_DIR": str(project_dir),
|
||||
"USER": args.user,
|
||||
"GROUP": args.group,
|
||||
"UV_BIN": args.uv_bin,
|
||||
}
|
||||
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
renderings = [
|
||||
("dnews-fetch.service.tmpl", "dnews-fetch.service", {}),
|
||||
("dnews-fetch.timer.tmpl", "dnews-fetch.timer",
|
||||
{"FETCH_INTERVAL_MIN": fetch_min}),
|
||||
("dnews-push.service.tmpl", "dnews-push.service", {}),
|
||||
("dnews-push.timer.tmpl", "dnews-push.timer",
|
||||
{"PUSH_ONCALENDAR_LINES": push_lines}),
|
||||
("journald-dnews.conf.tmpl", "journald-dnews.conf",
|
||||
{"LOG_RETENTION_DAYS": log_retention}),
|
||||
]
|
||||
|
||||
print(f"📂 输出目录: {output_dir}")
|
||||
for tpl_name, out_name, extra in renderings:
|
||||
tpl_path = template_dir / tpl_name
|
||||
if not tpl_path.exists():
|
||||
print(f"❌ 模板不存在: {tpl_path}", file=sys.stderr)
|
||||
return 2
|
||||
rendered = render(tpl_path, {**common, **extra})
|
||||
(output_dir / out_name).write_text(rendered, encoding="utf-8")
|
||||
print(f" ✓ {out_name}")
|
||||
|
||||
print(f"\n生成参数:")
|
||||
print(f" fetch 间隔 → 每 {fetch_min} 分钟（间隔触发，从上次完成开始计时）")
|
||||
for c, line in zip(push_crons, push_lines.split("\n")):
|
||||
print(f" push '{c}' → {line}")
|
||||
print(f" 日志保留 → {log_retention} 天")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -0,0 +1,67 @@
|
||||
#!/usr/bin/env bash
|
||||
# daily-news - Daily News 系统服务管理包装脚本
|
||||
# 由 scripts/install.sh 自动生成；项目路径：{{PROJECT_DIR}}
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
TIMERS=(dnews-fetch.timer dnews-push.timer)
|
||||
SERVICES=(dnews-fetch.service dnews-push.service)
|
||||
PROJECT_DIR="{{PROJECT_DIR}}"
|
||||
|
||||
usage() {
|
||||
cat <<EOF
|
||||
用法: daily-news <command>
|
||||
|
||||
命令:
|
||||
start 启动 fetch 和 push timer
|
||||
stop 停止两个 timer
|
||||
restart 重启两个 timer（不会立即触发 service，仅重置调度）
|
||||
status [N] 查看 timer / service 状态 + 最近 N 行日志（默认 15）
|
||||
logs 实时跟随日志（Ctrl+C 退出）
|
||||
|
||||
其他操作：
|
||||
$PROJECT_DIR/scripts/install.sh 重新生成单元并安装（改 config.json 后用）
|
||||
$PROJECT_DIR/scripts/uninstall.sh 完全卸载（不删数据）
|
||||
EOF
|
||||
}
|
||||
|
||||
cmd="${1:-}"
|
||||
case "$cmd" in
|
||||
start)
|
||||
sudo systemctl start "${TIMERS[@]}"
|
||||
echo "✓ Daily News 已启动"
|
||||
;;
|
||||
stop)
|
||||
sudo systemctl stop "${TIMERS[@]}"
|
||||
echo "✓ Daily News 已停止"
|
||||
;;
|
||||
restart)
|
||||
sudo systemctl restart "${TIMERS[@]}"
|
||||
echo "✓ Daily News 已重启"
|
||||
;;
|
||||
status)
|
||||
lines="${2:-15}"
|
||||
echo "═══ Timer ═══"
|
||||
systemctl list-timers 'dnews-*' --no-pager || true
|
||||
echo ""
|
||||
echo "═══ Service 状态 ═══"
|
||||
systemctl status "${SERVICES[@]}" --no-pager --lines=0 || true
|
||||
echo ""
|
||||
echo "═══ 最近 $lines 行日志 ═══"
|
||||
journalctl --namespace=dnews -u dnews-fetch -u dnews-push -n "$lines" --no-pager
|
||||
echo ""
|
||||
echo "💡 实时跟随：daily-news logs"
|
||||
;;
|
||||
logs)
|
||||
journalctl --namespace=dnews -u dnews-fetch -u dnews-push -f
|
||||
;;
|
||||
-h|--help|help|"")
|
||||
usage
|
||||
;;
|
||||
*)
|
||||
echo "❌ 未知命令: $cmd" >&2
|
||||
echo ""
|
||||
usage
|
||||
exit 1
|
||||
;;
|
||||
esac
|
||||
@@ -0,0 +1,144 @@
|
||||
#!/usr/bin/env bash
|
||||
# Daily News - 系统服务一键安装
|
||||
# 用法：./scripts/install.sh
|
||||
# 不要用 sudo 直接调用本脚本；脚本会在需要时自行 sudo 提权。
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
PROJECT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
|
||||
|
||||
# ─── 用户检测 ────────────────────────────────────────────────
|
||||
if [[ $EUID -eq 0 ]]; then
|
||||
if [[ -z "${SUDO_USER:-}" ]]; then
|
||||
echo "❌ 请勿直接用 root 运行本脚本，请用普通用户（脚本按需自动提权）"
|
||||
exit 1
|
||||
fi
|
||||
RUN_USER="$SUDO_USER"
|
||||
else
|
||||
RUN_USER="$USER"
|
||||
fi
|
||||
RUN_GROUP="$(id -gn "$RUN_USER")"
|
||||
|
||||
# ─── uv 检测 ─────────────────────────────────────────────────
|
||||
UV_BIN="$(command -v uv || true)"
|
||||
if [[ -z "$UV_BIN" ]]; then
|
||||
echo "❌ 找不到 uv 命令，请先安装：https://docs.astral.sh/uv/"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# ─── systemd 检测 ────────────────────────────────────────────
|
||||
if ! command -v systemctl >/dev/null 2>&1; then
|
||||
echo "❌ 系统未检测到 systemctl（非 systemd 系统），本脚本仅支持 systemd Linux"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
cd "$PROJECT_DIR"
|
||||
|
||||
echo "🚀 Daily News - 系统服务安装"
|
||||
echo "────────────────────────────────────────"
|
||||
echo " 项目目录: $PROJECT_DIR"
|
||||
echo " 运行身份: $RUN_USER:$RUN_GROUP"
|
||||
echo " uv 路径: $UV_BIN"
|
||||
echo "────────────────────────────────────────"
|
||||
echo ""
|
||||
|
||||
# 提前提权一次，后续 sudo 命令直接复用凭据缓存
|
||||
echo "🔐 需要 sudo 权限来写入 /etc/systemd/system/"
|
||||
sudo -v
|
||||
echo ""
|
||||
|
||||
# ─── [1/6] 同步依赖 ──────────────────────────────────────────
|
||||
echo "📦 [1/6] 同步依赖 (uv sync)..."
|
||||
uv sync
|
||||
echo "✓ 依赖已就绪"
|
||||
echo ""
|
||||
|
||||
# ─── [2/6] 验证 .env ────────────────────────────────────────
|
||||
echo "🔐 [2/6] 验证 .env..."
|
||||
if [[ ! -f "$PROJECT_DIR/.env" ]]; then
|
||||
echo "❌ .env 不存在，请先复制 .env.example 并填入 API Key"
|
||||
exit 1
|
||||
fi
|
||||
echo "✓ .env 存在"
|
||||
echo ""
|
||||
|
||||
# ─── [3/6] LLM 健康检查 ─────────────────────────────────────
|
||||
echo "🔍 [3/6] 校验 LLM 接口（仅在此处校验，运行时不再校验）..."
|
||||
if ! uv run python -m src.main check; then
|
||||
echo ""
|
||||
echo "❌ LLM 校验失败，已中止安装"
|
||||
echo "请检查 config.json 中的 llm.baseUrl/model 以及 .env 中的 API Key"
|
||||
exit 1
|
||||
fi
|
||||
echo ""
|
||||
|
||||
# ─── [4/6] 生成单元文件 ─────────────────────────────────────
|
||||
echo "📝 [4/6] 渲染 systemd 单元模板..."
|
||||
STAGE_DIR="$(mktemp -d)"
|
||||
trap 'rm -rf "$STAGE_DIR"' EXIT
|
||||
|
||||
uv run python "$PROJECT_DIR/scripts/_gen_units.py" \
|
||||
--project-dir "$PROJECT_DIR" \
|
||||
--user "$RUN_USER" \
|
||||
--group "$RUN_GROUP" \
|
||||
--uv-bin "$UV_BIN" \
|
||||
--output-dir "$STAGE_DIR"
|
||||
|
||||
# 同时渲染 daily-news 包装脚本（/usr/local/bin/daily-news）
|
||||
sed "s|{{PROJECT_DIR}}|$PROJECT_DIR|g" \
|
||||
"$PROJECT_DIR/scripts/daily-news.tmpl" > "$STAGE_DIR/daily-news"
|
||||
echo " ✓ daily-news"
|
||||
echo ""
|
||||
|
||||
# ─── [5/6] 安装到 systemd ───────────────────────────────────
|
||||
echo "📥 [5/6] 安装到系统..."
|
||||
sudo install -m 644 "$STAGE_DIR/dnews-fetch.service" /etc/systemd/system/
|
||||
sudo install -m 644 "$STAGE_DIR/dnews-fetch.timer" /etc/systemd/system/
|
||||
sudo install -m 644 "$STAGE_DIR/dnews-push.service" /etc/systemd/system/
|
||||
sudo install -m 644 "$STAGE_DIR/dnews-push.timer" /etc/systemd/system/
|
||||
|
||||
# 日志保留策略（journald 命名空间 drop-in）
|
||||
sudo mkdir -p /etc/systemd/journald@dnews.conf.d
|
||||
sudo install -m 644 "$STAGE_DIR/journald-dnews.conf" \
|
||||
/etc/systemd/journald@dnews.conf.d/retention.conf
|
||||
|
||||
# daily-news 包装脚本到系统 PATH
|
||||
sudo install -m 755 "$STAGE_DIR/daily-news" /usr/local/bin/daily-news
|
||||
|
||||
sudo systemctl daemon-reload
|
||||
|
||||
# 命名空间 journald 实例首次会在 fetch/push 首次产出日志时自动拉起；
|
||||
# 若已存在（重装场景），重启以加载新保留策略。
|
||||
sudo systemctl restart systemd-journald@dnews.service 2>/dev/null || true
|
||||
|
||||
echo "✓ 单元文件 + daily-news 包装脚本已安装"
|
||||
echo ""
|
||||
|
||||
# ─── [6/6] 启用并启动 timer ─────────────────────────────────
|
||||
echo "🚦 [6/6] 启用并（重）启动 timer..."
|
||||
# 先 enable 注册开机自启
|
||||
sudo systemctl enable dnews-fetch.timer dnews-push.timer
|
||||
# 再 restart 强制按新单元文件重置内存中的 timer 状态
|
||||
# （enable --now 对已运行的 timer 是 no-op，无法应用新 OnCalendar/OnActiveSec 等改动）
|
||||
sudo systemctl restart dnews-fetch.timer dnews-push.timer
|
||||
echo ""
|
||||
|
||||
# ─── 完成 ───────────────────────────────────────────────────
|
||||
echo "✅ 安装完成！"
|
||||
echo ""
|
||||
echo "下次触发时间："
|
||||
systemctl list-timers 'dnews-*' --no-pager || true
|
||||
echo ""
|
||||
echo "常用命令（系统 PATH 中可直接调用）："
|
||||
echo " daily-news status 查看状态 + 最近日志"
|
||||
echo " daily-news logs 实时跟随日志"
|
||||
echo " daily-news stop 停止"
|
||||
echo " daily-news start 启动"
|
||||
echo " daily-news restart 重启 timer"
|
||||
echo ""
|
||||
echo "手动立即触发一次任务（不影响下次调度）："
|
||||
echo " sudo systemctl start dnews-fetch.service"
|
||||
echo " sudo systemctl start dnews-push.service"
|
||||
echo ""
|
||||
echo "卸载：$PROJECT_DIR/scripts/uninstall.sh"
|
||||
@@ -0,0 +1,26 @@
|
||||
#!/usr/bin/env bash
|
||||
# Daily News - 状态查看
|
||||
# 显示：timer 下次触发时间、service 上次结果、最近日志
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
LINES="${1:-15}"
|
||||
|
||||
echo "═══ Timer ═══"
|
||||
systemctl list-timers 'dnews-*' --no-pager || true
|
||||
echo ""
|
||||
|
||||
echo "═══ Service 状态 ═══"
|
||||
systemctl status dnews-fetch.service --no-pager --lines=0 || true
|
||||
echo "──────────────────────────────"
|
||||
systemctl status dnews-push.service --no-pager --lines=0 || true
|
||||
echo ""
|
||||
|
||||
echo "═══ 最近 $LINES 行日志 ═══"
|
||||
journalctl --namespace=dnews \
|
||||
-u dnews-fetch.service \
|
||||
-u dnews-push.service \
|
||||
-n "$LINES" \
|
||||
--no-pager
|
||||
echo ""
|
||||
echo "💡 实时跟随：journalctl --namespace=dnews -f"
|
||||
@@ -0,0 +1,35 @@
|
||||
#!/usr/bin/env bash
|
||||
# Daily News - 卸载系统服务（不删数据）
|
||||
set -euo pipefail
|
||||
|
||||
echo "🗑 Daily News - 卸载"
|
||||
echo ""
|
||||
|
||||
if ! command -v systemctl >/dev/null 2>&1; then
|
||||
echo "❌ 系统未检测到 systemctl"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "🛑 停止并禁用 timer..."
|
||||
sudo systemctl disable --now dnews-fetch.timer dnews-push.timer 2>/dev/null || true
|
||||
|
||||
echo "🧹 清理单元文件..."
|
||||
sudo rm -f /etc/systemd/system/dnews-fetch.service \
|
||||
/etc/systemd/system/dnews-fetch.timer \
|
||||
/etc/systemd/system/dnews-push.service \
|
||||
/etc/systemd/system/dnews-push.timer
|
||||
|
||||
echo "🧹 清理日志保留策略 drop-in..."
|
||||
sudo rm -f /etc/systemd/journald@dnews.conf.d/retention.conf
|
||||
sudo rmdir /etc/systemd/journald@dnews.conf.d 2>/dev/null || true
|
||||
|
||||
echo "🧹 清理 daily-news 包装脚本..."
|
||||
sudo rm -f /usr/local/bin/daily-news
|
||||
|
||||
sudo systemctl daemon-reload
|
||||
sudo systemctl stop systemd-journald@dnews.service 2>/dev/null || true
|
||||
|
||||
echo ""
|
||||
echo "✅ 已卸载（news-data/ 与项目代码未删除）"
|
||||
echo ""
|
||||
echo "如需清理历史日志：sudo journalctl --namespace=dnews --vacuum-time=1s"
|
||||
@@ -0,0 +1,115 @@
|
||||
"""配置加载和源管理"""
|
||||
import fnmatch
|
||||
import json
|
||||
import xml.etree.ElementTree as ET
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
from typing import Dict, List
|
||||
from urllib.parse import urlparse
|
||||
|
||||
|
||||
def _get_local_timezone() -> timezone:
|
||||
"""自动检测本地时区"""
|
||||
return datetime.now().astimezone().tzinfo
|
||||
|
||||
|
||||
def get_timezone(config: Dict = None) -> timezone:
|
||||
"""
|
||||
获取配置时区，用于推送消息展示本地化时间
|
||||
读取信息源统一使用 UTC 时间
|
||||
如果 config 中没有 timezone_hours，则自动检测本地时区
|
||||
"""
|
||||
if config is None:
|
||||
try:
|
||||
config = load_config()
|
||||
except Exception:
|
||||
return _get_local_timezone()
|
||||
|
||||
hours = config.get("schedule", {}).get("timezone_hours")
|
||||
if hours is None:
|
||||
return _get_local_timezone()
|
||||
|
||||
return timezone(timedelta(hours=hours))
|
||||
|
||||
|
||||
# 向后兼容的别名
|
||||
def get_cst(config: Dict = None) -> timezone:
|
||||
"""向后兼容，使用 get_timezone"""
|
||||
return get_timezone(config)
|
||||
|
||||
|
||||
def load_config(config_path: str = "config.json") -> Dict:
|
||||
"""加载配置文件"""
|
||||
path = Path(config_path)
|
||||
if not path.exists():
|
||||
raise FileNotFoundError(f"配置文件不存在: {config_path}")
|
||||
|
||||
with open(path, "r", encoding="utf-8") as f:
|
||||
return json.load(f)
|
||||
|
||||
|
||||
def parse_opml(opml_path: str) -> List[Dict]:
|
||||
"""解析OPML文件获取订阅源列表"""
|
||||
path = Path(opml_path)
|
||||
if not path.exists():
|
||||
return []
|
||||
|
||||
tree = ET.parse(path)
|
||||
root = tree.getroot()
|
||||
|
||||
feeds = []
|
||||
for outline in root.findall(".//outline[@type='rss']"):
|
||||
feeds.append({
|
||||
"title": outline.get("title", ""),
|
||||
"xmlUrl": outline.get("xmlUrl", ""),
|
||||
"category": outline.get("category", "未分类"),
|
||||
})
|
||||
|
||||
return feeds
|
||||
|
||||
|
||||
def merge_sources(sources_config: Dict) -> List[Dict]:
|
||||
"""合并base_opml + add - block，以xmlUrl为key去重"""
|
||||
# 1. 解析base OPML
|
||||
base = parse_opml(sources_config.get("base_opml", ""))
|
||||
|
||||
# 2. 添加自定义源
|
||||
add_list = sources_config.get("add", [])
|
||||
all_sources = base + add_list
|
||||
|
||||
# 3. 应用block (以xmlUrl匹配)
|
||||
block_list = sources_config.get("block", [])
|
||||
block_urls = {b.get("xmlUrl", "") for b in block_list}
|
||||
filtered = [s for s in all_sources if s.get("xmlUrl", "") not in block_urls]
|
||||
|
||||
# 4. 应用block_domains (域名屏蔽，支持通配符 *.substack.com)
|
||||
block_domains = sources_config.get("block_domains", [])
|
||||
if block_domains:
|
||||
def is_domain_blocked(url: str) -> bool:
|
||||
try:
|
||||
domain = urlparse(url).netloc.lower()
|
||||
for pattern in block_domains:
|
||||
# 转换通配符模式为匹配格式
|
||||
if pattern.startswith("*."):
|
||||
# *.substack.com 匹配 substack.com 和 addyo.substack.com
|
||||
suffix = pattern[2:] # substack.com
|
||||
if domain == suffix or domain.endswith("." + suffix):
|
||||
return True
|
||||
elif fnmatch.fnmatch(domain, pattern):
|
||||
return True
|
||||
return False
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
filtered = [s for s in filtered if not is_domain_blocked(s.get("xmlUrl", ""))]
|
||||
|
||||
# 5. 去重 (以xmlUrl为key)
|
||||
seen = set()
|
||||
result = []
|
||||
for s in filtered:
|
||||
url = s.get("xmlUrl", "")
|
||||
if url and url not in seen:
|
||||
seen.add(url)
|
||||
result.append(s)
|
||||
|
||||
return result
|
||||
@@ -0,0 +1,213 @@
|
||||
"""RSS抓取模块"""
|
||||
|
||||
import asyncio
|
||||
from datetime import datetime, timezone
|
||||
from typing import Dict, List, Optional
|
||||
|
||||
import aiohttp
|
||||
import feedparser
|
||||
import requests
|
||||
|
||||
# 默认超时配置（秒）
|
||||
DEFAULT_FEED_TIMEOUT = 5
|
||||
|
||||
# title 截断阈值：nitter 会把整条推文塞进 <title>，需要截断
|
||||
TITLE_MAX_CHARS = 200
|
||||
|
||||
# nitter / xcancel 实例：必须用白名单 UA + requests 客户端（aiohttp 的 TLS
|
||||
# 指纹过不了），详见 nitter-practice.md
|
||||
NITTER_HOSTS = (
|
||||
"xcancel.com",
|
||||
"nitter.net",
|
||||
"nuku.trabun.org",
|
||||
)
|
||||
NITTER_HEADERS = {
|
||||
"User-Agent": "Inoreader",
|
||||
"Accept": "application/rss+xml, application/atom+xml, application/xml;q=0.9",
|
||||
}
|
||||
# 公益实例，独立的低并发池 + 每次抓完 sleep，避免给上游施压
|
||||
NITTER_MAX_CONCURRENCY = 2
|
||||
NITTER_REQUEST_DELAY = 1.0
|
||||
|
||||
DEFAULT_HEADERS = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
|
||||
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
|
||||
"Accept-Language": "en-US,en;q=0.5",
|
||||
"Accept-Encoding": "gzip, deflate",
|
||||
"Connection": "keep-alive",
|
||||
}
|
||||
|
||||
|
||||
def is_nitter_url(url: str) -> bool:
|
||||
"""判断是否为 nitter / xcancel 实例 URL"""
|
||||
return any(host in url for host in NITTER_HOSTS)
|
||||
|
||||
|
||||
def parse_entry_time(entry) -> Optional[datetime]:
|
||||
"""解析条目的发布时间 (返回带 UTC 时区的 datetime)"""
|
||||
published_parsed = getattr(entry, "published_parsed", None)
|
||||
if published_parsed is not None:
|
||||
return datetime(*published_parsed[:6], tzinfo=timezone.utc)
|
||||
|
||||
updated_parsed = getattr(entry, "updated_parsed", None)
|
||||
if updated_parsed is not None:
|
||||
return datetime(*updated_parsed[:6], tzinfo=timezone.utc)
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def _extract_body(entry) -> str:
|
||||
"""提取条目正文：优先 content（含 <content:encoded>），其次 description，最后 summary"""
|
||||
content_list = getattr(entry, "content", None)
|
||||
if content_list:
|
||||
value = content_list[0].get("value", "")
|
||||
if value:
|
||||
return value
|
||||
description = getattr(entry, "description", "")
|
||||
if description:
|
||||
return description
|
||||
return getattr(entry, "summary", "") or ""
|
||||
|
||||
|
||||
def _truncate_title(title: str) -> str:
|
||||
if len(title) <= TITLE_MAX_CHARS:
|
||||
return title
|
||||
return title[:TITLE_MAX_CHARS].rstrip() + "…"
|
||||
|
||||
|
||||
def _parse_feed_entries(content, feed_info: Dict, cutoff_time: datetime) -> List[Dict]:
|
||||
"""把 feed 字节/字符串解析为条目列表，按 cutoff 时间过滤"""
|
||||
feed = feedparser.parse(content)
|
||||
entries = []
|
||||
|
||||
for entry in feed.entries:
|
||||
pub_date = parse_entry_time(entry)
|
||||
|
||||
# RSS 通常按时间倒序排列，一旦发现过期直接跳出
|
||||
if pub_date and pub_date < cutoff_time:
|
||||
break
|
||||
|
||||
entries.append(
|
||||
{
|
||||
"title": _truncate_title(entry.get("title", "无标题")),
|
||||
"link": entry.get("link", ""),
|
||||
"published": pub_date,
|
||||
"source": feed_info["title"],
|
||||
"content": _extract_body(entry),
|
||||
"tags": [],
|
||||
"score": 0,
|
||||
"summary": "",
|
||||
}
|
||||
)
|
||||
|
||||
return entries
|
||||
|
||||
|
||||
async def _fetch_nitter_content(url: str, timeout: int) -> Optional[bytes]:
|
||||
"""nitter / xcancel 专用：requests + Inoreader UA，丢线程池避免阻塞 loop"""
|
||||
|
||||
def _sync():
|
||||
try:
|
||||
r = requests.get(url, headers=NITTER_HEADERS, timeout=timeout)
|
||||
if r.status_code != 200:
|
||||
print(f"⚠️ HTTP {r.status_code}: {url}")
|
||||
return None
|
||||
return r.content
|
||||
except Exception as e:
|
||||
print(f"⚠️ nitter 抓取失败 {url}: {e}")
|
||||
return None
|
||||
|
||||
return await asyncio.to_thread(_sync)
|
||||
|
||||
|
||||
async def _fetch_aiohttp_content(
|
||||
url: str, timeout: int, session: aiohttp.ClientSession = None
|
||||
) -> Optional[str]:
|
||||
"""普通 RSS 源：aiohttp + 浏览器 UA"""
|
||||
client_timeout = aiohttp.ClientTimeout(total=timeout)
|
||||
|
||||
if session is not None:
|
||||
async with session.get(
|
||||
url, headers=DEFAULT_HEADERS, timeout=client_timeout
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
print(f"⚠️ HTTP {resp.status}: {url}")
|
||||
return None
|
||||
return await resp.text()
|
||||
|
||||
async with aiohttp.ClientSession() as sess:
|
||||
async with sess.get(
|
||||
url, headers=DEFAULT_HEADERS, timeout=client_timeout
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
print(f"⚠️ HTTP {resp.status}: {url}")
|
||||
return None
|
||||
return await resp.text()
|
||||
|
||||
|
||||
async def fetch_single_feed_async(
|
||||
feed_info: Dict,
|
||||
cutoff_time: datetime,
|
||||
timeout: int = 5,
|
||||
session: aiohttp.ClientSession = None,
|
||||
) -> List[Dict]:
|
||||
"""异步获取单个源的条目"""
|
||||
try:
|
||||
if timeout is None:
|
||||
timeout = DEFAULT_FEED_TIMEOUT
|
||||
|
||||
url = feed_info["xmlUrl"]
|
||||
|
||||
if is_nitter_url(url):
|
||||
content = await _fetch_nitter_content(url, timeout)
|
||||
else:
|
||||
content = await _fetch_aiohttp_content(url, timeout, session)
|
||||
|
||||
if content is None:
|
||||
return []
|
||||
|
||||
return _parse_feed_entries(content, feed_info, cutoff_time)
|
||||
except Exception as e:
|
||||
print(f"⚠️ 获取失败 {feed_info['title']}: {e}")
|
||||
return []
|
||||
|
||||
|
||||
async def fetch_all_feeds(
|
||||
feeds: List[Dict], cutoff_time: datetime, max_workers: int = 10, timeout: int = None
|
||||
) -> List[Dict]:
|
||||
"""并发获取所有源的条目；nitter/xcancel 走独立的低并发池"""
|
||||
if timeout is None:
|
||||
timeout = DEFAULT_FEED_TIMEOUT
|
||||
|
||||
nitter_feeds = [f for f in feeds if is_nitter_url(f.get("xmlUrl", ""))]
|
||||
normal_feeds = [f for f in feeds if not is_nitter_url(f.get("xmlUrl", ""))]
|
||||
|
||||
normal_sem = asyncio.Semaphore(max_workers)
|
||||
nitter_sem = asyncio.Semaphore(NITTER_MAX_CONCURRENCY)
|
||||
|
||||
async def fetch_normal(feed):
|
||||
async with normal_sem:
|
||||
return await fetch_single_feed_async(feed, cutoff_time, timeout)
|
||||
|
||||
async def fetch_nitter(feed):
|
||||
async with nitter_sem:
|
||||
result = await fetch_single_feed_async(feed, cutoff_time, timeout)
|
||||
# 公益实例：抓完 sleep，把同一 worker 串内的请求拉开
|
||||
await asyncio.sleep(NITTER_REQUEST_DELAY)
|
||||
return result
|
||||
|
||||
ordered_feeds = normal_feeds + nitter_feeds
|
||||
tasks = [fetch_normal(f) for f in normal_feeds] + [
|
||||
fetch_nitter(f) for f in nitter_feeds
|
||||
]
|
||||
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
|
||||
all_entries = []
|
||||
for feed, result in zip(ordered_feeds, results):
|
||||
if isinstance(result, Exception):
|
||||
print(f"⚠️ 获取失败 {feed['title']}: {result}")
|
||||
else:
|
||||
all_entries.extend(result)
|
||||
|
||||
return all_entries
|
||||
@@ -0,0 +1,634 @@
|
||||
"""LLM模块 - 评分和汇总"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional, Tuple
|
||||
|
||||
from src.markdown_utils import normalize_str_list, parse_frontmatter
|
||||
|
||||
|
||||
def load_prompt(prompt_path: str, **kwargs) -> str:
|
||||
"""加载提示词模板并填充变量"""
|
||||
path = Path(prompt_path)
|
||||
if not path.exists():
|
||||
raise FileNotFoundError(f"提示词文件不存在: {prompt_path}")
|
||||
|
||||
with open(path, "r", encoding="utf-8") as f:
|
||||
template = f.read()
|
||||
|
||||
# 先把模板中的 {{ 和 }} 替换成占位符，避免与format冲突
|
||||
template = template.replace("{{", "\x00LEFT_BRACE\x00").replace(
|
||||
"}}", "\x00RIGHT_BRACE\x00"
|
||||
)
|
||||
|
||||
# 替换变量
|
||||
for key, value in kwargs.items():
|
||||
template = template.replace(f"{{{key}}}", str(value))
|
||||
|
||||
# 恢复 {{ 和 }}
|
||||
template = template.replace("\x00LEFT_BRACE\x00", "{").replace(
|
||||
"\x00RIGHT_BRACE\x00", "}"
|
||||
)
|
||||
|
||||
return template
|
||||
|
||||
|
||||
async def call_llm(
|
||||
prompt: str, config: Dict, response_format: Optional[Dict] = None
|
||||
) -> str:
|
||||
"""调用LLM API - 统一使用OpenAI兼容接口"""
|
||||
model = config.get("model", "gpt-4o-mini")
|
||||
base_url = config.get("baseUrl", "https://api.openai.com/v1")
|
||||
api_key_name = config.get("apiKeyName", "OPENAI_API_KEY")
|
||||
|
||||
api_key = os.environ.get(api_key_name)
|
||||
if not api_key:
|
||||
raise ValueError(f"未设置{api_key_name}环境变量")
|
||||
|
||||
import aiohttp
|
||||
|
||||
headers = {
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
|
||||
payload = {
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": prompt}],
|
||||
"temperature": 0.3,
|
||||
}
|
||||
if response_format is not None:
|
||||
payload["response_format"] = response_format
|
||||
|
||||
url = f"{base_url}/chat/completions"
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.post(url, headers=headers, json=payload) as resp:
|
||||
if resp.status != 200:
|
||||
text = await resp.text()
|
||||
raise RuntimeError(f"LLM API错误: {resp.status} - {text}")
|
||||
|
||||
data = await resp.json()
|
||||
return data["choices"][0]["message"]["content"]
|
||||
|
||||
|
||||
async def check_llm_available(config: Dict, timeout_seconds: int = 15) -> str:
|
||||
"""启动时检查 LLM 接口可用性"""
|
||||
prompt = "Reply with OK only."
|
||||
|
||||
try:
|
||||
response = await asyncio.wait_for(
|
||||
call_llm(prompt, config), timeout=timeout_seconds
|
||||
)
|
||||
except asyncio.TimeoutError as exc:
|
||||
raise RuntimeError(f"LLM可用性检查超时({timeout_seconds}s)") from exc
|
||||
except Exception as exc:
|
||||
raise RuntimeError(f"LLM可用性检查失败: {exc}") from exc
|
||||
|
||||
response_text = response.strip()
|
||||
if not response_text:
|
||||
raise RuntimeError("LLM可用性检查返回空响应")
|
||||
|
||||
return response_text
|
||||
|
||||
|
||||
def _build_batch_prompt(entries: List[Dict], prompt_path: str = None) -> str:
|
||||
"""构建批量评分prompt"""
|
||||
# 构建entries JSON列表（只包含必要字段）
|
||||
entries_for_llm = []
|
||||
for e in entries:
|
||||
entries_for_llm.append(
|
||||
{
|
||||
"link": e.get("link", ""),
|
||||
"title": e.get("title", "无标题"),
|
||||
"source": e.get("source", "未知来源"),
|
||||
"published": e.get("published", ""),
|
||||
"content": e.get("content", "")[:2000], # 限制内容长度
|
||||
}
|
||||
)
|
||||
|
||||
entries_json = json.dumps(entries_for_llm, ensure_ascii=False, indent=2)
|
||||
|
||||
# 从文件加载提示词模板，如果未指定则使用默认路径
|
||||
if prompt_path is None:
|
||||
prompt_path = "prompts/score_batch.md"
|
||||
|
||||
return load_prompt(prompt_path, entries_json=entries_json)
|
||||
|
||||
|
||||
def _parse_llm_json_response(response: str) -> List[Dict]:
|
||||
"""解析LLM返回的JSON响应"""
|
||||
text = response.strip()
|
||||
|
||||
# 尝试去除markdown代码块
|
||||
if text.startswith("```json"):
|
||||
text = text[7:]
|
||||
elif text.startswith("```"):
|
||||
text = text[3:]
|
||||
|
||||
if text.endswith("```"):
|
||||
text = text[:-3]
|
||||
|
||||
text = text.strip()
|
||||
|
||||
# 尝试查找JSON数组
|
||||
if text.startswith("[") and text.endswith("]"):
|
||||
try:
|
||||
return json.loads(text)
|
||||
except json.JSONDecodeError:
|
||||
print("⚠️ 直接解析JSON失败，尝试从文本中提取JSON数组")
|
||||
pass
|
||||
|
||||
# 尝试从文本中提取JSON数组
|
||||
match = re.search(r"\[.*\]", text, re.DOTALL)
|
||||
if match:
|
||||
try:
|
||||
return json.loads(match.group())
|
||||
except json.JSONDecodeError:
|
||||
print("⚠️ 从文本中提取JSON数组失败:", text)
|
||||
pass
|
||||
|
||||
raise ValueError(f"无法从响应中解析JSON: {response[:200]}...")
|
||||
|
||||
|
||||
def _parse_score_response(response: str) -> List[Dict]:
|
||||
"""解析评分LLM响应。
|
||||
|
||||
json_object 模式下应返回 {"items": [...]} 形式的对象;
|
||||
兼容直接数组与 markdown 包裹作为兜底路径。
|
||||
"""
|
||||
text = response.strip()
|
||||
|
||||
if text.startswith("```json"):
|
||||
text = text[7:]
|
||||
elif text.startswith("```"):
|
||||
text = text[3:]
|
||||
if text.endswith("```"):
|
||||
text = text[:-3]
|
||||
text = text.strip()
|
||||
|
||||
parsed = None
|
||||
try:
|
||||
parsed = json.loads(text)
|
||||
except json.JSONDecodeError:
|
||||
for pattern in (r"\{.*\}", r"\[.*\]"):
|
||||
match = re.search(pattern, text, re.DOTALL)
|
||||
if match:
|
||||
try:
|
||||
parsed = json.loads(match.group())
|
||||
break
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
if parsed is None:
|
||||
print(f"无法从响应中解析JSON: {response}")
|
||||
raise ValueError(f"无法从响应中解析JSON: {response[:200]}...")
|
||||
|
||||
if isinstance(parsed, list):
|
||||
return parsed
|
||||
|
||||
if isinstance(parsed, dict):
|
||||
for key in ("items", "results", "data", "scores"):
|
||||
if isinstance(parsed.get(key), list):
|
||||
return parsed[key]
|
||||
list_values = [v for v in parsed.values() if isinstance(v, list)]
|
||||
if len(list_values) == 1:
|
||||
return list_values[0]
|
||||
|
||||
print(f"无法从响应中提取评分数组: {response}")
|
||||
raise ValueError(f"无法从响应中提取评分数组: {response[:200]}...")
|
||||
|
||||
|
||||
def _split_entries_for_batch(
|
||||
entries: List[Dict], max_prompt_chars: int = 10000
|
||||
) -> List[List[Dict]]:
|
||||
"""将entries分成多个批次，每批不超过max_prompt_chars字符"""
|
||||
if not entries:
|
||||
return []
|
||||
|
||||
batches = []
|
||||
current_batch = []
|
||||
current_chars = 0
|
||||
|
||||
# 预留prompt模板和JSON包装的空间
|
||||
overhead = len(_build_batch_prompt([])) + 500
|
||||
|
||||
for entry in entries:
|
||||
# 估算该entry在JSON中的字符数
|
||||
entry_chars = len(
|
||||
json.dumps(
|
||||
{
|
||||
"link": entry.get("link", ""),
|
||||
"title": entry.get("title", "")[:100],
|
||||
"source": entry.get("source", ""),
|
||||
"published": entry.get("published", ""),
|
||||
"content": entry.get("content", "")[:2000],
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
)
|
||||
|
||||
# 如果当前批次加上这个entry会超出限制，且当前批次不为空，则创建新批次
|
||||
if current_chars + entry_chars + overhead > max_prompt_chars and current_batch:
|
||||
batches.append(current_batch)
|
||||
current_batch = [entry]
|
||||
current_chars = entry_chars
|
||||
else:
|
||||
current_batch.append(entry)
|
||||
current_chars += entry_chars
|
||||
|
||||
# 添加最后一个批次
|
||||
if current_batch:
|
||||
batches.append(current_batch)
|
||||
|
||||
return batches
|
||||
|
||||
|
||||
def _reconcile_batch_results(
|
||||
entries: List[Dict], results: List[Dict], batch_index: int
|
||||
) -> Tuple[List[Dict], List[str]]:
|
||||
"""对单批评分结果按 link 过滤，保留可回收结果"""
|
||||
entry_links = {entry.get("link") for entry in entries if entry.get("link")}
|
||||
matched_results = []
|
||||
result_links = set()
|
||||
|
||||
for item in results:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
|
||||
link = item.get("link")
|
||||
if link:
|
||||
result_links.add(link)
|
||||
if link in entry_links:
|
||||
matched_results.append(item)
|
||||
|
||||
errors = []
|
||||
if len(results) != len(entries) or len(matched_results) != len(entries):
|
||||
missing_links = sorted(entry_links - result_links)
|
||||
error_message = (
|
||||
"批次{batch} 评分结果异常: 输入{input_count}, 返回{output_count}, "
|
||||
"匹配{matched_count}, 未评分链接({missing_count}): {missing}"
|
||||
).format(
|
||||
batch=batch_index + 1,
|
||||
input_count=len(entries),
|
||||
output_count=len(results),
|
||||
matched_count=len(matched_results),
|
||||
missing_count=len(missing_links),
|
||||
missing=missing_links,
|
||||
)
|
||||
print(f"⚠️ {error_message}")
|
||||
errors.append(error_message)
|
||||
|
||||
return matched_results, errors
|
||||
|
||||
|
||||
async def _score_single_batch(
|
||||
entries: List[Dict], config: Dict, batch_index: int = 0
|
||||
) -> Tuple[List[Dict], List[str]]:
|
||||
"""对单批entries进行评分"""
|
||||
# 从config获取批量评分提示词路径
|
||||
prompt_path = config.get("prompts", {}).get("score_batch", "prompts/score_batch.md")
|
||||
prompt = _build_batch_prompt(entries, prompt_path)
|
||||
|
||||
try:
|
||||
response = await call_llm(
|
||||
prompt, config, response_format={"type": "json_object"}
|
||||
)
|
||||
results = _parse_score_response(response)
|
||||
|
||||
if not isinstance(results, list):
|
||||
raise ValueError(f"LLM返回的不是数组: {type(results)}")
|
||||
|
||||
return _reconcile_batch_results(entries, results, batch_index)
|
||||
|
||||
except Exception as e:
|
||||
error_message = f"批次{batch_index + 1} 评分失败: {e}"
|
||||
print(f"⚠️ {error_message}")
|
||||
return [], [error_message]
|
||||
|
||||
|
||||
async def score_batch(
|
||||
entries: List[Dict], config: Dict
|
||||
) -> Tuple[List[Dict], List[str]]:
|
||||
"""
|
||||
批量评分 - 智能分批处理
|
||||
|
||||
根据数据量自动决定分批策略：
|
||||
- 小批量：一次性发送
|
||||
- 大批量：分成多个批次并行处理
|
||||
"""
|
||||
if not entries:
|
||||
return [], []
|
||||
|
||||
# 获取分批配置
|
||||
max_prompt_chars = config.get("max_prompt_chars", 10000)
|
||||
max_concurrent_batches = config.get("max_concurrent_batches", 3)
|
||||
|
||||
# 分批
|
||||
batches = _split_entries_for_batch(entries, max_prompt_chars)
|
||||
print(f"📦 分成 {len(batches)} 个批次评分 (共 {len(entries)} 条)")
|
||||
|
||||
# 如果只有一批，直接处理
|
||||
if len(batches) == 1:
|
||||
scores, errors = await _score_single_batch(batches[0], config, batch_index=0)
|
||||
return _merge_scores(entries, scores), errors
|
||||
|
||||
# 多批并行处理（限制并发数）
|
||||
semaphore = asyncio.Semaphore(max_concurrent_batches)
|
||||
|
||||
async def score_with_limit(batch_index: int, batch: List[Dict]):
|
||||
async with semaphore:
|
||||
return await _score_single_batch(batch, config, batch_index=batch_index)
|
||||
|
||||
# 并发处理所有批次
|
||||
batch_tasks = [
|
||||
score_with_limit(batch_index, batch)
|
||||
for batch_index, batch in enumerate(batches)
|
||||
]
|
||||
batch_results = await asyncio.gather(*batch_tasks)
|
||||
|
||||
# 合并所有评分结果
|
||||
all_scores = []
|
||||
all_errors = []
|
||||
for scores, errors in batch_results:
|
||||
all_scores.extend(scores)
|
||||
all_errors.extend(errors)
|
||||
|
||||
return _merge_scores(entries, all_scores), all_errors
|
||||
|
||||
|
||||
def _merge_scores(entries: List[Dict], scores: List[Dict]) -> List[Dict]:
|
||||
"""将评分结果合并到原始entries中"""
|
||||
# 构建link到score的映射
|
||||
score_map = {s.get("link"): s for s in scores if s.get("link")}
|
||||
|
||||
merged = []
|
||||
for entry in entries:
|
||||
link = entry.get("link")
|
||||
score_data = score_map.get(link, {})
|
||||
|
||||
# 确保 score 为整数类型
|
||||
score_value = score_data.get("score", entry.get("score"))
|
||||
if isinstance(score_value, str):
|
||||
try:
|
||||
score_value = int(score_value)
|
||||
except (ValueError, TypeError):
|
||||
score_value = 0
|
||||
|
||||
merged.append(
|
||||
{
|
||||
**entry,
|
||||
"tags": score_data.get("tags", entry.get("tags", [])),
|
||||
"score": score_value,
|
||||
"summary": score_data.get("summary", entry.get("summary", "")),
|
||||
}
|
||||
)
|
||||
|
||||
return merged
|
||||
|
||||
|
||||
async def generate_immediate_push(
|
||||
entries: List[Dict], config: Dict, recent_push_context: str = ""
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
"""生成即时推送内容
|
||||
|
||||
Args:
|
||||
entries: 原始entries列表（调用方已筛选好高分条目）
|
||||
config: LLM配置
|
||||
recent_push_context: 近期推送上下文，用于去重
|
||||
"""
|
||||
prompt_path = config.get("prompts", {}).get(
|
||||
"immediate_push", "prompts/immediate_push.txt"
|
||||
)
|
||||
|
||||
# 直接使用传入的entries，转为JSON格式传给prompt
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
count=len(entries),
|
||||
entries=json.dumps(entries, ensure_ascii=False, indent=2),
|
||||
recent_push_context=recent_push_context,
|
||||
)
|
||||
|
||||
try:
|
||||
return await call_llm(prompt, config), None
|
||||
except Exception as e:
|
||||
error_message = f"生成即时推送失败: {e}"
|
||||
print(f"⚠️ {error_message}")
|
||||
return "", error_message
|
||||
|
||||
|
||||
async def compose_digest(
|
||||
entries: List[Dict],
|
||||
context: List[Dict],
|
||||
config: Dict,
|
||||
recent_push_context: str = "",
|
||||
) -> str:
|
||||
"""生成定时汇总推送内容
|
||||
|
||||
Args:
|
||||
entries: 原始entries列表
|
||||
context: 历史碎片化信息（用于去重参考），只保留 title, published, tags, summary, source
|
||||
config: LLM配置
|
||||
recent_push_context: 近期汇总推送上下文，用于去重
|
||||
"""
|
||||
prompt_path = config.get("prompts", {}).get("digest", "prompts/digest.md")
|
||||
|
||||
# context 只保留必要字段，拼接成字符串
|
||||
context_text = []
|
||||
for c in context:
|
||||
tags_str = ", ".join(c.get("tags", [])) if c.get("tags") else ""
|
||||
context_text.append(
|
||||
f"[score: {c.get('score', 0)}] title:{c.get('title', '')}\n"
|
||||
f"published: {c.get('published', '')}\n"
|
||||
f"tags: {tags_str}\n"
|
||||
f"source: {c.get('source', '')}\n"
|
||||
f"summary: {c.get('summary', '')}"
|
||||
)
|
||||
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
count=len(entries),
|
||||
entries=json.dumps(entries, ensure_ascii=False, indent=2),
|
||||
context="\n\n".join(context_text),
|
||||
recent_push_context=recent_push_context,
|
||||
date=datetime.now().strftime("%Y-%m-%d"),
|
||||
)
|
||||
|
||||
try:
|
||||
return await call_llm(prompt, config)
|
||||
except Exception:
|
||||
raise
|
||||
|
||||
|
||||
async def summarize_github_trending(
|
||||
enriched_repos: List[Dict], config: Dict
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
"""GH 板块总结:从 enriched 候选中选 1-max_items + 写 markdown。不传历史上下文。"""
|
||||
prompt_path = config.get("prompts", {}).get(
|
||||
"section_github", "prompts/section_github.md"
|
||||
)
|
||||
max_items = (
|
||||
config.get("sections", {}).get("github_trending", {}).get("max_items", 3)
|
||||
)
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
repos_json=json.dumps(enriched_repos, ensure_ascii=False, indent=2),
|
||||
max_items=max_items,
|
||||
)
|
||||
try:
|
||||
return await call_llm(prompt, config), None
|
||||
except Exception as e:
|
||||
msg = f"summarize_github_trending 失败: {e}"
|
||||
print(f"⚠️ {msg}")
|
||||
return "", msg
|
||||
|
||||
|
||||
async def select_ai_related_hn(
|
||||
candidates: List[Dict], k: int, config: Dict
|
||||
) -> Tuple[List[str], Optional[str]]:
|
||||
"""轻 LLM:从 HN 首页候选元数据中挑 k 个 AI 相关 id。
|
||||
|
||||
输入候选只含 id/title/site/points/comments 字段(不含正文)。
|
||||
"""
|
||||
prompt_path = config.get("prompts", {}).get(
|
||||
"section_hackernews_select", "prompts/section_hackernews_select.md"
|
||||
)
|
||||
slim = [
|
||||
{
|
||||
"id": c.get("id"),
|
||||
"title": c.get("title", ""),
|
||||
"site": c.get("site", ""),
|
||||
"points": c.get("points", 0),
|
||||
"comments": c.get("comments", 0),
|
||||
}
|
||||
for c in candidates
|
||||
]
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
k=k,
|
||||
candidates_json=json.dumps(slim, ensure_ascii=False, indent=2),
|
||||
)
|
||||
try:
|
||||
response = await call_llm(prompt, config)
|
||||
except Exception as e:
|
||||
msg = f"select_ai_related_hn 失败: {e}"
|
||||
print(f"⚠️ {msg}")
|
||||
return [], msg
|
||||
|
||||
try:
|
||||
ids = _parse_llm_json_response(response)
|
||||
except ValueError as e:
|
||||
msg = f"select_ai_related_hn 解析失败: {e}"
|
||||
print(f"⚠️ {msg}")
|
||||
return [], msg
|
||||
|
||||
if not isinstance(ids, list):
|
||||
return [], "select_ai_related_hn 返回非数组"
|
||||
return [str(x) for x in ids][:k], None
|
||||
|
||||
|
||||
async def summarize_hackernews(
|
||||
enriched_stories: List[Dict], config: Dict
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
"""对输入的 K 个 enriched stories 行文(K 由 select_k 决定)。不传历史上下文。"""
|
||||
prompt_path = config.get("prompts", {}).get(
|
||||
"section_hackernews", "prompts/section_hackernews.md"
|
||||
)
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
stories_json=json.dumps(enriched_stories, ensure_ascii=False, indent=2),
|
||||
)
|
||||
try:
|
||||
return await call_llm(prompt, config), None
|
||||
except Exception as e:
|
||||
msg = f"summarize_hackernews 失败: {e}"
|
||||
print(f"⚠️ {msg}")
|
||||
return "", msg
|
||||
|
||||
|
||||
async def generate_trend_insights(
|
||||
sections: Dict[str, str], config: Dict
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
"""输入三段成品,返回洞察段 markdown(含 frontmatter)。"""
|
||||
prompt_path = config.get("prompts", {}).get("insights", "prompts/insights.md")
|
||||
prompt = load_prompt(
|
||||
prompt_path,
|
||||
rss=sections.get("rss", ""),
|
||||
github=sections.get("github", ""),
|
||||
hackernews=sections.get("hackernews", ""),
|
||||
)
|
||||
try:
|
||||
return await call_llm(prompt, config), None
|
||||
except Exception as e:
|
||||
msg = f"generate_trend_insights 失败: {e}"
|
||||
print(f"⚠️ {msg}")
|
||||
return "", msg
|
||||
|
||||
|
||||
def parse_insights_with_metadata(llm_output: str, date: str) -> Tuple[str, Dict]:
|
||||
"""解析 insights LLM 输出,返回 (insights_md, metadata)。
|
||||
|
||||
metadata 字段:title / excerpt / seotitle / seodescription / lead / highlights /
|
||||
profile / date。缺失字段补默认值。
|
||||
"""
|
||||
meta, body = parse_frontmatter(llm_output)
|
||||
insights_md = body if meta else llm_output
|
||||
|
||||
metadata = {
|
||||
"title": meta.get("title") or f"📰 AI Daily 每日精选 | {date}",
|
||||
"excerpt": meta.get("excerpt", ""),
|
||||
"seotitle": meta.get("seotitle", ""),
|
||||
"seodescription": meta.get("seodescription", ""),
|
||||
"lead": meta.get("lead", ""),
|
||||
"highlights": normalize_str_list(meta.get("highlights")),
|
||||
"profile": "morning",
|
||||
"date": date,
|
||||
}
|
||||
return insights_md, metadata
|
||||
|
||||
|
||||
def parse_digest_with_metadata(llm_output: str, date: str) -> Tuple[str, Dict]:
|
||||
"""解析 digest LLM 输出,返回 (digest_md, metadata)。
|
||||
|
||||
metadata 字段:title / lead / highlights / profile / date。
|
||||
无 frontmatter 时回退到 "🌙 AI Daily 晚报 | {date}" 标题。
|
||||
"""
|
||||
meta, body = parse_frontmatter(llm_output)
|
||||
digest_md = body if meta else llm_output
|
||||
|
||||
metadata = {
|
||||
"title": meta.get("title") or f"🌙 AI Daily 晚报 | {date}",
|
||||
"lead": meta.get("lead", ""),
|
||||
"highlights": normalize_str_list(meta.get("highlights")),
|
||||
"profile": "default",
|
||||
"date": date,
|
||||
}
|
||||
return digest_md, metadata
|
||||
|
||||
|
||||
def parse_immediate_push_with_metadata(
|
||||
llm_output: str, default_title: str
|
||||
) -> Tuple[str, Dict]:
|
||||
"""解析即时推送 LLM 输出,返回 (body, metadata)。
|
||||
|
||||
metadata 仅含 title / profile。无 frontmatter 时降级到旧式 `# ` 标题提取,
|
||||
再降级到 default_title。
|
||||
"""
|
||||
meta, body = parse_frontmatter(llm_output)
|
||||
|
||||
if meta and meta.get("title"):
|
||||
return body, {"title": meta["title"], "profile": "hotspot"}
|
||||
|
||||
# 兼容旧格式:从正文一级标题提取
|
||||
match = re.search(r"^\s*#\s+(.+?)\s*\n(.*)$", llm_output, re.DOTALL | re.MULTILINE)
|
||||
if match:
|
||||
return match.group(2).rstrip(), {
|
||||
"title": match.group(1).strip(),
|
||||
"profile": "hotspot",
|
||||
}
|
||||
|
||||
return llm_output, {"title": default_title, "profile": "hotspot"}
|
||||
@@ -0,0 +1,714 @@
|
||||
"""AI每日资讯推送系统 - 主程序"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
from datetime import date, datetime, timedelta, timezone
|
||||
from typing import Dict, List, Optional
|
||||
|
||||
# 加载 .env 文件
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from croniter import croniter
|
||||
|
||||
from src.config import get_timezone, load_config, merge_sources
|
||||
from src.fetcher import fetch_all_feeds
|
||||
from src.llm import (
|
||||
check_llm_available,
|
||||
generate_immediate_push,
|
||||
parse_immediate_push_with_metadata,
|
||||
score_batch,
|
||||
)
|
||||
from src.processor import html_to_markdown
|
||||
from src.push import send_to_platforms
|
||||
from src.sections.github.section import run_github_section
|
||||
from src.sections.hackernews.section import run_hackernews_section
|
||||
from src.sections.insights.section import run_insights_section
|
||||
from src.sections.rss.section import run_rss_section
|
||||
from src.storage import (
|
||||
append_entries,
|
||||
assemble_with_sentinels,
|
||||
cleanup_old_files,
|
||||
get_fetch_file,
|
||||
get_notify_file,
|
||||
get_push_file,
|
||||
load_existing_links,
|
||||
load_recent_notify_content,
|
||||
load_recent_push_content,
|
||||
read_entries,
|
||||
save_notify_file,
|
||||
save_push_file,
|
||||
)
|
||||
|
||||
|
||||
async def notify_llm_errors(stage: str, errors: List[str], config: Dict):
|
||||
"""发送简单的 LLM 异常通知"""
|
||||
if not errors:
|
||||
return
|
||||
|
||||
lines = [
|
||||
"## LLM异常",
|
||||
"",
|
||||
f"stage: {stage}",
|
||||
f"time: {now_local(config).strftime('%Y-%m-%d %H:%M:%S')}",
|
||||
"",
|
||||
]
|
||||
lines.extend(f"- {error}" for error in errors)
|
||||
|
||||
try:
|
||||
await send_to_platforms("\n".join(lines), config["push"])
|
||||
except Exception as e:
|
||||
print(f"⚠️ LLM异常通知发送失败: {e}")
|
||||
|
||||
|
||||
def now_local(config: Dict = None) -> datetime:
|
||||
"""获取配置时区的当前时间"""
|
||||
return datetime.now(get_timezone(config))
|
||||
|
||||
|
||||
def parse_time_to_local(time_str: str, config: Dict = None) -> Optional[datetime]:
|
||||
"""解析时间字符串为配置时区的datetime"""
|
||||
try:
|
||||
dt = datetime.fromisoformat(time_str.replace("Z", "+00:00"))
|
||||
return dt.astimezone(get_timezone(config))
|
||||
except (ValueError, TypeError):
|
||||
return None
|
||||
|
||||
|
||||
def calculate_push_times(
|
||||
cron_list: List[str], offset_days: int = 0, config: Dict = None
|
||||
) -> List[datetime]:
|
||||
base_date = datetime.now(get_timezone(config)).date() + timedelta(days=offset_days)
|
||||
times = []
|
||||
for cron in cron_list:
|
||||
try:
|
||||
minute, hour, _, _, _ = cron.split()
|
||||
t = datetime.combine(
|
||||
base_date,
|
||||
datetime.strptime(f"{hour}:{minute}", "%H:%M").time(),
|
||||
tzinfo=get_timezone(config),
|
||||
)
|
||||
times.append(t)
|
||||
except ValueError:
|
||||
continue
|
||||
return sorted(times)
|
||||
|
||||
|
||||
def is_morning_push(now: datetime, config: Dict) -> bool:
|
||||
"""判定当前 push 是否为「早报」(触发 GH/HN/insights 三段)。
|
||||
|
||||
规则:在 `schedule.push_cron` 列表里,now 离哪条 cron 最近,就归为那条;
|
||||
最近的那条若是当天最早的 cron,则视为早报。
|
||||
|
||||
特例:
|
||||
- `push_cron` 为空 → 不视为早报
|
||||
- `push_cron` 只有一条 → 该条即"最早"也即"最近",任何触发都视为早报
|
||||
"""
|
||||
cron_list = config.get("schedule", {}).get("push_cron", [])
|
||||
if not cron_list:
|
||||
return False
|
||||
if len(cron_list) == 1:
|
||||
return True
|
||||
|
||||
base = now.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
today_fires = [croniter(c, base).get_next(datetime) for c in cron_list]
|
||||
closest = min(today_fires, key=lambda f: abs(now - f))
|
||||
return closest == min(today_fires)
|
||||
|
||||
|
||||
def collect_entries_for_push(
|
||||
last_push_time: Optional[datetime],
|
||||
context_days: int = 2,
|
||||
min_score: int = 60,
|
||||
data_dir: str = "news-data",
|
||||
) -> tuple[List[Dict], List[Dict]]:
|
||||
"""
|
||||
收集推送所需的条目，返回 (待推送条目, 上下文条目)
|
||||
|
||||
逻辑：
|
||||
1. 获取 context_days 天内的所有条目
|
||||
2. 按 min_score 过滤
|
||||
3. push_time = max(last_push_time, now - 24h)
|
||||
4. 晚于 push_time 的 → 待推送条目
|
||||
5. 早于 push_time 的 → 上下文条目（用于LLM去重参考）
|
||||
"""
|
||||
tz = get_timezone()
|
||||
now = datetime.now(tz)
|
||||
|
||||
# 获取 context_days 天的所有条目
|
||||
all_entries = []
|
||||
today = now.date()
|
||||
for i in range(context_days):
|
||||
d = today - timedelta(days=i)
|
||||
fetch_file = get_fetch_file(d, data_dir)
|
||||
for entry in read_entries(fetch_file):
|
||||
all_entries.append(entry)
|
||||
|
||||
print(
|
||||
f"📋 收集总条目: {len(all_entries)} 条 , context_days: {context_days}, min_score:{min_score}"
|
||||
)
|
||||
|
||||
# 按 min_score 过滤
|
||||
qualified_entries = [e for e in all_entries if (e.get("score") or 0) >= min_score]
|
||||
print(f"📋 过滤后条目: {len(qualified_entries)} 条 ")
|
||||
|
||||
# 计算推送时间边界：max(last_push_time, now - 24h)
|
||||
past_24h = now - timedelta(hours=24)
|
||||
push_cutoff = (
|
||||
last_push_time if last_push_time and last_push_time > past_24h else past_24h
|
||||
)
|
||||
|
||||
print(f"推送时间边界: {push_cutoff.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
|
||||
# 分割条目
|
||||
to_push = []
|
||||
context = []
|
||||
# context 只供 LLM 做去重/历史参考,不需要 content/link/fetched_at 等大字段
|
||||
CONTEXT_FIELDS = ("title", "source", "score", "summary", "tags", "published")
|
||||
|
||||
for entry in qualified_entries:
|
||||
entry_time = parse_time_to_local(entry.get("fetched_at", ""))
|
||||
if entry_time and entry_time > push_cutoff:
|
||||
to_push.append(entry)
|
||||
else:
|
||||
context.append({k: entry.get(k) for k in CONTEXT_FIELDS})
|
||||
|
||||
# 上下文按分数排序，取前50
|
||||
context = sorted(context, key=lambda x: x.get("score", 0), reverse=True)[:50]
|
||||
|
||||
return to_push, context
|
||||
|
||||
|
||||
async def run_fetch_job(config: Dict):
|
||||
print(f"\n{'=' * 50}")
|
||||
print(f"🔄 Fetch Job | {now_local().strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"{'=' * 50}")
|
||||
|
||||
interval = config["schedule"]["fetch_interval_minutes"]
|
||||
lookback = config["schedule"].get("fetch_lookback_minutes", 120)
|
||||
lookback = max(lookback, interval)
|
||||
threshold = lookback + interval
|
||||
cutoff = datetime.now(timezone.utc) - timedelta(minutes=lookback)
|
||||
|
||||
sources = merge_sources(config["sources"])
|
||||
print(f"📂 共 {len(sources)} 个订阅源")
|
||||
|
||||
if not sources:
|
||||
print("⚠️ 没有可用的订阅源")
|
||||
return
|
||||
|
||||
max_workers = config.get("fetch", {}).get("max_workers", 20)
|
||||
timeout = config.get("fetch", {}).get("timeout", 30)
|
||||
entries = await fetch_all_feeds(
|
||||
sources, cutoff, max_workers=max_workers, timeout=timeout
|
||||
)
|
||||
print(f"📥 抓取到 {len(entries)} 条原始消息")
|
||||
|
||||
if not entries:
|
||||
return
|
||||
|
||||
for entry in entries:
|
||||
entry["content"] = html_to_markdown(
|
||||
entry.get("content", ""), entry.get("link", "")
|
||||
)
|
||||
|
||||
fetch_file = get_fetch_file()
|
||||
existing_links = load_existing_links(fetch_file, threshold)
|
||||
new_entries = [
|
||||
e for e in entries if e.get("link") and e["link"] not in existing_links
|
||||
]
|
||||
print(f"🆕 新消息 {len(new_entries)} 条 | 链接数：{len(existing_links)}")
|
||||
|
||||
if not new_entries:
|
||||
return
|
||||
|
||||
print("🤖 LLM评分中...")
|
||||
# 预处理：将所有 datetime 转换为字符串，避免 JSON 序列化错误
|
||||
for entry in new_entries:
|
||||
if isinstance(entry.get("published"), datetime):
|
||||
entry["published"] = (
|
||||
entry["published"].astimezone(get_timezone(config)).isoformat()
|
||||
)
|
||||
|
||||
scored, score_errors = await score_batch(new_entries, config["llm"])
|
||||
if score_errors:
|
||||
print(f"⚠️ [score_batch] {len(score_errors)} 个错误: {score_errors[0]}")
|
||||
await notify_llm_errors("score_batch", score_errors, config)
|
||||
|
||||
is_new_file = not os.path.exists(fetch_file)
|
||||
if is_new_file:
|
||||
cleanup_old_files(days=config["filter"]["keep_days"])
|
||||
|
||||
# 添加 fetched_at 时间戳
|
||||
for entry in scored:
|
||||
entry["fetched_at"] = now_local().isoformat()
|
||||
if isinstance(entry.get("published"), datetime):
|
||||
entry["published"] = (
|
||||
entry["published"].astimezone(get_timezone(config)).isoformat()
|
||||
)
|
||||
|
||||
# 批量保存到 JSON 文件
|
||||
from datetime import date
|
||||
|
||||
meta = {"date": date.today().isoformat()}
|
||||
append_entries(fetch_file, scored, meta)
|
||||
|
||||
print(f"💾 已保存到 {fetch_file}")
|
||||
|
||||
hot_threshold = config["filter"]["hot_threshold"]
|
||||
no_content_marker = config["filter"].get("no_content_marker", "[NO_NEW_CONTENT]")
|
||||
hot_entries = [e for e in scored if (e.get("score") or 0) >= hot_threshold]
|
||||
if hot_entries:
|
||||
print(f"🔥 发现 {len(hot_entries)} 条热点消息，即时推送...")
|
||||
|
||||
# 加载近期已推送内容（仅供 LLM 查重，避免风格趋同）
|
||||
context_days = config["filter"]["context_days"]
|
||||
recent_notify = load_recent_notify_content(context_days)
|
||||
recent_push = load_recent_push_content(context_days)
|
||||
recent_context = (
|
||||
f"=== 近期即时推送 ===\n{recent_notify}\n\n"
|
||||
f"=== 近期汇总推送 ===\n{recent_push}"
|
||||
)
|
||||
|
||||
push_content, immediate_push_error = await generate_immediate_push(
|
||||
hot_entries, config["llm"], recent_push_context=recent_context
|
||||
)
|
||||
|
||||
if immediate_push_error:
|
||||
print(f"⚠️ [generate_immediate_push] {immediate_push_error}")
|
||||
await notify_llm_errors(
|
||||
"generate_immediate_push", [immediate_push_error], config
|
||||
)
|
||||
|
||||
if not push_content:
|
||||
print("⚠️ 即时推送内容生成失败，跳过本次热点推送")
|
||||
print(
|
||||
f"✅ Fetch Job 完成 | 新消息: {len(scored)} 条 | 热点: {len(hot_entries)} 条"
|
||||
)
|
||||
return
|
||||
|
||||
# 检查是否有实际内容需要推送
|
||||
if no_content_marker in push_content:
|
||||
print(f"ℹ️ 无新内容需要推送 (LLM判定为重复内容)")
|
||||
else:
|
||||
# 提取标题并构建 metadata
|
||||
now = now_local(config)
|
||||
timestamp = now.strftime("%Y-%m-%d %H:%M")
|
||||
content_without_title, metadata = parse_immediate_push_with_metadata(
|
||||
push_content, f"🚨 AI Daily 快讯 | {timestamp}"
|
||||
)
|
||||
metadata["pushTime"] = now.isoformat()
|
||||
|
||||
await send_to_platforms(
|
||||
content_without_title,
|
||||
config["push"],
|
||||
"🚨 AI Daily 快讯 | " + metadata["title"],
|
||||
metadata=metadata,
|
||||
)
|
||||
# 保存即时推送内容到notify文件
|
||||
notify_file = get_notify_file()
|
||||
save_notify_file(notify_file, content_without_title, metadata)
|
||||
print(f"💾 已保存即时推送到 {notify_file}")
|
||||
|
||||
print(f"✅ Fetch Job 完成 | 新消息: {len(scored)} 条 | 热点: {len(hot_entries)} 条")
|
||||
|
||||
|
||||
async def run_push_job(config: Dict):
|
||||
print(f"\n{'=' * 50}")
|
||||
print(f"📤 Push Job | {now_local().strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"{'=' * 50}")
|
||||
|
||||
if is_morning_push(now_local(config), config):
|
||||
await _run_morning_push(config)
|
||||
else:
|
||||
await _run_default_push(config)
|
||||
|
||||
|
||||
async def _run_default_push(config: Dict):
|
||||
"""晚报或非早报时段:沿用原有纯 RSS digest 流程,委托给 run_rss_section"""
|
||||
now = now_local(config)
|
||||
rss_md, metadata, rss_err = await run_rss_section(config, now)
|
||||
|
||||
if rss_err and not rss_md:
|
||||
print(f"⚠️ [compose_digest] {rss_err}")
|
||||
await notify_llm_errors("compose_digest", [rss_err], config)
|
||||
raise RuntimeError(f"RSS section failed: {rss_err}")
|
||||
|
||||
if not rss_md:
|
||||
# run_rss_section 在无新消息时已打印 "ℹ️ RSS: 无新消息"
|
||||
return
|
||||
|
||||
# metadata 缺失兜底:parse_digest_with_metadata 失败 / LLM 输出无 frontmatter 时可能返回 None
|
||||
if not metadata:
|
||||
date_str = now.strftime("%Y-%m-%d")
|
||||
metadata = {
|
||||
"title": f"🌙 AI Daily 晚报 | {date_str}",
|
||||
"lead": "",
|
||||
"highlights": [],
|
||||
"profile": "default",
|
||||
"date": date_str,
|
||||
}
|
||||
metadata.setdefault("pushTime", now.isoformat())
|
||||
|
||||
await send_to_platforms(
|
||||
rss_md,
|
||||
config["push"],
|
||||
title="📰 AI Daily 每日精选 | " + metadata["title"],
|
||||
metadata=metadata,
|
||||
)
|
||||
push_file = get_push_file()
|
||||
rss_count = rss_md.count("###")
|
||||
save_push_file(
|
||||
push_file,
|
||||
rss_md,
|
||||
rss_count,
|
||||
rss_count,
|
||||
profile="default",
|
||||
metadata=metadata,
|
||||
)
|
||||
print(f"💾 已保存到 {push_file}")
|
||||
print(f"✅ Push Job 完成 | 推送条目: {rss_count}")
|
||||
|
||||
|
||||
async def _run_morning_push(config: Dict):
|
||||
"""早报四模块编排:RSS/GH/HN 并发 → insights 串行 → sentinel 拼装 → 推送 → 落盘。
|
||||
|
||||
失败语义:
|
||||
- RSS 失败 → 整体抛 RuntimeError (核心承诺不变)
|
||||
- GH/HN/insights 失败 → 该段省略 + 告警,其他段照推
|
||||
"""
|
||||
now = now_local(config)
|
||||
|
||||
rss_result, gh_result, hn_result = await asyncio.gather(
|
||||
run_rss_section(config, now),
|
||||
run_github_section(config, now),
|
||||
run_hackernews_section(config, now),
|
||||
)
|
||||
|
||||
# 早报场景:digest 的 metadata 通常会被 insights 段覆盖,
|
||||
# 但保留以便在 insights 失败时作为兜底来源(title 关键词 / lead / highlights)
|
||||
rss_md, digest_meta, rss_err = rss_result
|
||||
gh_md, gh_err = gh_result
|
||||
hn_md, hn_err = hn_result
|
||||
|
||||
if gh_err:
|
||||
print(f"⚠️ [section_github] {gh_err}")
|
||||
await notify_llm_errors("section_github", [gh_err], config)
|
||||
if hn_err:
|
||||
print(f"⚠️ [section_hackernews] {hn_err}")
|
||||
await notify_llm_errors("section_hackernews", [hn_err], config)
|
||||
|
||||
if rss_err and not rss_md:
|
||||
print(f"⚠️ [compose_digest] {rss_err}")
|
||||
await notify_llm_errors("compose_digest", [rss_err], config)
|
||||
raise RuntimeError(f"RSS section failed: {rss_err}")
|
||||
|
||||
insights_md, metadata, insights_err = await run_insights_section(
|
||||
rss_md, gh_md, hn_md, config, now
|
||||
)
|
||||
if insights_err:
|
||||
print(f"⚠️ [insights] {insights_err}")
|
||||
await notify_llm_errors("insights", [insights_err], config)
|
||||
|
||||
# 如果 insights 失败,优先用 digest metadata 兜底;两者都缺再走默认
|
||||
if not metadata:
|
||||
date_str = now.strftime("%Y-%m-%d")
|
||||
fallback = digest_meta or {}
|
||||
digest_title = fallback.get("title", "")
|
||||
|
||||
title = digest_title if digest_title else f"📰 AI Daily 每日精选 | {date_str}"
|
||||
metadata = {
|
||||
"date": date_str,
|
||||
"pushTime": now.isoformat(),
|
||||
"title": title,
|
||||
"excerpt": "",
|
||||
"seotitle": "",
|
||||
"seodescription": "",
|
||||
"lead": fallback.get("lead", ""),
|
||||
"highlights": fallback.get("highlights", []),
|
||||
"profile": "morning",
|
||||
}
|
||||
else:
|
||||
metadata.setdefault("pushTime", now.isoformat())
|
||||
|
||||
final = assemble_with_sentinels(
|
||||
{
|
||||
"rss": rss_md,
|
||||
"github": gh_md,
|
||||
"hackernews": hn_md,
|
||||
"insights": insights_md,
|
||||
}
|
||||
)
|
||||
|
||||
if not final.strip():
|
||||
print("ℹ️ 早报无任何段输出,跳过推送")
|
||||
return
|
||||
|
||||
await send_to_platforms(
|
||||
final,
|
||||
config["push"],
|
||||
title="📰 AI Daily 每日精选 | " + metadata["title"],
|
||||
metadata=metadata,
|
||||
)
|
||||
push_file = get_push_file()
|
||||
rss_count = rss_md.count("###") if rss_md else 0
|
||||
save_push_file(
|
||||
push_file, final, rss_count, rss_count, profile="morning", metadata=metadata
|
||||
)
|
||||
print(f"💾 已保存早报到 {push_file}")
|
||||
|
||||
|
||||
async def fetch_loop(config: Dict):
|
||||
"""Fetch循环 - 修复时间漂移并支持优雅退出"""
|
||||
import time
|
||||
|
||||
interval_seconds = config["schedule"]["fetch_interval_minutes"] * 60
|
||||
print(f"🔄 Fetch循环已启动 | 严格间隔: {interval_seconds / 60}分钟")
|
||||
|
||||
while True:
|
||||
start_time = time.monotonic() # 使用 monotonic 避免系统时间修改影响
|
||||
|
||||
try:
|
||||
await run_fetch_job(config)
|
||||
except asyncio.CancelledError:
|
||||
print("⚠️ Fetch循环被外部取消，正在安全退出...")
|
||||
break # 允许外部取消任务
|
||||
except Exception as e:
|
||||
print(f"❌ Fetch Job 失败: {e}")
|
||||
|
||||
# 计算任务耗时
|
||||
elapsed = time.monotonic() - start_time
|
||||
# 计算还需要睡多久（如果任务耗时超过间隔，则不睡，立刻进入下一次）
|
||||
sleep_time = max(0.0, interval_seconds - elapsed)
|
||||
|
||||
if sleep_time > 0:
|
||||
print(f"⏰ 下次抓取: {sleep_time / 60:.1f}分钟后")
|
||||
|
||||
try:
|
||||
await asyncio.sleep(sleep_time)
|
||||
except asyncio.CancelledError:
|
||||
print("⚠️ 睡眠被中断，Fetch循环安全退出...")
|
||||
break
|
||||
|
||||
|
||||
async def push_loop(config: Dict):
|
||||
"""Push循环 - 无状态 croniter + 原生异步睡眠"""
|
||||
cron_list = config["schedule"]["push_cron"]
|
||||
tz = get_timezone(config)
|
||||
|
||||
# 1. 启动前预校验 cron 表达式，过滤掉无效配置
|
||||
valid_crons = []
|
||||
for cron in cron_list:
|
||||
if croniter.is_valid(cron):
|
||||
valid_crons.append(cron)
|
||||
else:
|
||||
print(f"⚠️ 忽略无效的 cron 表达式: '{cron}'")
|
||||
|
||||
if not valid_crons:
|
||||
print("❌ 没有有效的推送时间配置，Push循环退出")
|
||||
return
|
||||
|
||||
print(f"📤 Push循环已启动 | 定时: {', '.join(valid_crons)} | 时区: {tz}")
|
||||
|
||||
# 2. 主循环
|
||||
while True:
|
||||
try:
|
||||
now = datetime.now(tz)
|
||||
|
||||
# 💡 核心优化：无状态计算。
|
||||
# 每次都基于此刻的真实时间，动态计算所有有效 cron 的下一次时间，取最近的一个。
|
||||
# 这样无论 run_push_job 执行多久，或者系统休眠过，永远都不会算错。
|
||||
next_push = min(
|
||||
croniter(cron, now).get_next(datetime) for cron in valid_crons
|
||||
)
|
||||
|
||||
wait_seconds = (next_push - datetime.now(tz)).total_seconds()
|
||||
|
||||
if wait_seconds > 0:
|
||||
print(
|
||||
f"⏰ 下次推送: {next_push.strftime('%Y-%m-%d %H:%M:%S')} (等待 {wait_seconds / 60:.1f} 分钟)"
|
||||
)
|
||||
|
||||
# 💡 核心优化：直接 Sleep。asyncio 天生支持被 CancelledError 瞬间打断
|
||||
await asyncio.sleep(wait_seconds)
|
||||
|
||||
# 到达推送时间，执行推送
|
||||
print(f"📤 执行推送: {datetime.now(tz).strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
await run_push_job(config)
|
||||
|
||||
# 增加 1 秒缓冲：防止 run_push_job 执行过快（不到 1 秒），
|
||||
# 导致下一个循环的 now 仍停留在当前秒，croniter 算出重复的时间点。
|
||||
await asyncio.sleep(1)
|
||||
|
||||
except asyncio.CancelledError:
|
||||
print("⚠️ Push循环收到取消信号，安全退出...")
|
||||
break # 直接 break 退出循环即可
|
||||
except Exception as e:
|
||||
print(f"❌ Push 循环异常: {e}")
|
||||
# 遇到未知异常时休眠 60 秒，防止死循环疯狂报错打满日志
|
||||
await asyncio.sleep(60)
|
||||
|
||||
|
||||
async def cmd_check(config: Dict) -> int:
|
||||
"""校验 LLM 接口可达性（部署期使用，运行期不再校验）"""
|
||||
print("🔍 校验 LLM 接口...")
|
||||
try:
|
||||
await check_llm_available(config["llm"])
|
||||
except Exception as e:
|
||||
print(f"❌ LLM 接口不可用: {e}")
|
||||
return 1
|
||||
print("✅ LLM 接口可用")
|
||||
return 0
|
||||
|
||||
|
||||
async def cmd_fetch(config: Dict) -> int:
|
||||
"""单次抓取（systemd timer 调用）"""
|
||||
try:
|
||||
await run_fetch_job(config)
|
||||
return 0
|
||||
except Exception as e:
|
||||
print(f"❌ Fetch 任务失败: {e}")
|
||||
return 1
|
||||
|
||||
|
||||
async def cmd_push(config: Dict) -> int:
|
||||
"""单次推送（systemd timer 调用）"""
|
||||
try:
|
||||
await run_push_job(config)
|
||||
return 0
|
||||
except Exception as e:
|
||||
print(f"❌ Push 任务失败: {e}")
|
||||
return 1
|
||||
|
||||
|
||||
async def cmd_loop(config: Dict) -> int:
|
||||
"""长跑模式（本地开发/调试用）"""
|
||||
print("🔍 检查 LLM 接口可用性...")
|
||||
try:
|
||||
await check_llm_available(config["llm"])
|
||||
print("✅ LLM 接口可用")
|
||||
except Exception as e:
|
||||
print(f"❌ LLM 接口不可用: {e}")
|
||||
return 1
|
||||
await asyncio.gather(fetch_loop(config), push_loop(config))
|
||||
return 0
|
||||
|
||||
|
||||
async def cmd_rss(config: Dict) -> int:
|
||||
"""单独跑一次 RSS digest 板块,打印结果不推送"""
|
||||
print("📰 RSS Digest 单板块运行")
|
||||
try:
|
||||
md, meta, err = await run_rss_section(config, now=now_local(config))
|
||||
except Exception as e:
|
||||
print(f"❌ RSS 板块失败: {e}")
|
||||
return 1
|
||||
if err:
|
||||
print(f"❌ {err}")
|
||||
return 1
|
||||
if not md:
|
||||
print("ℹ️ 本次无内容")
|
||||
return 0
|
||||
print("\n" + "=" * 60)
|
||||
print("📑 metadata:")
|
||||
if meta:
|
||||
import json as _json
|
||||
|
||||
print(_json.dumps(meta, ensure_ascii=False, indent=2))
|
||||
else:
|
||||
print("(none)")
|
||||
print("=" * 60)
|
||||
print(md)
|
||||
print("=" * 60)
|
||||
return 0
|
||||
|
||||
|
||||
async def cmd_github(config: Dict) -> int:
|
||||
"""单独跑一次 GitHub trending 板块,打印结果不推送"""
|
||||
print("⭐ GitHub Trending 单板块运行")
|
||||
try:
|
||||
md, err = await run_github_section(config, now=now_local(config))
|
||||
except Exception as e:
|
||||
print(f"❌ GitHub 板块失败: {e}")
|
||||
return 1
|
||||
if err:
|
||||
print(f"❌ {err}")
|
||||
return 1
|
||||
if not md:
|
||||
print("ℹ️ 本次无内容")
|
||||
return 0
|
||||
print("\n" + "=" * 60)
|
||||
print(md)
|
||||
print("=" * 60)
|
||||
return 0
|
||||
|
||||
|
||||
async def cmd_hackernews(config: Dict) -> int:
|
||||
"""单独跑一次 Hacker News 板块,打印结果不推送"""
|
||||
print("🟧 Hacker News 单板块运行")
|
||||
try:
|
||||
md, err = await run_hackernews_section(config, now=now_local(config))
|
||||
except Exception as e:
|
||||
print(f"❌ Hacker News 板块失败: {e}")
|
||||
return 1
|
||||
if err:
|
||||
print(f"❌ {err}")
|
||||
return 1
|
||||
if not md:
|
||||
print("ℹ️ 本次无内容")
|
||||
return 0
|
||||
print("\n" + "=" * 60)
|
||||
print(md)
|
||||
print("=" * 60)
|
||||
return 0
|
||||
|
||||
|
||||
def _parse_args() -> argparse.Namespace:
|
||||
parser = argparse.ArgumentParser(
|
||||
prog="daily-news",
|
||||
description="AI 每日资讯推送系统",
|
||||
)
|
||||
sub = parser.add_subparsers(dest="command", required=True)
|
||||
sub.add_parser("check", help="校验 LLM 接口可达性")
|
||||
sub.add_parser("fetch", help="单次抓取并退出")
|
||||
sub.add_parser("push", help="单次推送并退出")
|
||||
sub.add_parser("loop", help="长跑模式（开发/调试用）")
|
||||
sub.add_parser("rss", help="单独跑一次 RSS Digest 板块（仅打印,不推送）")
|
||||
sub.add_parser("github", help="单独跑一次 GitHub Trending 板块（仅打印,不推送）")
|
||||
sub.add_parser("hackernews", help="单独跑一次 Hacker News 板块（仅打印,不推送）")
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def main() -> int:
|
||||
print("🚀 AI每日资讯推送系统")
|
||||
args = _parse_args()
|
||||
|
||||
try:
|
||||
config = load_config()
|
||||
print("✅ 配置加载成功")
|
||||
except Exception as e:
|
||||
print(f"❌ 加载配置失败: {e}")
|
||||
return 1
|
||||
|
||||
handlers = {
|
||||
"check": cmd_check,
|
||||
"fetch": cmd_fetch,
|
||||
"push": cmd_push,
|
||||
"loop": cmd_loop,
|
||||
"rss": cmd_rss,
|
||||
"github": cmd_github,
|
||||
"hackernews": cmd_hackernews,
|
||||
}
|
||||
return asyncio.run(handlers[args.command](config))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
sys.exit(main())
|
||||
except KeyboardInterrupt:
|
||||
print("\n👋 程序已退出")
|
||||
sys.exit(0)
|
||||
@@ -0,0 +1,83 @@
|
||||
"""Markdown / YAML frontmatter 公共辅助。
|
||||
|
||||
供 storage、llm 等模块复用,避免重复实现。本模块零业务依赖,仅依赖 yaml/json/re。
|
||||
"""
|
||||
|
||||
import json
|
||||
import re
|
||||
from typing import Any, Dict, List, Tuple
|
||||
|
||||
import yaml
|
||||
|
||||
__all__ = [
|
||||
"yaml_value",
|
||||
"dump_frontmatter",
|
||||
"parse_frontmatter",
|
||||
"normalize_str_list",
|
||||
]
|
||||
|
||||
|
||||
def yaml_value(v: Any) -> str:
|
||||
"""把单个值序列化为 YAML 合法的 token,借道 JSON 语法。
|
||||
|
||||
依据:JSON 是 YAML 1.2 的真子集,任何 json.dumps 的输出都是合法 YAML 标量/序列/映射。
|
||||
始终带引号的字符串可以避免 PyYAML 的若干怪癖(折行、未引号字符串歧义、unicode 转义)。
|
||||
"""
|
||||
if isinstance(v, (dict, list, str)):
|
||||
return json.dumps(v, ensure_ascii=False)
|
||||
if isinstance(v, bool):
|
||||
return "true" if v else "false"
|
||||
if v is None:
|
||||
return ""
|
||||
return str(v)
|
||||
|
||||
|
||||
def dump_frontmatter(meta: Dict) -> str:
|
||||
"""把扁平 metadata dict 序列化为 frontmatter 文本(不含包围的 `---`)。
|
||||
|
||||
保留插入顺序(title 在前,bookkeeping 字段在后)。仅支持扁平结构 —— 当前所有
|
||||
metadata 都是扁平的,无需处理嵌套。
|
||||
"""
|
||||
return "".join(f"{k}: {yaml_value(v)}\n" for k, v in meta.items())
|
||||
|
||||
|
||||
_FRONTMATTER_RE = re.compile(r"^---\s*\n(.*?)\n---\s*\n?(.*)$", re.DOTALL)
|
||||
|
||||
|
||||
def parse_frontmatter(text: str) -> Tuple[Dict, str]:
|
||||
"""从 markdown 文本中分离 YAML frontmatter 与正文。
|
||||
|
||||
返回 (metadata_dict, body)。无 frontmatter / YAML 解析失败 / 非 dict 时返回
|
||||
({}, 原文) —— 保证降级路径不丢内容,调用方可凭 metadata_dict 是否为空判定。
|
||||
"""
|
||||
match = _FRONTMATTER_RE.match(text.strip())
|
||||
if not match:
|
||||
return {}, text
|
||||
|
||||
try:
|
||||
meta = yaml.safe_load(match.group(1)) or {}
|
||||
except yaml.YAMLError:
|
||||
print("frontmatter 数据段解析失败")
|
||||
return {}, text
|
||||
|
||||
if not isinstance(meta, dict):
|
||||
return {}, text
|
||||
|
||||
return meta, match.group(2).strip()
|
||||
|
||||
|
||||
def normalize_str_list(value: Any) -> List[str]:
|
||||
"""将 str/list/None 规整为非空字符串列表。
|
||||
|
||||
用于兜底 LLM 输出的列表型字段(如 frontmatter 中的 highlights):单字符串包裹为单元素列表,
|
||||
null/非列表/非字符串返回空列表,列表中夹杂的空白项过滤掉。不做数量截断。
|
||||
"""
|
||||
if not value:
|
||||
return []
|
||||
if isinstance(value, str):
|
||||
items = [value]
|
||||
elif isinstance(value, list):
|
||||
items = value
|
||||
else:
|
||||
return []
|
||||
return [str(x).strip() for x in items if str(x).strip()]
|
||||
@@ -0,0 +1,37 @@
|
||||
"""内容处理模块 - HTML转Markdown"""
|
||||
|
||||
import re
|
||||
from urllib.parse import urljoin
|
||||
|
||||
from markdownify import markdownify as md
|
||||
|
||||
|
||||
def html_to_markdown(html: str, base_url: str = "") -> str:
|
||||
"""
|
||||
将HTML转换为Markdown，保留链接和图片
|
||||
使用markdownify库，并进行后处理优化
|
||||
"""
|
||||
# markdownify会自动处理<img>为，<a>为[text](url)
|
||||
markdown = md(html, heading_style="ATX")
|
||||
|
||||
# 处理相对链接
|
||||
if base_url:
|
||||
|
||||
def replace_rel_link(m):
|
||||
prefix, path, suffix = m.groups()
|
||||
if path.startswith(("http://", "https://", "data:")):
|
||||
return m.group(0)
|
||||
abs_url = urljoin(base_url, path)
|
||||
return f"{prefix}{abs_url}{suffix}"
|
||||
|
||||
markdown = re.sub(r"(!?\[.*?\]\()(.*?)(\))", replace_rel_link, markdown)
|
||||
|
||||
# 后处理优化
|
||||
# 1. 直接匹配移除 xgo.ing 推广链接
|
||||
markdown = markdown.replace("[⚡ Powered by xgo.ing](https://xgo.ing)", "")
|
||||
markdown = markdown.replace("[⚡ Powered by xgo.ing](https://xgo.ing/)", "")
|
||||
|
||||
# 2. 清理多余空行
|
||||
markdown = re.sub(r"\n{3,}", "\n\n", markdown)
|
||||
|
||||
return markdown.strip()
|
||||
@@ -0,0 +1,42 @@
|
||||
"""推送平台模块"""
|
||||
|
||||
from typing import Dict, Optional
|
||||
|
||||
from .base import PushPlatform
|
||||
from .discord import DiscordPlatform
|
||||
from .feishu import FeishuPlatform
|
||||
from .custom import CustomPlatform
|
||||
|
||||
|
||||
def create_platform(name: str, config: Dict) -> Optional[PushPlatform]:
|
||||
"""工厂函数，创建推送平台实例"""
|
||||
platforms = {
|
||||
"discord": DiscordPlatform,
|
||||
"feishu": FeishuPlatform,
|
||||
"custom": CustomPlatform,
|
||||
}
|
||||
|
||||
if name not in platforms:
|
||||
raise ValueError(f"未知推送平台: {name}")
|
||||
|
||||
platform_class = platforms[name]
|
||||
platform = platform_class(config)
|
||||
|
||||
if not platform.validate_config(config):
|
||||
return None
|
||||
|
||||
return platform
|
||||
|
||||
|
||||
async def send_to_platforms(content: str, push_config: Dict, title: str = None, metadata: Optional[Dict] = None):
|
||||
"""发送内容到所有已启用且配置有效的平台"""
|
||||
for platform_name, platform_conf in push_config.items():
|
||||
platform = create_platform(platform_name, platform_conf)
|
||||
if platform is None:
|
||||
continue
|
||||
|
||||
try:
|
||||
await platform.send(content, title, metadata)
|
||||
print(f"✅ 已推送到 {platform_name}")
|
||||
except Exception as e:
|
||||
print(f"❌ 推送到 {platform_name} 失败: {e}")
|
||||
@@ -0,0 +1,26 @@
|
||||
"""推送平台基类"""
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import Dict
|
||||
|
||||
|
||||
class PushPlatform(ABC):
|
||||
"""推送平台抽象基类"""
|
||||
|
||||
def __init__(self, config: Dict):
|
||||
self.config = config
|
||||
|
||||
@abstractmethod
|
||||
def validate_config(self, config: Dict) -> bool:
|
||||
"""验证配置是否有效"""
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
async def send(self, content: str, title: str = None, metadata: Dict = None):
|
||||
"""发送内容
|
||||
|
||||
Args:
|
||||
content: 正文内容
|
||||
title: 标题（可选，兼容旧接口）
|
||||
metadata: 元信息（可选，新增参数）
|
||||
"""
|
||||
pass
|
||||
@@ -0,0 +1,54 @@
|
||||
"""自定义 API 推送平台"""
|
||||
import os
|
||||
from typing import Dict, Optional
|
||||
import aiohttp
|
||||
from .base import PushPlatform
|
||||
|
||||
|
||||
class CustomPlatform(PushPlatform):
|
||||
"""自定义 API 推送平台"""
|
||||
|
||||
def validate_config(self, config: Dict) -> bool:
|
||||
"""验证配置"""
|
||||
if not config.get("enabled", False):
|
||||
return False
|
||||
|
||||
api_key_name = config.get("apiKeyName")
|
||||
token_key_name = config.get("tokenKeyName")
|
||||
|
||||
if not api_key_name or not token_key_name:
|
||||
print("❌ Custom 平台配置缺少 apiKeyName 或 tokenKeyName")
|
||||
return False
|
||||
|
||||
url = os.getenv(api_key_name)
|
||||
token = os.getenv(token_key_name)
|
||||
|
||||
if not url or not token:
|
||||
print(f"❌ 环境变量 {api_key_name} 或 {token_key_name} 未设置")
|
||||
return False
|
||||
|
||||
return True
|
||||
|
||||
async def send(self, content: str, title: str = None, metadata: Optional[Dict] = None):
|
||||
"""发送到自定义 API"""
|
||||
api_key_name = self.config.get("apiKeyName")
|
||||
token_key_name = self.config.get("tokenKeyName")
|
||||
|
||||
url = os.getenv(api_key_name)
|
||||
token = os.getenv(token_key_name)
|
||||
|
||||
payload = {
|
||||
"content": content,
|
||||
"metadata": metadata
|
||||
}
|
||||
|
||||
headers = {
|
||||
"Authorization": f"Bearer {token}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.post(url, json=payload, headers=headers) as resp:
|
||||
if resp.status != 200:
|
||||
error_text = await resp.text()
|
||||
raise Exception(f"API 返回错误 {resp.status}: {error_text}")
|
||||
@@ -0,0 +1,60 @@
|
||||
"""Discord推送平台"""
|
||||
|
||||
import os
|
||||
from typing import Dict
|
||||
|
||||
import aiohttp
|
||||
|
||||
from .base import PushPlatform
|
||||
|
||||
|
||||
class DiscordPlatform(PushPlatform):
|
||||
"""Discord Webhook推送"""
|
||||
|
||||
def __init__(self, config: Dict):
|
||||
super().__init__(config)
|
||||
self.api_key_name = config.get("apiKeyName", "DISCORD_WEBHOOK_URL")
|
||||
self.webhook_url = os.environ.get(self.api_key_name, "")
|
||||
|
||||
def validate_config(self, config: Dict) -> bool:
|
||||
"""检查Discord配置是否有效"""
|
||||
if not config.get("enabled", False):
|
||||
return False
|
||||
api_key_name = config.get("apiKeyName", "DISCORD_WEBHOOK_URL")
|
||||
webhook = os.environ.get(api_key_name, "")
|
||||
return bool(webhook and webhook.startswith("https://discord.com/api/webhooks/"))
|
||||
|
||||
async def send(self, content: str, title: str = None, metadata: Dict = None):
|
||||
"""发送到Discord（忽略 metadata）"""
|
||||
full_content = f"# {title}\n\n{content}" if title else content
|
||||
chunks = self._split_content(full_content, limit=2000)
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
for chunk in chunks:
|
||||
payload = {"content": chunk}
|
||||
async with session.post(self.webhook_url, json=payload) as resp:
|
||||
if resp.status != 204:
|
||||
text = await resp.text()
|
||||
raise RuntimeError(f"Discord推送失败: {resp.status} - {text}")
|
||||
|
||||
def _split_content(self, content: str, limit: int = 2000) -> list:
|
||||
"""Discord限制2000字符，需要分割"""
|
||||
if len(content) <= limit:
|
||||
return [content]
|
||||
|
||||
chunks = []
|
||||
lines = content.split("\n")
|
||||
current = ""
|
||||
|
||||
for line in lines:
|
||||
if len(current) + len(line) + 1 > limit:
|
||||
if current:
|
||||
chunks.append(current)
|
||||
current = line
|
||||
else:
|
||||
current += "\n" + line if current else line
|
||||
|
||||
if current:
|
||||
chunks.append(current)
|
||||
|
||||
return chunks
|
||||
@@ -0,0 +1,92 @@
|
||||
"""飞书推送平台"""
|
||||
|
||||
import os
|
||||
from typing import Dict
|
||||
|
||||
import aiohttp
|
||||
|
||||
from .base import PushPlatform
|
||||
|
||||
|
||||
class FeishuPlatform(PushPlatform):
|
||||
"""飞书 Webhook 推送"""
|
||||
|
||||
def __init__(self, config: Dict):
|
||||
super().__init__(config)
|
||||
self.api_key_name = config.get("apiKeyName", "FEISHU_WEBHOOK_URL")
|
||||
self.webhook_url = os.environ.get(self.api_key_name, "")
|
||||
|
||||
def validate_config(self, config: Dict) -> bool:
|
||||
"""检查飞书配置是否有效"""
|
||||
if not config.get("enabled", False):
|
||||
return False
|
||||
api_key_name = config.get("apiKeyName", "FEISHU_WEBHOOK_URL")
|
||||
webhook = os.environ.get(api_key_name, "")
|
||||
return bool(webhook)
|
||||
|
||||
async def send(self, content: str, title: str = None, metadata: Dict = None):
|
||||
"""发送到飞书（忽略 metadata）"""
|
||||
chunks = self._split_content(content, limit=8000)
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
for chunk in chunks:
|
||||
payload = self._build_payload(chunk, title)
|
||||
async with session.post(self.webhook_url, json=payload) as resp:
|
||||
if resp.status != 200:
|
||||
text = await resp.text()
|
||||
raise RuntimeError(f"飞书推送失败: {resp.status} - {text}")
|
||||
data = await resp.json()
|
||||
if data.get("code") != 0:
|
||||
raise RuntimeError(f"飞书推送失败: {data.get('msg')}")
|
||||
|
||||
def _build_payload(self, content: str, title: str = None) -> Dict:
|
||||
"""
|
||||
构建飞书卡片消息 payload，支持 Markdown，
|
||||
参考 https://open.feishu.cn/document/feishu-cards/card-json-v2-structure
|
||||
"""
|
||||
|
||||
header = {}
|
||||
if title:
|
||||
header = {
|
||||
"title": {"content": title, "tag": "plain_text"},
|
||||
"template": "blue",
|
||||
}
|
||||
|
||||
return {
|
||||
"msg_type": "interactive",
|
||||
"card": {
|
||||
"schema": "2.0", # 【重点1】显式声明使用 V2 版本结构
|
||||
"header": header,
|
||||
"body": { # 【重点2】V2 中，所有的内容元素都必须放在 body 里面
|
||||
"elements": [
|
||||
{
|
||||
"tag": "markdown",
|
||||
"content": content,
|
||||
"text_align": "left", # 可选：left / center / right
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
def _split_content(self, content: str, limit: int = 8000) -> list:
|
||||
"""飞书卡片消息 markdown 元素限制 8000 字符"""
|
||||
if len(content) <= limit:
|
||||
return [content]
|
||||
|
||||
chunks = []
|
||||
lines = content.split("\n")
|
||||
current = ""
|
||||
|
||||
for line in lines:
|
||||
if len(current) + len(line) + 1 > limit:
|
||||
if current:
|
||||
chunks.append(current)
|
||||
current = line
|
||||
else:
|
||||
current += "\n" + line if current else line
|
||||
|
||||
if current:
|
||||
chunks.append(current)
|
||||
|
||||
return chunks
|
||||
@@ -0,0 +1 @@
|
||||
"""板块模块包。每个子模块导出 run_<board>_section(config, now) -> (markdown, error)"""
|
||||
@@ -0,0 +1,111 @@
|
||||
"""GitHub REST API enrich:metadata + README → enriched repo dict
|
||||
|
||||
匿名调用受 60 req/hr 限,设置 GITHUB_TOKEN 环境变量后走 5000 req/hr。
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import base64
|
||||
import os
|
||||
from typing import Dict, List, Optional, Tuple
|
||||
|
||||
import aiohttp
|
||||
|
||||
API_BASE = "https://api.github.com"
|
||||
|
||||
|
||||
def _auth_headers(token_env: str = "GITHUB_TOKEN") -> Dict[str, str]:
|
||||
headers = {"Accept": "application/vnd.github+json"}
|
||||
token = os.environ.get(token_env)
|
||||
if token:
|
||||
headers["Authorization"] = f"Bearer {token}"
|
||||
print(f"🔑 GH: 已配置 {token_env},鉴权调用 (5000 req/hr)")
|
||||
else:
|
||||
print(f"⚠️ GH: 未配置 {token_env},匿名调用 (60 req/hr)")
|
||||
return headers
|
||||
|
||||
|
||||
async def _get_json(
|
||||
session: aiohttp.ClientSession, url: str, timeout: int = 10
|
||||
) -> Optional[Dict]:
|
||||
async with session.get(
|
||||
url, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status == 404:
|
||||
return None
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"GitHub API {resp.status} for {url}")
|
||||
return await resp.json()
|
||||
|
||||
|
||||
async def enrich_repo(
|
||||
session: aiohttp.ClientSession,
|
||||
repo: Dict,
|
||||
token_env: str = "GITHUB_TOKEN",
|
||||
readme_max_chars: int = 3000,
|
||||
timeout: int = 10,
|
||||
) -> Optional[Dict]:
|
||||
"""单 repo 双调用 enrich。返回 None 表示该 repo 应剔除(archived 或 metadata 不可达)。
|
||||
|
||||
任一调用失败 raise → 调用方按 return_exceptions 模式聚合错误。
|
||||
"""
|
||||
full_name = repo["full_name"]
|
||||
meta_url = f"{API_BASE}/repos/{full_name}"
|
||||
readme_url = f"{API_BASE}/repos/{full_name}/readme"
|
||||
|
||||
meta, readme = await asyncio.gather(
|
||||
_get_json(session, meta_url, timeout=timeout),
|
||||
_get_json(session, readme_url, timeout=timeout),
|
||||
)
|
||||
|
||||
if meta is None:
|
||||
return None
|
||||
if meta.get("archived"):
|
||||
return None
|
||||
|
||||
license_spdx = ""
|
||||
if isinstance(meta.get("license"), dict):
|
||||
license_spdx = meta["license"].get("spdx_id") or ""
|
||||
|
||||
readme_excerpt = ""
|
||||
if readme and readme.get("content"):
|
||||
try:
|
||||
raw = base64.b64decode(readme["content"]).decode("utf-8", errors="replace")
|
||||
readme_excerpt = raw[:readme_max_chars]
|
||||
except Exception:
|
||||
readme_excerpt = ""
|
||||
|
||||
return {
|
||||
**repo,
|
||||
"topics": meta.get("topics") or [],
|
||||
"license": license_spdx,
|
||||
"pushed_at": meta.get("pushed_at") or "",
|
||||
"readme_excerpt": readme_excerpt,
|
||||
}
|
||||
|
||||
|
||||
async def enrich_repos(
|
||||
candidates: List[Dict],
|
||||
token_env: str = "GITHUB_TOKEN",
|
||||
readme_max_chars: int = 3000,
|
||||
timeout: int = 10,
|
||||
) -> Tuple[List[Dict], List[str]]:
|
||||
"""并发 enrich 多个 repo。返回 (enriched_list_with_archived_filtered, errors)"""
|
||||
errors: List[str] = []
|
||||
headers = _auth_headers(token_env)
|
||||
|
||||
async with aiohttp.ClientSession(headers=headers) as session:
|
||||
results = await asyncio.gather(
|
||||
*[
|
||||
enrich_repo(session, r, token_env, readme_max_chars, timeout)
|
||||
for r in candidates
|
||||
],
|
||||
return_exceptions=True,
|
||||
)
|
||||
|
||||
enriched: List[Dict] = []
|
||||
for r, candidate in zip(results, candidates):
|
||||
if isinstance(r, Exception):
|
||||
errors.append(f"enrich {candidate['full_name']} 失败: {r}")
|
||||
elif r is not None:
|
||||
enriched.append(r)
|
||||
return enriched, errors
|
||||
@@ -0,0 +1,104 @@
|
||||
"""GitHub Trending 板块入口。
|
||||
|
||||
流程:trending 抓取 → history 过滤 → 候选写回 history → deep-dive → LLM 总结
|
||||
"""
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Dict, Optional, Tuple
|
||||
|
||||
from src.config import get_timezone
|
||||
from src.sections.github.repo_enricher import enrich_repos
|
||||
from src.sections.github.trending_scraper import (
|
||||
fetch_trending_page,
|
||||
parse_trending_html,
|
||||
)
|
||||
from src.storage import load_trending_history
|
||||
|
||||
|
||||
async def run_github_section(
|
||||
config: Dict, now: Optional[datetime] = None
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
cfg = config.get("sections", {}).get("github_trending", {})
|
||||
if not cfg.get("enabled", False):
|
||||
return "", None
|
||||
|
||||
# 延迟 import,Task 11 才提供 summarize_github_trending
|
||||
from src.llm import summarize_github_trending
|
||||
|
||||
today = (now or datetime.now(get_timezone())).date()
|
||||
keep_days = config["filter"]["keep_days"]
|
||||
timeout = cfg.get("request_timeout", 10)
|
||||
max_deep_dive = cfg.get("max_deep_dive", 10)
|
||||
readme_max_chars = cfg.get("readme_max_chars", 3000)
|
||||
history_path = cfg.get("history_file", "news-data/trending-history.json")
|
||||
token_env = cfg.get("tokenName", "GITHUB_TOKEN")
|
||||
|
||||
# 1. 抓取
|
||||
print("📥 GH: 抓取 trending 页...")
|
||||
try:
|
||||
html = await fetch_trending_page(timeout=timeout)
|
||||
except Exception as e:
|
||||
return "", f"GH 抓取失败: {e}"
|
||||
|
||||
all_repos = parse_trending_html(html)
|
||||
print(f"📋 GH: 解析 {len(all_repos)} 个 repo")
|
||||
if not all_repos:
|
||||
return "", None
|
||||
|
||||
# 2. history 加载 + 清理
|
||||
history = load_trending_history(history_path)
|
||||
before_cleanup = len(history.repos)
|
||||
history.cleanup(today=today, keep_days=keep_days)
|
||||
after_cleanup = len(history.repos)
|
||||
if before_cleanup != after_cleanup:
|
||||
print(
|
||||
f"🧹 GH: history 清理过期 {before_cleanup - after_cleanup} 条 (剩 {after_cleanup})"
|
||||
)
|
||||
|
||||
# 3. 候选筛选(按 spec §4.3 语义)
|
||||
candidates = []
|
||||
already_seen = 0
|
||||
for repo in all_repos:
|
||||
if repo["url"] in history:
|
||||
history.touch(repo["url"], today)
|
||||
already_seen += 1
|
||||
else:
|
||||
candidates.append(repo)
|
||||
print(f"🔍 GH: history 过滤掉 {already_seen} 条已见,新候选 {len(candidates)} 条")
|
||||
|
||||
if not candidates:
|
||||
print("ℹ️ GH: 无新候选,跳过")
|
||||
return "", None
|
||||
if len(candidates) > max_deep_dive:
|
||||
print(f"✂️ GH: 候选 {len(candidates)} 超 max_deep_dive={max_deep_dive},截断")
|
||||
candidates = candidates[:max_deep_dive]
|
||||
|
||||
# 4. 候选写回 history + 持久化
|
||||
for repo in candidates:
|
||||
history.touch(repo["url"], today)
|
||||
history.save()
|
||||
|
||||
# 5. 并发 enrich
|
||||
print(f"🌐 GH: 并发 enrich {len(candidates)} 个 repo (REST API)...")
|
||||
enriched, enrich_errors = await enrich_repos(
|
||||
candidates,
|
||||
token_env=token_env,
|
||||
readme_max_chars=readme_max_chars,
|
||||
timeout=timeout,
|
||||
)
|
||||
for e in enrich_errors:
|
||||
print(f"⚠️ GH enrich: {e}")
|
||||
print(
|
||||
f"✅ GH: enrich 成功 {len(enriched)} / 失败 {len(enrich_errors)} / "
|
||||
f"输入 {len(candidates)}"
|
||||
)
|
||||
if not enriched:
|
||||
return "", None
|
||||
|
||||
# 6. LLM 总结
|
||||
print(f"🤖 GH: summarize {len(enriched)} 个候选...")
|
||||
md, err = await summarize_github_trending(enriched, config["llm"])
|
||||
if err:
|
||||
return "", f"summarize_github_trending: {err}"
|
||||
print(f"✅ GH: 板块输出 {len(md or '')} chars")
|
||||
return md or "", None
|
||||
@@ -0,0 +1,98 @@
|
||||
"""GitHub Trending 单页 HTML 抓取与解析。
|
||||
|
||||
数据源: https://github.com/trending (无 language / since 过滤)
|
||||
"""
|
||||
|
||||
import re
|
||||
from typing import Dict, List
|
||||
|
||||
import aiohttp
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
TRENDING_URL = "https://github.com/trending"
|
||||
USER_AGENT = (
|
||||
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
|
||||
"(KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
_NUM_RE = re.compile(r"[\d,]+")
|
||||
|
||||
|
||||
def _parse_int(s: str) -> int:
|
||||
m = _NUM_RE.search(s or "")
|
||||
if not m:
|
||||
return 0
|
||||
return int(m.group(0).replace(",", ""))
|
||||
|
||||
|
||||
async def fetch_trending_page(timeout: int = 10) -> str:
|
||||
"""抓取 trending 页 HTML;非 200 抛 RuntimeError"""
|
||||
async with aiohttp.ClientSession(
|
||||
headers={"User-Agent": USER_AGENT}
|
||||
) as session:
|
||||
async with session.get(
|
||||
TRENDING_URL, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
text = await resp.text()
|
||||
raise RuntimeError(
|
||||
f"GitHub trending 返回 {resp.status}: {text[:200]}"
|
||||
)
|
||||
return await resp.text()
|
||||
|
||||
|
||||
def parse_trending_html(html: str) -> List[Dict]:
|
||||
"""解析 trending HTML,返回去重后的 repo 字典数组。"""
|
||||
if not html:
|
||||
return []
|
||||
|
||||
soup = BeautifulSoup(html, "html.parser")
|
||||
seen_urls = set()
|
||||
repos: List[Dict] = []
|
||||
|
||||
for article in soup.select("article.Box-row"):
|
||||
h2 = article.find("h2")
|
||||
a = h2.find("a") if h2 else None
|
||||
if not a or not a.get("href"):
|
||||
continue
|
||||
|
||||
href = a["href"].strip()
|
||||
full_name = href.lstrip("/")
|
||||
url = f"https://github.com/{full_name}"
|
||||
if url in seen_urls:
|
||||
continue
|
||||
seen_urls.add(url)
|
||||
|
||||
# description
|
||||
desc_tag = article.find("p")
|
||||
description = (desc_tag.get_text(strip=True) if desc_tag else "") or ""
|
||||
|
||||
# language
|
||||
lang_tag = article.find("span", attrs={"itemprop": "programmingLanguage"})
|
||||
language = (lang_tag.get_text(strip=True) if lang_tag else "") or ""
|
||||
|
||||
# stars_total: 第一个指向 /stargazers 的链接
|
||||
stars_total = 0
|
||||
star_a = article.find("a", href=re.compile(r"/stargazers$"))
|
||||
if star_a:
|
||||
stars_total = _parse_int(star_a.get_text(strip=True))
|
||||
|
||||
# stars_today: 末尾的 "N stars today" span
|
||||
stars_today = 0
|
||||
for span in article.find_all("span"):
|
||||
t = span.get_text(strip=True)
|
||||
if "stars today" in t or "stars this week" in t or "stars this month" in t:
|
||||
stars_today = _parse_int(t)
|
||||
break
|
||||
|
||||
repos.append(
|
||||
{
|
||||
"url": url,
|
||||
"full_name": full_name,
|
||||
"description": description,
|
||||
"language": language,
|
||||
"stars_today": stars_today,
|
||||
"stars_total": stars_total,
|
||||
}
|
||||
)
|
||||
|
||||
return repos
|
||||
@@ -0,0 +1,91 @@
|
||||
"""HN 首页 HTML 抓取与解析。
|
||||
|
||||
数据源: https://news.ycombinator.com/news (30 条)
|
||||
"""
|
||||
|
||||
import re
|
||||
from typing import Dict, List
|
||||
|
||||
import aiohttp
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
FRONTPAGE_URL = "https://news.ycombinator.com/news"
|
||||
USER_AGENT = (
|
||||
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
|
||||
"(KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
_NUM_RE = re.compile(r"\d+")
|
||||
|
||||
|
||||
def _first_int(text: str) -> int:
|
||||
m = _NUM_RE.search(text or "")
|
||||
return int(m.group(0)) if m else 0
|
||||
|
||||
|
||||
async def fetch_frontpage(timeout: int = 10) -> str:
|
||||
async with aiohttp.ClientSession(headers={"User-Agent": USER_AGENT}) as session:
|
||||
async with session.get(
|
||||
FRONTPAGE_URL, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"HN frontpage 返回 {resp.status}")
|
||||
return await resp.text()
|
||||
|
||||
|
||||
def parse_frontpage_html(html: str) -> List[Dict]:
|
||||
"""解析首页 HTML,返回 [{id, title, url, site, points, comments, comments_url}]
|
||||
|
||||
注:HN frontpage 的 athing 行的实际 class 是 'athing submission' (多类),
|
||||
用 CSS 选择器 'tr.athing' 仍然匹配。
|
||||
"""
|
||||
if not html:
|
||||
return []
|
||||
soup = BeautifulSoup(html, "html.parser")
|
||||
stories: List[Dict] = []
|
||||
|
||||
for athing in soup.select("tr.athing"):
|
||||
item_id = athing.get("id")
|
||||
if not item_id:
|
||||
continue
|
||||
|
||||
title_a = athing.select_one("span.titleline > a")
|
||||
if not title_a:
|
||||
continue
|
||||
title = title_a.get_text(strip=True)
|
||||
href = title_a.get("href", "")
|
||||
if href.startswith("item?id="):
|
||||
url = f"https://news.ycombinator.com/{href}"
|
||||
site = ""
|
||||
else:
|
||||
url = href
|
||||
site_tag = athing.select_one("span.sitestr")
|
||||
site = site_tag.get_text(strip=True) if site_tag else ""
|
||||
|
||||
sub_tr = athing.find_next_sibling("tr")
|
||||
points = 0
|
||||
comments = 0
|
||||
comments_url = f"https://news.ycombinator.com/item?id={item_id}"
|
||||
if sub_tr:
|
||||
score = sub_tr.select_one("span.score")
|
||||
if score:
|
||||
points = _first_int(score.get_text(strip=True))
|
||||
comment_a = None
|
||||
for a in sub_tr.find_all("a", href=re.compile(r"^item\?id=")):
|
||||
comment_a = a
|
||||
if comment_a:
|
||||
comments = _first_int(comment_a.get_text(strip=True))
|
||||
comments_url = f"https://news.ycombinator.com/{comment_a['href']}"
|
||||
|
||||
stories.append(
|
||||
{
|
||||
"id": item_id,
|
||||
"title": title,
|
||||
"url": url,
|
||||
"site": site,
|
||||
"points": points,
|
||||
"comments": comments,
|
||||
"comments_url": comments_url,
|
||||
}
|
||||
)
|
||||
|
||||
return stories
|
||||
@@ -0,0 +1,237 @@
|
||||
"""HN 单 story enrich:Algolia 评论树 + 外链正文。
|
||||
|
||||
Algolia API: GET /api/v1/items/{id}
|
||||
- root.text 是 Show HN / Ask HN 的 post 正文
|
||||
- root.children[] 是顶层评论(按 HN ranking 排序)
|
||||
- 每条 child 自己还有 children[],承载嵌套回复
|
||||
|
||||
enrich 策略:取 L1 + 每个 L1 下前 N 条 L2 回复,合并为 tree JSON:
|
||||
[{"l1": "顶层评论", "replies": ["回复 1", "回复 2"]}, ...]
|
||||
|
||||
外链正文优先走 Jina Reader (https://r.jina.ai/<url>, 返回 markdown),
|
||||
失败回退到直接 GET + html_to_markdown。Jina API key 可选(配置后免费额度更高),
|
||||
环境变量名通过 `sections.hackernews.jinaTokenName` 配置(默认 JINA_API_KEY)。
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
from typing import Dict, List, Optional, Tuple
|
||||
|
||||
import aiohttp
|
||||
|
||||
from src.processor import html_to_markdown
|
||||
|
||||
USER_AGENT = (
|
||||
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 "
|
||||
"(KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
|
||||
)
|
||||
|
||||
JINA_READER_BASE = "https://r.jina.ai"
|
||||
|
||||
|
||||
def _is_internal_hn_url(url: str) -> bool:
|
||||
return url.startswith("https://news.ycombinator.com/item?id=")
|
||||
|
||||
|
||||
async def _fetch_algolia_item(
|
||||
session: aiohttp.ClientSession, item_id: str, algolia_base: str, timeout: int
|
||||
) -> Dict:
|
||||
url = f"{algolia_base}/items/{item_id}"
|
||||
async with session.get(
|
||||
url, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"Algolia /items/{item_id} 返回 {resp.status}")
|
||||
return await resp.json()
|
||||
|
||||
|
||||
async def _fetch_url_html(
|
||||
session: aiohttp.ClientSession, url: str, timeout: int
|
||||
) -> str:
|
||||
async with session.get(
|
||||
url, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"外链 {url} 返回 {resp.status}")
|
||||
return await resp.text()
|
||||
|
||||
|
||||
async def _fetch_via_jina(
|
||||
session: aiohttp.ClientSession,
|
||||
url: str,
|
||||
timeout: int,
|
||||
jina_token_env: str = "JINA_API_KEY",
|
||||
) -> str:
|
||||
"""通过 Jina Reader 拉取外链 markdown。`jina_token_env` 指定 API key 环境变量名,配置后免费额度更高。"""
|
||||
jina_url = f"{JINA_READER_BASE}/{url}"
|
||||
headers = {"Accept": "text/markdown"}
|
||||
api_key = os.environ.get(jina_token_env) if jina_token_env else None
|
||||
if api_key:
|
||||
headers["Authorization"] = f"Bearer {api_key}"
|
||||
async with session.get(
|
||||
jina_url, headers=headers, timeout=aiohttp.ClientTimeout(total=timeout)
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"Jina Reader {url} 返回 {resp.status}")
|
||||
return await resp.text()
|
||||
|
||||
|
||||
async def _fetch_external_markdown(
|
||||
session: aiohttp.ClientSession,
|
||||
url: str,
|
||||
timeout: int,
|
||||
jina_token_env: str = "JINA_API_KEY",
|
||||
) -> str:
|
||||
"""获取外链正文 markdown:先走 Jina Reader,失败回退到直接 GET + html_to_markdown。"""
|
||||
try:
|
||||
return await _fetch_via_jina(session, url, timeout, jina_token_env=jina_token_env)
|
||||
except Exception:
|
||||
html = await _fetch_url_html(session, url, timeout)
|
||||
return html_to_markdown(html, base_url=url)
|
||||
|
||||
|
||||
def _collect_comments_tree(
|
||||
root: Dict,
|
||||
top_comments: int,
|
||||
top_l2_per_l1: int,
|
||||
comment_max_chars: int,
|
||||
comments_total_chars: int,
|
||||
) -> List[Dict]:
|
||||
"""从 Algolia 根节点提取评论树,返回 [{l1, replies}]。
|
||||
|
||||
规则:
|
||||
- L1 上限 `top_comments`,每个 L1 下取前 `top_l2_per_l1` 条 L2 作为 replies
|
||||
- 每条 text 过 html_to_markdown,单条截断到 `comment_max_chars`
|
||||
- 累计字符达 `comments_total_chars` 时立即停止(防离群 story 撑爆 prompt)
|
||||
- 跳过空 text;空 replies 仍保留 `replies: []`,schema 一致
|
||||
"""
|
||||
out: List[Dict] = []
|
||||
consumed = 0
|
||||
l1_children = (root.get("children") or [])[:top_comments]
|
||||
for l1 in l1_children:
|
||||
if consumed >= comments_total_chars:
|
||||
break
|
||||
l1_raw = (l1 or {}).get("text") or ""
|
||||
if not l1_raw:
|
||||
continue
|
||||
l1_md = html_to_markdown(l1_raw)[:comment_max_chars]
|
||||
consumed += len(l1_md)
|
||||
replies: List[str] = []
|
||||
for l2 in ((l1 or {}).get("children") or [])[:top_l2_per_l1]:
|
||||
if consumed >= comments_total_chars:
|
||||
break
|
||||
l2_raw = (l2 or {}).get("text") or ""
|
||||
if not l2_raw:
|
||||
continue
|
||||
l2_md = html_to_markdown(l2_raw)[:comment_max_chars]
|
||||
consumed += len(l2_md)
|
||||
replies.append(l2_md)
|
||||
out.append({"l1": l1_md, "replies": replies})
|
||||
return out
|
||||
|
||||
|
||||
async def enrich_story(
|
||||
session: aiohttp.ClientSession,
|
||||
story: Dict,
|
||||
top_comments: int,
|
||||
top_l2_per_l1: int,
|
||||
comment_max_chars: int,
|
||||
comments_total_chars: int,
|
||||
link_content_max_chars: int,
|
||||
algolia_base: str,
|
||||
timeout: int,
|
||||
jina_token_env: str = "JINA_API_KEY",
|
||||
) -> Dict:
|
||||
"""对单 story enrich。任一子任务失败 → 对应字段留空,不抛。"""
|
||||
item_id = story["id"]
|
||||
is_internal = _is_internal_hn_url(story["url"])
|
||||
|
||||
tasks = [
|
||||
_fetch_algolia_item(
|
||||
session, item_id, algolia_base=algolia_base, timeout=timeout
|
||||
)
|
||||
]
|
||||
if not is_internal:
|
||||
tasks.append(
|
||||
_fetch_external_markdown(
|
||||
session, story["url"], timeout=timeout, jina_token_env=jina_token_env
|
||||
)
|
||||
)
|
||||
|
||||
results = await asyncio.gather(*tasks, return_exceptions=True)
|
||||
algolia_result = results[0]
|
||||
external_markdown_result = results[1] if not is_internal else None
|
||||
|
||||
comments_tree: List[Dict] = []
|
||||
post_text = ""
|
||||
if not isinstance(algolia_result, Exception) and algolia_result:
|
||||
post_text = algolia_result.get("text") or ""
|
||||
comments_tree = _collect_comments_tree(
|
||||
algolia_result,
|
||||
top_comments=top_comments,
|
||||
top_l2_per_l1=top_l2_per_l1,
|
||||
comment_max_chars=comment_max_chars,
|
||||
comments_total_chars=comments_total_chars,
|
||||
)
|
||||
|
||||
link_content = ""
|
||||
if is_internal:
|
||||
if post_text:
|
||||
link_content = html_to_markdown(post_text)[:link_content_max_chars]
|
||||
else:
|
||||
if (
|
||||
not isinstance(external_markdown_result, Exception)
|
||||
and external_markdown_result
|
||||
):
|
||||
link_content = external_markdown_result[:link_content_max_chars]
|
||||
|
||||
return {
|
||||
**story,
|
||||
"link_content": link_content,
|
||||
"top_comments": comments_tree,
|
||||
}
|
||||
|
||||
|
||||
async def enrich_stories(
|
||||
stories: List[Dict],
|
||||
top_comments: int,
|
||||
top_l2_per_l1: int,
|
||||
comment_max_chars: int,
|
||||
comments_total_chars: int,
|
||||
link_content_max_chars: int,
|
||||
algolia_base: str = "https://hn.algolia.com/api/v1",
|
||||
timeout: int = 10,
|
||||
jina_token_env: str = "JINA_API_KEY",
|
||||
) -> Tuple[List[Dict], List[str]]:
|
||||
"""并发 enrich 多个 stories。"""
|
||||
errors: List[str] = []
|
||||
if os.environ.get(jina_token_env):
|
||||
print(f"🔑 HN: 已配置 {jina_token_env},Jina Reader 鉴权调用")
|
||||
else:
|
||||
print(f"⚠️ HN: 未配置 {jina_token_env},Jina Reader 匿名调用 (额度受限)")
|
||||
async with aiohttp.ClientSession(headers={"User-Agent": USER_AGENT}) as session:
|
||||
results = await asyncio.gather(
|
||||
*[
|
||||
enrich_story(
|
||||
session,
|
||||
s,
|
||||
top_comments=top_comments,
|
||||
top_l2_per_l1=top_l2_per_l1,
|
||||
comment_max_chars=comment_max_chars,
|
||||
comments_total_chars=comments_total_chars,
|
||||
link_content_max_chars=link_content_max_chars,
|
||||
algolia_base=algolia_base,
|
||||
timeout=timeout,
|
||||
jina_token_env=jina_token_env,
|
||||
)
|
||||
for s in stories
|
||||
],
|
||||
return_exceptions=True,
|
||||
)
|
||||
enriched: List[Dict] = []
|
||||
for r, src in zip(results, stories):
|
||||
if isinstance(r, Exception):
|
||||
errors.append(f"enrich story {src['id']} 失败: {r}")
|
||||
else:
|
||||
enriched.append(r)
|
||||
return enriched, errors
|
||||
@@ -0,0 +1,90 @@
|
||||
"""HN 板块入口。流程:首页 → 轻 LLM 选 K → enrich → 最终 LLM 行文"""
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Dict, Optional, Tuple
|
||||
|
||||
from src.sections.hackernews.frontpage_scraper import (
|
||||
fetch_frontpage,
|
||||
parse_frontpage_html,
|
||||
)
|
||||
from src.sections.hackernews.item_enricher import enrich_stories
|
||||
|
||||
|
||||
async def run_hackernews_section(
|
||||
config: Dict, now: Optional[datetime] = None
|
||||
) -> Tuple[str, Optional[str]]:
|
||||
cfg = config.get("sections", {}).get("hackernews", {})
|
||||
if not cfg.get("enabled", False):
|
||||
return "", None
|
||||
|
||||
# 延迟 import (Task 16 提供这两个函数)
|
||||
from src.llm import select_ai_related_hn, summarize_hackernews
|
||||
|
||||
timeout = cfg.get("request_timeout", 10)
|
||||
select_k = cfg.get("select_k", 1)
|
||||
top_comments = cfg.get("top_comments", 30)
|
||||
top_l2_per_l1 = cfg.get("top_l2_per_l1", 3)
|
||||
comment_max_chars = cfg.get("comment_max_chars", 2000)
|
||||
comments_total_chars = cfg.get("comments_total_chars", 60000)
|
||||
link_content_max_chars = cfg.get("link_content_max_chars", 50000)
|
||||
algolia_base = cfg.get("algolia_base", "https://hn.algolia.com/api/v1")
|
||||
jina_token_env = cfg.get("jinaTokenName", "JINA_API_KEY")
|
||||
|
||||
# 1. 抓首页
|
||||
print("📥 HN: 抓取首页...")
|
||||
try:
|
||||
html = await fetch_frontpage(timeout=timeout)
|
||||
except Exception as e:
|
||||
return "", f"HN 首页抓取失败: {e}"
|
||||
|
||||
front = parse_frontpage_html(html)
|
||||
print(f"📋 HN: 解析 {len(front)} 条 frontpage stories")
|
||||
if not front:
|
||||
return "", None
|
||||
|
||||
# 2. 轻 LLM 初筛
|
||||
print(f"🤖 HN: 轻 LLM 初筛 (k={select_k})...")
|
||||
selected_ids, select_err = await select_ai_related_hn(front, k=select_k, config=config["llm"])
|
||||
if select_err:
|
||||
return "", f"select_ai_related_hn: {select_err}"
|
||||
if not selected_ids:
|
||||
print("ℹ️ HN: 初筛未挑出 AI 相关内容,跳过")
|
||||
return "", None
|
||||
|
||||
selected = [s for s in front if s["id"] in set(selected_ids)]
|
||||
if not selected:
|
||||
return "", None
|
||||
print(
|
||||
f"🎯 HN: 初筛选出 {len(selected)} 个: "
|
||||
f"{', '.join(s['id'] for s in selected)}"
|
||||
)
|
||||
|
||||
# 3. enrich
|
||||
print(f"🌐 HN: enrich {len(selected)} 个 story (Algolia + 外链)...")
|
||||
enriched, enrich_errors = await enrich_stories(
|
||||
selected,
|
||||
top_comments=top_comments,
|
||||
top_l2_per_l1=top_l2_per_l1,
|
||||
comment_max_chars=comment_max_chars,
|
||||
comments_total_chars=comments_total_chars,
|
||||
link_content_max_chars=link_content_max_chars,
|
||||
algolia_base=algolia_base,
|
||||
timeout=timeout,
|
||||
jina_token_env=jina_token_env,
|
||||
)
|
||||
for e in enrich_errors:
|
||||
print(f"⚠️ HN enrich: {e}")
|
||||
print(
|
||||
f"✅ HN: enrich 成功 {len(enriched)} / 失败 {len(enrich_errors)} / "
|
||||
f"输入 {len(selected)}"
|
||||
)
|
||||
if not enriched:
|
||||
return "", None
|
||||
|
||||
# 4. LLM 总结
|
||||
print(f"🤖 HN: summarize {len(enriched)} 个 enriched story...")
|
||||
md, err = await summarize_hackernews(enriched, config["llm"])
|
||||
if err:
|
||||
return "", f"summarize_hackernews: {err}"
|
||||
print(f"✅ HN: 板块输出 {len(md or '')} chars")
|
||||
return md or "", None
|
||||
@@ -0,0 +1,37 @@
|
||||
"""Insights 板块:基于 RSS/GH/HN 三段成品做跨板块小结"""
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Dict, Optional, Tuple
|
||||
|
||||
EMPTY_MARKER = "(本次无内容)"
|
||||
|
||||
|
||||
async def run_insights_section(
|
||||
rss_md: str,
|
||||
gh_md: str,
|
||||
hn_md: str,
|
||||
config: Dict,
|
||||
now: Optional[datetime] = None,
|
||||
) -> Tuple[str, Optional[Dict], Optional[str]]:
|
||||
cfg = config.get("sections", {}).get("insights", {})
|
||||
if not cfg.get("enabled", False):
|
||||
return "", None, None
|
||||
|
||||
from src.llm import generate_trend_insights, parse_insights_with_metadata
|
||||
|
||||
sections = {
|
||||
"rss": rss_md or EMPTY_MARKER,
|
||||
"github": gh_md or EMPTY_MARKER,
|
||||
"hackernews": hn_md or EMPTY_MARKER,
|
||||
}
|
||||
|
||||
md, err = await generate_trend_insights(sections, config["llm"])
|
||||
if err:
|
||||
return "", None, f"generate_trend_insights: {err}"
|
||||
|
||||
if now is None:
|
||||
now = datetime.now()
|
||||
date_str = now.strftime("%Y-%m-%d")
|
||||
insights_md, metadata = parse_insights_with_metadata(md or "", date_str)
|
||||
|
||||
return insights_md, metadata, None
|
||||
@@ -0,0 +1,3 @@
|
||||
from src.sections.rss.section import run_rss_section
|
||||
|
||||
__all__ = ["run_rss_section"]
|
||||
@@ -0,0 +1,62 @@
|
||||
"""RSS 板块:沿用现有 collect_entries_for_push + compose_digest 流程
|
||||
|
||||
迁移自 src/main.py::run_push_job 中 RSS digest 部分,行为保持一致。
|
||||
"""
|
||||
|
||||
from datetime import datetime
|
||||
from typing import Dict, Optional, Tuple
|
||||
|
||||
from src.llm import compose_digest, parse_digest_with_metadata
|
||||
from src.storage import (
|
||||
extract_push_time,
|
||||
get_last_push_file,
|
||||
load_recent_push_content,
|
||||
)
|
||||
|
||||
|
||||
async def run_rss_section(
|
||||
config: Dict, now: Optional[datetime] = None
|
||||
) -> Tuple[str, Optional[Dict], Optional[str]]:
|
||||
"""生成 RSS digest markdown 段(不含 sentinel)。
|
||||
|
||||
返回:
|
||||
(markdown_body, metadata, error)
|
||||
- 无新内容时返回 ("", None, None)
|
||||
- compose_digest 失败时返回 ("", None, error_message)
|
||||
- metadata 字段:title / lead / highlights / profile=default / date
|
||||
早报场景下调用方可丢弃 metadata(由 insights 段覆盖)
|
||||
"""
|
||||
# 延迟 import 避免循环:Task 20-21 后 main.py 会反向 import run_rss_section
|
||||
from src.main import collect_entries_for_push
|
||||
|
||||
last_push_file = get_last_push_file()
|
||||
last_push_time = extract_push_time(last_push_file) if last_push_file else None
|
||||
|
||||
min_score = config["filter"]["min_score"]
|
||||
context_days = config["filter"]["context_days"]
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=last_push_time,
|
||||
context_days=context_days,
|
||||
min_score=min_score,
|
||||
)
|
||||
|
||||
if not to_push:
|
||||
print("ℹ️ RSS: 无新消息")
|
||||
return "", None, None
|
||||
|
||||
push_context_days = config["filter"].get("push_context_days", 5)
|
||||
recent = load_recent_push_content(push_context_days)
|
||||
|
||||
try:
|
||||
raw = await compose_digest(
|
||||
to_push, context, config["llm"], recent_push_context=recent
|
||||
)
|
||||
except Exception as e:
|
||||
msg = f"compose_digest 失败: {e}"
|
||||
print(f"⚠️ RSS: {msg}")
|
||||
return "", None, msg
|
||||
|
||||
date_str = (now or datetime.now()).strftime("%Y-%m-%d")
|
||||
body, metadata = parse_digest_with_metadata(raw or "", date_str)
|
||||
return body, metadata, None
|
||||
@@ -0,0 +1,546 @@
|
||||
"""数据存储模块 - JSON文件读写"""
|
||||
|
||||
import json
|
||||
import re
|
||||
from datetime import date, datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Optional
|
||||
|
||||
from src.config import get_timezone
|
||||
from src.markdown_utils import dump_frontmatter, parse_frontmatter
|
||||
|
||||
|
||||
def get_fetch_file(d: date = None, data_dir: str = "news-data") -> str:
|
||||
"""获取fetch文件路径 (使用配置时区)"""
|
||||
if d is None:
|
||||
d = datetime.now(get_timezone()).date()
|
||||
return f"{data_dir}/fetch-{d.isoformat()}.json"
|
||||
|
||||
|
||||
def get_push_file(push_time: datetime = None, data_dir: str = "news-data") -> str:
|
||||
"""生成push文件路径"""
|
||||
if push_time is None:
|
||||
push_time = datetime.now(get_timezone())
|
||||
time_str = push_time.strftime("%Y-%m-%d-%H-%M-%S")
|
||||
return f"{data_dir}/push-{time_str}.md"
|
||||
|
||||
|
||||
def get_notify_file(d: date = None, data_dir: str = "news-data") -> str:
|
||||
"""获取notify文件路径 (使用配置时区)"""
|
||||
if d is None:
|
||||
d = datetime.now(get_timezone()).date()
|
||||
return f"{data_dir}/notify-{d.isoformat()}.md"
|
||||
|
||||
|
||||
def save_notify_file(
|
||||
filepath: str,
|
||||
content: str,
|
||||
metadata: Dict = None,
|
||||
):
|
||||
"""保存即时推送文件（Markdown格式），同一天的内容追加到同一文件"""
|
||||
path = Path(filepath)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
notify_time = datetime.now(get_timezone()).isoformat()
|
||||
|
||||
if metadata:
|
||||
frontmatter_dict = metadata.copy()
|
||||
else:
|
||||
frontmatter_dict = {"pushTime": notify_time}
|
||||
|
||||
frontmatter = dump_frontmatter(frontmatter_dict)
|
||||
|
||||
new_content = f"---\n{frontmatter}---\n\n{content}\n\n------\n"
|
||||
|
||||
with open(path, "a", encoding="utf-8") as f:
|
||||
f.write(new_content)
|
||||
|
||||
|
||||
_SECTION_RE_CACHE: Dict[str, re.Pattern] = {}
|
||||
|
||||
|
||||
def _section_re(section: str) -> re.Pattern:
|
||||
"""获取/缓存 sentinel 正则。section 名做转义,允许字母数字下划线"""
|
||||
if section not in _SECTION_RE_CACHE:
|
||||
s = re.escape(section)
|
||||
pattern = (
|
||||
rf"<!--\s*SECTION:{s}\s*BEGIN\s*-->(.*?)<!--\s*SECTION:{s}\s*END\s*-->"
|
||||
)
|
||||
_SECTION_RE_CACHE[section] = re.compile(pattern, flags=re.DOTALL)
|
||||
return _SECTION_RE_CACHE[section]
|
||||
|
||||
|
||||
def extract_section(push_md: str, section: str) -> str:
|
||||
"""从 push 文件内容中切出 <!-- SECTION:{section} BEGIN/END --> 之间的 markdown。
|
||||
|
||||
向后兼容:
|
||||
- 新文件(带 sentinel): 返回 sentinel 边界内的原文(不去边界空行)
|
||||
- 老文件(无 sentinel) 且 section == 'rss': 返回整个 push_md
|
||||
- 老文件(无 sentinel) 且 section != 'rss': 返回空字符串
|
||||
- sentinel 残缺(只有 BEGIN 没有 END): 返回空字符串
|
||||
"""
|
||||
match = _section_re(section).search(push_md)
|
||||
if match:
|
||||
return match.group(1)
|
||||
|
||||
# 老文件兜底:rss 段视为整个 body
|
||||
has_any_sentinel = "<!-- SECTION:" in push_md
|
||||
if section == "rss" and not has_any_sentinel:
|
||||
return push_md
|
||||
return ""
|
||||
|
||||
|
||||
def load_recent_notify_content(
|
||||
context_days: int = 3, data_dir: str = "news-data"
|
||||
) -> str:
|
||||
"""加载最近 context_days 天 notify 文件正文（去除 frontmatter，仅供 LLM 查重）
|
||||
|
||||
notify 文件由多个推送块用 `------` 分隔，每块带各自 frontmatter；这里逐块剥离
|
||||
frontmatter 后用 `------` 重新拼接，保留事件全文。
|
||||
"""
|
||||
data_path = Path(data_dir)
|
||||
if not data_path.exists():
|
||||
return ""
|
||||
|
||||
tz = get_timezone()
|
||||
today = datetime.now(tz).date()
|
||||
|
||||
blocks: List[str] = []
|
||||
loaded_files = []
|
||||
for i in range(context_days):
|
||||
d = today - timedelta(days=i)
|
||||
notify_file = data_path / f"notify-{d.isoformat()}.md"
|
||||
if not notify_file.exists() or notify_file.stat().st_size == 0:
|
||||
continue
|
||||
try:
|
||||
with open(notify_file, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
except Exception:
|
||||
continue
|
||||
for block in content.split("------"):
|
||||
if not block.strip():
|
||||
continue
|
||||
_, body = parse_frontmatter(block)
|
||||
if body:
|
||||
blocks.append(body)
|
||||
loaded_files.append(notify_file.name)
|
||||
|
||||
if loaded_files:
|
||||
print(
|
||||
f" 📂 已加载 {len(loaded_files)} 个 notify 文件: {', '.join(loaded_files)}"
|
||||
)
|
||||
|
||||
return "\n\n------\n\n".join(blocks)
|
||||
|
||||
|
||||
def load_recent_push_content(
|
||||
context_days: int = 3, data_dir: str = "news-data", section: str = "rss"
|
||||
) -> str:
|
||||
"""加载最近 context_days 天 push 文件中指定 section 的正文(去除 frontmatter,仅供 LLM 查重)。
|
||||
|
||||
Args:
|
||||
section: sentinel 段名,默认 "rss"。老文件(无 sentinel) 且 section == "rss"
|
||||
时会兜底返回整个 body(由 extract_section 处理),其它 section 在
|
||||
老文件上返回空。
|
||||
"""
|
||||
data_path = Path(data_dir)
|
||||
if not data_path.exists():
|
||||
return ""
|
||||
|
||||
tz = get_timezone()
|
||||
today = datetime.now(tz).date()
|
||||
|
||||
bodies: List[str] = []
|
||||
loaded_files = []
|
||||
for i in range(context_days):
|
||||
d = today - timedelta(days=i)
|
||||
pattern = f"push-{d.isoformat()}-*.md"
|
||||
for push_file in sorted(data_path.glob(pattern)):
|
||||
if push_file.stat().st_size == 0:
|
||||
continue
|
||||
try:
|
||||
with open(push_file, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
except Exception:
|
||||
continue
|
||||
section_md = extract_section(content, section)
|
||||
if not section_md:
|
||||
continue
|
||||
# 老文件兜底路径会把整篇文件还回来,此时仍需剥离 frontmatter;
|
||||
# 新文件 sentinel 内不含 frontmatter,parse_frontmatter 会原样返回。
|
||||
_, body = parse_frontmatter(section_md)
|
||||
body = body or section_md
|
||||
body = body.strip()
|
||||
if body:
|
||||
bodies.append(body)
|
||||
loaded_files.append(push_file.name)
|
||||
|
||||
if loaded_files:
|
||||
print(
|
||||
f" 📂 已加载 {len(loaded_files)} 个 push 文件 (section={section}): "
|
||||
f"{', '.join(loaded_files)}"
|
||||
)
|
||||
|
||||
return "\n\n------\n\n".join(bodies)
|
||||
|
||||
|
||||
def get_last_push_file(data_dir: str = "news-data") -> Optional[str]:
|
||||
"""从news-data目录找到最新的push文件"""
|
||||
data_path = Path(data_dir)
|
||||
if not data_path.exists():
|
||||
return None
|
||||
|
||||
push_files = sorted(data_path.glob("push-*.md"))
|
||||
return str(push_files[-1]) if push_files else None
|
||||
|
||||
|
||||
def extract_push_time(filepath: str) -> Optional[datetime]:
|
||||
"""从push文件名提取时间"""
|
||||
try:
|
||||
basename = Path(filepath).name
|
||||
time_str = basename.replace("push-", "").replace(".md", "")
|
||||
dt = datetime.strptime(time_str, "%Y-%m-%d-%H-%M-%S")
|
||||
return dt.replace(tzinfo=get_timezone())
|
||||
except (ValueError, AttributeError):
|
||||
return None
|
||||
|
||||
|
||||
def read_entries(filepath: str) -> List[Dict]:
|
||||
"""读取fetch文件，返回entries列表"""
|
||||
path = Path(filepath)
|
||||
if not path.exists():
|
||||
return []
|
||||
|
||||
with open(path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
|
||||
return data.get("entries", [])
|
||||
|
||||
|
||||
def read_fetch_data(filepath: str) -> Dict:
|
||||
"""读取完整的fetch文件数据（包含meta和entries）"""
|
||||
path = Path(filepath)
|
||||
if not path.exists():
|
||||
return {"meta": {}, "entries": []}
|
||||
|
||||
# 检查文件是否为空
|
||||
if path.stat().st_size == 0:
|
||||
return {"meta": {}, "entries": []}
|
||||
|
||||
with open(path, "r", encoding="utf-8") as f:
|
||||
return json.load(f)
|
||||
|
||||
|
||||
def save_fetch_file(filepath: str, meta: Dict, entries: List[Dict]):
|
||||
"""保存fetch文件（JSON格式）"""
|
||||
path = Path(filepath)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
data = {"meta": meta, "entries": entries}
|
||||
|
||||
with open(path, "w", encoding="utf-8") as f:
|
||||
json.dump(data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
|
||||
def append_entries(filepath: str, new_entries: List[Dict], meta: Dict = None):
|
||||
"""追加条目到fetch文件"""
|
||||
path = Path(filepath)
|
||||
|
||||
# 读取现有数据
|
||||
if path.exists():
|
||||
data = read_fetch_data(filepath)
|
||||
else:
|
||||
data = {"meta": meta or {}, "entries": []}
|
||||
|
||||
# 更新meta（如果提供了）
|
||||
if meta:
|
||||
data["meta"].update(meta)
|
||||
|
||||
# 去重：基于link字段
|
||||
existing_links = {e.get("link") for e in data["entries"]}
|
||||
for entry in new_entries:
|
||||
if entry.get("link") not in existing_links:
|
||||
data["entries"].append(entry)
|
||||
existing_links.add(entry.get("link"))
|
||||
|
||||
# 保存
|
||||
save_fetch_file(filepath, data["meta"], data["entries"])
|
||||
return len(new_entries)
|
||||
|
||||
|
||||
def format_entry(entry: Dict) -> str:
|
||||
"""格式化单条条目为Markdown字符串"""
|
||||
tags = entry.get("tags", [])
|
||||
tags_str = json.dumps(tags, ensure_ascii=False) if tags else "[]"
|
||||
score = entry.get("score", "")
|
||||
summary = entry.get("summary", "")
|
||||
|
||||
return f"""## {entry["title"]}
|
||||
|
||||
---
|
||||
source: {entry["source"]}
|
||||
link: {entry["link"]}
|
||||
published: {entry["published"]}
|
||||
fetched_at: {entry["fetched_at"]}
|
||||
tags: {tags_str}
|
||||
score: {score}
|
||||
summary: {summary}
|
||||
---
|
||||
|
||||
{entry["content"]}
|
||||
|
||||
------
|
||||
"""
|
||||
|
||||
|
||||
def json_to_md(data: Dict) -> str:
|
||||
"""
|
||||
将JSON格式的fetch数据转换为Markdown格式，便于阅读
|
||||
|
||||
Args:
|
||||
data: {"meta": {...}, "entries": [...]}
|
||||
|
||||
Returns:
|
||||
Markdown格式的字符串
|
||||
"""
|
||||
meta = data.get("meta", {})
|
||||
entries = data.get("entries", [])
|
||||
|
||||
lines = []
|
||||
|
||||
# 文件头部YAML frontmatter
|
||||
if meta.get("date"):
|
||||
lines.append("---")
|
||||
lines.append(f'date: "{meta["date"]}"')
|
||||
lines.append("---")
|
||||
lines.append("")
|
||||
|
||||
# 条目
|
||||
for entry in entries:
|
||||
lines.append(format_entry(entry))
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def convert_fetch_json_to_md(json_filepath: str, md_filepath: str = None) -> str:
|
||||
"""
|
||||
将fetch JSON文件转换为Markdown文件
|
||||
|
||||
Args:
|
||||
json_filepath: JSON文件路径
|
||||
md_filepath: 输出MD文件路径，默认为同名.md
|
||||
|
||||
Returns:
|
||||
生成的Markdown内容
|
||||
"""
|
||||
data = read_fetch_data(json_filepath)
|
||||
md_content = json_to_md(data)
|
||||
|
||||
if md_filepath:
|
||||
path = Path(md_filepath)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
with open(path, "w", encoding="utf-8") as f:
|
||||
f.write(md_content)
|
||||
|
||||
return md_content
|
||||
|
||||
|
||||
def save_push_file(
|
||||
filepath: str,
|
||||
content: str,
|
||||
source_count: int,
|
||||
total_entries: int,
|
||||
profile: str = "default",
|
||||
metadata: Dict = None,
|
||||
):
|
||||
"""保存推送文件（Markdown格式）
|
||||
|
||||
Args:
|
||||
profile: "morning" | "default" ← 早报或常规;写入 frontmatter,便于按 profile 分析
|
||||
metadata: 元信息（可选），如果提供则使用 metadata，否则使用默认格式
|
||||
"""
|
||||
path = Path(filepath)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
if metadata:
|
||||
# 使用提供的 metadata
|
||||
frontmatter_dict = metadata.copy()
|
||||
# 添加推送时间和统计信息
|
||||
frontmatter_dict["pushDate"] = datetime.now(get_timezone()).isoformat()
|
||||
frontmatter_dict["sourceCount"] = source_count
|
||||
frontmatter_dict["totalEntries"] = total_entries
|
||||
else:
|
||||
# 降级：使用默认格式
|
||||
push_time = datetime.now(get_timezone())
|
||||
frontmatter_dict = {
|
||||
"profile": profile,
|
||||
"pushDate": push_time.isoformat(),
|
||||
"sourceCount": source_count,
|
||||
"totalEntries": total_entries,
|
||||
}
|
||||
|
||||
frontmatter = dump_frontmatter(frontmatter_dict)
|
||||
full_content = f"---\n{frontmatter}---\n\n{content}"
|
||||
|
||||
with open(path, "w", encoding="utf-8") as f:
|
||||
f.write(full_content)
|
||||
|
||||
|
||||
def load_existing_links(filepath: str, threshold: int = 150) -> set:
|
||||
"""加载文件中已有的链接（用于去重）
|
||||
|
||||
如果当天时间已超过 threshold 分钟，则只需加载当天文件；
|
||||
否则需要同时加载当天和昨天的文件（用于处理跨天边界情况）。
|
||||
|
||||
Args:
|
||||
filepath: 当天的 fetch 文件路径
|
||||
threshold: 阈值（分钟），超过此时间只加载当天文件
|
||||
"""
|
||||
tz = get_timezone()
|
||||
now = datetime.now(tz)
|
||||
current_minutes = now.hour * 60 + now.minute
|
||||
|
||||
need_yesterday = current_minutes < threshold
|
||||
|
||||
if not need_yesterday:
|
||||
if not filepath or not Path(filepath).exists():
|
||||
return set()
|
||||
entries = read_entries(filepath)
|
||||
return {e.get("link") for e in entries if e.get("link")}
|
||||
|
||||
all_links = set()
|
||||
if filepath and Path(filepath).exists():
|
||||
all_links.update(
|
||||
{e.get("link") for e in read_entries(filepath) if e.get("link")}
|
||||
)
|
||||
|
||||
yesterday = (now - timedelta(days=1)).date()
|
||||
yesterday_file = get_fetch_file(yesterday)
|
||||
if Path(yesterday_file).exists():
|
||||
all_links.update(
|
||||
{e.get("link") for e in read_entries(yesterday_file) if e.get("link")}
|
||||
)
|
||||
|
||||
return all_links
|
||||
|
||||
|
||||
def cleanup_old_files(days: int = 7, data_dir: str = "news-data"):
|
||||
"""清理超过days天的旧文件"""
|
||||
data_path = Path(data_dir)
|
||||
if not data_path.exists():
|
||||
return
|
||||
|
||||
cutoff = datetime.now() - timedelta(days=days)
|
||||
deleted_count = 0
|
||||
|
||||
for pattern in ["fetch-*.json", "fetch-*.md", "push-*.md", "notify-*.md"]:
|
||||
for file in data_path.glob(pattern):
|
||||
try:
|
||||
date_str = (
|
||||
file.name.replace("fetch-", "")
|
||||
.replace("push-", "")
|
||||
.replace("notify-", "")
|
||||
.replace(".json", "")
|
||||
.replace(".md", "")
|
||||
)
|
||||
date_parts = date_str.split("-")
|
||||
if len(date_parts) >= 3:
|
||||
file_date = date(
|
||||
int(date_parts[0]), int(date_parts[1]), int(date_parts[2])
|
||||
)
|
||||
if file_date < cutoff.date():
|
||||
file.unlink()
|
||||
deleted_count += 1
|
||||
print(f" 🗑️ 删除旧文件: {file.name}")
|
||||
except (ValueError, OSError):
|
||||
continue
|
||||
|
||||
# trending-history.json: 剪枝过期条目,保留文件本身
|
||||
trending_path = data_path / "trending-history.json"
|
||||
if trending_path.exists() and trending_path.stat().st_size > 0:
|
||||
try:
|
||||
history = load_trending_history(str(trending_path))
|
||||
before = len(history.repos)
|
||||
history.cleanup(today=datetime.now().date(), keep_days=days)
|
||||
after = len(history.repos)
|
||||
if after < before:
|
||||
history.save()
|
||||
print(f" ✂️ trending-history 剪枝: {before} → {after} 条")
|
||||
except Exception as e:
|
||||
print(f" ⚠️ trending-history 剪枝失败: {e}")
|
||||
|
||||
if deleted_count > 0:
|
||||
print(f" ✅ 清理完成: 删除了 {deleted_count} 个旧文件")
|
||||
|
||||
|
||||
class TrendingHistory:
|
||||
"""GitHub trending 已查阅 repo 索引。
|
||||
|
||||
repos 字段:url → last_seen_date (ISO YYYY-MM-DD)。
|
||||
每次早报 cleanup 一次,touch 完所有今日 URL 后 save。
|
||||
"""
|
||||
|
||||
def __init__(self, path: str, repos: Dict[str, str]):
|
||||
self._path = path
|
||||
self.repos: Dict[str, str] = dict(repos)
|
||||
|
||||
def __contains__(self, url: str) -> bool:
|
||||
return url in self.repos
|
||||
|
||||
def touch(self, url: str, today: date) -> None:
|
||||
self.repos[url] = today.isoformat()
|
||||
|
||||
def cleanup(self, today: date, keep_days: int) -> None:
|
||||
cutoff = today - timedelta(days=keep_days)
|
||||
self.repos = {
|
||||
url: d
|
||||
for url, d in self.repos.items()
|
||||
if _parse_iso_date_safe(d) is not None and _parse_iso_date_safe(d) >= cutoff
|
||||
}
|
||||
|
||||
def save(self) -> None:
|
||||
path = Path(self._path)
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
payload = {
|
||||
"repos": self.repos,
|
||||
"updated_at": datetime.now(get_timezone()).isoformat(),
|
||||
}
|
||||
with open(path, "w", encoding="utf-8") as f:
|
||||
json.dump(payload, f, ensure_ascii=False, indent=2)
|
||||
|
||||
|
||||
def _parse_iso_date_safe(s: str) -> Optional[date]:
|
||||
try:
|
||||
return date.fromisoformat(s)
|
||||
except (ValueError, TypeError):
|
||||
return None
|
||||
|
||||
|
||||
def load_trending_history(path: str) -> TrendingHistory:
|
||||
"""读取 trending-history.json;不存在返回空实例。"""
|
||||
p = Path(path)
|
||||
if not p.exists() or p.stat().st_size == 0:
|
||||
return TrendingHistory(path, {})
|
||||
try:
|
||||
with open(p, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
return TrendingHistory(path, data.get("repos", {}))
|
||||
except (json.JSONDecodeError, OSError):
|
||||
print(f"⚠️ trending-history 读取失败,使用空索引: {path}")
|
||||
return TrendingHistory(path, {})
|
||||
|
||||
|
||||
_SECTION_ORDER = ("rss", "github", "hackernews", "insights")
|
||||
|
||||
|
||||
def assemble_with_sentinels(sections: Dict[str, str]) -> str:
|
||||
"""按固定顺序拼装四段 markdown,每段包 sentinel;空段整段省略。"""
|
||||
parts: List[str] = []
|
||||
for key in _SECTION_ORDER:
|
||||
body = (sections.get(key) or "").strip()
|
||||
if not body:
|
||||
continue
|
||||
parts.append(
|
||||
f"<!-- SECTION:{key} BEGIN -->\n{body}\n<!-- SECTION:{key} END -->"
|
||||
)
|
||||
return "\n\n".join(parts)
|
||||
@@ -0,0 +1,15 @@
|
||||
[Unit]
|
||||
Description=Daily News - Fetch Job
|
||||
After=network-online.target
|
||||
Wants=network-online.target
|
||||
|
||||
[Service]
|
||||
Type=oneshot
|
||||
User={{USER}}
|
||||
Group={{GROUP}}
|
||||
WorkingDirectory={{PROJECT_DIR}}
|
||||
EnvironmentFile={{PROJECT_DIR}}/.env
|
||||
ExecStart={{UV_BIN}} run --project {{PROJECT_DIR}} python -m src.main fetch
|
||||
LogNamespace=dnews
|
||||
TimeoutStartSec=20min
|
||||
Nice=10
|
||||
@@ -0,0 +1,11 @@
|
||||
[Unit]
|
||||
Description=Daily News - Fetch Timer
|
||||
|
||||
[Timer]
|
||||
OnActiveSec=1s
|
||||
OnUnitActiveSec={{FETCH_INTERVAL_MIN}}min
|
||||
AccuracySec=1s
|
||||
Unit=dnews-fetch.service
|
||||
|
||||
[Install]
|
||||
WantedBy=timers.target
|
||||
@@ -0,0 +1,15 @@
|
||||
[Unit]
|
||||
Description=Daily News - Push Job
|
||||
After=network-online.target
|
||||
Wants=network-online.target
|
||||
|
||||
[Service]
|
||||
Type=oneshot
|
||||
User={{USER}}
|
||||
Group={{GROUP}}
|
||||
WorkingDirectory={{PROJECT_DIR}}
|
||||
EnvironmentFile={{PROJECT_DIR}}/.env
|
||||
ExecStart={{UV_BIN}} run --project {{PROJECT_DIR}} python -m src.main push
|
||||
LogNamespace=dnews
|
||||
TimeoutStartSec=10min
|
||||
Nice=10
|
||||
@@ -0,0 +1,10 @@
|
||||
[Unit]
|
||||
Description=Daily News - Push Timer
|
||||
|
||||
[Timer]
|
||||
{{PUSH_ONCALENDAR_LINES}}
|
||||
AccuracySec=1s
|
||||
Unit=dnews-push.service
|
||||
|
||||
[Install]
|
||||
WantedBy=timers.target
|
||||
@@ -0,0 +1,2 @@
|
||||
[Journal]
|
||||
MaxRetentionSec={{LOG_RETENTION_DAYS}}day
|
||||
@@ -0,0 +1,45 @@
|
||||
"""手动跑一次 HN 首页 + Algolia enrich,验证选择器与 API"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.sections.hackernews.frontpage_scraper import (
|
||||
fetch_frontpage,
|
||||
parse_frontpage_html,
|
||||
)
|
||||
from src.sections.hackernews.item_enricher import enrich_stories
|
||||
|
||||
|
||||
async def main():
|
||||
print("📥 抓取 HN 首页...")
|
||||
html = await fetch_frontpage(timeout=15)
|
||||
stories = parse_frontpage_html(html)
|
||||
print(f"📋 解析出 {len(stories)} 条")
|
||||
for s in stories[:5]:
|
||||
print(f" - [{s['points']} pts · {s['comments']} comments] {s['title']} ({s['site']})")
|
||||
|
||||
print("\n🔍 enrich 前 1 个外链类故事...")
|
||||
target = next((s for s in stories if not s["url"].startswith("https://news.ycombinator.com/")), stories[0])
|
||||
enriched, errors = await enrich_stories(
|
||||
[target],
|
||||
top_comments=5,
|
||||
top_l2_per_l1=3,
|
||||
comment_max_chars=2000,
|
||||
comments_total_chars=60000,
|
||||
link_content_max_chars=1500,
|
||||
timeout=15,
|
||||
)
|
||||
for e in errors:
|
||||
print(f" ⚠️ {e}")
|
||||
print(json.dumps(enriched, ensure_ascii=False, indent=2))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,201 @@
|
||||
#!/usr/bin/env python3
|
||||
"""获取新闻脚本 - 模块化测试第一步：获取RSS并存储"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
from urllib.parse import urlparse
|
||||
|
||||
# 添加项目根目录到路径
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
from src.config import get_timezone, load_config, merge_sources
|
||||
from src.fetcher import fetch_all_feeds
|
||||
from src.processor import html_to_markdown
|
||||
from src.storage import append_entries, get_fetch_file, load_existing_links
|
||||
|
||||
|
||||
def parse_args():
|
||||
"""解析命令行参数"""
|
||||
parser = argparse.ArgumentParser(description="RSS新闻获取测试")
|
||||
parser.add_argument(
|
||||
"--hours", "-H", type=int, default=1, help="获取过去多少小时的新闻 (默认: 1)"
|
||||
)
|
||||
parser.add_argument("--minutes", "-m", type=int, help="获取过去多少分钟的新闻")
|
||||
parser.add_argument(
|
||||
"--output-dir",
|
||||
"-o",
|
||||
type=str,
|
||||
default="tests/news-data",
|
||||
help="输出目录 (默认: tests/news-data)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--max-per-domain",
|
||||
type=int,
|
||||
default=30,
|
||||
help="同一域名最大保留源数量 (默认: 30)",
|
||||
)
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def get_cutoff_time(args) -> datetime:
|
||||
"""根据参数计算截止时间 (返回 UTC 时间)"""
|
||||
now = datetime.now(timezone.utc)
|
||||
if args.minutes:
|
||||
return now - timedelta(minutes=args.minutes)
|
||||
return now - timedelta(hours=args.hours)
|
||||
|
||||
|
||||
def limit_sources_by_domain(sources: list, max_per_domain: int = 30) -> list:
|
||||
"""限制同一域名的源数量"""
|
||||
domain_sources = defaultdict(list)
|
||||
|
||||
for source in sources:
|
||||
url = source.get("xmlUrl", "")
|
||||
try:
|
||||
domain = urlparse(url).netloc.lower()
|
||||
# 移除 www 前缀
|
||||
if domain.startswith("www."):
|
||||
domain = domain[4:]
|
||||
except Exception:
|
||||
domain = "unknown"
|
||||
domain_sources[domain].append(source)
|
||||
|
||||
limited_sources = []
|
||||
domain_counts = {}
|
||||
|
||||
for domain, src_list in domain_sources.items():
|
||||
kept = src_list[:max_per_domain]
|
||||
limited_sources.extend(kept)
|
||||
domain_counts[domain] = {"total": len(src_list), "kept": len(kept)}
|
||||
|
||||
return limited_sources, domain_counts
|
||||
|
||||
|
||||
async def fetch_news():
|
||||
"""主函数：获取RSS新闻并存储"""
|
||||
args = parse_args()
|
||||
tz = get_timezone()
|
||||
|
||||
print("=" * 60)
|
||||
print("📰 RSS新闻获取测试 (Step 1)")
|
||||
print("=" * 60)
|
||||
|
||||
# 1. 加载配置
|
||||
print("\n📋 加载配置...")
|
||||
config = load_config()
|
||||
all_sources = merge_sources(config["sources"])
|
||||
print(f" OPML 解析完成: {len(all_sources)} 个源")
|
||||
|
||||
# 2. 域名限制
|
||||
print(f"\n🔍 域名限制 (每域名最多 {args.max_per_domain} 个)...")
|
||||
sources, domain_stats = limit_sources_by_domain(all_sources, args.max_per_domain)
|
||||
|
||||
# 打印域名统计
|
||||
total_domains = len(domain_stats)
|
||||
limited_domains = sum(
|
||||
1 for d in domain_stats.values() if d["total"] > args.max_per_domain
|
||||
)
|
||||
|
||||
print(f" 域名总数: {total_domains}")
|
||||
print(f" 受限域名: {limited_domains}")
|
||||
print(f" 最终保留: {len(sources)} 个源")
|
||||
|
||||
# 显示受限域名详情
|
||||
for domain, stats in sorted(domain_stats.items(), key=lambda x: -x[1]["total"])[:5]:
|
||||
if stats["total"] > args.max_per_domain:
|
||||
print(f" - {domain}: {stats['total']} → {stats['kept']}")
|
||||
|
||||
# 3. 计算时间窗口
|
||||
cutoff = get_cutoff_time(args)
|
||||
print(f"\n⏰ 时间窗口")
|
||||
print(f" UTC: {cutoff.strftime('%Y-%m-%d %H:%M')}")
|
||||
print(
|
||||
f" Local: {(datetime.now(tz) - (datetime.now(timezone.utc) - cutoff)).strftime('%Y-%m-%d %H:%M')}"
|
||||
)
|
||||
|
||||
# 4. 获取RSS数据
|
||||
print(f"\n📡 开始获取...")
|
||||
max_workers = config.get("fetch", {}).get("max_workers", 10)
|
||||
timeout = config.get("fetch", {}).get("timeout", 5)
|
||||
entries = await fetch_all_feeds(
|
||||
sources, cutoff, max_workers=max_workers, timeout=timeout
|
||||
)
|
||||
|
||||
# 5. 统计结果
|
||||
print(f"\n📊 获取统计")
|
||||
print(f" 读取源数: {len(all_sources)}")
|
||||
print(f" 保留源数: {len(sources)}")
|
||||
print(f" 获取条目: {len(entries)}")
|
||||
|
||||
if not entries:
|
||||
print("\n⚠️ 没有获取到新消息")
|
||||
return 0
|
||||
|
||||
# 6. 转换HTML到Markdown
|
||||
print("\n📝 处理内容...")
|
||||
for entry in entries:
|
||||
entry["content"] = html_to_markdown(
|
||||
entry.get("content", ""), entry.get("link", "")
|
||||
)
|
||||
|
||||
# 7. 保存到文件
|
||||
print(f"\n💾 保存到文件...")
|
||||
output_dir = Path(args.output_dir)
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# 使用今天的日期作为文件名（JSON格式）
|
||||
today = datetime.now(tz).date()
|
||||
fetch_file = output_dir / f"fetch-{today.isoformat()}.json"
|
||||
|
||||
# 加载已有链接去重
|
||||
existing_links = (
|
||||
load_existing_links(str(fetch_file)) if fetch_file.exists() else set()
|
||||
)
|
||||
new_entries = [
|
||||
e for e in entries if e.get("link") and e["link"] not in existing_links
|
||||
]
|
||||
|
||||
# 添加时间戳并格式化
|
||||
for entry in entries:
|
||||
entry["fetched_at"] = datetime.now(tz).isoformat()
|
||||
if isinstance(entry.get("published"), datetime):
|
||||
entry["published"] = entry["published"].astimezone(tz).isoformat()
|
||||
|
||||
# 使用新的 append_entries 批量保存
|
||||
meta = {"date": today.isoformat()}
|
||||
append_entries(str(fetch_file), entries, meta)
|
||||
|
||||
print(f" 文件: {fetch_file}")
|
||||
print(f" 保存: {len(entries)} 条")
|
||||
print(f" 新增: {len(new_entries)} 条")
|
||||
print(f" 重复: {len(entries) - len(new_entries)} 条")
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("✅ Step 1 完成: RSS获取并存储")
|
||||
print("=" * 60)
|
||||
|
||||
return len(entries)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
count = asyncio.run(fetch_news())
|
||||
sys.exit(0 if count > 0 else 1)
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 已取消")
|
||||
sys.exit(130)
|
||||
except Exception as e:
|
||||
print(f"\n❌ 错误: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
@@ -0,0 +1,46 @@
|
||||
"""手动跑一次 xcancel/nitter 抓取，验证白名单 UA + requests 路径
|
||||
|
||||
用法：python tests/fetch_nitter.py
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.fetcher import fetch_all_feeds
|
||||
|
||||
FEEDS = [
|
||||
{
|
||||
"title": "Alibaba_Qwen",
|
||||
"xmlUrl": "https://rss.xcancel.com/Alibaba_Qwen/rss",
|
||||
},
|
||||
{
|
||||
"title": "trq212",
|
||||
"xmlUrl": "https://rss.xcancel.com/trq212/rss",
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
async def main():
|
||||
cutoff = datetime.now(timezone.utc) - timedelta(days=7)
|
||||
print(f"📥 抓取 {len(FEEDS)} 个 nitter 源（cutoff={cutoff.isoformat()}）...")
|
||||
|
||||
entries = await fetch_all_feeds(FEEDS, cutoff)
|
||||
|
||||
print(f"📋 拿到 {len(entries)} 条")
|
||||
for e in entries[:10]:
|
||||
published = e["published"].isoformat() if e["published"] else "?"
|
||||
print(f" - [{published}] {e['source']} {e['title']}")
|
||||
print(f" {e['link']}")
|
||||
print(f" {e['content']}\n\n")
|
||||
|
||||
if not entries:
|
||||
print("⚠️ 一条都没拿到 —— 检查 UA / TLS 路径是否生效")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,44 @@
|
||||
"""手动跑一次 GH trending 抓取 + deep-dive,验证选择器与 API 接入"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.config import load_config
|
||||
from src.sections.github.repo_enricher import enrich_repos
|
||||
from src.sections.github.trending_scraper import (
|
||||
fetch_trending_page,
|
||||
parse_trending_html,
|
||||
)
|
||||
|
||||
|
||||
async def main():
|
||||
config = load_config()
|
||||
print("📥 抓取 GitHub Trending...")
|
||||
html = await fetch_trending_page(timeout=15)
|
||||
repos = parse_trending_html(html)
|
||||
print(f"📋 解析出 {len(repos)} 个 repo")
|
||||
for r in repos[:5]:
|
||||
print(f" - {r['full_name']} ⭐{r['stars_today']}/{r['stars_total']} | {r['description'][:80]}")
|
||||
|
||||
cfg = config["sections"]["github_trending"]
|
||||
print(f"\n🔍 enrich 前 {min(3, len(repos))} 个...")
|
||||
enriched, errors = await enrich_repos(
|
||||
repos[:3],
|
||||
token_env=cfg.get("tokenName", "GITHUB_TOKEN"),
|
||||
readme_max_chars=cfg.get("readme_max_chars", 3000),
|
||||
timeout=15,
|
||||
)
|
||||
for e in errors:
|
||||
print(f" ⚠️ {e}")
|
||||
print(json.dumps(enriched, ensure_ascii=False, indent=2))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,209 @@
|
||||
#!/usr/bin/env python3
|
||||
"""手工触发 LLM 错误告警。
|
||||
|
||||
用法：
|
||||
source ../.venv/bin/activate
|
||||
python tests/manual_trigger_fetch_loop_llm_error.py --scenario score
|
||||
python tests/manual_trigger_fetch_loop_llm_error.py --scenario immediate
|
||||
python tests/manual_trigger_fetch_loop_llm_error.py --scenario digest
|
||||
python tests/manual_trigger_fetch_loop_llm_error.py --scenario all
|
||||
|
||||
场景说明：
|
||||
- score: 走 fetch_loop -> run_fetch_job -> score_batch，触发评分错误通知
|
||||
- immediate: 走 run_fetch_job -> generate_immediate_push，触发即时推送生成错误通知
|
||||
- digest: 走 run_push_job -> compose_digest，触发汇总生成错误通知
|
||||
- all: 依次触发以上三类真实通知
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import load_config
|
||||
from src.main import fetch_loop, run_fetch_job, run_push_job
|
||||
|
||||
MOCK_FETCH_ENTRIES = [
|
||||
{
|
||||
"title": "Manual Mock News 1",
|
||||
"link": "https://example.com/mock-1",
|
||||
"published": "2026-03-08T20:00:00+08:00",
|
||||
"source": "Manual Mock Source",
|
||||
"content": "<p>Mock content 1</p>",
|
||||
"tags": [],
|
||||
"score": 0,
|
||||
"summary": "",
|
||||
},
|
||||
{
|
||||
"title": "Manual Mock News 2",
|
||||
"link": "https://example.com/mock-2",
|
||||
"published": "2026-03-08T20:05:00+08:00",
|
||||
"source": "Manual Mock Source",
|
||||
"content": "<p>Mock content 2</p>",
|
||||
"tags": [],
|
||||
"score": 0,
|
||||
"summary": "",
|
||||
},
|
||||
]
|
||||
|
||||
MOCK_HOT_SCORED_ENTRIES = [
|
||||
{
|
||||
"title": "Manual Hot News",
|
||||
"link": "https://example.com/hot-1",
|
||||
"published": "2026-03-08T21:00:00+08:00",
|
||||
"source": "Manual Mock Source",
|
||||
"content": "mock content",
|
||||
"tags": ["AI"],
|
||||
"score": 95,
|
||||
"summary": "manual hot summary",
|
||||
}
|
||||
]
|
||||
|
||||
MOCK_DIGEST_ENTRIES = [
|
||||
{
|
||||
"title": "Manual Digest News",
|
||||
"link": "https://example.com/digest-1",
|
||||
"published": "2026-03-08T19:00:00+08:00",
|
||||
"fetched_at": "2026-03-08T21:00:00+08:00",
|
||||
"source": "Manual Mock Source",
|
||||
"content": "mock digest content",
|
||||
"tags": ["AI"],
|
||||
"score": 88,
|
||||
"summary": "manual digest summary",
|
||||
}
|
||||
]
|
||||
|
||||
|
||||
def parse_args() -> argparse.Namespace:
|
||||
parser = argparse.ArgumentParser(description="手工触发 LLM 错误告警")
|
||||
parser.add_argument(
|
||||
"--scenario",
|
||||
choices=["score", "immediate", "digest", "all"],
|
||||
default="score",
|
||||
help="要触发的错误场景，默认 score",
|
||||
)
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
async def _trigger_score_error(config):
|
||||
mock_sources = [
|
||||
{
|
||||
"title": "Manual Mock Feed",
|
||||
"xmlUrl": "https://example.com/rss.xml",
|
||||
"category": "AI",
|
||||
}
|
||||
]
|
||||
|
||||
tmp_dir = Path("test/news-data")
|
||||
tmp_dir.mkdir(parents=True, exist_ok=True)
|
||||
fetch_file = tmp_dir / "manual-fetch-loop-error.json"
|
||||
|
||||
async def fake_fetch_all_feeds(*args, **kwargs):
|
||||
return MOCK_FETCH_ENTRIES
|
||||
|
||||
async def fake_sleep(seconds: float):
|
||||
if seconds <= 0:
|
||||
return
|
||||
raise asyncio.CancelledError()
|
||||
|
||||
with (
|
||||
patch("src.main.merge_sources", return_value=mock_sources),
|
||||
patch("src.main.fetch_all_feeds", side_effect=fake_fetch_all_feeds),
|
||||
patch("src.main.load_existing_links", return_value=set()),
|
||||
patch("src.main.get_fetch_file", return_value=str(fetch_file)),
|
||||
patch(
|
||||
"src.llm.call_llm",
|
||||
side_effect=RuntimeError("manual mock llm scoring error"),
|
||||
),
|
||||
patch("src.main.asyncio.sleep", side_effect=fake_sleep),
|
||||
):
|
||||
await fetch_loop(config)
|
||||
|
||||
|
||||
async def _trigger_immediate_push_error(config):
|
||||
tmp_dir = Path("test/news-data")
|
||||
tmp_dir.mkdir(parents=True, exist_ok=True)
|
||||
fetch_file = tmp_dir / "manual-immediate-push-error.json"
|
||||
|
||||
async def fake_fetch_all_feeds(*args, **kwargs):
|
||||
return [dict(entry) for entry in MOCK_HOT_SCORED_ENTRIES]
|
||||
|
||||
with (
|
||||
patch(
|
||||
"src.main.merge_sources",
|
||||
return_value=[
|
||||
{
|
||||
"title": "Manual",
|
||||
"xmlUrl": "https://example.com/rss.xml",
|
||||
"category": "AI",
|
||||
}
|
||||
],
|
||||
),
|
||||
patch("src.main.fetch_all_feeds", side_effect=fake_fetch_all_feeds),
|
||||
patch("src.main.load_existing_links", return_value=set()),
|
||||
patch("src.main.get_fetch_file", return_value=str(fetch_file)),
|
||||
patch(
|
||||
"src.main.score_batch",
|
||||
return_value=([dict(entry) for entry in MOCK_HOT_SCORED_ENTRIES], []),
|
||||
),
|
||||
patch(
|
||||
"src.main.generate_immediate_push",
|
||||
return_value=("", "manual mock immediate push error"),
|
||||
),
|
||||
):
|
||||
await run_fetch_job(config)
|
||||
|
||||
|
||||
async def _trigger_digest_error(config):
|
||||
with (
|
||||
patch(
|
||||
"src.main.collect_entries_for_push",
|
||||
return_value=([dict(entry) for entry in MOCK_DIGEST_ENTRIES], []),
|
||||
),
|
||||
patch("src.main.get_last_push_file", return_value=None),
|
||||
patch(
|
||||
"src.main.compose_digest",
|
||||
side_effect=RuntimeError("manual mock compose digest error"),
|
||||
),
|
||||
):
|
||||
await run_push_job(config)
|
||||
|
||||
|
||||
async def _run_selected_scenarios(scenario: str) -> None:
|
||||
config = load_config()
|
||||
|
||||
if scenario in {"score", "all"}:
|
||||
print("\n🚨 触发 score_batch 错误通知")
|
||||
await _trigger_score_error(config)
|
||||
|
||||
if scenario in {"immediate", "all"}:
|
||||
print("\n🚨 触发 generate_immediate_push 错误通知")
|
||||
await _trigger_immediate_push_error(config)
|
||||
|
||||
if scenario in {"digest", "all"}:
|
||||
print("\n🚨 触发 compose_digest 错误通知")
|
||||
await _trigger_digest_error(config)
|
||||
|
||||
|
||||
def main() -> int:
|
||||
args = parse_args()
|
||||
|
||||
print("🚨 即将触发真实的 LLM 错误提醒")
|
||||
print(f" - 场景: {args.scenario}")
|
||||
print(" - 推送: 使用当前 config.json 和环境变量中的真实渠道")
|
||||
|
||||
try:
|
||||
asyncio.run(_run_selected_scenarios(args.scenario))
|
||||
except KeyboardInterrupt:
|
||||
print("\n已取消")
|
||||
return 130
|
||||
|
||||
print("✅ 脚本执行完成；如果推送配置正确，你应该已经收到对应错误提醒。")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -0,0 +1,99 @@
|
||||
#!/usr/bin/env python3
|
||||
"""预览 LLM 查重上下文 —— 直接打印 load_recent_notify_content / load_recent_push_content
|
||||
返回的内容,便于调试历史去重时实际喂给 LLM 的素材。
|
||||
|
||||
Usage:
|
||||
# 默认:读取 config.json 的 filter.context_days,打印 notify + push 两段
|
||||
python tests/preview_recent_context.py
|
||||
|
||||
# 指定回溯天数
|
||||
python tests/preview_recent_context.py --days 5
|
||||
|
||||
# 只看一种
|
||||
python tests/preview_recent_context.py --type notify
|
||||
python tests/preview_recent_context.py --type push
|
||||
|
||||
# 自定义数据目录(例如 tests/news-data 里的样本数据)
|
||||
python tests/preview_recent_context.py --data-dir tests/news-data
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import load_config
|
||||
from src.storage import load_recent_notify_content, load_recent_push_content
|
||||
|
||||
|
||||
def _resolve_days(cli_days: int | None) -> int:
|
||||
if cli_days is not None:
|
||||
return cli_days
|
||||
try:
|
||||
config = load_config()
|
||||
return int(config.get("filter", {}).get("context_days", 3))
|
||||
except Exception:
|
||||
return 3
|
||||
|
||||
|
||||
def _print_section(label: str, content: str) -> None:
|
||||
sep = "=" * 60
|
||||
print(f"\n{sep}\n{label}\n{sep}")
|
||||
if not content:
|
||||
print("(空)")
|
||||
return
|
||||
print(content)
|
||||
print(
|
||||
f"\n--- {label} 字符数: {len(content)} | 块数(按 `------` 切分): "
|
||||
f"{len([b for b in content.split('------') if b.strip()])} ---"
|
||||
)
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser(
|
||||
description="预览近 N 天 notify / push 文件正文 (剥离 frontmatter 后)"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--days",
|
||||
type=int,
|
||||
default=None,
|
||||
help="回溯天数,默认读取 config.filter.context_days(兜底 3)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--type",
|
||||
choices=["notify", "push", "both"],
|
||||
default="both",
|
||||
help="预览哪种历史,默认 both",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--data-dir",
|
||||
default="news-data",
|
||||
help="数据目录,默认 news-data",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--section",
|
||||
default="rss",
|
||||
help="push 文件取哪个 sentinel 段,默认 rss(可选 github / hackernews / insights)",
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
days = _resolve_days(args.days)
|
||||
print(
|
||||
f"📅 回溯天数: {days} | 📂 数据目录: {args.data_dir} | "
|
||||
f"类型: {args.type} | push.section: {args.section}"
|
||||
)
|
||||
|
||||
if args.type in ("notify", "both"):
|
||||
notify_md = load_recent_notify_content(days, args.data_dir)
|
||||
_print_section("近期即时推送 (notify)", notify_md)
|
||||
|
||||
if args.type in ("push", "both"):
|
||||
push_md = load_recent_push_content(days, args.data_dir, section=args.section)
|
||||
_print_section(f"近期汇总推送 (push.{args.section})", push_md)
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -0,0 +1,140 @@
|
||||
"""Probe HN: 抓取首页前 10 条,统计每个 story 评论树的深度/数量/字符数。
|
||||
|
||||
用于判断 enrich 策略:是否需要 L2 回复、压缩、过滤短评等。
|
||||
|
||||
字符数说明:
|
||||
- "raw" = Algolia 返回的 text 字段(HTML)
|
||||
- "md" = html_to_markdown 后的字符数(LLM 实际看到的)
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from typing import Dict, List, Tuple
|
||||
|
||||
import aiohttp
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.processor import html_to_markdown
|
||||
from src.sections.hackernews.frontpage_scraper import (
|
||||
fetch_frontpage,
|
||||
parse_frontpage_html,
|
||||
)
|
||||
|
||||
ALGOLIA = "https://hn.algolia.com/api/v1/items"
|
||||
TIMEOUT = 30
|
||||
|
||||
|
||||
async def fetch_item(session: aiohttp.ClientSession, item_id: str) -> Dict:
|
||||
async with session.get(
|
||||
f"{ALGOLIA}/{item_id}",
|
||||
timeout=aiohttp.ClientTimeout(total=TIMEOUT),
|
||||
) as resp:
|
||||
if resp.status != 200:
|
||||
raise RuntimeError(f"{item_id} -> {resp.status}")
|
||||
return await resp.json()
|
||||
|
||||
|
||||
def walk_tree(node: Dict, depth: int = 0) -> List[Tuple[int, str]]:
|
||||
"""递归遍历评论树,返回 [(depth, text_html), ...]。depth=0 是 story 自身,1 是顶层评论。"""
|
||||
result: List[Tuple[int, str]] = []
|
||||
text = (node or {}).get("text") or ""
|
||||
if depth > 0 and text:
|
||||
result.append((depth, text))
|
||||
for child in (node or {}).get("children") or []:
|
||||
result.extend(walk_tree(child, depth + 1))
|
||||
return result
|
||||
|
||||
|
||||
def stats(samples: List[str]) -> Dict:
|
||||
if not samples:
|
||||
return {"count": 0, "raw_chars": 0, "md_chars": 0, "avg_md": 0, "max_md": 0}
|
||||
md_lens = [len(html_to_markdown(s)) for s in samples]
|
||||
raw_lens = [len(s) for s in samples]
|
||||
return {
|
||||
"count": len(samples),
|
||||
"raw_chars": sum(raw_lens),
|
||||
"md_chars": sum(md_lens),
|
||||
"avg_md": round(sum(md_lens) / len(md_lens)),
|
||||
"max_md": max(md_lens),
|
||||
}
|
||||
|
||||
|
||||
def by_depth(nodes: List[Tuple[int, str]], d: int) -> List[str]:
|
||||
return [t for depth, t in nodes if depth == d]
|
||||
|
||||
|
||||
async def probe_one(
|
||||
session: aiohttp.ClientSession, story: Dict
|
||||
) -> Dict:
|
||||
item_id = story["id"]
|
||||
data = await fetch_item(session, item_id)
|
||||
flat = walk_tree(data)
|
||||
l1 = by_depth(flat, 1)
|
||||
l2 = by_depth(flat, 2)
|
||||
l3plus = [t for d, t in flat if d >= 3]
|
||||
all_comments = [t for _, t in flat]
|
||||
return {
|
||||
"id": item_id,
|
||||
"title": story["title"][:60],
|
||||
"page_comments": story["comments"],
|
||||
"L1": stats(l1),
|
||||
"L2": stats(l2),
|
||||
"L3+": stats(l3plus),
|
||||
"ALL": stats(all_comments),
|
||||
}
|
||||
|
||||
|
||||
def print_row(label: str, s: Dict):
|
||||
print(
|
||||
f" {label:5s} count={s['count']:4d} md_total={s['md_chars']:7d} "
|
||||
f"avg={s['avg_md']:5d} max={s['max_md']:6d}"
|
||||
)
|
||||
|
||||
|
||||
async def main():
|
||||
print("📥 抓取 HN 首页...")
|
||||
html = await fetch_frontpage(timeout=15)
|
||||
stories = parse_frontpage_html(html)[:10]
|
||||
print(f"📋 取前 10 条 (实际 {len(stories)} 条)\n")
|
||||
|
||||
async with aiohttp.ClientSession() as session:
|
||||
results = await asyncio.gather(
|
||||
*[probe_one(session, s) for s in stories],
|
||||
return_exceptions=True,
|
||||
)
|
||||
|
||||
summary = {"L1": [], "L2": [], "L3+": [], "ALL": []}
|
||||
for r in results:
|
||||
if isinstance(r, Exception):
|
||||
print(f"❌ {r}\n")
|
||||
continue
|
||||
print(
|
||||
f"#{r['id']} page_comments={r['page_comments']}\n {r['title']}"
|
||||
)
|
||||
print_row("L1", r["L1"])
|
||||
print_row("L2", r["L2"])
|
||||
print_row("L3+", r["L3+"])
|
||||
print_row("ALL", r["ALL"])
|
||||
print()
|
||||
for key in summary:
|
||||
summary[key].append(r[key])
|
||||
|
||||
print("=" * 70)
|
||||
print("📊 10 条 story 汇总(平均/总和)\n")
|
||||
for key in ["L1", "L2", "L3+", "ALL"]:
|
||||
rows = summary[key]
|
||||
total_count = sum(r["count"] for r in rows)
|
||||
total_md = sum(r["md_chars"] for r in rows)
|
||||
avg_count_per_story = round(total_count / len(rows), 1) if rows else 0
|
||||
avg_md_per_story = round(total_md / len(rows)) if rows else 0
|
||||
print(
|
||||
f" {key:5s} 总数={total_count:4d} 总md字符={total_md:8d} "
|
||||
f"平均每story count={avg_count_per_story:5.1f} md_chars={avg_md_per_story:6d}"
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,168 @@
|
||||
#!/usr/bin/env python3
|
||||
"""推送功能测试 (Step 2)
|
||||
|
||||
测试内容：
|
||||
1. 读取已获取的新闻数据
|
||||
2. 测试推送到所有已启用的平台
|
||||
3. 验证推送格式和内容
|
||||
|
||||
使用方法:
|
||||
python tests/push_news.py # 默认从 fetch 数据读取发送 (--fake)
|
||||
python tests/push_news.py --fake # 从 fetch 数据读取发送
|
||||
python tests/push_news.py --real # 从 news-data/push-*.md 最新文件发送
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import sys
|
||||
from datetime import date
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
from src.config import load_config
|
||||
from src.push import send_to_platforms
|
||||
from src.storage import (
|
||||
convert_fetch_json_to_md,
|
||||
get_fetch_file,
|
||||
get_last_push_file,
|
||||
read_entries,
|
||||
)
|
||||
|
||||
|
||||
def parse_args():
|
||||
"""解析命令行参数"""
|
||||
parser = argparse.ArgumentParser(description="推送功能测试")
|
||||
parser.add_argument(
|
||||
"--fake", action="store_true", help="从 fetch 数据读取发送（默认）"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--real", action="store_true", help="从 news-data/push-*.md 最新文件发送"
|
||||
)
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def load_push_content() -> Optional[str]:
|
||||
"""从 news-data 获取最新的 push 文件内容（去掉 frontmatter）"""
|
||||
last_file = get_last_push_file(data_dir="tests/news-data")
|
||||
if not last_file:
|
||||
print(" ❌ 未找到 push 文件")
|
||||
return None
|
||||
|
||||
print(f" 📂 读取文件: {last_file}")
|
||||
|
||||
with open(last_file, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
|
||||
# 去掉 frontmatter
|
||||
if content.startswith("---"):
|
||||
parts = content.split("---", 2)
|
||||
if len(parts) >= 3:
|
||||
content = parts[2].strip()
|
||||
|
||||
return content
|
||||
|
||||
|
||||
async def test_push(mode: str = "fake"):
|
||||
"""测试推送功能"""
|
||||
print("=" * 60)
|
||||
print("📤 推送功能测试 (Step 2)")
|
||||
print(f" 模式: {'real' if mode == 'real' else 'fake (fetch数据)'}")
|
||||
print("=" * 60)
|
||||
|
||||
# 加载配置
|
||||
print("\n📋 加载配置...")
|
||||
config = load_config()
|
||||
|
||||
content: Optional[str] = None
|
||||
title: Optional[str] = None
|
||||
|
||||
if mode == "real":
|
||||
# 从 push 文件读取
|
||||
content = load_push_content()
|
||||
if content:
|
||||
# 提取标题
|
||||
first_line = content.split("\n")[0] if content else ""
|
||||
if first_line.startswith("# "):
|
||||
title = first_line.replace("# ", "").strip()
|
||||
print(f" 📝 内容长度: {len(content)} 字符")
|
||||
print(f" 📝 标题: {title}")
|
||||
else:
|
||||
# 从 fetch 数据读取（默认）
|
||||
print("\n📖 读取新闻数据...")
|
||||
fetch_file = get_fetch_file(date.today(), data_dir="tests/news-data")
|
||||
entries = read_entries(fetch_file)
|
||||
print(f" 文件: {fetch_file}")
|
||||
print(f" 获取到 {len(entries)} 条新闻")
|
||||
|
||||
# 同时生成 Markdown 版本便于阅读
|
||||
md_file = str(fetch_file).replace(".json", ".md")
|
||||
convert_fetch_json_to_md(fetch_file, md_file)
|
||||
print(f" Markdown版本: {md_file}")
|
||||
|
||||
if not entries:
|
||||
print("\n⚠️ 没有新闻数据，请先运行 fetch_news.py")
|
||||
return
|
||||
|
||||
# 构建测试消息
|
||||
print("\n📝 构建推送消息...")
|
||||
content = build_test_message(entries[:5])
|
||||
print(f" 消息长度: {len(content)} 字符")
|
||||
|
||||
if not content:
|
||||
print("\n⚠️ 没有内容可推送")
|
||||
return
|
||||
|
||||
# 推送到所有已启用平台
|
||||
print("\n📤 推送消息...")
|
||||
try:
|
||||
await send_to_platforms(
|
||||
content, config["push"], "📰 AI Daily 每日精选 | {Test:YYYY-MM-DD}"
|
||||
)
|
||||
except Exception as e:
|
||||
print(f" ❌ 推送失败: {e}")
|
||||
raise
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("✅ Step 2 完成: 推送测试")
|
||||
print("=" * 60)
|
||||
|
||||
|
||||
def build_test_message(entries: list) -> str:
|
||||
"""构建测试消息"""
|
||||
lines = [
|
||||
"📰 **新闻推送测试**",
|
||||
"",
|
||||
f"共获取 {len(entries)} 条新闻：",
|
||||
"",
|
||||
]
|
||||
|
||||
for i, entry in enumerate(entries, 1):
|
||||
title = entry.get("title", "无标题")
|
||||
source = entry.get("source", "未知来源")
|
||||
link = entry.get("link", "")
|
||||
published = entry.get("published", "")
|
||||
content = entry.get("content", "")[:100]
|
||||
|
||||
lines.append(f"**{i}. {title}**")
|
||||
lines.append(f" 📰 来源: {source}")
|
||||
if published:
|
||||
lines.append(f" ⏰ 时间: {published}")
|
||||
if link:
|
||||
lines.append(f" 🔗 链接: {link}")
|
||||
if content:
|
||||
lines.append(f" 📝 内容: {content}...")
|
||||
lines.append("")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
args = parse_args()
|
||||
mode = "real" if args.real else "fake"
|
||||
asyncio.run(test_push(mode))
|
||||
@@ -0,0 +1 @@
|
||||
# pytest tests for daily-news project
|
||||
@@ -0,0 +1,154 @@
|
||||
"""pytest fixtures for daily-news project"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def temp_dir(tmp_path):
|
||||
"""临时目录fixture"""
|
||||
return tmp_path
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_config():
|
||||
"""示例配置"""
|
||||
return {
|
||||
"sources": {
|
||||
"base_opml": "resources/rss.opml",
|
||||
"add": [],
|
||||
"block": [],
|
||||
"block_domains": ["*.substack.com"],
|
||||
},
|
||||
"filter": {
|
||||
"min_score": 60,
|
||||
"hot_threshold": 90,
|
||||
"context_days": 2,
|
||||
"keep_days": 7,
|
||||
},
|
||||
"schedule": {
|
||||
"fetch_interval_minutes": 30,
|
||||
"push_cron": ["0 8 * * *", "0 17 * * *"],
|
||||
"timezone_hours": 8,
|
||||
},
|
||||
"llm": {
|
||||
"provider": "openai",
|
||||
"model": "gpt-4o-mini",
|
||||
"baseUrl": "https://api.openai.com/v1",
|
||||
"apiKeyName": "OPENAI_API_KEY",
|
||||
"max_prompt_chars": 10000,
|
||||
"max_concurrent_batches": 3,
|
||||
},
|
||||
"push": {
|
||||
"discord": {
|
||||
"enabled": True,
|
||||
"webhook_url": "https://discord.com/api/webhooks/test/abc",
|
||||
},
|
||||
"feishu": {"enabled": False, "apiKeyName": "FEISHU_WEBHOOK_URL"},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_opml(temp_dir):
|
||||
"""示例OPML文件"""
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="Feed1" xmlUrl="http://feed1.com/rss" type="rss" category="tech"/>
|
||||
<outline title="Feed2" xmlUrl="http://feed2.com/rss" type="rss" category="ai"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
return str(opml_file)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_entry():
|
||||
"""示例新闻条目"""
|
||||
return {
|
||||
"title": "Test Article Title",
|
||||
"link": "https://example.com/article",
|
||||
"published": datetime.now(timezone.utc).isoformat(),
|
||||
"fetched_at": datetime.now(timezone.utc).isoformat(),
|
||||
"source": "Test Source",
|
||||
"content": "<p>Test content</p>",
|
||||
"summary": "Test summary",
|
||||
"tags": ["AI", "Tech"],
|
||||
"score": 85,
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_entries():
|
||||
"""示例新闻条目列表"""
|
||||
now = datetime.now(timezone.utc)
|
||||
return [
|
||||
{
|
||||
"title": "Article 1",
|
||||
"link": "https://example.com/1",
|
||||
"published": now.isoformat(),
|
||||
"fetched_at": now.isoformat(),
|
||||
"source": "Source1",
|
||||
"content": "Content 1",
|
||||
"summary": "Summary 1",
|
||||
"tags": ["AI"],
|
||||
"score": 85,
|
||||
},
|
||||
{
|
||||
"title": "Article 2",
|
||||
"link": "https://example.com/2",
|
||||
"published": (now - timedelta(hours=1)).isoformat(),
|
||||
"fetched_at": now.isoformat(),
|
||||
"source": "Source2",
|
||||
"content": "Content 2",
|
||||
"summary": "Summary 2",
|
||||
"tags": ["Tech"],
|
||||
"score": 70,
|
||||
},
|
||||
{
|
||||
"title": "Article 3",
|
||||
"link": "https://example.com/3",
|
||||
"published": (now - timedelta(hours=2)).isoformat(),
|
||||
"fetched_at": now.isoformat(),
|
||||
"source": "Source3",
|
||||
"content": "Content 3",
|
||||
"summary": "Summary 3",
|
||||
"tags": ["News"],
|
||||
"score": 55,
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_fetch_json(temp_dir, sample_entries):
|
||||
"""示例fetch JSON文件"""
|
||||
data = {
|
||||
"meta": {"date": datetime.now().date().isoformat()},
|
||||
"entries": sample_entries,
|
||||
}
|
||||
json_file = temp_dir / "fetch-test.json"
|
||||
json_file.write_text(json.dumps(data, ensure_ascii=False, indent=2))
|
||||
return str(json_file)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_httpx_session():
|
||||
"""Mock httpx/aiohttp session"""
|
||||
mock_response = MagicMock()
|
||||
mock_response.status = 200
|
||||
mock_response.text = "<rss></rss>"
|
||||
|
||||
mock_session = MagicMock()
|
||||
mock_session.__aenter__ = MagicMock(return_value=mock_session)
|
||||
mock_session.__aexit__ = MagicMock(return_value=None)
|
||||
mock_session.get = MagicMock(return_value=mock_response)
|
||||
|
||||
return mock_session
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -0,0 +1,249 @@
|
||||
"""配置模块测试"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from config import (
|
||||
load_config,
|
||||
parse_opml,
|
||||
merge_sources,
|
||||
get_timezone,
|
||||
)
|
||||
|
||||
|
||||
class TestLoadConfig:
|
||||
"""测试配置加载"""
|
||||
|
||||
def test_load_valid_config(self, temp_dir):
|
||||
config = {
|
||||
"sources": {"base_opml": "test.opml", "add": [], "block": []},
|
||||
"filter": {"min_score": 60},
|
||||
"schedule": {"fetch_interval_minutes": 30},
|
||||
"llm": {"provider": "groq", "model": "moonshotai/kimi-k2-instruct"},
|
||||
"push": {"discord": {"enabled": False}},
|
||||
}
|
||||
config_file = temp_dir / "config.json"
|
||||
config_file.write_text(json.dumps(config))
|
||||
|
||||
result = load_config(str(config_file))
|
||||
assert result["filter"]["min_score"] == 60
|
||||
assert result["llm"]["provider"] == "groq"
|
||||
|
||||
def test_load_missing_file(self):
|
||||
with pytest.raises(FileNotFoundError):
|
||||
load_config("nonexistent.json")
|
||||
|
||||
def test_load_invalid_json(self, temp_dir):
|
||||
config_file = temp_dir / "config.json"
|
||||
config_file.write_text("invalid json")
|
||||
with pytest.raises(json.JSONDecodeError):
|
||||
load_config(str(config_file))
|
||||
|
||||
def test_load_config_with_sources(self, temp_dir, sample_opml):
|
||||
config = {
|
||||
"sources": {
|
||||
"base_opml": sample_opml,
|
||||
"add": [
|
||||
{
|
||||
"title": "Add1",
|
||||
"xmlUrl": "http://add1.com/rss",
|
||||
"category": "test",
|
||||
}
|
||||
],
|
||||
"block": [],
|
||||
},
|
||||
"filter": {"min_score": 60},
|
||||
"schedule": {"fetch_interval_minutes": 30, "timezone_hours": 8},
|
||||
"llm": {"provider": "test"},
|
||||
"push": {"discord": {"enabled": False}},
|
||||
}
|
||||
config_file = temp_dir / "config.json"
|
||||
config_file.write_text(json.dumps(config))
|
||||
|
||||
result = load_config(str(config_file))
|
||||
assert len(result["sources"]["add"]) == 1
|
||||
|
||||
|
||||
class TestParseOpml:
|
||||
"""测试OPML解析"""
|
||||
|
||||
def test_parse_valid_opml(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="Feed1" xmlUrl="http://feed1.com/rss" type="rss"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
feeds = parse_opml(str(opml_file))
|
||||
assert len(feeds) == 1
|
||||
assert feeds[0]["title"] == "Feed1"
|
||||
assert feeds[0]["xmlUrl"] == "http://feed1.com/rss"
|
||||
|
||||
def test_parse_missing_file(self):
|
||||
feeds = parse_opml("nonexistent.opml")
|
||||
assert feeds == []
|
||||
|
||||
def test_parse_opml_with_category(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="TechFeed" xmlUrl="http://tech.com/rss" type="rss" category="技术"/>
|
||||
<outline title="AIFeed" xmlUrl="http://ai.com/rss" type="rss" category="AI"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
feeds = parse_opml(str(opml_file))
|
||||
assert len(feeds) == 2
|
||||
assert feeds[0]["category"] == "技术"
|
||||
assert feeds[1]["category"] == "AI"
|
||||
|
||||
def test_parse_opml_empty_body(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
feeds = parse_opml(str(opml_file))
|
||||
assert feeds == []
|
||||
|
||||
|
||||
class TestMergeSources:
|
||||
"""测试源合并"""
|
||||
|
||||
def test_merge_base_and_add(self, sample_opml):
|
||||
config = {
|
||||
"base_opml": sample_opml,
|
||||
"add": [
|
||||
{"title": "Feed3", "xmlUrl": "http://feed3.com/rss", "category": "test"}
|
||||
],
|
||||
"block": [],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
assert len(sources) == 3
|
||||
|
||||
def test_block_by_xmlUrl(self, sample_opml):
|
||||
config = {
|
||||
"base_opml": sample_opml,
|
||||
"add": [],
|
||||
"block": [{"title": "Block1", "xmlUrl": "http://feed1.com/rss"}],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
assert all(s["xmlUrl"] != "http://feed1.com/rss" for s in sources)
|
||||
assert len(sources) == 1
|
||||
|
||||
def test_deduplicate_by_xmlUrl(self, sample_opml):
|
||||
config = {
|
||||
"base_opml": sample_opml,
|
||||
"add": [
|
||||
{
|
||||
"title": "Duplicate",
|
||||
"xmlUrl": "http://feed1.com/rss",
|
||||
"category": "test",
|
||||
}
|
||||
],
|
||||
"block": [],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
urls = [s["xmlUrl"] for s in sources]
|
||||
assert len(urls) == len(set(urls))
|
||||
assert len(sources) == 2
|
||||
|
||||
def test_block_domains_wildcard(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="Substack" xmlUrl="https://tech.substack.com/rss" type="rss"/>
|
||||
<outline title="Blog" xmlUrl="https://tech.blog/rss" type="rss"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
config = {
|
||||
"base_opml": str(opml_file),
|
||||
"add": [],
|
||||
"block": [],
|
||||
"block_domains": ["*.substack.com"],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
assert len(sources) == 1
|
||||
assert sources[0]["xmlUrl"] == "https://tech.blog/rss"
|
||||
|
||||
def test_block_domains_exact(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="YouTube" xmlUrl="https://youtube.com/feed" type="rss"/>
|
||||
<outline title="Blog" xmlUrl="https://tech.blog/rss" type="rss"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
config = {
|
||||
"base_opml": str(opml_file),
|
||||
"add": [],
|
||||
"block": [],
|
||||
"block_domains": ["youtube.com"],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
assert len(sources) == 1
|
||||
assert sources[0]["xmlUrl"] == "https://tech.blog/rss"
|
||||
|
||||
def test_block_domains_subdomain(self, temp_dir):
|
||||
opml_content = """<?xml version="1.0"?>
|
||||
<opml version="2.0">
|
||||
<body>
|
||||
<outline title="Substack1" xmlUrl="https://substack.com/feed" type="rss"/>
|
||||
<outline title="Substack2" xmlUrl="https://ai.substack.com/feed" type="rss"/>
|
||||
<outline title="Blog" xmlUrl="https://tech.blog/rss" type="rss"/>
|
||||
</body>
|
||||
</opml>"""
|
||||
opml_file = temp_dir / "test.opml"
|
||||
opml_file.write_text(opml_content)
|
||||
|
||||
config = {
|
||||
"base_opml": str(opml_file),
|
||||
"add": [],
|
||||
"block": [],
|
||||
"block_domains": ["*.substack.com"],
|
||||
}
|
||||
sources = merge_sources(config)
|
||||
assert len(sources) == 1
|
||||
assert sources[0]["xmlUrl"] == "https://tech.blog/rss"
|
||||
|
||||
|
||||
class TestGetTimezone:
|
||||
"""测试时区获取"""
|
||||
|
||||
def test_get_timezone_from_config(self, sample_config):
|
||||
tz = get_timezone(sample_config)
|
||||
assert isinstance(tz, timezone)
|
||||
assert tz.utcoffset(datetime.now()).total_seconds() == 8 * 3600
|
||||
|
||||
def test_get_timezone_none_config(self):
|
||||
tz = get_timezone(None)
|
||||
assert isinstance(tz, timezone)
|
||||
|
||||
def test_get_timezone_no_timezone_hours(self):
|
||||
config = {"schedule": {}}
|
||||
tz = get_timezone(config)
|
||||
assert isinstance(tz, timezone)
|
||||
|
||||
def test_get_timezone_custom_hours(self):
|
||||
config = {"schedule": {"timezone_hours": -5}}
|
||||
tz = get_timezone(config)
|
||||
assert tz.utcoffset(datetime.now()).total_seconds() == -5 * 3600
|
||||
@@ -0,0 +1,190 @@
|
||||
"""RSS抓取模块测试"""
|
||||
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock, patch, AsyncMock
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from fetcher import (
|
||||
parse_entry_time,
|
||||
fetch_single_feed_async,
|
||||
fetch_all_feeds,
|
||||
DEFAULT_FEED_TIMEOUT,
|
||||
)
|
||||
|
||||
|
||||
class TestParseEntryTime:
|
||||
"""测试时间解析"""
|
||||
|
||||
def test_parse_published_parsed(self):
|
||||
entry = MagicMock()
|
||||
entry.published_parsed = (2024, 1, 15, 10, 30, 0, 0, 0, 0)
|
||||
|
||||
result = parse_entry_time(entry)
|
||||
assert result is not None
|
||||
assert result.year == 2024
|
||||
assert result.month == 1
|
||||
assert result.day == 15
|
||||
assert result.tzinfo == timezone.utc
|
||||
|
||||
def test_parse_updated_parsed(self):
|
||||
entry = MagicMock()
|
||||
entry.published_parsed = None
|
||||
entry.updated_parsed = (2024, 1, 15, 10, 30, 0, 0, 0, 0)
|
||||
|
||||
result = parse_entry_time(entry)
|
||||
assert result is not None
|
||||
assert result.year == 2024
|
||||
assert result.month == 1
|
||||
assert result.day == 15
|
||||
|
||||
def test_parse_no_time(self):
|
||||
entry = MagicMock()
|
||||
entry.published_parsed = None
|
||||
entry.updated_parsed = None
|
||||
|
||||
result = parse_entry_time(entry)
|
||||
assert result is None
|
||||
|
||||
|
||||
class TestFetchSingleFeedAsync:
|
||||
"""测试单源抓取"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_success(self, temp_dir):
|
||||
rss_content = """<?xml version="1.0"?>
|
||||
<rss version="2.0">
|
||||
<channel>
|
||||
<title>Test Feed</title>
|
||||
<item>
|
||||
<title>Article 1</title>
|
||||
<link>https://example.com/1</link>
|
||||
<pubDate>Mon, 15 Jan 2024 10:00:00 GMT</pubDate>
|
||||
<description>Test description</description>
|
||||
</item>
|
||||
</channel>
|
||||
</rss>"""
|
||||
|
||||
feed_info = {"title": "Test Feed", "xmlUrl": "http://test.com/rss"}
|
||||
cutoff = datetime(2024, 1, 1, tzinfo=timezone.utc)
|
||||
|
||||
mock_response = MagicMock()
|
||||
mock_response.status = 200
|
||||
mock_response.text = AsyncMock(return_value=rss_content)
|
||||
|
||||
mock_session = MagicMock()
|
||||
mock_session.__aenter__ = AsyncMock(return_value=mock_session)
|
||||
mock_session.__aexit__ = AsyncMock(return_value=None)
|
||||
mock_session.get = MagicMock(
|
||||
return_value=AsyncMock(
|
||||
__aenter__=AsyncMock(return_value=mock_response),
|
||||
__aexit__=AsyncMock(return_value=None),
|
||||
)
|
||||
)
|
||||
|
||||
with patch("aiohttp.ClientSession", return_value=mock_session):
|
||||
entries = await fetch_single_feed_async(
|
||||
feed_info, cutoff, session=mock_session
|
||||
)
|
||||
|
||||
assert len(entries) == 1
|
||||
assert entries[0]["title"] == "Article 1"
|
||||
assert entries[0]["link"] == "https://example.com/1"
|
||||
assert entries[0]["source"] == "Test Feed"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_http_error(self):
|
||||
feed_info = {"title": "Test Feed", "xmlUrl": "http://test.com/rss"}
|
||||
cutoff = datetime(2024, 1, 1, tzinfo=timezone.utc)
|
||||
|
||||
mock_response = MagicMock()
|
||||
mock_response.status = 404
|
||||
|
||||
mock_session = MagicMock()
|
||||
mock_session.get = MagicMock(
|
||||
return_value=AsyncMock(
|
||||
__aenter__=AsyncMock(return_value=mock_response),
|
||||
__aexit__=AsyncMock(return_value=None),
|
||||
)
|
||||
)
|
||||
|
||||
entries = await fetch_single_feed_async(feed_info, cutoff, session=mock_session)
|
||||
assert entries == []
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_timeout(self):
|
||||
feed_info = {"title": "Test Feed", "xmlUrl": "http://test.com/rss"}
|
||||
cutoff = datetime(2024, 1, 1, tzinfo=timezone.utc)
|
||||
|
||||
import aiohttp
|
||||
|
||||
mock_session = MagicMock()
|
||||
mock_session.get = MagicMock(side_effect=aiohttp.ServerTimeoutError())
|
||||
|
||||
entries = await fetch_single_feed_async(feed_info, cutoff, session=mock_session)
|
||||
assert entries == []
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_fetch_cutoff_filter(self):
|
||||
feed_info = {"title": "Test Feed", "xmlUrl": "http://test.com/rss"}
|
||||
cutoff = datetime(2024, 1, 10, tzinfo=timezone.utc)
|
||||
|
||||
import feedparser
|
||||
|
||||
with patch(
|
||||
"fetcher.fetch_single_feed_async", new_callable=AsyncMock
|
||||
) as mock_fetch:
|
||||
mock_fetch.return_value = [
|
||||
{
|
||||
"title": "New",
|
||||
"link": "https://example.com/new",
|
||||
"published": datetime(2024, 1, 15, tzinfo=timezone.utc),
|
||||
}
|
||||
]
|
||||
|
||||
result = await mock_fetch(feed_info, cutoff)
|
||||
|
||||
assert len(result) == 1
|
||||
|
||||
|
||||
class TestFetchAllFeeds:
|
||||
"""测试并发抓取"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_concurrent_limit(self):
|
||||
feeds = [
|
||||
{"title": f"Feed{i}", "xmlUrl": f"http://feed{i}.com/rss"}
|
||||
for i in range(20)
|
||||
]
|
||||
cutoff = datetime(2024, 1, 1, tzinfo=timezone.utc)
|
||||
|
||||
with patch(
|
||||
"fetcher.fetch_single_feed_async", new_callable=AsyncMock
|
||||
) as mock_fetch:
|
||||
mock_fetch.return_value = []
|
||||
await fetch_all_feeds(feeds, cutoff, max_workers=5)
|
||||
|
||||
assert mock_fetch.call_count == 20
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_empty_feeds(self):
|
||||
cutoff = datetime(2024, 1, 1, tzinfo=timezone.utc)
|
||||
entries = await fetch_all_feeds([], cutoff)
|
||||
assert entries == []
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_default_timeout(self):
|
||||
feed_info = {"title": "Test", "xmlUrl": "http://test.com"}
|
||||
cutoff = datetime.now(timezone.utc)
|
||||
|
||||
with patch(
|
||||
"fetcher.fetch_single_feed_async", new_callable=AsyncMock
|
||||
) as mock_fetch:
|
||||
mock_fetch.return_value = []
|
||||
|
||||
await mock_fetch(feed_info, cutoff, timeout=None)
|
||||
|
||||
mock_fetch.assert_called_once()
|
||||
@@ -0,0 +1,330 @@
|
||||
"""LLM模块测试"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock, MagicMock
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from llm import (
|
||||
load_prompt,
|
||||
_parse_llm_json_response,
|
||||
_split_entries_for_batch,
|
||||
_build_batch_prompt,
|
||||
_merge_scores,
|
||||
_score_single_batch,
|
||||
call_llm,
|
||||
check_llm_available,
|
||||
generate_immediate_push,
|
||||
score_batch,
|
||||
)
|
||||
|
||||
|
||||
class TestLoadPrompt:
|
||||
"""测试提示词加载"""
|
||||
|
||||
def test_load_prompt_basic(self, temp_dir):
|
||||
prompt_file = temp_dir / "test.txt"
|
||||
prompt_file.write_text("Hello {name}!")
|
||||
|
||||
result = load_prompt(str(prompt_file), name="World")
|
||||
assert result == "Hello World!"
|
||||
|
||||
def test_load_prompt_missing_file(self):
|
||||
with pytest.raises(FileNotFoundError):
|
||||
load_prompt("nonexistent.txt")
|
||||
|
||||
def test_load_prompt_with_braces(self, temp_dir):
|
||||
prompt_file = temp_dir / "test.txt"
|
||||
prompt_file.write_text("Hello {name}, curly braces: { }")
|
||||
|
||||
result = load_prompt(str(prompt_file), name="World")
|
||||
assert result == "Hello World, curly braces: { }"
|
||||
|
||||
def test_load_prompt_multiple_vars(self, temp_dir):
|
||||
prompt_file = temp_dir / "test.txt"
|
||||
prompt_file.write_text("{greeting} {name}, you have {count} messages")
|
||||
|
||||
result = load_prompt(str(prompt_file), greeting="Hi", name="Alice", count=5)
|
||||
assert result == "Hi Alice, you have 5 messages"
|
||||
|
||||
|
||||
class TestParseLlmJsonResponse:
|
||||
"""测试LLM响应解析"""
|
||||
|
||||
def test_parse_json_array(self):
|
||||
response = '[{"link": "https://example.com", "score": 80}]'
|
||||
result = _parse_llm_json_response(response)
|
||||
assert len(result) == 1
|
||||
assert result[0]["link"] == "https://example.com"
|
||||
assert result[0]["score"] == 80
|
||||
|
||||
def test_parse_with_markdown_codeblock(self):
|
||||
response = """```json
|
||||
[{"link": "https://example.com", "score": 80}]
|
||||
```"""
|
||||
result = _parse_llm_json_response(response)
|
||||
assert len(result) == 1
|
||||
|
||||
def test_parse_with_codeblock(self):
|
||||
response = """```
|
||||
[{"link": "https://example.com", "score": 80}]
|
||||
```"""
|
||||
result = _parse_llm_json_response(response)
|
||||
assert len(result) == 1
|
||||
|
||||
def test_parse_invalid_response(self):
|
||||
response = "This is not JSON at all"
|
||||
with pytest.raises(ValueError):
|
||||
_parse_llm_json_response(response)
|
||||
|
||||
|
||||
class TestSplitEntriesForBatch:
|
||||
"""测试条目分批"""
|
||||
|
||||
def test_split_empty(self):
|
||||
result = _split_entries_for_batch([])
|
||||
assert result == []
|
||||
|
||||
def test_split_single_batch(self):
|
||||
entries = [
|
||||
{
|
||||
"link": f"https://example.com/{i}",
|
||||
"title": f"Title{i}",
|
||||
"content": "x" * 100,
|
||||
}
|
||||
for i in range(5)
|
||||
]
|
||||
result = _split_entries_for_batch(entries, max_prompt_chars=10000)
|
||||
assert len(result) == 1
|
||||
|
||||
def test_split_multiple_batches(self):
|
||||
entries = [
|
||||
{
|
||||
"link": f"https://example.com/{i}",
|
||||
"title": f"Title{i}",
|
||||
"content": "x" * 5000,
|
||||
}
|
||||
for i in range(10)
|
||||
]
|
||||
result = _split_entries_for_batch(entries, max_prompt_chars=10000)
|
||||
assert len(result) > 1
|
||||
|
||||
|
||||
class TestBuildBatchPrompt:
|
||||
"""测试构建批量提示词"""
|
||||
|
||||
def test_build_batch_prompt_basic(self):
|
||||
entries = [
|
||||
{
|
||||
"link": "https://example.com/1",
|
||||
"title": "Title1",
|
||||
"source": "Source1",
|
||||
"published": "2024-01-15",
|
||||
"content": "Content",
|
||||
}
|
||||
]
|
||||
result = _build_batch_prompt(entries)
|
||||
assert "Title1" in result
|
||||
assert "https://example.com/1" in result
|
||||
|
||||
|
||||
class TestMergeScores:
|
||||
"""测试评分合并"""
|
||||
|
||||
def test_merge_scores_basic(self):
|
||||
entries = [
|
||||
{"link": "https://example.com/1", "title": "Title1"},
|
||||
{"link": "https://example.com/2", "title": "Title2"},
|
||||
]
|
||||
scores = [
|
||||
{
|
||||
"link": "https://example.com/1",
|
||||
"score": 85,
|
||||
"tags": ["AI"],
|
||||
"summary": "Summary1",
|
||||
},
|
||||
{
|
||||
"link": "https://example.com/2",
|
||||
"score": 70,
|
||||
"tags": ["Tech"],
|
||||
"summary": "Summary2",
|
||||
},
|
||||
]
|
||||
result = _merge_scores(entries, scores)
|
||||
|
||||
assert result[0]["score"] == 85
|
||||
assert result[0]["tags"] == ["AI"]
|
||||
assert result[1]["score"] == 70
|
||||
|
||||
def test_merge_scores_partial(self):
|
||||
entries = [
|
||||
{"link": "https://example.com/1", "title": "Title1", "score": 50},
|
||||
{"link": "https://example.com/2", "title": "Title2", "score": 60},
|
||||
]
|
||||
scores = [{"link": "https://example.com/1", "score": 85}]
|
||||
result = _merge_scores(entries, scores)
|
||||
|
||||
assert result[0]["score"] == 85
|
||||
assert result[1]["score"] == 60
|
||||
|
||||
|
||||
class TestCallLlm:
|
||||
"""测试LLM调用"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_call_llm_success(self):
|
||||
config = {
|
||||
"model": "gpt-4",
|
||||
"baseUrl": "https://api.openai.com/v1",
|
||||
"apiKeyName": "OPENAI_API_KEY",
|
||||
}
|
||||
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.return_value = "Test response"
|
||||
|
||||
result = await mock_call("Test prompt", config)
|
||||
|
||||
assert result == "Test response"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_call_llm_missing_key(self):
|
||||
config = {"model": "gpt-4", "apiKeyName": "MISSING_KEY"}
|
||||
|
||||
with pytest.raises(ValueError, match="未设置MISSING_KEY"):
|
||||
await call_llm("Test prompt", config)
|
||||
|
||||
|
||||
class TestLlmHealthCheck:
|
||||
"""测试LLM可用性检查"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_check_llm_available_success(self, sample_config):
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.return_value = "OK"
|
||||
|
||||
result = await check_llm_available(sample_config["llm"])
|
||||
|
||||
assert result == "OK"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_check_llm_available_empty_response(self, sample_config):
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.return_value = " "
|
||||
|
||||
with pytest.raises(RuntimeError, match="返回空响应"):
|
||||
await check_llm_available(sample_config["llm"])
|
||||
|
||||
|
||||
class TestImmediatePush:
|
||||
"""测试即时推送生成"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_generate_immediate_push_failure_returns_error(
|
||||
self, sample_entries, sample_config
|
||||
):
|
||||
with patch("llm.load_prompt", return_value="prompt"), patch(
|
||||
"llm.call_llm", new_callable=AsyncMock
|
||||
) as mock_call:
|
||||
mock_call.side_effect = RuntimeError("boom")
|
||||
|
||||
content, error = await generate_immediate_push(
|
||||
sample_entries[:1], sample_config["llm"], recent_push_context=""
|
||||
)
|
||||
|
||||
assert content == ""
|
||||
assert error == "生成即时推送失败: boom"
|
||||
|
||||
|
||||
class TestScoreBatch:
|
||||
"""测试批量评分"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_score_batch_empty(self, sample_config):
|
||||
result, errors = await score_batch([], sample_config["llm"])
|
||||
assert result == []
|
||||
assert errors == []
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_score_batch_single(self, sample_entries, sample_config):
|
||||
entries = sample_entries[:1]
|
||||
|
||||
mock_scores = [
|
||||
{
|
||||
"link": entries[0]["link"],
|
||||
"score": 85,
|
||||
"tags": ["AI"],
|
||||
"summary": "Test summary",
|
||||
}
|
||||
]
|
||||
|
||||
with patch("llm._score_single_batch", new_callable=AsyncMock) as mock_score:
|
||||
mock_score.return_value = (mock_scores, [])
|
||||
result, errors = await score_batch(entries, sample_config["llm"])
|
||||
|
||||
assert len(result) == 1
|
||||
assert result[0]["score"] == 85
|
||||
assert errors == []
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_score_single_batch_failure_returns_empty_results(
|
||||
self, sample_entries, sample_config
|
||||
):
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.side_effect = RuntimeError("boom")
|
||||
results, errors = await _score_single_batch(
|
||||
sample_entries[:2], sample_config["llm"]
|
||||
)
|
||||
|
||||
assert results == []
|
||||
assert errors == ["批次1 评分失败: boom"]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_score_single_batch_reconcile_partial_results(
|
||||
self, sample_entries, sample_config
|
||||
):
|
||||
entries = sample_entries[:2]
|
||||
llm_results = [
|
||||
{
|
||||
"link": entries[0]["link"],
|
||||
"score": 91,
|
||||
"tags": ["AI"],
|
||||
"summary": "Matched result",
|
||||
}
|
||||
]
|
||||
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.return_value = json.dumps(llm_results, ensure_ascii=False)
|
||||
results, errors = await _score_single_batch(entries, sample_config["llm"])
|
||||
|
||||
assert len(results) == 1
|
||||
assert results[0]["score"] == 91
|
||||
assert len(errors) == 1
|
||||
assert "评分结果异常" in errors[0]
|
||||
assert "输入2" in errors[0]
|
||||
assert "返回1" in errors[0]
|
||||
assert "匹配1" in errors[0]
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_score_single_batch_keeps_full_results(self, sample_entries, sample_config):
|
||||
entries = sample_entries[:3]
|
||||
llm_results = [
|
||||
{
|
||||
"link": entry["link"],
|
||||
"score": 88,
|
||||
"tags": ["AI"],
|
||||
"summary": f"Summary for {index}",
|
||||
}
|
||||
for index, entry in enumerate(entries, start=1)
|
||||
]
|
||||
|
||||
with patch("llm.call_llm", new_callable=AsyncMock) as mock_call:
|
||||
mock_call.return_value = json.dumps(llm_results, ensure_ascii=False)
|
||||
results, errors = await _score_single_batch(entries, sample_config["llm"])
|
||||
|
||||
assert len(results) == 3
|
||||
assert [result["link"] for result in results] == [entry["link"] for entry in entries]
|
||||
assert errors == []
|
||||
@@ -0,0 +1,101 @@
|
||||
"""测试新增 LLM 函数 (summarize_github_trending 等)"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from llm import summarize_github_trending, select_ai_related_hn, summarize_hackernews
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_summarize_github_trending_happy_path(tmp_path):
|
||||
prompt_path = tmp_path / "section_github.md"
|
||||
prompt_path.write_text("Repos: {repos_json}\nmax_items={max_items}", encoding="utf-8")
|
||||
|
||||
config = {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_github": str(prompt_path)},
|
||||
"sections": {"github_trending": {"max_items": 3}},
|
||||
}
|
||||
enriched = [{"full_name": "o/r", "readme_excerpt": "rm"}]
|
||||
|
||||
with patch("llm.call_llm", new=AsyncMock(return_value="## md")):
|
||||
md, err = await summarize_github_trending(enriched, config)
|
||||
|
||||
assert md == "## md"
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_summarize_github_trending_llm_failure_returns_error(tmp_path):
|
||||
prompt_path = tmp_path / "section_github.md"
|
||||
prompt_path.write_text("x {repos_json} {max_items}", encoding="utf-8")
|
||||
config = {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_github": str(prompt_path)},
|
||||
"sections": {"github_trending": {"max_items": 3}},
|
||||
}
|
||||
with patch("llm.call_llm", new=AsyncMock(side_effect=RuntimeError("boom"))):
|
||||
md, err = await summarize_github_trending([{"full_name": "o/r"}], config)
|
||||
assert md == ""
|
||||
assert "boom" in err
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_select_ai_related_hn_parses_id_array(tmp_path):
|
||||
prompt_path = tmp_path / "select.md"
|
||||
prompt_path.write_text("k={k} candidates={candidates_json}", encoding="utf-8")
|
||||
config = {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_hackernews_select": str(prompt_path)},
|
||||
}
|
||||
with patch("llm.call_llm", new=AsyncMock(return_value='["111", "222"]')):
|
||||
ids, err = await select_ai_related_hn(
|
||||
[{"id": "111"}, {"id": "222"}, {"id": "333"}], k=2, config=config
|
||||
)
|
||||
assert ids == ["111", "222"]
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_select_ai_related_hn_empty_array(tmp_path):
|
||||
prompt_path = tmp_path / "select.md"
|
||||
prompt_path.write_text("{k}{candidates_json}", encoding="utf-8")
|
||||
config = {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_hackernews_select": str(prompt_path)},
|
||||
}
|
||||
with patch("llm.call_llm", new=AsyncMock(return_value="[]")):
|
||||
ids, err = await select_ai_related_hn([{"id": "1"}], k=1, config=config)
|
||||
assert ids == []
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_summarize_hackernews_happy(tmp_path):
|
||||
prompt_path = tmp_path / "hn.md"
|
||||
prompt_path.write_text("{stories_json}", encoding="utf-8")
|
||||
config = {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_hackernews": str(prompt_path)},
|
||||
}
|
||||
with patch("llm.call_llm", new=AsyncMock(return_value="## HN summary")):
|
||||
md, err = await summarize_hackernews(
|
||||
[{"id": "1", "title": "t", "link_content": "x", "top_comments": []}], config
|
||||
)
|
||||
assert md == "## HN summary"
|
||||
assert err is None
|
||||
@@ -0,0 +1,285 @@
|
||||
"""主程序逻辑测试"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta, date
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, MagicMock, AsyncMock
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from main import (
|
||||
now_local,
|
||||
parse_time_to_local,
|
||||
calculate_push_times,
|
||||
collect_entries_for_push,
|
||||
main as run_main,
|
||||
)
|
||||
|
||||
|
||||
class TestNowLocal:
|
||||
"""测试获取本地时间"""
|
||||
|
||||
def test_now_local_with_config(self, sample_config):
|
||||
result = now_local(sample_config)
|
||||
assert isinstance(result, datetime)
|
||||
assert result.tzinfo is not None
|
||||
|
||||
def test_now_local_without_config(self):
|
||||
result = now_local()
|
||||
assert isinstance(result, datetime)
|
||||
|
||||
|
||||
class TestParseTimeToLocal:
|
||||
"""测试时间解析"""
|
||||
|
||||
def test_parse_iso_format(self, sample_config):
|
||||
result = parse_time_to_local("2024-01-15T10:30:00+00:00", sample_config)
|
||||
assert result is not None
|
||||
assert result.year == 2024
|
||||
assert result.month == 1
|
||||
assert result.day == 15
|
||||
|
||||
def test_parse_with_z_suffix(self, sample_config):
|
||||
result = parse_time_to_local("2024-01-15T10:30:00Z", sample_config)
|
||||
assert result is not None
|
||||
assert result.year == 2024
|
||||
|
||||
def test_parse_invalid_format(self, sample_config):
|
||||
result = parse_time_to_local("not-a-date", sample_config)
|
||||
assert result is None
|
||||
|
||||
def test_parse_none(self, sample_config):
|
||||
result = parse_time_to_local("", sample_config)
|
||||
assert result is None
|
||||
|
||||
|
||||
class TestCalculatePushTimes:
|
||||
"""测试推送时间计算"""
|
||||
|
||||
def test_calculate_single_cron(self, sample_config):
|
||||
times = calculate_push_times(["30 8 * * *"], config=sample_config)
|
||||
assert len(times) == 1
|
||||
assert times[0].hour == 8
|
||||
assert times[0].minute == 30
|
||||
|
||||
def test_calculate_multiple_crons(self, sample_config):
|
||||
times = calculate_push_times(["0 8 * * *", "0 17 * * *"], config=sample_config)
|
||||
assert len(times) == 2
|
||||
hours = [t.hour for t in times]
|
||||
assert 8 in hours
|
||||
assert 17 in hours
|
||||
|
||||
def test_calculate_with_offset(self, sample_config):
|
||||
times = calculate_push_times(["0 8 * * *"], offset_days=1, config=sample_config)
|
||||
assert len(times) == 1
|
||||
expected_date = (datetime.now(timezone.utc) + timedelta(days=1)).date()
|
||||
assert times[0].date() == expected_date
|
||||
|
||||
def test_calculate_invalid_cron(self, sample_config):
|
||||
times = calculate_push_times(["invalid cron"], config=sample_config)
|
||||
assert times == []
|
||||
|
||||
|
||||
class TestCollectEntriesForPush:
|
||||
"""测试收集推送条目"""
|
||||
|
||||
def test_collect_no_files(self, temp_dir):
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=None, context_days=2, min_score=60, data_dir=str(temp_dir)
|
||||
)
|
||||
assert to_push == []
|
||||
assert context == []
|
||||
|
||||
def test_collect_with_low_score(self, temp_dir):
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
data = {
|
||||
"meta": {"date": now.date().isoformat()},
|
||||
"entries": [
|
||||
{
|
||||
"title": "Low Score",
|
||||
"link": "https://example.com/1",
|
||||
"score": 30,
|
||||
"fetched_at": now.isoformat(),
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
fetch_file = temp_dir / f"fetch-{now.date().isoformat()}.json"
|
||||
with open(fetch_file, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=None, context_days=2, min_score=60, data_dir=str(temp_dir)
|
||||
)
|
||||
|
||||
assert len(to_push) == 0
|
||||
|
||||
def test_collect_with_high_score(self, temp_dir):
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
data = {
|
||||
"meta": {"date": now.date().isoformat()},
|
||||
"entries": [
|
||||
{
|
||||
"title": "High Score",
|
||||
"link": "https://example.com/1",
|
||||
"score": 85,
|
||||
"fetched_at": now.isoformat(),
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
fetch_file = temp_dir / f"fetch-{now.date().isoformat()}.json"
|
||||
with open(fetch_file, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=None, context_days=2, min_score=60, data_dir=str(temp_dir)
|
||||
)
|
||||
|
||||
assert len(to_push) == 1
|
||||
assert to_push[0]["score"] == 85
|
||||
|
||||
def test_collect_with_last_push_time(self, temp_dir):
|
||||
now = datetime.now(timezone.utc)
|
||||
last_push = now - timedelta(hours=2)
|
||||
|
||||
data = {
|
||||
"meta": {"date": now.date().isoformat()},
|
||||
"entries": [
|
||||
{
|
||||
"title": "New Entry",
|
||||
"link": "https://example.com/1",
|
||||
"score": 80,
|
||||
"fetched_at": now.isoformat(),
|
||||
},
|
||||
{
|
||||
"title": "Old Entry",
|
||||
"link": "https://example.com/2",
|
||||
"score": 80,
|
||||
"fetched_at": last_push.isoformat(),
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
fetch_file = temp_dir / f"fetch-{now.date().isoformat()}.json"
|
||||
with open(fetch_file, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=last_push,
|
||||
context_days=2,
|
||||
min_score=60,
|
||||
data_dir=str(temp_dir),
|
||||
)
|
||||
|
||||
assert len(to_push) == 1
|
||||
assert to_push[0]["title"] == "New Entry"
|
||||
|
||||
def test_collect_context_limit(self, temp_dir):
|
||||
now = datetime.now(timezone.utc)
|
||||
|
||||
entries = [
|
||||
{
|
||||
"title": f"Entry{i}",
|
||||
"link": f"https://example.com/{i}",
|
||||
"score": 50 + i,
|
||||
"fetched_at": now.isoformat(),
|
||||
}
|
||||
for i in range(60)
|
||||
]
|
||||
|
||||
data = {"meta": {"date": now.date().isoformat()}, "entries": entries}
|
||||
|
||||
fetch_file = temp_dir / f"fetch-{now.date().isoformat()}.json"
|
||||
with open(fetch_file, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=None, context_days=2, min_score=60, data_dir=str(temp_dir)
|
||||
)
|
||||
|
||||
assert len(context) <= 50
|
||||
|
||||
def test_collect_multi_day(self, temp_dir):
|
||||
from src.config import get_timezone
|
||||
|
||||
tz = get_timezone()
|
||||
today = datetime.now(tz)
|
||||
yesterday = today - timedelta(days=1)
|
||||
|
||||
today_data = {
|
||||
"meta": {"date": today.date().isoformat()},
|
||||
"entries": [
|
||||
{
|
||||
"title": "Today Entry",
|
||||
"link": "https://example.com/1",
|
||||
"score": 80,
|
||||
"fetched_at": today.isoformat(),
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
yesterday_data = {
|
||||
"meta": {"date": yesterday.date().isoformat()},
|
||||
"entries": [
|
||||
{
|
||||
"title": "Yesterday Entry",
|
||||
"link": "https://example.com/2",
|
||||
"score": 75,
|
||||
"fetched_at": yesterday.isoformat(),
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
(temp_dir / f"fetch-{today.date().isoformat()}.json").write_text(
|
||||
json.dumps(today_data)
|
||||
)
|
||||
(temp_dir / f"fetch-{yesterday.date().isoformat()}.json").write_text(
|
||||
json.dumps(yesterday_data)
|
||||
)
|
||||
|
||||
to_push, context = collect_entries_for_push(
|
||||
last_push_time=None, context_days=2, min_score=60, data_dir=str(temp_dir)
|
||||
)
|
||||
|
||||
assert len(to_push) >= 1
|
||||
|
||||
|
||||
class TestMainStartup:
|
||||
"""测试主程序启动流程"""
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_main_checks_llm_before_starting_loops(self, sample_config):
|
||||
with patch("main.load_config", return_value=sample_config), patch(
|
||||
"main.check_llm_available", new_callable=AsyncMock
|
||||
) as mock_check, patch(
|
||||
"main.fetch_loop", new_callable=AsyncMock
|
||||
) as mock_fetch_loop, patch(
|
||||
"main.push_loop", new_callable=AsyncMock
|
||||
) as mock_push_loop:
|
||||
await run_main()
|
||||
|
||||
mock_check.assert_awaited_once_with(sample_config["llm"])
|
||||
mock_fetch_loop.assert_awaited_once_with(sample_config)
|
||||
mock_push_loop.assert_awaited_once_with(sample_config)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_main_exits_when_llm_health_check_fails(self, sample_config):
|
||||
with patch("main.load_config", return_value=sample_config), patch(
|
||||
"main.check_llm_available", new_callable=AsyncMock
|
||||
) as mock_check, patch(
|
||||
"main.fetch_loop", new_callable=AsyncMock
|
||||
) as mock_fetch_loop, patch(
|
||||
"main.push_loop", new_callable=AsyncMock
|
||||
) as mock_push_loop:
|
||||
mock_check.side_effect = RuntimeError("health failed")
|
||||
|
||||
await run_main()
|
||||
|
||||
mock_check.assert_awaited_once_with(sample_config["llm"])
|
||||
mock_fetch_loop.assert_not_called()
|
||||
mock_push_loop.assert_not_called()
|
||||
@@ -0,0 +1,123 @@
|
||||
"""测试早报四模块编排:gather + insights 串行 + sentinel 拼装 + 失败隔离"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.main import _run_morning_push
|
||||
|
||||
|
||||
def _insights_meta() -> dict:
|
||||
return {
|
||||
"title": "📰 AI Daily 每日精选 | 2026-05-22",
|
||||
"lead": "lead text",
|
||||
"highlights": ["a"],
|
||||
"profile": "morning",
|
||||
"date": "2026-05-22",
|
||||
"excerpt": "",
|
||||
"seotitle": "",
|
||||
"seodescription": "",
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_assembles_all_four_sections(sample_config):
|
||||
sample_config["filter"]["push_context_days"] = 5
|
||||
|
||||
sent = {}
|
||||
|
||||
async def fake_send(content, push_cfg, title=None, metadata=None):
|
||||
sent["content"] = content
|
||||
sent["metadata"] = metadata
|
||||
|
||||
saved = {}
|
||||
|
||||
def fake_save(
|
||||
filepath,
|
||||
content,
|
||||
source_count,
|
||||
total_entries,
|
||||
profile="default",
|
||||
metadata=None,
|
||||
):
|
||||
saved["profile"] = profile
|
||||
saved["content"] = content
|
||||
saved["metadata"] = metadata
|
||||
|
||||
with patch(
|
||||
"src.main.run_rss_section", new=AsyncMock(return_value=("R", None, None))
|
||||
), patch(
|
||||
"src.main.run_github_section", new=AsyncMock(return_value=("G", None))
|
||||
), patch(
|
||||
"src.main.run_hackernews_section", new=AsyncMock(return_value=("H", None))
|
||||
), patch(
|
||||
"src.main.run_insights_section",
|
||||
new=AsyncMock(return_value=("I", _insights_meta(), None)),
|
||||
), patch(
|
||||
"src.main.send_to_platforms", new=AsyncMock(side_effect=fake_send)
|
||||
), patch(
|
||||
"src.main.save_push_file", side_effect=fake_save
|
||||
):
|
||||
await _run_morning_push(sample_config)
|
||||
|
||||
assert "SECTION:rss" in sent["content"]
|
||||
assert "SECTION:github" in sent["content"]
|
||||
assert "SECTION:hackernews" in sent["content"]
|
||||
assert "SECTION:insights" in sent["content"]
|
||||
assert sent["metadata"]["profile"] == "morning"
|
||||
assert saved["profile"] == "morning"
|
||||
assert saved["metadata"]["lead"] == "lead text"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_rss_failure_raises_to_caller(sample_config):
|
||||
sample_config["filter"]["push_context_days"] = 5
|
||||
|
||||
with patch(
|
||||
"src.main.run_rss_section",
|
||||
new=AsyncMock(return_value=("", None, "compose_digest 失败")),
|
||||
), patch(
|
||||
"src.main.run_github_section", new=AsyncMock(return_value=("G", None))
|
||||
), patch(
|
||||
"src.main.run_hackernews_section", new=AsyncMock(return_value=("H", None))
|
||||
), patch(
|
||||
"src.main.notify_llm_errors", new=AsyncMock()
|
||||
):
|
||||
with pytest.raises(RuntimeError):
|
||||
await _run_morning_push(sample_config)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_section_failure_degrades_to_omission(sample_config):
|
||||
sample_config["filter"]["push_context_days"] = 5
|
||||
|
||||
sent = {}
|
||||
|
||||
async def fake_send(content, push_cfg, title=None, metadata=None):
|
||||
sent["content"] = content
|
||||
|
||||
with patch(
|
||||
"src.main.run_rss_section", new=AsyncMock(return_value=("R", None, None))
|
||||
), patch(
|
||||
"src.main.run_github_section", new=AsyncMock(return_value=("", "gh down"))
|
||||
), patch(
|
||||
"src.main.run_hackernews_section", new=AsyncMock(return_value=("H", None))
|
||||
), patch(
|
||||
"src.main.run_insights_section",
|
||||
new=AsyncMock(return_value=("I", _insights_meta(), None)),
|
||||
), patch(
|
||||
"src.main.notify_llm_errors", new=AsyncMock()
|
||||
), patch(
|
||||
"src.main.send_to_platforms", new=AsyncMock(side_effect=fake_send)
|
||||
), patch(
|
||||
"src.main.save_push_file"
|
||||
):
|
||||
await _run_morning_push(sample_config)
|
||||
|
||||
assert "SECTION:rss" in sent["content"]
|
||||
assert "SECTION:github" not in sent["content"]
|
||||
assert "SECTION:hackernews" in sent["content"]
|
||||
@@ -0,0 +1,43 @@
|
||||
"""测试 run_push_job 的早报/默认路径分发"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.main import run_push_job
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_default_path_when_not_morning(sample_config):
|
||||
sample_config["schedule"]["push_cron"] = ["0 8 * * *", "0 17 * * *"]
|
||||
sample_config["filter"]["push_context_days"] = 5
|
||||
|
||||
with patch("src.main.is_morning_push", return_value=False), patch(
|
||||
"src.main._run_default_push", new=AsyncMock(return_value=None)
|
||||
) as default_path, patch(
|
||||
"src.main._run_morning_push", new=AsyncMock(return_value=None)
|
||||
) as morning_path:
|
||||
await run_push_job(sample_config)
|
||||
|
||||
default_path.assert_awaited_once()
|
||||
morning_path.assert_not_awaited()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_morning_path_when_morning(sample_config):
|
||||
sample_config["schedule"]["push_cron"] = ["0 8 * * *", "0 17 * * *"]
|
||||
sample_config["filter"]["push_context_days"] = 5
|
||||
|
||||
with patch("src.main.is_morning_push", return_value=True), patch(
|
||||
"src.main._run_default_push", new=AsyncMock(return_value=None)
|
||||
) as default_path, patch(
|
||||
"src.main._run_morning_push", new=AsyncMock(return_value=None)
|
||||
) as morning_path:
|
||||
await run_push_job(sample_config)
|
||||
|
||||
morning_path.assert_awaited_once()
|
||||
default_path.assert_not_awaited()
|
||||
@@ -0,0 +1,60 @@
|
||||
"""测试早报判定:push_cron 最近最早匹配"""
|
||||
|
||||
import sys
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.main import is_morning_push
|
||||
|
||||
|
||||
TZ = timezone(timedelta(hours=8))
|
||||
|
||||
|
||||
def _cfg(push_cron):
|
||||
return {"schedule": {"push_cron": push_cron, "timezone_hours": 8}}
|
||||
|
||||
|
||||
def test_returns_false_when_push_cron_empty():
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 0, tzinfo=TZ), {"schedule": {}}) is False
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 0, tzinfo=TZ), _cfg([])) is False
|
||||
|
||||
|
||||
def test_single_cron_always_morning():
|
||||
"""push_cron 只有一项时,任何触发(含手动 / 非整点)都视为早报"""
|
||||
cfg = _cfg(["0 8 * * *"])
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 0, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 12, 30, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 23, 59, tzinfo=TZ), cfg) is True
|
||||
|
||||
|
||||
def test_earliest_cron_match_is_morning():
|
||||
"""触发时刻离最早 cron 最近 → 早报"""
|
||||
cfg = _cfg(["0 8 * * *", "0 17 * * *"])
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 0, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 30, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 6, 0, tzinfo=TZ), cfg) is True
|
||||
|
||||
|
||||
def test_later_cron_match_not_morning():
|
||||
"""触发时刻离非最早 cron 最近 → 默认"""
|
||||
cfg = _cfg(["0 8 * * *", "0 17 * * *"])
|
||||
assert is_morning_push(datetime(2026, 5, 17, 17, 0, tzinfo=TZ), cfg) is False
|
||||
assert is_morning_push(datetime(2026, 5, 17, 16, 30, tzinfo=TZ), cfg) is False
|
||||
assert is_morning_push(datetime(2026, 5, 17, 22, 0, tzinfo=TZ), cfg) is False
|
||||
|
||||
|
||||
def test_drift_tolerance_via_closest_match():
|
||||
"""无显式容差,但「最近匹配」自动吸附小幅漂移 (08:01 仍归 08:00)"""
|
||||
cfg = _cfg(["0 8 * * *", "0 17 * * *"])
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 1, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 17, 1, tzinfo=TZ), cfg) is False
|
||||
|
||||
|
||||
def test_three_crons_only_earliest_is_morning():
|
||||
"""三条 cron 时,只有最早那条对应的触发是早报"""
|
||||
cfg = _cfg(["0 8 * * *", "0 12 * * *", "0 20 * * *"])
|
||||
assert is_morning_push(datetime(2026, 5, 17, 8, 0, tzinfo=TZ), cfg) is True
|
||||
assert is_morning_push(datetime(2026, 5, 17, 12, 0, tzinfo=TZ), cfg) is False
|
||||
assert is_morning_push(datetime(2026, 5, 17, 20, 0, tzinfo=TZ), cfg) is False
|
||||
@@ -0,0 +1,87 @@
|
||||
"""内容处理模块测试"""
|
||||
|
||||
import pytest
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from processor import html_to_markdown
|
||||
|
||||
|
||||
class TestHtmlToMarkdown:
|
||||
"""测试HTML转Markdown"""
|
||||
|
||||
def test_convert_basic_html(self):
|
||||
html = "<p>Hello World</p>"
|
||||
result = html_to_markdown(html)
|
||||
assert "Hello World" in result
|
||||
|
||||
def test_convert_with_links(self):
|
||||
html = '<a href="https://example.com">Click here</a>'
|
||||
result = html_to_markdown(html)
|
||||
assert "[Click here](https://example.com)" in result
|
||||
|
||||
def test_convert_with_images(self):
|
||||
html = '<img src="https://example.com/image.png" alt="Image">'
|
||||
result = html_to_markdown(html)
|
||||
assert "" in result
|
||||
|
||||
def test_convert_with_headings(self):
|
||||
html = "<h1>Title</h1><h2>Subtitle</h2>"
|
||||
result = html_to_markdown(html)
|
||||
assert "# Title" in result
|
||||
assert "## Subtitle" in result
|
||||
|
||||
def test_convert_with_lists(self):
|
||||
html = "<ul><li>Item 1</li><li>Item 2</li></ul>"
|
||||
result = html_to_markdown(html)
|
||||
assert "Item 1" in result
|
||||
assert "Item 2" in result
|
||||
|
||||
def test_convert_with_strong_emphasis(self):
|
||||
html = "<strong>Bold</strong> and <em>italic</em>"
|
||||
result = html_to_markdown(html)
|
||||
assert "**Bold**" in result
|
||||
assert "*italic*" in result
|
||||
|
||||
def test_relative_link_conversion(self):
|
||||
html = '<a href="/article/123">Read more</a>'
|
||||
result = html_to_markdown(html, base_url="https://example.com/blog")
|
||||
assert "https://example.com/article/123" in result
|
||||
|
||||
def test_relative_image_conversion(self):
|
||||
html = '<img src="/images/logo.png">'
|
||||
result = html_to_markdown(html, base_url="https://example.com")
|
||||
assert "https://example.com/images/logo.png" in result
|
||||
|
||||
def test_absolute_link_unchanged(self):
|
||||
html = '<a href="https://other.com/page">Link</a>'
|
||||
result = html_to_markdown(html, base_url="https://example.com")
|
||||
assert "https://other.com/page" in result
|
||||
|
||||
def test_remove_xgo_ing_link(self):
|
||||
html = "<p>Content</p><p>[⚡ Powered by xgo.ing](https://xgo.ing)</p>"
|
||||
result = html_to_markdown(html)
|
||||
assert "xgo.ing" not in result
|
||||
assert "Content" in result
|
||||
|
||||
def test_remove_xgo_ing_link_with_slash(self):
|
||||
html = "<p>Content</p><p>[⚡ Powered by xgo.ing](https://xgo.ing/)</p>"
|
||||
result = html_to_markdown(html)
|
||||
assert "xgo.ing" not in result
|
||||
|
||||
def test_clean_extra_newlines(self):
|
||||
html = "<p>Line 1</p>\n\n\n\n<p>Line 2</p>"
|
||||
result = html_to_markdown(html)
|
||||
assert "\n\n\n\n" not in result
|
||||
|
||||
def test_empty_html(self):
|
||||
result = html_to_markdown("")
|
||||
assert result.strip() == ""
|
||||
|
||||
def test_html_with_nbsp(self):
|
||||
html = "<p>Hello World</p>"
|
||||
result = html_to_markdown(html)
|
||||
assert "Hello" in result
|
||||
assert "World" in result
|
||||
@@ -0,0 +1,209 @@
|
||||
"""推送模块测试"""
|
||||
|
||||
import os
|
||||
import pytest
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock, MagicMock
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from push.discord import DiscordPlatform
|
||||
from push.feishu import FeishuPlatform
|
||||
from push import create_platform
|
||||
|
||||
|
||||
class TestDiscordPlatform:
|
||||
"""测试Discord推送"""
|
||||
|
||||
def test_validate_config_valid(self):
|
||||
config = {
|
||||
"enabled": True,
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/123456/abcdef"},
|
||||
):
|
||||
platform = DiscordPlatform(config)
|
||||
assert platform.validate_config(config) is True
|
||||
|
||||
def test_validate_config_disabled(self):
|
||||
config = {
|
||||
"enabled": False,
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/123456/abcdef"},
|
||||
):
|
||||
platform = DiscordPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_validate_config_missing_webhook(self):
|
||||
config = {"enabled": True, "apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": ""}):
|
||||
platform = DiscordPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_validate_config_invalid_url(self):
|
||||
config = {"enabled": True, "apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": "not-a-valid-url"}):
|
||||
platform = DiscordPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_validate_config_wrong_domain(self):
|
||||
config = {"enabled": True, "apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
with patch.dict(
|
||||
os.environ, {"DISCORD_WEBHOOK_URL": "https://example.com/webhook"}
|
||||
):
|
||||
platform = DiscordPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_split_content_short(self):
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": "https://test.com"}):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
short_content = "Hello"
|
||||
chunks = platform._split_content(short_content, limit=2000)
|
||||
assert len(chunks) == 1
|
||||
assert chunks[0] == "Hello"
|
||||
|
||||
def test_split_content_long_message(self):
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": "https://test.com"}):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
long_content = "A\n" * 2500
|
||||
chunks = platform._split_content(long_content, limit=2000)
|
||||
assert len(chunks) > 1
|
||||
assert all(len(c) <= 2000 for c in chunks)
|
||||
|
||||
def test_split_content_exact_boundary(self):
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": "https://test.com"}):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
content = "A" * 2000
|
||||
chunks = platform._split_content(content, limit=2000)
|
||||
assert len(chunks) == 1
|
||||
|
||||
def test_split_content_unicode(self):
|
||||
with patch.dict(os.environ, {"DISCORD_WEBHOOK_URL": "https://test.com"}):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
content = "你好" * 500
|
||||
chunks = platform._split_content(content, limit=100)
|
||||
assert len(chunks) >= 1
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_send_success(self):
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/test/abc"},
|
||||
):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
|
||||
with patch.object(platform, "send", new_callable=AsyncMock) as mock_send:
|
||||
mock_send.return_value = True
|
||||
|
||||
result = await mock_send("Test message")
|
||||
|
||||
assert result is True
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_send_failure(self):
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/test/abc"},
|
||||
):
|
||||
config = {"apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = DiscordPlatform(config)
|
||||
|
||||
with patch.object(platform, "send", new_callable=AsyncMock) as mock_send:
|
||||
mock_send.return_value = False
|
||||
|
||||
result = await mock_send("Test message")
|
||||
|
||||
assert result is False
|
||||
|
||||
|
||||
class TestFeishuPlatform:
|
||||
"""测试飞书推送"""
|
||||
|
||||
def test_validate_config_valid(self):
|
||||
config = {
|
||||
"enabled": True,
|
||||
"apiKeyName": "FEISHU_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(os.environ, {"FEISHU_WEBHOOK_URL": "https://open.feishu.cn/open-apis/bot/v2/hook/test"}):
|
||||
platform = FeishuPlatform(config)
|
||||
assert platform.validate_config(config) is True
|
||||
|
||||
def test_validate_config_disabled(self):
|
||||
config = {
|
||||
"enabled": False,
|
||||
"apiKeyName": "FEISHU_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(os.environ, {"FEISHU_WEBHOOK_URL": "https://open.feishu.cn/open-apis/bot/v2/hook/test"}):
|
||||
platform = FeishuPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_validate_config_missing_key(self):
|
||||
config = {"enabled": True, "apiKeyName": "FEISHU_WEBHOOK_URL"}
|
||||
with patch.dict(os.environ, {"FEISHU_WEBHOOK_URL": ""}):
|
||||
platform = FeishuPlatform(config)
|
||||
assert platform.validate_config(config) is False
|
||||
|
||||
def test_validate_config_any_non_empty_webhook(self):
|
||||
config = {"enabled": True, "apiKeyName": "FEISHU_WEBHOOK_URL"}
|
||||
with patch.dict(os.environ, {"FEISHU_WEBHOOK_URL": "https://open.feishu.cn/open-apis/bot/v2/hook/test"}):
|
||||
platform = FeishuPlatform(config)
|
||||
assert platform.validate_config(config) is True
|
||||
|
||||
|
||||
class TestPushFactory:
|
||||
"""测试平台工厂"""
|
||||
|
||||
def test_create_enabled_platform(self):
|
||||
config = {
|
||||
"enabled": True,
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/123/abc"},
|
||||
):
|
||||
platform = create_platform("discord", config)
|
||||
assert platform is not None
|
||||
|
||||
def test_create_disabled_platform_returns_none(self):
|
||||
config = {"enabled": False, "apiKeyName": "DISCORD_WEBHOOK_URL"}
|
||||
platform = create_platform("discord", config)
|
||||
assert platform is None
|
||||
|
||||
def test_create_unknown_platform_raises(self):
|
||||
with pytest.raises(ValueError):
|
||||
create_platform("unknown", {})
|
||||
|
||||
def test_create_feishu_platform(self):
|
||||
config = {
|
||||
"enabled": True,
|
||||
"apiKeyName": "FEISHU_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(os.environ, {"FEISHU_WEBHOOK_URL": "https://open.feishu.cn/open-apis/bot/v2/hook/test"}):
|
||||
platform = create_platform("feishu", config)
|
||||
assert platform is not None
|
||||
assert isinstance(platform, FeishuPlatform)
|
||||
|
||||
def test_create_discord_platform(self):
|
||||
config = {
|
||||
"enabled": True,
|
||||
"apiKeyName": "DISCORD_WEBHOOK_URL",
|
||||
}
|
||||
with patch.dict(
|
||||
os.environ,
|
||||
{"DISCORD_WEBHOOK_URL": "https://discord.com/api/webhooks/test/abc"},
|
||||
):
|
||||
platform = create_platform("discord", config)
|
||||
assert platform is not None
|
||||
assert isinstance(platform, DiscordPlatform)
|
||||
@@ -0,0 +1,107 @@
|
||||
"""测试 GitHub REST API enrich 字段映射、archived 过滤、token 鉴权头"""
|
||||
|
||||
import base64
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.github.repo_enricher import enrich_repo, _auth_headers
|
||||
|
||||
|
||||
def test_auth_headers_with_token(monkeypatch):
|
||||
monkeypatch.setenv("GITHUB_TOKEN", "ghp_secret")
|
||||
headers = _auth_headers(token_env="GITHUB_TOKEN")
|
||||
assert headers["Authorization"] == "Bearer ghp_secret"
|
||||
assert headers["Accept"] == "application/vnd.github+json"
|
||||
|
||||
|
||||
def test_auth_headers_without_token(monkeypatch):
|
||||
monkeypatch.delenv("GITHUB_TOKEN", raising=False)
|
||||
headers = _auth_headers(token_env="GITHUB_TOKEN")
|
||||
assert "Authorization" not in headers
|
||||
assert headers["Accept"] == "application/vnd.github+json"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_repo_merges_metadata_and_readme():
|
||||
readme_body = "# Title\n\nProject description here."
|
||||
readme_b64 = base64.b64encode(readme_body.encode("utf-8")).decode("ascii")
|
||||
|
||||
metadata_payload = {
|
||||
"description": "real desc",
|
||||
"topics": ["llm", "rag"],
|
||||
"license": {"spdx_id": "MIT"},
|
||||
"pushed_at": "2026-05-16T10:00:00Z",
|
||||
"archived": False,
|
||||
}
|
||||
readme_payload = {"content": readme_b64, "encoding": "base64"}
|
||||
|
||||
async def fake_get_json(session, url, **kwargs):
|
||||
if url.endswith("/readme"):
|
||||
return readme_payload
|
||||
return metadata_payload
|
||||
|
||||
base = {
|
||||
"url": "https://github.com/o/r",
|
||||
"full_name": "o/r",
|
||||
"description": "from trending",
|
||||
"language": "Python",
|
||||
"stars_today": 100,
|
||||
"stars_total": 5000,
|
||||
}
|
||||
|
||||
with patch(
|
||||
"src.sections.github.repo_enricher._get_json", new=AsyncMock(side_effect=fake_get_json)
|
||||
):
|
||||
enriched = await enrich_repo(
|
||||
session=MagicMock(), repo=base, token_env="GITHUB_TOKEN", readme_max_chars=200
|
||||
)
|
||||
|
||||
assert enriched["topics"] == ["llm", "rag"]
|
||||
assert enriched["license"] == "MIT"
|
||||
assert enriched["pushed_at"] == "2026-05-16T10:00:00Z"
|
||||
assert "Project description" in enriched["readme_excerpt"]
|
||||
assert enriched["stars_today"] == 100 # trending 已有字段保留
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_repo_returns_none_when_archived():
|
||||
metadata_payload = {"archived": True, "topics": [], "pushed_at": "x"}
|
||||
|
||||
async def fake_get_json(session, url, **kwargs):
|
||||
if url.endswith("/readme"):
|
||||
return {"content": ""}
|
||||
return metadata_payload
|
||||
|
||||
base = {"url": "https://github.com/o/r", "full_name": "o/r"}
|
||||
with patch(
|
||||
"src.sections.github.repo_enricher._get_json", new=AsyncMock(side_effect=fake_get_json)
|
||||
):
|
||||
result = await enrich_repo(
|
||||
session=MagicMock(), repo=base, token_env="GITHUB_TOKEN", readme_max_chars=200
|
||||
)
|
||||
assert result is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_repo_truncates_readme():
|
||||
readme_body = "x" * 5000
|
||||
readme_b64 = base64.b64encode(readme_body.encode("utf-8")).decode("ascii")
|
||||
|
||||
async def fake_get_json(session, url, **kwargs):
|
||||
if url.endswith("/readme"):
|
||||
return {"content": readme_b64, "encoding": "base64"}
|
||||
return {"archived": False, "topics": [], "pushed_at": "p"}
|
||||
|
||||
base = {"url": "https://github.com/o/r", "full_name": "o/r"}
|
||||
with patch(
|
||||
"src.sections.github.repo_enricher._get_json", new=AsyncMock(side_effect=fake_get_json)
|
||||
):
|
||||
enriched = await enrich_repo(
|
||||
session=MagicMock(), repo=base, token_env="GITHUB_TOKEN", readme_max_chars=100
|
||||
)
|
||||
assert len(enriched["readme_excerpt"]) == 100
|
||||
@@ -0,0 +1,40 @@
|
||||
"""测试 GitHub trending HTML 解析"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.github.trending_scraper import parse_trending_html
|
||||
|
||||
|
||||
def test_parse_trending_html_returns_repo_dicts():
|
||||
fixture = (
|
||||
Path(__file__).parent / "fixtures" / "github_trending.html"
|
||||
).read_text(encoding="utf-8")
|
||||
|
||||
repos = parse_trending_html(fixture)
|
||||
|
||||
assert len(repos) > 0
|
||||
first = repos[0]
|
||||
assert first["url"].startswith("https://github.com/")
|
||||
assert "/" in first["full_name"]
|
||||
assert isinstance(first["stars_today"], int)
|
||||
assert isinstance(first["stars_total"], int)
|
||||
# description / language 可为空字符串但必须是 str
|
||||
assert isinstance(first["description"], str)
|
||||
assert isinstance(first["language"], str)
|
||||
|
||||
|
||||
def test_parse_trending_html_dedupes_by_url():
|
||||
fixture = (
|
||||
Path(__file__).parent / "fixtures" / "github_trending.html"
|
||||
).read_text(encoding="utf-8")
|
||||
repos = parse_trending_html(fixture)
|
||||
urls = [r["url"] for r in repos]
|
||||
assert len(urls) == len(set(urls))
|
||||
|
||||
|
||||
def test_parse_trending_html_empty_input():
|
||||
assert parse_trending_html("") == []
|
||||
assert parse_trending_html("<html><body>no repos</body></html>") == []
|
||||
@@ -0,0 +1,145 @@
|
||||
"""测试 GitHub 板块编排:抓取 → history 过滤 → enrich → LLM 总结"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.github.section import run_github_section
|
||||
|
||||
# Stub summarize_github_trending until Task 11 provides it
|
||||
import src.llm as _llm
|
||||
if not hasattr(_llm, "summarize_github_trending"):
|
||||
async def _stub(*a, **k):
|
||||
return "", None
|
||||
_llm.summarize_github_trending = _stub
|
||||
|
||||
|
||||
def _cfg(history_file: str, max_deep_dive: int = 10) -> dict:
|
||||
return {
|
||||
"filter": {"keep_days": 7},
|
||||
"sections": {
|
||||
"github_trending": {
|
||||
"enabled": True,
|
||||
"max_items": 3,
|
||||
"max_deep_dive": max_deep_dive,
|
||||
"readme_max_chars": 3000,
|
||||
"history_file": history_file,
|
||||
"request_timeout": 10,
|
||||
"tokenName": "GITHUB_TOKEN",
|
||||
}
|
||||
},
|
||||
"llm": {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"section_github": "prompts/section_github.md"},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_disabled_returns_empty(tmp_path):
|
||||
cfg = _cfg(str(tmp_path / "h.json"))
|
||||
cfg["sections"]["github_trending"]["enabled"] = False
|
||||
md, err = await run_github_section(cfg, now=None)
|
||||
assert md == ""
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_no_candidates_after_history_returns_empty(tmp_path):
|
||||
history_path = tmp_path / "h.json"
|
||||
# 预置 history,使得今日 scrape 出来的 repo 都已存在
|
||||
history_path.write_text(
|
||||
'{"repos": {"https://github.com/a/b": "2026-05-16"}, "updated_at": "x"}',
|
||||
encoding="utf-8",
|
||||
)
|
||||
cfg = _cfg(str(history_path))
|
||||
|
||||
with patch(
|
||||
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
|
||||
), patch(
|
||||
"src.sections.github.section.parse_trending_html",
|
||||
return_value=[{"url": "https://github.com/a/b", "full_name": "a/b"}],
|
||||
):
|
||||
md, err = await run_github_section(cfg, now=None)
|
||||
|
||||
assert md == ""
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_happy_path_enriches_and_summarizes(tmp_path):
|
||||
history_path = tmp_path / "h.json"
|
||||
cfg = _cfg(str(history_path), max_deep_dive=10)
|
||||
|
||||
repos = [
|
||||
{
|
||||
"url": "https://github.com/o1/r1",
|
||||
"full_name": "o1/r1",
|
||||
"description": "d1",
|
||||
"language": "Python",
|
||||
"stars_today": 100,
|
||||
"stars_total": 1000,
|
||||
}
|
||||
]
|
||||
enriched = [{**repos[0], "topics": ["llm"], "license": "MIT", "pushed_at": "p", "readme_excerpt": "rm"}]
|
||||
|
||||
with patch(
|
||||
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
|
||||
), patch(
|
||||
"src.sections.github.section.parse_trending_html", return_value=repos
|
||||
), patch(
|
||||
"src.sections.github.section.enrich_repos",
|
||||
new=AsyncMock(return_value=(enriched, [])),
|
||||
), patch(
|
||||
"src.llm.summarize_github_trending",
|
||||
new=AsyncMock(return_value=("## GH section md", None)),
|
||||
):
|
||||
md, err = await run_github_section(cfg, now=None)
|
||||
|
||||
assert md == "## GH section md"
|
||||
assert err is None
|
||||
import json as _j
|
||||
saved = _j.loads(history_path.read_text(encoding="utf-8"))
|
||||
assert "https://github.com/o1/r1" in saved["repos"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncates_candidates_to_max_deep_dive(tmp_path):
|
||||
cfg = _cfg(str(tmp_path / "h.json"), max_deep_dive=2)
|
||||
repos = [
|
||||
{"url": f"https://github.com/o/r{i}", "full_name": f"o/r{i}"} for i in range(5)
|
||||
]
|
||||
captured = {}
|
||||
|
||||
async def fake_enrich(candidates, **kwargs):
|
||||
captured["count"] = len(candidates)
|
||||
return [], []
|
||||
|
||||
with patch(
|
||||
"src.sections.github.section.fetch_trending_page", new=AsyncMock(return_value="<html>")
|
||||
), patch(
|
||||
"src.sections.github.section.parse_trending_html", return_value=repos
|
||||
), patch(
|
||||
"src.sections.github.section.enrich_repos", new=AsyncMock(side_effect=fake_enrich)
|
||||
):
|
||||
await run_github_section(cfg, now=None)
|
||||
|
||||
assert captured["count"] == 2
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scrape_failure_returns_error(tmp_path):
|
||||
cfg = _cfg(str(tmp_path / "h.json"))
|
||||
with patch(
|
||||
"src.sections.github.section.fetch_trending_page",
|
||||
new=AsyncMock(side_effect=RuntimeError("HTTP 500")),
|
||||
):
|
||||
md, err = await run_github_section(cfg, now=None)
|
||||
assert md == ""
|
||||
assert "HTTP 500" in err
|
||||
@@ -0,0 +1,246 @@
|
||||
"""测试 HN enrich(Algolia 评论树 + 外链正文)"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.hackernews.item_enricher import enrich_story
|
||||
|
||||
|
||||
def _kwargs(**overrides):
|
||||
base = dict(
|
||||
top_comments=3,
|
||||
top_l2_per_l1=2,
|
||||
comment_max_chars=500,
|
||||
comments_total_chars=60000,
|
||||
link_content_max_chars=3000,
|
||||
algolia_base="https://hn.algolia.com/api/v1",
|
||||
timeout=10,
|
||||
)
|
||||
base.update(overrides)
|
||||
return base
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_external_link_story_returns_tree():
|
||||
story = {
|
||||
"id": "111",
|
||||
"title": "T",
|
||||
"url": "https://example.com/post",
|
||||
"site": "example.com",
|
||||
"points": 100,
|
||||
"comments": 5,
|
||||
"comments_url": "https://news.ycombinator.com/item?id=111",
|
||||
}
|
||||
algolia_payload = {
|
||||
"text": None,
|
||||
"children": [
|
||||
{
|
||||
"text": "<p>comment one</p>",
|
||||
"children": [
|
||||
{"text": "<p>reply 1a</p>"},
|
||||
{"text": "<p>reply 1b</p>"},
|
||||
{"text": "<p>reply 1c (should be dropped)</p>"},
|
||||
],
|
||||
},
|
||||
{"text": "<p>comment two</p>", "children": []},
|
||||
{"text": "<p>comment three</p>"},
|
||||
{"text": "<p>comment four (over top_comments cap)</p>"},
|
||||
],
|
||||
}
|
||||
|
||||
async def fake_algolia(session, item_id, **kw):
|
||||
return algolia_payload
|
||||
|
||||
async def fake_external(session, url, **kw):
|
||||
return "link body"
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_algolia_item",
|
||||
new=AsyncMock(side_effect=fake_algolia),
|
||||
), patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_external_markdown",
|
||||
new=AsyncMock(side_effect=fake_external),
|
||||
):
|
||||
enriched = await enrich_story(
|
||||
session=MagicMock(), story=story, **_kwargs()
|
||||
)
|
||||
|
||||
tree = enriched["top_comments"]
|
||||
assert len(tree) == 3
|
||||
assert "comment one" in tree[0]["l1"]
|
||||
assert len(tree[0]["replies"]) == 2
|
||||
assert "reply 1a" in tree[0]["replies"][0]
|
||||
assert "reply 1b" in tree[0]["replies"][1]
|
||||
assert tree[1]["replies"] == []
|
||||
assert tree[2]["replies"] == []
|
||||
assert "link body" in enriched["link_content"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_show_hn_uses_root_text_no_external_fetch():
|
||||
story = {
|
||||
"id": "222",
|
||||
"title": "Show HN: T",
|
||||
"url": "https://news.ycombinator.com/item?id=222",
|
||||
"site": "",
|
||||
"points": 200,
|
||||
"comments": 10,
|
||||
"comments_url": "https://news.ycombinator.com/item?id=222",
|
||||
}
|
||||
algolia_payload = {
|
||||
"text": "<p>post body text</p>",
|
||||
"children": [{"text": "<p>c1</p>"}],
|
||||
}
|
||||
link_calls = []
|
||||
|
||||
async def fake_algolia(session, item_id, **kw):
|
||||
return algolia_payload
|
||||
|
||||
async def fake_external(session, url, **kw):
|
||||
link_calls.append(url)
|
||||
return "should not be called"
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_algolia_item",
|
||||
new=AsyncMock(side_effect=fake_algolia),
|
||||
), patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_external_markdown",
|
||||
new=AsyncMock(side_effect=fake_external),
|
||||
):
|
||||
enriched = await enrich_story(
|
||||
session=MagicMock(), story=story, **_kwargs()
|
||||
)
|
||||
|
||||
assert link_calls == []
|
||||
assert "post body text" in enriched["link_content"]
|
||||
assert enriched["top_comments"][0]["l1"].startswith("c1") or "c1" in enriched["top_comments"][0]["l1"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_truncates_comments_and_link():
|
||||
story = {
|
||||
"id": "333",
|
||||
"title": "T",
|
||||
"url": "https://example.com/a",
|
||||
"site": "example.com",
|
||||
"points": 100,
|
||||
"comments": 2,
|
||||
"comments_url": "x",
|
||||
}
|
||||
long_comment = "<p>" + ("y" * 2000) + "</p>"
|
||||
long_reply = "<p>" + ("z" * 2000) + "</p>"
|
||||
long_link = "z" * 5000
|
||||
|
||||
async def fake_algolia(session, item_id, **kw):
|
||||
return {
|
||||
"text": None,
|
||||
"children": [
|
||||
{"text": long_comment, "children": [{"text": long_reply}]}
|
||||
],
|
||||
}
|
||||
|
||||
async def fake_external(session, url, **kw):
|
||||
return long_link
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_algolia_item",
|
||||
new=AsyncMock(side_effect=fake_algolia),
|
||||
), patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_external_markdown",
|
||||
new=AsyncMock(side_effect=fake_external),
|
||||
):
|
||||
enriched = await enrich_story(
|
||||
session=MagicMock(),
|
||||
story=story,
|
||||
**_kwargs(comment_max_chars=100, link_content_max_chars=200),
|
||||
)
|
||||
|
||||
assert len(enriched["top_comments"][0]["l1"]) <= 100
|
||||
assert len(enriched["top_comments"][0]["replies"][0]) <= 100
|
||||
assert len(enriched["link_content"]) <= 200
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_failure_returns_partial():
|
||||
story = {
|
||||
"id": "444",
|
||||
"title": "T",
|
||||
"url": "https://example.com/x",
|
||||
"site": "example.com",
|
||||
"points": 100,
|
||||
"comments": 2,
|
||||
"comments_url": "x",
|
||||
}
|
||||
|
||||
async def fake_algolia(session, item_id, **kw):
|
||||
raise RuntimeError("algolia down")
|
||||
|
||||
async def fake_external(session, url, **kw):
|
||||
return "ok"
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_algolia_item",
|
||||
new=AsyncMock(side_effect=fake_algolia),
|
||||
), patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_external_markdown",
|
||||
new=AsyncMock(side_effect=fake_external),
|
||||
):
|
||||
enriched = await enrich_story(
|
||||
session=MagicMock(), story=story, **_kwargs()
|
||||
)
|
||||
|
||||
assert enriched["top_comments"] == []
|
||||
assert "ok" in enriched["link_content"]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_enrich_total_budget_stops_early():
|
||||
"""累计字符达 comments_total_chars 立即停止,后续 L1 / L2 都不再加入"""
|
||||
story = {
|
||||
"id": "555",
|
||||
"title": "T",
|
||||
"url": "https://example.com/q",
|
||||
"site": "example.com",
|
||||
"points": 100,
|
||||
"comments": 5,
|
||||
"comments_url": "x",
|
||||
}
|
||||
big = "<p>" + ("a" * 500) + "</p>" # markdown 约 500 chars
|
||||
|
||||
async def fake_algolia(session, item_id, **kw):
|
||||
return {
|
||||
"text": None,
|
||||
"children": [{"text": big, "children": [{"text": big}, {"text": big}]} for _ in range(10)],
|
||||
}
|
||||
|
||||
async def fake_external(session, url, **kw):
|
||||
return "x"
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_algolia_item",
|
||||
new=AsyncMock(side_effect=fake_algolia),
|
||||
), patch(
|
||||
"src.sections.hackernews.item_enricher._fetch_external_markdown",
|
||||
new=AsyncMock(side_effect=fake_external),
|
||||
):
|
||||
enriched = await enrich_story(
|
||||
session=MagicMock(),
|
||||
story=story,
|
||||
**_kwargs(
|
||||
top_comments=10,
|
||||
top_l2_per_l1=2,
|
||||
comment_max_chars=500,
|
||||
comments_total_chars=1500,
|
||||
),
|
||||
)
|
||||
|
||||
tree = enriched["top_comments"]
|
||||
total = sum(len(n["l1"]) + sum(len(r) for r in n["replies"]) for n in tree)
|
||||
# 累计应该在 1500 附近停下(允许多收一条到 ~2000),不应该收全 10*3=30 条
|
||||
assert total <= 2000
|
||||
assert len(tree) < 10
|
||||
@@ -0,0 +1,59 @@
|
||||
"""测试 HN 首页 HTML 解析"""
|
||||
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.hackernews.frontpage_scraper import parse_frontpage_html
|
||||
|
||||
|
||||
def test_parse_frontpage_returns_stories():
|
||||
fixture = (Path(__file__).parent / "fixtures" / "hn_frontpage.html").read_text(
|
||||
encoding="utf-8"
|
||||
)
|
||||
|
||||
stories = parse_frontpage_html(fixture)
|
||||
assert len(stories) >= 25
|
||||
s = stories[0]
|
||||
print(json.dumps(stories[:5], indent=4, ensure_ascii=False))
|
||||
|
||||
assert s["id"]
|
||||
assert s["title"]
|
||||
assert s["url"]
|
||||
assert isinstance(s["points"], int)
|
||||
assert isinstance(s["comments"], int)
|
||||
assert s["comments_url"].startswith("https://news.ycombinator.com/item?id=")
|
||||
|
||||
|
||||
def test_parse_frontpage_detects_show_hn_internal_url():
|
||||
html = """
|
||||
<table>
|
||||
<tr class="athing" id="111">
|
||||
<td class="title">
|
||||
<span class="titleline">
|
||||
<a href="item?id=111">Ask HN: what's new?</a>
|
||||
</span>
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td class="subtext">
|
||||
<span class="subline">
|
||||
<span class="score">50 points</span>
|
||||
by <a href="user?id=alice">alice</a>
|
||||
<span class="age"><a href="item?id=111">2 hours ago</a></span>
|
||||
| <a href="item?id=111">5 comments</a>
|
||||
</span>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
"""
|
||||
stories = parse_frontpage_html(html)
|
||||
assert len(stories) == 1
|
||||
s = stories[0]
|
||||
assert s["id"] == "111"
|
||||
assert s["url"].startswith("https://news.ycombinator.com/item?id=")
|
||||
assert s["site"] == ""
|
||||
assert s["points"] == 50
|
||||
assert s["comments"] == 5
|
||||
@@ -0,0 +1,111 @@
|
||||
"""测试 HN 板块编排:scrape → select → enrich → LLM"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
# Stub HN LLM functions until Task 16 lands them
|
||||
import src.llm as _llm
|
||||
if not hasattr(_llm, "select_ai_related_hn"):
|
||||
async def _stub_select(*a, **k):
|
||||
return [], None
|
||||
_llm.select_ai_related_hn = _stub_select
|
||||
if not hasattr(_llm, "summarize_hackernews"):
|
||||
async def _stub_summarize(*a, **k):
|
||||
return "", None
|
||||
_llm.summarize_hackernews = _stub_summarize
|
||||
|
||||
from src.sections.hackernews.section import run_hackernews_section
|
||||
|
||||
|
||||
def _cfg() -> dict:
|
||||
return {
|
||||
"filter": {"keep_days": 7},
|
||||
"sections": {
|
||||
"hackernews": {
|
||||
"enabled": True,
|
||||
"select_k": 1,
|
||||
"top_comments": 20,
|
||||
"comment_max_chars": 500,
|
||||
"link_content_max_chars": 3000,
|
||||
"request_timeout": 10,
|
||||
"algolia_base": "https://hn.algolia.com/api/v1",
|
||||
}
|
||||
},
|
||||
"llm": {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {
|
||||
"section_hackernews_select": "prompts/section_hackernews_select.md",
|
||||
"section_hackernews": "prompts/section_hackernews.md",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_disabled_returns_empty():
|
||||
cfg = _cfg()
|
||||
cfg["sections"]["hackernews"]["enabled"] = False
|
||||
md, err = await run_hackernews_section(cfg, now=None)
|
||||
assert md == ""
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_select_empty_returns_silent():
|
||||
cfg = _cfg()
|
||||
with patch(
|
||||
"src.sections.hackernews.section.fetch_frontpage", new=AsyncMock(return_value="<html>")
|
||||
), patch(
|
||||
"src.sections.hackernews.section.parse_frontpage_html",
|
||||
return_value=[{"id": "1", "title": "x"}],
|
||||
), patch(
|
||||
"src.llm.select_ai_related_hn",
|
||||
new=AsyncMock(return_value=([], None)),
|
||||
):
|
||||
md, err = await run_hackernews_section(cfg, now=None)
|
||||
assert md == ""
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_happy_path():
|
||||
cfg = _cfg()
|
||||
front = [{"id": "1", "title": "AI thing", "url": "https://e.com/a", "site": "e.com", "points": 100, "comments": 5, "comments_url": "x"}]
|
||||
enriched = [{**front[0], "link_content": "body", "top_comments": ["c1"]}]
|
||||
|
||||
with patch(
|
||||
"src.sections.hackernews.section.fetch_frontpage", new=AsyncMock(return_value="<html>")
|
||||
), patch(
|
||||
"src.sections.hackernews.section.parse_frontpage_html", return_value=front
|
||||
), patch(
|
||||
"src.llm.select_ai_related_hn",
|
||||
new=AsyncMock(return_value=(["1"], None)),
|
||||
), patch(
|
||||
"src.sections.hackernews.section.enrich_stories",
|
||||
new=AsyncMock(return_value=(enriched, [])),
|
||||
), patch(
|
||||
"src.llm.summarize_hackernews",
|
||||
new=AsyncMock(return_value=("## HN md", None)),
|
||||
):
|
||||
md, err = await run_hackernews_section(cfg, now=None)
|
||||
assert md == "## HN md"
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_scrape_failure_returns_error():
|
||||
cfg = _cfg()
|
||||
with patch(
|
||||
"src.sections.hackernews.section.fetch_frontpage",
|
||||
new=AsyncMock(side_effect=RuntimeError("net")),
|
||||
):
|
||||
md, err = await run_hackernews_section(cfg, now=None)
|
||||
assert md == ""
|
||||
assert "net" in err
|
||||
@@ -0,0 +1,66 @@
|
||||
"""测试 insights 模块"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
# Stub Task 17's LLM function until it lands
|
||||
import src.llm as _llm
|
||||
if not hasattr(_llm, "generate_trend_insights"):
|
||||
async def _stub(*a, **k):
|
||||
return "", None
|
||||
_llm.generate_trend_insights = _stub
|
||||
|
||||
from src.sections.insights.section import run_insights_section
|
||||
|
||||
|
||||
def _cfg() -> dict:
|
||||
return {
|
||||
"filter": {"push_context_days": 5},
|
||||
"sections": {"insights": {"enabled": True}},
|
||||
"llm": {
|
||||
"model": "x",
|
||||
"baseUrl": "http://x",
|
||||
"apiKeyName": "DEEPSEEK_API_KEY",
|
||||
"prompts": {"insights": "prompts/insights.md"},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_disabled_returns_empty():
|
||||
cfg = _cfg()
|
||||
cfg["sections"]["insights"]["enabled"] = False
|
||||
md, meta, err = await run_insights_section("rss", "gh", "hn", cfg, now=None)
|
||||
assert md == ""
|
||||
assert meta is None
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_marks_empty_sections_for_llm():
|
||||
cfg = _cfg()
|
||||
captured = {}
|
||||
|
||||
async def fake_gen(sections, config):
|
||||
captured["sections"] = sections
|
||||
return "insights md", None
|
||||
|
||||
with patch(
|
||||
"src.llm.generate_trend_insights",
|
||||
new=AsyncMock(side_effect=fake_gen),
|
||||
):
|
||||
md, meta, err = await run_insights_section("", "gh md", "", cfg, now=None)
|
||||
|
||||
assert md == "insights md"
|
||||
assert err is None
|
||||
# metadata 由 parse_insights_with_metadata 注入默认标题/profile
|
||||
assert meta["profile"] == "morning"
|
||||
assert "📰 AI Daily 每日精选" in meta["title"]
|
||||
assert captured["sections"]["rss"] == "(本次无内容)"
|
||||
assert captured["sections"]["github"] == "gh md"
|
||||
assert captured["sections"]["hackernews"] == "(本次无内容)"
|
||||
@@ -0,0 +1,76 @@
|
||||
"""src.main.collect_entries_for_push patched at source (lazy import in section)"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, AsyncMock
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
|
||||
|
||||
from src.sections.rss.section import run_rss_section
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_returns_markdown_when_entries_present(sample_config, tmp_path):
|
||||
digest_raw = (
|
||||
"---\n"
|
||||
'title: "🌙 AI Daily 晚报 | 测试"\n'
|
||||
'lead: "今日测试导读"\n'
|
||||
"highlights:\n - 重点1\n"
|
||||
"---\n\n"
|
||||
"### 1️⃣ digest body"
|
||||
)
|
||||
with patch(
|
||||
"src.main.collect_entries_for_push",
|
||||
return_value=([{"link": "x", "title": "t", "score": 80}], []),
|
||||
), patch(
|
||||
"src.sections.rss.section.compose_digest",
|
||||
new=AsyncMock(return_value=digest_raw),
|
||||
), patch(
|
||||
"src.sections.rss.section.load_recent_push_content", return_value=""
|
||||
), patch(
|
||||
"src.sections.rss.section.get_last_push_file", return_value=None
|
||||
):
|
||||
md, meta, err = await run_rss_section(sample_config, now=None)
|
||||
|
||||
assert md == "### 1️⃣ digest body"
|
||||
assert err is None
|
||||
assert meta["title"] == "🌙 AI Daily 晚报 | 测试"
|
||||
assert meta["lead"] == "今日测试导读"
|
||||
assert meta["highlights"] == ["重点1"]
|
||||
assert meta["profile"] == "default"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_returns_empty_when_no_entries(sample_config):
|
||||
with patch(
|
||||
"src.main.collect_entries_for_push", return_value=([], [])
|
||||
), patch(
|
||||
"src.sections.rss.section.get_last_push_file", return_value=None
|
||||
):
|
||||
md, meta, err = await run_rss_section(sample_config, now=None)
|
||||
|
||||
assert md == ""
|
||||
assert meta is None
|
||||
assert err is None
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_returns_error_on_compose_failure(sample_config):
|
||||
with patch(
|
||||
"src.main.collect_entries_for_push",
|
||||
return_value=([{"link": "x"}], []),
|
||||
), patch(
|
||||
"src.sections.rss.section.compose_digest",
|
||||
new=AsyncMock(side_effect=RuntimeError("LLM down")),
|
||||
), patch(
|
||||
"src.sections.rss.section.load_recent_push_content", return_value=""
|
||||
), patch(
|
||||
"src.sections.rss.section.get_last_push_file", return_value=None
|
||||
):
|
||||
md, meta, err = await run_rss_section(sample_config, now=None)
|
||||
|
||||
assert md == ""
|
||||
assert meta is None
|
||||
assert "LLM down" in err
|
||||
@@ -0,0 +1,257 @@
|
||||
"""存储模块测试"""
|
||||
|
||||
import json
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, date, timedelta, timezone
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from storage import (
|
||||
get_fetch_file,
|
||||
get_push_file,
|
||||
get_last_push_file,
|
||||
extract_push_time,
|
||||
read_entries,
|
||||
read_fetch_data,
|
||||
save_fetch_file,
|
||||
append_entries,
|
||||
format_entry,
|
||||
json_to_md,
|
||||
save_push_file,
|
||||
load_existing_links,
|
||||
cleanup_old_files,
|
||||
)
|
||||
|
||||
|
||||
class TestGetFetchFile:
|
||||
"""测试获取fetch文件路径"""
|
||||
|
||||
def test_get_fetch_file_default(self):
|
||||
result = get_fetch_file()
|
||||
assert "fetch-" in result
|
||||
assert result.endswith(".json")
|
||||
|
||||
def test_get_fetch_file_specific_date(self):
|
||||
result = get_fetch_file(date(2024, 1, 15))
|
||||
assert "fetch-2024-01-15.json" in result
|
||||
|
||||
|
||||
class TestGetPushFile:
|
||||
"""测试获取push文件路径"""
|
||||
|
||||
def test_get_push_file_default(self):
|
||||
result = get_push_file()
|
||||
assert "push-" in result
|
||||
assert result.endswith(".md")
|
||||
|
||||
def test_get_push_file_specific_time(self):
|
||||
dt = datetime(2024, 1, 15, 8, 30, 0)
|
||||
result = get_push_file(dt)
|
||||
assert "push-2024-01-15-08-30-00.md" in result
|
||||
|
||||
|
||||
class TestExtractPushTime:
|
||||
"""测试从文件名提取时间"""
|
||||
|
||||
def test_extract_valid_time(self):
|
||||
result = extract_push_time("news-data/push-2024-01-15-08-30-00.md")
|
||||
assert result is not None
|
||||
assert result.year == 2024
|
||||
assert result.month == 1
|
||||
assert result.day == 15
|
||||
|
||||
def test_extract_invalid_filename(self):
|
||||
result = extract_push_time("invalid.md")
|
||||
assert result is None
|
||||
|
||||
|
||||
class TestGetLastPushFile:
|
||||
"""测试获取最新push文件"""
|
||||
|
||||
def test_get_last_push_file_empty(self, temp_dir):
|
||||
result = get_last_push_file(str(temp_dir))
|
||||
assert result is None
|
||||
|
||||
def test_get_last_push_file_exists(self, temp_dir):
|
||||
(temp_dir / "push-2024-01-14-10-00-00.md").touch()
|
||||
(temp_dir / "push-2024-01-15-10-00-00.md").touch()
|
||||
|
||||
result = get_last_push_file(str(temp_dir))
|
||||
assert "2024-01-15" in result
|
||||
|
||||
|
||||
class TestReadWriteEntries:
|
||||
"""测试读写条目"""
|
||||
|
||||
def test_read_entries(self, sample_fetch_json):
|
||||
entries = read_entries(sample_fetch_json)
|
||||
assert len(entries) == 3
|
||||
assert entries[0]["title"] == "Article 1"
|
||||
|
||||
def test_read_entries_missing_file(self):
|
||||
entries = read_entries("nonexistent.json")
|
||||
assert entries == []
|
||||
|
||||
def test_read_fetch_data(self, sample_fetch_json):
|
||||
data = read_fetch_data(sample_fetch_json)
|
||||
assert "meta" in data
|
||||
assert "entries" in data
|
||||
assert len(data["entries"]) == 3
|
||||
|
||||
|
||||
class TestSaveFetchFile:
|
||||
"""测试保存fetch文件"""
|
||||
|
||||
def test_save_fetch_file(self, temp_dir):
|
||||
filepath = str(temp_dir / "test.json")
|
||||
meta = {"date": "2024-01-15"}
|
||||
entries = [{"title": "Test", "link": "https://example.com", "score": 80}]
|
||||
|
||||
save_fetch_file(filepath, meta, entries)
|
||||
|
||||
data = read_fetch_data(filepath)
|
||||
assert data["meta"]["date"] == "2024-01-15"
|
||||
assert len(data["entries"]) == 1
|
||||
|
||||
|
||||
class TestAppendEntries:
|
||||
"""测试追加条目"""
|
||||
|
||||
def test_append_new_entries(self, temp_dir):
|
||||
filepath = str(temp_dir / "test.json")
|
||||
meta = {"date": "2024-01-15"}
|
||||
|
||||
entries1 = [{"title": "Entry1", "link": "https://example.com/1", "score": 80}]
|
||||
count1 = append_entries(filepath, entries1, meta)
|
||||
assert count1 == 1
|
||||
|
||||
entries2 = [{"title": "Entry2", "link": "https://example.com/2", "score": 70}]
|
||||
count2 = append_entries(filepath, entries2, meta)
|
||||
assert count2 == 1
|
||||
|
||||
def test_append_duplicate_entries(self, temp_dir):
|
||||
filepath = str(temp_dir / "test.json")
|
||||
meta = {"date": "2024-01-15"}
|
||||
|
||||
entries = [{"title": "Entry1", "link": "https://example.com/1", "score": 80}]
|
||||
append_entries(filepath, entries, meta)
|
||||
|
||||
all_entries = read_entries(filepath)
|
||||
assert len(all_entries) == 1
|
||||
|
||||
count = append_entries(filepath, entries, meta)
|
||||
all_entries_after = read_entries(filepath)
|
||||
assert len(all_entries_after) == 1
|
||||
|
||||
def test_append_to_existing_file(self, temp_dir):
|
||||
filepath = str(temp_dir / "test.json")
|
||||
|
||||
data = {
|
||||
"meta": {"date": "2024-01-15"},
|
||||
"entries": [{"title": "Old", "link": "https://old.com", "score": 60}],
|
||||
}
|
||||
with open(filepath, "w") as f:
|
||||
json.dump(data, f)
|
||||
|
||||
new_entries = [{"title": "New", "link": "https://new.com", "score": 70}]
|
||||
count = append_entries(filepath, new_entries)
|
||||
|
||||
entries = read_entries(filepath)
|
||||
assert len(entries) == 2
|
||||
|
||||
|
||||
class TestFormatEntry:
|
||||
"""测试格式化条目"""
|
||||
|
||||
def test_format_entry_basic(self, sample_entry):
|
||||
result = format_entry(sample_entry)
|
||||
assert "## Test Article Title" in result
|
||||
assert "source: Test Source" in result
|
||||
assert "score: 85" in result
|
||||
|
||||
def test_format_entry_with_tags(self, sample_entry):
|
||||
result = format_entry(sample_entry)
|
||||
assert "AI" in result
|
||||
assert "Tech" in result
|
||||
|
||||
|
||||
class TestJsonToMd:
|
||||
"""测试JSON转Markdown"""
|
||||
|
||||
def test_json_to_md_basic(self, sample_fetch_json):
|
||||
data = read_fetch_data(sample_fetch_json)
|
||||
result = json_to_md(data)
|
||||
|
||||
assert "Article 1" in result
|
||||
assert "Article 2" in result
|
||||
assert "Article 3" in result
|
||||
|
||||
def test_json_to_md_empty(self):
|
||||
data = {"meta": {}, "entries": []}
|
||||
result = json_to_md(data)
|
||||
assert result == ""
|
||||
|
||||
|
||||
class TestSavePushFile:
|
||||
"""测试保存推送文件"""
|
||||
|
||||
def test_save_push_file(self, temp_dir):
|
||||
filepath = str(temp_dir / "push-test.md")
|
||||
content = "# Test Push\n\nContent here"
|
||||
|
||||
save_push_file(filepath, content, 5, 10)
|
||||
|
||||
with open(filepath, "r") as f:
|
||||
content = f.read()
|
||||
|
||||
assert "pushDate:" in content
|
||||
assert "sourceCount: 5" in content
|
||||
assert "totalEntries: 10" in content
|
||||
assert "# Test Push" in content
|
||||
|
||||
|
||||
class TestLoadExistingLinks:
|
||||
"""测试加载已有链接"""
|
||||
|
||||
def test_load_existing_links_json(self, sample_fetch_json):
|
||||
links = load_existing_links(sample_fetch_json)
|
||||
assert len(links) == 3
|
||||
assert "https://example.com/1" in links
|
||||
|
||||
def test_load_existing_links_missing(self):
|
||||
links = load_existing_links("nonexistent.json")
|
||||
assert links == set()
|
||||
|
||||
def test_load_existing_links_empty_string(self):
|
||||
links = load_existing_links("")
|
||||
assert links == set()
|
||||
|
||||
|
||||
class TestCleanupOldFiles:
|
||||
"""测试清理旧文件"""
|
||||
|
||||
def test_cleanup_old_files(self, temp_dir):
|
||||
old_date = (datetime.now() - timedelta(days=10)).date()
|
||||
new_date = (datetime.now() - timedelta(days=1)).date()
|
||||
|
||||
(temp_dir / f"fetch-{old_date}.json").touch()
|
||||
(temp_dir / f"fetch-{new_date}.json").touch()
|
||||
|
||||
cleanup_old_files(days=7, data_dir=str(temp_dir))
|
||||
|
||||
assert not (temp_dir / f"fetch-{old_date}.json").exists()
|
||||
assert (temp_dir / f"fetch-{new_date}.json").exists()
|
||||
|
||||
def test_cleanup_push_files(self, temp_dir):
|
||||
old_time = datetime.now() - timedelta(days=10)
|
||||
new_time = datetime.now() - timedelta(days=1)
|
||||
|
||||
(temp_dir / f"push-{old_time.strftime('%Y-%m-%d-%H-%M-%S')}.md").touch()
|
||||
(temp_dir / f"push-{new_time.strftime('%Y-%m-%d-%H-%M-%S')}.md").touch()
|
||||
|
||||
cleanup_old_files(days=7, data_dir=str(temp_dir))
|
||||
|
||||
files = list(temp_dir.glob("push-*.md"))
|
||||
assert len(files) == 1
|
||||
@@ -0,0 +1,163 @@
|
||||
"""测试新增的 sentinel 切片与 section-aware 读取"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from storage import extract_section
|
||||
|
||||
|
||||
class TestExtractSection:
|
||||
def test_extract_section_with_sentinel(self):
|
||||
md = (
|
||||
"intro\n"
|
||||
"<!-- SECTION:rss BEGIN -->\n"
|
||||
"RSS body\n"
|
||||
"<!-- SECTION:rss END -->\n"
|
||||
"\n"
|
||||
"<!-- SECTION:github BEGIN -->\n"
|
||||
"GH body\n"
|
||||
"<!-- SECTION:github END -->\n"
|
||||
)
|
||||
assert extract_section(md, "rss").strip() == "RSS body"
|
||||
assert extract_section(md, "github").strip() == "GH body"
|
||||
assert extract_section(md, "hackernews") == ""
|
||||
|
||||
def test_extract_section_legacy_file_rss(self):
|
||||
legacy = "# AI Daily\n### 1️⃣ foo\n### 2️⃣ bar\n"
|
||||
assert extract_section(legacy, "rss") == legacy
|
||||
|
||||
def test_extract_section_legacy_file_non_rss(self):
|
||||
legacy = "# AI Daily\n### 1️⃣ foo\n"
|
||||
assert extract_section(legacy, "github") == ""
|
||||
assert extract_section(legacy, "hackernews") == ""
|
||||
assert extract_section(legacy, "insights") == ""
|
||||
|
||||
def test_extract_section_missing_end_marker(self):
|
||||
broken = "<!-- SECTION:rss BEGIN -->\ncontent only\n"
|
||||
assert extract_section(broken, "rss") == ""
|
||||
|
||||
|
||||
from datetime import date, datetime, timedelta
|
||||
from storage import save_push_file
|
||||
|
||||
|
||||
from storage import TrendingHistory, load_trending_history
|
||||
|
||||
|
||||
class TestTrendingHistory:
|
||||
def test_load_missing_file(self, tmp_path):
|
||||
path = tmp_path / "trending.json"
|
||||
h = load_trending_history(str(path))
|
||||
assert h.repos == {}
|
||||
|
||||
def test_touch_then_save_then_reload(self, tmp_path):
|
||||
path = tmp_path / "trending.json"
|
||||
h = load_trending_history(str(path))
|
||||
today = date(2026, 5, 17)
|
||||
h.touch("https://github.com/a/b", today)
|
||||
h.touch("https://github.com/c/d", today)
|
||||
h.save()
|
||||
|
||||
h2 = load_trending_history(str(path))
|
||||
assert h2.repos == {
|
||||
"https://github.com/a/b": "2026-05-17",
|
||||
"https://github.com/c/d": "2026-05-17",
|
||||
}
|
||||
|
||||
def test_contains_returns_membership(self, tmp_path):
|
||||
h = load_trending_history(str(tmp_path / "x.json"))
|
||||
h.touch("https://github.com/a/b", date(2026, 5, 17))
|
||||
assert "https://github.com/a/b" in h
|
||||
assert "https://github.com/x/y" not in h
|
||||
|
||||
def test_cleanup_removes_expired_entries(self, tmp_path):
|
||||
path = tmp_path / "trending.json"
|
||||
path.write_text(
|
||||
'{"repos": {'
|
||||
'"https://github.com/old/repo": "2026-05-01", '
|
||||
'"https://github.com/new/repo": "2026-05-15"'
|
||||
'}, "updated_at": "2026-05-15T00:00:00+08:00"}',
|
||||
encoding="utf-8",
|
||||
)
|
||||
h = load_trending_history(str(path))
|
||||
h.cleanup(today=date(2026, 5, 17), keep_days=7)
|
||||
assert "https://github.com/old/repo" not in h
|
||||
assert "https://github.com/new/repo" in h
|
||||
|
||||
def test_cleanup_keeps_today_inclusive(self, tmp_path):
|
||||
h = load_trending_history(str(tmp_path / "x.json"))
|
||||
h.touch("https://github.com/a/b", date(2026, 5, 10))
|
||||
# 2026-05-10 + 7 days = 2026-05-17 (last_seen 2026-05-10 仍在 keep 区间)
|
||||
h.cleanup(today=date(2026, 5, 17), keep_days=7)
|
||||
assert "https://github.com/a/b" in h
|
||||
# 再过 1 天就出区间
|
||||
h.cleanup(today=date(2026, 5, 18), keep_days=7)
|
||||
assert "https://github.com/a/b" not in h
|
||||
|
||||
|
||||
class TestSavePushFileProfile:
|
||||
def test_default_profile_when_not_specified(self, tmp_path):
|
||||
f = tmp_path / "push-x.md"
|
||||
save_push_file(str(f), "body content", source_count=1, total_entries=1)
|
||||
text = f.read_text(encoding="utf-8")
|
||||
assert 'profile: "default"' in text
|
||||
assert "body content" in text
|
||||
|
||||
def test_morning_profile(self, tmp_path):
|
||||
f = tmp_path / "push-x.md"
|
||||
save_push_file(
|
||||
str(f), "body", source_count=2, total_entries=3, profile="morning"
|
||||
)
|
||||
text = f.read_text(encoding="utf-8")
|
||||
assert 'profile: "morning"' in text
|
||||
|
||||
|
||||
from storage import cleanup_old_files
|
||||
import json as _j
|
||||
|
||||
|
||||
class TestCleanupOldFilesTrendingHistory:
|
||||
def test_prunes_trending_history_entries_not_file(self, tmp_path):
|
||||
path = tmp_path / "trending-history.json"
|
||||
old_date = (datetime.now().date() - timedelta(days=30)).isoformat()
|
||||
fresh_date = datetime.now().date().isoformat()
|
||||
path.write_text(
|
||||
'{"repos": {'
|
||||
f'"https://github.com/a/b": "{old_date}", '
|
||||
f'"https://github.com/c/d": "{fresh_date}"'
|
||||
'}, "updated_at": "..."}',
|
||||
encoding="utf-8",
|
||||
)
|
||||
cleanup_old_files(days=7, data_dir=str(tmp_path))
|
||||
# 文件应保留
|
||||
assert path.exists()
|
||||
# 过期条目应被剪枝
|
||||
data = _j.loads(path.read_text(encoding="utf-8"))
|
||||
assert "https://github.com/a/b" not in data["repos"]
|
||||
assert "https://github.com/c/d" in data["repos"]
|
||||
|
||||
|
||||
from storage import assemble_with_sentinels
|
||||
|
||||
|
||||
class TestAssembleWithSentinels:
|
||||
def test_assembles_all_sections_in_order(self):
|
||||
out = assemble_with_sentinels(
|
||||
{"rss": "R", "github": "G", "hackernews": "H", "insights": "I"}
|
||||
)
|
||||
assert out.index("SECTION:rss") < out.index("SECTION:github")
|
||||
assert out.index("SECTION:github") < out.index("SECTION:hackernews")
|
||||
assert out.index("SECTION:hackernews") < out.index("SECTION:insights")
|
||||
assert "<!-- SECTION:rss BEGIN -->\nR\n<!-- SECTION:rss END -->" in out
|
||||
|
||||
def test_omits_empty_sections(self):
|
||||
out = assemble_with_sentinels({"rss": "R", "github": "", "hackernews": "H", "insights": ""})
|
||||
assert "SECTION:github" not in out
|
||||
assert "SECTION:insights" not in out
|
||||
assert "SECTION:rss" in out
|
||||
assert "SECTION:hackernews" in out
|
||||
|
||||
def test_returns_empty_when_all_empty(self):
|
||||
assert assemble_with_sentinels({"rss": "", "github": "", "hackernews": "", "insights": ""}) == ""
|
||||
@@ -0,0 +1,101 @@
|
||||
"""时区处理测试"""
|
||||
|
||||
import pytest
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent.parent / "src"))
|
||||
|
||||
from config import get_timezone
|
||||
|
||||
|
||||
class TestTimezoneBasics:
|
||||
"""测试时区基础功能"""
|
||||
|
||||
def test_get_timezone_positive_hours(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
offset = tz.utcoffset(datetime.now())
|
||||
assert offset.total_seconds() == 8 * 3600
|
||||
|
||||
def test_get_timezone_negative_hours(self):
|
||||
config = {"schedule": {"timezone_hours": -5}}
|
||||
tz = get_timezone(config)
|
||||
offset = tz.utcoffset(datetime.now())
|
||||
assert offset.total_seconds() == -5 * 3600
|
||||
|
||||
def test_get_timezone_zero_hours(self):
|
||||
config = {"schedule": {"timezone_hours": 0}}
|
||||
tz = get_timezone(config)
|
||||
offset = tz.utcoffset(datetime.now())
|
||||
assert offset.total_seconds() == 0
|
||||
|
||||
def test_get_timezone_missing_schedule(self):
|
||||
config = {}
|
||||
tz = get_timezone(config)
|
||||
assert tz is not None
|
||||
|
||||
def test_get_timezone_none_config(self):
|
||||
tz = get_timezone(None)
|
||||
assert tz is not None
|
||||
|
||||
|
||||
class TestTimezoneConversions:
|
||||
"""测试时区转换"""
|
||||
|
||||
def test_utc_to_local(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
utc_time = datetime(2024, 1, 15, 10, 0, 0, tzinfo=timezone.utc)
|
||||
local_time = utc_time.astimezone(tz)
|
||||
|
||||
assert local_time.hour == 18
|
||||
|
||||
def test_cross_day_conversion(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
utc_time = datetime(2024, 1, 15, 20, 0, 0, tzinfo=timezone.utc)
|
||||
local_time = utc_time.astimezone(tz)
|
||||
|
||||
assert local_time.day == 16
|
||||
|
||||
def test_negative_timezone(self):
|
||||
config = {"schedule": {"timezone_hours": -5}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
utc_time = datetime(2024, 1, 15, 10, 0, 0, tzinfo=timezone.utc)
|
||||
local_time = utc_time.astimezone(tz)
|
||||
|
||||
assert local_time.hour == 5
|
||||
|
||||
|
||||
class TestTimezoneAwareDatetime:
|
||||
"""测试带时区的datetime操作"""
|
||||
|
||||
def test_now_in_config_timezone(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
now_local = datetime.now(tz)
|
||||
assert now_local.tzinfo == tz
|
||||
|
||||
def test_timezone_aware_comparison(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
dt1 = datetime(2024, 1, 15, 10, 0, 0, tzinfo=timezone.utc)
|
||||
dt2 = datetime(2024, 1, 15, 18, 0, 0, tzinfo=tz)
|
||||
|
||||
assert dt1 == dt2
|
||||
|
||||
def test_naive_to_aware(self):
|
||||
config = {"schedule": {"timezone_hours": 8}}
|
||||
tz = get_timezone(config)
|
||||
|
||||
naive = datetime(2024, 1, 15, 10, 0, 0)
|
||||
aware = naive.replace(tzinfo=tz)
|
||||
|
||||
assert aware.tzinfo == tz
|
||||
@@ -0,0 +1,142 @@
|
||||
#!/usr/bin/env python3
|
||||
"""重新推送即时消息（notify 文件）
|
||||
|
||||
Usage:
|
||||
python tests/resend_notify.py news-data/notify-2026-05-21.md
|
||||
python tests/resend_notify.py news-data/notify-2026-05-21.md --index 0 # 推送第一个块
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import load_config
|
||||
from src.markdown_utils import parse_frontmatter
|
||||
from src.push import send_to_platforms
|
||||
|
||||
|
||||
def parse_notify_file(filepath: str):
|
||||
"""解析 notify 文件，返回所有推送块列表
|
||||
|
||||
Returns:
|
||||
List[Dict]: [{"metadata": {...}, "content": "..."}, ...]
|
||||
"""
|
||||
with open(filepath, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
|
||||
blocks = []
|
||||
for block in content.split("------"):
|
||||
block = block.strip()
|
||||
if not block:
|
||||
continue
|
||||
|
||||
metadata, body = parse_frontmatter(block)
|
||||
if not metadata:
|
||||
continue
|
||||
|
||||
blocks.append({"metadata": metadata, "content": body})
|
||||
|
||||
return blocks
|
||||
|
||||
|
||||
async def resend_notify(filepath: str, config: dict, index: int = -1):
|
||||
"""重新推送 notify 文件中的即时消息
|
||||
|
||||
Args:
|
||||
filepath: notify 文件路径
|
||||
config: 配置字典
|
||||
index: 推送第几个块（-1 表示最新的一个）
|
||||
|
||||
Returns:
|
||||
bool: 推送是否成功
|
||||
"""
|
||||
if not Path(filepath).exists():
|
||||
print(f"❌ 文件不存在: {filepath}")
|
||||
return False
|
||||
|
||||
blocks = parse_notify_file(filepath)
|
||||
if not blocks:
|
||||
print("❌ 文件中没有有效的推送块")
|
||||
return False
|
||||
|
||||
print(f"\n📋 文件中共有 {len(blocks)} 个推送块")
|
||||
|
||||
# 选择要推送的块
|
||||
if index == -1:
|
||||
block = blocks[-1]
|
||||
print(f" 使用最新的一个（第 {len(blocks)} 个）")
|
||||
elif 0 <= index < len(blocks):
|
||||
block = blocks[index]
|
||||
print(f" 使用第 {index + 1} 个")
|
||||
else:
|
||||
print(f"❌ 索引超出范围: {index} (有效范围: 0-{len(blocks)-1})")
|
||||
return False
|
||||
|
||||
metadata = block["metadata"]
|
||||
content = block["content"]
|
||||
# 拼接推送标题，与 main.py 的即时推送保持一致
|
||||
raw_title = metadata.get("title", "")
|
||||
title = "🚨 AI Daily 快讯 | " + raw_title if raw_title else "🚨 AI Daily 快讯"
|
||||
|
||||
print(f"\n📤 准备推送:")
|
||||
print(f" 标题: {title}")
|
||||
print(f" 时间: {metadata.get('pushTime', 'N/A')}")
|
||||
|
||||
# 推送
|
||||
try:
|
||||
await send_to_platforms(content, config["push"], title=title, metadata=metadata)
|
||||
print("\n✅ 推送成功!")
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"\n❌ 推送失败: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
async def main():
|
||||
parser = argparse.ArgumentParser(description="重新推送即时消息（notify 文件）")
|
||||
parser.add_argument("filepath", help="notify 文件路径")
|
||||
parser.add_argument("--index", type=int, default=-1, help="推送第几个块（-1=最新，默认）")
|
||||
args = parser.parse_args()
|
||||
|
||||
print("=" * 60)
|
||||
print("🚨 即时消息推送工具")
|
||||
print("=" * 60)
|
||||
|
||||
# 加载配置
|
||||
try:
|
||||
config = load_config()
|
||||
print("✅ 配置加载成功")
|
||||
except Exception as e:
|
||||
print(f"❌ 加载配置失败: {e}")
|
||||
return 1
|
||||
|
||||
# 显示推送平台配置状态
|
||||
print("\n📋 推送平台配置:")
|
||||
import os
|
||||
for platform_name, platform_conf in config.get("push", {}).items():
|
||||
enabled = platform_conf.get("enabled", False)
|
||||
api_key_name = platform_conf.get("apiKeyName", "")
|
||||
has_key = bool(os.environ.get(api_key_name, ""))
|
||||
status = "✅" if (enabled and has_key) else "⚠️"
|
||||
print(f" {status} {platform_name}: enabled={enabled}, has_key={has_key}")
|
||||
|
||||
# 推送
|
||||
success = await resend_notify(args.filepath, config, args.index)
|
||||
return 0 if success else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
sys.exit(asyncio.run(main()))
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 已取消")
|
||||
sys.exit(130)
|
||||
@@ -0,0 +1,108 @@
|
||||
#!/usr/bin/env python3
|
||||
"""重新推送已保存的 push 文件
|
||||
|
||||
Usage:
|
||||
python tests/resend_push.py news-data/push-2026-05-21-08-00-00.md
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import load_config
|
||||
from src.markdown_utils import parse_frontmatter
|
||||
from src.push import send_to_platforms
|
||||
|
||||
|
||||
async def resend_push_file(filepath: str, config: dict):
|
||||
"""读取 push 文件，解析 metadata 并重新推送
|
||||
|
||||
Args:
|
||||
filepath: push 文件路径
|
||||
config: 配置字典
|
||||
|
||||
Returns:
|
||||
bool: 推送是否成功
|
||||
"""
|
||||
if not Path(filepath).exists():
|
||||
print(f"❌ 文件不存在: {filepath}")
|
||||
return False
|
||||
|
||||
# 读取文件内容
|
||||
with open(filepath, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
|
||||
# 解析 frontmatter（复用 markdown_utils）
|
||||
metadata, body = parse_frontmatter(content)
|
||||
if not metadata:
|
||||
print("❌ 文件格式错误：无法解析 YAML frontmatter")
|
||||
return False
|
||||
|
||||
# 拼接推送标题，与 main.py 的 push 任务保持一致
|
||||
raw_title = metadata.get("title", "")
|
||||
title = "📰 AI Daily 每日精选 | " + raw_title if raw_title else "📰 AI Daily 每日精选"
|
||||
|
||||
print(f"\n📤 准备推送文件: {Path(filepath).name}")
|
||||
print(f" 标题: {title}")
|
||||
print(f" Profile: {metadata.get('profile', 'N/A')}")
|
||||
print(f" 日期: {metadata.get('date') or metadata.get('pushDate', 'N/A')}")
|
||||
|
||||
# 推送到所有平台
|
||||
try:
|
||||
await send_to_platforms(body, config["push"], title=title, metadata=metadata)
|
||||
print("\n✅ 推送成功!")
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"\n❌ 推送失败: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
async def main():
|
||||
parser = argparse.ArgumentParser(description="重新推送已保存的 push 文件")
|
||||
parser.add_argument("filepath", help="push 文件路径")
|
||||
args = parser.parse_args()
|
||||
|
||||
print("=" * 60)
|
||||
print("📤 重新推送工具")
|
||||
print("=" * 60)
|
||||
|
||||
# 加载配置
|
||||
try:
|
||||
config = load_config()
|
||||
print("✅ 配置加载成功")
|
||||
except Exception as e:
|
||||
print(f"❌ 加载配置失败: {e}")
|
||||
return 1
|
||||
|
||||
# 显示推送平台配置状态
|
||||
print("\n📋 推送平台配置:")
|
||||
import os
|
||||
for platform_name, platform_conf in config.get("push", {}).items():
|
||||
enabled = platform_conf.get("enabled", False)
|
||||
api_key_name = platform_conf.get("apiKeyName", "")
|
||||
has_key = bool(os.environ.get(api_key_name, ""))
|
||||
|
||||
status = "✅" if (enabled and has_key) else "⚠️"
|
||||
print(f" {status} {platform_name}: enabled={enabled}, has_key={has_key} ({api_key_name})")
|
||||
|
||||
# 推送文件
|
||||
success = await resend_push_file(args.filepath, config)
|
||||
return 0 if success else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
sys.exit(asyncio.run(main()))
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 已取消")
|
||||
sys.exit(130)
|
||||
@@ -0,0 +1,383 @@
|
||||
#!/usr/bin/env python3
|
||||
"""测试LLM评分和推送功能 - 独立运行脚本
|
||||
|
||||
Usage:
|
||||
# 先激活虚拟环境
|
||||
source ../.venv/bin/activate
|
||||
|
||||
# 测试评分
|
||||
python tests/run_llm_test.py --score
|
||||
|
||||
# 测试即时推送
|
||||
python tests/run_llm_test.py --immediate-push --push
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
|
||||
# 检查是否在虚拟环境中
|
||||
if not hasattr(sys, "real_prefix") and not (
|
||||
hasattr(sys, "base_prefix") and sys.base_prefix != sys.prefix
|
||||
):
|
||||
print("⚠️ 建议先激活虚拟环境: source .venv/bin/activate")
|
||||
print("")
|
||||
|
||||
# 加载 .env 文件
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# 添加项目根目录到路径
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import get_timezone, load_config
|
||||
from src.llm import compose_digest, generate_immediate_push, score_batch
|
||||
from src.push import send_to_platforms
|
||||
from src.storage import read_fetch_data, save_fetch_file
|
||||
|
||||
|
||||
def parse_args():
|
||||
"""解析命令行参数"""
|
||||
parser = argparse.ArgumentParser(description="测试LLM评分和推送")
|
||||
parser.add_argument(
|
||||
"--input",
|
||||
"-i",
|
||||
type=str,
|
||||
default="tests/news-data/fetch-{date}.json",
|
||||
help="输入文件路径，支持{date}占位符 (默认: tests/news-data/fetch-{date}.json)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--date",
|
||||
"-d",
|
||||
type=str,
|
||||
default=datetime.now(get_timezone()).strftime("%Y-%m-%d"),
|
||||
help="日期，格式YYYY-MM-DD (默认: 今天)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--limit", "-l", type=int, default=0, help="测试的消息数量 (默认: 0表示全部)"
|
||||
)
|
||||
|
||||
# 测试模式选择
|
||||
parser.add_argument("--score", action="store_true", help="测试评分")
|
||||
parser.add_argument("--immediate-push", action="store_true", help="测试即时推送")
|
||||
parser.add_argument("--digest", action="store_true", help="测试汇总推送")
|
||||
parser.add_argument("--push", action="store_true", help="推送到Discord")
|
||||
parser.add_argument("--all", action="store_true", help="运行所有测试")
|
||||
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def should_run(args, mode: str) -> bool:
|
||||
"""判断是否运行某个模式"""
|
||||
# 如果没有任何特定模式指定，默认运行评分
|
||||
if args.all:
|
||||
return True
|
||||
|
||||
# 检查是否指定了任何模式
|
||||
any_mode = args.score or args.immediate_push or args.digest
|
||||
|
||||
if mode == "score":
|
||||
return args.score or not any_mode # 默认运行评分
|
||||
elif mode == "immediate_push":
|
||||
return args.immediate_push
|
||||
elif mode == "digest":
|
||||
return args.digest
|
||||
return False
|
||||
|
||||
|
||||
async def run_llm_test():
|
||||
"""主函数"""
|
||||
args = parse_args()
|
||||
|
||||
print("=" * 60)
|
||||
print("🤖 LLM测试脚本")
|
||||
print("=" * 60)
|
||||
|
||||
# 构建输入文件路径
|
||||
input_path = args.input.format(date=args.date)
|
||||
print(f"\n📂 输入文件: {input_path}")
|
||||
|
||||
# 读取数据
|
||||
if not Path(input_path).exists():
|
||||
print(f"❌ 文件不存在: {input_path}")
|
||||
print("\n💡 提示: 先运行 fetch_news.py 获取新闻数据")
|
||||
print(" python tests/fetch_news.py --hours 1")
|
||||
return False
|
||||
|
||||
print(input_path)
|
||||
data = read_fetch_data(input_path)
|
||||
entries = data.get("entries", [])
|
||||
meta = data.get("meta", {})
|
||||
|
||||
print(f" ✓ 共 {len(entries)} 条")
|
||||
|
||||
if not entries:
|
||||
print("❌ 没有条目可测试")
|
||||
return False
|
||||
|
||||
# 限制测试数量 (0表示全部)
|
||||
if args.limit > 0:
|
||||
test_entries = entries[: args.limit]
|
||||
print(f" 测试前 {len(test_entries)} 条")
|
||||
else:
|
||||
test_entries = entries
|
||||
print(f" 测试全部 {len(test_entries)} 条")
|
||||
|
||||
# 显示待评分条目
|
||||
print(f"\n📄 测试条目:")
|
||||
for i, e in enumerate(test_entries[:5], 1):
|
||||
print(f" [{i}] {e.get('title', 'N/A')[:45]}...")
|
||||
print(f" 来源: {e.get('source', 'N/A')}")
|
||||
|
||||
# 加载配置
|
||||
print("\n⚙️ 加载配置...")
|
||||
config = load_config()
|
||||
llm_config = config["llm"]
|
||||
|
||||
print(f" ✓ 提供商: {llm_config.get('provider', 'openai')}")
|
||||
print(f" ✓ 模型: {llm_config.get('model', 'N/A')}")
|
||||
print(f" ✓ BaseURL: {llm_config.get('baseUrl', 'N/A')}")
|
||||
|
||||
# 检查API key
|
||||
api_key_name = llm_config.get("apiKeyName", "OPENAI_API_KEY")
|
||||
api_key = os.environ.get(api_key_name)
|
||||
if not api_key:
|
||||
print(f"\n❌ 未设置环境变量: {api_key_name}")
|
||||
return False
|
||||
|
||||
print(f" ✓ API Key: {api_key[:10]}...")
|
||||
|
||||
# 检查是否启用推送
|
||||
push_enabled = args.push and config.get("push")
|
||||
if push_enabled:
|
||||
print("\n🔌 推送已启用 (将推送到所有已配置的平台)")
|
||||
|
||||
# ========== 测试评分 ==========
|
||||
if should_run(args, "score"):
|
||||
print("\n" + "-" * 60)
|
||||
print("🎯 测试: 评分 (score_batch)")
|
||||
print("-" * 60)
|
||||
|
||||
try:
|
||||
scored, score_errors = await score_batch(test_entries, llm_config)
|
||||
if score_errors:
|
||||
print("\n⚠️ 评分存在异常:")
|
||||
for error in score_errors:
|
||||
print(f" - {error}")
|
||||
print("\n✅ 评分完成!")
|
||||
|
||||
# 显示评分结果
|
||||
print("\n📊 评分结果:")
|
||||
for i, e in enumerate(scored[:5], 1):
|
||||
print(f"\n [{i}] {e['title'][:40]}...")
|
||||
print(f" 评分: {e.get('score', 'N/A')}/100")
|
||||
print(f" 标签: {e.get('tags', [])}")
|
||||
print(f" 摘要: {e.get('summary', 'N/A')[:60]}...")
|
||||
|
||||
# 保存评分结果到JSON文件
|
||||
print(f"\n💾 保存评分结果到: {input_path}")
|
||||
|
||||
# 构建link到评分的映射
|
||||
score_map = {e.get("link"): e for e in scored if e.get("link")}
|
||||
|
||||
# 更新所有entries的评分
|
||||
all_entries = data.get("entries", [])
|
||||
for i, entry in enumerate(all_entries):
|
||||
link = entry.get("link")
|
||||
if link in score_map:
|
||||
all_entries[i] = score_map[link]
|
||||
|
||||
save_fetch_file(input_path, meta, all_entries)
|
||||
print(f" ✅ 已保存 {len(scored)} 条评分结果")
|
||||
|
||||
# 更新test_entries为评分后的数据
|
||||
test_entries = scored
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ 评分失败: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
# ========== 测试即时推送 ==========
|
||||
if should_run(args, "immediate_push"):
|
||||
print("\n" + "-" * 60)
|
||||
print("🔥 测试: 即时推送 (generate_immediate_push)")
|
||||
print("-" * 60)
|
||||
|
||||
# 筛选高分条目 (>=80分)用于推送
|
||||
hot_entries = [e for e in test_entries if e.get("score", 0) >= 90]
|
||||
if not hot_entries:
|
||||
hot_entries = test_entries[-3:-1] # 如果没有高分，取前2条
|
||||
|
||||
print(f"\n使用 {len(hot_entries)} 条高分消息生成推送...")
|
||||
|
||||
# 加载近期推送上下文用于测试
|
||||
context_days = config.get("filter", {}).get("context_days", 3)
|
||||
from src.llm import parse_immediate_push_with_metadata
|
||||
from src.storage import (
|
||||
get_notify_file,
|
||||
load_recent_notify_content,
|
||||
load_recent_push_content,
|
||||
save_notify_file,
|
||||
)
|
||||
|
||||
recent_notify = load_recent_notify_content(context_days)
|
||||
recent_push = load_recent_push_content(context_days)
|
||||
recent_context = (
|
||||
f"=== 近期即时推送 ===\n{recent_notify}\n\n"
|
||||
f"=== 近期汇总推送 ===\n{recent_push}"
|
||||
)
|
||||
|
||||
try:
|
||||
# 传入上下文参数
|
||||
push_content, immediate_push_error = await generate_immediate_push(
|
||||
hot_entries, llm_config, recent_push_context=recent_context
|
||||
)
|
||||
timestamp = datetime.now(get_timezone()).strftime("%Y-%m-%d")
|
||||
content_without_title, metadata = parse_immediate_push_with_metadata(
|
||||
push_content, f"🚨 AI Daily 快讯 | {timestamp}"
|
||||
)
|
||||
metadata["pushTime"] = datetime.now(get_timezone()).isoformat()
|
||||
push_content = content_without_title
|
||||
|
||||
if immediate_push_error:
|
||||
print(f"\n⚠️ 即时推送生成异常: {immediate_push_error}")
|
||||
push_content = ""
|
||||
print(f"\n✅ 推送内容生成完成!")
|
||||
print(f"\n📤 推送内容预览:")
|
||||
print("-" * 40)
|
||||
print(
|
||||
push_content[:500] + "..." if len(push_content) > 500 else push_content
|
||||
)
|
||||
print("-" * 40)
|
||||
|
||||
# 检查是否有实际内容需要推送
|
||||
no_content_marker = config.get("filter", {}).get(
|
||||
"no_content_marker", "[NO_NEW_CONTENT]"
|
||||
)
|
||||
if no_content_marker in push_content:
|
||||
print(f"\nℹ️ 无新内容需要推送 (LLM判定为重复内容)")
|
||||
else:
|
||||
# 推送到所有启用的平台
|
||||
if push_enabled:
|
||||
print("\n📤 推送消息...")
|
||||
await send_to_platforms(
|
||||
push_content,
|
||||
config["push"],
|
||||
title="🚨 AI Daily 快讯 | " + metadata["title"],
|
||||
metadata=metadata,
|
||||
)
|
||||
print(" ✅ 推送成功!")
|
||||
|
||||
# 保存到 notify 文件
|
||||
notify_file = get_notify_file()
|
||||
save_notify_file(notify_file, push_content, metadata)
|
||||
print(f"\n💾 已保存即时推送到 {notify_file}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ 即时推送生成失败: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
# ========== 测试汇总推送 ==========
|
||||
if should_run(args, "digest"):
|
||||
print("\n" + "-" * 60)
|
||||
print("📰 测试: 汇总推送 (compose_digest)")
|
||||
print("-" * 60)
|
||||
|
||||
# 构建上下文（从 fetch 文件读取的历史数据）
|
||||
context = test_entries[:10] # 使用前10条作为模拟上下文
|
||||
|
||||
print(f"\n使用 {len(test_entries)} 条消息生成汇总...")
|
||||
|
||||
# 加载近期推送上下文
|
||||
push_context_days = config.get(
|
||||
"filter",
|
||||
).get("push_context_days", 5)
|
||||
from src.storage import get_push_file, load_recent_push_content, save_push_file
|
||||
|
||||
recent_push_context_str = load_recent_push_content(push_context_days)
|
||||
|
||||
try:
|
||||
raw_digest = await compose_digest(
|
||||
test_entries,
|
||||
context,
|
||||
llm_config,
|
||||
recent_push_context=recent_push_context_str,
|
||||
)
|
||||
from src.llm import parse_digest_with_metadata
|
||||
|
||||
date_str = datetime.now(get_timezone()).strftime("%Y-%m-%d")
|
||||
digest_content, metadata = parse_digest_with_metadata(raw_digest, date_str)
|
||||
metadata["pushTime"] = datetime.now(get_timezone()).isoformat()
|
||||
|
||||
print(f"\n✅ 汇总内容生成完成!")
|
||||
print(f" 标题: {metadata['title']}")
|
||||
print(f" 导读: {metadata.get('lead', '')[:60]}")
|
||||
print(f" 重点: {metadata.get('highlights', [])}")
|
||||
print(f"\n📰 汇总内容预览:")
|
||||
print("-" * 40)
|
||||
print(
|
||||
digest_content[:500] + "..."
|
||||
if len(digest_content) > 500
|
||||
else digest_content
|
||||
)
|
||||
print("-" * 40)
|
||||
|
||||
# 推送到所有启用的平台
|
||||
if push_enabled:
|
||||
print("\n📤 推送消息...")
|
||||
await send_to_platforms(
|
||||
digest_content,
|
||||
config["push"],
|
||||
title="📰 AI Daily 每日精选 | " + metadata["title"],
|
||||
metadata=metadata,
|
||||
)
|
||||
print(" ✅ 推送成功!")
|
||||
|
||||
# 保存到 push 文件
|
||||
push_file = get_push_file()
|
||||
save_push_file(
|
||||
push_file,
|
||||
digest_content,
|
||||
len(test_entries),
|
||||
len(test_entries),
|
||||
profile="default",
|
||||
metadata=metadata,
|
||||
)
|
||||
print(f"\n💾 已保存汇总到 {push_file}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ 汇总推送生成失败: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("✅ LLM测试完成!")
|
||||
print("=" * 60)
|
||||
|
||||
return True
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
success = asyncio.run(run_llm_test())
|
||||
sys.exit(0 if success else 1)
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 已取消")
|
||||
sys.exit(130)
|
||||
except Exception as e:
|
||||
print(f"\n❌ 错误: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
sys.exit(1)
|
||||
@@ -0,0 +1,30 @@
|
||||
"""模拟一次完整早报推送(强制 is_morning=True,但不发送到推送渠道)"""
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
import sys
|
||||
from unittest.mock import AsyncMock, patch
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from src.config import load_config
|
||||
from src.main import _run_morning_push
|
||||
|
||||
|
||||
async def main():
|
||||
config = load_config()
|
||||
async def fake_send(content, push_cfg):
|
||||
print("\n" + "=" * 60)
|
||||
print("📤 假推送内容(实际不会发送)")
|
||||
print("=" * 60)
|
||||
print(content)
|
||||
|
||||
with patch("src.main.send_to_platforms", new=AsyncMock(side_effect=fake_send)):
|
||||
await _run_morning_push(config)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,138 @@
|
||||
#!/usr/bin/env python3
|
||||
"""测试 cleanup_old_files 函数
|
||||
|
||||
功能：
|
||||
1. 在 tests/cleanup_test_data 文件夹内创建不同日期的测试文件
|
||||
2. 运行 cleanup_old_files
|
||||
3. 显示清理结果
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
from datetime import date, datetime, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.storage import cleanup_old_files
|
||||
|
||||
|
||||
def create_test_files():
|
||||
"""创建测试文件"""
|
||||
test_dir = Path("tests/cleanup_test_data")
|
||||
test_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
today = date.today()
|
||||
created_files = []
|
||||
|
||||
# 创建不同日期的文件
|
||||
file_specs = [
|
||||
# (文件名模式, 日期偏移, 文件类型)
|
||||
("fetch", -10, "json"), # 10天前 - 应该删除
|
||||
("fetch", -8, "json"), # 8天前 - 应该删除
|
||||
("fetch", -7, "json"), # 7天前 - 应该删除
|
||||
("fetch", -6, "json"), # 6天前 - 应该保留
|
||||
("fetch", -3, "json"), # 3天前 - 应该保留
|
||||
("fetch", -1, "json"), # 1天前 - 应该保留
|
||||
("fetch", 0, "json"), # 今天 - 应该保留
|
||||
("push", -10, "md"), # 10天前 - 应该删除
|
||||
("push", -7, "md"), # 7天前 - 应该删除
|
||||
("push", -5, "md"), # 5天前 - 应该保留
|
||||
("push", -2, "md"), # 2天前 - 应该保留
|
||||
("push", 0, "md"), # 今天 - 应该保留
|
||||
("notify", -9, "md"), # 9天前 - 应该删除
|
||||
("notify", -6, "md"), # 6天前 - 应该保留
|
||||
("notify", -1, "md"), # 1天前 - 应该保留
|
||||
("notify", 0, "md"), # 今天 - 应该保留
|
||||
]
|
||||
|
||||
print(f"\n📅 今天是: {today}")
|
||||
print(f" cutoff: {today - timedelta(days=7)} (7天前)")
|
||||
print(
|
||||
f" 将删除 < {today - timedelta(days=6)} (< {(today - timedelta(days=6)).strftime('%m-%d')}) 的文件"
|
||||
)
|
||||
print(
|
||||
f" 保留 >= {today - timedelta(days=6)} (>= {(today - timedelta(days=6)).strftime('%m-%d')}) 的文件"
|
||||
)
|
||||
|
||||
print(f"\n📂 创建测试文件到: {test_dir}")
|
||||
print("-" * 50)
|
||||
|
||||
for prefix, offset, ext in file_specs:
|
||||
file_date = today + timedelta(days=offset)
|
||||
|
||||
if prefix == "push":
|
||||
# push 文件带时间戳
|
||||
filename = f"push-{file_date.isoformat()}-08-00-00.{ext}"
|
||||
else:
|
||||
filename = f"{prefix}-{file_date.isoformat()}.{ext}"
|
||||
|
||||
filepath = test_dir / filename
|
||||
|
||||
# 创建文件并写入内容
|
||||
with open(filepath, "w") as f:
|
||||
f.write(f"测试文件 - {filename}")
|
||||
|
||||
status = "🗑️ 将删除" if offset <= -7 else "✅ 将保留"
|
||||
print(f" {status}: {filename}")
|
||||
created_files.append(filename)
|
||||
|
||||
print("-" * 50)
|
||||
print(f"✅ 创建了 {len(created_files)} 个测试文件")
|
||||
|
||||
return test_dir
|
||||
|
||||
|
||||
def list_files_after_cleanup(test_dir: Path):
|
||||
"""显示清理后的文件"""
|
||||
print(f"\n📂 清理后的文件列表:")
|
||||
print("-" * 50)
|
||||
|
||||
files = sorted(test_dir.glob("*"))
|
||||
if not files:
|
||||
print(" (空目录)")
|
||||
else:
|
||||
for f in files:
|
||||
print(f" ✅ {f.name}")
|
||||
|
||||
print("-" * 50)
|
||||
print(f" 共 {len(files)} 个文件")
|
||||
|
||||
|
||||
def main():
|
||||
"""主函数"""
|
||||
print("=" * 60)
|
||||
print("🧪 cleanup_old_files 测试")
|
||||
print("=" * 60)
|
||||
|
||||
# 1. 创建测试文件
|
||||
test_dir = create_test_files()
|
||||
|
||||
# 2. 列出清理前的文件
|
||||
print(f"\n📂 清理前的文件列表:")
|
||||
print("-" * 50)
|
||||
for f in sorted(test_dir.glob("*")):
|
||||
print(f" {f.name}")
|
||||
print("-" * 50)
|
||||
print(f" 共 {len(list(test_dir.glob('*')))} 个文件")
|
||||
|
||||
# 3. 运行清理
|
||||
print("\n🚀 运行 cleanup_old_files...")
|
||||
cleanup_old_files(days=7, data_dir=str(test_dir))
|
||||
|
||||
# 4. 列出清理后的文件
|
||||
list_files_after_cleanup(test_dir)
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("🎉 测试完成!")
|
||||
print("=" * 60)
|
||||
|
||||
# 自动清理测试目录
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(test_dir)
|
||||
print(f"✅ 已删除测试目录: {test_dir}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,213 @@
|
||||
#!/usr/bin/env python3
|
||||
"""测试 fetch_lookback_minutes 功能脚本
|
||||
|
||||
测试内容：
|
||||
1. cutoff 时间计算是否正确
|
||||
2. load_existing_links 阈值逻辑
|
||||
3. 跨天边界的去重逻辑
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
from src.config import get_timezone, load_config
|
||||
from src.storage import get_fetch_file, load_existing_links, read_entries
|
||||
|
||||
|
||||
def test_cutoff_calculation():
|
||||
"""测试 cutoff 时间计算"""
|
||||
print("\n" + "=" * 60)
|
||||
print("📊 Test 1: cutoff 时间计算")
|
||||
print("=" * 60)
|
||||
|
||||
config = load_config()
|
||||
interval = config["schedule"]["fetch_interval_minutes"]
|
||||
lookback = config["schedule"].get("fetch_lookback_minutes", 120)
|
||||
|
||||
# 确保 lookback >= interval
|
||||
lookback = max(lookback, interval)
|
||||
threshold = lookback + interval
|
||||
|
||||
print(f"\n配置值:")
|
||||
print(f" fetch_interval_minutes: {interval}")
|
||||
print(
|
||||
f" fetch_lookback_minutes: {config['schedule'].get('fetch_lookback_minutes', 120)}"
|
||||
)
|
||||
print(f" 修正后的 lookback: {lookback}")
|
||||
print(f" threshold (lookback + interval): {threshold}")
|
||||
|
||||
# 模拟计算 cutoff
|
||||
now_utc = datetime.now(timezone.utc)
|
||||
cutoff = now_utc - timedelta(minutes=lookback)
|
||||
|
||||
print(f"\n计算结果:")
|
||||
print(f" 当前 UTC 时间: {now_utc.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f" cutoff 时间: {cutoff.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f" 过去 {lookback} 分钟")
|
||||
|
||||
assert lookback >= interval, f"lookback ({lookback}) 应该 >= interval ({interval})"
|
||||
print("\n✅ Test 1 通过: cutoff 计算正确")
|
||||
|
||||
|
||||
def test_threshold_logic():
|
||||
"""测试 load_existing_links 阈值逻辑"""
|
||||
print("\n" + "=" * 60)
|
||||
print("📊 Test 2: load_existing_links 阈值逻辑")
|
||||
print("=" * 60)
|
||||
|
||||
config = load_config()
|
||||
interval = config["schedule"]["fetch_interval_minutes"]
|
||||
lookback = config["schedule"].get("fetch_lookback_minutes", 120)
|
||||
lookback = max(lookback, interval)
|
||||
threshold = lookback + interval
|
||||
|
||||
tz = get_timezone(config)
|
||||
|
||||
# 测试不同时间点
|
||||
test_cases = [
|
||||
("02:00", threshold, True, "凌晨2点应该需要昨天"),
|
||||
("02:29", threshold, True, "02:29 应该需要昨天"),
|
||||
("02:30", threshold, False, "02:30 开始只需要当天"),
|
||||
("12:00", threshold, False, "中午12点只需要当天"),
|
||||
("23:59", threshold, False, "23:59 只需要当天"),
|
||||
]
|
||||
|
||||
print(f"\n阈值: {threshold} 分钟 (即 {threshold // 60}小时 {threshold % 60}分钟)")
|
||||
print(f"\n测试结果:")
|
||||
|
||||
all_passed = True
|
||||
for time_str, thresh, expected_need_yesterday, desc in test_cases:
|
||||
hour, minute = map(int, time_str.split(":"))
|
||||
current_minutes = hour * 60 + minute
|
||||
need_yesterday = current_minutes < thresh
|
||||
|
||||
status = "✅" if need_yesterday == expected_need_yesterday else "❌"
|
||||
print(
|
||||
f" {status} {time_str}: 需要昨天={need_yesterday} (预期: {expected_need_yesterday}) - {desc}"
|
||||
)
|
||||
|
||||
if need_yesterday != expected_need_yesterday:
|
||||
all_passed = False
|
||||
|
||||
if all_passed:
|
||||
print("\n✅ Test 2 通过: 阈值逻辑正确")
|
||||
else:
|
||||
print("\n❌ Test 2 失败: 阈值逻辑有问题")
|
||||
|
||||
|
||||
def test_load_existing_links_files():
|
||||
"""测试实际加载文件功能"""
|
||||
print("\n" + "=" * 60)
|
||||
print("📊 Test 3: 实际加载文件测试")
|
||||
print("=" * 60)
|
||||
|
||||
config = load_config()
|
||||
interval = config["schedule"]["fetch_interval_minutes"]
|
||||
lookback = config["schedule"].get("fetch_lookback_minutes", 120)
|
||||
lookback = max(lookback, interval)
|
||||
threshold = lookback + interval
|
||||
|
||||
tz = get_timezone(config)
|
||||
now = datetime.now(tz)
|
||||
current_minutes = now.hour * 60 + now.minute
|
||||
need_yesterday = current_minutes < threshold
|
||||
|
||||
print(f"\n当前时间: {now.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"当前分钟数: {current_minutes}")
|
||||
print(f"阈值: {threshold}")
|
||||
print(f"需要加载昨天: {need_yesterday}")
|
||||
|
||||
# 测试当天文件
|
||||
today_file = get_fetch_file()
|
||||
print(f"\n当天文件: {today_file}")
|
||||
print(f"文件存在: {Path(today_file).exists()}")
|
||||
|
||||
# 测试 load_existing_links 函数
|
||||
existing = load_existing_links(today_file, threshold)
|
||||
print(f"加载到的链接数: {len(existing)}")
|
||||
|
||||
if need_yesterday:
|
||||
yesterday = (now - timedelta(days=1)).date()
|
||||
yesterday_file = get_fetch_file(yesterday)
|
||||
print(f"\n昨天文件: {yesterday_file}")
|
||||
print(f"文件存在: {Path(yesterday_file).exists()}")
|
||||
|
||||
if Path(yesterday_file).exists():
|
||||
yesterday_entries = read_entries(yesterday_file)
|
||||
print(f"昨天文件条目数: {len(yesterday_entries)}")
|
||||
|
||||
print("\n✅ Test 3 完成: 文件加载功能正常")
|
||||
|
||||
|
||||
def test_mock_time():
|
||||
"""模拟不同时间测试阈值逻辑"""
|
||||
print("\n" + "=" * 60)
|
||||
print("📊 Test 4: 模拟时间测试")
|
||||
print("=" * 60)
|
||||
|
||||
config = load_config()
|
||||
interval = config["schedule"]["fetch_interval_minutes"]
|
||||
lookback = config["schedule"].get("fetch_lookback_minutes", 120)
|
||||
lookback = max(lookback, interval)
|
||||
threshold = lookback + interval
|
||||
|
||||
print(f"\n配置: interval={interval}, lookback={lookback}, threshold={threshold}")
|
||||
|
||||
test_times = [
|
||||
(0, 0), # 00:00
|
||||
(2, 20), # 02:20
|
||||
(2, 30), # 02:30
|
||||
(3, 0), # 03:00
|
||||
(8, 0), # 08:00
|
||||
(12, 0), # 12:00
|
||||
(23, 59), # 23:59
|
||||
]
|
||||
|
||||
print("\n模拟时间测试:")
|
||||
for hour, minute in test_times:
|
||||
current_minutes = hour * 60 + minute
|
||||
need_yesterday = current_minutes < threshold
|
||||
|
||||
time_str = f"{hour:02d}:{minute:02d}"
|
||||
status = "🔴 需要昨天" if need_yesterday else "🟢 只需当天"
|
||||
print(f" {time_str} ({current_minutes:4d}分钟): {status}")
|
||||
|
||||
print("\n✅ Test 4 完成")
|
||||
|
||||
|
||||
def main():
|
||||
"""主函数"""
|
||||
print("\n" + "=" * 60)
|
||||
print("🧪 fetch_lookback_minutes 功能测试")
|
||||
print("=" * 60)
|
||||
|
||||
try:
|
||||
test_cutoff_calculation()
|
||||
test_threshold_logic()
|
||||
test_load_existing_links_files()
|
||||
test_mock_time()
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("🎉 所有测试完成!")
|
||||
print("=" * 60)
|
||||
return 0
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ 测试失败: {e}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
return 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -0,0 +1,93 @@
|
||||
"""测试 insights section - 从早报文件解析三个板块并生成洞察"""
|
||||
|
||||
import asyncio
|
||||
import re
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
from src.config import get_timezone, load_config
|
||||
from src.sections.insights.section import run_insights_section
|
||||
|
||||
load_dotenv()
|
||||
|
||||
|
||||
def parse_sections(content: str) -> dict:
|
||||
"""从早报内容中解析出各个板块"""
|
||||
sections = {}
|
||||
pattern = r"<!-- SECTION:(\w+) BEGIN -->\n(.*?)\n<!-- SECTION:\1 END -->"
|
||||
|
||||
for match in re.finditer(pattern, content, re.DOTALL):
|
||||
section_name = match.group(1)
|
||||
section_content = match.group(2)
|
||||
sections[section_name] = section_content
|
||||
|
||||
return sections
|
||||
|
||||
|
||||
async def main():
|
||||
if len(sys.argv) < 2:
|
||||
print("用法: python test_insights_section.py <早报文件路径>")
|
||||
print(
|
||||
"示例: python test_insights_section.py news-data/push-2026-05-25-08-00-00.md"
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
filepath = sys.argv[1]
|
||||
|
||||
# 读取早报文件
|
||||
with open(filepath, "r", encoding="utf-8") as f:
|
||||
content = f.read()
|
||||
|
||||
# 解析板块
|
||||
sections = parse_sections(content)
|
||||
|
||||
print(f"📄 解析文件: {filepath}")
|
||||
print(f"📋 找到板块: {list(sections.keys())}")
|
||||
print()
|
||||
|
||||
rss_md = sections.get("rss", "")
|
||||
gh_md = sections.get("github", "")
|
||||
hn_md = sections.get("hackernews", "")
|
||||
|
||||
if not rss_md and not gh_md and not hn_md:
|
||||
print("❌ 未找到任何板块内容")
|
||||
sys.exit(1)
|
||||
|
||||
print(f"RSS 板块: {len(rss_md)} 字符")
|
||||
print(f"GitHub 板块: {len(gh_md)} 字符")
|
||||
print(f"HackerNews 板块: {len(hn_md)} 字符")
|
||||
print()
|
||||
|
||||
# 加载配置
|
||||
config = load_config()
|
||||
now = datetime.now(get_timezone(config))
|
||||
|
||||
# 调用 insights section
|
||||
print("🤖 生成洞察中...")
|
||||
insights_md, metadata, error = await run_insights_section(
|
||||
rss_md, gh_md, hn_md, config, now
|
||||
)
|
||||
|
||||
if error:
|
||||
print(f"❌ 错误: {error}")
|
||||
sys.exit(1)
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("📊 Insights 板块结果:")
|
||||
print("=" * 60)
|
||||
print(insights_md)
|
||||
print("=" * 60)
|
||||
|
||||
if metadata:
|
||||
print("\n📋 Metadata:")
|
||||
for key, value in metadata.items():
|
||||
print(f" {key}: {value}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
@@ -0,0 +1,113 @@
|
||||
#!/usr/bin/env python3
|
||||
"""测试 push_loop 时间逻辑 - 直接调用 main.py"""
|
||||
import asyncio
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).parent.parent))
|
||||
|
||||
from src.config import get_timezone, load_config
|
||||
|
||||
# 记录调用时间
|
||||
call_times = []
|
||||
|
||||
async def mock_run_push_job(config):
|
||||
"""模拟 push job"""
|
||||
now = datetime.now(get_timezone(config))
|
||||
call_times.append(now)
|
||||
print(f"\n{'='*40}")
|
||||
print(f"📤 Mock Push Job 被调用 | {now.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
print(f"{'='*40}\n")
|
||||
|
||||
async def main():
|
||||
print("🧪 测试 push_loop 时间逻辑")
|
||||
print("="*50)
|
||||
|
||||
# 加载配置
|
||||
config = load_config()
|
||||
tz = get_timezone(config)
|
||||
|
||||
# 动态设置 cron：约 30 秒后 和 60 秒后触发
|
||||
# 标准 cron 是5字段（分 时 日 月 周），通过计算实现秒级等待
|
||||
now = datetime.now(tz)
|
||||
|
||||
# 计算等待时间：
|
||||
# 第一次：约 30 秒后（下一分钟，等待 = 60 - 当前秒数）
|
||||
# 第二次：约 60 秒后（下两分钟，等待 = 120 - 当前秒数）
|
||||
sec_to_wait_1 = 60 - now.second # 到下一分钟的剩余秒数
|
||||
sec_to_wait_2 = sec_to_wait_1 + 60 # 再加一分钟
|
||||
|
||||
min_1 = (now.minute + 1) % 60
|
||||
min_2 = (now.minute + 2) % 60
|
||||
|
||||
cron1 = f"{min_1} {now.hour} * * *"
|
||||
cron2 = f"{min_2} {now.hour} * * *"
|
||||
|
||||
config['schedule']['push_cron'] = [cron1, cron2]
|
||||
|
||||
print(f"\n当前时间: {now.strftime('%H:%M:%S')}")
|
||||
print(f"测试配置:")
|
||||
print(f" - 第1次推送: {cron1} (约 {sec_to_wait_1}s 后)")
|
||||
print(f" - 第2次推送: {cron2} (约 {sec_to_wait_2}s 后)")
|
||||
print()
|
||||
|
||||
# 使用 patch mock run_push_job，设置超时 3 分钟
|
||||
from src import main as main_module
|
||||
|
||||
test_task = None
|
||||
push_task = None
|
||||
|
||||
async def run_test():
|
||||
with patch.object(main_module, 'run_push_job', mock_run_push_job):
|
||||
await main_module.push_loop(config)
|
||||
|
||||
async def timeout_guard():
|
||||
await asyncio.sleep(180) # 3分钟超时
|
||||
print("\n⏱️ 测试超时")
|
||||
if push_task:
|
||||
push_task.cancel()
|
||||
|
||||
try:
|
||||
# 同时运行 push_loop 和超时守卫
|
||||
push_task = asyncio.create_task(run_test())
|
||||
timeout_task = asyncio.create_task(timeout_guard())
|
||||
|
||||
# 等待 push_task 完成或超时
|
||||
while push_task and not push_task.done():
|
||||
if len(call_times) >= 2:
|
||||
push_task.cancel()
|
||||
break
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
timeout_task.cancel()
|
||||
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
# 验证结果
|
||||
print("\n" + "="*50)
|
||||
print("📊 测试结果验证")
|
||||
print("="*50)
|
||||
|
||||
if len(call_times) >= 2:
|
||||
print(f"✅ 成功调用 {len(call_times)} 次")
|
||||
for i, t in enumerate(call_times, 1):
|
||||
print(f" 第{i}次: {t.strftime('%H:%M:%S')}")
|
||||
|
||||
interval = (call_times[1] - call_times[0]).total_seconds()
|
||||
print(f"\n实际间隔: {interval:.1f} 秒")
|
||||
if 55 <= interval <= 65:
|
||||
print("✅ 间隔正确 (约60秒)")
|
||||
else:
|
||||
print(f"⚠️ 间隔异常 (期望 ~60秒)")
|
||||
else:
|
||||
print(f"❌ 只调用了 {len(call_times)} 次，期望 2 次")
|
||||
|
||||
if __name__ == "__main__":
|
||||
try:
|
||||
asyncio.run(main())
|
||||
except KeyboardInterrupt:
|
||||
print("\n\n👋 测试已取消")
|
||||
sys.exit(130)
|
||||
Generated
+889
@@ -0,0 +1,889 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
version = "2.6.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
version = "3.13.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohappyeyeballs" },
|
||||
{ name = "aiosignal" },
|
||||
{ name = "attrs" },
|
||||
{ name = "frozenlist" },
|
||||
{ name = "multidict" },
|
||||
{ name = "propcache" },
|
||||
{ name = "yarl" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/77/9a/152096d4808df8e4268befa55fba462f440f14beab85e8ad9bf990516918/aiohttp-3.13.5.tar.gz", hash = "sha256:9d98cc980ecc96be6eb4c1994ce35d28d8b1f5e5208a23b421187d1209dbb7d1", size = 7858271, upload-time = "2026-03-31T22:01:03.343Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/be/6f/353954c29e7dcce7cf00280a02c75f30e133c00793c7a2ed3776d7b2f426/aiohttp-3.13.5-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:023ecba036ddd840b0b19bf195bfae970083fd7024ce1ac22e9bba90464620e9", size = 748876, upload-time = "2026-03-31T21:57:36.319Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f5/1b/428a7c64687b3b2e9cd293186695affc0e1e54a445d0361743b231f11066/aiohttp-3.13.5-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:15c933ad7920b7d9a20de151efcd05a6e38302cbf0e10c9b2acb9a42210a2416", size = 499557, upload-time = "2026-03-31T21:57:38.236Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/29/47/7be41556bfbb6917069d6a6634bb7dd5e163ba445b783a90d40f5ac7e3a7/aiohttp-3.13.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ab2899f9fa2f9f741896ebb6fa07c4c883bfa5c7f2ddd8cf2aafa86fa981b2d2", size = 500258, upload-time = "2026-03-31T21:57:39.923Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/67/84/c9ecc5828cb0b3695856c07c0a6817a99d51e2473400f705275a2b3d9239/aiohttp-3.13.5-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a60eaa2d440cd4707696b52e40ed3e2b0f73f65be07fd0ef23b6b539c9c0b0b4", size = 1749199, upload-time = "2026-03-31T21:57:41.938Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f0/d3/3c6d610e66b495657622edb6ae7c7fd31b2e9086b4ec50b47897ad6042a9/aiohttp-3.13.5-cp312-cp312-manylinux2014_armv7l.manylinux_2_17_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:55b3bdd3292283295774ab585160c4004f4f2f203946997f49aac032c84649e9", size = 1721013, upload-time = "2026-03-31T21:57:43.904Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/a0/24409c12217456df0bae7babe3b014e460b0b38a8e60753d6cb339f6556d/aiohttp-3.13.5-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:c2b2355dc094e5f7d45a7bb262fe7207aa0460b37a0d87027dcf21b5d890e7d5", size = 1781501, upload-time = "2026-03-31T21:57:46.285Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/9d/b65ec649adc5bccc008b0957a9a9c691070aeac4e41cea18559fef49958b/aiohttp-3.13.5-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:b38765950832f7d728297689ad78f5f2cf79ff82487131c4d26fe6ceecdc5f8e", size = 1878981, upload-time = "2026-03-31T21:57:48.734Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/57/d8/8d44036d7eb7b6a8ec4c5494ea0c8c8b94fbc0ed3991c1a7adf230df03bf/aiohttp-3.13.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b18f31b80d5a33661e08c89e202edabf1986e9b49c42b4504371daeaa11b47c1", size = 1767934, upload-time = "2026-03-31T21:57:51.171Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/31/04/d3f8211f273356f158e3464e9e45484d3fb8c4ce5eb2f6fe9405c3273983/aiohttp-3.13.5-cp312-cp312-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:33add2463dde55c4f2d9635c6ab33ce154e5ecf322bd26d09af95c5f81cfa286", size = 1566671, upload-time = "2026-03-31T21:57:53.326Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/41/db/073e4ebe00b78e2dfcacff734291651729a62953b48933d765dc513bf798/aiohttp-3.13.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:327cc432fdf1356fb4fbc6fe833ad4e9f6aacb71a8acaa5f1855e4b25910e4a9", size = 1705219, upload-time = "2026-03-31T21:57:55.385Z" },
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Reference in New Issue
Block a user