🛰️ Signaler

Automated RSS translation and summarization pipeline for Markdown-based AI blog publishing.

Overview

Signaler is an automated toolchain for fetching, translating, and summarizing tech news from RSS feeds into localized Markdown content. It supports multi-stage processing including full-text extraction, translation into Simplified Chinese, content summarization, and integration into static blog sites.

Project Structure

File	Description
rss_fetch.py	Fetch RSS articles and convert them into .md
AI_summarizer.py	Translate, summarize and enrich Markdown files using OpenAI
main.py	Entry point, orchestrates fetch and summarize steps
last_fetched.json	Cache to avoid duplicate fetching

• In rss_fetch:

  • FEED = [] # list of RSS url
  • OUTPUT_DIR = "" # PATH of fetched files(saved in .md)
  • create new file last_fetched.json which saves newest fetching date of each RSS url

• AI_summarizer provides Batch Translation of Markdown + Summary + Description

  1. Recursively traverse all *.md files under SRC_DIR
  2. Translate the main content into Simplified Chinese
  3. Generate a summary (default: < 200 characters) and insert it after the front matter
  4. Generate a one-sentence introduction and write it to front-matter.description
  5. Write the new file to DST_DIR following the original relative path; DST_DIR may already exist or will be created automatically; files with the same name will be overwritten
  6. Rename processed source files by adding the prefix “[ds]” to the filename; files already marked will be skipped in future runs of the script

Usage

Dependencies

• feedparser
• newspaper3k
• openai
• tqdm
• python-dotenv
• markdownify （optional）

Run

python main.py

Configuration

Directly set your OpenAI API key in AI_summarizer.py

Example Output

---
title: 如同人类一般，人工智能正迫使机构重新审视其存在意义
pubDatetime: 2025-06-08 20:00:00+00:00
tags:
- 认知迁移
- AI伦理
- 长期视野
description: AI时代推动认知迁移，要求机构重塑结构、平衡效率与人性化，坚守伦理与人类独特价值，实现制度化转型。
---
*[源信息](https://venturebeat.com/ai/like-humans-ai-is-forcing-institutions-to-rethink-their-purpose/)经过deepseek翻译并总结*
## 摘要：
认知迁移推动个人与机构蜕变，AI颠覆思维、协作与决策，挑战教育、政府等传统机构根基。工业时代设计的机构面临系统性危机，需提升适应性，坚守人类尊严等非算法化价值。部分机构已尝试AI应用，但深层挑战在于结构性重塑，平衡效率与人性化。新时代机构设计原则包括：增强响应力、利用AI解放人力、保留人类关键判断。机构需主动重构身份与功能，在AI时代重建权威，坚守伦理与长期视野，重新定义人类独特价值。智能时代要求机构进化，实现认知迁移的制度化转型。
---
[Content]

TODO

• Muti-language Translation
• RSS filter by date, keyword or topic
• Visualized Web UI

License

MIT License

Author

Created by mitatis(zik.ai) – [zik-3.com]