From 1dc2fed5fabf12e6042836630265f66b93c42320 Mon Sep 17 00:00:00 2001 From: yumao Date: Thu, 2 Jul 2026 15:10:37 +0800 Subject: [PATCH] =?UTF-8?q?=E5=9B=BD=E5=86=85AI=E6=97=B6=E8=AE=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .env.example | 3 + README.md | 11 ++- daily/format_wecom.py | 7 ++ daily/generate.py | 38 +++++++- daily/news/__init__.py | 14 ++- daily/news/feeds.py | 1 + daily/news/feeds_cn.py | 71 +++++++++++++++ daily/news/fetch.py | 168 ++++++++++++++++++++++++++++++------ daily/report_data.py | 18 +++- skills/daily-agent/SKILL.md | 11 ++- 10 files changed, 305 insertions(+), 37 deletions(-) create mode 100644 daily/news/feeds_cn.py diff --git a/.env.example b/.env.example index 8a9268f..d8f1fd9 100644 --- a/.env.example +++ b/.env.example @@ -32,6 +32,7 @@ DAILY_WECOM_GITHUB_TRENDING=10 DAILY_WECOM_GITHUB_EMERGING=10 DAILY_WECOM_GITHUB_TOPIC=10 DAILY_WECOM_AI_NEWS=10 +DAILY_WECOM_CN_AI_NEWS=8 # 企微 Skills 合并前扫描池大小（同 source 合并后仍凑满 Top N） # DAILY_WECOM_SKILL_POOL=200 @@ -43,6 +44,8 @@ DAILY_WECOM_CHUNK_BYTES=4096 # 国际 AI 时讯（RSS，见 daily/news/feeds.py） DAILY_AI_NEWS=1 +# 国内 AI 时讯（RSS，见 daily/news/feeds_cn.py） +DAILY_CN_AI_NEWS=1 # 英文描述 → 简短中文（DAILY_CURSOR_EDITOR=0 时生效） # DAILY_ZH_DESC=1 # DAILY_ZH_DESC_BATCH=20 diff --git a/README.md b/README.md index eb7d227..508f8cd 100644 --- a/README.md +++ b/README.md @@ -84,7 +84,16 @@ WECOM_WEBHOOK_KEY=your-key | 研究 / 论文 | arXiv cs.CL/AI/LG、HF Papers | | 社区讨论 | HN、Reddit r/LocalLLaMA / ClaudeAI / ML 等 | -环境变量：`DAILY_AI_NEWS=1` · `DAILY_AI_NEWS_HOURS=72` · `DAILY_WECOM_AI_NEWS=8` +环境变量：`DAILY_AI_NEWS=1` · `DAILY_CN_AI_NEWS=1` · `DAILY_AI_NEWS_HOURS=72` · `DAILY_WECOM_AI_NEWS=10` · `DAILY_WECOM_CN_AI_NEWS=8` + +**国内 AI 时讯**（RSS，见 `daily/news/feeds_cn.py`）： + +| 类别 | 覆盖 | +|------|------| +| AI 专业媒体 | 量子位、InfoQ 中文 | +| 综合科技 | 36氪、雷锋网、Google News 中文 | +| 开发者社区 | 掘金（标题 AI 关键词过滤） | + ### 生成架构（Tier B · Cursor 编辑层） diff --git a/daily/format_wecom.py b/daily/format_wecom.py index 2e3c930..7651ea8 100644 --- a/daily/format_wecom.py +++ b/daily/format_wecom.py @@ -18,6 +18,7 @@ ICONS = { "emerging": "🌱", "topic": "🤖", "ainews": "🌍", + "cnainews": "🇨🇳", "pick": "📦", "theme": "🎯", "file": "📄", @@ -231,6 +232,7 @@ def build_wecom_report( topic_name: str, topic_repos: list[dict[str, Any]], ai_news: list[dict[str, Any]] | None = None, + cn_ai_news: list[dict[str, Any]] | None = None, pick_command: str, ) -> str: lines = [ @@ -250,6 +252,11 @@ def build_wecom_report( lines.extend(_ai_news_lines(ai_news)) lines.append("") + if cn_ai_news: + lines.append(f"{ICONS['cnainews']} **国内 AI 时讯 Top {len(cn_ai_news)}**") + lines.extend(_ai_news_lines(cn_ai_news)) + lines.append("") + lines.append(f"{ICONS['trending']} **Skills Trending Top {len(trending)}**") for rank, item in enumerate(trending, 1): lines.extend(_skill_line(rank, item, badge=item.get("badge", ""))) diff --git a/daily/generate.py b/daily/generate.py index 7370d40..dfca5ba 100644 --- a/daily/generate.py +++ b/daily/generate.py @@ -42,7 +42,14 @@ from daily.github.auth import github_html_headers from daily.github.search import fetch_emerging_repos, fetch_topic_hot_repos from daily.github.trending import fetch_github_trending, trending_data_source_note from daily.localize import LocalizeJob, localize_descriptions, needs_chinese -from daily.news.fetch import fetch_ai_news, format_news_section, prepare_wecom_news_items +from daily.news.fetch import ( + fetch_ai_news, + fetch_cn_ai_news, + format_cn_news_section, + format_news_section, + prepare_wecom_cn_news_items, + prepare_wecom_news_items, +) from daily.report_data import ( build_full_payload, build_llm_input, @@ -90,6 +97,7 @@ def _localize_descriptions_in_place( github_emerging: list[dict[str, Any]], github_topic: list[dict[str, Any]], ai_news: dict[str, Any], + cn_ai_news: dict[str, Any] | None = None, ) -> None: full_limit = full_desc_limit() news_limit = news_summary_limit() @@ -264,6 +272,7 @@ def _build_highlights( github_trending: list[dict[str, Any]], github_emerging: list[dict[str, Any]], ai_news: dict[str, Any] | None = None, + cn_ai_news: dict[str, Any] | None = None, ) -> list[str]: points: list[str] = [] if ai_news and ai_news.get("enabled"): @@ -278,6 +287,20 @@ def _build_highlights( n0 = ai_news["flat"][0] pub = f" · {n0['published_fmt']}" if n0.get("published_fmt") else "" points.append(f"🌍 AI 时讯 [{n0['title']}]({n0['link']})（`{n0.get('source_name', '?')}`{pub}）") + if cn_ai_news and cn_ai_news.get("enabled"): + top_cn = prepare_wecom_cn_news_items(cn_ai_news) + if top_cn: + n0 = top_cn[0] + pub = f" · {n0['published_fmt']}" if n0.get("published_fmt") else "" + points.append( + f"🇨🇳 国内 AI [{n0['title']}]({n0['link']})（`{n0.get('source_name', '?')}`{pub}）" + ) + elif cn_ai_news.get("flat"): + n0 = cn_ai_news["flat"][0] + pub = f" · {n0['published_fmt']}" if n0.get("published_fmt") else "" + points.append( + f"🇨🇳 国内 AI [{n0['title']}]({n0['link']})（`{n0.get('source_name', '?')}`{pub}）" + ) if trending: t0 = trending[0] points.append(f"📈 Skills 榜首 **{t0.get('title')}**（{_format_installs(t0.get('installs', 0))}）") @@ -418,6 +441,7 @@ def generate_report() -> tuple[str, str, Path, Path]: seen_repos.update(r["repo"] for r in github_emerging) topic_name, github_topic = fetch_topic_hot_repos(topic_fetch_n, exclude=seen_repos) ai_news = fetch_ai_news() + cn_ai_news = fetch_cn_ai_news() wecom_limits = { "trending": wecom_trending, @@ -428,6 +452,7 @@ def generate_report() -> tuple[str, str, Path, Path]: "emerging": wecom_emerging, "topic": wecom_topic, "ai_news": env_int("DAILY_WECOM_AI_NEWS", 10), + "cn_ai_news": env_int("DAILY_WECOM_CN_AI_NEWS", 8), } llm_input = build_llm_input( date_str=date_str, @@ -439,6 +464,7 @@ def generate_report() -> tuple[str, str, Path, Path]: github_topic=github_topic, topic_name=topic_name, ai_news=ai_news, + cn_ai_news=cn_ai_news, wecom_limits=wecom_limits, ) save_json( @@ -476,6 +502,7 @@ def generate_report() -> tuple[str, str, Path, Path]: github_emerging=github_emerging, github_topic=github_topic, ai_news=ai_news, + cn_ai_news=cn_ai_news, descriptions=editorial.get("descriptions") or {}, ) editorial_theme = theme_line_from_editorial(editorial) or None @@ -484,7 +511,7 @@ def generate_report() -> tuple[str, str, Path, Path]: # 完整版归档：中文化 + 加长摘要（已是中文的条目会跳过翻译） _localize_descriptions_in_place( - trending, hot, github_trending, github_emerging, github_topic, ai_news + trending, hot, github_trending, github_emerging, github_topic, ai_news, cn_ai_news ) themes = _theme_clusters(feed) @@ -494,7 +521,7 @@ def generate_report() -> tuple[str, str, Path, Path]: "", f"> 生成时间：{now.strftime('%Y-%m-%d %H:%M')} (UTC+8) ", f"> skills 数据更新：{updated} ", - "> 数据来源：[skills.sh/trending](https://skills.sh/trending) · [skills.sh/hot](https://skills.sh/hot) · 国际 AI RSS", + "> 数据来源：[skills.sh/trending](https://skills.sh/trending) · [skills.sh/hot](https://skills.sh/hot) · 国际/国内 AI RSS", "", "---", "", @@ -538,6 +565,8 @@ def generate_report() -> tuple[str, str, Path, Path]: section_no = 6 lines.extend(format_news_section(ai_news, section_no=section_no)) section_no += 1 + lines.extend(format_cn_news_section(cn_ai_news, section_no=section_no)) + section_no += 1 watch = (env("GITHUB_REPOS") or "").strip() if watch: @@ -581,9 +610,10 @@ def generate_report() -> tuple[str, str, Path, Path]: time_str=time_str, updated=updated, highlights=editorial_highlights - or _build_highlights(trending, hot, github_trending, github_emerging, ai_news), + or _build_highlights(trending, hot, github_trending, github_emerging, ai_news, cn_ai_news), theme_line=editorial_theme or _detect_theme_line(feed), ai_news=prepare_wecom_news_items(ai_news), + cn_ai_news=prepare_wecom_cn_news_items(cn_ai_news), trending=[ _prepare_skill_item(item, prev_ids, r) for r, item in enumerate( diff --git a/daily/news/__init__.py b/daily/news/__init__.py index 0603dee..4e54ad4 100644 --- a/daily/news/__init__.py +++ b/daily/news/__init__.py @@ -1,3 +1,13 @@ -from daily.news.fetch import fetch_ai_news, format_news_section +from daily.news.fetch import ( + fetch_ai_news, + fetch_cn_ai_news, + format_cn_news_section, + format_news_section, +) -__all__ = ["fetch_ai_news", "format_news_section"] +__all__ = [ + "fetch_ai_news", + "fetch_cn_ai_news", + "format_news_section", + "format_cn_news_section", +] diff --git a/daily/news/feeds.py b/daily/news/feeds.py index a1fa80b..05676c2 100644 --- a/daily/news/feeds.py +++ b/daily/news/feeds.py @@ -10,6 +10,7 @@ class NewsFeed: name: str url: str slow: bool = False # 限速源（如 Reddit）串行抓取 + ai_filter: bool = False # 综合源仅保留标题命中 AI 关键词的条目 @dataclass(frozen=True) diff --git a/daily/news/feeds_cn.py b/daily/news/feeds_cn.py new file mode 100644 index 0000000..1b37e21 --- /dev/null +++ b/daily/news/feeds_cn.py @@ -0,0 +1,71 @@ +"""国内 AI 时讯 RSS 源定义（按类别分组）。""" + +from __future__ import annotations + +from daily.news.feeds import NewsCategory, NewsFeed + +# 综合源 ai_filter=True 时，仅保留标题命中以下词之一的条目 +CN_AI_TITLE_KEYWORDS: tuple[str, ...] = ( + "人工智能", + "大模型", + "智能体", + "多模态", + "AIGC", + "LLM", + "GPT", + "Claude", + "Gemini", + "ChatGPT", + "OpenAI", + "Anthropic", + "Copilot", + "Agent", + "AI ", + " AI", + "AI·", + "AI业务", + "AI模型", + "AI助手", + "AI工具", + "AI编程", + "AI 编程", + "AI版", + "AI Agent", + "推理模型", + "深度学习", + "机器学习", + "Function Calling", +) + +CN_NEWS_CATEGORIES: tuple[NewsCategory, ...] = ( + NewsCategory( + id="media", + name="AI 专业媒体", + icon="📰", + feeds=( + NewsFeed("量子位", "https://www.qbitai.com/feed"), + NewsFeed("InfoQ 中文", "https://www.infoq.cn/feed/AI"), + ), + ), + NewsCategory( + id="tech", + name="综合科技", + icon="📱", + feeds=( + NewsFeed("36氪", "https://36kr.com/feed", ai_filter=True), + NewsFeed("雷锋网", "https://www.leiphone.com/feed"), + NewsFeed( + "Google News · AI", + "https://news.google.com/rss/search?q=人工智能+OR+大模型+OR+Agent+OR+LLM&hl=zh-CN&gl=CN&ceid=CN:zh-Hans", + ), + ), + ), + NewsCategory( + id="dev", + name="开发者社区", + icon="💻", + feeds=( + NewsFeed("掘金", "https://juejin.cn/rss", ai_filter=True), + ), + ), +) diff --git a/daily/news/fetch.py b/daily/news/fetch.py index 05f11bc..1250f11 100644 --- a/daily/news/fetch.py +++ b/daily/news/fetch.py @@ -1,4 +1,4 @@ -"""抓取并整理国际 AI 时讯 RSS。""" +"""抓取并整理国际 / 国内 AI 时讯 RSS。""" from __future__ import annotations @@ -17,7 +17,8 @@ import certifi import httpx from daily.config import env, env_int, news_summary_limit -from daily.news.feeds import NEWS_CATEGORIES, NewsCategory +from daily.news.feeds import NEWS_CATEGORIES, NewsCategory, NewsFeed +from daily.news.feeds_cn import CN_AI_TITLE_KEYWORDS, CN_NEWS_CATEGORIES logger = logging.getLogger(__name__) @@ -39,6 +40,11 @@ def _enabled() -> bool: return raw not in {"0", "false", "no", "off"} +def _cn_enabled() -> bool: + raw = (env("DAILY_CN_AI_NEWS") or "1").strip().lower() + return raw not in {"0", "false", "no", "off"} + + def _hours_window() -> int: return max(1, env_int("DAILY_AI_NEWS_HOURS", 72)) @@ -55,6 +61,27 @@ def _wecom_limit() -> int: return max(1, env_int("DAILY_WECOM_AI_NEWS", 10)) +def _wecom_cn_limit() -> int: + return max(1, env_int("DAILY_WECOM_CN_AI_NEWS", 8)) + + +def _matches_cn_ai_title(title: str) -> bool: + text = title.strip() + if not text: + return False + lower = text.lower() + for keyword in CN_AI_TITLE_KEYWORDS: + if keyword.lower() in lower: + return True + return False + + +def _filter_ai_entries(entries: list[dict[str, Any]], *, ai_filter: bool) -> list[dict[str, Any]]: + if not ai_filter: + return entries + return [item for item in entries if _matches_cn_ai_title(item.get("title", ""))] + + def _now_utc() -> datetime: return datetime.now(timezone.utc) @@ -255,18 +282,23 @@ def _reddit_fetch_urls(feed_url: str) -> list[str]: return [primary, fallback] -def _fetch_one(client: httpx.Client, category: NewsCategory, feed_url: str, feed_name: str) -> list[dict[str, Any]]: +def _fetch_one( + client: httpx.Client, + category: NewsCategory, + feed: NewsFeed, +) -> list[dict[str, Any]]: last_exc: Exception | None = None - for url in _reddit_fetch_urls(feed_url): + for url in _reddit_fetch_urls(feed.url): try: headers = _request_headers(dict(client.headers), url) resp = client.get(url, headers=headers) resp.raise_for_status() - return _parse_feed(resp.text, feed_name, category) + entries = _parse_feed(resp.text, feed.name, category) + return _filter_ai_entries(entries, ai_filter=feed.ai_filter) except Exception as exc: last_exc = exc continue - logger.warning("RSS fetch failed [%s] %s: %s", feed_name, feed_url, last_exc) + logger.warning("RSS fetch failed [%s] %s: %s", feed.name, feed.url, last_exc) return [] @@ -299,33 +331,29 @@ def _sort_key(item: dict[str, Any]) -> tuple[int, datetime]: return (0, dt) -def fetch_ai_news() -> dict[str, Any]: - """按类别抓取 AI 时讯，返回 {enabled, hours, categories, flat, stats}。""" - if not _enabled(): - return {"enabled": False, "categories": [], "flat": [], "stats": {}} - +def _fetch_news(categories: tuple[NewsCategory, ...]) -> dict[str, Any]: hours = _hours_window() per_feed = _per_feed_limit() per_category = _per_category_limit() cutoff = _now_utc() - timedelta(hours=hours) headers = {"User-Agent": USER_AGENT, "Accept": "application/rss+xml, application/atom+xml, application/xml, text/xml, */*"} - tasks: list[tuple[NewsCategory, str, str, bool]] = [] - for category in NEWS_CATEGORIES: + tasks: list[tuple[NewsCategory, NewsFeed]] = [] + for category in categories: for feed in category.feeds: - tasks.append((category, feed.url, feed.name, feed.slow)) + tasks.append((category, feed)) - raw_by_category: dict[str, list[dict[str, Any]]] = {c.id: [] for c in NEWS_CATEGORIES} + raw_by_category: dict[str, list[dict[str, Any]]] = {c.id: [] for c in categories} stats = {"feeds_total": len(tasks), "feeds_ok": 0, "items_raw": 0} with httpx.Client(timeout=15.0, verify=certifi.where(), follow_redirects=True, headers=headers) as client: - fast_tasks = [t for t in tasks if not t[3]] - slow_tasks = [t for t in tasks if t[3]] + fast_tasks = [t for t in tasks if not t[1].slow] + slow_tasks = [t for t in tasks if t[1].slow] with ThreadPoolExecutor(max_workers=8) as pool: futures = { - pool.submit(_fetch_one, client, cat, url, name): (cat.id, name) - for cat, url, name, _slow in fast_tasks + pool.submit(_fetch_one, client, cat, feed): (cat.id, feed.name) + for cat, feed in fast_tasks } for future in as_completed(futures): cat_id, feed_name = futures[future] @@ -339,13 +367,13 @@ def fetch_ai_news() -> dict[str, Any]: stats["items_raw"] += len(entries) raw_by_category[cat_id].extend(entries[:per_feed]) - for cat, url, name, _slow in slow_tasks: - entries = _fetch_one(client, cat, url, name) + for cat, feed in slow_tasks: + entries = _fetch_one(client, cat, feed) if entries: stats["feeds_ok"] += 1 stats["items_raw"] += len(entries) raw_by_category[cat.id].extend(entries[:per_feed]) - if _is_reddit_url(url): + if _is_reddit_url(feed.url): time.sleep(2.0) else: time.sleep(1.0) @@ -353,7 +381,7 @@ def fetch_ai_news() -> dict[str, Any]: categories_out: list[dict[str, Any]] = [] flat: list[dict[str, Any]] = [] - for category in NEWS_CATEGORIES: + for category in categories: items = raw_by_category[category.id] items = [i for i in items if _within_window(i, cutoff)] items.sort(key=_sort_key, reverse=True) @@ -384,16 +412,57 @@ def fetch_ai_news() -> dict[str, Any]: } +def fetch_ai_news() -> dict[str, Any]: + """按类别抓取国际 AI 时讯，返回 {enabled, hours, categories, flat, stats}。""" + if not _enabled(): + return {"enabled": False, "categories": [], "flat": [], "stats": {}} + return _fetch_news(NEWS_CATEGORIES) + + +def fetch_cn_ai_news() -> dict[str, Any]: + """按类别抓取国内 AI 时讯，返回 {enabled, hours, categories, flat, stats}。""" + if not _cn_enabled(): + return {"enabled": False, "categories": [], "flat": [], "stats": {}} + return _fetch_news(CN_NEWS_CATEGORIES) + + def format_news_section(news: dict[str, Any], *, section_no: int, wecom_limit: int | None = None) -> list[str]: + return _format_news_section( + news, + section_no=section_no, + title="国际 AI 时讯", + disabled_hint="AI 时讯已关闭（`DAILY_AI_NEWS=0`）。", + wecom_limit=wecom_limit, + ) + + +def format_cn_news_section(news: dict[str, Any], *, section_no: int, wecom_limit: int | None = None) -> list[str]: + return _format_news_section( + news, + section_no=section_no, + title="国内 AI 时讯", + disabled_hint="国内 AI 时讯已关闭（`DAILY_CN_AI_NEWS=0`）。", + wecom_limit=wecom_limit, + ) + + +def _format_news_section( + news: dict[str, Any], + *, + section_no: int, + title: str, + disabled_hint: str, + wecom_limit: int | None = None, +) -> list[str]: if not news.get("enabled"): - return ["---", "", f"## {section_no}、国际 AI 时讯", "", "*AI 时讯已关闭（`DAILY_AI_NEWS=0`）。*", ""] + return ["---", "", f"## {section_no}、{title}", "", f"*{disabled_hint}*", ""] categories = news.get("categories") or [] hours = news.get("hours", 72) lines = [ "---", "", - f"## {section_no}、国际 AI 时讯", + f"## {section_no}、{title}", "", f"> 近 **{hours}h** · {news.get('stats', {}).get('feeds_ok', 0)}/{news.get('stats', {}).get('feeds_total', 0)} 源可用", "", @@ -460,3 +529,52 @@ def prepare_wecom_news_items(news: dict[str, Any]) -> list[dict[str, Any]]: } ) return items + + +def prepare_wecom_cn_news_items(news: dict[str, Any]) -> list[dict[str, Any]]: + if not news.get("enabled"): + return [] + limit = _wecom_cn_limit() + flat = _dedupe_items(news.get("flat") or []) + flat.sort(key=_sort_key, reverse=True) + preferred = ("media", "tech", "dev") + picked: list[dict[str, Any]] = [] + seen_links: set[str] = set() + seen_sources: set[str] = set() + + for cat in preferred: + for item in flat: + link = _normalize_link(item.get("link", "")) + source = item.get("source_name", "?") + if item.get("category_id") != cat or not link or link in seen_links or source in seen_sources: + continue + picked.append(item) + seen_links.add(link) + seen_sources.add(source) + if len(picked) >= limit: + break + if len(picked) >= limit: + break + + if len(picked) < limit: + for item in flat: + link = _normalize_link(item.get("link", "")) + if not link or link in seen_links: + continue + picked.append(item) + seen_links.add(link) + if len(picked) >= limit: + break + + items: list[dict[str, Any]] = [] + for item in picked[:limit]: + items.append( + { + "title": item.get("title", "?"), + "link": item.get("link", ""), + "source_name": item.get("source_name", "?"), + "published_fmt": item.get("published_fmt", ""), + "desc_short": _clean_text(item.get("summary", ""), 36), + } + ) + return items diff --git a/daily/report_data.py b/daily/report_data.py index 6deb7d1..ea8f2ed 100644 --- a/daily/report_data.py +++ b/daily/report_data.py @@ -8,7 +8,7 @@ from typing import Any from daily.config import OUTPUT_DIR, env_int from daily.delta import build_movement_baseline, build_movement_context, compare_depth -from daily.news.fetch import prepare_wecom_news_items +from daily.news.fetch import prepare_wecom_cn_news_items, prepare_wecom_news_items from daily.skills_group import group_skills_by_source @@ -54,9 +54,14 @@ def _slim_github(item: dict[str, Any]) -> dict[str, Any]: } -def _slim_news_items(ai_news: dict[str, Any], limit: int) -> list[dict[str, Any]]: +def _slim_news_items( + ai_news: dict[str, Any], + limit: int, + *, + prepare=prepare_wecom_news_items, +) -> list[dict[str, Any]]: items: list[dict[str, Any]] = [] - for item in prepare_wecom_news_items(ai_news): + for item in prepare(ai_news): items.append( { "link": item.get("link", ""), @@ -98,10 +103,12 @@ def build_llm_input( github_topic: list[dict[str, Any]], topic_name: str, ai_news: dict[str, Any], + cn_ai_news: dict[str, Any], wecom_limits: dict[str, int], ) -> dict[str, Any]: """供 Cursor 编辑的精简 JSON（不含完整 markdown）。""" news_limit = wecom_limits.get("ai_news", 10) + cn_news_limit = wecom_limits.get("cn_ai_news", 8) depth = compare_depth() trend_cmp = trending[:depth] hot_cmp = hot[:depth] @@ -153,6 +160,11 @@ def build_llm_input( "repos": [_slim_github(x) for x in topic_slice], }, "ai_news": _slim_news_items(ai_news, news_limit) if ai_news.get("enabled") else [], + "cn_ai_news": _slim_news_items( + cn_ai_news, cn_news_limit, prepare=prepare_wecom_cn_news_items + ) + if cn_ai_news.get("enabled") + else [], "movement": movement, "movement_baseline": movement_baseline, } diff --git a/skills/daily-agent/SKILL.md b/skills/daily-agent/SKILL.md index 8a860c4..c61d1e7 100644 --- a/skills/daily-agent/SKILL.md +++ b/skills/daily-agent/SKILL.md @@ -29,6 +29,8 @@ Step 2 基于趋势 + 原始数据 → 写企微 Markdown 早报 | `github_topic.topic` | Topic 名称，用于区块标题（如 `llm`） | | `movement.*_moves` | 较昨日新增（**仅**用于 opening / signals，**不**用于列表区块） | | `movement.*_summary` | 新增摘要（可选写入 signals） | +| `ai_news` | 国际 AI 时讯 Top N | +| `cn_ai_news` | 国内 AI 时讯 Top N | **禁止**使用已合并的 `skills_moves` / `github_moves` 自行扩写；**禁止**排名变化、安装涨跌。 @@ -98,6 +100,10 @@ Step 1 的 `signals` 与 `top_picks` **优先引用 Top 榜榜首/前列条目 1. [{title_zh}]({link}) — {why 或摘要} 2. ...（**必须 10 条**，来自 `ai_news`，按重要性排序） +🇨🇳 **国内 AI · 精选 8** +1. [{title}]({link}) — {why 或摘要} +2. ...（**必须 8 条**，来自 `cn_ai_news`，按重要性排序；标题已是中文，可微调润色） + 🐙 **GitHub Trending Top {N}** @@ -120,8 +126,9 @@ Step 1 的 `signals` 与 `top_picks` **优先引用 Top 榜榜首/前列条目 3. **禁止**改用 `movement.*_moves` 作为列表来源；movement 仅用于 opening / signals 描述「今日新增」 4. **禁止**在条目后写 `（新入 … #n）` 类括号标注 5. **即使某榜较昨日无新增，仍须完整列出 Top 榜条目** -6. **国际 AI 必须 10 条** -7. 禁止排名变化、安装涨跌、连霸描述 +6. **国际 AI 必须 10 条**（来自 `ai_news`） +7. **国内 AI 必须 8 条**（来自 `cn_ai_news`；无数据时写「暂无可用条目」） +8. 禁止排名变化、安装涨跌、连霸描述 ```markdown 📈 **Skills Trending Top 10**