feat: generate 以 board_select 为唯一列表主人并写回 shown keys

Co-authored-by: Cursor <cursoragent@cursor.com>

daily/format_wecom.py

@@ -7,6 +7,7 @@ from typing import Any
 
 from daily.config import wecom_skill_desc_limit
 from daily.localize import LocalizeJob, localize_brief_descriptions, needs_chinese
+from daily.skills_group import group_skills_by_source, skill_id as board_skill_id
 from daily.text_utils import trim_brief
 
 ICONS = {
@@ -55,25 +56,177 @@ def _skill_line(rank: int, item: dict[str, Any], *, badge: str = "") -> list[str
     return lines
 
 
-def _ai_news_lines(items: list[dict[str, Any]]) -> list[str]:
+def _ai_news_link_label(item: dict[str, Any], *, merged: bool = False) -> str:
+    title = (item.get("title") or "?").strip() or "?"
+    source = (item.get("source_name") or "").strip()
+    if merged and source:
+        return f"{source} - {title}"
+    desc = (item.get("desc_short") or "").strip()
+    if desc:
+        return desc
+    return title
+
+
+def _ai_news_lines(items: list[dict[str, Any]], *, merged: bool = False) -> list[str]:
     lines: list[str] = []
     for i, item in enumerate(items, 1):
-        title = item.get("title", "?")
+        label = _ai_news_link_label(item, merged=merged)
         link = item.get("link", "")
         source = item.get("source_name", "?")
         pub = item.get("published_fmt", "")
-        desc = item.get("desc_short", "")
+        desc = (item.get("desc_short") or "").strip()
-        pub_suffix = f" · {pub}" if pub else ""
+        pub_suffix = "" if merged else (f" · {pub}" if pub else "")
         if link:
-            head = f"{i}. [**{title}**]({link}) · `{source}`{pub_suffix}"
+            if merged and desc:
+                head = f"{i}. [{label}]({link}) — {desc}{pub_suffix}"
+            elif merged:
+                head = f"{i}. [{label}]({link}){pub_suffix}"
+            else:
+                head = f"{i}. [{label}]({link}) · `{source}`{pub_suffix}"
+        elif merged and desc:
+            head = f"{i}. {label} — {desc}{pub_suffix}"
         else:
-            head = f"{i}. **{title}** · `{source}`{pub_suffix}"
+            head = f"{i}. {label} · `{source}`{pub_suffix}"
         lines.append(head)
-        if desc:
-            lines.append(f"   > {desc}")
     return lines
 
 
+_NEWS_BLOCK_END = re.compile(
+    r"\n\n(📈|🔥|🐙|🌱|🤖|📦|🎯|💡|🌍|🇨🇳|📰|🔧)",
+)
+
+
+def _build_merged_news_block(
+    items: list[dict[str, Any]],
+    tech_items: list[dict[str, Any]] | None = None,
+) -> str:
+    combined = list(items or [])
+    if tech_items:
+        combined.extend(tech_items)
+    if not combined:
+        return ""
+    parts = [f"📰 **AI 时讯精选 Top {len(combined)}**"]
+    parts.extend(_ai_news_lines(combined, merged=True))
+    return "\n".join(parts) + "\n"
+
+
+def _replace_merged_news_block(
+    md: str,
+    items: list[dict[str, Any]],
+    tech_items: list[dict[str, Any]] | None = None,
+) -> str:
+    if not items and not tech_items:
+        return md
+    block = _build_merged_news_block(items, tech_items)
+    start_pat = re.compile(
+        r"^📰 \*\*AI 时讯精选[^\n]*\*\*\s*$",
+        re.MULTILINE,
+    )
+    match = start_pat.search(md)
+    if not match:
+        anchor = re.search(r"^(💡|🎯).*$", md, re.MULTILINE)
+        if anchor:
+            insert_at = anchor.end()
+            return md[:insert_at] + "\n\n" + block + md[insert_at:].lstrip("\n")
+        anchor2 = re.search(r"^(🌍|🇨🇳|📈|🔧).*$", md, re.MULTILINE)
+        if anchor2:
+            insert_at = anchor2.start()
+            return md[:insert_at] + block + md[insert_at:].lstrip("\n")
+        return md.rstrip() + "\n\n" + block
+    start = match.start()
+    tail = md[match.end() :]
+    end_rel = _NEWS_BLOCK_END.search(tail)
+    end = match.end() + (end_rel.start() if end_rel else len(tail))
+    return md[:start] + block + md[end:].lstrip("\n")
+
+
+def _remove_news_blocks(md: str, icons: tuple[str, ...], *, label_must_contain: str = "") -> str:
+    out = md
+    for icon in icons:
+        start_pat = re.compile(rf"^{re.escape(icon)} \*\*[^\n]+\*\*\s*$", re.MULTILINE)
+        while True:
+            match = None
+            for candidate in start_pat.finditer(out):
+                if label_must_contain and label_must_contain not in candidate.group(0):
+                    continue
+                match = candidate
+                break
+            if not match:
+                break
+            start = match.start()
+            tail = out[match.end() :]
+            end_rel = _NEWS_BLOCK_END.search(tail)
+            end = match.end() + (end_rel.start() if end_rel else len(tail))
+            out = out[:start] + out[end:].lstrip("\n")
+    return out
+
+
+def _replace_news_block(
+    md: str,
+    icon: str,
+    items: list[dict[str, Any]],
+    label: str,
+    *,
+    merged: bool = False,
+) -> str:
+    if not items:
+        return md
+    if merged:
+        start_pat = re.compile(
+            rf"^{re.escape(icon)} \*\*{re.escape(label)}[^\n]*\*\*\s*$",
+            re.MULTILINE,
+        )
+    else:
+        start_pat = re.compile(rf"^{re.escape(icon)} \*\*[^\n]+\*\*\s*$", re.MULTILINE)
+    match = start_pat.search(md)
+    block = (
+        f"{icon} **{label} Top {len(items)}**\n"
+        + "\n".join(_ai_news_lines(items, merged=merged))
+        + "\n"
+    )
+    if not match:
+        anchor = re.search(r"^(💡|🎯).*$", md, re.MULTILINE)
+        if anchor:
+            insert_at = anchor.end()
+            return md[:insert_at] + "\n\n" + block + md[insert_at:].lstrip("\n")
+        # 插在 🌍/🇨🇳 原位置，或 Skills 区块前
+        anchor2 = re.search(r"^(🌍|🇨🇳|📈).*$", md, re.MULTILINE)
+        if anchor2:
+            insert_at = anchor2.start()
+            return md[:insert_at] + block + md[insert_at:].lstrip("\n")
+        return md.rstrip() + "\n\n" + block
+    start = match.start()
+    tail = md[match.end() :]
+    end_rel = _NEWS_BLOCK_END.search(tail)
+    end = match.end() + (end_rel.start() if end_rel else len(tail))
+    return md[:start] + block + md[end:].lstrip("\n")
+
+
+def replace_wecom_news_sections(
+    md: str,
+    *,
+    ai_news: list[dict[str, Any]] | None = None,
+    cn_ai_news: list[dict[str, Any]] | None = None,
+    tech_ai_news: list[dict[str, Any]] | None = None,
+    merged: bool = False,
+) -> str:
+    """用 Python 整理后的新闻列表替换 Agent/模板中的时讯区块。"""
+    if merged and (ai_news or tech_ai_news):
+        out = _remove_news_blocks(md, ("🌍", "🇨🇳"))
+        out = _remove_news_blocks(out, ("📰",), label_must_contain="AI 时讯精选")
+        out = _remove_news_blocks(out, ("🔧",), label_must_contain="技术类时讯")
+        return _replace_merged_news_block(out, ai_news or [], tech_ai_news)
+    out = md
+    if cn_ai_news:
+        out = _replace_news_block(out, "🇨🇳", cn_ai_news, "国内 AI 时讯")
+    if ai_news:
+        out = _replace_news_block(out, "🌍", ai_news, "国际 AI 时讯")
+    return out
+
+
+WECOM_GITHUB_DESC_LIMIT = 40
+
+
 def _github_repo_lines(repos: list[dict[str, Any]], *, show_created: bool = False) -> list[str]:
     lines: list[str] = []
     for i, repo in enumerate(repos, 1):
@@ -94,12 +247,45 @@ def _github_repo_lines(repos: list[dict[str, Any]], *, show_created: bool = Fals
             meta_parts.append(f"创建于 {created}")
         meta = f" · {' · '.join(meta_parts)}" if meta_parts else ""
         lines.append(f"{i}. [{name}]({url}){meta}")
-        desc = repo.get("desc_short") or repo.get("description", "")
+        desc = repo.get("wecom_desc") or repo.get("desc_short") or repo.get("description", "")
         if desc:
-            lines.append(f"   > {desc}")
+            lines.append(f"   {desc}")
     return lines
 
 
+def finalize_wecom_github_repos(
+    items: list[dict[str, Any]],
+    *,
+    desc_limit: int | None = None,
+) -> list[dict[str, Any]]:
+    """为企微 GitHub 条目生成简短中文简介。"""
+    if desc_limit is None:
+        desc_limit = WECOM_GITHUB_DESC_LIMIT
+    limit = desc_limit if desc_limit > 0 else 40
+    copies: list[tuple[str, dict[str, Any]]] = []
+    jobs: list[LocalizeJob] = []
+    for item in items:
+        copy = dict(item)
+        desc = (copy.get("description") or copy.get("desc_short") or "").strip()
+        key = f"github:{copy.get('repo', '?')}"
+        if needs_chinese(desc) or len(desc) > limit:
+            jobs.append(LocalizeJob(key, desc, limit))
+        else:
+            copy["wecom_desc"] = desc
+        copies.append((key, copy))
+
+    zh_map = localize_brief_descriptions(jobs, archive=True)
+    out: list[dict[str, Any]] = []
+    for key, copy in copies:
+        if key in zh_map:
+            copy["wecom_desc"] = zh_map[key]
+        elif "wecom_desc" not in copy:
+            fallback = (copy.get("description") or copy.get("desc_short") or "").strip()
+            copy["wecom_desc"] = _brief_fallback_desc(fallback, limit) if fallback else ""
+        out.append(copy)
+    return out
+
+
 def _fallback_skill_desc(item: dict[str, Any]) -> str:
     if item.get("cluster"):
         count = int(item.get("cluster_count") or 1)
@@ -173,6 +359,7 @@ def _grouped_skill_to_wecom_item(
     if not item.get("wecom_desc"):
         desc = _brief_fallback_desc(desc, limit)
     return {
+        "id": str(item.get("id") or f"{item.get('source', '?')}/{item.get('title', '')}"),
         "title": item.get("title", ""),
         "source": item.get("source", "?"),
         "installs_fmt": installs_fmt,
@@ -196,39 +383,178 @@ def build_skills_board_section(icon_key: str, board_label: str, items: list[dict
 
 def _move_to_wecom_skill_item(move: dict[str, Any]) -> dict[str, Any]:
     installs = int(move.get("installs") or 0)
-    rank = move.get("rank", "?")
-    board_badge = (move.get("badge") or "").strip()
-    badge = f"[新入 #{rank}]"
-    if board_badge:
-        badge = f"{badge} {board_badge}"
     return {
         "title": move.get("title", "?"),
         "source": move.get("source", "?"),
         "installs_fmt": move.get("installs_fmt") or str(installs),
         "link": move.get("link", ""),
         "description": (move.get("description") or "").strip(),
-        "badge": badge,
     }
 
 
+def _move_to_skill_row(move: dict[str, Any]) -> dict[str, Any]:
+    title = str(move.get("title") or "?")
+    source = str(move.get("source") or "?")
+    installs = int(move.get("installs") or 0)
+    sid = str(move.get("id") or f"{source}/{title}")
+    return {
+        "id": sid,
+        "title": title,
+        "source": source,
+        "installs": installs,
+        "link": move.get("link", ""),
+        "description": (move.get("description") or "").strip(),
+    }
+
+
+def _flatten_skill_board_item(item: dict[str, Any]) -> list[dict[str, Any]]:
+    if item.get("cluster"):
+        source = str(item.get("source") or "?")
+        installs = int(item.get("installs") or 0)
+        titles = [str(t) for t in (item.get("cluster_skills") or []) if t]
+        if not titles:
+            titles = [str(item.get("title") or "?")]
+        top_title = str(item.get("title") or titles[0])
+        rows: list[dict[str, Any]] = []
+        for title in titles:
+            link = item.get("link", "")
+            if title != top_title:
+                link = f"https://www.skills.sh/{source}/{title}"
+            rows.append(
+                {
+                    "id": f"{source}/{title}",
+                    "title": title,
+                    "source": source,
+                    "installs": installs,
+                    "link": link,
+                    "description": (item.get("description") or "").strip(),
+                }
+            )
+        return rows
+    title = str(item.get("title") or "?")
+    source = str(item.get("source") or "?")
+    return [
+        {
+            "id": str(item.get("id") or f"{source}/{title}"),
+            "title": title,
+            "source": source,
+            "installs": int(item.get("installs") or 0),
+            "link": item.get("link", ""),
+            "description": (item.get("description") or "").strip(),
+        }
+    ]
+
+
+def _skill_keys_in_board_item(item: dict[str, Any]) -> set[str]:
+    if item.get("cluster"):
+        source = str(item.get("source") or "?")
+        titles = item.get("cluster_skills") or [item.get("title", "")]
+        return {f"{source}/{t}" for t in titles if t}
+    return {_skill_group_key(item)}
+
+
+def _prepare_grouped_wecom_skills(
+    flat_rows: list[dict[str, Any]],
+    *,
+    limit: int,
+) -> tuple[list[dict[str, Any]], set[str]]:
+    if not flat_rows:
+        return [], set()
+    grouped = group_skills_by_source(flat_rows, limit=limit, pool_size=max(len(flat_rows), limit))
+    prepared = finalize_wecom_skill_groups(grouped)
+    wecom_items = [_grouped_skill_to_wecom_item(x) for x in prepared]
+    keys: set[str] = set()
+    for item in grouped:
+        keys.update(_skill_keys_in_board_item(item))
+    return wecom_items[:limit], keys
+
+
+def _merge_skill_board_items(
+    moves: list[dict[str, Any]],
+    full_items: list[dict[str, Any]],
+    limit: int,
+    *,
+    exclude_keys: set[str] | None = None,
+    recent_keys: set[str] | None = None,
+) -> tuple[list[dict[str, Any]], set[str]]:
+    from daily.delta import skill_id as move_skill_id
+
+    exclude = exclude_keys or set()
+    recent = recent_keys or set()
+    seen: set[str] = set()
+    flat: list[dict[str, Any]] = []
+    for move in moves:
+        key = move_skill_id(move)
+        if not key or key in seen or key in exclude:
+            continue
+        seen.add(key)
+        flat.append(_move_to_skill_row(move))
+    pad_pool = max(limit * 5, len(flat), 50)
+    for item in full_items:
+        if len(flat) >= pad_pool:
+            break
+        for row in _flatten_skill_board_item(item):
+            key = board_skill_id(row)
+            if not key or key in seen or key in exclude or key in recent:
+                continue
+            seen.add(key)
+            flat.append(row)
+    return _prepare_grouped_wecom_skills(flat, limit=limit)
+
+
 def build_skills_delta_sections(
     trending_moves: list[dict[str, Any]],
     hot_moves: list[dict[str, Any]],
+    *,
+    trending_full: list[dict[str, Any]] | None = None,
+    hot_full: list[dict[str, Any]] | None = None,
+    trending_limit: int = 10,
+    hot_limit: int = 10,
+    pad: bool = False,
+    recent_trending: set[str] | None = None,
+    recent_hot: set[str] | None = None,
 ) -> str:
     sections: list[str] = []
+    trending_keys: set[str] = set()
+    if pad:
+        t_items, trending_keys = _merge_skill_board_items(
+            trending_moves,
+            trending_full or [],
+            trending_limit,
+            recent_keys=recent_trending,
+        )
+        if t_items:
+            lines = [f"{ICONS['trending']} **Skills Trending Top {len(t_items)}**"]
+            for rank, item in enumerate(t_items, 1):
+                lines.extend(_skill_line(rank, item))
+            sections.append("\n".join(lines))
+        h_items, _ = _merge_skill_board_items(
+            hot_moves,
+            hot_full or [],
+            hot_limit,
+            exclude_keys=trending_keys,
+            recent_keys=recent_hot,
+        )
+        if h_items:
+            lines = [f"{ICONS['hot']} **Skills Hot Top {len(h_items)}**"]
+            for rank, item in enumerate(h_items, 1):
+                lines.extend(_skill_line(rank, item))
+            sections.append("\n".join(lines))
+        return "\n\n".join(sections)
+
     if trending_moves:
-        prepared = finalize_wecom_skill_groups([_move_to_wecom_skill_item(m) for m in trending_moves])
+        flat = [_move_to_skill_row(m) for m in trending_moves]
-        items = [_grouped_skill_to_wecom_item(x) for x in prepared]
+        items, _ = _prepare_grouped_wecom_skills(flat, limit=len(flat))
         lines = [f"{ICONS['trending']} **Skills Trending 变化**"]
         for rank, item in enumerate(items, 1):
-            lines.extend(_skill_line(rank, item, badge=item.get("badge", "")))
+            lines.extend(_skill_line(rank, item))
         sections.append("\n".join(lines))
     if hot_moves:
-        prepared = finalize_wecom_skill_groups([_move_to_wecom_skill_item(m) for m in hot_moves])
+        flat = [_move_to_skill_row(m) for m in hot_moves]
-        items = [_grouped_skill_to_wecom_item(x) for x in prepared]
+        items, _ = _prepare_grouped_wecom_skills(flat, limit=len(flat))
         lines = [f"{ICONS['hot']} **Skills Hot 变化**"]
         for rank, item in enumerate(items, 1):
-            lines.extend(_skill_line(rank, item, badge=item.get("badge", "")))
+            lines.extend(_skill_line(rank, item))
         sections.append("\n".join(lines))
     return "\n\n".join(sections)
 
@@ -243,12 +569,72 @@ def _github_move_to_repo(move: dict[str, Any]) -> dict[str, Any]:
         "created_at": move.get("created_at", ""),
         "description": move.get("description", ""),
         "desc_short": (move.get("description") or "").strip(),
-        "badge": f"[新入 #{move.get('rank', '?')}]",
     }
 
 
-def build_github_delta_sections(movement: dict[str, Any], *, topic_name: str) -> str:
+def _merge_github_board_items(
+    moves: list[dict[str, Any]],
+    full_repos: list[dict[str, Any]],
+    limit: int,
+    *,
+    recent_repos: set[str] | None = None,
+) -> list[dict[str, Any]]:
+    recent = recent_repos or set()
+    seen: set[str] = set()
+    merged: list[dict[str, Any]] = []
+    for move in moves:
+        repo = _github_move_to_repo(move)
+        key = str(repo.get("repo") or "")
+        if not key or key in seen:
+            continue
+        seen.add(key)
+        merged.append(repo)
+    for repo in full_repos:
+        if len(merged) >= limit:
+            break
+        key = str(repo.get("repo") or "")
+        if not key or key in seen or key in recent:
+            continue
+        seen.add(key)
+        merged.append(repo)
+    return finalize_wecom_github_repos(merged)[:limit]
+
+
+def build_github_delta_sections(
+    movement: dict[str, Any],
+    *,
+    topic_name: str,
+    github_trending: list[dict[str, Any]] | None = None,
+    github_emerging: list[dict[str, Any]] | None = None,
+    github_topic: list[dict[str, Any]] | None = None,
+    trending_limit: int = 10,
+    emerging_limit: int = 10,
+    topic_limit: int = 10,
+    pad: bool = False,
+    recent_board_keys: dict[str, set[str]] | None = None,
+) -> str:
     sections: list[str] = []
+    recent = recent_board_keys or {}
+    if pad:
+        mapping = [
+            ("github_trending_moves", "github_trending", github_trending or [], trending_limit, "github", "GitHub Trending", False),
+            ("github_emerging_moves", "github_emerging", github_emerging or [], emerging_limit, "emerging", "GitHub 新兴", True),
+            ("github_topic_moves", "github_topic", github_topic or [], topic_limit, "topic", f"Topic `{topic_name}`", False),
+        ]
+        for move_key, board_key, full_repos, limit, icon_key, label, show_created in mapping:
+            repos = _merge_github_board_items(
+                movement.get(move_key) or [],
+                full_repos,
+                limit,
+                recent_repos=recent.get(board_key),
+            )
+            if not repos:
+                continue
+            lines = [f"{ICONS[icon_key]} **{label} Top {len(repos)}**"]
+            lines.extend(_github_repo_lines(repos, show_created=show_created))
+            sections.append("\n".join(lines))
+        return "\n\n".join(sections)
+
     mapping = [
         ("github_trending_moves", "github", "GitHub Trending 变化", False),
         ("github_emerging_moves", "emerging", "GitHub 新兴 变化", True),
@@ -259,13 +645,8 @@ def build_github_delta_sections(movement: dict[str, Any], *, topic_name: str) ->
         if not moves:
             continue
         lines = [f"{ICONS[icon_key]} **{label}**"]
-        for i, move in enumerate(moves, 1):
+        repos = finalize_wecom_github_repos([_github_move_to_repo(m) for m in moves])
-            repo = _github_move_to_repo(move)
+        lines.extend(_github_repo_lines(repos, show_created=show_created))
-            badge = repo.pop("badge", "")
-            chunk = _github_repo_lines([repo], show_created=show_created)
-            if chunk:
-                chunk[0] = f"{i}. {badge} " + chunk[0].split(". ", 1)[-1]
-            lines.extend(chunk)
         sections.append("\n".join(lines))
     return "\n\n".join(sections)
 
@@ -287,6 +668,105 @@ def _strip_board_sections(md: str) -> str:
     return re.sub(r"\n{3,}", "\n\n", md).rstrip()
 
 
+def resolve_wecom_board_items(
+    *,
+    mode: str,
+    movement: dict[str, Any],
+    trending: list[dict[str, Any]],
+    hot: list[dict[str, Any]],
+    topic_name: str,
+    github_trending: list[dict[str, Any]] | None = None,
+    github_emerging: list[dict[str, Any]] | None = None,
+    github_topic: list[dict[str, Any]] | None = None,
+    wecom_trending: int = 10,
+    wecom_hot: int = 10,
+    wecom_github: int = 10,
+    wecom_emerging: int = 10,
+    wecom_topic: int = 10,
+    pad: bool = False,
+    date_str: str | None = None,
+    trending_pad: list[dict[str, Any]] | None = None,
+    hot_pad: list[dict[str, Any]] | None = None,
+    github_trending_pad: list[dict[str, Any]] | None = None,
+    github_emerging_pad: list[dict[str, Any]] | None = None,
+    github_topic_pad: list[dict[str, Any]] | None = None,
+) -> dict[str, list[dict[str, Any]]]:
+    """返回最终企微正文各榜 items（与 replace_wecom_board_sections 同源），供写回 shown。"""
+    from daily.delta import load_recent_board_keys, partition_skill_moves_for_wecom
+
+    if mode != "delta":
+        return {
+            "skills_trending": list(trending),
+            "skills_hot": list(hot),
+            "github_trending": list(github_trending or []),
+            "github_emerging": list(github_emerging or []),
+            "github_topic": list(github_topic or []),
+        }
+
+    recent_board_keys: dict[str, set[str]] = {}
+    if pad and date_str:
+        recent_board_keys = load_recent_board_keys(date_str)
+
+    t_moves, h_moves = partition_skill_moves_for_wecom(
+        movement.get("skills_trending_moves") or [],
+        movement.get("skills_hot_moves") or [],
+    )
+    if pad:
+        t_items, trending_keys = _merge_skill_board_items(
+            t_moves,
+            trending_pad if trending_pad else trending,
+            wecom_trending,
+            recent_keys=recent_board_keys.get("skills_trending"),
+        )
+        h_items, _ = _merge_skill_board_items(
+            h_moves,
+            hot_pad if hot_pad else hot,
+            wecom_hot,
+            exclude_keys=trending_keys,
+            recent_keys=recent_board_keys.get("skills_hot"),
+        )
+        return {
+            "skills_trending": t_items,
+            "skills_hot": h_items,
+            "github_trending": _merge_github_board_items(
+                movement.get("github_trending_moves") or [],
+                github_trending_pad if github_trending_pad else (github_trending or []),
+                wecom_github,
+                recent_repos=recent_board_keys.get("github_trending"),
+            ),
+            "github_emerging": _merge_github_board_items(
+                movement.get("github_emerging_moves") or [],
+                github_emerging_pad if github_emerging_pad else (github_emerging or []),
+                wecom_emerging,
+                recent_repos=recent_board_keys.get("github_emerging"),
+            ),
+            "github_topic": _merge_github_board_items(
+                movement.get("github_topic_moves") or [],
+                github_topic_pad if github_topic_pad else (github_topic or []),
+                wecom_topic,
+                recent_repos=recent_board_keys.get("github_topic"),
+            ),
+        }
+
+    t_flat = [_move_to_skill_row(m) for m in t_moves]
+    h_flat = [_move_to_skill_row(m) for m in h_moves]
+    t_items, _ = _prepare_grouped_wecom_skills(t_flat, limit=len(t_flat) or 1) if t_flat else ([], set())
+    h_items, _ = _prepare_grouped_wecom_skills(h_flat, limit=len(h_flat) or 1) if h_flat else ([], set())
+    return {
+        "skills_trending": t_items,
+        "skills_hot": h_items,
+        "github_trending": finalize_wecom_github_repos(
+            [_github_move_to_repo(m) for m in (movement.get("github_trending_moves") or [])]
+        ),
+        "github_emerging": finalize_wecom_github_repos(
+            [_github_move_to_repo(m) for m in (movement.get("github_emerging_moves") or [])]
+        ),
+        "github_topic": finalize_wecom_github_repos(
+            [_github_move_to_repo(m) for m in (movement.get("github_topic_moves") or [])]
+        ),
+    }
+
+
 def replace_wecom_board_sections(
     md: str,
     *,
@@ -295,16 +775,56 @@ def replace_wecom_board_sections(
     trending: list[dict[str, Any]],
     hot: list[dict[str, Any]],
     topic_name: str,
+    github_trending: list[dict[str, Any]] | None = None,
+    github_emerging: list[dict[str, Any]] | None = None,
+    github_topic: list[dict[str, Any]] | None = None,
+    wecom_trending: int = 10,
+    wecom_hot: int = 10,
+    wecom_github: int = 10,
+    wecom_emerging: int = 10,
+    wecom_topic: int = 10,
+    pad: bool = False,
+    date_str: str | None = None,
+    trending_pad: list[dict[str, Any]] | None = None,
+    hot_pad: list[dict[str, Any]] | None = None,
+    github_trending_pad: list[dict[str, Any]] | None = None,
+    github_emerging_pad: list[dict[str, Any]] | None = None,
+    github_topic_pad: list[dict[str, Any]] | None = None,
 ) -> str:
-    from daily.delta import partition_skill_moves_for_wecom
+    from daily.delta import load_recent_board_keys, partition_skill_moves_for_wecom
+
+    recent_board_keys: dict[str, set[str]] = {}
+    if pad and date_str:
+        recent_board_keys = load_recent_board_keys(date_str)
 
     if mode == "delta":
         t_moves, h_moves = partition_skill_moves_for_wecom(
             movement.get("skills_trending_moves") or [],
             movement.get("skills_hot_moves") or [],
         )
-        skills_sec = build_skills_delta_sections(t_moves, h_moves)
+        skills_sec = build_skills_delta_sections(
-        github_sec = build_github_delta_sections(movement, topic_name=topic_name)
+            t_moves,
+            h_moves,
+            trending_full=trending_pad if pad and trending_pad else trending,
+            hot_full=hot_pad if pad and hot_pad else hot,
+            trending_limit=wecom_trending,
+            hot_limit=wecom_hot,
+            pad=pad,
+            recent_trending=recent_board_keys.get("skills_trending"),
+            recent_hot=recent_board_keys.get("skills_hot"),
+        )
+        github_sec = build_github_delta_sections(
+            movement,
+            topic_name=topic_name,
+            github_trending=github_trending_pad if pad and github_trending_pad else github_trending,
+            github_emerging=github_emerging_pad if pad and github_emerging_pad else github_emerging,
+            github_topic=github_topic_pad if pad and github_topic_pad else github_topic,
+            trending_limit=wecom_github,
+            emerging_limit=wecom_emerging,
+            topic_limit=wecom_topic,
+            pad=pad,
+            recent_board_keys=recent_board_keys,
+        )
         board_block = "\n\n".join(x for x in [skills_sec, github_sec] if x)
         md = _strip_board_sections(md)
         if board_block:
@@ -331,6 +851,21 @@ def replace_wecom_skill_sections(
     mode: str = "full",
     movement: dict[str, Any] | None = None,
     topic_name: str = "llm",
+    github_trending: list[dict[str, Any]] | None = None,
+    github_emerging: list[dict[str, Any]] | None = None,
+    github_topic: list[dict[str, Any]] | None = None,
+    wecom_trending: int = 10,
+    wecom_hot: int = 10,
+    wecom_github: int = 10,
+    wecom_emerging: int = 10,
+    wecom_topic: int = 10,
+    pad: bool = False,
+    date_str: str | None = None,
+    trending_pad: list[dict[str, Any]] | None = None,
+    hot_pad: list[dict[str, Any]] | None = None,
+    github_trending_pad: list[dict[str, Any]] | None = None,
+    github_emerging_pad: list[dict[str, Any]] | None = None,
+    github_topic_pad: list[dict[str, Any]] | None = None,
 ) -> str:
     """用 Python 合并后的 Skills 榜替换或插入 Agent 早报中的对应区块。"""
     return replace_wecom_board_sections(
@@ -340,6 +875,21 @@ def replace_wecom_skill_sections(
         trending=trending,
         hot=hot,
         topic_name=topic_name,
+        github_trending=github_trending,
+        github_emerging=github_emerging,
+        github_topic=github_topic,
+        wecom_trending=wecom_trending,
+        wecom_hot=wecom_hot,
+        wecom_github=wecom_github,
+        wecom_emerging=wecom_emerging,
+        wecom_topic=wecom_topic,
+        pad=pad,
+        date_str=date_str,
+        trending_pad=trending_pad,
+        hot_pad=hot_pad,
+        github_trending_pad=github_trending_pad,
+        github_emerging_pad=github_emerging_pad,
+        github_topic_pad=github_topic_pad,
     )
 
 
@@ -378,6 +928,8 @@ def build_wecom_report(
     topic_repos: list[dict[str, Any]],
     ai_news: list[dict[str, Any]] | None = None,
     cn_ai_news: list[dict[str, Any]] | None = None,
+    merged_ai_news: list[dict[str, Any]] | None = None,
+    merged_tech_ai_news: list[dict[str, Any]] | None = None,
     pick_command: str,
     pick_why: str = "",
     pick_title: str = "",
@@ -396,15 +948,21 @@ def build_wecom_report(
     lines.append(f"{ICONS['theme']} {theme_line}")
     lines.append("")
 
-    if ai_news:
+    if merged_ai_news or merged_tech_ai_news:
-        lines.append(f"{ICONS['ainews']} **国际 AI 时讯 Top {len(ai_news)}**")
+        block = _build_merged_news_block(merged_ai_news or [], merged_tech_ai_news)
-        lines.extend(_ai_news_lines(ai_news))
+        if block:
-        lines.append("")
+            lines.append(block.rstrip())
+            lines.append("")
+    else:
+        if ai_news:
+            lines.append(f"{ICONS['ainews']} **国际 AI 时讯 Top {len(ai_news)}**")
+            lines.extend(_ai_news_lines(ai_news))
+            lines.append("")
 
-    if cn_ai_news:
+        if cn_ai_news:
-        lines.append(f"{ICONS['cnainews']} **国内 AI 时讯 Top {len(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.extend(_ai_news_lines(cn_ai_news))
-        lines.append("")
+            lines.append("")
 
     if include_boards:
         lines.append(f"{ICONS['trending']} **Skills Trending Top {len(trending)}**")
@@ -419,17 +977,17 @@ def build_wecom_report(
 
         if repos:
             lines.append(f"{ICONS['github']} **GitHub Trending Top {len(repos)}**")
-            lines.extend(_github_repo_lines(repos))
+            lines.extend(_github_repo_lines(finalize_wecom_github_repos(repos)))
             lines.append("")
 
         if emerging:
             lines.append(f"{ICONS['emerging']} **新兴项目 Top {len(emerging)}**")
-            lines.extend(_github_repo_lines(emerging, show_created=True))
+            lines.extend(_github_repo_lines(finalize_wecom_github_repos(emerging), show_created=True))
             lines.append("")
 
         if topic_repos:
             lines.append(f"{ICONS['topic']} **Topic `{topic_name}` Top {len(topic_repos)}**")
-            lines.extend(_github_repo_lines(topic_repos))
+            lines.extend(_github_repo_lines(finalize_wecom_github_repos(topic_repos)))
             lines.append("")
 
     lines.append(f"{ICONS['pick']} **今日首推**")

daily/generate.py

@@ -22,17 +22,30 @@ from daily.config import (
     LOG_DIR,
     OUTPUT_DIR,
     SNAPSHOT_FILE,
+    board_pool_size,
     env,
     env_int,
     full_desc_limit,
     news_summary_limit,
+    wecom_delta_pad,
+    wecom_news_desc_limit,
+    wecom_pad_pool_size,
     wecom_skill_desc_limit,
 )
+from daily.board_history import (
+    BOARD_KEYS,
+    extract_shown_keys,
+    load_recent_shown_keys,
+    merge_wecom_shown_into_data,
+)
+from daily.board_select import board_select
 from daily.format_wecom import (
     build_wecom_report,
     finalize_wecom_skill_groups,
     replace_wecom_board_sections,
+    replace_wecom_news_sections,
     replace_wecom_skill_sections,
+    resolve_wecom_board_items,
 )
 from daily.agent_workflow import is_agent_mode, run_agent_workflow
 from daily.featured_pick import (
@@ -56,10 +69,17 @@ from daily.news.fetch import (
     fetch_cn_ai_news,
     format_cn_news_section,
     format_news_section,
+    finalize_wecom_news_items,
     prepare_wecom_cn_news_items,
     prepare_wecom_news_items,
+    sync_wecom_news_rows,
 )
 from daily.news.pushed_links import record_pushed_links
+from daily.news.research import (
+    fetch_ai_news_research,
+    format_research_news_section,
+    is_research_mode,
+)
 from daily.push_gate import evaluate_push_gate
 from daily.report_data import (
     build_full_payload,
@@ -68,7 +88,6 @@ from daily.report_data import (
     save_json,
 )
 from daily.skills_board import format_installs, load_boards, load_feed
-from daily.skills_group import group_skills_by_source
 
 THEME_RULES: list[tuple[str, str, list[str]]] = [
     ("🎬", "AI 多媒体 / 视频", ["runcomfy", "remotion", "video", "seedance", "inpaint", "lipsync"]),
@@ -140,7 +159,30 @@ def _localize_descriptions_in_place(
             seen_news.add(link)
             summary = (item.get("summary") or "").strip()
             if summary:
-                jobs.append(LocalizeJob(f"news:{link}", summary, news_limit))
+                jobs.append(
+                    LocalizeJob(
+                        f"news:{link}",
+                        summary,
+                        news_limit if news_limit > 0 else wecom_news_desc_limit(),
+                    )
+                )
+
+    if cn_ai_news and cn_ai_news.get("enabled"):
+        seen_cn: set[str] = set()
+        for item in cn_ai_news.get("flat") or []:
+            link = item.get("link", "")
+            if not link or link in seen_cn:
+                continue
+            seen_cn.add(link)
+            summary = (item.get("summary") or "").strip()
+            if summary and needs_chinese(summary):
+                jobs.append(
+                    LocalizeJob(
+                        f"news:{link}",
+                        summary,
+                        news_limit if news_limit > 0 else wecom_news_desc_limit(),
+                    )
+                )
 
     zh_map = localize_descriptions(jobs, archive=True)
     if not zh_map and not jobs:
@@ -166,6 +208,11 @@ def _localize_descriptions_in_place(
                 key = f"news:{item.get('link', '')}"
                 if key in mapping:
                     item["summary"] = mapping[key]
+        if cn_ai_news and cn_ai_news.get("enabled"):
+            for item in cn_ai_news.get("flat") or []:
+                key = f"news:{item.get('link', '')}"
+                if key in mapping:
+                    item["summary"] = mapping[key]
 
     _apply_zh(zh_map)
 
@@ -199,7 +246,29 @@ def _localize_descriptions_in_place(
             seen_news.add(link)
             summary = (item.get("summary") or "").strip()
             if needs_chinese(summary):
-                retry_jobs.append(LocalizeJob(f"news:{link}", summary, news_limit))
+                retry_jobs.append(
+                    LocalizeJob(
+                        f"news:{link}",
+                        summary,
+                        news_limit if news_limit > 0 else wecom_news_desc_limit(),
+                    )
+                )
+    if cn_ai_news and cn_ai_news.get("enabled"):
+        seen_cn: set[str] = set()
+        for item in cn_ai_news.get("flat") or []:
+            link = item.get("link", "")
+            if not link or link in seen_cn:
+                continue
+            seen_cn.add(link)
+            summary = (item.get("summary") or "").strip()
+            if needs_chinese(summary):
+                retry_jobs.append(
+                    LocalizeJob(
+                        f"news:{link}",
+                        summary,
+                        news_limit if news_limit > 0 else wecom_news_desc_limit(),
+                    )
+                )
 
     if retry_jobs:
         _apply_zh(localize_descriptions(retry_jobs, archive=True))
@@ -334,6 +403,27 @@ def _prepare_github_item(item: dict[str, Any]) -> dict[str, Any]:
     return {**item, "desc_short": _wecom_desc(item.get("description", ""), 40)}
 
 
+def _sync_movement_github_descriptions(
+    movement: dict[str, Any],
+    *,
+    github_trending: list[dict[str, Any]],
+    github_emerging: list[dict[str, Any]],
+    github_topic: list[dict[str, Any]],
+) -> None:
+    """将已中文化的 GitHub 描述同步到 movement 新入榜条目（供 Delta 企微列表使用）。"""
+    by_repo: dict[str, str] = {}
+    for item in github_trending + github_emerging + github_topic:
+        repo = str(item.get("repo") or "")
+        desc = (item.get("description") or "").strip()
+        if repo and desc:
+            by_repo[repo] = desc
+    for key in ("github_trending_moves", "github_emerging_moves", "github_topic_moves"):
+        for move in movement.get(key) or []:
+            repo = str(move.get("repo") or "")
+            if repo in by_repo:
+                move["description"] = by_repo[repo]
+
+
 def _fetch_latest_release_title(repo: str) -> str | None:
     atom_url = f"https://github.com/{repo}/releases.atom"
     try:
@@ -425,15 +515,17 @@ def generate_report() -> tuple[str, str, Path, Path]:
     skill_pool = max(10, env_int("DAILY_WECOM_SKILL_POOL", 200))
     wecom_trending = env_int("DAILY_WECOM_TRENDING", 10)
     wecom_hot = env_int("DAILY_WECOM_HOT", 10)
+    pad_pool = wecom_pad_pool_size(max(wecom_trending, wecom_hot, 10))
+    skill_pool = max(skill_pool, pad_pool)
     github_limit = env_int("DAILY_GITHUB_TRENDING_LIMIT", 10)
     wecom_github = env_int("DAILY_WECOM_GITHUB_TRENDING", env_int("DAILY_WECOM_REPOS", 10))
-    github_fetch_n = max(github_limit, compare_n, wecom_github)
+    github_fetch_n = max(github_limit, compare_n, wecom_github, pad_pool)
     emerging_limit = env_int("DAILY_GITHUB_EMERGING_LIMIT", 10)
     wecom_emerging = env_int("DAILY_WECOM_GITHUB_EMERGING", 10)
-    emerging_fetch_n = max(emerging_limit, compare_n, wecom_emerging)
+    emerging_fetch_n = max(emerging_limit, compare_n, wecom_emerging, pad_pool)
     topic_limit = env_int("DAILY_GITHUB_TOPIC_LIMIT", 10)
     wecom_topic = env_int("DAILY_WECOM_GITHUB_TOPIC", 10)
-    topic_fetch_n = max(topic_limit, compare_n, wecom_topic)
+    topic_fetch_n = max(topic_limit, compare_n, wecom_topic, pad_pool)
 
     feed = load_feed(force=True)
     prev_ids = _load_snapshot()
@@ -448,8 +540,27 @@ def generate_report() -> tuple[str, str, Path, Path]:
     github_emerging = fetch_emerging_repos(emerging_fetch_n, exclude=seen_repos)
     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()
+    news_merged = is_research_mode()
+    ai_news_research: dict[str, Any] | None = None
+    wecom_news: list[dict[str, Any]] = []
+    wecom_tech_news: list[dict[str, Any]] = []
+    if news_merged:
+        ai_news_research = fetch_ai_news_research(date_str=date_str)
+        wecom_news = list(ai_news_research.get("items") or [])
+        wecom_tech_news = list(ai_news_research.get("tech_items") or [])
+        ai_news = {
+            "enabled": ai_news_research.get("enabled", False),
+            "mode": "research",
+            "hours": ai_news_research.get("hours", 24),
+            "flat": ai_news_research.get("flat") or [],
+            "categories": [],
+            "stats": ai_news_research.get("stats") or {},
+        }
+        cn_ai_news = {"enabled": False, "categories": [], "flat": [], "stats": {}}
+    else:
+        ai_news = fetch_ai_news()
+        cn_ai_news = fetch_cn_ai_news()
 
     wecom_limits = {
         "trending": wecom_trending,
@@ -460,7 +571,56 @@ 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),
+        "cn_ai_news": env_int("DAILY_WECOM_CN_AI_NEWS", 10),
+    }
+    pool = max(board_pool_size(), skill_pool, pad_pool)
+    recent_shown = load_recent_shown_keys(date_str)
+    selected_trending = board_select(
+        board="skills_trending",
+        items=trending,
+        recent_keys=recent_shown["skills_trending"],
+        limit=wecom_trending,
+        pool_size=pool,
+        kind="skill",
+    )
+    selected_hot = board_select(
+        board="skills_hot",
+        items=hot,
+        recent_keys=recent_shown["skills_hot"],
+        limit=wecom_hot,
+        pool_size=pool,
+        kind="skill",
+    )
+    selected_github = board_select(
+        board="github_trending",
+        items=github_trending,
+        recent_keys=recent_shown["github_trending"],
+        limit=wecom_github,
+        pool_size=pool,
+        kind="github",
+    )
+    selected_emerging = board_select(
+        board="github_emerging",
+        items=github_emerging,
+        recent_keys=recent_shown["github_emerging"],
+        limit=wecom_emerging,
+        pool_size=pool,
+        kind="github",
+    )
+    selected_topic = board_select(
+        board="github_topic",
+        items=github_topic,
+        recent_keys=recent_shown["github_topic"],
+        limit=wecom_topic,
+        pool_size=pool,
+        kind="github",
+    )
+    boards_for_wecom = {
+        "skills_trending": selected_trending,
+        "skills_hot": selected_hot,
+        "github_trending": selected_github,
+        "github_emerging": selected_emerging,
+        "github_topic": selected_topic,
     }
     llm_input = build_llm_input(
         date_str=date_str,
@@ -474,15 +634,22 @@ def generate_report() -> tuple[str, str, Path, Path]:
         ai_news=ai_news,
         cn_ai_news=cn_ai_news,
         wecom_limits=wecom_limits,
+        research_items=wecom_news if news_merged else None,
+        research_tech_items=wecom_tech_news if news_merged else None,
+        boards_for_wecom=boards_for_wecom,
     )
     featured = apply_featured_pick(llm_input, date_str=date_str)
     movement = llm_input["movement"]
     eff_mode = llm_input["effective_wecom_mode"]
-    wecom_ai = prepare_wecom_news_items(ai_news, date_str=date_str)
+    if news_merged:
-    wecom_cn = prepare_wecom_cn_news_items(cn_ai_news, date_str=date_str)
+        wecom_ai: list[dict[str, Any]] = []
+        wecom_cn: list[dict[str, Any]] = []
+    else:
+        wecom_ai = prepare_wecom_news_items(ai_news, date_str=date_str)
+        wecom_cn = prepare_wecom_cn_news_items(cn_ai_news, date_str=date_str)
     push_gate = evaluate_push_gate(
         movement=movement,
-        ai_news_items=wecom_ai,
+        ai_news_items=wecom_news if news_merged else wecom_ai,
         cn_ai_news_items=wecom_cn,
         featured_pick=featured,
     )
@@ -526,6 +693,17 @@ def generate_report() -> tuple[str, str, Path, Path]:
     _localize_descriptions_in_place(
         trending, hot, github_trending, github_emerging, github_topic, ai_news, cn_ai_news
     )
+    if not news_merged:
+        sync_wecom_news_rows(wecom_ai, ai_news.get("flat") or [])
+        sync_wecom_news_rows(wecom_cn, cn_ai_news.get("flat") or [])
+        finalize_wecom_news_items(wecom_ai, force_chinese=True)
+        finalize_wecom_news_items(wecom_cn, force_chinese=False)
+    _sync_movement_github_descriptions(
+        movement,
+        github_trending=github_trending,
+        github_emerging=github_emerging,
+        github_topic=github_topic,
+    )
 
     themes = _theme_clusters(feed)
 
@@ -534,7 +712,8 @@ 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/国内 AI RSS",
+        "> 数据来源：[skills.sh/trending](https://skills.sh/trending) · [skills.sh/hot](https://skills.sh/hot)"
+        + (" · AI 时讯 Deep Research" if news_merged else " · 国际/国内 AI RSS"),
         "",
         "---",
         "",
@@ -576,10 +755,14 @@ def generate_report() -> tuple[str, str, Path, Path]:
         lines.append("")
 
     section_no = 6
-    lines.extend(format_news_section(ai_news, section_no=section_no))
+    if news_merged and ai_news_research is not None:
-    section_no += 1
+        lines.extend(format_research_news_section(ai_news_research, section_no=section_no))
-    lines.extend(format_cn_news_section(cn_ai_news, section_no=section_no))
+        section_no += 1
-    section_no += 1
+    else:
+        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:
@@ -616,17 +799,85 @@ def generate_report() -> tuple[str, str, Path, Path]:
     lines.extend(["```", "", f"*企微短版见 `output/{date_str}.wecom.md`*"])
 
     markdown = "\n".join(lines)
-    gt = group_skills_by_source(trending, limit=wecom_trending, pool_size=skill_pool)
+    gt = selected_trending
-    gh = group_skills_by_source(hot, limit=wecom_hot, pool_size=skill_pool)
+    gh = selected_hot
-    if agent_wecom:
+    gt_pad = board_select(
-        wecom_md = replace_wecom_skill_sections(
+        board="skills_trending",
-            agent_wecom,
+        items=trending,
-            trending=gt,
+        recent_keys=recent_shown["skills_trending"],
-            hot=gh,
+        limit=pad_pool,
-            mode=eff_mode,
+        pool_size=pool,
-            movement=movement,
+        kind="skill",
-            topic_name=topic_name,
+    )
+    gh_pad = board_select(
+        board="skills_hot",
+        items=hot,
+        recent_keys=recent_shown["skills_hot"],
+        limit=pad_pool,
+        pool_size=pool,
+        kind="skill",
+    )
+    wecom_github_items = [_prepare_github_item(item) for item in selected_github]
+    wecom_emerging_items = [_prepare_github_item(item) for item in selected_emerging]
+    wecom_topic_items = [_prepare_github_item(item) for item in selected_topic]
+    wecom_github_pad = [
+        _prepare_github_item(item)
+        for item in board_select(
+            board="github_trending",
+            items=github_trending,
+            recent_keys=recent_shown["github_trending"],
+            limit=pad_pool,
+            pool_size=pool,
+            kind="github",
         )
+    ]
+    wecom_emerging_pad = [
+        _prepare_github_item(item)
+        for item in board_select(
+            board="github_emerging",
+            items=github_emerging,
+            recent_keys=recent_shown["github_emerging"],
+            limit=pad_pool,
+            pool_size=pool,
+            kind="github",
+        )
+    ]
+    wecom_topic_pad = [
+        _prepare_github_item(item)
+        for item in board_select(
+            board="github_topic",
+            items=github_topic,
+            recent_keys=recent_shown["github_topic"],
+            limit=pad_pool,
+            pool_size=pool,
+            kind="github",
+        )
+    ]
+    delta_pad = eff_mode == "delta" and wecom_delta_pad()
+    board_kwargs = {
+        "mode": eff_mode,
+        "movement": movement,
+        "trending": gt,
+        "hot": gh,
+        "topic_name": topic_name,
+        "github_trending": wecom_github_items,
+        "github_emerging": wecom_emerging_items,
+        "github_topic": wecom_topic_items,
+        "wecom_trending": wecom_trending,
+        "wecom_hot": wecom_hot,
+        "wecom_github": wecom_github,
+        "wecom_emerging": wecom_emerging,
+        "wecom_topic": wecom_topic,
+        "pad": delta_pad,
+        "date_str": date_str,
+        "trending_pad": gt_pad,
+        "hot_pad": gh_pad,
+        "github_trending_pad": wecom_github_pad,
+        "github_emerging_pad": wecom_emerging_pad,
+        "github_topic_pad": wecom_topic_pad,
+    }
+    if agent_wecom:
+        wecom_md = replace_wecom_skill_sections(agent_wecom, **board_kwargs)
     else:
         wecom_md = build_wecom_report(
             date_str=date_str,
@@ -635,8 +886,10 @@ def generate_report() -> tuple[str, str, Path, Path]:
             highlights=editorial_highlights
             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=wecom_ai,
+            ai_news=wecom_ai if not news_merged else None,
-            cn_ai_news=wecom_cn,
+            cn_ai_news=wecom_cn if not news_merged else None,
+            merged_ai_news=wecom_news if news_merged else None,
+            merged_tech_ai_news=wecom_tech_news if news_merged else None,
             trending=[
                 _prepare_skill_item(item, prev_ids, r)
                 for r, item in enumerate(finalize_wecom_skill_groups(gt), 1)
@@ -645,29 +898,40 @@ def generate_report() -> tuple[str, str, Path, Path]:
                 _prepare_skill_item(item, prev_ids, r)
                 for r, item in enumerate(finalize_wecom_skill_groups(gh), 1)
             ],
-            repos=[_prepare_github_item(item) for item in github_trending[:wecom_github]],
+            repos=wecom_github_items,
-            emerging=[_prepare_github_item(item) for item in github_emerging[:wecom_emerging]],
+            emerging=wecom_emerging_items,
             topic_name=topic_name,
-            topic_repos=[_prepare_github_item(item) for item in github_topic[:wecom_topic]],
+            topic_repos=wecom_topic_items,
             pick_command=pick_command,
             pick_why=pick_why,
             pick_title=pick_title,
             pick_url=pick_url,
             include_boards=(eff_mode == "full"),
         )
-        wecom_md = replace_wecom_board_sections(
+        wecom_md = replace_wecom_board_sections(wecom_md, **board_kwargs)
-            wecom_md,
+
-            mode=eff_mode,
+    wecom_md = replace_wecom_news_sections(
-            movement=movement,
+        wecom_md,
-            trending=gt,
+        ai_news=wecom_news if news_merged else wecom_ai,
-            hot=gh,
+        cn_ai_news=None if news_merged else wecom_cn,
-            topic_name=topic_name,
+        tech_ai_news=wecom_tech_news if news_merged else None,
-        )
+        merged=news_merged,
+    )
 
     if push_gate.should_push:
-        links = [x["link"] for x in wecom_ai + wecom_cn if x.get("link")]
+        if news_merged:
+            links = [x["link"] for x in wecom_news + wecom_tech_news if x.get("link")]
+        else:
+            links = [x["link"] for x in wecom_ai + wecom_cn if x.get("link")]
         record_pushed_links(date_str, links)
 
+    final_boards = resolve_wecom_board_items(**board_kwargs)
+    shown_keys = {
+        board: extract_shown_keys(board, final_boards.get(board) or [])
+        for board in BOARD_KEYS
+    }
+    llm_input = merge_wecom_shown_into_data(llm_input, shown_keys)
+
     save_json(
         data_json_path(date_str),
         build_full_payload(
@@ -675,6 +939,7 @@ def generate_report() -> tuple[str, str, Path, Path]:
             meta={
                 "generated_at": now.isoformat(),
                 "report_mode": "agent" if is_agent_mode() else "classic",
+                "ai_news_mode": "research" if news_merged else "rss",
                 "cursor_editor": cursor_editor_enabled() and not is_agent_mode(),
                 "featured_pick": featured.get("title") if featured else None,
                 "effective_wecom_mode": eff_mode,

daily/report_data.py

@@ -10,6 +10,7 @@ from daily.config import OUTPUT_DIR, env_int, wecom_mode
 from daily.delta import build_movement_baseline, build_movement_context, compare_depth, effective_wecom_mode
 from daily.news.fetch import prepare_wecom_cn_news_items, prepare_wecom_news_items
 from daily.skills_group import group_skills_by_source
+from daily.text_utils import trim_brief
 
 
 def skill_id(item: dict[str, Any]) -> str:
@@ -69,7 +70,10 @@ def _slim_news_items(
                 "title": item.get("title", ""),
                 "source_name": item.get("source_name", ""),
                 "published_fmt": item.get("published_fmt", ""),
-                "summary": item.get("desc_short") or "",
+                "summary": trim_brief(
+                    item.get("summary_plain") or item.get("desc_short") or "",
+                    120,
+                ),
             }
         )
         if len(items) >= limit:
@@ -106,10 +110,46 @@ def build_llm_input(
     ai_news: dict[str, Any],
     cn_ai_news: dict[str, Any],
     wecom_limits: dict[str, int],
+    research_items: list[dict[str, Any]] | None = None,
+    research_tech_items: list[dict[str, Any]] | None = None,
+    boards_for_wecom: dict[str, list[dict[str, Any]]] | None = None,
 ) -> 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)
+    if research_items is not None:
+        slim_research = [
+            {
+                "link": item.get("link", ""),
+                "title": item.get("title", ""),
+                "source_name": item.get("source_name", ""),
+                "published_fmt": item.get("published_fmt", ""),
+                "summary": trim_brief(item.get("desc_short") or "", 120),
+            }
+            for item in research_items[:news_limit]
+        ]
+        ai_news_payload = slim_research
+        tech_news_payload = [
+            {
+                "link": item.get("link", ""),
+                "title": item.get("title", ""),
+                "source_name": item.get("source_name", ""),
+                "published_fmt": item.get("published_fmt", ""),
+                "summary": trim_brief(item.get("desc_short") or "", 120),
+            }
+            for item in (research_tech_items or [])
+        ]
+        cn_news_payload: list[dict[str, Any]] = []
+        ai_news_mode = "research"
+    else:
+        ai_news_payload = _slim_news_items(ai_news, news_limit, date_str=date_str) if ai_news.get("enabled") else []
+        cn_news_payload = (
+            _slim_news_items(cn_ai_news, cn_news_limit, prepare=prepare_wecom_cn_news_items, date_str=date_str)
+            if cn_ai_news.get("enabled")
+            else []
+        )
+        ai_news_mode = "rss"
+        tech_news_payload: list[dict[str, Any]] = []
     depth = compare_depth()
     trend_cmp = trending[:depth]
     hot_cmp = hot[:depth]
@@ -117,19 +157,26 @@ def build_llm_input(
     emerging_cmp = github_emerging[:depth]
     topic_cmp = github_topic[:depth]
 
-    trending_slice = group_skills_by_source(
+    if boards_for_wecom:
-        trending,
+        trending_slice = boards_for_wecom.get("skills_trending") or []
-        limit=wecom_limits.get("trending", 10),
+        hot_slice = boards_for_wecom.get("skills_hot") or []
-        pool_size=wecom_limits.get("trending_pool", _wecom_skill_pool()),
+        github_slice = boards_for_wecom.get("github_trending") or []
-    )
+        emerging_slice = boards_for_wecom.get("github_emerging") or []
-    hot_slice = group_skills_by_source(
+        topic_slice = boards_for_wecom.get("github_topic") or []
-        hot,
+    else:
-        limit=wecom_limits.get("hot", 10),
+        trending_slice = group_skills_by_source(
-        pool_size=wecom_limits.get("hot_pool", _wecom_skill_pool()),
+            trending,
-    )
+            limit=wecom_limits.get("trending", 10),
-    github_slice = github_trending[: wecom_limits.get("github", 5)]
+            pool_size=wecom_limits.get("trending_pool", _wecom_skill_pool()),
-    emerging_slice = github_emerging[: wecom_limits.get("emerging", 3)]
+        )
-    topic_slice = github_topic[: wecom_limits.get("topic", 3)]
+        hot_slice = group_skills_by_source(
+            hot,
+            limit=wecom_limits.get("hot", 10),
+            pool_size=wecom_limits.get("hot_pool", _wecom_skill_pool()),
+        )
+        github_slice = github_trending[: wecom_limits.get("github", 5)]
+        emerging_slice = github_emerging[: wecom_limits.get("emerging", 3)]
+        topic_slice = github_topic[: wecom_limits.get("topic", 3)]
 
     movement = build_movement_context(
         date_str=date_str,
@@ -163,12 +210,10 @@ def build_llm_input(
             "topic": topic_name,
             "repos": [_slim_github(x) for x in topic_slice],
         },
-        "ai_news": _slim_news_items(ai_news, news_limit, date_str=date_str) if ai_news.get("enabled") else [],
+        "ai_news": ai_news_payload,
-        "cn_ai_news": _slim_news_items(
+        "tech_ai_news": tech_news_payload,
-            cn_ai_news, cn_news_limit, prepare=prepare_wecom_cn_news_items, date_str=date_str
+        "cn_ai_news": cn_news_payload,
-        )
+        "ai_news_mode": ai_news_mode,
-        if cn_ai_news.get("enabled")
-        else [],
         "movement": movement,
         "movement_baseline": movement_baseline,
     }

tests/test_board_history.py

@@ -60,6 +60,33 @@ class ShownKeysTests(unittest.TestCase):
         )
         self.assertEqual(merged["wecom_shown_keys"]["github_trending"], ["shown/one"])
 
+    def test_persist_shown_keys_differs_from_baseline_keys(self):
+        from daily.board_select import board_select
+
+        raw = [{"repo": f"o/r{i}"} for i in range(10)]
+        recent = {f"o/r{i}" for i in range(3)}
+        selected = board_select(
+            board="github_trending",
+            items=raw,
+            recent_keys=recent,
+            limit=5,
+            pool_size=50,
+            kind="github",
+        )
+        baseline_keys = [x["repo"] for x in raw[:5]]
+        shown = extract_shown_keys("github_trending", selected)
+        data = {
+            "movement_baseline": {
+                "github_trending": [{"repo": k} for k in baseline_keys],
+            },
+        }
+        merged = merge_wecom_shown_into_data(data, {"github_trending": shown})
+        self.assertNotEqual(
+            set(merged["wecom_shown_keys"]["github_trending"]),
+            {x["repo"] for x in merged["movement_baseline"]["github_trending"]},
+        )
+        self.assertEqual(shown, ["o/r3", "o/r4", "o/r5", "o/r6", "o/r7"])
+
 
 if __name__ == "__main__":
     unittest.main()