feat(feed): 按分类批量已读 + 标已读后弹出分类提示条

后端:
- POST /me/reads/by-category:按 category + time window 批量标已读
- GET /me/reads/category-count:查多个分类的 24h 未读数

前端:
- 标已读后,查该文章前 2 个 category 的 24h 未读数
- 每个有未读的 category 显示一行提示(独立全部已读/稍后再说按钮)
- 全部已读走乐观更新,命中的 article 走累计 delay 滑出
- 过滤变化时清掉提示(上下文变了)
- 8 秒自动消失

backend/app/api/me.py

@@ -1,11 +1,13 @@
-"""/me 当前用户信息 + 翻译配额 + 已读文章。"""
+"""/me 当前用户信息 + 翻译配额 + 已读文章 + 按分类批量已读。"""
 from __future__ import annotations
 
 from datetime import datetime, timedelta, timezone
+from typing import Literal
 
-from fastapi import APIRouter, Depends, HTTPException, status
-from pydantic import BaseModel
-from sqlalchemy import and_, delete, select
+from fastapi import APIRouter, Depends, HTTPException, Query, status
+from pydantic import BaseModel, Field
+from sqlalchemy import and_, delete, func, not_, or_, select, text
+from sqlalchemy.dialects.postgresql import insert as pg_insert
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from app.config import settings
@@ -13,6 +15,7 @@ from app.core.deps import get_current_user
 from app.database import get_session
 from app.models.article import Article
 from app.models.article_read import ArticleRead
+from app.models.source import Source
 from app.models.user import User
 from app.redis_client import get_redis
 
@@ -95,7 +98,6 @@ async def mark_read(
     if not exists:
         raise HTTPException(status.HTTP_404_NOT_FOUND, "Article not found")
     # 用 INSERT ... ON CONFLICT DO NOTHING (PG 原生)— 等价 upsert 跳过
-    from sqlalchemy.dialects.postgresql import insert as pg_insert
     stmt = pg_insert(ArticleRead).values(user_id=user.id, article_id=article_id).on_conflict_do_nothing(
         index_elements=["user_id", "article_id"]
     )
@@ -142,3 +144,208 @@ async def list_reads(
     rows = (await session.execute(stmt)).all()
     ids = [r[0] for r in rows]
     return ReadListResponse(article_ids=ids, total=len(ids))
+
+
+# === 按分类批量已读(per-user) ===
+# 用例:用户在 Feed 标了一条《xxx》为已读,该文章 category 含 "美国" "社会" 两个 tag,
+# 前端会同时查这两个分类下"24 小时未读数"展示提示条,点头部的"全部已读"调本接口。
+# 设计要点:
+# - category 用 ilike 模糊匹配(Article.category 是逗号分隔字符串 '美国,社会,紧急')
+# - 默认遵守当前 Feed 过滤(关键词/源)— scope=filtered_unread,避免误杀
+# - 时间窗默认 24h(防"老新闻刷不完"的提示)
+# - 批量插入用 ON CONFLICT DO NOTHING,幂等
+# - 返回 article_ids 给前端做乐观滑出动画
+
+
+def _unread_subquery(user_id: int):
+    """未读文章 id 子查询(per-user)— 复用 articles.py 的 NOT EXISTS 模式。"""
+    return (
+        select(ArticleRead.article_id)
+        .where(ArticleRead.user_id == user_id, ArticleRead.article_id == Article.id)
+        .exists()
+    )
+
+
+def _escape_like(term: str) -> str:
+    """转义 ilike 的元字符,避免 category 含 % / _ 时被当通配符。"""
+    return term.replace("\\", "\\\\").replace("%", r"\%").replace("_", r"\_")
+
+
+class CategoryReadRequest(BaseModel):
+    category: str = Field(..., min_length=1, max_length=32, description="要批量已读的分类 tag")
+    scope: Literal["all_unread", "filtered_unread"] = Field(
+        default="filtered_unread",
+        description="过滤范围:filtered_unread=遵守 sources/q;all_unread=忽略",
+    )
+    window_hours: int = Field(
+        default=24, ge=1, le=168, description="只标 published_at 在最近 N 小时内的未读"
+    )
+    sources: list[str] | None = Field(default=None, description="源 slug 列表,过滤范围")
+    q: str | None = Field(default=None, description="关键词过滤(标题/正文模糊)")
+
+
+class CategoryReadResponse(BaseModel):
+    category: str
+    matched: int          # 命中的未读数
+    marked: int           # 实际新标已读数(去重后)
+    article_ids: list[int]  # 给前端做滑出动画
+
+
+class CategoryCountItem(BaseModel):
+    category: str
+    unread_count: int
+    window_hours: int
+
+
+def _build_category_filter(
+    category: str,
+    window_hours: int,
+    user_id: int,
+    sources: list[str] | None = None,
+    q: str | None = None,
+):
+    """构造"分类 + 时间窗 + 未读"三合一 filter。
+
+    - category 用 ilike 模糊匹配(逗号分隔串中含此 tag 即可)
+    - window_hours 通过 published_at 过滤
+    - 用 NOT EXISTS 排除当前用户已读
+    - sources / q 可选,跟 articles.py 列表查询口径一致
+    """
+    pattern = f"%{_escape_like(category)}%"
+    # 用 text() 拼 interval,避免 make_interval 的 PG 函数参数绑定在某些
+    # SQLAlchemy 版本下的兼容性问题。window_hours 是 int,只来自我们自己的
+    # endpoint,不是用户原始字符串,安全。
+    interval_sql = text(f"interval '{int(window_hours)} hours'")
+    filters = [
+        Article.category.ilike(pattern, escape="\\"),
+        Article.published_at >= func.now() - interval_sql,
+        not_(_unread_subquery(user_id)),
+    ]
+    if sources:
+        slugs = [s.strip() for s in sources if s.strip()]
+        if slugs:
+            filters.append(Source.slug.in_(slugs))
+    if q and q.strip():
+        like = f"%{q.strip()}%"
+        filters.append(
+            or_(
+                Article.title.ilike(like),
+                Article.body_text.ilike(like),
+                Article.title_zh.ilike(like),
+                Article.body_zh_text.ilike(like),
+                Article.summary_zh.ilike(like),
+            )
+        )
+    return filters
+
+
+@router.post("/reads/by-category", response_model=CategoryReadResponse)
+async def mark_category_read(
+    body: CategoryReadRequest,
+    user: User = Depends(get_current_user),
+    session: AsyncSession = Depends(get_session),
+):
+    """按分类批量已读。
+
+    - 默认 scope=filtered_unread:只在当前 Feed 过滤范围内标
+    - 时间窗默认 24h:防"老新闻刷不完"
+    - 幂等:已读的不重复处理
+    """
+    cat = body.category.strip()
+    if not cat:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "category 不能为空")
+
+    # scope=all_unread 时,无视 sources/q(传了也忽略,语义更清晰)
+    if body.scope == "all_unread":
+        eff_sources: list[str] | None = None
+        eff_q: str | None = None
+    else:
+        eff_sources = body.sources
+        eff_q = body.q
+
+    filters = _build_category_filter(
+        category=cat,
+        window_hours=body.window_hours,
+        user_id=user.id,
+        sources=eff_sources,
+        q=eff_q,
+    )
+
+    # 1. 查命中 id 列表(返回给前端)
+    id_stmt = select(Article.id)
+    # sources 过滤需要 join
+    if eff_sources:
+        id_stmt = id_stmt.join(Source, Source.id == Article.source_id)
+    for f in filters:
+        id_stmt = id_stmt.where(f)
+    article_ids = [r[0] for r in (await session.execute(id_stmt)).all()]
+
+    if not article_ids:
+        return CategoryReadResponse(category=cat, matched=0, marked=0, article_ids=[])
+
+    # 2. 批量插入 article_reads(ON CONFLICT DO NOTHING,幂等)
+    # 分批:防御性,避免单次 VALUES 太多;500 是经验值,PG 完全能吃更大
+    BATCH = 500
+    marked_total = 0
+    for i in range(0, len(article_ids), BATCH):
+        chunk = article_ids[i : i + BATCH]
+        rows = [{"user_id": user.id, "article_id": aid} for aid in chunk]
+        stmt = pg_insert(ArticleRead).values(rows).on_conflict_do_nothing(
+            index_elements=["user_id", "article_id"]
+        )
+        # PG ON CONFLICT 不直接告诉哪些是"真插入的",通过 result() 或者信任总数;
+        # 这里简单信任 chunk 大小,marked 返回 attempt 数(去重由 PK 保证)
+        await session.execute(stmt)
+        marked_total += len(chunk)
+    await session.commit()
+
+    return CategoryReadResponse(
+        category=cat,
+        matched=len(article_ids),
+        marked=marked_total,
+        article_ids=article_ids,
+    )
+
+
+@router.get("/reads/category-count", response_model=list[CategoryCountItem])
+async def count_unread_by_categories(
+    categories: str = Query(..., description="逗号分隔的分类列表,例如 '美国,社会'"),
+    window_hours: int = Query(default=24, ge=1, le=168),
+    sources: str | None = Query(default=None, description="逗号分隔源 slug"),
+    q: str | None = Query(default=None, description="关键词过滤"),
+    user: User = Depends(get_current_user),
+    session: AsyncSession = Depends(get_session),
+):
+    """批量查多个分类的未读数(给前端提示条用,一次拿全,省 round-trip)。
+
+    - categories 必填,逗号分隔
+    - 每个分类独立 count(单次请求内是 N 次查询,数据量小,够用)
+    - 返回的 unread_count = 0 的分类前端不展示提示行
+    """
+    cat_list = [c.strip() for c in categories.split(",") if c.strip()]
+    if not cat_list:
+        return []
+
+    src_list = [s.strip() for s in sources.split(",") if s.strip()] if sources else None
+    eff_q = q.strip() if q and q.strip() else None
+
+    results: list[CategoryCountItem] = []
+    for cat in cat_list[:10]:  # 防御性:一次最多 10 个分类
+        filters = _build_category_filter(
+            category=cat,
+            window_hours=window_hours,
+            user_id=user.id,
+            sources=src_list,
+            q=eff_q,
+        )
+        stmt = select(func.count(Article.id))
+        if src_list:
+            stmt = stmt.join(Source, Source.id == Article.source_id)
+        for f in filters:
+            stmt = stmt.where(f)
+        n = (await session.execute(stmt)).scalar_one()
+        if n > 0:
+            results.append(
+                CategoryCountItem(category=cat, unread_count=int(n), window_hours=window_hours)
+            )
+    return results

frontend/src/api/articles.ts

@@ -142,6 +142,39 @@ export const readsApi = {
       '/me/reads', { params: sinceIso ? { since: sinceIso } : {} }
     ).then((r) => r.data)
   },
+  // === 按分类批量已读(Feed 提示条用)===
+  // 一次返回完整 article_ids 列表,前端用它做乐观滑出动画
+  markCategory(body: {
+    category: string
+    scope?: 'all_unread' | 'filtered_unread'
+    window_hours?: number
+    sources?: string[]
+    q?: string
+  }) {
+    return http.post<{
+      category: string
+      matched: number
+      marked: number
+      article_ids: number[]
+    }>('/me/reads/by-category', body).then((r) => r.data)
+  },
+  // 一次查多个分类的未读数(给提示条文案用)— 后端逗号分隔串接
+  countByCategories(
+    categories: string[],
+    params: { window_hours?: number; sources?: string[]; q?: string } = {},
+  ) {
+    return http.get<{ category: string; unread_count: number; window_hours: number }[]>(
+      '/me/reads/category-count',
+      {
+        params: {
+          categories: categories.join(','),
+          window_hours: params.window_hours ?? 24,
+          sources: params.sources?.length ? params.sources.join(',') : undefined,
+          q: params.q || undefined,
+        },
+      },
+    ).then((r) => r.data)
+  },
 }
 
 export const sourcesApi = {

frontend/src/views/Feed.vue

@@ -3,7 +3,7 @@ import { computed, h, onMounted, ref, watch } from 'vue'
 import { useRouter } from 'vue-router'
 import {
   NCard, NSpace, NTag, NText, NSelect, NInput, NButton, NEmpty, NSkeleton, NSpin,
-  NPagination, NAutoComplete, useMessage,
+  NPagination, NAutoComplete, NAlert, useMessage,
 } from 'naive-ui'
 import { articlesApi, readsApi, sourcesApi, type ArticleListItem, type Source } from '@/api/articles'
 import { searchApi, type SearchKeyword } from '@/api/search'
@@ -24,6 +24,20 @@ const loading = ref(false)
 // 等待滑出动画跑完的 article id 集合(避免动画进行中 v-for 直接移除元素)
 const pendingRemoval = ref<Set<number>>(new Set())
 
+// === 分类批量已读提示条 ===
+// 触发:用户标某条为已读时,查询该文章前 2 个 category 的"24h 未读数";
+//       大于 0 的 category 各显示一行提示,带独立"全部已读 / 稍后再说"按钮
+// 行为:点击"全部已读"调 markCategory,前端拿到 article_ids 走乐观滑出
+// 自动消失:8 秒(任一 category 被 dismiss / 确认 → 重置或清空)
+type CategoryPromptItem = {
+  category: string
+  unreadCount: number
+  triggeredById: number
+}
+const categoryPrompts = ref<CategoryPromptItem[]>([])
+const pendingCategory = ref<string | null>(null)  // 正在请求"全部已读"的分类
+let categoryPromptTimer: number | null = null
+
 // === 页码分页(替代原来的 cursor 无限滚动)===
 const page = ref(1)
 const pageSize = ref(50)
@@ -164,6 +178,13 @@ async function toggleRead(a: ArticleListItem) {
         }, 360)
       }
     }
+
+    // === 新增:刚标为已读 → 查该文章前 2 个 category 的 24h 未读数 ===
+    // unmark 路径不触发(用户反悔了,不该再骚扰);hide_read 模式仍可触发
+    // (滑出动画只影响当前这一条,提示条展示的是"这个分类下还有别的未读")
+    if (!wasRead && a.category) {
+      await maybePromptCategoryRead(a)
+    }
   } catch (e: any) {
     // 失败回滚
     a.is_read = wasRead
@@ -171,6 +192,94 @@ async function toggleRead(a: ArticleListItem) {
   }
 }
 
+// 查 a 的前 2 个 category 的 24h 未读数,有未读就追加 / 替换提示条
+async function maybePromptCategoryRead(a: ArticleListItem) {
+  const cats = splitCategory(a.category).slice(0, 2)
+  if (cats.length === 0) return
+  try {
+    const counts = await readsApi.countByCategories(cats, {
+      window_hours: 24,
+      sources: sourceFilter.value.length ? sourceFilter.value : undefined,
+      q: q.value || undefined,
+    })
+    // 只保留 unread_count > 0 的
+    const newPrompts: CategoryPromptItem[] = counts
+      .filter((c) => c.unread_count > 0)
+      .map((c) => ({
+        category: c.category,
+        unreadCount: c.unread_count,
+        triggeredById: a.id,
+      }))
+    if (newPrompts.length === 0) return
+
+    // 同一 category 已存在则替换(更新计数),不重复
+    const map = new Map(categoryPrompts.value.map((p) => [p.category, p]))
+    for (const p of newPrompts) map.set(p.category, p)
+    categoryPrompts.value = Array.from(map.values())
+
+    // 重置 8 秒自动消失
+    if (categoryPromptTimer !== null) clearTimeout(categoryPromptTimer)
+    categoryPromptTimer = window.setTimeout(() => {
+      categoryPrompts.value = []
+      categoryPromptTimer = null
+    }, 8000)
+  } catch (e: any) {
+    // 计数失败不影响主流程,静默
+    // eslint-disable-next-line no-console
+    console.debug('category count failed:', e?.message)
+  }
+}
+
+// 用户点头部"全部已读":调 markCategory + 乐观滑出 + 关闭该行提示
+async function confirmMarkCategory(category: string) {
+  if (pendingCategory.value) return  // 防重入
+  pendingCategory.value = category
+  try {
+    const resp = await readsApi.markCategory({
+      category,
+      scope: 'filtered_unread',
+      window_hours: 24,
+      sources: sourceFilter.value.length ? sourceFilter.value : undefined,
+      q: q.value || undefined,
+    })
+    // 把命中的 article 在 items 里全部 is_read=true
+    const ids = new Set(resp.article_ids)
+    for (const item of items.value) {
+      if (ids.has(item.id)) item.is_read = true
+    }
+    // 走 hide_read 模式下的滑出(累计 delay,逐个错开,避免 30 个 setTimeout 同时触发视觉抖)
+    let i = 0
+    for (const id of resp.article_ids) {
+      const idx = items.value.findIndex((x) => x.id === id)
+      if (idx < 0) continue
+      pendingRemoval.value.add(id)
+      const delay = 360 + i * 20
+      i++
+      setTimeout(() => {
+        const k = items.value.findIndex((x) => x.id === id)
+        if (k >= 0) items.value.splice(k, 1)
+        pendingRemoval.value.delete(id)
+        if (total.value > 0) total.value -= 1
+      }, delay)
+    }
+    dismissPrompt(category)
+    message.success(`已将 ${resp.marked} 条「${category}」标记为已读`)
+  } catch (e: any) {
+    message.error(e?.response?.data?.title || '操作失败')
+  } finally {
+    pendingCategory.value = null
+  }
+}
+
+// 关闭某一行(稍后再说 / 自动消失 / 已被 confirm 后调用)
+function dismissPrompt(category: string) {
+  categoryPrompts.value = categoryPrompts.value.filter((p) => p.category !== category)
+  if (categoryPrompts.value.length === 0 && categoryPromptTimer !== null) {
+    clearTimeout(categoryPromptTimer)
+    categoryPromptTimer = null
+  }
+}
+
 async function loadSources() {
   sources.value = await sourcesApi.list()
   sourceOptions.value = sources.value.map((s) => ({ label: s.name, value: s.slug }))
@@ -187,6 +296,14 @@ function onPageChange(p: number) {
 function resetToFirstPage() {
   page.value = 1
   load()
+  // 过滤上下文变了,旧分类提示的"24h 未读"数已不准,清掉
+  if (categoryPrompts.value.length > 0) {
+    categoryPrompts.value = []
+    if (categoryPromptTimer !== null) {
+      clearTimeout(categoryPromptTimer)
+      categoryPromptTimer = null
+    }
+  }
 }
 
 function open(a: ArticleListItem) {
@@ -310,6 +427,48 @@ onMounted(async () => {
       <NText :depth="3" style="font-size: 13px" class="feed-count-label">{{ itemsLabel }}</NText>
     </NSpace>
 
+    <!--
+      分类批量已读提示条:
+      - 一篇文章可拆出 1-2 行(取 category 前 2 个)
+      - 每行独立"全部已读 / 稍后再说"
+      - 8 秒自动消失 / 过滤变化时立即清掉
+    -->
+    <Transition name="prompt">
+      <div v-if="categoryPrompts.length > 0" class="feed-category-prompts">
+        <NAlert
+          v-for="p in categoryPrompts"
+          :key="p.category"
+          type="success"
+          :show-icon="false"
+          closable
+          @close="dismissPrompt(p.category)"
+          class="feed-category-prompt"
+        >
+          <template #header>
+            <NSpace align="center" :size="8" :wrap="true">
+              <NTag type="success" size="small" round :bordered="false">✓ 已读</NTag>
+              <NText>「{{ p.category }}」分类下还有 {{ p.unreadCount }} 条 24 小时未读</NText>
+            </NSpace>
+          </template>
+          <NSpace :size="8" style="margin-top: 8px">
+            <NButton
+              type="primary"
+              size="small"
+              round
+              :loading="pendingCategory === p.category"
+              :disabled="pendingCategory !== null"
+              @click="confirmMarkCategory(p.category)"
+            >
+              全部已读
+            </NButton>
+            <NButton size="small" round @click="dismissPrompt(p.category)">
+              稍后再说
+            </NButton>
+          </NSpace>
+        </NAlert>
+      </div>
+    </Transition>
+
     <NSpin :show="loading && items.length === 0">
       <NSkeleton v-if="loading && items.length === 0" :repeat="4" />
       <NEmpty v-else-if="items.length === 0 && !loading" description="暂无新闻" />
@@ -884,4 +1043,44 @@ onMounted(async () => {
 .card-move {
   transition: transform 0.35s ease;
 }
+
+/* === 分类批量已读提示条 ===
+   - 浅绿渐变 + 左侧色条,跟已读视觉呼应但不抢戏
+   - 出现/消失:opacity + max-height 配合,跟卡片滑出同节奏
+*/
+.feed-category-prompts {
+  display: flex;
+  flex-direction: column;
+  gap: 8px;
+}
+.feed-category-prompt {
+  background: linear-gradient(135deg, #f0fdf4 0%, #ecfdf5 100%);
+  border-left: 3px solid var(--color-primary, #5b86e5);
+  border-radius: 6px;
+  padding: 10px 12px;
+}
+.feed-category-prompt :deep(.n-alert__header) {
+  font-size: 13px;
+  font-weight: 500;
+}
+
+/* 提示条进入/离开(整组) */
+.prompt-enter-active,
+.prompt-leave-active {
+  transition: opacity 0.25s ease, transform 0.3s cubic-bezier(0.55, 0, 0.55, 0.2),
+    max-height 0.3s ease;
+  overflow: hidden;
+}
+.prompt-enter-from,
+.prompt-leave-to {
+  opacity: 0;
+  transform: translateY(-6px);
+  max-height: 0 !important;
+}
+.prompt-enter-to,
+.prompt-leave-from {
+  opacity: 1;
+  transform: translateY(0);
+  max-height: 200px;
+}
 </style>