feat(discovery): 完善书籍搜索推荐与日志记录

api_v2.py

@@ -172,6 +172,82 @@ def query_one(conn, sql, params=None):
     return rows[0] if rows else None
 
 
+def upsert_recommended_book(conn, values):
+    """按 book_id 更新推荐缓存，避免同一本书每次推荐都新增一行。"""
+    if not conn:
+        return
+    columns = (
+        "book_id, title, author, cover, intro, category, reason, reading_count, "
+        "new_rating, new_rating_count, rating_title, deep_link, search_idx, price, "
+        "pay_type, book_type, batch_id"
+    )
+    try:
+        with conn.cursor() as cur:
+            cur.execute("SELECT id FROM recommended_books WHERE book_id=%s ORDER BY id LIMIT 1", (values[0],))
+            row = cur.fetchone()
+            if row:
+                cur.execute(
+                    "UPDATE recommended_books SET title=%s, author=%s, cover=%s, intro=%s, category=%s, "
+                    "reason=%s, reading_count=%s, new_rating=%s, new_rating_count=%s, rating_title=%s, "
+                    "deep_link=%s, search_idx=%s, price=%s, pay_type=%s, book_type=%s, batch_id=%s, "
+                    "updated_at=NOW() WHERE id=%s",
+                    (*values[1:], row[0]),
+                )
+            else:
+                cur.execute(
+                    f"INSERT INTO recommended_books ({columns}) VALUES ({','.join(['%s'] * 17)})",
+                    values,
+                )
+            cur.execute(
+                "INSERT INTO content_logs "
+                "(event_type, batch_id, book_id, search_idx) VALUES ('recommendation',%s,%s,%s)",
+                (values[16], values[0], values[12] or 0),
+            )
+        conn.commit()
+    except Exception:
+        pass
+
+
+def upsert_search_result(conn, session_id, values):
+    """按 keyword + book_id 更新搜索缓存，避免重复搜索产生重复行。"""
+    if not conn or not session_id:
+        return
+    keyword, book_id = values[0], values[1]
+    try:
+        with conn.cursor() as cur:
+            cur.execute(
+                "SELECT id FROM search_results WHERE keyword=%s AND book_id=%s ORDER BY id LIMIT 1",
+                (keyword, book_id),
+            )
+            row = cur.fetchone()
+            if row:
+                cur.execute(
+                    "UPDATE search_results SET session_id=%s, title=%s, author=%s, cover=%s, intro=%s, "
+                    "publisher=%s, category=%s, reading_count=%s, new_rating=%s, new_rating_count=%s, "
+                    "rating_title=%s, deep_link=%s, pay_type=%s, price=%s, soldout=%s, search_idx=%s, "
+                    "result_scope=%s, result_title=%s, scope_count=%s, current_count=%s, updated_at=NOW() "
+                    "WHERE id=%s",
+                    (session_id, *values[2:], row[0]),
+                )
+            else:
+                cur.execute(
+                    "INSERT INTO search_results "
+                    "(session_id, keyword, book_id, title, author, cover, intro, publisher, category, "
+                    "reading_count, new_rating, new_rating_count, rating_title, deep_link, pay_type, price, "
+                    "soldout, search_idx, result_scope, result_title, scope_count, current_count) "
+                    f"VALUES ({','.join(['%s'] * 22)})",
+                    (session_id, *values),
+                )
+            cur.execute(
+                "INSERT INTO content_logs "
+                "(event_type, session_id, keyword, book_id, search_idx) VALUES ('search',%s,%s,%s,%s)",
+                (session_id, keyword, book_id, values[16] or 0),
+            )
+        conn.commit()
+    except Exception:
+        pass
+
+
 # ======================================================================
 # 格式化与展示辅助
 # ======================================================================
@@ -1368,14 +1444,41 @@ def api_v2_archives(conn):
 def api_v2_recommend(conn):
     """为你推荐（实时）。Query: maxIdx"""
     max_idx = request.args.get("maxIdx", type=int, default=0)
+    refresh = request.args.get("refresh", "0") == "1"
     try:
-        data = weapi("/book/recommend", ttl=600, count=12, maxIdx=max_idx)
+        data = weapi("/book/recommend", ttl=0 if refresh else 600, count=12, maxIdx=max_idx)
     except WeReadError as e:
         return jsonify({"error": str(e)}), 502
 
     books = []
-    for book in data.get("books") or []:
+    batch_id = datetime.now().strftime("%Y%m%d%H%M%S")
+    raw_books = data.get("books") or []
+
+    def enrich_recommendation(book):
+        info = weapi_safe("/book/info", ttl=1800, bookId=str(book.get("bookId") or "")) or {}
+        merged = dict(book)
+        for key in ("cover", "newRating", "newRatingCount", "newRatingDetail", "intro", "category", "deepLink"):
+            if not merged.get(key) and info.get(key):
+                merged[key] = info[key]
+        return merged
+
+    with ThreadPoolExecutor(max_workers=6) as pool:
+        enriched_books = list(pool.map(enrich_recommendation, raw_books))
+
+    for book in enriched_books:
         rating_detail = book.get("newRatingDetail") or {}
+        if conn:
+            upsert_recommended_book(
+                conn,
+                (
+                    book.get("bookId", ""), book.get("title", ""), book.get("author", ""),
+                    book.get("cover", ""), book.get("intro", ""), book.get("category", ""),
+                    book.get("reason", ""), book.get("readingCount", 0), book.get("newRating", 0),
+                    book.get("newRatingCount", 0), (rating_detail or {}).get("title", ""),
+                    book.get("deepLink", ""), book.get("searchIdx", 0), book.get("price"),
+                    book.get("payType"), book.get("type", 0), batch_id,
+                ),
+            )
         books.append(
             {
                 "id": str(book.get("bookId") or ""),
@@ -1436,16 +1539,28 @@ def api_v2_search(conn):
         return jsonify({"error": str(e), "keyword": keyword, "scope": scope_name}), 502
 
     books, authors, lists, groups = [], [], [], []
+    session_id = None
+    if conn:
+        try:
+            with conn.cursor() as cur:
+                cur.execute(
+                    "INSERT INTO search_sessions (sid, keyword, scope, has_more, max_idx) VALUES (%s,%s,%s,%s,%s)",
+                    (data.get("sid", ""), keyword, scope, data.get("hasMore", 0), 0),
+                )
+                session_id = cur.lastrowid
+        except Exception:
+            session_id = None
     seen_books, seen_authors, seen_groups = set(), set(), set()
     for group in data.get("results") or []:
         title = group.get("title") or ""
         gkey = (title, group.get("scope"), group.get("currentCount"))
-        if gkey in seen_groups:
-            continue
-        seen_groups.add(gkey)
+        if gkey not in seen_groups:
+            seen_groups.add(gkey)
+            if title:
+                groups.append({"title": title, "scope": group.get("scope"), "count": group.get("scopeCount") or 0})
         items = group.get("books") or []
-        if title:
-            groups.append({"title": title, "scope": group.get("scope"), "count": group.get("scopeCount") or 0})
+        if title == "作者" and not items and group.get("scopeCount"):
+            authors.append({"name": keyword, "count": group.get("scopeCount") or 0})
         for item in items:
             bi = item.get("bookInfo") or item.get("book") or {}
             bid = str(bi.get("bookId") or "")
@@ -1468,13 +1583,26 @@ def api_v2_search(conn):
                 "short": short_title(bi.get("title")),
                 "desc": bi.get("intro") or "",
                 "category": bi.get("category") or "",
-                "score": round(float(item.get("newRating") or 0) / 100, 1) if item.get("newRating") else None,
+                "score": round(float(bi.get("newRating") or 0) / 100, 1) if bi.get("newRating") else None,
                 "reading_count": item.get("readingCount") or 0,
                 "deep_link": bi.get("deepLink") or "",
                 "group": title,
                 "status": "wish",
                 "progress": 0,
             }
+            if session_id:
+                upsert_search_result(
+                    conn,
+                    session_id,
+                    (
+                        keyword, bid, entry["title"], entry["author"], bi.get("cover", ""),
+                        bi.get("intro", ""), bi.get("publisher", ""), entry["category"],
+                        item.get("readingCount", 0), bi.get("newRating", 0), bi.get("newRatingCount", 0),
+                        (bi.get("newRatingDetail") or {}).get("title", ""), entry["deep_link"],
+                        bi.get("payType"), bi.get("price"), bi.get("soldout", 0), item.get("searchIdx", 0),
+                        group.get("scope"), title, group.get("scopeCount") or 0, group.get("currentCount") or 0,
+                    ),
+                )
             if title in ("书单", "书单合集"):
                 lists.append({**entry, "name": entry["title"], "source": title, "ids": []})
             else:

app.py

@@ -35,7 +35,7 @@ try:
     _ssl_context = ssl.create_default_context(cafile=certifi.where())
 except ImportError:
     _ssl_context = ssl.create_default_context()
-from flask import Flask, jsonify, render_template, request
+from flask import Flask, g, jsonify, render_template, request
 
 from api_v2 import v2_bp
 
@@ -61,6 +61,60 @@ MYSQL_CONFIG = {
     "cursorclass": pymysql.cursors.DictCursor,  # 使用字典游标，方便按字段名取值
 }
 
+
+# ======================================================================
+# 网站操作日志
+# ======================================================================
+
+@app.before_request
+def start_operation_log_timer():
+    """记录请求开始时间，供 after_request 计算接口耗时。"""
+    g.operation_started_at = time.perf_counter()
+
+
+@app.after_request
+def write_operation_log(response):
+    """将 API 请求写入 operation_logs；日志失败不影响业务响应。"""
+    if not request.path.startswith("/api/"):
+        return response
+
+    try:
+        started_at = getattr(g, "operation_started_at", time.perf_counter())
+        duration_ms = max(0, int((time.perf_counter() - started_at) * 1000))
+        path_parts = [part for part in request.path.split("/") if part]
+        action = "/".join(path_parts[-2:]) if len(path_parts) >= 2 else request.path
+        target_type = path_parts[-2] if len(path_parts) >= 2 else None
+        target_id = path_parts[-1] if len(path_parts) >= 2 and path_parts[-1] != target_type else None
+        detail = {"query": request.args.to_dict(flat=True)}
+        conn = pymysql.connect(**MYSQL_CONFIG)
+        try:
+            with conn.cursor() as cur:
+                cur.execute(
+                    "INSERT INTO operation_logs "
+                    "(operation_type, action, target_type, target_id, keyword, request_path, "
+                    "request_method, status_code, duration_ms, detail_json) "
+                    "VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
+                    (
+                        "api_request",
+                        action,
+                        target_type,
+                        target_id,
+                        request.args.get("keyword"),
+                        request.path,
+                        request.method,
+                        response.status_code,
+                        duration_ms,
+                        json.dumps(detail, ensure_ascii=False),
+                    ),
+                )
+            conn.commit()
+        finally:
+            conn.close()
+    except Exception:
+        # 日志属于旁路能力，数据库或表异常时不能影响正常页面/API 返回。
+        pass
+    return response
+
 # ======================================================================
 # 微信读书 API 配置
 # ======================================================================

static/js/app.js

@@ -19,6 +19,8 @@ const SHELF_PAGE = 48;
 /* ------------------------------- 运行时状态 ------------------------------ */
 
 let page = 'overview', shelfTab = 'all', discoverTab = 'books', searchQuery = '', period = 'week';
+let searchComposing = false, discoverSearchTimer = null;
+let recommendOffset = 0;
 let noteBook = 'all', noteType = 'all', goalFilter = 'all';
 let detailBook = null, bookTab = 'info', reviewFilter = 0, selectedChapter = 0;
 let shelfLimit = SHELF_PAGE, chapterLimit = 30, searchScope = 'store', notesLimit = 30;
@@ -81,7 +83,8 @@ $('#theme').onclick = () => {
 /* 封面：优先显示微信读书返回的真实封面，加载失败时回退到示意封面 */
 function cover(book, mini = false) {
   const short = book.short || book.title || '';
-  const coverUrl = book.cover_url || (typeof book.cover === 'string' && /^https?:\/\//i.test(book.cover) ? book.cover : '');
+  const rawCoverUrl = book.cover_url || (typeof book.cover === 'string' && /^https?:\/\//i.test(book.cover) ? book.cover : '');
+  const coverUrl = rawCoverUrl.replace(/\/(?:t6_|s_)/, '/t8_');
   const coverClass = typeof book.cover === 'string' && !/^https?:\/\//i.test(book.cover) ? book.cover : '';
   const fallback = mini
     ? `<div class="mini-cover ${coverClass}" aria-hidden="true"><b>${esc(book.title)}</b><small>${esc(book.author)}</small></div>`
@@ -91,7 +94,7 @@ function cover(book, mini = false) {
   return `<img class="${className}" src="${esc(coverUrl)}" alt="${esc(book.title)}" loading="lazy" onerror='this.outerHTML=${JSON.stringify(fallback)}'>`;
 }
 function scoreText(book) {
-  return book.score ? `评分 ${Math.round(Number(book.score) * 10)}/100` : '暂无评分';
+  return book.score ? `评分 ${(Number(book.score) * 10).toFixed(2)}%` : '暂无评分';
 }
 function stateText(book) {
   if (book.status === 'done') return '已读完';
@@ -143,13 +146,35 @@ async function ensureShelf(force = false) {
   if (loadState.shelf === 'loading') return;
   if (shelfData && !force) return;
   loadState.shelf = 'loading'; loadError.shelf = '';
-  if (['shelf', 'overview', 'goals'].includes(page)) renderPage();
+  if (['shelf', 'overview', 'goals', 'discover'].includes(page)) renderPage();
   try {
-    const data = await WeApi.shelf('all', { progress: true });
+    // 首屏只读取书架基础数据，避免等待逐本补拉进度和评分。
+    const data = await WeApi.shelf('all', { progress: false });
     shelfData = data;
     books = data.books || [];
     booklists = (data.lists || []).map(list => ({ ...list, description: list.description || `我的书单 · ${list.book_count} 本` }));
     loadState.shelf = 'ready';
+    const localDiscoverKey = `${searchScope}:books:${searchQuery}`;
+    if (!searchQuery) {
+      discoverData[localDiscoverKey] = { local: true, books, authors: [], lists: booklists };
+      loadState.discover[localDiscoverKey] = 'ready';
+    }
+    if (['shelf', 'overview', 'goals', 'discover'].includes(page)) renderPage();
+
+    // 后台补充评分和阅读进度，完成后静默刷新，不阻塞首屏。
+    WeApi.shelf('all', { progress: true }).then(enriched => {
+      shelfData = enriched;
+      books = enriched.books || books;
+      if (enriched.lists) {
+        booklists = enriched.lists.map(list => ({ ...list, description: list.description || `我的书单 · ${list.book_count} 本` }));
+      }
+      if (!searchQuery) {
+        discoverData[localDiscoverKey] = { local: true, books, authors: [], lists: booklists };
+      }
+      if (['shelf', 'overview', 'goals', 'discover'].includes(page)) renderPage();
+    }).catch(() => {
+      // 评分/进度补充失败时保留已展示的基础书架数据。
+    });
   } catch (error) {
     loadError.shelf = error.message; loadState.shelf = 'error';
   }
@@ -207,17 +232,17 @@ function discoverKey() {
   if (discoverTab === 'lists') return `${searchScope}:lists`;
   return `${searchScope}:${discoverTab}:${searchQuery}`;
 }
-async function ensureDiscover(force = false) {
+async function ensureDiscover(force = false, refresh = false) {
   const key = discoverKey();
   if (loadState.discover[key] === 'loading') return;
   if (discoverData[key] && !force) return;
   loadState.discover[key] = 'loading'; loadError.discover[key] = '';
   if (page === 'discover') renderPage();
   try {
-    if (searchScope === 'shelf' || (!searchQuery && (discoverTab === 'books' || discoverTab === 'all'))) {
+    if (searchScope === 'shelf') {
       discoverData[key] = { local: true, books: books, authors: [], lists: [] };
     } else if (discoverTab === 'recommend') {
-      discoverData[key] = await WeApi.recommend(0);
+      discoverData[key] = await WeApi.recommend(recommendOffset, refresh);
     } else {
       discoverData[key] = await WeApi.search(searchQuery || '文学', discoverTab);
     }
@@ -458,6 +483,11 @@ function renderDiscover() {
   const options = [['books', '书籍'], ['lists', '书单'], ['recommend', '为你推荐'], ['all', '综合'], ['author', '作者'], ['novel', '网文'], ['audio', '听书'], ['fulltext', '全文'], ['account', '公众号'], ['article', '文章']];
   if (!shelfData) ensureShelf();
   const key = discoverKey();
+  // 默认书籍页直接使用已加载的本地书架，不等待远程书城搜索。
+  if (!discoverData[key] && !searchQuery && searchScope === 'shelf') {
+    discoverData[key] = { local: true, books, authors: [], lists: booklists };
+    loadState.discover[key] = 'ready';
+  }
   const payload = discoverData[key];
   let content = '';
   if (loadError.discover[key]) content = statusBox('error', '暂时无法获取数据', loadError.discover[key], 'retry-discover');
@@ -465,10 +495,10 @@ function renderDiscover() {
   else if (discoverTab === 'recommend') {
     const list = payload.books || [];
     const prefer = (dashboardData[period] && dashboardData[period].prefer_words.category) || '你的阅读偏好';
-    content = `<div class="discovery-hero"><div class="eyebrow">PICKED FOR YOUR NEXT CHAPTER</div><h2>读过的书，会带你遇见下一本。</h2><p>${esc(prefer)} · 微信读书实时推荐</p></div><div class="card panel"><div class="books full-books">${list.map(recommendCard).join('') || '<div class="empty">接口暂时没有返回推荐书籍。</div>'}</div></div>`;
+    content = `<div class="discovery-hero"><div class="section-head"><div><div class="eyebrow">PICKED FOR YOUR NEXT CHAPTER</div><h2>读过的书，会带你遇见下一本。</h2><p>${esc(prefer)} · 微信读书实时推荐</p></div><button class="secondary" data-action="refresh-recommend">换一批</button></div></div><div class="card panel"><div class="books full-books">${list.map(recommendCard).join('') || '<div class="empty">接口暂时没有返回推荐书籍。</div>'}</div></div>`;
   } else if (discoverTab === 'lists') {
-    const lists = (payload.lists && payload.lists.length) ? payload.lists : booklists;
-    content = renderLists(lists.map(list => ({ ...list, description: list.description || `收录 ${list.book_count || (list.ids || []).length} 本`, source: list.source || '我的书单' }))) + (payload.lists && payload.lists.length ? '' : '<p class="hint section-space">书城书单搜索接口暂未返回结果，以上为你的书架书单。</p>');
+    const lists = searchScope === 'shelf' ? booklists : (payload.lists || []);
+    content = renderLists(lists.map(list => ({ ...list, description: list.description || `收录 ${list.book_count || (list.ids || []).length} 本`, source: list.source || (searchScope === 'shelf' ? '我的书单' : '腾讯书城') }))) + (!lists.length && searchScope !== 'shelf' ? '<p class="hint section-space">腾讯书城返回了书单数量，但当前接口没有返回具体书单条目。</p>' : '');
   } else if (discoverTab === 'author') {
     const authors = payload.authors || [];
     content = `<div class="card panel">${authors.map(author => `<div class="book-row"><div class="avatar">${esc(author.name.slice(0, 1))}</div><div class="book-row-text"><b>${esc(author.name)}</b><p>作者 · 书城检索</p></div><button class="text-button" data-action="author-books" data-name="${esc(author.name)}">查看书籍 →</button></div>`).join('') || '<div class="empty">没有匹配的作者，换个关键词试试。</div>'}</div>`;
@@ -480,7 +510,8 @@ function renderDiscover() {
       : `<div class="card empty">「${esc(names[discoverTab])}」搜索：接口当前没有返回条目，可切换其他类型或关键词。</div>`;
   } else if (discoverTab === 'all') {
     const list = payload.books || [];
-    content = `<div class="section-head"><h2>书籍</h2></div><div class="card panel"><div class="books">${list.slice(0, 8).map(searchCard).join('') || '<div class="empty">没有匹配的书籍。</div>'}</div></div><div class="section-head section-space"><h2>书单</h2></div>${renderLists(booklists.slice(0, 3))}`;
+    const remoteLists = payload.lists || [];
+    content = `<div class="section-head"><h2>书籍</h2></div><div class="card panel"><div class="books">${list.slice(0, 8).map(searchCard).join('') || '<div class="empty">没有匹配的书籍。</div>'}</div></div><div class="section-head section-space"><h2>书单</h2></div>${renderLists(remoteLists)}${!remoteLists.length ? '<p class="hint section-space">腾讯书城未返回具体书单条目。</p>' : ''}`;
   } else {
     const list = payload.books || [];
     const local = list.filter(book => !searchQuery || `${book.title}${book.author}${book.category}`.toLowerCase().includes(searchQuery.toLowerCase()));
@@ -514,7 +545,7 @@ function renderBookDetail() {
   const progress = data.progress.progress;
   const state = progress >= 100 ? '已读完' : progress > 0 ? `已读 ${progress}%` : '尚未开始阅读';
   const readTimeText = data.progress.record_reading_time ? ` · 累计 ${esc(data.progress.record_reading_time_str)}` : '';
-  showDetail('书籍详情', `<div class="detail-body">${cover(info)}<div class="detail-info"><div class="eyebrow">READING SPACE / BOOK</div><h3>${esc(info.title)}</h3><p>${esc(info.author)}${info.translator ? ' · 译者 ' + esc(info.translator) : ''}</p><p style="color:var(--green)">${info.rating ? `评分 ${Math.round(info.rating)}/100 · ${info.rating_count} 人评价` : '暂无评分'}</p><p>${state}${readTimeText}</p><button class="primary" data-action="add-book" data-id="${esc(info.id)}">＋ 加入阅读目标</button>${info.deep_link ? ` <a class="secondary" style="text-decoration:none;display:inline-block;margin-top:8px" href="${esc(info.deep_link)}" target="_blank" rel="noreferrer">在微信读书中打开 ↗</a>` : ''}</div></div><div class="detail-tabs">${[['info', '简介'], ['chapters', '目录'], ['notes', '我的笔记'], ['popular', '热门划线'], ['reviews', '读者点评'], ['similar', '相似推荐']].map(([tab, label]) => `<button data-action="book-tab" data-id="${tab}" class="${bookTab === tab ? 'active' : ''}">${label}</button>`).join('')}</div><div id="book-tab-content">${renderBookTab(data)}</div>`);
+  showDetail('书籍详情', `<div class="detail-body">${cover(info)}<div class="detail-info"><div class="eyebrow">READING SPACE / BOOK</div><h3>${esc(info.title)}</h3><p>${esc(info.author)}${info.translator ? ' · 译者 ' + esc(info.translator) : ''}</p><p style="color:var(--green)">${info.rating ? `评分 ${(Number(info.rating) / 10).toFixed(2)}% · ${info.rating_count} 人评价` : '暂无评分'}</p><p>${state}${readTimeText}</p><button class="primary" data-action="add-book" data-id="${esc(info.id)}">＋ 加入阅读目标</button>${info.deep_link ? ` <a class="secondary" style="text-decoration:none;display:inline-block;margin-top:8px" href="${esc(info.deep_link)}" target="_blank" rel="noreferrer">在微信读书中打开 ↗</a>` : ''}</div></div><div class="detail-tabs">${[['info', '简介'], ['chapters', '目录'], ['notes', '我的笔记'], ['popular', '热门划线'], ['reviews', '读者点评'], ['similar', '相似推荐']].map(([tab, label]) => `<button data-action="book-tab" data-id="${tab}" class="${bookTab === tab ? 'active' : ''}">${label}</button>`).join('')}</div><div id="book-tab-content">${renderBookTab(data)}</div>`);
 }
 function renderBookTab(data) {
   const info = data.book;
@@ -592,6 +623,7 @@ function handleAction(button) {
     case 'shelf-more': shelfLimit += SHELF_PAGE; renderPage(); break;
     case 'period': period = id; renderPage(); break;
     case 'discover-tab': discoverTab = id; renderPage(); break;
+    case 'refresh-recommend': recommendOffset += 12; ensureDiscover(true, true); break;
     case 'retry-overview': ensureDashboard(period, true); break;
     case 'retry-shelf': ensureShelf(true); break;
     case 'retry-notes': if (!notebooksData) ensureNotebooks(true); else ensureNotes(noteBook, true); break;
@@ -642,15 +674,37 @@ $('#goal-start').onchange = () => { $('#goal-end').min = $('#goal-start').value;
 $('#goal-name').oninput = () => $('#goal-name').setCustomValidity('');
 $('#goal-form').onsubmit = saveGoal;
 $('#picker-search').oninput = renderPicker;
-$('#global-search').oninput = event => {
-  searchQuery = event.target.value.trim();
+function applyGlobalSearch(value) {
+  searchQuery = value;
   if (!['books', 'all', 'author', 'novel', 'audio', 'fulltext', 'account', 'article'].includes(discoverTab)) discoverTab = 'books';
   navigate('discover');
+}
+$('#global-search').addEventListener('compositionstart', () => { searchComposing = true; });
+$('#global-search').addEventListener('compositionend', event => {
+  searchComposing = false;
+  applyGlobalSearch(event.target.value.trim());
+});
+$('#global-search').oninput = event => {
+  if (searchComposing || event.isComposing) return;
+  clearTimeout(discoverSearchTimer);
+  discoverSearchTimer = setTimeout(() => applyGlobalSearch(event.target.value.trim()), 300);
 };
 document.addEventListener('input', event => {
   if (event.target.id === 'discover-search') {
-    const position = event.target.selectionStart; searchQuery = event.target.value; $('#global-search').value = searchQuery; renderPage();
-    $('#discover-search').focus(); $('#discover-search').setSelectionRange(position, position);
+    if (event.isComposing || searchComposing) return;
+    const value = event.target.value;
+    $('#global-search').value = value;
+    clearTimeout(discoverSearchTimer);
+    discoverSearchTimer = setTimeout(() => applyGlobalSearch(value), 300);
+  }
+});
+document.addEventListener('compositionstart', event => {
+  if (event.target.id === 'discover-search') searchComposing = true;
+});
+document.addEventListener('compositionend', event => {
+  if (event.target.id === 'discover-search') {
+    searchComposing = false;
+    applyGlobalSearch(event.target.value.trim());
   }
 });
 document.addEventListener('keydown', event => { if ((event.metaKey || event.ctrlKey) && event.key === 'k') { event.preventDefault(); $('#global-search').focus(); } });

static/js/weapi.js

@@ -112,8 +112,8 @@
       return request('/archives');
     },
 
-    recommend(maxIdx) {
-      return request('/recommend', { maxIdx: maxIdx || 0 });
+    recommend(maxIdx, refresh = false) {
+      return request('/recommend', { maxIdx: maxIdx || 0, refresh: refresh ? 1 : 0 });
     },
 
     search(keyword, scope) {