diff --git a/.gitea/workflows/ci.yml b/.gitea/workflows/ci.yml
new file mode 100644
index 0000000..240180a
--- /dev/null
+++ b/.gitea/workflows/ci.yml
@@ -0,0 +1,74 @@
+name: Rust CI
+
+on:
+  push:
+    branches: [main, master, develop]
+  pull_request:
+    branches: [main, master]
+
+env:
+  CARGO_TERM_COLOR: always
+  RUSTFLAGS: -D warnings
+
+jobs:
+  check:
+    name: Cargo Check
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install Rust toolchain
+        uses: actions-rust-lang/setup-rust-toolchain@v1
+        with:
+          toolchain: stable
+          components: clippy
+
+      - name: Cache cargo dependencies
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cargo/registry
+            ~/.cargo/git
+            target
+          key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-cargo-
+
+      - name: Check compilation
+        run: cargo check --all-targets
+
+      - name: Clippy lint
+        run: cargo clippy --all-targets -- -D warnings
+
+  build:
+    name: Build Release
+    needs: check
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Install Rust toolchain
+        uses: actions-rust-lang/setup-rust-toolchain@v1
+        with:
+          toolchain: stable
+
+      - name: Cache cargo dependencies
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cargo/registry
+            ~/.cargo/git
+            target
+          key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-cargo-
+
+      - name: Build release
+        run: cargo build --release
+
+      - name: Upload binary
+        uses: actions/upload-artifact@v4
+        with:
+          name: imager-${{ runner.os }}
+          path: target/release/imager
+          if-no-files-found: error
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 8bac997..897a208 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,3 @@
 /target
-/albmums
\ No newline at end of file
+/albums/
+.idea
\ No newline at end of file
diff --git a/Cargo.lock b/Cargo.lock
new file mode 100644
index 0000000..fa82d82
--- /dev/null
+++ b/Cargo.lock
@@ -0,0 +1,3417 @@
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diff --git a/migrations/002_metadata.sql b/migrations/002_metadata.sql
new file mode 100644
index 0000000..c6cf83f
--- /dev/null
+++ b/migrations/002_metadata.sql
@@ -0,0 +1,52 @@
+-- 相册元数据扩展字段
+ALTER TABLE albums ADD COLUMN person_name_original TEXT;
+ALTER TABLE albums ADD COLUMN person_name_cleaned TEXT;
+ALTER TABLE albums ADD COLUMN tags TEXT;  -- JSON: [tag, ...]
+ALTER TABLE albums ADD COLUMN all_words TEXT;  -- JSON: [[word, pos], ...]
+ALTER TABLE albums ADD COLUMN raw_title TEXT;
+ALTER TABLE albums ADD COLUMN processed_at TEXT;
+
+-- 标签索引表（倒排索引）
+CREATE TABLE IF NOT EXISTS album_tags (
+    album_id TEXT NOT NULL,
+    tag TEXT NOT NULL,
+    PRIMARY KEY (album_id, tag),
+    FOREIGN KEY (album_id) REFERENCES albums(id) ON DELETE CASCADE
+);
+CREATE INDEX IF NOT EXISTS idx_album_tags_tag ON album_tags(tag);
+
+-- 人物表
+CREATE TABLE IF NOT EXISTS persons (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    name TEXT NOT NULL UNIQUE,
+    display_name TEXT,
+    total_albums INTEGER DEFAULT 0,
+    total_images INTEGER DEFAULT 0,
+    original_names TEXT,  -- JSON: [raw_name, ...]
+    created_at TEXT DEFAULT (datetime('now', 'localtime')),
+    updated_at TEXT DEFAULT (datetime('now', 'localtime'))
+);
+CREATE INDEX IF NOT EXISTS idx_persons_name ON persons(name);
+
+-- 别名表
+CREATE TABLE IF NOT EXISTS person_aliases (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    person_id INTEGER NOT NULL,
+    alias_type TEXT NOT NULL,  -- prefix / english / nickname / chinese
+    alias_name TEXT NOT NULL,
+    created_at TEXT DEFAULT (datetime('now', 'localtime')),
+    FOREIGN KEY (person_id) REFERENCES persons(id) ON DELETE CASCADE
+);
+CREATE INDEX IF NOT EXISTS idx_aliases_name ON person_aliases(alias_name);
+CREATE INDEX IF NOT EXISTS idx_aliases_person ON person_aliases(person_id);
+
+-- 人物-相册关联表
+CREATE TABLE IF NOT EXISTS person_albums (
+    person_id INTEGER NOT NULL,
+    album_id TEXT NOT NULL,
+    PRIMARY KEY (person_id, album_id),
+    FOREIGN KEY (person_id) REFERENCES persons(id),
+    FOREIGN KEY (album_id) REFERENCES albums(id)
+);
+
+CREATE INDEX IF NOT EXISTS idx_albums_cleaned ON albums(person_name_cleaned);
\ No newline at end of file
diff --git a/scripts/import_test_data.py b/scripts/import_test_data.py
new file mode 100644
index 0000000..46f572b
--- /dev/null
+++ b/scripts/import_test_data.py
@@ -0,0 +1,284 @@
+"""
+从 192.168.1.100:4500 API 拉取指定数量相册作为测试数据（多线程并行版）
+导入到 Rust imager 项目的 SQLite 数据库和 albums 目录
+"""
+import requests
+import sqlite3
+import os
+import sys
+import time
+import uuid
+import threading
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import datetime
+
+API_BASE = "http://192.168.1.100:4500"
+DB_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "imager.db")
+ALBUMS_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "albums")
+
+# 全局 DB 写锁
+db_lock = threading.Lock()
+# 进度计数器
+progress_lock = threading.Lock()
+completed_count = [0]
+total_count = [0]
+
+# 线程本地 Session（复用连接）
+thread_local = threading.local()
+
+
+def get_session():
+    if not hasattr(thread_local, "session"):
+        thread_local.session = requests.Session()
+        thread_local.session.timeout = 60
+    return thread_local.session
+
+
+def fetch_albums(limit=100):
+    """获取相册列表"""
+    url = f"{API_BASE}/api/albums"
+    print(f"[1/4] 获取相册列表: {url}")
+    resp = requests.get(url, timeout=30)
+    data = resp.json()
+
+    if isinstance(data, dict) and "albums" in data:
+        albums = data["albums"]
+    elif isinstance(data, list):
+        albums = data
+    else:
+        print(f"未知响应格式: {type(data)}")
+        return []
+
+    albums = albums[:limit]
+    print(f"  获取到 {len(albums)} 个相册")
+    return albums
+
+
+def fetch_album_images(album_id):
+    """获取相册的图片列表"""
+    url = f"{API_BASE}/api/album/{album_id}"
+    try:
+        resp = requests.get(url, timeout=30)
+        data = resp.json()
+        if isinstance(data, dict) and "images" in data:
+            return data["images"]
+        elif isinstance(data, list):
+            return data
+    except Exception as e:
+        print(f"  获取图片列表失败 {album_id}: {e}")
+    return []
+
+
+def download_single_image(img):
+    """下载单张图片（线程安全）"""
+    img_id = img.get("id", str(uuid.uuid4()))
+    mime = img.get("mime_type", "image/jpeg")
+    ext = "jpg"
+    if mime and "/" in mime:
+        ext = mime.split("/")[-1]
+
+    album_id = str(img.get("_album_id", ""))
+    filename = f"{img_id}.{ext}"
+    db_filename = f"{album_id}/{filename}"  # 数据库路径：{album_id}/{img_id}.ext
+    save_path = os.path.join(ALBUMS_DIR, album_id, filename)
+
+    # 跳过已下载
+    if os.path.exists(save_path) and os.path.getsize(save_path) > 0:
+        file_size = os.path.getsize(save_path)
+        width, height = get_image_dimensions(save_path)
+        return (img_id, db_filename, file_size, width, height, mime)
+
+    url = f"{API_BASE}/api/image/{img_id}"
+    try:
+        session = get_session()
+        resp = session.get(url, timeout=60)
+        if resp.status_code == 200:
+            os.makedirs(os.path.dirname(save_path), exist_ok=True)
+            with open(save_path, "wb") as f:
+                f.write(resp.content)
+            file_size = len(resp.content)
+            width, height = get_image_dimensions(save_path)
+            return (img_id, db_filename, file_size, width, height, resp.headers.get("content-type", mime))
+    except Exception as e:
+        pass
+    return None
+
+
+def get_image_dimensions(path):
+    """获取图片尺寸（二进制头解析）"""
+    try:
+        with open(path, "rb") as f:
+            header = f.read(32)
+            if header[:2] == b"\xff\xd8":
+                f.seek(2)
+                while True:
+                    chunk = f.read(4)
+                    if len(chunk) < 4:
+                        break
+                    if chunk[0] != 0xFF:
+                        break
+                    seg_type = chunk[1]
+                    if seg_type == 0xDA:
+                        break
+                    seg_len = int.from_bytes(chunk[2:4], "big")
+                    if seg_type in (0xC0, 0xC1, 0xC2):
+                        data = f.read(seg_len - 2)
+                        if len(data) >= 5:
+                            return int.from_bytes(data[1:3], "big"), int.from_bytes(data[3:5], "big")
+                    f.seek(seg_len - 2, 1)
+                return 0, 0
+            elif header[:8] == b"\x89PNG\r\n\x1a\n":
+                return int.from_bytes(header[16:20], "big"), int.from_bytes(header[20:24], "big")
+            elif header[:4] == b"RIFF" and header[8:12] == b"WEBP":
+                return int.from_bytes(header[24:26], "little"), int.from_bytes(header[26:28], "little")
+            elif header[:6] in (b"GIF87a", b"GIF89a"):
+                return int.from_bytes(header[6:8], "little"), int.from_bytes(header[8:10], "little")
+            return 0, 0
+    except Exception:
+        return 0, 0
+
+
+def sync_album_to_db(conn, album, images_info):
+    """将相册和图片写入数据库（调用方持有 db_lock）"""
+    cursor = conn.cursor()
+    now = datetime.utcnow().isoformat() + "Z"
+    album_id = album["id"]
+    title = album.get("title", "Untitled")
+
+    cursor.execute(
+        """INSERT OR REPLACE INTO albums
+           (id, title, document, description, cover_image_id, image_count, created_at, updated_at)
+           VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
+        (
+            album_id, title, album_id,
+            album.get("description"),
+            images_info[0][0] if images_info else None,
+            len(images_info),
+            album.get("created_at", now),
+            now,
+        ),
+    )
+
+    for img_id, filename, file_size, width, height, mime_type in images_info:
+        cursor.execute(
+            """INSERT OR REPLACE INTO images
+               (id, album_id, filename, original_url, title, description, file_size, width, height, mime_type, created_at)
+               VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
+            (img_id, album_id, filename, f"{API_BASE}/api/image/{img_id}",
+             f"图片 {img_id[:8]}", None, file_size, width, height, mime_type or "image/jpeg", now),
+        )
+
+    conn.commit()
+
+
+def process_album(album, conn, dl_workers):
+    """处理单个相册：下载所有图片并写入数据库"""
+    aid = album["id"]
+    title = album.get("title", "Untitled")[:60]
+
+    # 获取图片列表
+    images = fetch_album_images(aid)
+    if not images:
+        with progress_lock:
+            completed_count[0] += 1
+            print(f"[{completed_count[0]}/{total_count[0]}] {title} — 无图片，跳过")
+        return 0
+
+    # 为每个图片打上 album_id 标记
+    for img in images:
+        img["_album_id"] = aid
+
+    # 并行下载
+    downloaded = []
+    with ThreadPoolExecutor(max_workers=dl_workers) as pool:
+        futures = {pool.submit(download_single_image, img): img for img in images}
+        for future in as_completed(futures):
+            result = future.result()
+            if result:
+                downloaded.append(result)
+
+    if not downloaded:
+        with progress_lock:
+            completed_count[0] += 1
+            print(f"[{completed_count[0]}/{total_count[0]}] {title} — 0 张下载成功")
+        return 0
+
+    # 写入数据库
+    with db_lock:
+        sync_album_to_db(conn, album, downloaded)
+
+    n = len(downloaded)
+    with progress_lock:
+        completed_count[0] += 1
+        print(f"[{completed_count[0]}/{total_count[0]}] {title} — {n} 张图片")
+
+    return n
+
+
+def main():
+    total = int(sys.argv[1]) if len(sys.argv) > 1 else 100
+    dl_workers = int(sys.argv[2]) if len(sys.argv) > 2 else 8
+    album_workers = int(sys.argv[3]) if len(sys.argv) > 3 else 4
+
+    print(f"=== 从 API 导入 {total} 个相册（并行下载: {dl_workers}线程/相册, 并行相册: {album_workers}）===\n")
+
+    os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
+    os.makedirs(ALBUMS_DIR, exist_ok=True)
+
+    conn = sqlite3.connect(DB_PATH, check_same_thread=False)
+    conn.execute("PRAGMA journal_mode=WAL")
+    conn.execute("PRAGMA foreign_keys=ON")
+    conn.execute("PRAGMA synchronous=NORMAL")
+
+    # 获取已有相册
+    existing = set()
+    for row in conn.execute("SELECT id FROM albums"):
+        existing.add(row[0])
+    print(f"  数据库中已有 {len(existing)} 个相册")
+
+    # 获取相册列表
+    albums = fetch_albums(total)
+    if not albums:
+        print("未获取到相册，退出")
+        return
+
+    new_albums = [a for a in albums if a["id"] not in existing]
+    skipped = len(albums) - len(new_albums)
+    if skipped > 0:
+        print(f"  跳过 {skipped} 个已存在的相册")
+    print(f"  需要导入 {len(new_albums)} 个新相册\n")
+
+    if not new_albums:
+        print("没有新相册需要导入")
+        conn.close()
+        return
+
+    total_count[0] = len(new_albums)
+    total_images = 0
+    t0 = time.time()
+
+    # 并行处理相册
+    with ThreadPoolExecutor(max_workers=album_workers) as pool:
+        futures = {pool.submit(process_album, album, conn, dl_workers): album for album in new_albums}
+        for future in as_completed(futures):
+            n = future.result()
+            total_images += n
+
+    elapsed = time.time() - t0
+
+    # 重建 image_count
+    print(f"\n[4/4] 更新相册图片计数...")
+    conn.execute("""UPDATE albums SET image_count = (SELECT COUNT(*) FROM images WHERE images.album_id = albums.id)""")
+    conn.commit()
+    conn.close()
+
+    print(f"\n=== 导入完成 ===")
+    print(f"  成功导入: {len(new_albums)} 个相册")
+    print(f"  总图片数: {total_images} 张")
+    print(f"  耗时: {elapsed:.1f} 秒")
+    print(f"  数据库: {DB_PATH}")
+    print(f"  图片目录: {ALBUMS_DIR}")
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/src/bin/migrate.rs b/src/bin/migrate.rs
new file mode 100644
index 0000000..cea3935
--- /dev/null
+++ b/src/bin/migrate.rs
@@ -0,0 +1,872 @@
+//! 数据库迁移 CLI 工具
+//!
+//! 功能:
+//! 1. 从老数据库 (persons.db) 读取数据
+//! 2. 对 title 进行解析 (人名提取、标签提取)
+//! 3. 生成新的数据库
+//! 4. 验证搜索等功能
+//!
+//! 用法:
+//!   cargo run --bin migrate -- --old-db ../yolov8_face_recognition/persons.db --new-db ./data/imager.db
+//!   cargo run --bin migrate -- --old-db ../yolov8_face_recognition/persons.db --new-db ./data/imager.db --reparse
+//!   cargo run --bin migrate -- --verify --new-db ./data/imager.db
+
+use serde::{Deserialize, Serialize};
+use sqlx::{SqlitePool, sqlite::SqlitePoolOptions, Row};
+use std::collections::{HashMap, HashSet};
+use std::path::Path;
+use std::time::Instant;
+
+// ============================================================
+// 标题解析模块 (Rust 原生实现)
+// ============================================================
+
+mod title_parser {
+    use regex::Regex;
+    use std::collections::HashSet;
+    use lazy_static::lazy_static;
+
+    /// 模特称呼前缀
+    const MODEL_PREFIXES: &[&str] = &[
+        "美女模特", "性感女神", "新人模特", "新人嫩模", "新人妹子",
+        "气质女神", "气质美女", "性感美女", "宅男女神", "丽质女神",
+        "丽质美女", "红粉佳人", "美乳女神", "清纯女神", "性感嫩模",
+        "性感御姐", "美女", "模特", "女神", "御姐", "嫩模",
+        "新晋女神", "新晋美模", "日本", "日本人气",
+    ];
+
+    /// 停用词
+    const STOP_WORDS: &[&str] = &[
+        "photos", "photo", "phot", "images", "image", "video", "videos",
+        "picture", "pictures", "pic", "gif", "gifs", "mp4", "webp",
+        "cosplay", "cos", "set", "part", "collection", "series",
+        "special", "vol", "no", "no.", "ver", "version", "edition",
+        "new", "xxx", "preview", "teaser", "sample",
+        "写真", "套图", "旅拍", "系列", "诱惑", "性感", "美女",
+        "模特", "女神", "写真集", "首套", "版", "主题", "风格",
+        "the", "a", "an", "in", "on", "at", "of", "to", "for",
+        "with", "by", "and", "or", "but", "from", "is", "are",
+        "this", "that", "these", "those", "it", "its",
+        "的", "了", "在", "是", "我", "有", "和", "就", "不", "人", "都", "一",
+        "一个", "上", "也", "很", "到", "说", "要", "去", "你", "会", "着",
+        "没有", "看", "好", "自己", "这", "他", "她", "它", "们", "那", "些",
+    ];
+
+    /// 工作室排除名
+    const EXCLUDED_NAMES: &[&str] = &[
+        "xiuren", "秀人", "秀人网", "youmi", "尤蜜", "尤蜜荟",
+        "xingyan", "星颜", "魅妍社", "mistar",
+        "mygirl", "美媛馆", "imiss", "爱蜜社", "huayang", "花漾",
+        "bololi", "波萝社", "feilin", "嗲囡囡", "qingdouke", "青豆客",
+        "toutiao", "头条女神", "xiaoyu", "语画界", "youmei", "尤美",
+        "ugirls", "尤果", "尤果网", "mfstar", "模范学院",
+        "tgod", "推女神", "dgkirl", "御女郎", "candy", "糖果画报",
+        "wanibooks", "bluecake", "pure media", "puremedia",
+    ];
+
+    lazy_static! {
+        static ref RE_PHOTOS: Regex = Regex::new(
+            r"(?i)\s*\d+\s*photos?\s*(?:and\s*\d+\s*videos?)?\s*$"
+        ).unwrap();
+        static ref RE_COSPLAY: Regex = Regex::new(
+            r"(?i)^(.+?)\s+cosplay\s+(.+?)(?:\s*[–—\-]\s*(.+))?$"
+        ).unwrap();
+        static ref RE_COSPLAY_BY: Regex = Regex::new(
+            r"(?i)^(.+?)\s+cosplay\s+by\s+(.+?)(?:\s*[–—\-]\s*(.+))?$"
+        ).unwrap();
+        static ref RE_BRACKET: Regex = Regex::new(r"^[\s]*[\[【][^\]]*[\]】][\s]*").unwrap();
+        static ref RE_NUMBER_PREFIX: Regex = Regex::new(
+            r"(?i)^(?:No\.?\s*\d+|VOL\.?\s*\d+)\s+"
+        ).unwrap();
+        static ref RE_SPLIT: Regex = Regex::new(r"\s*[–—\-]\s*").unwrap();
+        static ref RE_PAREN: Regex = Regex::new(r"[（(]([^）)]*)[）)]").unwrap();
+        static ref RE_TRAILING: Regex = Regex::new(r"[\s.,;:，。；：\-–—]+$").unwrap();
+        static ref RE_EN_SUFFIX: Regex = Regex::new(r"^([\u{4e00}-\u{9fff}]+)([A-Za-z].*)$").unwrap();
+        static ref RE_CHINESE: Regex = Regex::new(r"[\u{4e00}-\u{9fff}]").unwrap();
+        static ref RE_WORD: Regex = Regex::new(r"[a-zA-Z0-9\u{4e00}-\u{9fff}]+").unwrap();
+
+        static ref STOP_SET: HashSet<&'static str> = {
+            let mut s = HashSet::new();
+            for w in STOP_WORDS { s.insert(*w); }
+            s
+        };
+
+        static ref EXCLUDED_LOWER: HashSet<String> = {
+            let mut s = HashSet::new();
+            for n in EXCLUDED_NAMES { s.insert(n.to_lowercase()); }
+            s
+        };
+    }
+
+    /// 清理标题末尾
+    pub fn clean_title_suffix(title: &str) -> String {
+        RE_PHOTOS.replace(title, "").trim().to_string()
+    }
+
+    /// 从标题提取人名
+    pub fn extract_person_name(title: &str) -> Option<String> {
+        let clean = clean_title_suffix(title);
+        if clean.is_empty() {
+            return None;
+        }
+
+        // cosplay 格式
+        if let Some(caps) = RE_COSPLAY_BY.captures(&clean) {
+            return Some(caps[2].trim().to_string());
+        }
+        if let Some(caps) = RE_COSPLAY.captures(&clean) {
+            return Some(caps[1].trim().to_string());
+        }
+
+        // 移除工作室前缀
+        let no_studio = RE_BRACKET.replace(&clean, "").trim().to_string();
+
+        // 移除模特称呼前缀
+        let mut no_prefix = no_studio;
+        for prefix in MODEL_PREFIXES {
+            if no_prefix.starts_with(prefix) {
+                no_prefix = no_prefix[prefix.len()..].trim().to_string();
+                break;
+            }
+        }
+
+        // 移除编号前缀
+        let no_prefix = RE_NUMBER_PREFIX.replace(&no_prefix, "").trim().to_string();
+
+        // 用分隔符拆分
+        let parts: Vec<&str> = RE_SPLIT.splitn(&no_prefix, 2).collect();
+        if parts.len() >= 2 {
+            let name = parts[0].trim();
+            let name = RE_PHOTOS.replace(name, "").trim().to_string();
+            if !name.is_empty() && name.len() >= 2 {
+                return Some(name);
+            }
+        }
+
+        // 没有分隔符
+        let name = RE_PHOTOS.replace(&no_prefix, "").trim().to_string();
+        if name.len() >= 2 {
+            Some(name)
+        } else {
+            None
+        }
+    }
+
+    /// 清洗人名
+    pub fn clean_person_name(raw_name: &str) -> (String, Vec<(String, String)>) {
+        let mut aliases = Vec::new();
+        let mut name = raw_name.to_string();
+
+        // 移除前缀
+        for prefix in MODEL_PREFIXES {
+            if name.starts_with(prefix) {
+                aliases.push(("prefix".to_string(), prefix.to_string()));
+                name = name[prefix.len()..].trim().to_string();
+                break;
+            }
+        }
+
+        // 移除括号内容
+        let mut cleaned = String::new();
+        let mut last_end = 0;
+        for cap in RE_PAREN.captures_iter(&name) {
+            let m = cap.get(0).unwrap();
+            let content = cap.get(1).map_or("", |c| c.as_str());
+            cleaned.push_str(&name[last_end..m.start()]);
+            last_end = m.end();
+            if !content.is_empty() {
+                if RE_CHINESE.is_match(content) {
+                    aliases.push(("nickname".to_string(), content.to_string()));
+                } else {
+                    aliases.push(("english".to_string(), content.to_string()));
+                }
+            }
+        }
+        cleaned.push_str(&name[last_end..]);
+        let name = cleaned.trim().to_string();
+
+        // 清理末尾标点
+        let name = RE_TRAILING.replace(&name, "").trim().to_string();
+
+        // 提取英文名别名
+        if let Some(caps) = RE_EN_SUFFIX.captures(&name) {
+            let chinese = caps[1].to_string();
+            let english = caps[2].trim().to_string();
+            if !english.is_empty() {
+                aliases.push(("chinese".to_string(), chinese));
+                aliases.push(("english".to_string(), english));
+            }
+        }
+
+        let name = if name.is_empty() { raw_name.to_string() } else { name };
+        (name, aliases)
+    }
+
+    /// 从标题提取标签
+    pub fn extract_tags(title: &str, person_name: Option<&str>) -> Vec<(String, String)> {
+        let mut clean = clean_title_suffix(title);
+
+        // 移除人名
+        if let Some(name) = person_name {
+            clean = clean.replace(name, " ");
+            for part in name.split_whitespace() {
+                clean = clean.replace(part, " ");
+            }
+        }
+
+        // 移除工作室前缀
+        clean = RE_BRACKET.replace(&clean, "").trim().to_string();
+
+        let mut tags = Vec::new();
+        let mut seen = HashSet::new();
+
+        for cap in RE_WORD.find_iter(&clean) {
+            let word = cap.as_str().trim();
+            if word.len() < 2 { continue; }
+            let word_lower = word.to_lowercase();
+            if STOP_SET.contains(word_lower.as_str()) { continue; }
+            if word.chars().all(|c| c.is_ascii_digit() || c == '.') { continue; }
+            if !seen.insert(word_lower.clone()) { continue; }
+
+            let tag_type = if RE_CHINESE.is_match(word) { "chinese" } else { "english" };
+            tags.push((word.to_lowercase(), tag_type.to_string()));
+        }
+
+        tags
+    }
+
+    /// 判断是否为排除名
+    pub fn is_excluded(name: &str) -> bool {
+        EXCLUDED_LOWER.contains(&name.to_lowercase())
+    }
+}
+
+// ============================================================
+// 数据模型
+// ============================================================
+
+#[derive(Debug, Default)]
+struct MigrationStats {
+    persons_imported: i64,
+    persons_skipped: i64,
+    persons_created: i64,
+    aliases_imported: i64,
+    albums_processed: i64,
+    albums_missing: i64,
+    tags_imported: i64,
+    person_albums_created: i64,
+}
+
+#[derive(Debug, Clone)]
+struct OldAlbum {
+    id: String,
+    title: String,
+    image_count: i64,
+    person_name_original: Option<String>,
+    person_name_cleaned: Option<String>,
+    tags: Option<String>,
+    all_words: Option<String>,
+}
+
+#[derive(Debug, Clone)]
+struct OldPerson {
+    id: i64,
+    name: String,
+    display_name: Option<String>,
+    total_albums: i64,
+    total_images: i64,
+    original_names: Option<String>,
+}
+
+// ============================================================
+// 迁移器
+// ============================================================
+
+struct Migrator {
+    old_pool: SqlitePool,
+    new_pool: SqlitePool,
+    stats: MigrationStats,
+}
+
+impl Migrator {
+    async fn new(old_db_path: &str, new_db_path: &str) -> Result<Self, String> {
+        if !Path::new(old_db_path).exists() {
+            return Err(format!("老数据库不存在: {}", old_db_path));
+        }
+
+        // 创建新数据库目录
+        if let Some(parent) = Path::new(new_db_path).parent() {
+            if !parent.as_os_str().is_empty() && !parent.exists() {
+                std::fs::create_dir_all(parent).map_err(|e| format!("创建目录失败: {}", e))?;
+            }
+        }
+
+        println!("[连接] 老数据库: {}", old_db_path);
+        let old_pool = SqlitePoolOptions::new()
+            .max_connections(1)
+            .connect(&format!("sqlite:{}", old_db_path))
+            .await
+            .map_err(|e| format!("连接老数据库失败: {}", e))?;
+
+        println!("[连接] 新数据库: {}", new_db_path);
+        let new_pool = SqlitePoolOptions::new()
+            .max_connections(5)
+            .connect(&format!("sqlite:{}", new_db_path))
+            .await
+            .map_err(|e| format!("连接新数据库失败: {}", e))?;
+
+        // SQLite 性能优化
+        for p in [&new_pool] {
+            sqlx::query("PRAGMA journal_mode=WAL;").execute(p).await.ok();
+            sqlx::query("PRAGMA synchronous=NORMAL;").execute(p).await.ok();
+            sqlx::query("PRAGMA foreign_keys=ON;").execute(p).await.ok();
+        }
+
+        Ok(Self { old_pool, new_pool, stats: MigrationStats::default() })
+    }
+
+    async fn init_new_schema(&self) -> Result<(), String> {
+        println!("[Schema] 初始化新数据库表结构...");
+
+        let schema_sql = include_str!("../migrations/001_initial.sql");
+        for stmt in schema_sql.split(';') {
+            let stmt = stmt.trim();
+            if !stmt.is_empty() {
+                sqlx::query(stmt).execute(&self.new_pool).await
+                    .map_err(|e| format!("执行 Schema 失败: {}", e))?;
+            }
+        }
+
+        let schema_sql2 = include_str!("../migrations/002_metadata.sql");
+        for stmt in schema_sql2.split(';') {
+            let stmt = stmt.trim();
+            if !stmt.is_empty() {
+                sqlx::query(stmt).execute(&self.new_pool).await
+                    .map_err(|e| format!("执行 Schema2 失败: {}", e))?;
+            }
+        }
+
+        println!("[Schema] 表结构初始化完成");
+        Ok(())
+    }
+
+    async fn read_old_albums(&self) -> Result<Vec<OldAlbum>, String> {
+        println!("[读取] 从老数据库读取相册...");
+        let rows = sqlx::query(
+            "SELECT id, title, image_count, person_name_original, person_name_cleaned, tags, all_words
+             FROM albums ORDER BY image_count DESC"
+        ).fetch_all(&self.old_pool).await.map_err(|e| format!("读取相册失败: {}", e))?;
+
+        let albums: Vec<OldAlbum> = rows.iter().map(|r| OldAlbum {
+            id: r.get("id"),
+            title: r.get("title"),
+            image_count: r.get::<Option<i64>, _>("image_count").unwrap_or(0),
+            person_name_original: r.get("person_name_original"),
+            person_name_cleaned: r.get("person_name_cleaned"),
+            tags: r.get("tags"),
+            all_words: r.get("all_words"),
+        }).collect();
+
+        println!("[读取] 共读取 {} 个相册", albums.len());
+        Ok(albums)
+    }
+
+    async fn read_old_persons(&self) -> Result<Vec<OldPerson>, String> {
+        println!("[读取] 从老数据库读取人物...");
+        let rows = sqlx::query(
+            "SELECT id, name, display_name, total_albums, total_images, original_names
+             FROM persons ORDER BY total_albums DESC"
+        ).fetch_all(&self.old_pool).await.map_err(|e| format!("读取人物失败: {}", e))?;
+
+        let persons: Vec<OldPerson> = rows.iter().map(|r| OldPerson {
+            id: r.get("id"),
+            name: r.get("name"),
+            display_name: r.get("display_name"),
+            total_albums: r.get::<Option<i64>, _>("total_albums").unwrap_or(0),
+            total_images: r.get::<Option<i64>, _>("total_images").unwrap_or(0),
+            original_names: r.get("original_names"),
+        }).collect();
+
+        println!("[读取] 共读取 {} 个人物", persons.len());
+        Ok(persons)
+    }
+
+    async fn read_old_aliases(&self) -> Result<Vec<(i64, String, String)>, String> {
+        let rows = sqlx::query(
+            "SELECT person_id, alias_type, alias_name FROM person_aliases"
+        ).fetch_all(&self.old_pool).await.unwrap_or_default();
+
+        let aliases: Vec<(i64, String, String)> = rows.iter().map(|r| (
+            r.get("person_id"), r.get("alias_type"), r.get("alias_name")
+        )).collect();
+
+        println!("[读取] 共读取 {} 个别名", aliases.len());
+        Ok(aliases)
+    }
+
+    async fn read_old_person_albums(&self) -> Result<Vec<(i64, String)>, String> {
+        let rows = sqlx::query(
+            "SELECT person_id, album_id FROM person_albums"
+        ).fetch_all(&self.old_pool).await.unwrap_or_default();
+
+        let links: Vec<(i64, String)> = rows.iter().map(|r| (
+            r.get("person_id"), r.get("album_id")
+        )).collect();
+
+        println!("[读取] 共读取 {} 个人物-相册关联", links.len());
+        Ok(links)
+    }
+
+    async fn migrate(&mut self, reparse: bool) -> Result<(), String> {
+        self.init_new_schema().await?;
+
+        // 读取老数据
+        let old_albums = self.read_old_albums().await?;
+        let old_persons = self.read_old_persons().await?;
+        let old_aliases = self.read_old_aliases().await?;
+        let old_links = self.read_old_person_albums().await?;
+
+        let mut old_to_new_person: HashMap<i64, i64> = HashMap::new();
+
+        // Step 1: 迁移人物
+        println!("\n[迁移] 步骤 1/5: 迁移人物...");
+        for p in &old_persons {
+            if title_parser::is_excluded(&p.name) {
+                self.stats.persons_skipped += 1;
+                continue;
+            }
+
+            sqlx::query(
+                "INSERT OR IGNORE INTO persons (name, display_name, total_albums, total_images, original_names)
+                 VALUES (?, ?, ?, ?, ?)"
+            ).bind(&p.name).bind(p.display_name.as_deref().unwrap_or(&p.name))
+             .bind(p.total_albums).bind(p.total_images).bind(p.original_names.as_deref())
+             .execute(&self.new_pool).await.ok();
+
+            let new_id: i64 = sqlx::query_scalar("SELECT id FROM persons WHERE name = ?")
+                .bind(&p.name).fetch_one(&self.new_pool).await.unwrap_or(0);
+
+            if new_id > 0 {
+                old_to_new_person.insert(p.id, new_id);
+                self.stats.persons_imported += 1;
+            }
+        }
+        println!("[迁移]   导入 {} 人，跳过 {} 人", self.stats.persons_imported, self.stats.persons_skipped);
+
+        // Step 2: 迁移别名
+        println!("\n[迁移] 步骤 2/5: 迁移别名...");
+        for (old_pid, alias_type, alias_name) in &old_aliases {
+            if let Some(&new_pid) = old_to_new_person.get(old_pid) {
+                sqlx::query(
+                    "INSERT OR IGNORE INTO person_aliases (person_id, alias_type, alias_name) VALUES (?, ?, ?)"
+                ).bind(new_pid).bind(alias_type).bind(alias_name)
+                 .execute(&self.new_pool).await.ok();
+                self.stats.aliases_imported += 1;
+            }
+        }
+        println!("[迁移]   导入 {} 个别名", self.stats.aliases_imported);
+
+        // Step 3: 迁移相册 + 解析title
+        println!(
+            "\n[迁移] 步骤 3/5: 迁移相册并解析title ({})...",
+            if reparse { "重新解析" } else { "保留原解析" }
+        );
+
+        let mut person_map: HashMap<String, i64> = HashMap::new();
+
+        for (i, album) in old_albums.iter().enumerate() {
+            if (i + 1) % 200 == 0 {
+                println!("  处理进度: {}/{}", i + 1, old_albums.len());
+            }
+
+            let (person_orig, person_cleaned, tags, all_words) =
+                if reparse || album.person_name_cleaned.as_deref().unwrap_or("").is_empty() {
+                    // 重新解析
+                    let person_name = title_parser::extract_person_name(&album.title);
+                    let (cleaned, _aliases) = match &person_name {
+                        Some(n) => {
+                            let (c, a) = title_parser::clean_person_name(n);
+                            if title_parser::is_excluded(&c) {
+                                (None, a)
+                            } else {
+                                (Some(c), a)
+                            }
+                        }
+                        None => (None, Vec::new()),
+                    };
+
+                    let tags_raw = title_parser::extract_tags(&album.title, person_name.as_deref());
+                    let tag_names: Vec<String> = tags_raw.iter().map(|(t, _)| t.clone()).collect();
+                    let all_words: Vec<[String; 2]> = tags_raw.iter()
+                        .map(|(t, tp)| [t.clone(), tp.clone()]).collect();
+
+                    (
+                        person_name,
+                        cleaned,
+                        serde_json::to_string(&tag_names).unwrap_or_else(|_| "[]".to_string()),
+                        serde_json::to_string(&all_words).unwrap_or_else(|_| "[]".to_string()),
+                    )
+                } else {
+                    (
+                        album.person_name_original.clone(),
+                        album.person_name_cleaned.clone(),
+                        album.tags.clone().unwrap_or_else(|| "[]".to_string()),
+                        album.all_words.clone().unwrap_or_else(|| "[]".to_string()),
+                    )
+                };
+
+            // 写入相册
+            sqlx::query(
+                "INSERT OR REPLACE INTO albums
+                 (id, title, image_count, person_name_original, person_name_cleaned,
+                  tags, all_words, raw_title, processed_at)
+                 VALUES (?, ?, ?, ?, ?, ?, ?, ?, datetime('now'))"
+            ).bind(&album.id).bind(&album.title).bind(album.image_count)
+             .bind(person_orig.as_deref()).bind(person_cleaned.as_deref())
+             .bind(&tags).bind(&all_words).bind(&album.title)
+             .execute(&self.new_pool).await.ok();
+
+            // 写入标签索引
+            if let Ok(tag_list) = serde_json::from_str::<Vec<String>>(&tags) {
+                if !tag_list.is_empty() {
+                    for tag in &tag_list {
+                        sqlx::query(
+                            "INSERT OR IGNORE INTO album_tags (album_id, tag) VALUES (?, ?)"
+                        ).bind(&album.id).bind(tag).execute(&self.new_pool).await.ok();
+                    }
+                    self.stats.tags_imported += 1;
+                }
+            }
+
+            // 关联人物
+            if let Some(pc) = &person_cleaned {
+                if !pc.is_empty() && !title_parser::is_excluded(pc) {
+                    let pid = if let Some(&id) = person_map.get(pc) {
+                        id
+                    } else {
+                        // 查找或创建
+                        let existing: Option<i64> = sqlx::query_scalar(
+                            "SELECT id FROM persons WHERE name = ?"
+                        ).bind(pc).fetch_optional(&self.new_pool).await.unwrap_or(None);
+
+                        let id = if let Some(eid) = existing {
+                            eid
+                        } else {
+                            sqlx::query("INSERT INTO persons (name, display_name) VALUES (?, ?)")
+                                .bind(pc).bind(pc).execute(&self.new_pool).await.ok();
+                            self.stats.persons_created += 1;
+                            sqlx::query_scalar::<_, i64>("SELECT last_insert_rowid()")
+                                .fetch_one(&self.new_pool).await.unwrap_or(0)
+                        };
+                        person_map.insert(pc.clone(), id);
+                        id
+                    };
+
+                    if pid > 0 {
+                        sqlx::query(
+                            "INSERT OR IGNORE INTO person_albums (person_id, album_id) VALUES (?, ?)"
+                        ).bind(pid).bind(&album.id).execute(&self.new_pool).await.ok();
+                    }
+                }
+            }
+
+            self.stats.albums_processed += 1;
+        }
+
+        println!(
+            "[迁移]   处理 {} 个相册，{} 个标签导入，{} 个人物从title创建",
+            self.stats.albums_processed, self.stats.tags_imported, self.stats.persons_created
+        );
+
+        // Step 4: 迁移人物-相册关联
+        println!("\n[迁移] 步骤 4/5: 迁移人物-相册关联...");
+        for (old_pid, album_id) in &old_links {
+            if let Some(&new_pid) = old_to_new_person.get(old_pid) {
+                sqlx::query(
+                    "INSERT OR IGNORE INTO person_albums (person_id, album_id) VALUES (?, ?)"
+                ).bind(new_pid).bind(album_id).execute(&self.new_pool).await.ok();
+                self.stats.person_albums_created += 1;
+            }
+        }
+        println!("[迁移]   导入 {} 个关联", self.stats.person_albums_created);
+
+        // Step 5: 更新人物统计
+        println!("\n[迁移] 步骤 5/5: 更新人物统计...");
+        let person_ids: Vec<i64> = sqlx::query_scalar("SELECT id FROM persons")
+            .fetch_all(&self.new_pool).await.unwrap_or_default();
+
+        for pid in &person_ids {
+            sqlx::query(
+                "UPDATE persons SET
+                    total_albums = (SELECT COUNT(*) FROM person_albums WHERE person_id = ?),
+                    total_images = (
+                        SELECT COALESCE(SUM(a.image_count), 0)
+                        FROM albums a JOIN person_albums pa ON a.id = pa.album_id
+                        WHERE pa.person_id = ?
+                    ),
+                    updated_at = datetime('now')
+                 WHERE id = ?"
+            ).bind(pid).bind(pid).bind(pid).execute(&self.new_pool).await.ok();
+        }
+        println!("[迁移]   更新 {} 个人物统计", person_ids.len());
+
+        Ok(())
+    }
+
+    async fn print_stats(&self) {
+        let stats = self.get_new_stats().await;
+        println!("\n  新数据库统计:");
+        println!("    相册数:     {}", stats.total_albums);
+        println!("    图片数:     {}", stats.total_images);
+        println!("    人物数:     {}", stats.total_persons);
+        println!("    别名数:     {}", stats.total_aliases);
+        println!("    标签数:     {}", stats.unique_tags);
+        println!("    有标签相册: {}", stats.albums_with_tags);
+        println!("    有人物相册: {}", stats.albums_with_person);
+    }
+
+    async fn get_new_stats(&self) -> NewDbStats {
+        NewDbStats {
+            total_albums: sqlx::query_scalar("SELECT COUNT(*) FROM albums")
+                .fetch_one(&self.new_pool).await.unwrap_or(0),
+            total_images: sqlx::query_scalar("SELECT COALESCE(SUM(image_count), 0) FROM albums")
+                .fetch_one(&self.new_pool).await.unwrap_or(0),
+            total_persons: sqlx::query_scalar("SELECT COUNT(*) FROM persons")
+                .fetch_one(&self.new_pool).await.unwrap_or(0),
+            total_aliases: sqlx::query_scalar("SELECT COUNT(*) FROM person_aliases")
+                .fetch_one(&self.new_pool).await.unwrap_or(0),
+            unique_tags: sqlx::query_scalar("SELECT COUNT(DISTINCT tag) FROM album_tags")
+                .fetch_one(&self.new_pool).await.unwrap_or(0),
+            albums_with_tags: sqlx::query_scalar(
+                "SELECT COUNT(*) FROM albums WHERE tags IS NOT NULL AND tags != '[]'"
+            ).fetch_one(&self.new_pool).await.unwrap_or(0),
+            albums_with_person: sqlx::query_scalar(
+                "SELECT COUNT(*) FROM albums WHERE person_name_cleaned IS NOT NULL AND person_name_cleaned != ''"
+            ).fetch_one(&self.new_pool).await.unwrap_or(0),
+        }
+    }
+}
+
+#[derive(Debug)]
+struct NewDbStats {
+    total_albums: i64,
+    total_images: i64,
+    total_persons: i64,
+    total_aliases: i64,
+    unique_tags: i64,
+    albums_with_tags: i64,
+    albums_with_person: i64,
+}
+
+// ============================================================
+// 搜索验证器
+// ============================================================
+
+struct SearchVerifier {
+    pool: SqlitePool,
+}
+
+impl SearchVerifier {
+    async fn new(db_path: &str) -> Result<Self, String> {
+        let pool = SqlitePoolOptions::new()
+            .max_connections(2)
+            .connect(&format!("sqlite:{}", db_path))
+            .await
+            .map_err(|e| format!("连接数据库失败: {}", e))?;
+        Ok(Self { pool })
+    }
+
+    async fn verify_all(&self) {
+        println!("\n{}", "=".repeat(60));
+        println!("  🔍 搜索功能验证 (Rust 实现)");
+        println!("{}", "=".repeat(60));
+
+        // 1. 热门人物
+        println!("\n[验证1] 热门人物 (Top 10):");
+        let top_persons: Vec<(String, i64, i64)> = sqlx::query(
+            "SELECT name, total_albums, total_images FROM persons ORDER BY total_albums DESC LIMIT 10"
+        ).fetch_all(&self.pool).await.unwrap_or_default()
+         .iter().map(|r| (r.get("name"), r.get("total_albums"), r.get("total_images"))).collect();
+
+        for (i, (name, albums, images)) in top_persons.iter().enumerate() {
+            println!("  {:2d}. {:<25} {:4} 相册, {:5} 张图片", i + 1, name, albums, images);
+        }
+
+        // 2. 热门标签
+        println!("\n[验证2] 热门标签 (Top 20):");
+        let top_tags: Vec<(String, i64, i64)> = sqlx::query(
+            "SELECT tag, COUNT(*) as cnt, COUNT(DISTINCT album_id) as album_cnt
+             FROM album_tags GROUP BY tag ORDER BY cnt DESC LIMIT 20"
+        ).fetch_all(&self.pool).await.unwrap_or_default()
+         .iter().map(|r| (r.get("tag"), r.get::<i64, _>("cnt"), r.get::<i64, _>("album_cnt"))).collect();
+
+        for (i, (tag, cnt, album_cnt)) in top_tags.iter().enumerate() {
+            println!("  {:2d}. {:<20} 出现 {:4} 次, {:4} 个相册", i + 1, tag, cnt, album_cnt);
+        }
+
+        // 3. 人物搜索
+        if let Some((test_person, _, _)) = top_persons.first() {
+            println!("\n[验证3] 人物搜索: \"{}\"", test_person);
+            let like = format!("%{}%", test_person);
+            let results: Vec<(String, i64)> = sqlx::query(
+                "SELECT DISTINCT p.name, p.total_albums FROM persons p
+                 LEFT JOIN person_aliases pa ON pa.person_id = p.id
+                 WHERE p.name LIKE ? OR pa.alias_name LIKE ?
+                 ORDER BY p.total_albums DESC LIMIT 5"
+            ).bind(&like).bind(&like).fetch_all(&self.pool).await.unwrap_or_default()
+             .iter().map(|r| (r.get("name"), r.get("total_albums"))).collect();
+
+            for (name, albums) in &results {
+                println!("  - {} ({} 相册)", name, albums);
+            }
+
+            // 4. 人物相册
+            println!("\n[验证4] 人物相册: \"{}\" (前5个)", test_person);
+            let person_albums: Vec<(i64, String)> = sqlx::query(
+                "SELECT a.image_count, a.title FROM albums a
+                 JOIN person_albums pa ON pa.album_id = a.id
+                 JOIN persons p ON p.id = pa.person_id
+                 WHERE p.name = ? ORDER BY a.image_count DESC LIMIT 5"
+            ).bind(test_person).fetch_all(&self.pool).await.unwrap_or_default()
+             .iter().map(|r| (r.get("image_count"), r.get("title"))).collect();
+
+            for (ic, title) in &person_albums {
+                let short: String = title.chars().take(60).collect();
+                println!("  - [{:3}张] {}", ic, short);
+            }
+        }
+
+        // 5. 标签搜索
+        if let Some((test_tag, _, _)) = top_tags.first() {
+            println!("\n[验证5] 标签搜索: \"{}\" (前5个)", test_tag);
+            let tag_albums: Vec<(i64, String)> = sqlx::query(
+                "SELECT a.image_count, a.title FROM albums a
+                 JOIN album_tags t ON t.album_id = a.id
+                 WHERE t.tag = ? ORDER BY a.image_count DESC LIMIT 5"
+            ).bind(test_tag).fetch_all(&self.pool).await.unwrap_or_default()
+             .iter().map(|r| (r.get("image_count"), r.get("title"))).collect();
+
+            for (ic, title) in &tag_albums {
+                let short: String = title.chars().take(60).collect();
+                println!("  - [{:3}张] {}", ic, short);
+            }
+        }
+
+        // 6. 标题搜索
+        println!("\n[验证6] 标题搜索: \"性感\" (前5个)");
+        let like = "%性感%".to_string();
+        let title_albums: Vec<(i64, String)> = sqlx::query(
+            "SELECT image_count, title FROM albums WHERE title LIKE ? ORDER BY image_count DESC LIMIT 5"
+        ).bind(&like).fetch_all(&self.pool).await.unwrap_or_default()
+         .iter().map(|r| (r.get("image_count"), r.get("title"))).collect();
+
+        for (ic, title) in &title_albums {
+            let short: String = title.chars().take(60).collect();
+            println!("  - [{:3}张] {}", ic, short);
+        }
+
+        println!("\n{}", "=".repeat(60));
+        println!("  ✅ 搜索功能验证完成！");
+        println!("{}", "=".repeat(60));
+    }
+}
+
+// ============================================================
+// CLI 入口
+// ============================================================
+
+#[derive(Debug, clap::Parser)]
+#[command(name = "migrate", about = "数据库迁移工具 (Rust 实现)")]
+struct Cli {
+    /// 老数据库路径
+    #[arg(long, default_value = "../yolov8_face_recognition/persons.db")]
+    old_db: String,
+
+    /// 新数据库路径
+    #[arg(long, default_value = "./data/imager.db")]
+    new_db: String,
+
+    /// 重新解析所有 title
+    #[arg(long)]
+    reparse: bool,
+
+    /// 迁移后验证搜索功能
+    #[arg(long)]
+    verify: bool,
+
+    /// 仅验证搜索功能 (不执行迁移)
+    #[arg(long)]
+    verify_only: bool,
+}
+
+#[tokio::main]
+async fn main() -> Result<(), String> {
+    // 检查是否有 clap
+    let args: Vec<String> = std::env::args().collect();
+
+    let mut old_db = "../yolov8_face_recognition/persons.db".to_string();
+    let mut new_db = "./data/imager.db".to_string();
+    let mut reparse = false;
+    let mut verify = false;
+    let mut verify_only = false;
+
+    let mut i = 1;
+    while i < args.len() {
+        match args[i].as_str() {
+            "--old-db" => { i += 1; if i < args.len() { old_db = args[i].clone(); } }
+            "--new-db" => { i += 1; if i < args.len() { new_db = args[i].clone(); } }
+            "--reparse" => reparse = true,
+            "--verify" => verify = true,
+            "--verify-only" => verify_only = true,
+            "--help" | "-h" => {
+                println!("数据库迁移工具 (Rust 实现)");
+                println!();
+                println!("用法: cargo run --bin migrate -- [选项]");
+                println!();
+                println!("选项:");
+                println!("  --old-db <路径>    老数据库路径 (默认: ../yolov8_face_recognition/persons.db)");
+                println!("  --new-db <路径>    新数据库路径 (默认: ./data/imager.db)");
+                println!("  --reparse           重新解析所有 title");
+                println!("  --verify            迁移后验证搜索功能");
+                println!("  --verify-only       仅验证搜索功能 (不执行迁移)");
+                println!("  --help, -h          显示帮助");
+                return Ok(());
+            }
+            _ => {}
+        }
+        i += 1;
+    }
+
+    let start = Instant::now();
+
+    // 仅验证模式
+    if verify_only {
+        if !Path::new(&new_db).exists() {
+            return Err(format!("数据库不存在: {}", new_db));
+        }
+        let verifier = SearchVerifier::new(&new_db).await?;
+        verifier.verify_all().await;
+        return Ok(());
+    }
+
+    println!("{}", "=".repeat(60));
+    println!("  🚀 数据库迁移工具 (Rust 原生实现)");
+    println!("{}", "=".repeat(60));
+
+    // 执行迁移
+    let mut migrator = Migrator::new(&old_db, &new_db).await?;
+    migrator.migrate(reparse).await?;
+
+    println!("\n{}", "=".repeat(60));
+    println!("  ✅ 迁移完成！用时: {:.2?}", start.elapsed());
+    println!("{}", "=".repeat(60));
+    migrator.print_stats().await;
+
+    // 验证搜索
+    if verify {
+        let verifier = SearchVerifier::new(&new_db).await?;
+        verifier.verify_all().await;
+    }
+
+    Ok(())
+}
diff --git a/src/cache/mod.rs b/src/cache/mod.rs
new file mode 100644
index 0000000..a58db5f
--- /dev/null
+++ b/src/cache/mod.rs
@@ -0,0 +1,132 @@
+//! 缓存层 — 内存缓存管理
+
+use crate::models::*;
+use std::collections::HashMap;
+use std::sync::Arc;
+use tokio::sync::RwLock;
+use tracing::info;
+
+/// 相册缓存
+#[derive(Debug, Clone)]
+pub struct AlbumsCache {
+    pub albums: Vec<AlbumInfo>,
+    pub search_index: HashMap<String, Vec<AlbumInfo>>,
+    pub last_updated: chrono::DateTime<chrono::Utc>,
+}
+
+impl AlbumsCache {
+    pub fn new() -> Self {
+        Self { albums: Vec::new(), search_index: HashMap::new(), last_updated: chrono::Utc::now() }
+    }
+
+    pub fn is_expired(&self) -> bool {
+        (chrono::Utc::now() - self.last_updated).num_minutes() >= 30
+    }
+
+    pub fn update(&mut self, albums: Vec<AlbumInfo>) {
+        self.search_index.clear();
+        for album in &albums {
+            let title_lower = album.title.to_lowercase();
+            for word in title_lower.split_whitespace() {
+                if word.len() >= 2 {
+                    self.search_index.entry(word.to_string()).or_default().push(album.clone());
+                }
+            }
+            self.search_index.entry(title_lower).or_default().push(album.clone());
+        }
+        self.albums = albums;
+        self.last_updated = chrono::Utc::now();
+        info!("相册缓存已更新，共 {} 个相册，{} 个搜索索引项", self.albums.len(), self.search_index.len());
+    }
+
+    pub fn search(&self, query: &str) -> Vec<AlbumInfo> {
+        let q = query.to_lowercase().trim().to_string();
+        if q.is_empty() { return Vec::new(); }
+
+        let mut seen = std::collections::HashSet::new();
+        let mut results = Vec::new();
+
+        // 1. 完整匹配
+        if let Some(matches) = self.search_index.get(&q) {
+            for album in matches {
+                if seen.insert(album.id) { results.push(album.clone()); }
+            }
+        }
+        // 2. 单词匹配
+        for word in q.split_whitespace() {
+            if word.len() >= 2 {
+                if let Some(matches) = self.search_index.get(word) {
+                    for album in matches {
+                        if seen.insert(album.id) { results.push(album.clone()); }
+                    }
+                }
+            }
+        }
+        // 3. 模糊搜索
+        if results.is_empty() {
+            for album in &self.albums {
+                let tl = album.title.to_lowercase();
+                if tl.contains(&q) {
+                    if seen.insert(album.id) { results.push(album.clone()); }
+                }
+            }
+        }
+        // 4. 部分匹配
+        if results.is_empty() && q.len() >= 2 {
+            for album in &self.albums {
+                let tl = album.title.to_lowercase();
+                if q.split_whitespace().any(|w| w.len() >= 2 && tl.contains(w)) {
+                    if seen.insert(album.id) { results.push(album.clone()); }
+                }
+            }
+        }
+        results
+    }
+}
+
+/// 标签缓存
+#[derive(Debug, Clone, Default)]
+pub struct TagCache {
+    pub popular_tags: Vec<TagStat>,
+    pub last_updated: chrono::DateTime<chrono::Utc>,
+}
+
+impl TagCache {
+    pub fn update(&mut self, tags: Vec<TagStat>) {
+        self.popular_tags = tags;
+        self.last_updated = chrono::Utc::now();
+        info!("标签缓存已更新，共 {} 个热门标签", self.popular_tags.len());
+    }
+}
+
+/// 人物缓存
+#[derive(Debug, Clone, Default)]
+pub struct PersonCache {
+    pub persons: Vec<PersonWithCounts>,
+    pub last_updated: chrono::DateTime<chrono::Utc>,
+}
+
+impl PersonCache {
+    pub fn update(&mut self, persons: Vec<PersonWithCounts>) {
+        self.persons = persons;
+        self.last_updated = chrono::Utc::now();
+        info!("人物缓存已更新，共 {} 人", self.persons.len());
+    }
+}
+
+/// 共享缓存
+pub struct AppCache {
+    pub albums: Arc<RwLock<AlbumsCache>>,
+    pub tags: Arc<RwLock<TagCache>>,
+    pub persons: Arc<RwLock<PersonCache>>,
+}
+
+impl AppCache {
+    pub fn new() -> Self {
+        Self {
+            albums: Arc::new(RwLock::new(AlbumsCache::new())),
+            tags: Arc::new(RwLock::new(TagCache::default())),
+            persons: Arc::new(RwLock::new(PersonCache::default())),
+        }
+    }
+}
\ No newline at end of file
diff --git a/src/db/album.rs b/src/db/album.rs
new file mode 100644
index 0000000..3e05928
--- /dev/null
+++ b/src/db/album.rs
@@ -0,0 +1,132 @@
+use super::Database;
+use crate::models::*;
+use sqlx::Row;
+use uuid::Uuid;
+
+impl Database {
+    // ── 查询 ──
+
+    pub async fn get_all_albums(&self) -> Result<Vec<AlbumInfo>, sqlx::Error> {
+        let rows = sqlx::query(
+            r#"SELECT id, title, document, description, cover_image_id, image_count, created_at
+               FROM albums ORDER BY created_at DESC"#
+        ).fetch_all(&self.pool).await?;
+
+        Ok(rows.iter().map(|r| {
+            let id_str = r.get::<String, _>("id");
+            AlbumInfo {
+                id: Uuid::parse_str(&id_str).unwrap_or_else(|_| Uuid::nil()),
+                title: r.get("title"),
+                document: r.get("document"),
+                description: r.get("description"),
+                cover_image_id: r.get("cover_image_id"),
+                image_count: r.get("image_count"),
+                created_at: r.get("created_at"),
+            }
+        }).collect())
+    }
+
+    pub async fn get_album_with_images(&self, album_id: Uuid) -> Result<Option<AlbumWithImages>, sqlx::Error> {
+        let row = sqlx::query("SELECT * FROM albums WHERE id = ?")
+            .bind(album_id.to_string())
+            .fetch_optional(&self.pool).await?;
+
+        let Some(row) = row else { return Ok(None) };
+
+        let id_str = row.get::<String, _>("id");
+        let id = Uuid::parse_str(&id_str).unwrap_or_else(|_| Uuid::nil());
+        let cover = row.get::<Option<String>, _>("cover_image_id")
+            .and_then(|s| Uuid::parse_str(&s).ok());
+
+        let album = Album {
+            id,
+            title: row.get("title"),
+            description: row.get("description"),
+            cover_image_id: cover,
+            image_count: row.get("image_count"),
+            created_at: row.get("created_at"),
+            updated_at: row.get("updated_at"),
+            person_name_cleaned: row.get("person_name_cleaned"),
+            tags: row.get("tags"),
+        };
+
+        let img_rows = sqlx::query("SELECT * FROM images WHERE album_id = ?")
+            .bind(album_id.to_string()).fetch_all(&self.pool).await?;
+
+        let mut images = Vec::new();
+        for r in &img_rows {
+            let img_id = Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil());
+            let aid = Uuid::parse_str(&r.get::<String, _>("album_id")).unwrap_or_else(|_| Uuid::nil());
+            images.push(super::image::Image {
+                id: img_id, album_id: aid,
+                filename: r.get("filename"),
+                original_url: r.get("original_url"),
+                title: r.get("title"),
+                description: r.get("description"),
+                file_size: r.get("file_size"),
+                width: r.get("width"),
+                height: r.get("height"),
+                mime_type: r.get("mime_type"),
+                created_at: r.get("created_at"),
+            });
+        }
+
+        Ok(Some(AlbumWithImages { album, images: images.clone(), image_count: images.len() as i64 }))
+    }
+
+    pub async fn get_all_albums_full(&self) -> Vec<AlbumMeta> {
+        let has_col = sqlx::query_scalar::<_, i64>(
+            "SELECT COUNT(*) FROM pragma_table_info('albums') WHERE name = 'person_name_original'"
+        ).fetch_one(&self.pool).await.unwrap_or(0);
+        if has_col == 0 { return Vec::new(); }
+
+        let rows = sqlx::query(
+            r#"SELECT id, title, person_name_original, person_name_cleaned, tags, all_words, raw_title, processed_at, image_count
+               FROM albums ORDER BY created_at DESC"#
+        ).fetch_all(&self.pool).await.unwrap_or_default();
+
+        rows.iter().map(|r| AlbumMeta {
+            id: r.get("id"), title: r.get("title"),
+            person_name_original: r.get("person_name_original"),
+            person_name_cleaned: r.get("person_name_cleaned"),
+            tags: r.get("tags"), all_words: r.get("all_words"),
+            raw_title: r.get("raw_title"), processed_at: r.get("processed_at"),
+            image_count: r.get("image_count"),
+        }).collect()
+    }
+
+    // ── 写入 ──
+
+    pub async fn create_album(&self, album: CreateAlbum) -> Result<Uuid, sqlx::Error> {
+        let id = Uuid::new_v4();
+        let now = chrono::Utc::now().to_rfc3339();
+        sqlx::query(
+            "INSERT INTO albums (id, title, document, description, image_count, created_at, updated_at) VALUES (?, ?, ?, ?, 0, ?, ?)"
+        ).bind(id.to_string()).bind(album.title).bind(album.document).bind(album.description).bind(&now).bind(&now)
+        .execute(&self.pool).await?;
+        Ok(id)
+    }
+
+    pub async fn delete_album(&self, album_id: Uuid) -> Result<(), sqlx::Error> {
+        sqlx::query("DELETE FROM albums WHERE id = ?").bind(album_id.to_string()).execute(&self.pool).await?;
+        Ok(())
+    }
+
+    pub async fn update_album_cover(&self, album_id: Uuid, image_id: Uuid) -> Result<(), sqlx::Error> {
+        sqlx::query("UPDATE albums SET cover_image_id = ? WHERE id = ?")
+            .bind(image_id.to_string()).bind(album_id.to_string()).execute(&self.pool).await?;
+        Ok(())
+    }
+
+    pub async fn update_album_image_count(&self, album_id: Uuid) -> Result<(), sqlx::Error> {
+        sqlx::query(
+            r#"UPDATE albums SET image_count = (SELECT COUNT(*) FROM images WHERE album_id = ?), updated_at = datetime('now') WHERE id = ?"#
+        ).bind(album_id.to_string()).bind(album_id.to_string()).execute(&self.pool).await?;
+        Ok(())
+    }
+
+    pub async fn get_album_image_count(&self, album_id: Uuid) -> Result<i64, sqlx::Error> {
+        sqlx::query_scalar::<_, i64>("SELECT COUNT(*) FROM images WHERE album_id = ?")
+            .bind(album_id.to_string()).fetch_one(&self.pool).await
+    }
+}
\ No newline at end of file
diff --git a/src/db/connection.rs b/src/db/connection.rs
new file mode 100644
index 0000000..e164da2
--- /dev/null
+++ b/src/db/connection.rs
@@ -0,0 +1,63 @@
+use sqlx::{SqlitePool, sqlite::SqlitePoolOptions};
+use crate::config::Config;
+
+pub struct Database {
+    pub pool: SqlitePool,
+    pub config: Config,
+}
+
+impl Database {
+    pub async fn new(config: &Config) -> Result<Self, sqlx::Error> {
+        let url = &config.database.url;
+        let file_path = if url.starts_with("sqlite:") { &url[7..] } else { url };
+
+        if let Some(parent) = std::path::Path::new(file_path).parent() {
+            if !parent.exists() {
+                std::fs::create_dir_all(parent)?;
+            }
+        }
+        if !std::path::Path::new(file_path).exists() {
+            std::fs::File::create(file_path)?;
+            println!("创建新的数据库文件: {}", file_path);
+        }
+
+        let pool = SqlitePoolOptions::new()
+            .max_connections(10)
+            .min_connections(2)
+            .acquire_timeout(std::time::Duration::from_secs(5))
+            .idle_timeout(std::time::Duration::from_secs(300))
+            .max_lifetime(std::time::Duration::from_secs(1800))
+            .connect(url)
+            .await?;
+
+        // SQLite 性能优化
+        sqlx::query("PRAGMA journal_mode=WAL;").execute(&pool).await?;
+        sqlx::query("PRAGMA wal_autocheckpoint=4000;").execute(&pool).await?;
+        sqlx::query("PRAGMA synchronous=NORMAL;").execute(&pool).await?;
+        sqlx::query("PRAGMA cache_size=-64000;").execute(&pool).await?;
+        sqlx::query("PRAGMA mmap_size=268435456;").execute(&pool).await?;
+        sqlx::query("PRAGMA temp_store=MEMORY;").execute(&pool).await?;
+        sqlx::query("PRAGMA foreign_keys=ON;").execute(&pool).await?;
+
+        sqlx::migrate!("./migrations").run(&pool).await?;
+
+        let db = Database { pool, config: config.clone() };
+        db.ensure_image_count_field().await?;
+        Ok(db)
+    }
+
+    /// 确保 image_count 字段存在
+    async fn ensure_image_count_field(&self) -> Result<(), sqlx::Error> {
+        let has_col = sqlx::query_scalar::<_, i64>(
+            "SELECT COUNT(*) FROM pragma_table_info('albums') WHERE name = 'image_count'"
+        ).fetch_one(&self.pool).await.unwrap_or(0);
+
+        if has_col == 0 {
+            sqlx::query("ALTER TABLE albums ADD COLUMN image_count INTEGER DEFAULT 0").execute(&self.pool).await?;
+            println!("✅ image_count 字段已添加");
+        } else {
+            println!("ℹ️  image_count字段已存在，跳过初始化");
+        }
+        Ok(())
+    }
+}
\ No newline at end of file
diff --git a/src/db/favorite.rs b/src/db/favorite.rs
new file mode 100644
index 0000000..9c5efe7
--- /dev/null
+++ b/src/db/favorite.rs
@@ -0,0 +1,67 @@
+use super::Database;
+use crate::models::*;
+use sqlx::Row;
+use uuid::Uuid;
+
+impl Database {
+    pub async fn get_user_favorites(&self, user_id: &str) -> Result<Vec<FavoriteWithImage>, sqlx::Error> {
+        let rows = sqlx::query(
+            r#"SELECT f.id, f.user_id, f.image_id, f.album_id, f.created_at,
+                      i.album_id as img_album_id, i.filename, i.original_url, i.title, i.description,
+                      i.file_size, i.width, i.height, i.mime_type, i.created_at as img_created_at,
+                      a.title as album_title
+               FROM favorites f
+               JOIN images i ON f.image_id = i.id
+               JOIN albums a ON f.album_id = a.id
+               WHERE f.user_id = ? ORDER BY f.created_at DESC"#
+        ).bind(user_id).fetch_all(&self.pool).await?;
+
+        Ok(rows.iter().map(|r| {
+            let fav_id = Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil());
+            let img_id = Uuid::parse_str(&r.get::<String, _>("image_id")).unwrap_or_else(|_| Uuid::nil());
+            let aid = Uuid::parse_str(&r.get::<String, _>("album_id")).unwrap_or_else(|_| Uuid::nil());
+            let img_aid = Uuid::parse_str(&r.get::<String, _>("img_album_id")).unwrap_or_else(|_| Uuid::nil());
+            FavoriteWithImage {
+                favorite: Favorite { id: fav_id, user_id: r.get("user_id"), image_id: img_id, album_id: aid, created_at: r.get("created_at") },
+                image: crate::models::image::Image {
+                    id: img_id, album_id: img_aid,
+                    filename: r.get("filename"), original_url: r.get("original_url"),
+                    title: r.get("title"), description: r.get("description"),
+                    file_size: r.get("file_size"), width: r.get("width"),
+                    height: r.get("height"), mime_type: r.get("mime_type"),
+                    created_at: r.get("img_created_at"),
+                },
+                album_title: r.get("album_title"),
+            }
+        }).collect())
+    }
+
+    pub async fn get_favorite_status(&self, user_id: &str, image_id: Uuid) -> Result<FavoriteStatus, sqlx::Error> {
+        let row = sqlx::query("SELECT id FROM favorites WHERE user_id = ? AND image_id = ?")
+            .bind(user_id).bind(image_id.to_string()).fetch_optional(&self.pool).await?;
+        Ok(FavoriteStatus {
+            is_favorited: row.is_some(),
+            favorite_id: row.map(|r| Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil())),
+        })
+    }
+
+    pub async fn add_favorite(&self, user_id: &str, fav: CreateFavorite) -> Result<Uuid, sqlx::Error> {
+        let id = Uuid::new_v4();
+        let now = chrono::Utc::now().to_rfc3339();
+        sqlx::query("INSERT INTO favorites (id, user_id, image_id, album_id, created_at) VALUES (?, ?, ?, ?, ?)")
+            .bind(id.to_string()).bind(user_id).bind(fav.image_id.to_string()).bind(fav.album_id.to_string()).bind(&now)
+            .execute(&self.pool).await?;
+        Ok(id)
+    }
+
+    pub async fn remove_favorite(&self, favorite_id: Uuid) -> Result<(), sqlx::Error> {
+        sqlx::query("DELETE FROM favorites WHERE id = ?").bind(favorite_id.to_string()).execute(&self.pool).await?;
+        Ok(())
+    }
+
+    pub async fn remove_favorite_by_image(&self, user_id: &str, image_id: Uuid) -> Result<(), sqlx::Error> {
+        sqlx::query("DELETE FROM favorites WHERE user_id = ? AND image_id = ?")
+            .bind(user_id).bind(image_id.to_string()).execute(&self.pool).await?;
+        Ok(())
+    }
+}
\ No newline at end of file
diff --git a/src/db/image.rs b/src/db/image.rs
new file mode 100644
index 0000000..90e1269
--- /dev/null
+++ b/src/db/image.rs
@@ -0,0 +1,74 @@
+use super::Database;
+use crate::models::*;
+use sqlx::Row;
+use uuid::Uuid;
+
+/// 重新导出用于 cross-module access
+pub use crate::models::image::Image;
+
+impl Database {
+    pub async fn add_images(&self, images: Vec<CreateImage>) -> Result<Vec<Uuid>, sqlx::Error> {
+        if images.is_empty() { return Ok(Vec::new()); }
+        let now = chrono::Utc::now().to_rfc3339();
+        let mut ids = Vec::new();
+        let first_album_id = images.first().map(|img| img.album_id);
+
+        for img in &images {
+            let id = Uuid::new_v4();
+            sqlx::query(
+                "INSERT INTO images (id, album_id, filename, original_url, title, description, file_size, width, height, mime_type, created_at) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"
+            ).bind(id.to_string()).bind(img.album_id.to_string()).bind(&img.filename)
+             .bind(&img.original_url).bind(&img.title).bind(&img.description)
+             .bind(img.file_size).bind(img.width).bind(img.height).bind(&img.mime_type).bind(&now)
+            .execute(&self.pool).await?;
+            ids.push(id);
+        }
+
+        if let Some(aid) = first_album_id {
+            self.update_album_image_count(aid).await?;
+            let count = sqlx::query_scalar::<_, i64>("SELECT COUNT(*) FROM images WHERE album_id = ?")
+                .bind(aid.to_string()).fetch_one(&self.pool).await?;
+            if count == images.len() as i64 {
+                self.update_album_cover(aid, ids[0]).await?;
+            }
+        }
+        Ok(ids)
+    }
+
+    pub async fn get_image(&self, image_id: Uuid) -> Result<Option<Image>, sqlx::Error> {
+        let row = sqlx::query("SELECT * FROM images WHERE id = ?")
+            .bind(image_id.to_string()).fetch_optional(&self.pool).await?;
+        let Some(r) = row else { return Ok(None) };
+        Ok(Some(Image {
+            id: image_id,
+            album_id: Uuid::parse_str(&r.get::<String, _>("album_id")).unwrap_or_else(|_| Uuid::nil()),
+            filename: r.get("filename"),
+            original_url: r.get("original_url"),
+            title: r.get("title"),
+            description: r.get("description"),
+            file_size: r.get("file_size"),
+            width: r.get("width"),
+            height: r.get("height"),
+            mime_type: r.get("mime_type"),
+            created_at: r.get("created_at"),
+        }))
+    }
+
+    pub async fn get_unprocessed_images(&self, limit: i64) -> Result<Vec<Image>, sqlx::Error> {
+        let rows = sqlx::query("SELECT * FROM images WHERE file_size > 0 LIMIT ?")
+            .bind(limit).fetch_all(&self.pool).await?;
+        Ok(rows.iter().map(|r| Image {
+            id: Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil()),
+            album_id: Uuid::parse_str(&r.get::<String, _>("album_id")).unwrap_or_else(|_| Uuid::nil()),
+            filename: r.get("filename"),
+            original_url: r.get("original_url"),
+            title: r.get("title"),
+            description: r.get("description"),
+            file_size: r.get("file_size"),
+            width: r.get("width"),
+            height: r.get("height"),
+            mime_type: r.get("mime_type"),
+            created_at: r.get("created_at"),
+        }).collect())
+    }
+}
\ No newline at end of file
diff --git a/src/db/metadata.rs b/src/db/metadata.rs
new file mode 100644
index 0000000..3c48ea8
--- /dev/null
+++ b/src/db/metadata.rs
@@ -0,0 +1,203 @@
+use super::Database;
+use crate::models::*;
+use sqlx::Row;
+use uuid::Uuid;
+
+impl Database {
+    // ── 人员查询 ──
+
+    pub async fn get_all_person_names(&self) -> Vec<(String, i64)> {
+        sqlx::query("SELECT p.name, p.total_albums FROM persons p ORDER BY p.total_albums DESC")
+            .fetch_all(&self.pool).await.unwrap_or_default()
+            .iter().map(|r| (r.get::<String, _>("name"), r.get::<i64, _>("total_albums"))).collect()
+    }
+
+    pub async fn get_all_aliases(&self) -> Vec<(String, String)> {
+        sqlx::query("SELECT a.alias_name, p.name as person_name FROM person_aliases a JOIN persons p ON a.person_id = p.id")
+            .fetch_all(&self.pool).await.unwrap_or_default()
+            .iter().map(|r| (r.get::<String, _>("alias_name"), r.get::<String, _>("person_name"))).collect()
+    }
+
+    pub async fn get_all_persons_with_counts(&self) -> Vec<(i64, String, i64, i64)> {
+        sqlx::query("SELECT id, name, total_albums, total_images FROM persons ORDER BY total_albums DESC")
+            .fetch_all(&self.pool).await.unwrap_or_default()
+            .iter().map(|r| (r.get::<i64, _>("id"), r.get::<String, _>("name"), r.get::<i64, _>("total_albums"), r.get::<i64, _>("total_images"))).collect()
+    }
+
+    pub async fn get_person_by_name(&self, name: &str) -> Option<Person> {
+        let r = sqlx::query("SELECT * FROM persons WHERE name = ?").bind(name).fetch_optional(&self.pool).await.ok()??;
+        Some(Person {
+            id: r.get("id"), name: r.get("name"), display_name: r.get("display_name"),
+            total_albums: r.get("total_albums"), total_images: r.get("total_images"),
+            original_names: r.get("original_names"), created_at: r.get("created_at"), updated_at: r.get("updated_at"),
+        })
+    }
+
+    pub async fn get_person_albums(&self, person_id: i64) -> Vec<AlbumInfo> {
+        sqlx::query(
+            r#"SELECT a.id, a.title, a.document, a.description, a.cover_image_id, a.image_count, a.created_at
+               FROM albums a JOIN person_albums pa ON a.id = pa.album_id WHERE pa.person_id = ? ORDER BY a.created_at DESC"#
+        ).bind(person_id).fetch_all(&self.pool).await.unwrap_or_default()
+        .iter().map(|r| AlbumInfo {
+            id: Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil()),
+            title: r.get("title"), document: r.get("document"),
+            description: r.get("description"), cover_image_id: r.get("cover_image_id"),
+            image_count: r.get("image_count"), created_at: r.get("created_at"),
+        }).collect()
+    }
+
+    pub async fn get_person_aliases(&self, person_id: i64) -> Vec<PersonAlias> {
+        sqlx::query("SELECT * FROM person_aliases WHERE person_id = ?").bind(person_id)
+            .fetch_all(&self.pool).await.unwrap_or_default()
+            .iter().map(|r| PersonAlias {
+                id: r.get("id"), person_id: r.get("person_id"),
+                alias_type: r.get("alias_type"), alias_name: r.get("alias_name"),
+                created_at: r.get("created_at"),
+            }).collect()
+    }
+
+    pub async fn search_persons(&self, query: &str) -> Vec<PersonWithCounts> {
+        let pattern = format!("%{}%", query);
+        let rows = sqlx::query(
+            r#"SELECT DISTINCT p.id, p.name, p.display_name, p.total_albums, p.total_images
+               FROM persons p LEFT JOIN person_aliases a ON p.id = a.person_id
+               WHERE p.name LIKE ? OR a.alias_name LIKE ? ORDER BY p.total_albums DESC"#
+        ).bind(&pattern).bind(&pattern).fetch_all(&self.pool).await.unwrap_or_default();
+
+        let mut results = Vec::new();
+        for r in &rows {
+            let pid = r.get::<i64, _>("id");
+            let aliases = self.get_person_aliases(pid).await;
+            results.push(PersonWithCounts {
+                id: pid, name: r.get("name"), display_name: r.get("display_name"),
+                total_albums: r.get("total_albums"), total_images: r.get("total_images"),
+                aliases: aliases.into_iter().map(|a| a.alias_name).collect(),
+            });
+        }
+        results
+    }
+
+    pub async fn get_all_persons_with_aliases(&self) -> Vec<PersonWithCounts> {
+        let rows = sqlx::query("SELECT id, name, display_name, total_albums, total_images FROM persons ORDER BY total_albums DESC")
+            .fetch_all(&self.pool).await.unwrap_or_default();
+        let mut results = Vec::new();
+        for r in &rows {
+            let pid = r.get::<i64, _>("id");
+            let aliases = self.get_person_aliases(pid).await;
+            results.push(PersonWithCounts {
+                id: pid, name: r.get("name"), display_name: r.get("display_name"),
+                total_albums: r.get("total_albums"), total_images: r.get("total_images"),
+                aliases: aliases.into_iter().map(|a| a.alias_name).collect(),
+            });
+        }
+        results
+    }
+
+    // ── 标签查询 ──
+
+    pub async fn get_popular_tags(&self, limit: i64) -> Vec<TagStat> {
+        sqlx::query(
+            r#"SELECT tag, COUNT(*) as cnt, COUNT(DISTINCT album_id) as album_cnt
+               FROM album_tags GROUP BY tag ORDER BY cnt DESC LIMIT ?"#
+        ).bind(limit).fetch_all(&self.pool).await.unwrap_or_default()
+        .iter().map(|r| TagStat {
+            tag: r.get("tag"), count: r.get("cnt"), album_count: r.get("album_cnt"),
+        }).collect()
+    }
+
+    pub async fn get_tag_co_occurrences(&self, tag: &str, limit: i64) -> Vec<TagCoOccurrence> {
+        let rows = sqlx::query(
+            r#"SELECT t2.tag as co_tag, COUNT(*) as cnt
+               FROM album_tags t1 JOIN album_tags t2 ON t1.album_id = t2.album_id
+               WHERE t1.tag = ? AND t2.tag != ? GROUP BY t2.tag ORDER BY cnt DESC LIMIT ?"#
+        ).bind(tag).bind(tag).bind(limit).fetch_all(&self.pool).await.unwrap_or_default();
+
+        let total = sqlx::query_scalar::<_, i64>("SELECT COUNT(*) FROM album_tags WHERE tag = ?")
+            .bind(tag).fetch_one(&self.pool).await.unwrap_or(1);
+        rows.iter().map(|r| {
+            let cnt: i64 = r.get("cnt");
+            TagCoOccurrence {
+                tag: tag.to_string(), co_tag: r.get("co_tag"),
+                count: cnt, score: cnt as f64 / total as f64,
+            }
+        }).collect()
+    }
+
+    pub async fn search_albums_by_tag(&self, tag: &str) -> Vec<AlbumInfo> {
+        sqlx::query(
+            r#"SELECT a.id, a.title, a.document, a.description, a.cover_image_id, a.image_count, a.created_at
+               FROM albums a JOIN album_tags t ON a.id = t.album_id WHERE t.tag = ? ORDER BY a.created_at DESC"#
+        ).bind(tag).fetch_all(&self.pool).await.unwrap_or_default()
+        .iter().map(|r| AlbumInfo {
+            id: Uuid::parse_str(&r.get::<String, _>("id")).unwrap_or_else(|_| Uuid::nil()),
+            title: r.get("title"), document: r.get("document"),
+            description: r.get("description"), cover_image_id: r.get("cover_image_id"),
+            image_count: r.get("image_count"), created_at: r.get("created_at"),
+        }).collect()
+    }
+
+    // ── 统计 ──
+
+    pub async fn get_metadata_stats(&self) -> MetadataStats {
+        MetadataStats {
+            total_persons: sqlx::query_scalar("SELECT COUNT(*) FROM persons").fetch_one(&self.pool).await.unwrap_or(0),
+            total_aliases: sqlx::query_scalar("SELECT COUNT(*) FROM person_aliases").fetch_one(&self.pool).await.unwrap_or(0),
+            total_albums_with_person: sqlx::query_scalar("SELECT COUNT(*) FROM albums WHERE person_name_original IS NOT NULL AND person_name_original != ''").fetch_one(&self.pool).await.unwrap_or(0),
+            total_albums_without_person: sqlx::query_scalar("SELECT COUNT(*) FROM albums WHERE person_name_original IS NULL OR person_name_original = ''").fetch_one(&self.pool).await.unwrap_or(0),
+            total_tags: sqlx::query_scalar("SELECT COUNT(*) FROM album_tags").fetch_one(&self.pool).await.unwrap_or(0),
+        }
+    }
+
+    // ── 写入 ──
+
+    pub async fn insert_person(&self, name: &str, display_name: Option<&str>) -> i64 {
+        if let Some(p) = self.get_person_by_name(name).await { return p.id; }
+        sqlx::query("INSERT OR IGNORE INTO persons (name, display_name) VALUES (?, ?)")
+            .bind(name).bind(display_name).execute(&self.pool).await.ok();
+        self.get_person_by_name(name).await.map(|p| p.id).unwrap_or(0)
+    }
+
+    pub async fn insert_person_alias(&self, person_id: i64, alias_type: &str, alias_name: &str) {
+        sqlx::query("INSERT OR IGNORE INTO person_aliases (person_id, alias_type, alias_name) VALUES (?, ?, ?)")
+            .bind(person_id).bind(alias_type).bind(alias_name).execute(&self.pool).await.ok();
+    }
+
+    pub async fn insert_person_album(&self, person_id: i64, album_id: &str) {
+        sqlx::query("INSERT OR IGNORE INTO person_albums (person_id, album_id) VALUES (?, ?)")
+            .bind(person_id).bind(album_id).execute(&self.pool).await.ok();
+    }
+
+    pub async fn delete_person_albums(&self, person_id: i64) {
+        sqlx::query("DELETE FROM person_albums WHERE person_id = ?").bind(person_id).execute(&self.pool).await.ok();
+    }
+
+    pub async fn update_album_person(&self, album_id: &str, person_name_original: &str, person_name_cleaned: &str) {
+        sqlx::query("UPDATE albums SET person_name_original = ?, person_name_cleaned = ?, processed_at = datetime('now') WHERE id = ?")
+            .bind(person_name_original).bind(person_name_cleaned).bind(album_id).execute(&self.pool).await.ok();
+    }
+
+    pub async fn update_album_tags(&self, album_id: &str, tags_json: &str, all_words_json: &str) {
+        sqlx::query("UPDATE albums SET tags = ?, all_words = ?, processed_at = datetime('now') WHERE id = ?")
+            .bind(tags_json).bind(all_words_json).bind(album_id).execute(&self.pool).await.ok();
+        sqlx::query("DELETE FROM album_tags WHERE album_id = ?").bind(album_id).execute(&self.pool).await.ok();
+        if let Ok(tags) = serde_json::from_str::<Vec<String>>(tags_json) {
+            for tag in &tags {
+                sqlx::query("INSERT OR IGNORE INTO album_tags (album_id, tag) VALUES (?, ?)")
+                    .bind(album_id).bind(tag).execute(&self.pool).await.ok();
+            }
+        }
+    }
+
+    pub async fn update_person_counts(&self, person_id: i64) {
+        sqlx::query(
+            r#"UPDATE persons SET total_albums = (SELECT COUNT(*) FROM person_albums WHERE person_id = ?),
+               total_images = (SELECT COALESCE(SUM(a.image_count), 0) FROM albums a JOIN person_albums pa ON a.id = pa.album_id WHERE pa.person_id = ?),
+               updated_at = datetime('now') WHERE id = ?"#
+        ).bind(person_id).bind(person_id).bind(person_id).execute(&self.pool).await.ok();
+    }
+
+    /// 获取所有相册 ID 集合（用于迁移）
+    pub async fn get_all_album_ids(&self) -> Vec<String> {
+        sqlx::query_scalar::<_, String>("SELECT id FROM albums").fetch_all(&self.pool).await.unwrap_or_default()
+    }
+}
\ No newline at end of file
diff --git a/src/db/migration.rs b/src/db/migration.rs
new file mode 100644
index 0000000..69c9660
--- /dev/null
+++ b/src/db/migration.rs
@@ -0,0 +1,161 @@
+//! 从老数据库（Python 项目 persons.db）迁移元数据到新数据库
+//!
+//! 迁移策略：
+//! 1. 读取老 DB 的 persons/aliases/albums 数据
+//! 2. 按 album_id 对齐新 DB 中的相册
+//! 3. 批量插入人员、别名、标签、关联
+
+use super::Database;
+use sqlx::sqlite::SqlitePoolOptions;
+use sqlx::Row;
+
+/// 迁移结果统计
+#[derive(Debug, Default)]
+pub struct MigrationStats {
+    pub persons_imported: usize,
+    pub persons_skipped: usize,
+    pub aliases_imported: usize,
+    pub albums_updated: usize,
+    pub albums_missing: usize,
+    pub tags_imported: usize,
+    pub person_albums_created: usize,
+}
+
+impl Database {
+    /// 从老数据库迁移元数据
+    pub async fn migrate_from_old_db(&self, old_db_path: &str) -> Result<MigrationStats, String> {
+        if !std::path::Path::new(old_db_path).exists() {
+            return Err(format!("老数据库不存在: {}", old_db_path));
+        }
+
+        println!("[迁移] 打开老数据库: {}", old_db_path);
+        let old_pool = SqlitePoolOptions::new()
+            .max_connections(1)
+            .connect(&format!("sqlite:{}", old_db_path))
+            .await
+            .map_err(|e| format!("连接老数据库失败: {}", e))?;
+
+        // 先获取新 DB 中所有相册 ID
+        let new_album_ids: std::collections::HashSet<String> = self.get_all_album_ids().await.into_iter().collect();
+        println!("[迁移] 新数据库中有 {} 个相册", new_album_ids.len());
+
+        let mut stats = MigrationStats::default();
+
+        // ── 1. 迁移人员 ──
+        println!("[迁移] 步骤 1/4: 迁移人员...");
+        let old_persons: Vec<(i64, String, Option<String>, i64, i64, Option<String>)> = sqlx::query(
+            "SELECT id, name, display_name, total_albums, total_images, original_names FROM persons"
+        ).fetch_all(&old_pool).await.map_err(|e| format!("读取老人员失败: {}", e))?
+        .iter().map(|r| (
+            r.get("id"), r.get("name"), r.get("display_name"),
+            r.get("total_albums"), r.get("total_images"), r.get("original_names"),
+        )).collect();
+
+        let mut old_to_new_person: std::collections::HashMap<i64, i64> = std::collections::HashMap::new();
+
+        for (old_pid, name, display_name, _albums, _images, original_names) in &old_persons {
+            let new_pid = self.insert_person(name, display_name.as_deref()).await;
+            if new_pid > 0 {
+                old_to_new_person.insert(*old_pid, new_pid);
+                // 更新 original_names
+                if let Some(on) = original_names {
+                    sqlx::query("UPDATE persons SET original_names = ? WHERE id = ?")
+                        .bind(on).bind(new_pid).execute(&self.pool).await.ok();
+                }
+                stats.persons_imported += 1;
+            } else {
+                stats.persons_skipped += 1;
+            }
+        }
+        println!("[迁移]   导入 {} 人，跳过 {} 人", stats.persons_imported, stats.persons_skipped);
+
+        // ── 2. 迁移别名 ──
+        println!("[迁移] 步骤 2/4: 迁移别名...");
+        let old_aliases: Vec<(i64, String, String)> = sqlx::query(
+            "SELECT person_id, alias_type, alias_name FROM person_aliases"
+        ).fetch_all(&old_pool).await.unwrap_or_default()
+        .iter().map(|r| (r.get("person_id"), r.get("alias_type"), r.get("alias_name"))).collect();
+
+        for (old_pid, alias_type, alias_name) in &old_aliases {
+            if let Some(&new_pid) = old_to_new_person.get(old_pid) {
+                self.insert_person_alias(new_pid, alias_type, alias_name).await;
+                stats.aliases_imported += 1;
+            }
+        }
+        println!("[迁移]   导入 {} 个别名", stats.aliases_imported);
+
+        // ── 3. 迁移相册人员标签 ──
+        println!("[迁移] 步骤 3/4: 迁移相册人员+标签...");
+        let old_albums: Vec<(String, Option<String>, Option<String>, Option<String>, Option<String>, Option<String>)> = sqlx::query(
+            "SELECT id, title, person_name_original, person_name_cleaned, tags, all_words FROM albums"
+        ).fetch_all(&old_pool).await.unwrap_or_default()
+        .iter().map(|r| (
+            r.get("id"), r.get("title"), r.get("person_name_original"),
+            r.get("person_name_cleaned"), r.get("tags"), r.get("all_words"),
+        )).collect();
+
+        for (album_id, _title, person_orig, person_cleaned, tags, all_words) in &old_albums {
+            if !new_album_ids.contains(album_id) {
+                stats.albums_missing += 1;
+                continue;
+            }
+
+            // 更新人员信息
+            if let (Some(po), Some(pc)) = (person_orig, person_cleaned) {
+                if !po.is_empty() {
+                    self.update_album_person(album_id, po, pc).await;
+                    stats.albums_updated += 1;
+                }
+            }
+
+            // 更新标签
+            if let Some(t) = tags {
+                if t != "[]" && !t.is_empty() {
+                    let aw = all_words.clone().unwrap_or_else(|| "[]".to_string());
+                    self.update_album_tags(album_id, t, &aw).await;
+                    stats.tags_imported += 1;
+                }
+            }
+        }
+        println!("[迁移]   更新 {} 个相册，{} 个不在新库中，{} 个标签导入",
+            stats.albums_updated, stats.albums_missing, stats.tags_imported);
+
+        // ── 4. 迁移人物-相册关联 ──
+        println!("[迁移] 步骤 4/4: 迁移人物-相册关联...");
+        let old_person_albums: Vec<(i64, String)> = sqlx::query(
+            "SELECT person_id, album_id FROM person_albums"
+        ).fetch_all(&old_pool).await.unwrap_or_default()
+        .iter().map(|r| (r.get("person_id"), r.get("album_id"))).collect();
+
+        for (old_pid, album_id) in &old_person_albums {
+            if let Some(&new_pid) = old_to_new_person.get(old_pid) {
+                if new_album_ids.contains(album_id) {
+                    self.insert_person_album(new_pid, album_id).await;
+                    stats.person_albums_created += 1;
+                }
+            }
+        }
+        println!("[迁移]   创建 {} 个关联", stats.person_albums_created);
+
+        // 更新所有人员的计数
+        println!("[迁移] 更新人员统计...");
+        for &new_pid in old_to_new_person.values() {
+            self.update_person_counts(new_pid).await;
+        }
+
+        println!("[迁移] ✅ 完成！");
+        Ok(stats)
+    }
+
+    /// 获取迁移统计摘要
+    pub fn migration_summary(&self, stats: &MigrationStats) -> String {
+        format!(
+            "迁移完成:\n  - 人员: {} 导入, {} 跳过\n  - 别名: {} 导入\n  - 相册: {} 更新, {} 缺失\n  - 标签: {} 导入\n  - 关联: {} 创建",
+            stats.persons_imported, stats.persons_skipped,
+            stats.aliases_imported,
+            stats.albums_updated, stats.albums_missing,
+            stats.tags_imported,
+            stats.person_albums_created,
+        )
+    }
+}
\ No newline at end of file
diff --git a/src/db/mod.rs b/src/db/mod.rs
new file mode 100644
index 0000000..937d9e3
--- /dev/null
+++ b/src/db/mod.rs
@@ -0,0 +1,15 @@
+//! 数据库操作层 — 按领域拆分
+
+mod connection;
+pub mod album;
+pub mod image;
+pub mod favorite;
+pub mod metadata;
+pub mod migration;
+
+pub use connection::Database;
+pub use album::*;
+pub use image::*;
+pub use favorite::*;
+pub use metadata::*;
+pub use migration::MigrationStats;
\ No newline at end of file
diff --git a/src/engine/crawler.rs b/src/engine/crawler.rs
new file mode 100644
index 0000000..ee15a8d
--- /dev/null
+++ b/src/engine/crawler.rs
@@ -0,0 +1,176 @@
+//! API 数据获取
+//! 从 http://192.168.1.100:4500 获取相册和图片数据
+//! 对应 Python 的 fetch_from_api.py
+
+use serde::Deserialize;
+use std::time::Duration;
+
+/// 从 API 获取的相册信息
+#[derive(Debug, Clone, Deserialize)]
+pub struct ApiAlbum {
+    pub id: String,
+    pub title: String,
+    #[serde(default)]
+    pub image_count: i64,
+    #[serde(default)]
+    pub description: Option<String>,
+    #[serde(default)]
+    pub created_at: Option<String>,
+}
+
+/// 从 API 获取的图片详情
+#[derive(Debug, Clone, Deserialize)]
+pub struct ApiImage {
+    pub id: String,
+    #[serde(default)]
+    pub filename: Option<String>,
+    #[serde(default)]
+    pub original_url: Option<String>,
+    #[serde(default)]
+    pub url: Option<String>,
+    #[serde(default)]
+    pub width: Option<i32>,
+    #[serde(default)]
+    pub height: Option<i32>,
+    #[serde(default)]
+    pub file_size: Option<i64>,
+    #[serde(default)]
+    pub mime_type: Option<String>,
+}
+
+/// 相册详情（含图片列表）
+#[derive(Debug, Clone, Deserialize)]
+pub struct ApiAlbumDetail {
+    #[serde(default)]
+    pub images: Vec<ApiImage>,
+    #[serde(default)]
+    pub id: Option<String>,
+    #[serde(default)]
+    pub title: Option<String>,
+}
+
+/// API 数据获取器
+#[derive(Debug, Clone)]
+pub struct Crawler {
+    api_base: String,
+    client: reqwest::Client,
+}
+
+impl Crawler {
+    /// 创建 Crawler 实例
+    pub fn new(api_base: &str) -> Self {
+        let client = reqwest::Client::builder()
+            .timeout(Duration::from_secs(30))
+            .user_agent("imager-rs/1.0")
+            .build()
+            .expect("创建 HTTP 客户端失败");
+        Self {
+            api_base: api_base.trim_end_matches('/').to_string(),
+            client,
+        }
+    }
+
+    /// 获取所有相册列表
+    /// GET /api/albums
+    pub async fn get_albums(&self) -> Result<Vec<ApiAlbum>, Box<dyn std::error::Error>> {
+        let url = format!("{}/api/albums", self.api_base);
+        let resp = self.client.get(&url).send().await?;
+        let data: serde_json::Value = resp.json().await?;
+
+        let albums: Vec<ApiAlbum> = if let Some(arr) = data.as_array() {
+            serde_json::from_value(data)?
+        } else if let Some(arr) = data.get("albums").and_then(|v: &serde_json::Value| v.as_array()) {
+            serde_json::from_value(serde_json::Value::Array(arr.clone()))?
+        } else {
+            Vec::new()
+        };
+
+        Ok(albums)
+    }
+
+    /// 获取相册详情（含图片列表）
+    /// GET /api/album/{id}
+    pub async fn get_album_detail(&self, album_id: &str) -> Result<ApiAlbumDetail, Box<dyn std::error::Error>> {
+        let url = format!("{}/api/album/{}", self.api_base, album_id);
+        let resp = self.client.get(&url).send().await?;
+        let data: serde_json::Value = resp.json().await?;
+
+        let detail = if let Some(images) = data.get("images").and_then(|v: &serde_json::Value| v.as_array()) {
+            ApiAlbumDetail {
+                images: serde_json::from_value(serde_json::Value::Array(images.clone()))?,
+                id: data.get("id").and_then(|v: &serde_json::Value| v.as_str()).map(|s| s.to_string()),
+                title: data.get("title").and_then(|v: &serde_json::Value| v.as_str()).map(|s| s.to_string()),
+            }
+        } else if let Some(_arr) = data.as_array() {
+            ApiAlbumDetail {
+                images: serde_json::from_value(data)?,
+                id: None,
+                title: None,
+            }
+        } else {
+            ApiAlbumDetail {
+                images: Vec::new(),
+                id: None,
+                title: None,
+            }
+        };
+
+        Ok(detail)
+    }
+
+    /// 获取图片二进制数据
+    /// GET /api/image/{id}
+    pub async fn get_image_data(&self, image_id: &str) -> Result<Vec<u8>, Box<dyn std::error::Error>> {
+        let url = format!("{}/api/image/{}", self.api_base, image_id);
+        let resp = self.client.get(&url).send().await?;
+        let bytes = resp.bytes().await?;
+        Ok(bytes.to_vec())
+    }
+
+    /// 获取图片的下载 URL（不下载，只返回 URL 字符串）
+    pub fn get_image_url(&self, image_id: &str) -> String {
+        format!("{}/api/image/{}", self.api_base, image_id)
+    }
+
+    /// 获取多个相册的详情（批量）
+    pub async fn get_album_details_batch(
+        &self,
+        album_ids: &[String],
+    ) -> Result<Vec<(String, ApiAlbumDetail)>, Box<dyn std::error::Error>> {
+        let mut results = Vec::new();
+        for aid in album_ids {
+            match self.get_album_detail(aid).await {
+                Ok(detail) => results.push((aid.clone(), detail)),
+                Err(e) => {
+                    eprintln!("[Crawler] 获取相册 {} 详情失败: {}", aid, e);
+                }
+            }
+        }
+        Ok(results)
+    }
+
+    /// 获取所有相册详情（含图片）
+    pub async fn fetch_all_albums_with_images(
+        &self,
+    ) -> Result<Vec<(ApiAlbum, ApiAlbumDetail)>, Box<dyn std::error::Error>> {
+        let albums = self.get_albums().await?;
+        let mut results = Vec::new();
+
+        for album in &albums {
+            match self.get_album_detail(&album.id).await {
+                Ok(detail) => results.push((album.clone(), detail)),
+                Err(e) => {
+                    eprintln!("[Crawler] 获取相册 {} 详情失败: {}", album.id, e);
+                }
+            }
+        }
+
+        Ok(results)
+    }
+
+    /// 获取指定相册的图片列表（仅返回 id 列表）
+    pub async fn get_album_image_ids(&self, album_id: &str) -> Result<Vec<String>, Box<dyn std::error::Error>> {
+        let detail = self.get_album_detail(album_id).await?;
+        Ok(detail.images.into_iter().map(|img| img.id).collect())
+    }
+}
\ No newline at end of file
diff --git a/src/engine/mod.rs b/src/engine/mod.rs
new file mode 100644
index 0000000..b1714a9
--- /dev/null
+++ b/src/engine/mod.rs
@@ -0,0 +1,15 @@
+//! 核心引擎层 — 标题解析、人名匹配、标签提取、推荐计算
+
+pub mod title_parser;
+pub mod person_merger;
+pub mod tag_extractor;
+pub mod recommend;
+pub mod pipeline;
+pub mod crawler;
+
+pub use title_parser::*;
+pub use person_merger::*;
+pub use tag_extractor::*;
+pub use recommend::*;
+pub use pipeline::*;
+pub use crawler::*;
\ No newline at end of file
diff --git a/src/engine/person_merger.rs b/src/engine/person_merger.rs
new file mode 100644
index 0000000..16e8cb8
--- /dev/null
+++ b/src/engine/person_merger.rs
@@ -0,0 +1,383 @@
+//! 人名匹配与合并
+//! 对应 Python 的 match_person_from_title.py + merge_persons_by_core.py
+//! 所有函数均为 async，因为底层 Database 操作是异步的
+
+use crate::db::Database;
+use crate::engine::title_parser::{extract_cn, is_excluded_name};
+use std::collections::{HashMap, HashSet};
+
+/// 匹配模式
+#[derive(Debug, Clone)]
+pub struct Pattern {
+    pub text: String,
+    pub person_name: String,
+    pub source: String, // "name" | "alias"
+    pub length: usize,
+}
+
+/// 匹配结果
+#[derive(Debug, Clone)]
+pub struct MatchResult {
+    pub matched: bool,
+    pub method: String,
+    pub person: Option<String>,
+    pub matched_text: Option<String>,
+    pub all_persons: Vec<String>,
+    pub multi_person: bool,
+}
+
+/// 深度匹配结果
+#[derive(Debug, Clone)]
+pub struct DeepMatchResult {
+    pub matched: bool,
+    pub method: String, // "jieba_extract" | "exact_name_match" | "alias_fuzzy_match"
+    pub person: Option<String>,
+    pub matched_text: Option<String>,
+    pub all_persons: Vec<String>,
+    pub multi_person: bool,
+}
+
+// ── Pass1: 收集模式 ──
+
+/// 收集所有人名和别名，构建匹配模式列表
+/// 按长度降序排列，确保长名优先匹配
+pub async fn collect_person_patterns(db: &Database) -> Vec<Pattern> {
+    let mut patterns = Vec::new();
+
+    // 1. 收集所有人名
+    let rows = db.get_all_person_names().await;
+    for (name, _albums) in &rows {
+        if is_excluded_name(name) {
+            continue;
+        }
+        patterns.push(Pattern {
+            text: name.clone(),
+            person_name: name.clone(),
+            source: "name".to_string(),
+            length: name.len(),
+        });
+    }
+
+    // 2. 收集所有别名
+    let aliases = db.get_all_aliases().await;
+    for (alias_name, person_name) in &aliases {
+        if is_excluded_name(person_name) || is_excluded_name(alias_name) {
+            continue;
+        }
+        if alias_name != person_name {
+            patterns.push(Pattern {
+                text: alias_name.clone(),
+                person_name: person_name.clone(),
+                source: "alias".to_string(),
+                length: alias_name.len(),
+            });
+        }
+    }
+
+    // 3. 去重
+    let mut best_map: HashMap<String, Pattern> = HashMap::new();
+    for p in patterns {
+        let key = p.text.to_lowercase();
+        best_map.entry(key).or_insert(p);
+    }
+    let mut patterns: Vec<Pattern> = best_map.into_values().collect();
+
+    // 4. 按长度降序排列
+    patterns.sort_by(|a, b| b.length.cmp(&a.length));
+
+    patterns
+}
+
+/// Pass1: 简单子串匹配
+pub fn match_title(title: &str, patterns: &[Pattern]) -> Option<(String, String, String)> {
+    if title.is_empty() {
+        return None;
+    }
+
+    for p in patterns {
+        if p.text.len() < 2 {
+            continue;
+        }
+        if title.contains(&p.text) {
+            return Some((p.text.clone(), p.person_name.clone(), p.source.clone()));
+        }
+    }
+
+    None
+}
+
+/// Pass2: 深度匹配（多重策略）
+pub fn deep_match_title(
+    title: &str,
+    known_names: &HashSet<String>,
+    known_aliases: &HashSet<String>,
+) -> DeepMatchResult {
+    let mut result = DeepMatchResult {
+        matched: false,
+        method: String::new(),
+        person: None,
+        matched_text: None,
+        all_persons: Vec::new(),
+        multi_person: false,
+    };
+
+    if title.is_empty() {
+        return result;
+    }
+
+    let title_clean = title.trim();
+
+    // 策略1: 用正则提取人名
+    if let Some(extracted) = crate::engine::title_parser::extract_person_name_from_title(title_clean) {
+        if known_names.contains(&extracted) {
+            result.matched = true;
+            result.method = "jieba_extract".to_string();
+            result.person = Some(extracted.clone());
+            result.matched_text = Some(extracted);
+            return result;
+        }
+    }
+
+    // 策略2: 标题中精确子串匹配已知人名（长名优先）
+    let mut found: Vec<String> = Vec::new();
+    let mut sorted_names: Vec<&String> = known_names.iter().collect();
+    sorted_names.sort_by(|a, b| b.len().cmp(&a.len()));
+
+    for name in &sorted_names {
+        if name.len() < 2 {
+            continue;
+        }
+        if title_clean.contains(name.as_str()) {
+            found.push(name.to_string());
+        }
+    }
+
+    if !found.is_empty() {
+        found.sort_by(|a, b| b.len().cmp(&a.len()));
+        let best = found[0].clone();
+        result.matched = true;
+        result.method = "exact_name_match".to_string();
+        result.person = Some(best.clone());
+        result.matched_text = Some(best);
+        result.all_persons = found.clone();
+        result.multi_person = found.len() > 1;
+        return result;
+    }
+
+    // 策略3: 别名模糊匹配
+    let title_lower = title_clean.to_lowercase();
+    let mut sorted_aliases: Vec<&String> = known_aliases.iter().collect();
+    sorted_aliases.sort_by(|a, b| b.len().cmp(&a.len()));
+
+    for alias in &sorted_aliases {
+        if alias.len() < 2 {
+            continue;
+        }
+        if title_lower.contains(alias.to_lowercase().as_str()) {
+            result.matched = true;
+            result.method = "alias_fuzzy_match".to_string();
+            result.person = Some(alias.to_string());
+            result.matched_text = Some(alias.to_string());
+            return result;
+        }
+    }
+
+    result
+}
+
+/// 收集所有已知人名和别名
+pub async fn collect_known_names(db: &Database) -> (HashSet<String>, HashSet<String>) {
+    let mut known_names = HashSet::new();
+    let mut known_aliases = HashSet::new();
+
+    for (name, _) in db.get_all_person_names().await {
+        known_names.insert(name);
+    }
+    for (alias_name, _) in db.get_all_aliases().await {
+        known_aliases.insert(alias_name);
+    }
+
+    (known_names, known_aliases)
+}
+
+/// 检测含多个人名的相册
+pub async fn detect_multi_person_titles(
+    db: &Database,
+    known_names: Option<&HashSet<String>>,
+) -> Vec<(String, String, Vec<String>)> {
+    let names = match known_names {
+        Some(n) => n.clone(),
+        None => collect_known_names(db).await.0,
+    };
+
+    let albums = db.get_all_albums_full().await;
+    let mut multi_person = Vec::new();
+
+    for album in &albums {
+        let title = album.title.as_deref().unwrap_or("");
+        if title.is_empty() {
+            continue;
+        }
+
+        let mut found: Vec<String> = Vec::new();
+        let mut sorted_names: Vec<&String> = names.iter().collect();
+        sorted_names.sort_by(|a, b| b.len().cmp(&a.len()));
+
+        for name in &sorted_names {
+            if name.len() < 2 {
+                continue;
+            }
+            if title.contains(name.as_str()) {
+                found.push(name.to_string());
+            }
+        }
+
+        if found.len() > 1 {
+            multi_person.push((
+                album.id.clone(),
+                title.to_string(),
+                found,
+            ));
+        }
+    }
+
+    multi_person
+}
+
+// ── 中文核心合并分析 ──
+
+/// 分析所有人名的中文核心分组
+/// 返回: {core: [(id, name, albums, images), ...]}
+pub async fn analyze_groups(db: &Database) -> HashMap<String, Vec<(i64, String, i64, i64)>> {
+    let persons = db.get_all_persons_with_counts().await;
+    let mut groups: HashMap<String, Vec<(i64, String, i64, i64)>> = HashMap::new();
+
+    for (pid, name, albums, images) in persons {
+        if let Some(cn) = extract_cn(&name) {
+            if cn.len() >= 2 {
+                groups.entry(cn).or_default().push((pid, name, albums, images));
+            }
+        }
+    }
+
+    for items in groups.values_mut() {
+        items.sort_by(|a, b| b.2.cmp(&a.2));
+    }
+
+    groups.retain(|_, v| v.len() >= 2);
+
+    groups
+}
+
+/// 统计匹配分析
+#[derive(Debug, Clone)]
+pub struct MatchStats {
+    pub total_albums: usize,
+    pub matched: usize,
+    pub unmatched: usize,
+    pub already_set: usize,
+    pub changed: usize,
+    pub by_source: HashMap<String, usize>,
+    pub name_frequency: HashMap<String, usize>,
+}
+
+/// 执行 Pass1 匹配分析
+pub async fn analyze_matches(db: &Database, patterns: &[Pattern]) -> MatchStats {
+    let albums = db.get_all_albums_full().await;
+    let mut stats = MatchStats {
+        total_albums: albums.len(),
+        matched: 0,
+        unmatched: 0,
+        already_set: 0,
+        changed: 0,
+        by_source: HashMap::new(),
+        name_frequency: HashMap::new(),
+    };
+
+    for album in &albums {
+        let title = album.title.as_deref().unwrap_or("");
+        let current = album.person_name_original.as_deref().unwrap_or("");
+
+        if let Some((text, person, source)) = match_title(title, patterns) {
+            *stats.by_source.entry(source).or_insert(0) += 1;
+            *stats.name_frequency.entry(person.clone()).or_insert(0) += 1;
+
+            if current.is_empty() {
+                stats.matched += 1;
+            } else if current != person {
+                stats.changed += 1;
+            } else {
+                stats.already_set += 1;
+            }
+        } else {
+            stats.unmatched += 1;
+        }
+    }
+
+    stats
+}
+
+/// 深度匹配分析统计
+#[derive(Debug, Clone)]
+pub struct DeepMatchStats {
+    pub total_albums: usize,
+    pub pass1_matched: usize,
+    pub pass1_unmatched: usize,
+    pub pass2_jieba_match: usize,
+    pub pass2_exact_match: usize,
+    pub pass2_alias_match: usize,
+    pub pass2_still_unmatched: usize,
+    pub pass2_multi_person: usize,
+}
+
+/// 执行 Pass2 深度匹配分析
+pub async fn analyze_deep_matches(db: &Database) -> DeepMatchStats {
+    let (known_names, known_aliases) = collect_known_names(db).await;
+    let albums = db.get_all_albums_full().await;
+
+    let mut stats = DeepMatchStats {
+        total_albums: albums.len(),
+        pass1_matched: 0,
+        pass1_unmatched: 0,
+        pass2_jieba_match: 0,
+        pass2_exact_match: 0,
+        pass2_alias_match: 0,
+        pass2_still_unmatched: 0,
+        pass2_multi_person: 0,
+    };
+
+    for album in &albums {
+        let title = album.title.as_deref().unwrap_or("");
+        let current = album.person_name_original.as_deref().unwrap_or("");
+
+        if title.is_empty() {
+            continue;
+        }
+
+        if !current.is_empty() && known_names.contains(current) {
+            stats.pass1_matched += 1;
+            continue;
+        }
+
+        stats.pass1_unmatched += 1;
+
+        let result = deep_match_title(title, &known_names, &known_aliases);
+        if !result.matched {
+            stats.pass2_still_unmatched += 1;
+            continue;
+        }
+
+        match result.method.as_str() {
+            "jieba_extract" => stats.pass2_jieba_match += 1,
+            "exact_name_match" => stats.pass2_exact_match += 1,
+            "alias_fuzzy_match" => stats.pass2_alias_match += 1,
+            _ => {}
+        }
+
+        if result.multi_person {
+            stats.pass2_multi_person += 1;
+        }
+    }
+
+    stats
+}
\ No newline at end of file
diff --git a/src/engine/pipeline.rs b/src/engine/pipeline.rs
new file mode 100644
index 0000000..155c3fe
--- /dev/null
+++ b/src/engine/pipeline.rs
@@ -0,0 +1,81 @@
+//! 处理管线 — 批量处理相册元数据
+
+use crate::db::Database;
+use crate::engine::title_parser;
+use crate::engine::tag_extractor;
+use crate::engine::person_merger;
+use std::collections::HashMap;
+
+/// 处理所有相册的元数据：提取人名 + 标签
+/// 两阶段：先用正则提取人名入库，再用匹配精炼，最后提取标签
+pub async fn process_all_albums(db: &Database) -> (usize, usize) {
+    let albums = db.get_all_albums_full().await;
+    let mut person_count = 0;
+    let mut tag_count = 0;
+
+    // Phase 1: 先用正则从标题直接提取人名（冷启动，不需要已有 persons）
+    let patterns = person_merger::collect_person_patterns(db).await;
+    let use_patterns = !patterns.is_empty();
+
+    for album in &albums {
+        let title = album.title.as_deref().unwrap_or("");
+        if title.is_empty() { continue; }
+
+        // 提取人名
+        if album.person_name_original.is_none() || album.person_name_original.as_deref() == Some("") {
+            let person_name = if use_patterns {
+                // 已有人物库，用匹配
+                person_merger::match_title(title, &patterns).map(|(_, name, _)| name)
+            } else {
+                // 冷启动，直接用正则提取
+                title_parser::extract_person_name_from_title(title)
+            };
+
+            if let Some(person_name) = person_name {
+                let (cleaned, _aliases) = title_parser::clean_person_name(&person_name);
+                let final_name = if cleaned.is_empty() { person_name.clone() } else { cleaned };
+                db.update_album_person(&album.id, &person_name, &final_name).await;
+
+                // 创建人员
+                let pid = db.insert_person(&final_name, None).await;
+                db.insert_person_album(pid, &album.id).await;
+                db.update_person_counts(pid).await;
+                person_count += 1;
+            }
+        }
+    }
+
+    // Phase 2: 提取标签（使用已填充的人名来排除）
+    // 重新获取 albums（因为 person_name_cleaned 已更新）
+    let albums_refreshed = db.get_all_albums_full().await;
+    let mut seen_albums: HashMap<String, String> = HashMap::new();
+    for album in &albums {
+        if let Some(pn) = &album.person_name_cleaned {
+            seen_albums.insert(album.id.clone(), pn.clone());
+        }
+    }
+
+    for album in &albums_refreshed {
+        let title = album.title.as_deref().unwrap_or("");
+        if title.is_empty() { continue; }
+
+        let existing_tags = album.tags.as_deref().unwrap_or("");
+        if existing_tags.is_empty() || existing_tags == "[]" {
+            let person = album.person_name_cleaned.as_deref()
+                .or_else(|| seen_albums.get(&album.id).map(|s| s.as_str()));
+            let tags = tag_extractor::extract_tags_from_title(title, person);
+            let unique = tag_extractor::unique_tags(tags);
+            if !unique.is_empty() {
+                let tag_names: Vec<String> = unique.iter().map(|(t, _)| t.clone()).collect();
+                let tags_json = serde_json::to_string(&tag_names).unwrap_or_else(|_| "[]".to_string());
+                let all_words: Vec<[String; 2]> = unique.iter().map(|(t, tp)| [t.clone(), tp.clone()]).collect();
+                let words_json = serde_json::to_string(&all_words).unwrap_or_else(|_| "[]".to_string());
+                db.update_album_tags(&album.id, &tags_json, &words_json).await;
+                tag_count += 1;
+            }
+        }
+    }
+
+    println!("[管线] 处理完成：{} 个人名，{} 个标签", person_count, tag_count);
+    (person_count, tag_count)
+}
\ No newline at end of file
diff --git a/src/engine/recommend.rs b/src/engine/recommend.rs
new file mode 100644
index 0000000..8d68bde
--- /dev/null
+++ b/src/engine/recommend.rs
@@ -0,0 +1,203 @@
+//! 推荐引擎 — 标签推荐、人物推荐、关联推荐
+//!
+//! 推荐策略：
+//! 1. 标签推荐：基于输入前缀匹配 + 热门度排序
+//! 2. 人物推荐：基于名称匹配 + 相册数排序
+//! 3. 关联推荐：基于标签共现关系 + 人物共现关系
+
+use crate::db::Database;
+use crate::models::*;
+use sqlx::Row;
+
+/// 推荐引擎
+pub struct RecommendEngine;
+
+impl RecommendEngine {
+    /// 标签自动补全推荐
+    pub async fn recommend_tags(
+        db: &Database,
+        query: &str,
+        limit: usize,
+    ) -> RecommendResponse {
+        let limit = limit.min(20);
+        let q = query.trim().to_lowercase();
+
+        let tags = db.get_popular_tags(200).await;
+        let mut items: Vec<RecommendItem> = Vec::new();
+
+        for t in &tags {
+            let tag_lower = t.tag.to_lowercase();
+            let score = if q.is_empty() {
+                // 无查询时按热门度
+                t.count as f64
+            } else if tag_lower == q {
+                // 精确匹配
+                1000.0 + t.count as f64
+            } else if tag_lower.starts_with(&q) {
+                // 前缀匹配
+                500.0 + t.count as f64
+            } else if tag_lower.contains(&q) {
+                // 包含匹配
+                100.0 + t.count as f64
+            } else {
+                continue;
+            };
+
+            items.push(RecommendItem {
+                value: t.tag.clone(),
+                label: format!("{} ({})", t.tag, t.count),
+                score,
+                count: Some(t.count),
+                source: "tag".to_string(),
+            });
+        }
+
+        items.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap_or(std::cmp::Ordering::Equal));
+        let total = items.len();
+        items.truncate(limit);
+
+        RecommendResponse { items, total, category: "tags".to_string() }
+    }
+
+    /// 人物推荐
+    pub async fn recommend_persons(
+        db: &Database,
+        query: &str,
+        limit: usize,
+    ) -> RecommendResponse {
+        let limit = limit.min(20);
+        let q = query.trim().to_lowercase();
+
+        let persons = db.get_all_persons_with_aliases().await;
+        let mut items: Vec<RecommendItem> = Vec::new();
+
+        for p in &persons {
+            let name_lower = p.name.to_lowercase();
+            let score = if q.is_empty() {
+                p.total_albums as f64
+            } else if name_lower == q {
+                1000.0 + p.total_albums as f64
+            } else if name_lower.starts_with(&q) {
+                500.0 + p.total_albums as f64
+            } else if name_lower.contains(&q) {
+                100.0 + p.total_albums as f64
+            } else {
+                // 检查别名
+                let alias_match = p.aliases.iter().any(|a| a.to_lowercase().contains(&q));
+                if alias_match { 200.0 + p.total_albums as f64 } else { continue }
+            };
+
+            let label = if p.aliases.is_empty() {
+                format!("{} ({}相册)", p.name, p.total_albums)
+            } else {
+                format!("{} [{}] ({}相册)", p.name, p.aliases.join(", "), p.total_albums)
+            };
+
+            items.push(RecommendItem {
+                value: p.name.clone(),
+                label,
+                score,
+                count: Some(p.total_albums),
+                source: "person".to_string(),
+            });
+        }
+
+        items.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap_or(std::cmp::Ordering::Equal));
+        let total = items.len();
+        items.truncate(limit);
+
+        RecommendResponse { items, total, category: "persons".to_string() }
+    }
+
+    /// 关联推荐（共现标签 + 共现人物）
+    pub async fn recommend_related(
+        db: &Database,
+        context: &str, // 标签或人名
+        limit: usize,
+    ) -> TagRecommendation {
+        let limit = limit.min(15);
+
+        // 获取共现标签
+        let co_tags = db.get_tag_co_occurrences(context, limit as i64).await;
+        let related_tags: Vec<RecommendItem> = co_tags.iter().map(|c| {
+            RecommendItem {
+                value: c.co_tag.clone(),
+                label: format!("{} (共现{}次)", c.co_tag, c.count),
+                score: c.score,
+                count: Some(c.count),
+                source: "co-occurrence".to_string(),
+            }
+        }).collect();
+
+        // 获取相关人物（通过标签）
+        let albums = db.search_albums_by_tag(context).await;
+        let mut person_scores: std::collections::HashMap<String, (i64, f64)> = std::collections::HashMap::new();
+        let total = albums.len() as f64;
+        for album in &albums {
+            let meta = db.get_all_albums_full().await;
+            for m in &meta {
+                if m.id == album.id.to_string() {
+                    if let Some(ref name) = m.person_name_cleaned {
+                        let entry = person_scores.entry(name.clone()).or_insert((0, 0.0));
+                        entry.0 += 1;
+                        entry.1 = entry.0 as f64 / total;
+                    }
+                }
+            }
+        }
+
+        let mut similar_persons: Vec<RecommendItem> = person_scores.into_iter()
+            .filter(|(_, (cnt, _))| *cnt >= 1)
+            .map(|(name, (cnt, score))| RecommendItem {
+                value: name.clone(),
+                label: format!("{} ({}次)", name, cnt),
+                score,
+                count: Some(cnt),
+                source: "co-occurrence".to_string(),
+            }).collect();
+        similar_persons.sort_by(|a, b| b.score.partial_cmp(&a.score).unwrap_or(std::cmp::Ordering::Equal));
+        similar_persons.truncate(limit);
+
+        TagRecommendation {
+            tag: context.to_string(),
+            related_tags,
+            similar_persons,
+        }
+    }
+
+    /// 热门人物
+    pub async fn popular_persons(db: &Database, limit: usize) -> Vec<PopularPerson> {
+        let persons = db.get_all_persons_with_aliases().await;
+        let mut results: Vec<PopularPerson> = persons.iter().take(limit).map(|p| {
+            PopularPerson {
+                name: p.name.clone(),
+                display_name: p.display_name.clone(),
+                total_albums: p.total_albums,
+                total_images: p.total_images,
+                top_tags: Vec::new(),
+                aliases: p.aliases.clone(),
+            }
+        }).collect();
+
+        // 为热门人物获取 top tags
+        // （简化：从 person_albums 查标签）
+        for rp in &mut results {
+            if let Some(person) = db.get_person_by_name(&rp.name).await {
+                let albums = db.get_person_albums(person.id).await;
+                let mut tag_counts: std::collections::HashMap<String, i64> = std::collections::HashMap::new();
+                for album in &albums {
+                    let aid = album.id.to_string();
+                    let rows = sqlx::query("SELECT tag FROM album_tags WHERE album_id = ?")
+                        .bind(&aid).fetch_all(&db.pool).await.unwrap_or_default();
+                    for row in &rows {
+                        *tag_counts.entry(row.get::<String, _>("tag")).or_insert(0) += 1;
+                    }
+                }
+                let mut tags: Vec<(String, i64)> = tag_counts.into_iter().collect();
+                tags.sort_by(|a, b| b.1.cmp(&a.1));
+                rp.top_tags = tags.into_iter().take(5).map(|(t, _)| t).collect();
+            }
+        }
+        results
+    }
+}
\ No newline at end of file
diff --git a/src/engine/tag_extractor.rs b/src/engine/tag_extractor.rs
new file mode 100644
index 0000000..6a2684d
--- /dev/null
+++ b/src/engine/tag_extractor.rs
@@ -0,0 +1,81 @@
+//! 标签提取器 — 从标题中提取标签词
+
+use regex::Regex;
+use lazy_static::lazy_static;
+use std::collections::HashSet;
+
+lazy_static! {
+    static ref WORD_RE: Regex = Regex::new(r"[a-zA-Z0-9\u{4e00}-\u{9fff}]+").unwrap();
+    static ref HAS_CHINESE: Regex = Regex::new(r"[\u{4e00}-\u{9fff}]").unwrap();
+}
+
+/// 停用词
+const STOP_WORDS: &[&str] = &[
+    "photos", "photo", "pictures", "picture", "images", "image", "video", "videos",
+    "cosplay", "cos", "and", "the", "of", "in", "a", "an", "is", "to", "for",
+    "part", "vol", "collection", "special", "extra", "bonus",
+    "new", "old", "selfie", "official", "original", "preview", "patreon",
+    "秀人", "网", "写真", "图", "套", "合集", "系列", "作品",
+];
+
+/// 从标题中提取标签
+pub fn extract_tags_from_title(
+    title: &str,
+    person_name: Option<&str>,
+) -> Vec<(String, String)> {
+    let mut tags = Vec::new();
+    let mut title_lower = title.to_lowercase();
+
+    // 移除人名
+    if let Some(name) = person_name {
+        title_lower = title_lower.replace(&name.to_lowercase(), " ");
+    }
+
+    let stop_words: HashSet<&str> = STOP_WORDS.iter().copied().collect();
+    let person_name_lower = person_name.map(|n| n.to_lowercase());
+
+    for cap in WORD_RE.find_iter(&title_lower) {
+        let word = cap.as_str().trim();
+        if word.len() < 2 { continue; }
+        if word.chars().all(|c| c.is_ascii_digit()) { continue; }
+        if stop_words.contains(&word.to_lowercase().as_str()) { continue; }
+        if let Some(ref pn) = person_name_lower {
+            if word.to_lowercase().contains(pn.as_str()) { continue; }
+        }
+
+        let tag_type = if HAS_CHINESE.is_match(word) { "chinese" } else { "english" };
+        tags.push((word.to_string(), tag_type.to_string()));
+    }
+
+    tags
+}
+
+/// 标签去重并排序
+pub fn unique_tags(tags: Vec<(String, String)>) -> Vec<(String, String)> {
+    let mut seen = HashSet::new();
+    let mut result = Vec::new();
+    for (tag, tag_type) in tags {
+        let key = tag.to_lowercase();
+        if seen.insert(key) {
+            result.push((tag, tag_type));
+        }
+    }
+    result
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_extract_tags() {
+        let tags = extract_tags_from_title(
+            "XiuRen秀人网 – 杨晨晨Yome – Night Dress '81 photos'",
+            Some("杨晨晨Yome"),
+        );
+        let names: Vec<&str> = tags.iter().map(|(t, _)| t.as_str()).collect();
+        assert!(names.contains(&"Night"));
+        assert!(names.contains(&"Dress"));
+        assert!(!names.contains(&"photos"));
+    }
+}
\ No newline at end of file
diff --git a/src/engine/title_parser.rs b/src/engine/title_parser.rs
new file mode 100644
index 0000000..d67b319
--- /dev/null
+++ b/src/engine/title_parser.rs
@@ -0,0 +1,285 @@
+//! 标题解析、人名提取、标签提取
+//! 对应 Python 的 tag_index.py + clean_person_names.py 的核心逻辑
+
+use regex::Regex;
+use std::collections::HashSet;
+use lazy_static::lazy_static;
+
+// ── 常量 ──
+
+/// 模特称呼前缀（移除用）
+const MODEL_TITLE_PREFIX: &[&str] = &[
+    "美女模特", "性感女神", "清纯美女", "气质美女", "可爱女孩",
+    "甜美少女", "时尚达人", "女神", "美女", "模特", "小姐姐",
+    "小仙女", "御姐", "萝莉", "辣妹", "潮人",
+];
+
+/// 停用词（标签过滤用）
+const STOP_WORDS: &[&str] = &[
+    "写真", "套图", "图片", "照片", "摄影", "拍摄", "风格",
+    "系列", "作品", "专辑", "主题", "人像", "艺术", "唯美",
+    "诱惑", "性感", "迷人", "魅力", "时尚", "潮流", "高清",
+    "原版", "无水印", "私房", "内衣", "比基尼", "泳装",
+    "旗袍", "制服", "丝袜", "美腿", "美胸", "翘臀",
+    "cosplay", "cos", "角色扮演", "动漫", "游戏",
+    "classic", "exclusive", "premium", "collection",
+    "photo", "photos", "video", "videos", "set", "vol",
+    "no", "番号", "编号", "期号",
+];
+
+/// 保留词性（仅用于 jieba 分词场景，这里做占位符）
+const _KEEP_POS: &[&str] = &["n", "nr", "ns", "nz", "v", "vn", "a", "an", "eng", "x"];
+
+/// 工作室/平台排除名
+const EXCLUDED_NAMES: &[&str] = &[
+    "Pure Media", "XiuRen秀人网", "尤蜜", "魅妍社", "花漾",
+    "瑞丝馆", "撸图", "情欲萝莉", "蜜桃社", "tgod",
+    "MiStar", "BLUECAKE", "HuaYang", "YouMi", "秀人",
+];
+
+lazy_static! {
+    /// 编译后的正则
+    static ref RE_COSPLAY: Regex = Regex::new(
+        r"(?i)^(.+?)\s+cos(play)?\s+(.+?)(?:\s*[–—\-]\s*(.+))?$"
+    ).unwrap();
+    static ref RE_COSPLAY_BY: Regex = Regex::new(
+        r"(?i)^(.+?)\s+cos(play)?\s+by\s+(.+?)(?:\s*[–—\-]\s*(.+))?$"
+    ).unwrap();
+    static ref RE_BRACKET_PREFIX: Regex = Regex::new(r"^\[([^\]]+)\]\s*").unwrap();
+    static ref RE_NUMBER_SUFFIX: Regex = Regex::new(r"[\s#]*(?:no\.?\s*|vol\.?\s*|#)?\d+[\s]*$").unwrap();
+    static ref RE_PAREN_CONTENT: Regex = Regex::new(r"[（(]([^）)]*)[）)]").unwrap();
+    static ref RE_SPLIT_DASH: Regex = Regex::new(r"\s*[–—\-]\s*").unwrap();
+    static ref RE_PHOTOS_SUFFIX: Regex = Regex::new(r"(?i)\s*\d+\s*photos?\s*(?:and\s*\d+\s*videos?)?\s*$").unwrap();
+    static ref RE_CHINESE: Regex = Regex::new(r"[\u{4e00}-\u{9fff}]").unwrap();
+    static ref RE_ENGLISH_SUFFIX: Regex = Regex::new(r"^([\u{4e00}-\u{9fff}]+)([A-Za-z].*)$").unwrap();
+    static ref RE_TRAILING_PUNCT: Regex = Regex::new(r"[\s.,;:，。；：\-–—]+$").unwrap();
+
+    /// 停用词集合
+    static ref STOP_WORDS_SET: HashSet<&'static str> = {
+        let mut s = HashSet::new();
+        for w in STOP_WORDS { s.insert(*w); }
+        s
+    };
+
+    /// 排除名集合（小写）
+    static ref EXCLUDED_LOWER: HashSet<String> = {
+        let mut s = HashSet::new();
+        for n in EXCLUDED_NAMES { s.insert(n.to_lowercase()); }
+        s.extend(["youmi", "huayang", "bluecake", "mistar", "xiuren", "秀人"].map(|s| s.to_string()));
+        s
+    };
+}
+
+// ── 人名提取 ──
+
+/// 从标题中提取模特/人物名称
+/// 对应 Python tag_index.extract_person_name_from_title
+pub fn extract_person_name_from_title(title: &str) -> Option<String> {
+    let title = title.trim();
+    if title.is_empty() {
+        return None;
+    }
+
+    // 清理末尾的 "N photos" 等
+    let title = RE_PHOTOS_SUFFIX.replace(title, "").trim().to_string();
+
+    // 1. cosplay 格式: "Name cosplay Character – Series"
+    if let Some(caps) = RE_COSPLAY_BY.captures(&title) {
+        return Some(caps[3].trim().to_string());
+    }
+    if let Some(caps) = RE_COSPLAY.captures(&title) {
+        return Some(caps[1].trim().to_string());
+    }
+
+    // 2. 中文摄影工作室格式
+    let title = RE_BRACKET_PREFIX.replace(&title, "").trim().to_string();
+
+    // 移除模特称呼前缀
+    let mut title = title;
+    for prefix in MODEL_TITLE_PREFIX {
+        if title.starts_with(prefix) {
+            title = title[prefix.len()..].trim().to_string();
+            break;
+        }
+    }
+
+    // 移除编号后缀
+    let title = RE_NUMBER_SUFFIX.replace(&title, "").trim().to_string();
+
+    // 用 `–—\-` 分割，取第一部分作为人名
+    let parts: Vec<&str> = RE_SPLIT_DASH.split(&title).collect();
+    let name = parts[0].trim().to_string();
+
+    if name.len() >= 2 {
+        Some(name)
+    } else {
+        None
+    }
+}
+
+/// 提取中文核心（开头的连续中文字符）
+/// 对应 Python merge_persons_by_core.extract_cn
+pub fn extract_cn(name: &str) -> Option<String> {
+    let re = Regex::new(r"^([\u{4e00}-\u{9fff}]+)").unwrap();
+    re.captures(name).map(|c| c[1].to_string())
+}
+
+/// 判断后缀是否有效（不含中文=有效英文后缀）
+/// 对应 Python merge_persons_by_core.is_valid_suffix
+pub fn is_valid_suffix(suffix: &str) -> bool {
+    if suffix.is_empty() {
+        return true;
+    }
+    !RE_CHINESE.is_match(suffix)
+}
+
+/// 判断是否为工作室/平台名（需排除）
+pub fn is_excluded_name(name: &str) -> bool {
+    EXCLUDED_LOWER.contains(&name.to_lowercase())
+}
+
+// ── 人名清洗 ──
+
+/// 清洗人名：移除前缀、括号内容、末尾标点
+/// 返回 (cleaned_name, aliases)
+/// 对应 Python clean_person_names.clean_person_name
+pub fn clean_person_name(raw_name: &str) -> (String, Vec<(String, String)>) {
+    let mut aliases = Vec::new();
+    let mut name = raw_name.to_string();
+
+    // 1. 移除前缀
+    for prefix in MODEL_TITLE_PREFIX {
+        if name.starts_with(prefix) {
+            aliases.push(("prefix".to_string(), prefix.to_string()));
+            name = name[prefix.len()..].trim().to_string();
+            break;
+        }
+    }
+
+    // 2. 移除末尾括号内容
+    let mut cleaned = String::new();
+    let mut last_end = 0;
+    for cap in RE_PAREN_CONTENT.captures_iter(&name) {
+        let m = cap.get(0).unwrap();
+        let content = cap.get(1).map_or("", |c| c.as_str());
+        cleaned.push_str(&name[last_end..m.start()]);
+        last_end = m.end();
+
+        if !content.is_empty() {
+            if RE_CHINESE.is_match(content) {
+                aliases.push(("nickname".to_string(), content.to_string()));
+            } else {
+                aliases.push(("english".to_string(), content.to_string()));
+            }
+        }
+    }
+    cleaned.push_str(&name[last_end..]);
+    let name = cleaned.trim().to_string();
+
+    // 3. 清理末尾标点
+    let name = RE_TRAILING_PUNCT.replace(&name, "").trim().to_string();
+
+    // 4. 从清洗后名字提取英文名别名
+    if let Some(caps) = RE_ENGLISH_SUFFIX.captures(&name) {
+        let chinese_part = caps[1].to_string();
+        let english_part = caps[2].to_string();
+        if !english_part.is_empty() {
+            aliases.push(("chinese".to_string(), chinese_part));
+            aliases.push(("english".to_string(), english_part));
+        }
+    }
+
+    if name.is_empty() {
+        (raw_name.to_string(), aliases)
+    } else {
+        (name, aliases)
+    }
+}
+
+/// 获取归并键（小写化+移除空格和标点）
+pub fn get_person_key(name: &str) -> String {
+    name.to_lowercase()
+        .chars()
+        .filter(|c| !c.is_whitespace() && !c.is_ascii_punctuation())
+        .collect()
+}
+
+// ── 标签提取 ──
+
+/// 从标题中提取标签（排除人名部分）
+/// 返回 Vec<(tag, pos)>
+/// 对应 Python tag_index.extract_tags_from_title
+#[allow(dead_code)]
+pub fn extract_tags_from_title_legacy(title: &str, person_name: Option<&str>) -> Vec<(String, String)> {
+    let mut title = title.to_string();
+
+    // 清理末尾的 "N photos" 等
+    title = RE_PHOTOS_SUFFIX.replace(&title, "").to_string();
+
+    // 移除人名
+    if let Some(name) = person_name {
+        title = title.replace(name, " ");
+        for part in name.split_whitespace() {
+            title = title.replace(part, " ");
+        }
+    }
+
+    // 移除 [工作室] 前缀
+    title = RE_BRACKET_PREFIX.replace(&title, "").to_string();
+
+    // 按空白分割，过滤停用词和短词
+    let mut tags = Vec::new();
+    let mut seen = HashSet::new();
+
+    for word in title.split_whitespace() {
+        let word = word.trim().to_lowercase();
+        if word.len() < 2 {
+            continue;
+        }
+        if STOP_WORDS_SET.contains(word.as_str()) {
+            continue;
+        }
+        if word.chars().all(|c| c.is_ascii_digit() || c == '.') {
+            continue;
+        }
+        if seen.contains(&word) {
+            continue;
+        }
+        seen.insert(word.clone());
+        tags.push((word, "x".to_string()));
+    }
+
+    tags
+}
+
+/// 标签归一化
+pub fn normalize_tag(tag: &str) -> String {
+    tag.trim().to_lowercase()
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_extract_person_name() {
+        assert_eq!(extract_person_name_from_title("杨晨晨Yome 私房写真").unwrap(), "杨晨晨Yome");
+        assert_eq!(extract_person_name_from_title("王馨瑶yanni 比基尼").unwrap(), "王馨瑶yanni");
+        assert_eq!(extract_person_name_from_title("[XiuRen] 杨晨晨 性感").unwrap(), "杨晨晨");
+        assert_eq!(extract_person_name_from_title("美女模特 杨晨晨 私房").unwrap(), "杨晨晨");
+    }
+
+    #[test]
+    fn test_extract_cn() {
+        assert_eq!(extract_cn("杨晨晨Yome").unwrap(), "杨晨晨");
+        assert_eq!(extract_cn("王馨瑶yanni").unwrap(), "王馨瑶");
+        assert!(extract_cn("Yome").is_none());
+    }
+
+    #[test]
+    fn test_clean_person_name() {
+        let (cleaned, aliases) = clean_person_name("美女模特 杨晨晨Yome");
+        assert_eq!(cleaned, "美女模特 杨晨晨Yome");
+        assert!(!aliases.is_empty());
+    }
+}
\ No newline at end of file
diff --git a/src/models/album.rs b/src/models/album.rs
new file mode 100644
index 0000000..19d99e2
--- /dev/null
+++ b/src/models/album.rs
@@ -0,0 +1,62 @@
+use serde::{Deserialize, Serialize};
+use uuid::Uuid;
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct Album {
+    pub id: Uuid,
+    pub title: String,
+    pub description: Option<String>,
+    pub cover_image_id: Option<Uuid>,
+    pub image_count: i64,
+    pub created_at: String,
+    pub updated_at: String,
+    #[serde(default)]
+    pub person_name_cleaned: Option<String>,
+    #[serde(default)]
+    pub tags: Option<String>,  // JSON: [tag, ...]
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct AlbumInfo {
+    pub id: Uuid,
+    pub title: String,
+    pub document: String,
+    pub description: Option<String>,
+    pub cover_image_id: Option<String>,
+    pub image_count: i64,
+    pub created_at: String,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct AlbumWithImages {
+    pub album: Album,
+    pub images: Vec<super::image::Image>,
+    pub image_count: i64,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct CreateAlbum {
+    pub title: String,
+    pub document: String,
+    pub description: Option<String>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct AlbumIndex {
+    pub title: String,
+    pub images: Vec<String>,
+}
+
+/// 相册完整元数据（含扩展字段）
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct AlbumMeta {
+    pub id: String,
+    pub title: Option<String>,
+    pub person_name_original: Option<String>,
+    pub person_name_cleaned: Option<String>,
+    pub tags: Option<String>,
+    pub all_words: Option<String>,
+    pub raw_title: Option<String>,
+    pub processed_at: Option<String>,
+    pub image_count: Option<i64>,
+}
\ No newline at end of file
diff --git a/src/models/favorite.rs b/src/models/favorite.rs
new file mode 100644
index 0000000..8f8f459
--- /dev/null
+++ b/src/models/favorite.rs
@@ -0,0 +1,30 @@
+use serde::{Deserialize, Serialize};
+use uuid::Uuid;
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Favorite {
+    pub id: Uuid,
+    pub user_id: String,
+    pub image_id: Uuid,
+    pub album_id: Uuid,
+    pub created_at: String,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct CreateFavorite {
+    pub image_id: Uuid,
+    pub album_id: Uuid,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct FavoriteWithImage {
+    pub favorite: Favorite,
+    pub image: super::image::Image,
+    pub album_title: String,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct FavoriteStatus {
+    pub is_favorited: bool,
+    pub favorite_id: Option<Uuid>,
+}
\ No newline at end of file
diff --git a/src/models/image.rs b/src/models/image.rs
new file mode 100644
index 0000000..1c4d7e6
--- /dev/null
+++ b/src/models/image.rs
@@ -0,0 +1,30 @@
+use serde::{Deserialize, Serialize};
+use uuid::Uuid;
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct Image {
+    pub id: Uuid,
+    pub album_id: Uuid,
+    pub filename: String,
+    pub original_url: Option<String>,
+    pub title: Option<String>,
+    pub description: Option<String>,
+    pub file_size: i64,
+    pub width: i32,
+    pub height: i32,
+    pub mime_type: String,
+    pub created_at: String,
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct CreateImage {
+    pub album_id: Uuid,
+    pub filename: String,
+    pub original_url: Option<String>,
+    pub title: Option<String>,
+    pub description: Option<String>,
+    pub file_size: i64,
+    pub width: i32,
+    pub height: i32,
+    pub mime_type: String,
+}
\ No newline at end of file
diff --git a/src/models/mod.rs b/src/models/mod.rs
new file mode 100644
index 0000000..d6ec375
--- /dev/null
+++ b/src/models/mod.rs
@@ -0,0 +1,13 @@
+pub mod album;
+pub mod image;
+pub mod person;
+pub mod tag;
+pub mod favorite;
+pub mod recommend;
+
+pub use album::*;
+pub use image::*;
+pub use person::*;
+pub use tag::*;
+pub use favorite::*;
+pub use recommend::*;
\ No newline at end of file
diff --git a/src/models/person.rs b/src/models/person.rs
new file mode 100644
index 0000000..40822b2
--- /dev/null
+++ b/src/models/person.rs
@@ -0,0 +1,53 @@
+use serde::{Deserialize, Serialize};
+use super::album::AlbumInfo;
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct Person {
+    pub id: i64,
+    pub name: String,
+    pub display_name: Option<String>,
+    pub total_albums: i64,
+    pub total_images: i64,
+    pub original_names: Option<String>,
+    pub created_at: String,
+    pub updated_at: String,
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct PersonAlias {
+    pub id: i64,
+    pub person_id: i64,
+    pub alias_type: String,
+    pub alias_name: String,
+    pub created_at: String,
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct PersonWithAlbums {
+    pub person: Person,
+    pub albums: Vec<AlbumInfo>,
+    pub album_count: usize,
+}
+
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct PersonWithCounts {
+    pub id: i64,
+    pub name: String,
+    pub display_name: Option<String>,
+    pub total_albums: i64,
+    pub total_images: i64,
+    pub aliases: Vec<String>,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct PersonListResponse {
+    pub persons: Vec<PersonWithCounts>,
+    pub total: usize,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct SearchPersonResponse {
+    pub person: Option<PersonWithCounts>,
+    pub albums: Vec<AlbumInfo>,
+    pub total_albums: usize,
+}
\ No newline at end of file
diff --git a/src/models/recommend.rs b/src/models/recommend.rs
new file mode 100644
index 0000000..c3b645b
--- /dev/null
+++ b/src/models/recommend.rs
@@ -0,0 +1,46 @@
+use serde::{Deserialize, Serialize};
+
+/// 推荐请求
+#[derive(Debug, Deserialize)]
+pub struct RecommendQuery {
+    pub q: Option<String>,
+    pub limit: Option<usize>,
+    pub context: Option<String>, // 上下文标签（用于共现推荐）
+}
+
+/// 推荐条目（通用）
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct RecommendItem {
+    pub value: String,
+    pub label: String,
+    pub score: f64,
+    pub count: Option<i64>,
+    pub source: String, // "tag" | "person" | "co-occurrence" | "popular"
+}
+
+/// 推荐响应
+#[derive(Debug, Serialize, Deserialize)]
+pub struct RecommendResponse {
+    pub items: Vec<RecommendItem>,
+    pub total: usize,
+    pub category: String, // "tags" | "persons" | "related"
+}
+
+/// 标签推荐（带上下文）
+#[derive(Debug, Serialize, Deserialize)]
+pub struct TagRecommendation {
+    pub tag: String,
+    pub related_tags: Vec<RecommendItem>,
+    pub similar_persons: Vec<RecommendItem>,
+}
+
+/// 热门人物
+#[derive(Debug, Serialize, Deserialize)]
+pub struct PopularPerson {
+    pub name: String,
+    pub display_name: Option<String>,
+    pub total_albums: i64,
+    pub total_images: i64,
+    pub top_tags: Vec<String>,
+    pub aliases: Vec<String>,
+}
\ No newline at end of file
diff --git a/src/models/tag.rs b/src/models/tag.rs
new file mode 100644
index 0000000..1c103a1
--- /dev/null
+++ b/src/models/tag.rs
@@ -0,0 +1,35 @@
+use serde::{Deserialize, Serialize};
+
+/// 标签统计
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct TagStat {
+    pub tag: String,
+    pub count: i64,
+    pub album_count: i64,
+}
+
+/// 标签列表响应
+#[derive(Debug, Serialize, Deserialize)]
+pub struct TagListResponse {
+    pub tags: Vec<TagStat>,
+    pub total: usize,
+}
+
+/// 元数据统计
+#[derive(Debug, Serialize, Deserialize)]
+pub struct MetadataStats {
+    pub total_persons: i64,
+    pub total_aliases: i64,
+    pub total_albums_with_person: i64,
+    pub total_albums_without_person: i64,
+    pub total_tags: i64,
+}
+
+/// 标签共现关系
+#[derive(Debug, Serialize, Deserialize, Clone)]
+pub struct TagCoOccurrence {
+    pub tag: String,
+    pub co_tag: String,
+    pub count: i64,
+    pub score: f64,
+}
\ No newline at end of file
diff --git a/src/routes/album.rs b/src/routes/album.rs
new file mode 100644
index 0000000..10424ee
--- /dev/null
+++ b/src/routes/album.rs
@@ -0,0 +1,65 @@
+use crate::cache::AlbumsCache;
+use crate::db::Database;
+use crate::models::*;
+use actix_web::{HttpResponse, Responder, web};
+use std::collections::HashMap;
+use std::sync::Arc;
+use tokio::sync::RwLock;
+use uuid::Uuid;
+
+pub async fn get_albums(cache: web::Data<Arc<RwLock<AlbumsCache>>>) -> impl Responder {
+    let c = cache.read().await;
+    HttpResponse::Ok().json(&c.albums)
+}
+
+pub async fn search_albums(
+    cache: web::Data<Arc<RwLock<AlbumsCache>>>,
+    query: web::Query<HashMap<String, String>>,
+) -> impl Responder {
+    let q = query.get("q").map(|s| s.as_str()).unwrap_or("");
+    if q.len() > 100 { return HttpResponse::BadRequest().json(serde_json::json!({"error": "搜索查询过长"})); }
+    if q.chars().any(|c| c.is_control() || c == '\0') { return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效字符"})); }
+
+    let page: usize = query.get("page").and_then(|s| s.parse().ok()).unwrap_or(1);
+    let limit: usize = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(50).min(200);
+    let offset = (page - 1) * limit;
+
+    let c = cache.read().await;
+    let results = if q.is_empty() {
+        let total = c.albums.len();
+        let start = offset.min(total);
+        let end = (offset + limit).min(total);
+        c.albums[start..end].to_vec()
+    } else {
+        let mut results = c.search(q);
+        let total = results.len();
+        let start = offset.min(total);
+        let end = (offset + limit).min(total);
+        if start < end { results.drain(start..end).collect() } else { Vec::new() }
+    };
+
+    HttpResponse::Ok().json(results)
+}
+
+pub async fn get_random_album(cache: web::Data<Arc<RwLock<AlbumsCache>>>) -> impl Responder {
+    let c = cache.read().await;
+    if c.albums.is_empty() { return HttpResponse::NotFound().json(serde_json::json!({"error": "没有相册"})); }
+    let idx = rand::random::<usize>() % c.albums.len();
+    HttpResponse::Ok().json(&c.albums[idx])
+}
+
+pub async fn get_album_detail(db: web::Data<Arc<Database>>, path: web::Path<String>) -> impl Responder {
+    let id = match Uuid::parse_str(&path.into_inner()) { Ok(id) => id, Err(_) => return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效ID"})) };
+    match db.get_album_with_images(id).await {
+        Ok(Some(album)) => HttpResponse::Ok().json(album),
+        Ok(None) => HttpResponse::NotFound().json(serde_json::json!({"error": "相册不存在"})),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
+
+pub async fn create_album(db: web::Data<Arc<Database>>, body: web::Json<CreateAlbum>) -> impl Responder {
+    match db.create_album(body.into_inner()).await {
+        Ok(id) => HttpResponse::Created().json(serde_json::json!({"id": id})),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
\ No newline at end of file
diff --git a/src/routes/favorite.rs b/src/routes/favorite.rs
new file mode 100644
index 0000000..442a045
--- /dev/null
+++ b/src/routes/favorite.rs
@@ -0,0 +1,45 @@
+use crate::db::Database;
+use crate::models::*;
+use actix_web::{HttpResponse, Responder, web};
+use std::sync::Arc;
+use uuid::Uuid;
+
+static USER_ID: &str = "default_user";
+
+pub async fn get_favorites(db: web::Data<Arc<Database>>) -> impl Responder {
+    match db.get_user_favorites(USER_ID).await {
+        Ok(favs) => HttpResponse::Ok().json(favs),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
+
+pub async fn check_favorite_status(db: web::Data<Arc<Database>>, path: web::Path<String>) -> impl Responder {
+    let id = match Uuid::parse_str(&path.into_inner()) { Ok(id) => id, Err(_) => return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效ID"})) };
+    match db.get_favorite_status(USER_ID, id).await {
+        Ok(s) => HttpResponse::Ok().json(s),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
+
+pub async fn add_favorite(db: web::Data<Arc<Database>>, body: web::Json<CreateFavorite>) -> impl Responder {
+    match db.add_favorite(USER_ID, body.into_inner()).await {
+        Ok(id) => HttpResponse::Created().json(serde_json::json!({"id": id})),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
+
+pub async fn remove_favorite(db: web::Data<Arc<Database>>, path: web::Path<String>) -> impl Responder {
+    let id = match Uuid::parse_str(&path.into_inner()) { Ok(id) => id, Err(_) => return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效ID"})) };
+    match db.remove_favorite(id).await {
+        Ok(_) => HttpResponse::Ok().json(serde_json::json!({"message": "已取消"})),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
+
+pub async fn remove_favorite_by_image(db: web::Data<Arc<Database>>, path: web::Path<String>) -> impl Responder {
+    let id = match Uuid::parse_str(&path.into_inner()) { Ok(id) => id, Err(_) => return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效ID"})) };
+    match db.remove_favorite_by_image(USER_ID, id).await {
+        Ok(_) => HttpResponse::Ok().json(serde_json::json!({"message": "已取消"})),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({"error": format!("{}", e)})),
+    }
+}
\ No newline at end of file
diff --git a/src/routes/image.rs b/src/routes/image.rs
new file mode 100644
index 0000000..7cd4847
--- /dev/null
+++ b/src/routes/image.rs
@@ -0,0 +1,29 @@
+use crate::db::Database;
+use crate::image_processor::ImageProcessor;
+use actix_web::{HttpResponse, Responder, web};
+use std::fs;
+use std::sync::Arc;
+use uuid::Uuid;
+
+pub async fn get_image(
+    db: web::Data<Arc<Database>>,
+    ip: web::Data<Arc<ImageProcessor>>,
+    path: web::Path<String>,
+) -> impl Responder {
+    let id = match Uuid::parse_str(&path.into_inner()) { Ok(id) => id, Err(_) => return HttpResponse::BadRequest().json(serde_json::json!({"error": "无效ID"})) };
+    match db.get_image(id).await {
+        Ok(Some(img)) => {
+            let fp = ip.config.images_dir.join(&img.filename);
+            if fp.exists() {
+                match fs::read(&fp) {
+                    Ok(data) => HttpResponse::Ok().content_type(img.mime_type)
+                        .insert_header(("Cache-Control", "public, max-age=31536000"))
+                        .insert_header(("ETag", format!("\"{}\"", id))).body(data),
+                    Err(_) => HttpResponse::InternalServerError().json(serde_json::json!({"error": "读取失败"})),
+                }
+            } else { HttpResponse::NotFound().json(serde_json::json!({"error": "文件不存在"})) }
+        }
+        Ok(None) => HttpResponse::NotFound().json(serde_json::json!({"error": "图片不存在"})),
+        Err(_) => HttpResponse::InternalServerError().json(serde_json::json!({"error": "查询失败"})),
+    }
+}
\ No newline at end of file
diff --git a/src/routes/migration.rs b/src/routes/migration.rs
new file mode 100644
index 0000000..695a68a
--- /dev/null
+++ b/src/routes/migration.rs
@@ -0,0 +1,48 @@
+use crate::db::Database;
+use crate::db::MigrationStats;
+use actix_web::{HttpResponse, Responder, web};
+use std::collections::HashMap;
+use std::sync::Arc;
+
+/// GET /api/migration/stats — 查看迁移状态
+pub async fn migration_stats(db: web::Data<Arc<Database>>) -> impl Responder {
+    let persons = db.get_all_persons_with_counts().await.len();
+    let aliases = db.get_all_aliases().await.len();
+    let albums = db.get_all_albums().await.unwrap_or_default().len();
+
+    HttpResponse::Ok().json(serde_json::json!({
+        "persons": persons,
+        "aliases": aliases,
+        "albums": albums,
+        "message": if persons == 0 { "数据库为空，建议执行迁移" } else { "数据已就绪" }
+    }))
+}
+
+/// POST /api/migration/run — 执行从老数据库迁移
+pub async fn migration_run(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let old_db_path = match query.get("path") {
+        Some(p) if !p.is_empty() => p.clone(),
+        _ => return HttpResponse::BadRequest().json(serde_json::json!({
+            "error": "请提供老数据库路径: ?path=persons.db"
+        })),
+    };
+
+    match db.migrate_from_old_db(&old_db_path).await {
+        Ok(stats) => HttpResponse::Ok().json(serde_json::json!({
+            "success": true,
+            "summary": db.migration_summary(&stats),
+            "stats": {
+                "persons_imported": stats.persons_imported,
+                "persons_skipped": stats.persons_skipped,
+                "aliases_imported": stats.aliases_imported,
+                "albums_updated": stats.albums_updated,
+                "albums_missing": stats.albums_missing,
+                "tags_imported": stats.tags_imported,
+                "person_albums_created": stats.person_albums_created,
+            }
+        })),
+        Err(e) => HttpResponse::InternalServerError().json(serde_json::json!({
+            "error": format!("迁移失败: {}", e)
+        })),
+    }
+}
\ No newline at end of file
diff --git a/src/routes/mod.rs b/src/routes/mod.rs
new file mode 100644
index 0000000..007867c
--- /dev/null
+++ b/src/routes/mod.rs
@@ -0,0 +1,21 @@
+//! API 路由层 — 按领域拆分
+
+pub mod album;
+pub mod image;
+pub mod favorite;
+pub mod person;
+pub mod tag;
+pub mod recommend;
+pub mod queue;
+pub mod migration;
+pub mod pipeline;
+
+pub use album::*;
+pub use image::*;
+pub use favorite::*;
+pub use person::*;
+pub use tag::*;
+pub use recommend::*;
+pub use queue::*;
+pub use migration::*;
+pub use pipeline::*;
\ No newline at end of file
diff --git a/src/routes/person.rs b/src/routes/person.rs
new file mode 100644
index 0000000..f4f96a8
--- /dev/null
+++ b/src/routes/person.rs
@@ -0,0 +1,36 @@
+use crate::db::Database;
+use crate::models::*;
+use actix_web::{HttpResponse, Responder, web};
+use std::collections::HashMap;
+use std::sync::Arc;
+
+pub async fn get_people(db: web::Data<Arc<Database>>) -> impl Responder {
+    let persons = db.get_all_persons_with_aliases().await;
+    HttpResponse::Ok().json(PersonListResponse { total: persons.len(), persons })
+}
+
+pub async fn search_people(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let q = query.get("q").map(|s| s.as_str()).unwrap_or("");
+    if q.is_empty() {
+        let persons = db.get_all_persons_with_aliases().await;
+        return HttpResponse::Ok().json(PersonListResponse { total: persons.len(), persons });
+    }
+    let persons = db.search_persons(q).await;
+    HttpResponse::Ok().json(PersonListResponse { total: persons.len(), persons })
+}
+
+pub async fn get_person_detail(db: web::Data<Arc<Database>>, path: web::Path<String>) -> impl Responder {
+    let name = path.into_inner();
+    match db.get_person_by_name(&name).await {
+        Some(p) => {
+            let albums = db.get_person_albums(p.id).await;
+            HttpResponse::Ok().json(PersonWithAlbums { album_count: albums.len(), person: p, albums })
+        }
+        None => HttpResponse::NotFound().json(serde_json::json!({"error": format!("人员 '{}' 不存在", name)})),
+    }
+}
+
+pub async fn get_person_aliases(db: web::Data<Arc<Database>>, path: web::Path<i64>) -> impl Responder {
+    let aliases = db.get_person_aliases(path.into_inner()).await;
+    HttpResponse::Ok().json(aliases)
+}
\ No newline at end of file
diff --git a/src/routes/pipeline.rs b/src/routes/pipeline.rs
new file mode 100644
index 0000000..2020f15
--- /dev/null
+++ b/src/routes/pipeline.rs
@@ -0,0 +1,15 @@
+use crate::db::Database;
+use crate::engine::pipeline;
+use actix_web::{HttpResponse, Responder, web};
+use std::sync::Arc;
+
+/// POST /api/pipeline/run — 处理所有相册元数据（提取人名+标签）
+pub async fn pipeline_run(db: web::Data<Arc<Database>>) -> impl Responder {
+    let (persons, tags) = pipeline::process_all_albums(db.get_ref()).await;
+    HttpResponse::Ok().json(serde_json::json!({
+        "success": true,
+        "persons_updated": persons,
+        "tags_updated": tags,
+        "message": format!("处理完成：{} 个人名，{} 个标签", persons, tags)
+    }))
+}
\ No newline at end of file
diff --git a/src/routes/queue.rs b/src/routes/queue.rs
new file mode 100644
index 0000000..527b29f
--- /dev/null
+++ b/src/routes/queue.rs
@@ -0,0 +1,8 @@
+use crate::queue::TaskQueue;
+use actix_web::{HttpResponse, Responder, web};
+use std::sync::Arc;
+
+pub async fn get_queue_stats(q: web::Data<Arc<TaskQueue>>) -> impl Responder {
+    q.record_http_request().await;
+    HttpResponse::Ok().json(q.get_stats().await)
+}
\ No newline at end of file
diff --git a/src/routes/recommend.rs b/src/routes/recommend.rs
new file mode 100644
index 0000000..d494362
--- /dev/null
+++ b/src/routes/recommend.rs
@@ -0,0 +1,36 @@
+use crate::db::Database;
+use crate::engine::RecommendEngine;
+use crate::models::*;
+use actix_web::{HttpResponse, Responder, web};
+use std::collections::HashMap;
+use std::sync::Arc;
+
+/// 标签推荐（自动补全）
+pub async fn recommend_tags(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let q = query.get("q").map(|s| s.as_str()).unwrap_or("");
+    let limit: usize = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(10);
+    HttpResponse::Ok().json(RecommendEngine::recommend_tags(&db, q, limit).await)
+}
+
+/// 人物推荐（自动补全）
+pub async fn recommend_persons(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let q = query.get("q").map(|s| s.as_str()).unwrap_or("");
+    let limit: usize = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(10);
+    HttpResponse::Ok().json(RecommendEngine::recommend_persons(&db, q, limit).await)
+}
+
+/// 关联推荐（标签共现 + 共现人物）
+pub async fn recommend_related(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let context = match query.get("context") {
+        Some(c) if !c.is_empty() => c,
+        _ => return HttpResponse::BadRequest().json(serde_json::json!({"error": "请提供context参数"})),
+    };
+    let limit: usize = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(15);
+    HttpResponse::Ok().json(RecommendEngine::recommend_related(&db, context, limit).await)
+}
+
+/// 热门人物
+pub async fn popular_persons(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let limit: usize = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(20).min(50);
+    HttpResponse::Ok().json(RecommendEngine::popular_persons(&db, limit).await)
+}
\ No newline at end of file
diff --git a/src/routes/tag.rs b/src/routes/tag.rs
new file mode 100644
index 0000000..af9975d
--- /dev/null
+++ b/src/routes/tag.rs
@@ -0,0 +1,24 @@
+use crate::db::Database;
+use crate::models::*;
+use actix_web::{HttpResponse, Responder, web};
+use std::collections::HashMap;
+use std::sync::Arc;
+
+pub async fn get_metadata_stats(db: web::Data<Arc<Database>>) -> impl Responder {
+    HttpResponse::Ok().json(db.get_metadata_stats().await)
+}
+
+pub async fn search_by_tag(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let tag = match query.get("tag") {
+        Some(t) if !t.is_empty() => t,
+        _ => return HttpResponse::BadRequest().json(serde_json::json!({"error": "请提供tag参数"})),
+    };
+    let albums = db.search_albums_by_tag(tag).await;
+    HttpResponse::Ok().json(albums)
+}
+
+pub async fn get_popular_tags(db: web::Data<Arc<Database>>, query: web::Query<HashMap<String, String>>) -> impl Responder {
+    let limit: i64 = query.get("limit").and_then(|s| s.parse().ok()).unwrap_or(50);
+    let tags = db.get_popular_tags(limit).await;
+    HttpResponse::Ok().json(TagListResponse { total: tags.len(), tags })
+}
\ No newline at end of file
diff --git a/src/services/import.rs b/src/services/import.rs
new file mode 100644
index 0000000..5483407
--- /dev/null
+++ b/src/services/import.rs
@@ -0,0 +1,405 @@
+use std::fs;
+use std::path::Path;
+use std::sync::Arc;
+use ::image::GenericImageView;
+use tokio::task;
+use uuid::Uuid;
+use crate::config::Config;
+use crate::db::Database;
+use crate::models::*;
+
+/// 批量插入图片并设置封面的辅助函数
+async fn batch_insert_images_and_set_cover(
+    db: &Database,
+    images_to_insert: Vec<CreateImage>,
+    album_id: Uuid,
+    _album_path: &Path,
+    _folder_name: &str,
+) -> Result<usize, Box<dyn std::error::Error>> {
+    if images_to_insert.is_empty() {
+        return Ok(0);
+    }
+
+    println!("   批量插入 {} 张图片...", images_to_insert.len());
+    match db.add_images(images_to_insert).await {
+        Ok(ids) => {
+            println!("   批量插入成功，共插入 {} 张图片", ids.len());
+
+            if let Some(first_image_id) = ids.first() {
+                println!("   设置第一张图片为封面图片 (ID: {})...", first_image_id);
+                if let Err(e) = db.update_album_cover(album_id, *first_image_id).await {
+                    eprintln!("   更新相册封面失败: {}", e);
+                }
+                if let Ok(Some(first_image)) = db.get_image(*first_image_id).await {
+                    println!("   封面图片已设置: {}", first_image.filename);
+                }
+            }
+
+            Ok(ids.len())
+        }
+        Err(e) => {
+            eprintln!("   批量插入失败: {}", e);
+            Ok(0)
+        }
+    }
+}
+
+pub async fn import_existing_data(config: &Config, db: Arc<Database>, _task_queue: Option<Arc<crate::queue::TaskQueue>>) -> Result<(), Box<dyn std::error::Error>> {
+    println!("开始扫描图片目录并导入新相册...");
+
+    let albums_dir = Path::new(&config.storage.images_dir);
+
+    if !albums_dir.exists() {
+        println!("albums目录不存在，跳过导入");
+        return Ok(());
+    }
+
+    let existing_albums = db.get_all_albums().await?;
+    let existing_titles: Vec<String> = existing_albums.iter()
+        .map(|album| album.document.to_lowercase())
+        .collect();
+
+    println!("数据库中现有相册数量: {}", existing_albums.len());
+
+    let mut reimported_count = 0;
+    let mut deleted_count = 0;
+
+    for album in &existing_albums {
+        let album_folder_path = albums_dir.join(&album.document);
+
+        if !album_folder_path.exists() {
+            println!("🗑️  相册文件夹不存在，删除相册: {}", album.document);
+            if let Err(e) = db.delete_album(album.id).await {
+                eprintln!("❌ 删除相册失败: {}", e);
+            } else {
+                deleted_count += 1;
+            }
+            continue;
+        }
+
+        let image_count = db.get_album_image_count(album.id).await.unwrap_or(0);
+        if image_count == 0 {
+            println!("🔄 重新导入相册: {} (图片数量: 0)", album.document);
+            match reimport_single_album(&db, &album.document, &album_folder_path, album.id).await {
+                Ok(count) => {
+                    if count > 0 {
+                        reimported_count += 1;
+                        println!("✅ 相册 {} 重新导入成功，导入 {} 张图片", album.document, count);
+                    } else {
+                        println!("⚠️  相册 {} 重新导入但没有找到图片", album.document);
+                    }
+                }
+                Err(e) => {
+                    eprintln!("❌ 相册 {} 重新导入失败: {}", album.document, e);
+                }
+            }
+        }
+    }
+
+    if reimported_count > 0 || deleted_count > 0 {
+        println!("🎯 重新导入完成: 重新导入 {} 个相册，删除 {} 个相册", reimported_count, deleted_count);
+    }
+
+    let entries: Vec<_> = fs::read_dir(albums_dir)?.collect::<Result<Vec<_>, _>>()?;
+    let mut album_folders = Vec::new();
+
+    for entry in entries {
+        let path = entry.path();
+        if path.is_dir() {
+            if let Some(folder_name) = path.file_name().and_then(|s| s.to_str()) {
+                if existing_titles.contains(&folder_name.to_lowercase()) {
+                    continue;
+                }
+                album_folders.push((folder_name.to_string(), path));
+            }
+        }
+    }
+
+    println!("发现 {} 个新相册需要导入", album_folders.len());
+
+    if album_folders.is_empty() {
+        println!("没有新相册需要导入");
+        return Ok(());
+    }
+
+    println!("📁 开始导入新相册...");
+
+    let mut total_imported = 0;
+    let mut successful_albums = 0;
+
+    for (folder_name, path) in album_folders {
+        println!("📁 开始导入相册: {}", folder_name);
+
+        match import_single_album(&db, &folder_name, &path).await {
+            Ok(count) => {
+                if count > 0 {
+                    successful_albums += 1;
+                    total_imported += count;
+                    println!("✅ 相册 {} 导入完成，共导入 {} 张图片", folder_name, count);
+                } else {
+                    println!("⚠️  相册 {} 没有图片需要导入", folder_name);
+                }
+            }
+            Err(e) => {
+                eprintln!("❌ 相册 {} 导入失败: {}", folder_name, e);
+            }
+        }
+    }
+
+    println!("🎉 导入完成！成功导入 {} 个相册，共 {} 张图片", successful_albums, total_imported);
+
+    Ok(())
+}
+
+async fn import_single_album(db: &Database, folder_name: &str, path: &Path) -> Result<usize, Box<dyn std::error::Error>> {
+    println!("📁 开始导入相册: {}", folder_name);
+
+    let index_file_path = path.join("index.json");
+    let album_title = if index_file_path.exists() {
+        match fs::read_to_string(&index_file_path) {
+            Ok(content) => {
+                match serde_json::from_str::<AlbumIndex>(&content) {
+                    Ok(index) => {
+                        println!("   从index.json读取相册标题: {}", index.title);
+                        index.title
+                    }
+                    Err(e) => {
+                        println!("   解析index.json失败: {}, 使用文件夹名作为标题", e);
+                        folder_name.to_string()
+                    }
+                }
+            }
+            Err(e) => {
+                println!("   读取index.json失败: {}, 使用文件夹名作为标题", e);
+                folder_name.to_string()
+            }
+        }
+    } else {
+        println!("   index.json不存在，使用文件夹名作为标题");
+        folder_name.to_string()
+    };
+
+    let new_album = CreateAlbum {
+        title: album_title.clone(),
+        document: folder_name.to_string(),
+        description: Some(format!("从文件夹 {} 自动导入的相册", folder_name)),
+    };
+
+    let album_id = db.create_album(new_album).await?;
+    println!("   创建相册: {} (ID: {})", album_title, album_id);
+
+    let image_urls = if index_file_path.exists() {
+        match fs::read_to_string(&index_file_path) {
+            Ok(content) => {
+                match serde_json::from_str::<AlbumIndex>(&content) {
+                    Ok(index) => {
+                        println!("   从index.json读取到 {} 个图片URL", index.images.len());
+                        Some(index.images)
+                    }
+                    Err(_) => None
+                }
+            }
+            Err(_) => None
+        }
+    } else {
+        None
+    };
+
+    let image_files = scan_image_files(path, folder_name)?;
+
+    if image_files.is_empty() {
+        println!("   相册 {} 中没有找到图片文件", folder_name);
+        return Ok(0);
+    }
+
+    println!("   发现 {} 张图片，开始处理...", image_files.len());
+
+    let mut image_tasks = Vec::new();
+
+    for (index, (filename, image_path)) in image_files.iter().enumerate() {
+        let image_url = image_urls.as_ref().and_then(|urls| {
+            if urls.len() > index {
+                Some(urls[index].clone())
+            } else {
+                None
+            }
+        });
+
+        let filename_clone = filename.clone();
+        let image_path_clone = image_path.clone();
+        let album_id_clone = album_id;
+        let folder_name_clone = folder_name.to_string();
+
+        let task = task::spawn_blocking(move || {
+            let (file_size, width, height) = match get_image_info(&image_path_clone) {
+                Ok(info) => info,
+                Err(e) => {
+                    eprintln!("获取图片信息失败: {} - {}", image_path_clone.display(), e);
+                    (0, 0, 0)
+                }
+            };
+
+            CreateImage {
+                album_id: album_id_clone,
+                filename: format!("{}/{}", folder_name_clone, filename_clone),
+                original_url: image_url,
+                title: Some(format!("图片 {}", index + 1)),
+                description: Some(format!("从文件夹 {} 导入的图片", folder_name_clone)),
+                file_size,
+                width,
+                height,
+                mime_type: match image_path_clone.extension().and_then(|s| s.to_str()).unwrap_or("jpg").to_lowercase().as_str() {
+                    "jpg" | "jpeg" => "image/jpeg".to_string(),
+                    "png" => "image/png".to_string(),
+                    "gif" => "image/gif".to_string(),
+                    "webp" => "image/webp".to_string(),
+                    "bmp" => "image/bmp".to_string(),
+                    _ => "image/jpeg".to_string(),
+                },
+            }
+        });
+
+        image_tasks.push(task);
+    }
+
+    let mut images_to_insert = Vec::new();
+    for task in image_tasks {
+        match task.await {
+            Ok(image) => images_to_insert.push(image),
+            Err(e) => eprintln!("图片处理任务失败: {}", e),
+        }
+    }
+
+    batch_insert_images_and_set_cover(&db, images_to_insert, album_id, path, folder_name).await
+}
+
+pub(crate) fn scan_image_files(path: &Path, _folder_name: &str) -> Result<Vec<(String, std::path::PathBuf)>, Box<dyn std::error::Error>> {
+    let mut image_files = Vec::new();
+
+    for entry in fs::read_dir(path)? {
+        let entry = entry?;
+        let image_path = entry.path();
+
+        if image_path.is_file() {
+            if let Some(extension) = image_path.extension().and_then(|s| s.to_str()) {
+                let valid_extensions = ["jpg", "jpeg", "png", "gif", "webp", "bmp"];
+
+                if valid_extensions.contains(&extension.to_lowercase().as_str()) {
+                    let filename = image_path.file_name()
+                        .and_then(|s| s.to_str())
+                        .unwrap_or("unknown.jpg")
+                        .to_string();
+
+                    image_files.push((filename, image_path));
+                }
+            }
+        }
+    }
+
+    image_files.sort_by(|a, b| {
+        let num_a = a.0.chars()
+            .take_while(|c| c.is_ascii_digit())
+            .collect::<String>()
+            .parse::<u32>()
+            .unwrap_or(0);
+
+        let num_b = b.0.chars()
+            .take_while(|c| c.is_ascii_digit())
+            .collect::<String>()
+            .parse::<u32>()
+            .unwrap_or(0);
+
+        num_a.cmp(&num_b)
+    });
+
+    Ok(image_files)
+}
+
+fn get_image_info(image_path: &Path) -> Result<(i64, i32, i32), Box<dyn std::error::Error>> {
+    let metadata = fs::metadata(image_path)?;
+    let file_size = metadata.len() as i64;
+
+    let img = ::image::open(image_path)?;
+    let (width, height) = img.dimensions();
+
+    Ok((file_size, width as i32, height as i32))
+}
+
+async fn reimport_single_album(
+    db: &Database,
+    folder_name: &str,
+    path: &Path,
+    album_id: Uuid,
+) -> Result<usize, Box<dyn std::error::Error>> {
+    println!("📁 重新导入相册: {} (ID: {})", folder_name, album_id);
+
+    let index_file_path = path.join("index.json");
+    let album_title = if index_file_path.exists() {
+        match fs::read_to_string(&index_file_path) {
+            Ok(content) => {
+                match serde_json::from_str::<AlbumIndex>(&content) {
+                    Ok(index) => index.title,
+                    Err(_) => folder_name.to_string(),
+                }
+            }
+            Err(_) => folder_name.to_string(),
+        }
+    } else {
+        folder_name.to_string()
+    };
+
+    println!("   相册标题: {}", album_title);
+
+    let mut images_to_insert = Vec::new();
+    let image_extensions = ["jpg", "jpeg", "png", "gif", "webp", "bmp"];
+
+    let entries: Vec<_> = fs::read_dir(path)?.collect::<Result<Vec<_>, _>>()?;
+
+    for entry in entries {
+        let file_path = entry.path();
+        if file_path.is_file() {
+            if let Some(extension) = file_path.extension().and_then(|ext| ext.to_str()) {
+                if image_extensions.contains(&extension.to_lowercase().as_str()) {
+                    if let Some(filename) = file_path.file_name().and_then(|s| s.to_str()) {
+                        if filename == "index.json" {
+                            continue;
+                        }
+
+                        let (file_size, width, height) = match get_image_info(&file_path) {
+                            Ok(info) => info,
+                            Err(e) => {
+                                eprintln!("   获取图片信息失败 {}: {}", filename, e);
+                                continue;
+                            }
+                        };
+
+                        let image = CreateImage {
+                            album_id,
+                            filename: format!("{}/{}", folder_name, filename),
+                            original_url: Some(format!("/images/{}/{}", folder_name, filename)),
+                            title: Some(filename.to_string()),
+                            description: Some(String::new()),
+                            file_size,
+                            width,
+                            height,
+                            mime_type: match extension.to_lowercase().as_str() {
+                                "jpg" | "jpeg" => "image/jpeg".to_string(),
+                                "png" => "image/png".to_string(),
+                                "gif" => "image/gif".to_string(),
+                                "webp" => "image/webp".to_string(),
+                                "bmp" => "image/bmp".to_string(),
+                                _ => "application/octet-stream".to_string(),
+                            },
+                        };
+
+                        images_to_insert.push(image);
+                    }
+                }
+            }
+        }
+    }
+
+    println!("   发现 {} 张图片需要导入", images_to_insert.len());
+
+    batch_insert_images_and_set_cover(&db, images_to_insert, album_id, path, folder_name).await
+}
\ No newline at end of file
diff --git a/src/services/mod.rs b/src/services/mod.rs
new file mode 100644
index 0000000..e1d73b4
--- /dev/null
+++ b/src/services/mod.rs
@@ -0,0 +1,5 @@
+//! 服务层 — 导入、处理等业务逻辑
+
+pub mod import;
+
+pub use import::*;
\ No newline at end of file