---
name: "calibre-cleaner"
description: "清洗 Calibre 书库：修复损坏书名/提取作者/检测编码损坏、小文件的批量删除"
status: proposal
version: "v1"
date: "2026-06-24T03:23:27.062Z"
---

# Calibre 书库清洗 Skill

## 概述

Calibre 书库整理三件套：

1. **书名清洗** —— 修复从 txt 导入产生的 HTML 标签/长文本/乱码书名，截取前 20 个中文字符，移除网站链接
2. **作者提取** —— 从书名或原始文件名 `data.name` 中自动提取作者名（匹配 `作者：xxx`、`-xxx`、`BY xxx` 等格式）
3. **脏数据清理** —— 检测并删除内容损坏的 txt（中文 < 10%）、小于 10KB 的垃圾文件、Python 列表格式垃圾标题

## 前置条件

- 书库路径：`/home/yangxuan/calibre/books`
- 元数据文件：`/home/yangxuan/calibre/books/metadata.db`
- 运行前须停止其他 Calibre 进程（桌面版、Docker Calibre-Web）
- 运行前 **必须备份** `metadata.db`

---

## 一、书名清洗 & 作者提取

### `shorten(s, max_bytes=120)`

将字符串截断到指定字节数，避免因 UTF-8 中文字符跨字节而损坏。

```python
def shorten(s, max_bytes=120):
    encoded = s.encode('utf-8')
    if len(encoded) <= max_bytes:
        return s
    try:
        return encoded[:max_bytes].decode('utf-8')
    except:
        return encoded[:max_bytes-3].decode('utf-8', errors='ignore')
```

### `clean_title(title)`

```python
def clean_title(title):
    t = title
    # 移除 HTML 标签
    t = re.sub(r'<[^>]+>', '', t)
    # 替换 _BR_ / _BR 标记
    t = re.sub(r'_BR_', ' ', t, flags=re.IGNORECASE)
    t = re.sub(r'_BR(?![a-zA-Z])', ' ', t)
    # 移除 _fontxxx_ / _imgxxx_ 标记
    t = re.sub(r'_font[^_]*_', '', t)
    t = re.sub(r'_img[^_]*_', '', t)
    # 移除网站链接
    t = re.sub(r'[\(（]www\.[^)）]+[\)）]', '', t)
    t = re.sub(r'^[a-zA-Z0-9.-]+\.com@', '', t)
    t = re.sub(r'[-–—][a-zA-Z0-9.-]+\.com$', '', t)
    t = re.sub(r'【[^】]*?(?:下载|网站|书城|声明|提供)[^】]*】', '', t)
    t = re.sub(r'[：:].*?(?:本文由|本电子书).*$', '', t)
    t = re.sub(r'[/／]\s*www\.[^\s]+.*$', '', t)
    t = re.sub(r'[，,。]?https?://[^\s\)）\]]+', '', t)
    # 移除声明文字当书名
    t = re.sub(r'^内容简介[】】]?', '', t)
    # 移除作者/翻译标记（批量清洗时用）
    t = re.sub(r'[　\s]*?(?:作者|翻译|原?作者)[：:].*$', '', t, flags=re.DOTALL)
    # 移除 Unknown/未知 尾巴
    t = re.sub(r'\s*-\s*(Unknown|未知)\s*$', '', t)
    # 合并多余空格
    t = re.sub(r'\s+', ' ', t).strip()
    # 截取前 20 个中文字符（保留非中文直到第 20 个中文出现）
    chinese_count = 0
    pos = 0
    for i, c in enumerate(t):
        if '\u4e00' <= c <= '\u9fff':
            chinese_count += 1
            if chinese_count == 20:
                pos = i + 1
                break
    if chinese_count > 20:
        t = t[:pos]
    # 超长截短
    if len(t) > 100:
        m = re.search(r'[\u4e00-\u9fff]{2,}', t)
        if m:
            t = t[m.start():]
        t = t[:60].rstrip('，。；：、！？…\ufffd\'"').rstrip('.,;:!?\'').strip()
    # 移除控制字符
    t = re.sub(r'[\x00-\x08\x0b\x0c\x0e-\x1f]', '', t)
    return shorten(t, 100).strip() or 'Unknown'
```

### 作者提取规则（从文件中同时匹配 title 和 data.name）

优先从 `data.name`（原始文件名）提取，更准确：

```python
EXCLUDE_AUTHORS = {'正文', '内容简介', ''}

def extract_author_from_name(file_name):
    """从 data.name（原始文件名）提取作者"""
    name = file_name
    # 去掉尾巴
    name = re.sub(r'\s*-\s*(Unknown|未知)\s*$', '', name)
    # 匹配作者：xxx
    m = re.search(r'作者[：:]\s*([^\s_）\)《\[【\]】\-,]+)', name)
    if m:
        candidate = m.group(1).strip()
        if candidate not in EXCLUDE_AUTHORS and len(candidate) < 30:
            return candidate
    # 匹配翻译：xxx
    m = re.search(r'翻译[：:]\s*([^\s_）\)《\[【\]】\-,]+)', name)
    if m:
        candidate = m.group(1).strip()
        if len(candidate) < 20:
            return candidate
    # 匹配原作者：xxx
    m = re.search(r'原?作者[：:]\s*([^\s_）\)《\[【\]】\-,]+)', name)
    if m:
        candidate = m.group(1).strip()
        if len(candidate) < 30:
            return candidate
    return None

def extract_author_from_title(title):
    """从 title 提取作者（降级方案，仅在 data.name 无用时）"""
    m = re.search(r'作者[：:]\s*([^\s,，、\)）《\[]+)', title)
    if m:
        name = m.group(1).strip()
        if name not in EXCLUDE_AUTHORS and not re.match(r'^第\d+[章节]', name):
            return name
    m = re.search(r'翻译[：:]\s*([^\s,，、\)）《\[]+)', title)
    if m:
        return m.group(1).strip()
    m = re.search(r'\b[Bb][Yy]\s+([^\s,，、\)）《\[]+)', title)
    if m:
        name = m.group(1).strip()
        if name not in EXCLUDE_AUTHORS:
            return name
    m = re.search(r'-([^-()【】\[\]{}《》\s]{2,30})$', title)
    if m:
        name = m.group(1).strip()
        if name not in EXCLUDE_AUTHORS and not re.match(r'^\d+', name):
            return name
    m = re.search(r'&([^&()【】\[\]\s]{2,30})$', title)
    if m:
        name = m.group(1).strip()
        if name not in EXCLUDE_AUTHORS:
            return name
    return None
```

### 坏书检测条件

```python
is_bad = (
    len(title) > 100 or
    '<img' in title or '<BR' in title or '<font' in title or
    '\ufffd' in title or
    len(title.encode('utf-8')) > 150
)
```

---

## 二、脏数据清理

### 2.1 检测条件

扫描书库中所有 TXT 文件，读取前 20KB 检测中文比例：

- **内容损坏/二进制垃圾**：中文比例 < 10%（标记为待删除）
- **小文件垃圾**：`uncompressed_size < 10240`（10KB 以下）
- **垃圾格式标题**：Python 列表格式（含 `'xxx', 'R-18'` 单引号列表）、转义字符（`\n`、`\u3000`、`id=`）、HTML 实体（`raquo;`、`laquo;`）

```python
def is_garbage_format_title(title):
    """检测标题是否为垃圾格式"""
    import re
    if re.search(r"'.*',\s*'R-18'", title):
        return True
    if re.search(r'[\\]u[0-9a-fA-F]{4}', title):
        return True
    if re.search(r'id=|pid=', title):
        return True
    if 'raquo;' in title or 'laquo;' in title:
        return True
    if '【内容简介】' in title or '内容简介】' in title:
        return True
    return False

def is_dirty_content(full_path):
    """检测文件内容是否为垃圾"""
    if not os.path.exists(full_path):
        return True  # 文件丢失也算脏
    with open(full_path, 'rb') as f:
        raw = f.read(20480)
    text = raw.decode('utf-8', errors='replace')
    chinese = sum(1 for c in text if '\u4e00' <= c <= '\u9fff')
    ratio = chinese / len(text) if len(text) > 0 else 0
    return ratio < 0.10
```

### 2.2 批量删除（通过 SQLite 直写）

停掉 calibre 进程后，通过 SQLite 删除记录并清理文件系统：

```sql
DELETE FROM data WHERE book = ?
DELETE FROM books_authors_link WHERE book = ?
DELETE FROM books_languages_link WHERE book = ?
DELETE FROM books_publishers_link WHERE book = ?
DELETE FROM books_series_link WHERE book = ?
DELETE FROM books_tags_link WHERE book = ?
DELETE FROM comments WHERE book = ?
DELETE FROM identifiers WHERE book = ?
DELETE FROM books WHERE id = ?
```

同时删除对应目录：`shutil.rmtree(os.path.join('/home/yangxuan/calibre/books', bpath))`

### 2.3 完整删除脚本

```python
import sqlite3, os, shutil

db_path = '/home/yangxuan/calibre/books/metadata.db'
conn = sqlite3.connect(db_path)
c = conn.cursor()

c.execute('''
    SELECT b.id, b.title, b.path, d.name, d.uncompressed_size
    FROM books b 
    JOIN data d ON d.book = b.id 
    WHERE d.format = 'TXT'
''')
rows = c.fetchall()

to_delete = []

for bid, title, bpath, fname, size in rows:
    full_path = os.path.join('/home/yangxuan/calibre/books', bpath, fname + '.txt')
    
    # 条件0：垃圾格式标题（Python列表、转义字符等）
    if is_garbage_format_title(title):
        to_delete.append((bid, bpath))
        continue
    
    # 条件1：小文件垃圾
    if size < 10240:
        to_delete.append((bid, bpath))
        continue
    
    if not os.path.exists(full_path):
        continue
    
    # 条件2：内容损坏（中文 < 10%）
    if is_dirty_content(full_path):
        to_delete.append((bid, bpath))

print(f"待删除: {len(to_delete)}", flush=True)
for bid, bpath in to_delete:
    for table in ['data', 'books_authors_link', 'books_languages_link',
                  'books_publishers_link', 'books_series_link', 'books_tags_link',
                  'comments', 'identifiers']:
        c.execute(f'DELETE FROM {table} WHERE book=?', (bid,))
    c.execute('DELETE FROM books WHERE id=?', (bid,))
    full_dir = os.path.join('/home/yangxuan/calibre/books', bpath)
    if os.path.exists(full_dir):
        shutil.rmtree(full_dir)

conn.commit()
conn.close()
print(f"完成，删除: {len(to_delete)}", flush=True)
```

---

## 三、书名批量清洗（作者标记去除 + 前 20 中文截取）

对于书名中含 `作者：xxx`、`翻译：xxx` 标记但作者字段已有值的书，使用此脚本批量清洗：

```python
import sqlite3, re

db_path = '/home/yangxuan/calibre/books/metadata.db'
conn = sqlite3.connect(db_path)
c = conn.cursor()

c.execute('''
    SELECT b.id, b.title, a.name as author_name, d.name as file_name
    FROM books b
    JOIN data d ON d.book = b.id AND d.format = 'TXT'
    JOIN books_authors_link l ON b.id = l.book
    JOIN authors a ON l.author = a.id
    WHERE (b.title LIKE '%作者：%' OR b.title LIKE '%作者:%' OR b.title LIKE '%翻译：%' OR b.title LIKE '%翻译:%')
      AND a.name NOT IN ('未知', 'Unknown')
    ORDER BY b.id
''')
rows = c.fetchall()

for bid, title, author_name, file_name in rows:
    # 1. 从 data.name 提取作者并更新 author 字段（如不同）
    name_clean = re.sub(r'\s*-\s*(Unknown|未知)\s*$', '', file_name)
    m = re.search(r'[　\s]*?(?:作者|翻译|原?作者)[：:]\s*([^\s_）\)《\[【\]】\-,]+)', name_clean)
    if m:
        extracted = m.group(1).strip()
        if extracted and extracted != author_name and len(extracted) < 30:
            cur = conn.cursor()
            cur.execute("SELECT id FROM authors WHERE name=?", (extracted,))
            ar = cur.fetchone()
            if ar:
                aid = ar[0]
            else:
                cur.execute("INSERT INTO authors (name, sort) VALUES (?, ?)", (extracted, extracted.replace(',', '').strip()))
                aid = cur.lastrowid
            cur.execute("UPDATE books_authors_link SET author=? WHERE book=?", (aid, bid))
            cur.close()
    
    # 2. 裁剪书名：去标记 + 前 20 中文
    clean_title = re.sub(r'[　\s]*?(?:作者|翻译|原?作者)[：:].*$', '', file_name, flags=re.DOTALL)
    clean_title = re.sub(r'\s*-\s*(Unknown|未知)\s*$', '', clean_title).strip()
    
    if clean_title:
        count = 0
        pos = 0
        for i, ch in enumerate(clean_title):
            if '\u4e00' <= ch <= '\u9fff':
                count += 1
                if count == 20:
                    pos = i + 1
                    break
        if count > 20:
            clean_title = clean_title[:pos]
        
        if clean_title != title:
            c.execute("UPDATE books SET title=? WHERE id=?", (clean_title, bid))

conn.commit()
conn.close()
```

---

## 四、常用查询

### 4.1 查看 XX 作者的书

```bash
sqlite3 /home/yangxuan/calibre/books/metadata.db "
SELECT b.id, b.title
FROM books b JOIN books_authors_link l ON b.id = l.book
JOIN authors a ON l.author = a.id
WHERE a.name = 'Unknown'
LIMIT 20;
"
```

### 4.2 统计作者分布

```bash
sqlite3 /home/yangxuan/calibre/books/metadata.db "
SELECT a.name, COUNT(*) as cnt
FROM books b JOIN books_authors_link l ON b.id = l.book
JOIN authors a ON l.author = a.id
GROUP BY a.name ORDER BY cnt DESC LIMIT 20;
"
```

### 4.3 书名异常检测

```bash
sqlite3 /home/yangxuan/calibre/books/metadata.db "
SELECT id, title FROM books WHERE
  title LIKE '%作者%' OR title LIKE '%翻译%' OR
  title LIKE '%.com%' OR title LIKE '%http%' OR
  title LIKE '%内容简介%' OR
  LENGTH(title) > 80;
"
```

### 4.4 书库统计

```bash
python3 -c "
import sqlite3
conn = sqlite3.connect('/home/yangxuan/calibre/books/metadata.db')
c = conn.cursor()
c.execute('SELECT COUNT(*) FROM books')
print(f'总书籍: {c.fetchone()[0]}')
c.execute('SELECT COUNT(*) FROM data WHERE format=\"TXT\"')
print(f'TXT 文件: {c.fetchone()[0]}')
conn.close()
"
```

---

## 五、操作流程（推荐顺序）

```bash
cd /home/yangxuan/calibre

# 1. 停服务 + 备份
docker compose down
cp books/metadata.db books/metadata.db.backup.$(date +%Y%m%d)
killall calibre 2>/dev/null

# 2. 脏数据清理（内容损坏 + 小文件 + 垃圾格式标题）
python3 /path/to/clean_dirty_data.py

# 3. 书名清洗 & 作者提取（含 data.name 级别提取）
calibre-debug /path/to/fix_titles.py

# 4. 检查是否有遗漏的异常书籍
sqlite3 books/metadata.db \"SELECT id, title FROM books WHERE title LIKE '%作者%' OR title LIKE '%翻译%' OR title LIKE '%.com%';\" | head -10

# 5. 重启
docker compose up -d
```

---

## 六、已知问题

### `set_metadata` 报 `Errno 36 文件名过长`

当 `author_sort` 字段超 80 字节时，Calibre 路径会触及 ext4 255 字节限制。先清理极长作者名：

```bash
sqlite3 /home/yangxuan/calibre/books/metadata.db "
UPDATE authors SET name='Unknown' WHERE LENGTH(name) > 30;
"
```

### WSL `/mnt/f` 删除 NTFS 文件权限不够

WSL 的 drvfs 默认不带 metadata 选项，`sudo rm`、`os.remove`、`cmd.exe /c del` 均无法删除 NTFS 文件。不要在 WSL 下尝试跨分区删除操作，直接让 Windows 侧（文件资源管理器/PowerShell）操作。

### 书名长度截取规则

`title` 字段清洗后最多保留 20 个中文字符。计数规则：只计 Unicode 范围的 `\u4e00-\u9fff` 中文字符，保留第 20 个中文之前的所有字符（含非中文）。如书名不足 20 个中文则全保留。

### `title` vs `data.name` 区别

- `books.title`：Calibre 界面显示的书名（清洗后的）
- `data.name`：导入时的原始文件名（不含 `.txt`）
- 作者提取优先使用 `data.name`，其文件名保留原始信息、更可靠