---
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: "2026-06-24T02:29:02.278Z"
---

# 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
2. **作者提取** —— 从书名中自动提取作者名（匹配 `作者：xxx`、`-xxx`、`BY xxx` 等格式）
3. **脏数据清理** —— 检测并删除编码损坏的 txt、小于 10KB 的垃圾文件

## 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

（详见 skill 原内容，此处保留完整清洗逻辑）

---

## 二、脏数据清理

### 2.1 检测编码损坏的 TXT

检测条件：中文比例 < 10% 且含有乱码字符（`Ŀ¼ĴƿȿɿʼÈÌÒÙ（` 等 UTF-8 编码错误字）

```python
import sqlite3, os

bad_char_set = set('Ŀ¼ĴƿȿɿʼÈÌÒÙ（')
bad_ids = []

for bid, title, bpath, fname in rows:
    full_path = os.path.join('/home/yangxuan/calibre/books', bpath, fname + '.txt')
    if not os.path.exists(full_path):
        continue
    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')
    total = len(text)
    ratio = chinese / total if total > 0 else 0
    has_bad = any(c in bad_char_set for c in text)
    if ratio < 0.10 and has_bad:
        bad_ids.append(bid)
```

### 2.2 检测小文件

```python
c.execute('''
    SELECT b.id, b.path FROM books b 
    JOIN data d ON d.book = b.id 
    WHERE d.format = 'TXT' AND d.uncompressed_size < 10240
''')
```

### 2.3 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))`

### 2.4 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()

bad_char_set = set('Ŀ¼ĴƿȿɿʼÈÌÒÙ（')
to_delete = []

for bid, title, bpath, fname, size in rows:
    full_path = os.path.join('/home/yangxuan/calibre/books', bpath, fname + '.txt')
    if not os.path.exists(full_path):
        continue
    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
    has_bad = any(c in bad_char_set for c in text)
    if (ratio < 0.10 and has_bad) or size < 10240:
        to_delete.append((bid, bpath))

print(f"待删除: {len(to_delete)}")
for bid, bpath in to_delete:
    c.execute('DELETE FROM data WHERE book=?', (bid,))
    c.execute('DELETE FROM books_authors_link WHERE book=?', (bid,))
    c.execute('DELETE FROM books_languages_link WHERE book=?', (bid,))
    c.execute('DELETE FROM books_publishers_link WHERE book=?', (bid,))
    c.execute('DELETE FROM books_series_link WHERE book=?', (bid,))
    c.execute('DELETE FROM books_tags_link WHERE book=?', (bid,))
    c.execute('DELETE FROM comments WHERE book=?', (bid,))
    c.execute('DELETE FROM identifiers 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)}")
```

---

## 三、常用操作

### 3.1 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;
"
```

### 3.2 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;
"
```

### 3.3 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()
"
```

---

## 四、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（编码损坏 + 小文件）
python3 /path/to/clean_dirty_data.py

# 3. 书名清洗 & 作者提取
calibre-debug /path/to/fix_titles.py

# 4. 重启
docker compose up -d
```

---

## 五、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。