6.1 KiB
6.1 KiB
name, description, status, version, date
| name | description | status | version | date |
|---|---|---|---|---|
| calibre-cleaner | 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 | proposal | v1 | 2026-06-24T02:29:02.278Z |
Calibre 书库清洗 Skill
概述
Calibre 书库整理三件套:
- 书名清洗 —— 修复从 txt 导入产生的 HTML 标签/长文本/乱码书名
- 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) - 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)
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
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:
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
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
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
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
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)
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:
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。