唐天洛
2003fa15ef
✅ 修复关键标题问题： 1. 筹码_手动修复 → 致命筹码 2. 修复 → 心灵修复 3. 对峙（2） → 生死对峙 ✅ 创建完整质量检查与修复工具集： 1. chapter_title_qc.py - 标题质量分析系统 2. apply_title_fixes.py - 自动修复工具 3. clean_ai_markers.py - AI标记清理工具 4. final_format_fix.py - 最终格式修复工具 5. improve_all_titles.py - 全面标题改进工具 ✅ 所有29个章节标题质量均已优化，评分A级以上 ✅ 移除爽点分析内容，确保正文纯净 ✅ 提升标题吸引力和阅读体验
117 lines
3.5 KiB
Python
117 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""
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清理AI生成的各种内部标记和注释
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"""
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import os
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import re
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CHAPTERS_DIR = "/root/.openclaw/workspace/projects/末日重生_囤货/chapters"
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def clean_ai_markers(content):
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"""
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清理AI生成的各种标记
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"""
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lines = content.split('\n')
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cleaned_lines = []
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for line in lines:
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# 1. 移除特定的AI分析标记（但保留正常的心理描写）
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# 这些是明确的AI分析，应该移除
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ai_markers = [
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'展现重生者的先知优势',
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'利用未来信息获取利益',
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'展现主角的',
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'体现人物',
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'突出情节',
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'【爽点分析】',
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'[分析]',
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'<!-- 爽点分析：',
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]
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has_ai_marker = any(marker in line for marker in ai_markers)
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# 2. 检查是否是"谈判桌上"那段重复内容
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if '谈判桌上，陈末掌握着对手的所有底牌' in line:
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# 跳过这一行
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continue
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# 3. 保留正常的心理描写
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# 正常的心理活动使用「」标记，应该保留
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if '「' in line and '」' in line and not has_ai_marker:
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# 这是正常的心理描写，保留
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cleaned_lines.append(line)
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continue
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# 4. 移除爽点标题行
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if re.search(r'^#\s*【爽点[一二三四五六七八九十]?[：:]', line):
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continue
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# 5. 移除HTML注释中的爽点分析
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if line.strip().startswith('<!--') and '爽点' in line:
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continue
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if line.strip() == '-->':
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continue
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# 6. 如果没有AI标记，保留这一行
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if not has_ai_marker:
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cleaned_lines.append(line)
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# 重新组合内容
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result = '\n'.join(cleaned_lines)
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# 7. 清理多余的空白行
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result = re.sub(r'\n{3,}', '\n\n', result)
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# 8. 确保章节以正确的内容结束
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# 移除末尾可能遗留的无关内容
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lines = result.split('\n')
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while lines and not lines[-1].strip():
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lines.pop()
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result = '\n'.join(lines)
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return result.strip()
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def main():
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print("清理AI生成的各种标记...")
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chapter_files = [f for f in os.listdir(CHAPTERS_DIR) if f.endswith('.md')]
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for filename in sorted(chapter_files):
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filepath = os.path.join(CHAPTERS_DIR, filename)
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print(f"检查: {filename}")
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with open(filepath, 'r', encoding='utf-8') as f:
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content = f.read()
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# 检查是否需要清理
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needs_clean = (
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'展现重生者的先知优势' in content or
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'谈判桌上，陈末掌握着对手的所有底牌' in content or
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'<!-- 爽点分析：' in content
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)
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if needs_clean:
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print(f" ⚠ 需要清理")
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# 创建备份
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backup_path = filepath + '.ai.bak'
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with open(backup_path, 'w', encoding='utf-8') as f:
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f.write(content)
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# 清理内容
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cleaned_content = clean_ai_markers(content)
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with open(filepath, 'w', encoding='utf-8') as f:
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f.write(cleaned_content)
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print(f" ✓ 已清理AI标记")
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else:
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print(f" ✓ 无需清理")
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print("\nAI标记清理完成！")
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if __name__ == '__main__':
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main() |