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
343 lines
12 KiB
Python
343 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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章节标题质量检查与修复系统
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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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class ChapterTitleQC:
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def __init__(self):
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# 番茄小说优质标题特征
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self.good_title_patterns = [
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r'^[\u4e00-\u9fa5]{2,8}$', # 2-8个汉字
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r'.*[？！，。]?$', # 可以有标点
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]
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# 需要修复的标题模式
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self.bad_title_patterns = [
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(r'_', '标题中不应有下划线'), # 下划线
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(r'（\d+）', '不应有括号数字'), # 括号数字
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(r'\d+', '标题中不应有数字（除章节号外）'), # 数字
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(r'修复|修复版|手动修复|fixed', '不应有技术性词汇'), # 技术词汇
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(r'^[\u4e00-\u9fa5]{1,2}$', '标题太短（1-2字）'), # 太短
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(r'^[\u4e00-\u9fa5]{9,}$', '标题太长（9字以上）'), # 太长
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]
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# 末世重生题材的优质标题词汇库
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self.good_keywords = [
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# 动作类
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'觉醒', '重生', '囤货', '末日', '降临', '爆发', '危机', '求生',
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'逃亡', '生存', '挣扎', '抉择', '博弈', '对峙', '谈判', '交易',
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'契约', '联盟', '背叛', '复仇', '救赎', '重生', '逆袭',
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# 情绪类
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'绝望', '希望', '恐惧', '勇气', '疯狂', '冷静', '煎熬', '挣扎',
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'痛苦', '解脱', '抉择', '迷茫', '坚定', '愤怒', '悲伤', '喜悦',
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# 场景类
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'暗流', '冰点', '暗影', '铁锈', '钢渣', '焊火', '铁门', '电网',
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'仓库', '基地', '避难所', '安全屋', '堡垒', '防线', '围城',
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# 时间类
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'倒计时', '最后时刻', '黎明前', '黄昏后', '末日钟', '生死线',
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# 冲突类
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'对决', '交锋', '冲突', '对抗', '挑战', '考验', '试炼', '陷阱',
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]
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# 章节标题改进建议库
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self.title_improvements = {
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'筹码_手动修复': '致命筹码',
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'对峙（2）': '生死对峙',
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'焊火': '烈焰焊火',
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'铁锈': '锈蚀阴谋',
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'钢渣': '钢铁意志',
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'铁门': '钢铁之门',
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'充电': '能量重启',
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'倒计时': '末日倒计时',
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'质询': '致命质询',
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'断水': '水源危机',
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'昏沉': '意识迷途',
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'电话': '致命来电',
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'煎熬': '生死煎熬',
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'钢渣': '熔炉考验',
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'赴约': '死亡之约',
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'抉择': '命运抉择',
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'交付': '生死交付',
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'暗影': '暗影重重',
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'决断': '生死决断',
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'博弈': '末日博弈',
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'修复': '心灵修复',
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}
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def analyze_title(self, title):
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"""分析标题质量"""
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issues = []
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score = 100 # 满分100分
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# 检查标题长度
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if len(title) < 2:
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issues.append("标题太短（少于2字）")
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score -= 30
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elif len(title) > 8:
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issues.append("标题太长（超过8字）")
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score -= 20
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# 检查是否有下划线
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if '_' in title:
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issues.append("标题包含下划线")
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score -= 25
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# 检查是否有括号数字
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if re.search(r'（\d+）', title):
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issues.append("标题包含括号数字")
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score -= 25
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# 检查是否有技术词汇
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tech_words = ['修复', '修复版', '手动修复', 'fixed', '备份', '版本']
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for word in tech_words:
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if word in title:
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issues.append(f"标题包含技术词汇'{word}'")
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score -= 30
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break
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# 检查标题吸引力
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has_good_keyword = any(keyword in title for keyword in self.good_keywords)
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if not has_good_keyword and len(title) >= 2:
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issues.append("标题缺乏吸引力关键词")
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score -= 15
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# 根据问题数量调整分数
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if len(issues) > 3:
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score -= (len(issues) - 3) * 5
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# 确保分数在0-100之间
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score = max(0, min(100, score))
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return {
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'title': title,
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'score': score,
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'issues': issues,
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'grade': self.get_grade(score)
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}
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def get_grade(self, score):
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"""根据分数获取等级"""
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if score >= 90:
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return "A+ (优秀)"
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elif score >= 80:
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return "A (良好)"
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elif score >= 70:
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return "B+ (一般)"
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elif score >= 60:
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return "B (及格)"
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else:
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return "C (需要改进)"
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def suggest_improvement(self, original_title):
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"""提供标题改进建议"""
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# 优先使用改进建议库
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if original_title in self.title_improvements:
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return self.title_improvements[original_title]
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# 分析原标题，提供智能建议
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suggestions = []
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# 如果标题有下划线，移除
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if '_' in original_title:
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clean_title = original_title.replace('_', '')
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suggestions.append(clean_title)
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# 如果标题有括号数字，移除
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if re.search(r'（\d+）', original_title):
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clean_title = re.sub(r'（\d+）', '', original_title)
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suggestions.append(clean_title)
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# 添加增强词汇
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for keyword in self.good_keywords:
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if len(original_title) < 4 and keyword not in original_title:
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enhanced = f"{original_title}{keyword}"
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if len(enhanced) <= 6:
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suggestions.append(enhanced)
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# 返回最佳建议
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if suggestions:
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# 选择最短且最有吸引力的建议
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suggestions.sort(key=lambda x: (len(x), -sum(1 for k in self.good_keywords if k in x)))
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return suggestions[0]
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return original_title
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def generate_alternative_titles(self, chapter_num, content_preview=""):
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"""为章节生成备选标题"""
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alternatives = []
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# 根据章节内容分析主题
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themes = self.analyze_content_themes(content_preview)
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# 生成基于主题的标题
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for theme in themes[:3]: # 取前3个主题
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for keyword in self.good_keywords:
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if keyword not in theme and len(theme + keyword) <= 6:
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title = f"{theme}{keyword}"
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alternatives.append(title)
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# 添加一些通用优质标题
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generic_titles = [
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f"第{chapter_num}次抉择",
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f"生死第{chapter_num}关",
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f"末日倒计时{chapter_num}",
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f"重生第{chapter_num}步",
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f"危机第{chapter_num}重",
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]
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alternatives.extend(generic_titles)
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return list(set(alternatives))[:5] # 去重并返回前5个
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def analyze_content_themes(self, content):
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"""从内容中分析主题"""
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themes = []
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# 简单关键词提取
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theme_keywords = {
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'谈判': ['谈判', '对话', '商议', '讨价还价'],
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'冲突': ['冲突', '对抗', '战斗', '争执'],
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'危机': ['危机', '危险', '威胁', '困境'],
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'生存': ['生存', '活下去', '求生', '保命'],
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'物资': ['物资', '食物', '水', '药品', '装备'],
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'阴谋': ['阴谋', '算计', '陷阱', '诡计'],
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'合作': ['合作', '联盟', '联手', '结盟'],
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'背叛': ['背叛', '出卖', '背叛', '反目'],
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}
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for theme, keywords in theme_keywords.items():
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for keyword in keywords:
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if keyword in content[:500]: # 只检查前500字
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themes.append(theme)
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break
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return themes if themes else ['未知']
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def main():
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print("📚 章节标题质量检查系统")
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print("=" * 50)
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qc = ChapterTitleQC()
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# 获取所有章节文件
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chapter_files = [f for f in os.listdir(CHAPTERS_DIR) if f.endswith('.md')]
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# 按章节号排序
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chapter_files.sort(key=lambda x: int(re.search(r'ch(\d+)', x).group(1)) if re.search(r'ch(\d+)', x) else 0)
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print(f"共发现 {len(chapter_files)} 个章节")
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print()
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# 分析每个章节标题
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results = []
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for filename in chapter_files:
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filepath = os.path.join(CHAPTERS_DIR, filename)
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# 提取章节号和标题
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match = re.search(r'ch(\d+)-第\d+章\s+(.+)\.md', filename)
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if not match:
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continue
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chapter_num = match.group(1)
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original_title = match.group(2)
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# 读取部分内容用于分析
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with open(filepath, 'r', encoding='utf-8') as f:
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content_preview = f.read(500) # 读取前500字
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# 分析标题质量
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analysis = qc.analyze_title(original_title)
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# 获取改进建议
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suggested_title = qc.suggest_improvement(original_title)
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# 生成备选标题
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alternatives = qc.generate_alternative_titles(chapter_num, content_preview)
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results.append({
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'chapter_num': chapter_num,
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'filename': filename,
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'original_title': original_title,
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'analysis': analysis,
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'suggested_title': suggested_title,
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'alternatives': alternatives,
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})
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# 显示结果
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print("📊 标题质量报告:")
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print("-" * 80)
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poor_titles = []
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good_titles = []
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for result in results:
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print(f"第{result['chapter_num']}章: {result['original_title']}")
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print(f" 评分: {result['analysis']['score']}/100 ({result['analysis']['grade']})")
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if result['analysis']['issues']:
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print(f" 问题: {', '.join(result['analysis']['issues'])}")
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poor_titles.append(result)
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else:
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print(f" 状态: ✅ 良好")
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good_titles.append(result)
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if result['original_title'] != result['suggested_title']:
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print(f" 建议: {result['suggested_title']}")
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print()
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# 显示统计信息
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print("📈 统计信息:")
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print(f" 优秀标题: {len([r for r in results if r['analysis']['score'] >= 80])}")
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print(f" 需要改进: {len(poor_titles)}")
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print(f" 良好标题: {len(good_titles)}")
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# 如果需要改进的标题较多，提供修复选项
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if poor_titles:
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print("\n🔧 需要修复的标题:")
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for i, result in enumerate(poor_titles, 1):
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print(f" {i}. 第{result['chapter_num']}章: {result['original_title']} → {result['suggested_title']}")
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print("\n💡 运行修复命令:")
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print(" python3 tools/apply_title_fixes.py")
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# 保存报告
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save_report(results)
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def save_report(results):
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"""保存质量检查报告"""
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report_path = os.path.join(CHAPTERS_DIR, "../chapter_title_qc_report.md")
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with open(report_path, 'w', encoding='utf-8') as f:
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f.write("# 章节标题质量检查报告\n\n")
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f.write(f"生成时间: {os.popen('date').read().strip()}\n")
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f.write(f"总章节数: {len(results)}\n\n")
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f.write("## 标题质量分析\n\n")
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f.write("| 章节 | 原标题 | 评分 | 等级 | 问题 | 建议标题 |\n")
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f.write("|------|--------|------|------|------|----------|\n")
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for result in results:
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issues = '; '.join(result['analysis']['issues']) if result['analysis']['issues'] else '无'
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suggested = result['suggested_title'] if result['original_title'] != result['suggested_title'] else '无'
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f.write(f"| {result['chapter_num']} | {result['original_title']} | {result['analysis']['score']} | {result['analysis']['grade']} | {issues} | {suggested} |\n")
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f.write("\n## 改进建议\n\n")
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f.write("1. 移除标题中的下划线和技术词汇\n")
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f.write("2. 避免使用括号数字\n")
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f.write("3. 标题长度建议2-6个字\n")
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f.write("4. 使用更具吸引力的关键词\n")
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print(f"\n📄 报告已保存: {report_path}")
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if __name__ == '__main__':
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main() |