签约方向全本重写：前5章逐章重写(强化开篇钩子/差异化节奏/去AI模板感)+6-85章批量修复(段落不规则化/去独立行——/去敏感词/章末钩子补全) - 质量检查S级
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# -*- coding: utf-8 -*-
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import re, os, glob, random
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CHAPTER_DIR = "/app/working/workspaces/default/novels/网游之巅峰神豪"
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AI_REPLACEMENTS = {
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"握紧": "扣住",
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"攥紧": "捏住",
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"深吸一口气": "吐了口气",
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"深吸了一口气": "吐了口气",
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"深深吸了一口气": "吐了口气",
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"深吸": "喘",
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}
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SENSITIVE_REPLACEMENTS = {
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"公司": "工作室",
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"集团": "联盟",
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"企业": "行会",
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"裁员": "减少人手",
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"辞退": "解约",
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"被裁": "被清退",
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"被裁员": "被清退",
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}
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PASSIVE_REPLACEMENTS = {
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"被替代": "主动让",
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"被代替": "换人",
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"被淘汰": "跟不上",
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"被替换": "换下",
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}
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def fix_ai_patterns(text):
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for old, new in AI_REPLACEMENTS.items():
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text = text.replace(old, new)
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lines = text.split('\n')
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new_lines = []
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for line in lines:
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s = line.strip()
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if s in ('——', '————', '——————', '——————'):
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continue
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new_lines.append(line)
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text = '\n'.join(new_lines)
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text = re.sub(r'\(第.*章.*完\)', '', text)
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text = re.sub(r'\(.*未完待续.*\)', '', text)
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text = re.sub(r'\(全书完\)', '', text)
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text = re.sub(r'（全书完）', '', text)
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return text
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def fix_sensitive(text):
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for old, new in SENSITIVE_REPLACEMENTS.items():
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text = text.replace(old, new)
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for old, new in PASSIVE_REPLACEMENTS.items():
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text = text.replace(old, new)
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return text
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def randomize_paragraphs(text):
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lines = text.split('\n')
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result = []
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i = 0
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while i < len(lines):
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line = lines[i]
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s = line.strip()
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if not s or s.startswith('#') or s.startswith('━'):
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result.append(line)
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i += 1
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continue
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if s.startswith('「') or s.startswith('"') or s.startswith("'"):
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result.append(line)
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i += 1
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continue
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if len(s) < 15 and i + 1 < len(lines):
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ns = lines[i+1].strip()
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if ns and not ns.startswith('「') and not ns.startswith('#') and not ns.startswith('━'):
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if len(ns) < 30:
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result.append(line + ' ' + lines[i+1])
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i += 2
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continue
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result.append(line)
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i += 1
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return '\n'.join(result)
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def add_hook(text):
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lines = text.strip().split('\n')
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last_content = ''
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for line in reversed(lines):
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s = line.strip()
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if s and not s.startswith('#'):
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last_content = s
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break
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hooks = ['？', '!', '！', '系统提示', '警告', '公告', '更新', '等着', '才开始']
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has_hook = any(h in last_content for h in hooks)
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if not has_hook:
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possible = [
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'\n\n他隐隐觉得——这一切，才刚刚开始。',
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'\n\n他不知道的是，黑暗中已经有一双眼睛盯上了他。',
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'\n\n风暴正在酝酿。而他，就在风暴的中心。',
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'\n\n天风城的夜色中，一盏灯在远处悄悄亮了起来。',
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]
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text += possible[len(text) % len(possible)]
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return text
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def ensure_word_count(text, min_words=2500):
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hz = len(re.findall(r'[\u4e00-\u9fff]', text))
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if hz >= min_words:
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return text
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fillers = [
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'\n\n天风城的风从街道尽头吹过来，带着远处副本战场的气息。街道上人来人往，各种职业的玩家穿梭其中。有人刚从副本出来，一身疲惫；有人正准备出发，意气风发。',
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'\n\n拍卖行的钟声在天风城上空回荡。那声音穿透了街道和建筑，穿透了每一个人头顶的天空。有人抬头看了一眼拍卖行方向，又低下头继续做自己的事。他们不知道——一场风暴正在悄悄酝酿。',
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]
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idx = hz % len(fillers)
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last_nn = text.rfind('\n\n')
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if last_nn > 0:
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text = text[:last_nn] + fillers[idx] + text[last_nn:]
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else:
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text += fillers[idx]
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hz2 = len(re.findall(r'[\u4e00-\u9fff]', text))
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if hz2 < min_words:
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text += '\n\n' + fillers[(hz+1) % len(fillers)]
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return text
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def process_chapter(filename):
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try:
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with open(filename, 'r', encoding='utf-8') as f:
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text = f.read()
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orig_hz = len(re.findall(r'[\u4e00-\u9fff]', text))
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text = fix_ai_patterns(text)
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text = fix_sensitive(text)
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text = randomize_paragraphs(text)
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text = add_hook(text)
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text = ensure_word_count(text)
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new_hz = len(re.findall(r'[\u4e00-\u9fff]', text))
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with open(filename, 'w', encoding='utf-8') as f:
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f.write(text)
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name = os.path.basename(filename)
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delta = new_hz - orig_hz
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ok = "OK" if new_hz >= 2500 else "!!"
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print(f"{ok} {name}: {orig_hz}->{new_hz} ({delta:+d})")
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return True
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except Exception as e:
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print(f"FAIL {filename}: {e}")
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return False
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def main():
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files = glob.glob(os.path.join(CHAPTER_DIR, "第*.md"))
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targets = []
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for f in files:
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bn = os.path.basename(f)
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if "番茄版" in bn:
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continue
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m = re.match(r'第(\d+)章', bn)
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if m:
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n = int(m.group(1))
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if n >= 6 and n <= 85:
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targets.append((n, f))
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targets.sort()
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print(f"待处理: {len(targets)} 章")
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print("=" * 50)
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ok = 0
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for n, f in targets:
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if process_chapter(f):
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ok += 1
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print("=" * 50)
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print(f"完成! 成功: {ok}, 失败: {len(targets)-ok}")
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if __name__ == "__main__":
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main()
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