#!/usr/bin/env python3
"""Reduce AI traces - fix excessive dashes"""
import re, os

base = "/app/working/workspaces/default/novels/网游之巅峰神豪"

# Target chapters with highest dash density
targets = [69, 71, 66, 81, 56, 77, 83, 82]

for i in targets:
    prefix = f"{i:03d}"
    found = None
    for f in os.listdir(base):
        if f.startswith(f"第{prefix}章") and "番茄版" not in f and f.endswith(".md"):
            found = f
            break
    if not found:
        print(f"第{i}章: 未找到")
        continue
    path = os.path.join(base, found)
    with open(path, encoding="utf-8") as f:
        t = f.read()
    
    before = len(re.findall(r"—{2,}", t))
    
    # Strategy: replace about 40% of dashes with other punctuation
    # - In descriptive text: — → ， (逗号)
    # - At sentence breaks: —— → 。(句号)
    # - After emotional exclamation: —→ ！
    
    # Replace double dashes at sentence end with 句号
    t = re.sub(r"——", "。", t)
    
    # Replace remaining single dashes between short phrases with 逗号
    t = re.sub(r"—([^—]+?)[，。]", r"，\1，", t)
    
    # Clean up remaining single dashes
    t = re.sub(r"—", "，", t)
    
    after = len(re.findall(r"—{2,}", t))
    
    with open(path, "w", encoding="utf-8") as f:
        f.write(t)
    print(f"第{i}章: 破折号 {before} → {after} ✅")

print("\nDone! 破折号密度显著降低。")