import os
import re
import uuid
import sys
from datetime import datetime

# UTF-8 출력 보정
if sys.stdout.encoding != 'utf-8':
    import io
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')

base_dir = r"e:\Wiki\2nd"
raw_dir = os.path.join(base_dir, "00_Raw", "2026-04-20")
wiki_base = os.path.join(base_dir, "10_Wiki", "💡 Topics")

batch_files = [
    "3D Gaussian Splatting (3DGS).md",
    "3D Web-based HMI.md",
    "ABA(Applied Behavior Analysis).md",
    "Abstract Syntax Tree (AST).md",
    "Accessibility (A11y).md",
    "Addiction Neuroscience.md",
    "Adaptive-Learning-Systems.md",
    "Adversarial Attack (적대적 공격).md",
    "ACL-Injury-Prevention-Protocols.md",
    "API-First Architecture.md"
]

mapping = {
    "3D Gaussian Splatting (3DGS).md": "Graphics & Performance",
    "3D Web-based HMI.md": "Automation & Industry",
    "ABA(Applied Behavior Analysis).md": "Psychology & Behavior",
    "Abstract Syntax Tree (AST).md": "Programming & Language",
    "Accessibility (A11y).md": "Design & Experience",
    "Addiction Neuroscience.md": "Psychology & Behavior",
    "Adaptive-Learning-Systems.md": "Education & AI",
    "Adversarial Attack (적대적 공격).md": "Security & AI",
    "ACL-Injury-Prevention-Protocols.md": "Health & Science",
    "API-First Architecture.md": "Software Architecture"
}

def wikify(filename):
    raw_path = os.path.join(raw_dir, filename)
    if not os.path.exists(raw_path):
        print(f"File not found: {raw_path}")
        return
        
    with open(raw_path, "r", encoding="utf-8") as f:
        content = f.read()
        
    title_match = re.search(r'^#\s*\[\[(.*?)\]\]', content, re.M)
    if not title_match:
        title_match = re.search(r'^\[\[(.*?)\]\]', content, re.M)
    
    title = title_match.group(1) if title_match else filename.replace(".md", "")
    sub_folder = mapping.get(filename, "Uncategorized")
    category_path = f"10_Wiki/💡 Topics/{sub_folder}"
    
    # Extract sections
    summary_match = re.search(r'##?\s*📌\s*Brief Summary\n(.*?)(?=\n##|$)', content, re.S)
    summary = summary_match.group(1).strip() if summary_match else ""
    
    core_match = re.search(r'##?\s*📖\s*Core Content\n(.*?)(?=\n##|$)', content, re.S)
    core = core_match.group(1).strip() if core_match else ""
    
    conn_match = re.search(r'##?\s*🔗\s*Knowledge Connections\n(.*?)(?=\n##|$)', content, re.S)
    conn = conn_match.group(1).strip() if conn_match else ""

    doc_id = f"P-REINFORCE-AI-{uuid.uuid4().hex[:6].upper()}"
    today = datetime.now().strftime("%Y-%m-%d")
    
    wiki_content = f"""---
id: {doc_id}
category: "[[{category_path}]]"
confidence_score: 0.95
tags: []
last_reinforced: {today}
github_commit: "[P-Reinforce] Batch 9 - Wikified {title}"
---

# [[{title}]]

## 📌 한 줄 통찰 (The Karpathy Summary)
> {summary}

## 📖 구조화된 지식 (Synthesized Content)
{core}

## ⚠️ 모순 및 업데이트 (Contradictions & RL Update)
- **과거 데이터와의 충돌:** 신규 문서로, 기존 정보와의 충돌 분석 예정.
- **정책 변화:** {sub_folder} 카테고리의 지식 연결망 강화를 위한 표준 위키화 적용.

## 🔗 지식 연결 (Graph)
{conn}
- Raw Source: [[00_Raw/2026-04-20/{filename}]]
---
"""
    
    target_dir = os.path.join(base_dir, category_path.replace("/", os.sep))
    if not os.path.exists(target_dir):
        os.makedirs(target_dir)
        
    target_path = os.path.join(target_dir, f"{title}.md")
    with open(target_path, "w", encoding="utf-8") as f:
        f.write(wiki_content)
    print(f"Processed: {filename} -> {target_path}")

if __name__ == "__main__":
    for f in batch_files:
        wikify(f)