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

# UTF-8 Output support
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")

batch_files = [
    "Aerospace Flight Simulation.md",
    "Affective Computing.md",
    "Affective User Interfaces (AUI).md",
    "Agency and Player Autonomy.md",
    "Agent-Based Modeling (ABM).md",
    "Agile-UX-Integration.md",
    "AI Connect LLM Tool.md",
    "AI-Driven Narrative Systems.md",
    "Accessibility-Compliance-WCAG.md",
    "Advanced-Design-Patterns-in-TypeScript.md"
]

mapping = {
    "Aerospace Flight Simulation.md": "Physics & Simulation",
    "Affective Computing.md": "AI & Psychology",
    "Affective User Interfaces (AUI).md": "Design & Experience",
    "Agency and Player Autonomy.md": "Game Design",
    "Agent-Based Modeling (ABM).md": "Simulation & Math",
    "Agile-UX-Integration.md": "Design & Experience",
    "AI Connect LLM Tool.md": "AI & Tools",
    "AI-Driven Narrative Systems.md": "AI & Narrative",
    "Accessibility-Compliance-WCAG.md": "Design & Experience",
    "Advanced-Design-Patterns-in-TypeScript.md": "Programming & Language"
}

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 simplified for automation
    summary_match = re.search(r'##?\s*📌\s*Brief Summary\n(.*?)(?=\n##|$)', content, re.S)
    summary = summary_match.group(1).strip() if summary_match else "핵심 내용 요약 예정"
    
    core_match = re.search(r'##?\s*📖\s*Core Content\n(.*?)(?=\n##|$)', content, re.S)
    core = core_match.group(1).strip() if core_match else "세부 본문 내용 구성 예정"
    
    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-{uuid.uuid4().hex[:6].upper()}"
    today = "2026-04-20"
    
    wiki_content = f"""---
id: {doc_id}
category: "[[{category_path}]]"
confidence_score: 0.95
tags: []
last_reinforced: {today}
github_commit: "[P-Reinforce] Batch 10 - 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 지식 유입에 따른 기존 지식과의 정합성 검증 단계.
- **정책 변화:** {sub_folder} 분야의 체계적 지식 자산화 진행.

## 🔗 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)