122 lines
3.9 KiB
Python
122 lines
3.9 KiB
Python
import os
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import re
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import uuid
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import sys
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from datetime import datetime
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# UTF-8 Output support
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if sys.stdout.encoding != 'utf-8':
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import io
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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base_dir = r"e:\Wiki\2nd"
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raw_dir = os.path.join(base_dir, "00_Raw", "2026-04-20")
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# List of files to process
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batch_files = [
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"ARG-Alternate-Reality-Games.md",
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"Arkane Studios.md",
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"ArrayBuffer.md",
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"Arthrokinematics.md",
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"Artificial Life (ALife).md",
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"Artificial-Intelligence-Explainability.md",
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"as const Assertion.md",
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"ASP.NET Core.md",
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"Assignability-Relation.md",
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"AST-based-Static-Analysis.md",
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"Athletic Peak Performance.md",
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"Atomic Design Pattern.md",
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"Auction Theory.md",
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"Augmented Reality (AR) Interfaces.md"
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]
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mapping = {
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"ARG-Alternate-Reality-Games.md": "Game Design",
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"Arkane Studios.md": "Game Design",
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"ArrayBuffer.md": "Programming & Memory",
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"Arthrokinematics.md": "Health & Science",
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"Artificial Life (ALife).md": "AI & Biology",
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"Artificial-Intelligence-Explainability.md": "AI & Ethics",
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"as const Assertion.md": "Programming & Language",
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"ASP.NET Core.md": "Programming & Web",
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"Assignability-Relation.md": "Programming & Language",
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"AST-based-Static-Analysis.md": "Programming & Tools",
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"Athletic Peak Performance.md": "Health & Science",
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"Atomic Design Pattern.md": "Design & Experience",
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"Auction Theory.md": "Economics & Algorithms",
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"Augmented Reality (AR) Interfaces.md": "Design & Experience"
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}
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def wikify(filename):
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raw_path = os.path.join(raw_dir, filename)
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if not os.path.exists(raw_path):
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return
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try:
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with open(raw_path, "r", encoding="utf-8") as f:
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content = f.read()
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except:
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return
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title_match = re.search(r'^#\s*\[\[(.*?)\]\]', content, re.M)
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if not title_match:
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title_match = re.search(r'^\[\[(.*?)\]\]', content, re.M)
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title = title_match.group(1) if title_match else filename.replace(".md", "")
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sub_folder = mapping.get(filename, "Uncategorized")
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category_path = f"10_Wiki/💡 Topics/{sub_folder}"
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summary_match = re.search(r'##?\s*📌\s*Brief Summary\n(.*?)(?=\n##|$)', content, re.S)
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summary = summary_match.group(1).strip() if summary_match else "지식 요약 작업 중"
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core_match = re.search(r'##?\s*📖\s*Core Content\n(.*?)(?=\n##|$)', content, re.S)
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core = core_match.group(1).strip() if core_match else "본문 구조화 작업 중"
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conn_match = re.search(r'##?\s*🔗\s*Knowledge Connections\n(.*?)(?=\n##|$)', content, re.S)
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conn = conn_match.group(1).strip() if conn_match else ""
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doc_id = f"P-REINFORCE-{uuid.uuid4().hex[:6].upper()}"
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today = "2026-04-20"
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wiki_content = f"""---
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id: {doc_id}
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category: "[[{category_path}]]"
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confidence_score: 0.95
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tags: []
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last_reinforced: {today}
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github_commit: "[P-Reinforce] Mega Batch 2 - Wikified {title}"
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---
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# [[{title}]]
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## 📌 한 줄 통찰 (The Karpathy Summary)
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> {summary}
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## 📖 구조화된 지식 (Synthesized Content)
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{core}
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## ⚠️ 모순 및 업데이트 (Contradictions & RL Update)
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- **과거 데이터와의 충돌:** 지식 자산화 및 기존 네트워크 연동 단계.
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- **정책 변화:** {sub_folder} 카테고리의 전문성 확보 및 링크 밀도 최적화.
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## 🔗 지식 연결 (Graph)
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{conn}
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- Raw Source: [[00_Raw/2026-04-20/{filename}]]
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---
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"""
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target_dir = os.path.join(base_dir, category_path.replace("/", os.sep))
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if not os.path.exists(target_dir):
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os.makedirs(target_dir)
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safe_title = re.sub(r'[^\w\s\(\)\[\]-]', '', title).strip()
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target_path = os.path.join(target_dir, f"{safe_title}.md")
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with open(target_path, "w", encoding="utf-8") as f:
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f.write(wiki_content)
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print(f"Processed: {filename}")
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if __name__ == "__main__":
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for f in batch_files:
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wikify(f)
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