"""CASE 1만 생성 (IDF-only 포함 8개 방법)""" import sys import json import yaml from pathlib import Path sys.path.insert(0, str(Path(__file__).parent)) from common import load_figma_texts from extract_units import extract_units from methods import ( method_tfidf, method_bm25, method_idf_only, method_char_ngram, method_kiwi_bm25, method_structural, method_ai_metadata_matcher, method_hybrid_kiwi_char, ) ROOT = Path(r"d:\ad-hoc\kei\design_agent") PREVIEW_DIR = ROOT / "data" / "figma_previews" UNIT_ORDER = [ ("MDX01-intro", "중목차 앞 본문"), ("MDX01-intro-details", "팝업"), ("MDX01-1", "중목차"), ("MDX01-2", "중목차"), ("MDX01-2-image", "이미지"), ("MDX01-2-details", "팝업+표"), ("MDX02-1", "중목차"), ("MDX02-1-image", "이미지"), ("MDX02-2", "중목차(컨테이너)"), ("MDX02-2.1", "소목차"), ("MDX02-2.2", "소목차"), ("MDX02-2.2-table", "표"), ("MDX03-1", "중목차"), ("MDX03-2", "중목차(컨테이너)"), ("MDX03-2.1", "소목차"), ("MDX03-2.1-table", "표"), ("MDX03-2.2", "소목차"), ] def fmt_score(score, method_name): if method_name in ("TF-IDF", "Char-ngram", "AI-Meta", "Structural", "하이브리드"): return f"{score * 100:.0f}%" else: return f"{score:.1f}" def main(): units = extract_units() figma = load_figma_texts() with open(PREVIEW_DIR / "index.json", encoding="utf-8") as f: idx_data = json.load(f) frame_to_short = {info["frame_id"]: sid for sid, info in idx_data.items()} short_to_info = idx_data with open(Path(__file__).parent / "metadata_db.yaml", encoding="utf-8") as f: metadata_db = yaml.safe_load(f) extra_meta = { "MDX01-intro-details": {"concepts": ["정책", "디지털화", "BIM", "스마트건설", "사례"], "layout_hint": "popup-list"}, "MDX01-2-image": {"concepts": ["DX", "핵심기술", "상호관계", "GIS", "BIM", "디지털트윈"], "layout_hint": "diagram"}, "MDX01-2-details": {"concepts": ["BIM", "DX", "비교", "범위", "S/W", "프로세스", "성과품", "활용", "확장성", "수행개념", "CIVIL", "IT", "주체", "발주처", "설계사", "시공사"], "layout_hint": "compare-rows"}, "MDX02-1-image": {"concepts": ["DX", "목표", "안전", "품질", "생산성", "소통", "신뢰"], "layout_hint": "cycle-3way"}, "MDX02-2.1": {"concepts": ["Process", "변화", "수작업", "S/W", "체계화", "2D", "3D", "협업", "검증", "사전"], "layout_hint": "transition-list"}, "MDX02-2.2": {"concepts": ["발주자", "시공자", "설계자", "역량", "기대효과", "3D모델", "협업", "Claim", "리스크", "품질"], "layout_hint": "persona-3col"}, "MDX02-2.2-table": {"concepts": ["발주자", "시공자", "설계자", "필요역량", "업무", "변화", "3D", "검증", "협업", "표"], "layout_hint": "table-3col"}, "MDX03-2.1": {"concepts": ["Process", "Analogue", "Digital", "혁신", "GIS", "BIM", "Solution", "2D", "3D", "협업"], "layout_hint": "compare-2col"}, "MDX03-2.1-table": {"concepts": ["Analogue", "Digital", "As-is", "To-be", "2D", "3D", "문서", "행정", "시각화", "소통", "표"], "layout_hint": "compare-2col"}, "MDX03-2.2": {"concepts": ["Product", "결과", "성과물", "품질", "Digital", "정보물", "Solution", "협업", "통합관리"], "layout_hint": "compare-2col"}, } combined_meta = {**metadata_db.get("mdx_sections", {}), **extra_meta} # 8개 방법 (IDF-only 포함) methods_def = [ ("TF-IDF", method_tfidf), ("BM25", method_bm25), ("IDF-only", method_idf_only), ("Char-ngram", method_char_ngram), ("Kiwi+BM25", method_kiwi_bm25), ("Structural", method_structural), ("AI-Meta", None), ("하이브리드", method_hybrid_kiwi_char), ] # 실행 results = {} for uid, unit_text in units.items(): results[uid] = {} for mname, fn in methods_def: if not unit_text.strip(): results[uid][mname] = [] continue if mname == "AI-Meta": ranked = method_ai_metadata_matcher(uid, metadata_db["figma_frames"], combined_meta) else: ranked = fn(unit_text, figma) results[uid][mname] = ranked[:3] # 리포트 png_rel = "../../data/figma_previews/" lines = [] lines.append("# CASE 1 — 균등 가중 매칭 (IDF-only 포함)") lines.append("") lines.append("전체 텍스트 (블릿 포함) 원본 그대로. 가중치 없음. 8개 방법 비교.") lines.append("") for i, (uid, kind) in enumerate(UNIT_ORDER, 1): lines.append(f"---") lines.append("") lines.append(f"## {i}. {uid} ({kind})") lines.append("") lines.append("| 방법 | 1순위 | 2순위 | 3순위 |") lines.append("|------|-------|-------|-------|") for mname, _ in methods_def: cells = [mname] top3 = results[uid].get(mname, []) if not top3: cells += ["-", "-", "-"] else: for fid, score in top3: short = frame_to_short.get(str(fid), "?") info = short_to_info.get(short, {}) png_file = info.get("png", "") title = info.get("title_text", "").strip().replace("\n", " ") or "" if len(title) > 15: title = title[:15] + "…" cell = f"![{short}]({png_rel}{png_file})
**{short}** ({fmt_score(score, mname)})
{title}" cells.append(cell) while len(cells) < 4: cells.append("-") lines.append("| " + " | ".join(cells) + " |") lines.append("") out_path = Path(__file__).parent / "MATRIX_CASE1.md" out_path.write_text("\n".join(lines), encoding="utf-8") print(f"완료: {out_path}") if __name__ == "__main__": main()