"""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}** ({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()