wip: phase_z2 evidence 파이프라인 + matching 실험(phase2~26) + 프론트 trace 패널 진행분 스냅샷

- src: phase_z2 composition/mapper/pipeline/placement_planner/retry, ai_fallback(prompts/schema/validate), mdx_text_atoms 신규
- Front: PipelineTracePanel 신규, FramePanel/SlideCanvas/Home/designAgentApi 등 갱신 + 테스트 4종 추가
- templates/phase_z2: catalog(component_expansion_registry, node_slot_mapping 신규), frames, families, slide_base 갱신
- tests/matching: phase2~26 매칭 실험 스크립트·리포트·온톨로지 전체 (미커밋 진행분)
- tests: b4_v4 evidence, task5~28.5 시리즈, regression(imp95 baseline) 등 신규 테스트 대량 추가
- docs/reference: MDX 구조 인벤토리, MDX→Frame 구조 계약 문서
- scripts: mdx 계약/parity/coverage/viewport 체크, gitea comment, run sync 유틸
- .gitignore: tmp*.json, chromedriver, .orchestrator, *.pkl, Front_test* 등 임시/스냅샷 제외

미완성 작업의 보존용 스냅샷 커밋 (2026-07-02)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-07-02 17:03:42 +09:00
co-authored by Claude Opus 4.8
parent 97b7833a1b
commit b836e79ee1
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"""MDX 섹션 중심의 결과 재편성 리포트 (figma_previews index 기반)"""
import sys
import json
import yaml
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent))
from common import load_ground_truth, load_figma_texts, load_mdx_sections
from methods import (
method_tfidf, method_bm25, method_char_ngram,
method_kiwi_bm25, method_structural,
method_ai_metadata_matcher, method_weighted, method_hard_filter,
)
ROOT = Path(r"d:\ad-hoc\kei\design_agent")
PREVIEW_DIR = ROOT / "data" / "figma_previews"
def load_frame_index():
"""index.json: short_id(01~32) ↔ frame_id ↔ title ↔ png"""
with open(PREVIEW_DIR / "index.json", encoding="utf-8") as f:
data = json.load(f)
# frame_id → short_id 역매핑
frame_to_short = {}
short_to_info = {}
for short_id, info in data.items():
frame_to_short[info["frame_id"]] = short_id
short_to_info[short_id] = info
return frame_to_short, short_to_info
def fmt_frame(fid, frame_to_short, short_to_info, score=None, mark=""):
"""frame_id → 'N번 제목' + 선택적 score"""
fid_s = str(fid)
short = frame_to_short.get(fid_s, "?")
title = short_to_info.get(short, {}).get("title_text", "").strip()
# 제목이 너무 길면 자름
if len(title) > 25:
title = title[:25] + ""
if not title:
title = f"#{fid_s[-4:]}" # 제목 없으면 번호 뒤 4자리
s = f"{mark}**{short}** {title}"
if score is not None:
s += f" ({score:.2f})"
return s
def main():
gt_list = load_ground_truth()
figma = load_figma_texts()
mdx = load_mdx_sections()
frame_to_short, short_to_info = load_frame_index()
with open(Path(__file__).parent / "metadata_db.yaml", encoding="utf-8") as f:
metadata_db = yaml.safe_load(f)
methods_def = [
("TF-IDF", method_tfidf),
("BM25", method_bm25),
("Char-ngram", method_char_ngram),
("Kiwi+BM25", method_kiwi_bm25),
("Structural", method_structural),
("AI-Metadata", None),
("Weighted", method_weighted),
("HardFilter", method_hard_filter),
]
all_results = {}
for sec_id, sec_text in mdx.items():
all_results[sec_id] = {}
for name, fn in methods_def:
if name == "AI-Metadata":
ranked = method_ai_metadata_matcher(
sec_id, metadata_db["figma_frames"], metadata_db["mdx_sections"]
)
else:
ranked = fn(sec_text, figma)
all_results[sec_id][name] = ranked[:3]
# 리포트 생성
lines = []
lines.append("# MDX 섹션별 매칭 결과 (8개 방법 비교)")
lines.append("")
lines.append("각 MDX 섹션 ↔ Figma 프레임 매칭. 프레임 번호는 `data/figma_previews/index.json` 기준 01~32.")
lines.append("")
lines.append("**표기**: ✅ GT primary 일치 · ◯ GT secondary 일치 · ✗ 불일치 · · GT=null")
lines.append("")
# 프레임 번호 전체 매핑 표 (참고용)
lines.append("## 프레임 번호 매핑 (참고)")
lines.append("")
lines.append("<details><summary>01~32 번호 ↔ 프레임 ID ↔ 제목 (펼치기)</summary>")
lines.append("")
lines.append("| # | Frame ID | 제목 | 미리보기 |")
lines.append("|---|----------|------|---------|")
for short_id in sorted(short_to_info.keys()):
info = short_to_info[short_id]
title = info.get("title_text", "").strip().replace("\n", " ") or "_(제목없음)_"
if len(title) > 40:
title = title[:40] + ""
png_rel = f"../../data/figma_previews/{info['png']}"
lines.append(f"| **{short_id}** | {info['frame_id']} | {title} | ![{short_id}]({png_rel}) |")
lines.append("")
lines.append("</details>")
lines.append("")
# 각 MDX 섹션별
for gt in gt_list:
sid = gt["id"]
lines.append(f"---")
lines.append("")
lines.append(f"## {sid}{gt['section_title']}")
lines.append("")
if sid in mdx:
preview = mdx[sid][:250].replace("\n", " ").strip()
lines.append(f"> **MDX 내용**: {preview}...")
lines.append("")
# Ground Truth
gt_lines = []
if gt["primary"]:
prim_str = fmt_frame(gt["primary"], frame_to_short, short_to_info)
gt_lines.append(f"- **Primary**: {prim_str}")
else:
gt_lines.append(f"- **Primary**: `null` (매칭 없음)")
if gt.get("secondary"):
secs = [fmt_frame(s, frame_to_short, short_to_info) for s in gt["secondary"]]
gt_lines.append(f"- **Secondary**: {', '.join(secs)}")
gt_lines.append(f"- **확신도**: {gt['confidence']}")
gt_lines.append(f"- **주석**: {gt.get('note', '-')}")
lines.append("**Ground Truth**")
lines.append("")
for gl in gt_lines:
lines.append(gl)
lines.append("")
# GT 프레임 미리보기
if gt["primary"]:
gt_short = frame_to_short.get(str(gt["primary"]))
if gt_short:
info = short_to_info[gt_short]
png_rel = f"../../data/figma_previews/{info['png']}"
lines.append(f"![GT {gt_short}]({png_rel})")
lines.append("")
# 8개 방법 Top-3
lines.append("### 방법별 Top-3")
lines.append("")
lines.append("| 방법 | Top-1 | Top-2 | Top-3 |")
lines.append("|------|-------|-------|-------|")
gt_set = set()
if gt["primary"]:
gt_set.add(str(gt["primary"]))
gt_set |= {str(s) for s in (gt.get("secondary") or [])}
for name, _ in methods_def:
top3 = all_results[sid][name]
row = [name]
for fid, score in top3:
fid_s = str(fid)
if gt["primary"] is None:
mark = "· "
elif fid_s == str(gt["primary"]):
mark = ""
elif fid_s in gt_set:
mark = ""
else:
mark = ""
row.append(fmt_frame(fid_s, frame_to_short, short_to_info, score=score, mark=mark))
while len(row) < 4:
row.append("-")
lines.append("| " + " | ".join(row) + " |")
lines.append("")
# Top-1 집계
top1_match = {}
for name, _ in methods_def:
top_fid = str(all_results[sid][name][0][0]) if all_results[sid][name] else "-"
top1_match.setdefault(top_fid, []).append(name)
lines.append("**Top-1 집계**")
lines.append("")
for fid, names in sorted(top1_match.items(), key=lambda x: -len(x[1])):
if gt["primary"] is None:
emoji = "·"
elif fid == str(gt["primary"]):
emoji = ""
elif fid in gt_set:
emoji = ""
else:
emoji = ""
fname = fmt_frame(fid, frame_to_short, short_to_info)
lines.append(f"- {emoji} {fname}{', '.join(names)} ({len(names)}개 방법)")
lines.append("")
# 마지막: 방법별 요약
lines.append("---")
lines.append("")
lines.append("## 방법별 정답률 요약")
lines.append("")
# 명확 GT(primary != null) 기준 Hit@1
clear_sections = [g for g in gt_list if g["primary"] is not None]
lines.append("| 방법 | 정답률 | 맞춘 섹션 |")
lines.append("|------|:---:|----------|")
for name, _ in methods_def:
hits = []
for g in clear_sections:
top1 = all_results[g["id"]][name][0][0] if all_results[g["id"]][name] else None
if str(top1) == str(g["primary"]):
hits.append(g["id"])
lines.append(f"| {name} | {len(hits)}/5 | {', '.join(hits) if hits else '-'} |")
lines.append("")
out_path = Path(__file__).parent / "RESULT_BY_SECTION.md"
out_path.write_text("\n".join(lines), encoding="utf-8")
print(f"완료: {out_path}")
if __name__ == "__main__":
main()