KyeongminandClaude Opus 4.8
b836e79ee1
- 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>
102 lines
4.1 KiB
Python
102 lines
4.1 KiB
Python
"""analysis.md layout 문자열을 structure_ontology.yaml로 변환
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- family / surface / semantic_role / columns / items / confidence
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- 기존 figma_audit.py의 _PROPS 매핑과 일관성 유지
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"""
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import sys
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import json
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import re
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from pathlib import Path
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import yaml
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sys.path.insert(0, str(Path(__file__).parent))
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from phase_common import load_32_frames
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from figma_audit import _FAMILY, _PROPS, guess_semantic_role, get_family
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ROOT = Path(r"d:\ad-hoc\kei\design_agent")
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PREVIEW_DIR = ROOT / "data" / "figma_previews"
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HERE = Path(__file__).parent
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# layout → surface 매핑
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_SURFACE_OF = {
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"3col-parallel": "bullets-3", "3col-cards": "cards-3",
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"3col-compare": "cards-3-compare", "persona-3col": "table-persona-3col",
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"compare-rows": "table-multi-row", "compare-2col": "bullets-2col",
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"compare-2banner-top-2col-bottom": "banner-plus-2col",
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"table-2col": "table-2col", "table-3col": "table-3col",
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"cycle-3way": "circular-diagram", "circular-nodes": "circular-nodes",
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"diagram-labels": "labeled-diagram", "diagram-5": "radial-diagram-5",
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"cards-4": "cards-4-grid", "cards-4plus5": "cards-mixed",
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"policy-4card-plus-list": "cards-plus-list", "quadrant-issues": "quadrant",
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"paired-rows": "paired-rows",
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"central-split": "split-center", "central-5-goals": "radial-center-5",
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"3-emphasis": "cards-3-horizontal", "3-category": "cards-3-horizontal",
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"3-section": "cards-3-horizontal",
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"bullet-cards": "mixed-bullets", "list-numbered": "list-numbered",
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"list-stacked": "list-stacked", "side-card": "side-card",
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"full-page-map": "full-page-map",
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"split-panel-diagram": "split-panel", "split-panel-numbered": "split-panel",
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"2col-paired": "2col-paired", "2-boxes": "2-boxes",
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}
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def confidence_of(family, shape, items, layout):
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"""내가 수동 태깅한 layout에 대한 자체 confidence (휴리스틱)"""
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if family == "(미분류)" or not shape: return "low"
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if items and family in {"cards", "list", "compare", "table"}: return "high"
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if family == "diagram" and not items: return "medium"
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return "medium"
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def main():
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frames = load_32_frames()
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with open(PREVIEW_DIR / "index.json", encoding="utf-8") as f:
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idx_data = json.load(f)
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frame_to_short = {info["frame_id"]: sid for sid, info in idx_data.items()}
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out = {"meta": {"phase": 23, "total_frames": len(frames),
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"note": "analysis.md의 layout을 속성 체계로 변환. 실험 중 수정 가능."},
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"frames": {}}
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for fid in sorted(frames.keys()):
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v = frames[fid]
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layout = v.get("layout", "")
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family = get_family(layout)
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props = _PROPS.get(layout, {})
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surface = _SURFACE_OF.get(layout, "")
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role = guess_semantic_role(v.get("content", ""), v.get("keywords", []))
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conf = confidence_of(family, props.get("shape", ""), props.get("items"), layout)
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sid = frame_to_short.get(fid, "?")
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out["frames"][fid] = {
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"short_id": sid,
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"layout_original": layout, # 원본 layout 문자열 (참조용)
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"family": family,
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"surface": surface,
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"semantic_role": role,
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"columns": props.get("items") if family in {"cards", "compare", "table", "list"} else None,
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"items": props.get("items"),
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"has_table": props.get("has_table"),
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"has_cards": props.get("has_cards"),
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"has_diagram": props.get("has_diagram"),
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"confidence": conf,
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}
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out_path = HERE / "structure_ontology.yaml"
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with open(out_path, "w", encoding="utf-8") as f:
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yaml.safe_dump(out, f, allow_unicode=True, sort_keys=False)
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print(f"완료: {out_path} ({len(frames)}개 프레임)")
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# 통계
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import collections
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fam_c = collections.Counter(f["family"] for f in out["frames"].values())
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role_c = collections.Counter(f["semantic_role"] for f in out["frames"].values())
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conf_c = collections.Counter(f["confidence"] for f in out["frames"].values())
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print(f"\nfamily 분포: {dict(fam_c)}")
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print(f"semantic_role 분포: {dict(role_c.most_common(6))}")
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print(f"confidence 분포: {dict(conf_c)}")
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if __name__ == "__main__":
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main()
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