{i}{o}section {_sid}: V4 entry 없음
{_sid}: {_sec.get('mdx_title', '?')}answer_frame_number: {_sec.get('answer_frame_number', '-')}" + f" | is_holdout: {_sec.get('is_holdout', '-')}
" + f'{_j.get("template_id")})각 zone 의 source section 마다 V4 rank 1~4 후보 표시. " + f"녹색 강조 = rank-1 (현재 선택된 frame).
{_candidates_html}" + ), + step_status="done", + inputs=["step05_v4_evidence.json", "tests/matching/v4_full32_result.yaml"], + outputs=["step09_frame_selection.json", "step09_frame_matching_candidates.html"], + ) + + # ─── Step 10: Frame Contract 확인 ─── + contracts_per_zone = [] + for dz in debug_zones: + c = get_contract(dz.get("contract_id")) + contracts_per_zone.append({ + "position": dz["position"], + "contract_id": dz.get("contract_id"), + "frame_id": (c or {}).get("frame_id"), + "family": (c or {}).get("family"), + "source_shape": (c or {}).get("source_shape"), + "cardinality": (c or {}).get("cardinality"), + "visual_hints": (c or {}).get("visual_hints"), + "accepted_content_types": (c or {}).get("accepted_content_types"), + "sub_zones": (c or {}).get("sub_zones"), + "payload_builder": ((c or {}).get("payload") or {}).get("builder"), + "payload_builder_options": ((c or {}).get("payload") or {}).get("builder_options"), + }) + _write_step_artifact( + run_dir, 10, "frame_contract", + data={"per_zone": contracts_per_zone}, + step_status="partial", + pipeline_path_connected=True, + inputs=["step09_frame_selection.json", "templates/phase_z2/catalog/frame_contracts.yaml"], + outputs=["step10_frame_contract.json"], + note="full contract dict (sub_zones / cardinality / visual_hints 포함). density envelope 미선언 (별 axis).", + ) + + # ─── Step 11: Slot Mapping (B4 placement, trace-only) ─── + _write_step_artifact( + run_dir, 11, "slot_mapping", + data={ + "per_zone": [ + { + "position": dz["position"], + "selected_template_id": (dz.get("placement_trace") or {}).get("selected_template_id"), + "slot_assignments": (dz.get("placement_trace") or {}).get("slot_assignments") or [], + "rejection": (dz.get("placement_trace") or {}).get("rejection") or [], + "overflow_buffer": (dz.get("placement_trace") or {}).get("overflow_buffer") or [], + } + for dz in debug_zones + ], + }, + step_status="trace-only", + pipeline_path_connected=False, + inputs=["step04_internal_composition.json", "step10_frame_contract.json"], + outputs=["step11_slot_mapping.json"], + note="B4 PlacementPlan slot_assignments — render path 미연결. 실제 render slot 매핑은 mapper.py 의 builder.", + ) + + # ─── Step 12: Slot Payload (actual values, mapper.py 결과) ─── + _write_step_artifact( + run_dir, 12, "slot_payload", + data={ + "per_zone": [ + { + "position": zd["position"], + "template_id": zd["template_id"], + "builder": (get_contract(zd["template_id"]) or {}).get("payload", {}).get("builder"), + "slot_payload": zd["slot_payload"], + "content_weight": zd.get("content_weight"), + "min_height_px": zd.get("min_height_px"), + } + for zd in zones_data + ], + }, + step_status="done", + pipeline_path_connected=True, + inputs=["step10_frame_contract.json", "step02_normalized.json"], + outputs=["step12_slot_payload.json"], + note="map_with_contract 결과 — actual slot_payload 값 그대로 (key 만 X).", + ) + # 6. Build layout CSS — horizontal-2 = dynamic heights (regression preserve), 그 외 = fr default layout_css = build_layout_css(layout_preset, zones_data) if layout_css["dynamic_rows"]: @@ -1190,6 +1759,491 @@ def run_phase_z2_mvp1(mdx_path: Path, run_id: Optional[str] = None) -> Path: else: print(f" zones : fr default ({layout_css['cols']} / {layout_css['rows']})") + # ─── Step 7: Slide-Level Layout (선택된 layout + 후보 list — Step 7-conn) ─── + # Step 7-conn axis (사용자 lock 2026-05-08) — select_layout_candidates(unit_count) + # 결과를 artifact 에 기록 (passive). default 결정 자체는 무변 (layout_preset 그대로). + layout_candidates_list = select_layout_candidates(len(units)) + _write_step_artifact( + run_dir, 7, "layout", + data={ + "layout_preset": layout_preset, + "layout_css": layout_css, + "zones_count": len(zones_data), + "unit_count": len(units), + "layout_candidates": layout_candidates_list, + }, + step_status="partial", + pipeline_path_connected=True, + inputs=["step06_composition_plan.json"], + outputs=["step07_layout.json", "step07_selected_layout.html"], + note=( + "count-based v0 — 들여쓰기 / 정렬 미세 layout 미구현 (Step 7 ⚠ partial). " + "Step 7-conn (사용자 lock 2026-05-08): unit_count → layout_candidates list " + "(select_layout_candidates) artifact 기록. default 결정 자체는 무변 — " + "candidates[0] 가 default (default_selection: true), 나머지는 alternative. " + "Step 9 application_plan input." + ), + ) + # Step 7 HTML — slide-base 위 실제 zone 박스 위치 시각화 (constants 와 1:1 일치) + _slide_w, _slide_h, _body_h = SLIDE_W, SLIDE_H, SLIDE_BODY_HEIGHT + _zone_palette = ["#dbeafe", "#fef3c7", "#dcfce7", "#fce7f3", "#ede9fe"] + _zone_borders = ["#3b82f6", "#f59e0b", "#16a34a", "#db2777", "#7c3aed"] + _grid_template = layout_css.get("rows") or "1fr" + _zone_visuals_7 = "" + for i, dz in enumerate(debug_zones): + _color = _zone_palette[i % len(_zone_palette)] + _border = _zone_borders[i % len(_zone_borders)] + _zone_visuals_7 += ( + f'{dz.get("v4_template_id") or "-"}{lc}{_default_mark}{_badge}source: templates/phase_z2/layouts/layouts.yaml + '
+ f'select_layout_candidates(unit_count) '
+ f'(Step 7-B). default = first entry. 현재 single-decision logic 은 '
+ f'default 만 사용 — Step 9 application_plan 진입 시 후보 평가.
{layout_preset}slide canvas {_slide_w}×{_slide_h}px / slide-body {SLIDE_BODY_WIDTH}×{_body_h}px (left {SLIDE_BODY_LEFT} / top {SLIDE_BODY_TOP}). " + f"안 zone 박스 = 실제 비율 그대로.
" + f"{_slide_visual_7}" + f"{_candidates_block}" + f"{json.dumps(layout_css, ensure_ascii=False, indent=2)}{sz["id"]}{plan["child_distribution_note"]}
' + f'중요: 이 페이지는 계획값 only. 실제 측정값 (clientHeight / scrollHeight / overflow) 은 "
+ f"step14_visual_check.json 에서 봄.
각 zone 안에 sub_zones 가 columns 로 나열, 각 sub_zone 안 sections 가 cardinality.strict 만큼 균등 row 분배. " + f"F29 process_column 의 첫 section 이 transform_table (AS-IS/TO-BE 표) 인데 균등 분배로 capacity 부족 → 10px overflow 직접 원인.
" + f'region_count=1 / content_type="text_block" placeholder 신호로만 산출. '
+ f'Step 3/4 (Content Object 추출 + Internal Composition Planning) 활성화 시 '
+ f'실제 content_object 신호로 교체 (별 axis).'
+ f'{u["current_default_candidate"]}'
+ if u["current_default_candidate"] else 'null'
+ )
+ _layout_pills = " ".join(
+ f'{lc}{" ★" if k == 0 else ""}'
+ for k, lc in enumerate(u["layout_candidates"])
+ )
+ _region_pills = " ".join(
+ f'{rc}{" ★" if k == 0 else ""}'
+ for k, rc in enumerate(u["region_layout_candidates"])
+ )
+ _display_pills = " ".join(
+ f'{ds}{" ★" if k == 0 else ""}'
+ for k, ds in enumerate(u["display_strategy_candidates"])
+ )
+ _app_rows = ""
+ for k, ac in enumerate(u["application_candidates"]):
+ _bg, _fg = _mode_color.get(ac["application_mode"], ("#f1f5f9", "#475569"))
+ _is_default = (k == 0)
+ _default_mark = (
+ ' current_default'
+ if _is_default else ''
+ )
+ _app_rows += (
+ f'{ac["template_id"]}{_default_mark}{u["unit_id"]} {_status_badge}'
+ f'layout_preset (default): {u["layout_preset"]} | '
+ f'current_default_candidate: {_default_html}
layout_candidates (★ default): {_layout_pills}
' + f'region_layout_candidates (★ default, placeholder): {_region_pills}
' + f'display_strategy_candidates (★ default, placeholder): {_display_pills}
' + f'| template_id | ' + f'v4_label | ' + f'application_mode | ' + f'auto_app. | ' + f'delegated_to | ' + f'
|---|
units: {len(application_plan_units)} | ' + f'units_with_no_v4_candidate: ' + f'{len(units_with_no_v4)} ({", ".join(units_with_no_v4) if units_with_no_v4 else "none"})
' + ) + + _write_step_html( + run_dir, 9, "application_plan", + title="Step 9 v0 — Passive Application Plan", + body_html=( + f'{_summary_block_9}' + f'{_unit_blocks_9}' + ), + step_status="partial", + inputs=[ + "step05_v4_evidence.json", + "step06_composition_plan.json", + "step07_layout.json", + "step08_zone_region_ratios.json", + ], + outputs=["step09_application_plan.json", "step09_application_plan.html"], + ) + # 7. Render single slide html = render_slide(slide_title, slide_footer, zones_data, layout_preset, layout_css) @@ -1198,19 +2252,78 @@ def run_phase_z2_mvp1(mdx_path: Path, run_id: Optional[str] = None) -> Path: out_path.write_text(html, encoding="utf-8") print(f" html : {out_path}") + # ─── Step 13: Render ─── + _write_step_artifact( + run_dir, 13, "render", + data={ + "final_html_path": str(out_path), + "final_html_size_bytes": out_path.stat().st_size, + "render_inputs": { + "slide_title": slide_title, + "slide_footer": slide_footer, + "zones_count": len(zones_data), + "layout_preset": layout_preset, + }, + }, + step_status="done", + pipeline_path_connected=True, + inputs=["step07_layout.json", "step12_slot_payload.json", "templates/phase_z2/slide_base.html", "templates/phase_z2/families/*.html"], + outputs=["step13_render.json", "step13_draft_render.html", "final.html"], + note="Jinja2 render 결과 = final.html. step13_draft_render.html 은 final.html 동일 복사 (검토용).", + ) + # Step 13 HTML — final.html 그대로 복사 (검토용) + (run_dir / "steps" / "step13_draft_render.html").write_text(html, encoding="utf-8") + # 9. Selenium check print(" visual : running per-zone overflow check ...") overflow = run_overflow_check(out_path) + # ─── Step 14: Visual Runtime Check (실측값) ─── + _write_step_artifact( + run_dir, 14, "visual_check", + data=overflow, + step_status="partial", + pipeline_path_connected=True, + inputs=["step13_render.json", "final.html"], + outputs=["step14_visual_check.json"], + note=( + "Selenium 실측 — clientHeight / scrollHeight / excess_y / frame_slot_metrics. " + "Step 8 의 계획값과 비교 시 어느 cell 이 overflow 했는지 박힘. " + "image / table 검사 부재 — Step 14 ⚠ partial." + ), + ) + # 10. fit_classifier v0 (A1) — Selenium 결과 → spec §3 category 분류 layer. # *분류만*. action / router / rerender X. behavior 변경 0. fit_classification = classify_visual_runtime_check(overflow, debug_zones) + # ─── Step 15: Fit Classification ─── + _write_step_artifact( + run_dir, 15, "fit_classification", + data=fit_classification, + step_status="done", + pipeline_path_connected=True, + inputs=["step14_visual_check.json"], + outputs=["step15_fit_classification.json"], + note="A1 — visual_runtime_check 결과를 spec §3 category 로 분류.", + ) + # 11. overflow_router v0 (A2) — category → proposed_action 매핑 layer. # *매핑까지만*. 실행 / rerender / behavior 변경 X. # classifications 각 entry 에 proposed_action 추가, router_decision summary 반환. router_decision = route_fit_classification(fit_classification) + # ─── Step 16: Overflow Router ─── + _write_step_artifact( + run_dir, 16, "router_decision", + data=router_decision, + step_status="done", + pipeline_path_connected=True, + inputs=["step15_fit_classification.json"], + outputs=["step16_router_decision.json"], + note="A2 — category → proposed_action 매핑.", + ) + # 11.5 zone_ratio_retry action (A3) — A3 locked rules (사용자 잠금) 그대로. # retry budget = 1, slide-base 고정, donor 룰, (b) revert 정책. retry_trace = _attempt_zone_ratio_retry( @@ -1241,6 +2354,43 @@ def run_phase_z2_mvp1(mdx_path: Path, run_id: Optional[str] = None) -> Path: # retry 실패 시 failure_type 분류 + next_proposed_action 기록 (escalation 후보). enrich_retry_trace_with_failure_classification(retry_trace) + # ─── Step 17: Implemented Action (retry) ─── + _write_step_artifact( + run_dir, 17, "retry_trace", + data=retry_trace, + step_status=( + "failed" if retry_trace.get("retry_attempted") and not retry_trace.get("retry_passed") + else "done" if retry_trace.get("retry_passed") + else "skipped" + ), + pipeline_path_connected=True, + inputs=["step16_router_decision.json"], + outputs=["step17_retry_trace.json"], + note="A3 — zone_ratio_retry action only. 다른 actions (layout_adjust / frame_internal_fit 등) 미구현 — Step 17 ⚠ partial.", + ) + + # ─── Step 18: Failure Classification (A4-1) ─── + _write_step_artifact( + run_dir, 18, "failure_classification", + data=retry_trace.get("failure_classification") or {}, + step_status="done" if retry_trace.get("failure_classification") else "skipped", + pipeline_path_connected=True, + inputs=["step17_retry_trace.json"], + outputs=["step18_failure_classification.json"], + note="A4-1 — retry 실패 시 failure_type 분류.", + ) + + # ─── Step 19: Next Action Proposal (A4-2) ─── + _write_step_artifact( + run_dir, 19, "next_action", + data=retry_trace.get("next_action_proposal") or {}, + step_status="partial" if retry_trace.get("next_action_proposal") else "skipped", + pipeline_path_connected=False, + inputs=["step18_failure_classification.json"], + outputs=["step19_next_action.json"], + note="A4-2 — failure_type → next_proposed_action 1-D mapping. 실제 action 자체는 미구현 (impl_status=MISSING).", + ) + # 12. Slide status — 자동 파이프라인 결과 보고 (review/UI 개념 X) slide_status = compute_slide_status( sections, units, comp_debug, overflow, @@ -1248,6 +2398,50 @@ def run_phase_z2_mvp1(mdx_path: Path, run_id: Optional[str] = None) -> Path: debug_zones=debug_zones, ) + # ─── Step 20: Slide Status ─── + _write_step_artifact( + run_dir, 20, "slide_status", + data=slide_status, + step_status="done", + pipeline_path_connected=True, + inputs=["step14_visual_check.json", "step17_retry_trace.json", "step19_next_action.json"], + outputs=["step20_slide_status.json", "step20_final_status.html"], + note="자동 파이프라인 최종 결과 보고. overall = PASS/RENDERED_WITH_VISUAL_REGRESSION/PARTIAL_COVERAGE 등.", + ) + # Step 20 HTML — 최종 판정 시각 보고 + _overall = slide_status.get("overall", "?") + _ov_class = "pass" if "PASS" in _overall else "fail" if "FAIL" in _overall or "REGRESSION" in _overall else "partial" + _vfs = slide_status.get("visual_fail_reasons") or [] + _vfs_html = ( + "없음
" + ) + _aligned = slide_status.get("aligned_section_ids") or [] + _covered = slide_status.get("covered_section_ids") or [] + _filtered = slide_status.get("filtered_section_ids") or [] + _write_step_html( + run_dir, 20, "final_status", + title="Final Slide Status", + body_html=( + f'| rendered | {slide_status.get("rendered")} |
|---|---|
| visual_check_passed | {slide_status.get("visual_check_passed")} |
| full_mdx_coverage | {slide_status.get("full_mdx_coverage")} |
| aligned_section_ids | {_aligned} |
| covered_section_ids | {_covered} |
| filtered_section_ids | {_filtered} |
| adapter_needed_count | {slide_status.get("adapter_needed_count", 0)} |
| content_truncated_count | {slide_status.get("content_truncated_count", 0)} |
{slide_status.get("note", "")}
' + ), + step_status="done", + inputs=["step14_visual_check.json", "step17_retry_trace.json"], + outputs=["step20_slide_status.json", "step20_final_status.html"], + ) + # 13. Debug.json debug_path = write_debug_json( run_dir, layout_preset, debug_zones, layout_css, overflow, @@ -1259,6 +2453,36 @@ def run_phase_z2_mvp1(mdx_path: Path, run_id: Optional[str] = None) -> Path: ) print(f" debug : {debug_path}") + # ─── Step 21: Debug Trace ─── + _write_step_artifact( + run_dir, 21, "debug_index", + data={ + "debug_json_path": str(debug_path), + "debug_json_size_bytes": debug_path.stat().st_size, + "placement_trace_recorded_zones": len(debug_zones), + "frame_slot_metrics_count": len( + (overflow or {}).get("frame_slot_metrics") + or (overflow or {}).get("details", {}).get("frame_slot_metrics", []) + ), + }, + step_status="partial", + pipeline_path_connected=True, + inputs=[], + outputs=["step21_debug_index.json", "debug.json"], + note="placement_trace per-zone + frame_slot_metrics F29 만 기록. region marker partial 미주입 — Step 21 ⚠ partial.", + ) + + # ─── Step 22: 사용자 확인 / Export (future, UI 영역) ─── + _write_step_artifact( + run_dir, 22, "user_export", + data={"status": "future", "scope": "UI 영역 — 자동 파이프라인 범위 외"}, + step_status="future", + pipeline_path_connected=False, + inputs=[], + outputs=["step22_user_export.json"], + note="UI / export 단계. 자동 파이프라인 범위 외 — 사용자 직접 확인 / 다운로드.", + ) + # 13. Status report overall = slide_status["overall"] print(f" status : {overall}")