Add remaining samples, tooling, and local project assets

run_mdx03_pipeline.py

@@ -0,0 +1,48 @@
+"""MDX 03을 기존 파이프라인으로 Stage 1.7까지 돌린 뒤, 산출물을 저장.
+
+파이프라인 코드 그대로 사용:
+- Stage 0: mdx_normalizer
+- Stage 1A: kei_client.classify_content (Kei API)
+- Stage 1B: kei_client.refine_concepts + generate_structured_text
+- Stage 1.5a: space_allocator (컨테이너 계산 + font_hierarchy)
+- Stage 1.7: block_reference (블록 선택)
+
+Stage 2(조립)는 여기서 하지 않음 — 산출물만 저장.
+"""
+import asyncio
+import json
+import sys
+import time
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent))
+
+from src.pipeline import generate_slide
+
+
+async def main():
+    mdx_path = Path("samples/mdx/03. DX 시행을 위한 필수 요건 및 혁신 방안.mdx")
+    content = mdx_path.read_text(encoding="utf-8")
+
+    print(f"MDX 03: {mdx_path.name}")
+    print(f"내용 길이: {len(content)}자")
+    print()
+
+    start = time.time()
+    async for event in generate_slide(content, base_path=str(mdx_path.parent)):
+        ev_type = event.get("event", "")
+        data = event.get("data", "")
+        if ev_type == "progress":
+            print(f"  {data}")
+        elif ev_type == "result":
+            elapsed = time.time() - start
+            print(f"\n완료! ({elapsed:.1f}초)")
+            if isinstance(data, dict):
+                run_id = data.get("run_id", "")
+                print(f"run_id: {run_id}")
+                print(f"결과: data/runs/{run_id}/")
+        elif ev_type == "error":
+            print(f"  에러: {data}")
+
+
+asyncio.run(main())