feat(server): add workbench API, DSH planner worker and RAG pipeline

server/scripts/import_srt.py

@@ -0,0 +1,30 @@
+"""M2: 导入 73 场 SRT 到直播原文库（后台任务）"""
+import sys
+from pathlib import Path
+sys.path.insert(0, r'C:\Users\xinmiclaw\Desktop\雅文内容创造工作台\server')
+
+from sqlmodel import Session, select
+from app.db import engine, init_db
+from app.models import KnowledgeBase
+from app.rag import pipeline
+
+init_db()
+srt_files = []
+for p in Path(r'E:\03_直播素材\直播合集').rglob('*.srt'):
+    srt_files.append(str(p))
+print(f"找到 {len(srt_files)} 个 SRT")
+
+with Session(engine) as s:
+    kb = s.exec(select(KnowledgeBase).where(KnowledgeBase.name == "直播原文库")).first()
+    if not kb:
+        kb = KnowledgeBase(name="直播原文库", desc="73场雅文直播SRT转录（573万字）")
+        s.add(kb); s.commit(); s.refresh(kb)
+    kid = kb.id
+    print(f"库 id={kid}（复用），开始导入（分块+向量化，预计 30 分钟）...")
+    done = [0]
+    def cb(name, n):
+        done[0] += 1
+        if done[0] % 10 == 0:
+            print(f"  进度: {done[0]}/{len(srt_files)} 文件，累计 {n} 块", flush=True)
+    res = pipeline.import_kb_files(s, kid, srt_files, progress_cb=cb)
+    print("完成:", res)