chore: import upstream snapshot with attribution

server/routes/batch.py

@@ -0,0 +1,61 @@
+import asyncio
+
+from fastapi import APIRouter, File, Form, HTTPException, UploadFile
+
+from entity.enums import LogLevel
+from server.services.batch_parser import parse_batch_file
+from server.services.batch_run_service import BatchRunService
+from server.state import ensure_known_session
+from utils.exceptions import ValidationError
+
+router = APIRouter()
+
+
+@router.post("/api/workflows/batch")
+async def execute_batch(
+    file: UploadFile = File(...),
+    session_id: str = Form(...),
+    yaml_file: str = Form(...),
+    max_parallel: int = Form(5),
+    log_level: str | None = Form(None),
+):
+    try:
+        manager = ensure_known_session(session_id, require_connection=True)
+    except ValidationError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+
+    if max_parallel < 1:
+        raise HTTPException(status_code=400, detail="max_parallel must be >= 1")
+
+    try:
+        content = await file.read()
+        tasks, file_base = parse_batch_file(content, file.filename or "batch.csv")
+    except ValidationError as exc:
+        raise HTTPException(status_code=400, detail=str(exc))
+
+    resolved_level = None
+    if log_level:
+        try:
+            resolved_level = LogLevel(log_level)
+        except ValueError:
+            raise HTTPException(status_code=400, detail="log_level must be either DEBUG or INFO")
+
+    service = BatchRunService()
+    asyncio.create_task(
+        service.run_batch(
+            session_id,
+            yaml_file,
+            tasks,
+            manager,
+            max_parallel=max_parallel,
+            file_base=file_base,
+            log_level=resolved_level,
+        )
+    )
+
+    return {
+        "status": "accepted",
+        "session_id": session_id,
+        "batch_id": session_id,
+        "task_count": len(tasks),
+    }