feat: add user-assisted xdfx skill flow

skills-data/xdfx-split-controller/scripts/xdfx_run_full_steps.py

@@ -15,6 +15,10 @@ import subprocess
 import sys
 from pathlib import Path
 
+if hasattr(sys.stdout, "reconfigure"):
+    sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+if hasattr(sys.stderr, "reconfigure"):
+    sys.stderr.reconfigure(encoding="utf-8", errors="replace")
 
 STEPS = ("step1", "step2", "step3", "step4", "step5", "step6")
 
@@ -53,7 +57,7 @@ def selected_steps(first: str, last: str) -> list[str]:
     return list(STEPS[start : end + 1])
 
 
-def stream_command(step: str, cmd: list[str]) -> int:
+def stream_command(step: str, cmd: list[str]) -> tuple[int, bool]:
     """Run one step and forward stdout/stderr lines as they are produced."""
     print(f"运行步骤：{STEP_LABELS.get(step, step)}；执行命令：" + " ".join(cmd), flush=True)
     env = os.environ.copy()
@@ -68,10 +72,13 @@ def stream_command(step: str, cmd: list[str]) -> int:
         env=env,
     )
     assert process.stdout is not None
+    waiting_user = False
     for line in process.stdout:
+        if line.startswith("用户协助 "):
+            waiting_user = True
         sys.stdout.buffer.write(line.encode("utf-8", errors="replace"))
         sys.stdout.buffer.flush()
-    return process.wait()
+    return process.wait(), waiting_user
 
 
 def main(argv: list[str] | None = None) -> int:
@@ -83,7 +90,10 @@ def main(argv: list[str] | None = None) -> int:
         # Keep all business flags unchanged so the wrapper behaves like a thin
         # streaming version of repeated xdfx_flow.py --mode stepN calls.
         cmd = [sys.executable, str(flow_script), "--mode", step, *passthrough]
-        code = stream_command(step, cmd)
+        code, waiting_user = stream_command(step, cmd)
+        if waiting_user:
+            print("已发起用户协助，暂停后续步骤；请根据用户选择重跑当前步骤。", flush=True)
+            return code
         if code:
             exit_code = code
             if not args.continue_on_error: