deerflow-code/skills-data/xdfx-single-agent-full-flow/scripts/xdfx_run_full_steps.py
2026-09-07 18:24:55 +08:00

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#!/usr/bin/env python3
"""Run the xdfx flow one step at a time.
The heavy business logic intentionally stays in xdfx_flow.py. This wrapper only
keeps "full flow" orchestration readable and preserves per-step feedback: every
subprocess line is flushed immediately, so OP/SAVE/ERROR/STEP feedback remains
visible to the calling agent.
"""
from __future__ import annotations
import argparse
import os
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")
STEP_LABELS = {
"step1": "受众目标分析与入库",
"step2": "关键传播节点分析与入库",
"step3": "受众脆弱点分析与入库",
"step4": "传播节点脆弱点分析与入库",
"step5": "受众策略分析与入库",
"step6": "传播节点策略分析与入库",
}
def build_parser() -> argparse.ArgumentParser:
"""Parse only wrapper-owned flags; pass all other flags to xdfx_flow.py."""
parser = argparse.ArgumentParser(
description="按六个步骤运行 xdfx_flow.py,并实时转发中文反馈日志。",
add_help=True,
)
parser.add_argument("--from-step", choices=STEPS, default="step1")
parser.add_argument("--to-step", choices=STEPS, default="step6")
parser.add_argument(
"--continue-on-error",
action="store_true",
help="某一步返回非零退出码时仍继续执行后续步骤。",
)
return parser
def selected_steps(first: str, last: str) -> list[str]:
"""Return an inclusive step slice for resume/partial reruns."""
start = STEPS.index(first)
end = STEPS.index(last)
if start > end:
raise SystemExit("起始步骤必须小于或等于结束步骤")
return list(STEPS[start : end + 1])
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()
env["PYTHONIOENCODING"] = "utf-8"
process = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
encoding="utf-8",
errors="replace",
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(), waiting_user
def main(argv: list[str] | None = None) -> int:
parser = build_parser()
args, passthrough = parser.parse_known_args(argv)
flow_script = Path(__file__).with_name("xdfx_flow.py")
exit_code = 0
for step in selected_steps(args.from_step, args.to_step):
# 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, 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:
return code
return exit_code
if __name__ == "__main__":
raise SystemExit(main())