""" 通过「知你客服12号」Agent 实测:在 user_data 下创建 bbb.md(对应 D:\\aaa\\aiagent\\user_data\\bbb.md)。 依赖:API(默认 8037)、Redis、Celery、LLM;引擎需已修复 End 节点优先于 vector-upsert(否则界面 result 可能仍不对,但 file_write 可能已执行)。 用法: cd backend .\\venv\\Scripts\\python.exe scripts\\e2e_zhini12_bbb_md.py 环境变量: API_BASE 默认 http://127.0.0.1:8037 E2E_AGENT_NAME 默认 知你客服12号 E2E_REL_FILE 默认 user_data/bbb.md E2E_FILE_CONTENT 写入内容,默认带标记行便于校验 E2E_RESTART_CELERY 默认 1;设为 0 跳过重启 Worker E2E_USE_ABSPATH_MSG 设为 1 时在用户话术中额外要求使用绝对路径 D:\\aaa\\aiagent\\user_data\\bbb.md """ from __future__ import annotations import json import os import subprocess import sys import time import uuid from pathlib import Path BACKEND_DIR = Path(__file__).resolve().parents[1] VENV_PY = BACKEND_DIR / "venv" / "Scripts" / "python.exe" API_BASE = os.environ.get("API_BASE", "http://127.0.0.1:8037") AGENT_NAME = os.environ.get("E2E_AGENT_NAME", "知你客服12号") REL_PATH = os.environ.get("E2E_REL_FILE", "user_data/bbb.md") FILE_CONTENT = os.environ.get( "E2E_FILE_CONTENT", "# bbb\n\nzhini12 e2e bbb marker\n", ) def _restart_celery() -> None: ps = ( "Get-CimInstance Win32_Process | " "Where-Object { $_.CommandLine -match 'celery_app' } | " "ForEach-Object { Stop-Process -Id $_.ProcessId -Force -ErrorAction SilentlyContinue }" ) subprocess.run( ["powershell", "-NoProfile", "-Command", ps], cwd=str(BACKEND_DIR), capture_output=True, text=True, ) time.sleep(2) if not VENV_PY.is_file(): print("未找到 venv Python,跳过启动 Celery", file=sys.stderr) return kw: dict = {"cwd": str(BACKEND_DIR), "stdout": subprocess.DEVNULL, "stderr": subprocess.STDOUT} if sys.platform == "win32": kw["creationflags"] = subprocess.CREATE_NEW_PROCESS_GROUP # type: ignore[attr-defined] popen_env = os.environ.copy() if os.environ.get("E2E_LLM_TOOL_CHOICE", "required").strip().lower() not in ( "0", "false", "no", "auto", ): popen_env["LLM_TOOL_CHOICE"] = "required" subprocess.Popen( [ str(VENV_PY), "-m", "celery", "-A", "app.core.celery_app", "worker", "--loglevel=info", "--pool=threads", "--concurrency=8", ], env=popen_env, **kw, ) print("已启动 Celery,等待就绪…") time.sleep(4) def main() -> int: os.chdir(BACKEND_DIR) sys.path.insert(0, str(BACKEND_DIR)) # 实测 file_write:部分模型在 tool_choice=auto 下不发起 tool_calls,只输出伪造的 JSON 文本;E2E 默认要求至少一次函数调用 if os.environ.get("E2E_LLM_TOOL_CHOICE", "required").strip().lower() not in ("0", "false", "no", "auto"): os.environ["LLM_TOOL_CHOICE"] = "required" if os.environ.get("E2E_RESTART_CELERY", "1").strip().lower() not in ("0", "false", "no"): _restart_celery() import httpx from app.core.database import SessionLocal from app.core.security import create_access_token from app.models.agent import Agent from app.models.user import User db = SessionLocal() try: agent = db.query(Agent).filter(Agent.name == AGENT_NAME).first() if not agent: print(f"未找到「{AGENT_NAME}」", file=sys.stderr) return 1 owner = db.query(User).filter(User.id == agent.user_id).first() user = owner or db.query(User).first() if not user: print("无用户", file=sys.stderr) return 1 token = create_access_token(data={"sub": user.id, "username": user.username}) headers = {"Authorization": f"Bearer {token}"} uid = f"bbb12_{uuid.uuid4().hex[:10]}" abs_win = str((BACKEND_DIR.parent / REL_PATH.replace("/", os.sep)).resolve()) use_abs = os.environ.get("E2E_USE_ABSPATH_MSG", "").strip().lower() in ("1", "true", "yes") path_hint = ( f"绝对路径 {json.dumps(abs_win, ensure_ascii=False)}" if use_abs else f"相对路径 {REL_PATH}(相对工作区根)" ) _basename = os.path.basename(REL_PATH.replace("\\", "/")) q = ( f"请在 D:\\\\aaa\\\\aiagent\\\\user_data 目录下创建 {_basename}。" f"必须通过工具 file_write 写入:优先使用 {path_hint};" f"content 为 {json.dumps(FILE_CONTENT, ensure_ascii=False)},mode 为 w。" f"file_write 返回的 JSON 必须原样体现在你最终 reply 的可读说明里(含 success 与 file_path)。" f"最后一行仍输出单行 JSON:intent、reply、user_profile。" ) print(f"agent={agent.id} ({AGENT_NAME}) user_id={uid}\n目标文件(解析后): {abs_win}\n") def poll(client: httpx.Client, eid: str, timeout: float = 300.0) -> dict: t0 = time.time() while time.time() - t0 < timeout: r = client.get(f"/api/v1/executions/{eid}", headers=headers) r.raise_for_status() d = r.json() st = d.get("status") if st == "completed": return d if st == "failed": print("failed:", d.get("error_message"), file=sys.stderr) raise RuntimeError("执行失败") time.sleep(1.5) raise TimeoutError("超时") with httpx.Client(base_url=API_BASE, timeout=300.0) as client: r = client.post( "/api/v1/executions", json={"agent_id": str(agent.id), "input_data": {"query": q, "user_id": uid}}, headers=headers, ) if r.status_code >= 400: print(r.text, file=sys.stderr) r.raise_for_status() eid = r.json()["id"] print(f"execution={eid}") out = poll(client, eid) od = out.get("output_data") or {} result = od.get("result", od) print("\n--- API output_data.result (截断 1500 字符) ---\n") print(str(result)[:1500]) abs_file = Path(abs_win).resolve() if not abs_file.is_file(): print(f"\n[FAIL] 磁盘未找到: {abs_file}", file=sys.stderr) print("若 API 已 completed:可能是模型未触发 file_write,或路径/权限问题;可看 Celery 日志「执行工具 file_write」。", file=sys.stderr) return 2 body = abs_file.read_text(encoding="utf-8", errors="replace") print(f"\n[OK] 文件存在: {abs_file}\n--- 内容 ---\n{body}\n---") marker = os.environ.get("E2E_MARKER", "zhini12 e2e bbb marker") if marker and marker not in body and FILE_CONTENT.strip() and marker in FILE_CONTENT: print(f"[WARN] 未在文件中发现预期标记「{marker}」,可能内容与 E2E_FILE_CONTENT 不一致", file=sys.stderr) finally: db.close() print("\n完成") return 0 if __name__ == "__main__": raise SystemExit(main())