185 lines
7.2 KiB
Python
185 lines
7.2 KiB
Python
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"""
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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）。
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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）。
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用法:
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cd backend
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.\\venv\\Scripts\\python.exe scripts\\e2e_zhini12_bbb_md.py
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环境变量:
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API_BASE 默认 http://127.0.0.1:8037
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E2E_AGENT_NAME 默认 知你客服12号
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E2E_REL_FILE 默认 user_data/bbb.md
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E2E_FILE_CONTENT 写入内容，默认带标记行便于校验
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E2E_RESTART_CELERY 默认 1；设为 0 跳过重启 Worker
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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
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"""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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import time
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import uuid
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from pathlib import Path
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BACKEND_DIR = Path(__file__).resolve().parents[1]
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VENV_PY = BACKEND_DIR / "venv" / "Scripts" / "python.exe"
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API_BASE = os.environ.get("API_BASE", "http://127.0.0.1:8037")
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AGENT_NAME = os.environ.get("E2E_AGENT_NAME", "知你客服12号")
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REL_PATH = os.environ.get("E2E_REL_FILE", "user_data/bbb.md")
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FILE_CONTENT = os.environ.get(
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"E2E_FILE_CONTENT",
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"# bbb\n\nzhini12 e2e bbb marker\n",
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)
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def _restart_celery() -> None:
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ps = (
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"Get-CimInstance Win32_Process | "
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"Where-Object { $_.CommandLine -match 'celery_app' } | "
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"ForEach-Object { Stop-Process -Id $_.ProcessId -Force -ErrorAction SilentlyContinue }"
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)
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subprocess.run(
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["powershell", "-NoProfile", "-Command", ps],
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cwd=str(BACKEND_DIR),
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capture_output=True,
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text=True,
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)
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time.sleep(2)
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if not VENV_PY.is_file():
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print("未找到 venv Python，跳过启动 Celery", file=sys.stderr)
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return
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kw: dict = {"cwd": str(BACKEND_DIR), "stdout": subprocess.DEVNULL, "stderr": subprocess.STDOUT}
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if sys.platform == "win32":
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kw["creationflags"] = subprocess.CREATE_NEW_PROCESS_GROUP # type: ignore[attr-defined]
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popen_env = os.environ.copy()
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if os.environ.get("E2E_LLM_TOOL_CHOICE", "required").strip().lower() not in (
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"0",
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"false",
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"no",
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"auto",
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):
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popen_env["LLM_TOOL_CHOICE"] = "required"
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subprocess.Popen(
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[
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str(VENV_PY),
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"-m",
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"celery",
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"-A",
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"app.core.celery_app",
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"worker",
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"--loglevel=info",
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"--pool=threads",
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"--concurrency=8",
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],
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env=popen_env,
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**kw,
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)
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print("已启动 Celery，等待就绪…")
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time.sleep(4)
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def main() -> int:
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os.chdir(BACKEND_DIR)
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sys.path.insert(0, str(BACKEND_DIR))
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# 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
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if os.environ.get("E2E_LLM_TOOL_CHOICE", "required").strip().lower() not in ("0", "false", "no", "auto"):
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os.environ["LLM_TOOL_CHOICE"] = "required"
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if os.environ.get("E2E_RESTART_CELERY", "1").strip().lower() not in ("0", "false", "no"):
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_restart_celery()
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import httpx
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from app.core.database import SessionLocal
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from app.core.security import create_access_token
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from app.models.agent import Agent
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from app.models.user import User
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db = SessionLocal()
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try:
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agent = db.query(Agent).filter(Agent.name == AGENT_NAME).first()
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if not agent:
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print(f"未找到「{AGENT_NAME}」", file=sys.stderr)
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return 1
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owner = db.query(User).filter(User.id == agent.user_id).first()
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user = owner or db.query(User).first()
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if not user:
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print("无用户", file=sys.stderr)
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return 1
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token = create_access_token(data={"sub": user.id, "username": user.username})
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headers = {"Authorization": f"Bearer {token}"}
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uid = f"bbb12_{uuid.uuid4().hex[:10]}"
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abs_win = str((BACKEND_DIR.parent / REL_PATH.replace("/", os.sep)).resolve())
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use_abs = os.environ.get("E2E_USE_ABSPATH_MSG", "").strip().lower() in ("1", "true", "yes")
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path_hint = (
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f"绝对路径 {json.dumps(abs_win, ensure_ascii=False)}"
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if use_abs
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else f"相对路径 {REL_PATH}（相对工作区根）"
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)
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_basename = os.path.basename(REL_PATH.replace("\\", "/"))
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q = (
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f"请在 D:\\\\aaa\\\\aiagent\\\\user_data 目录下创建 {_basename}。"
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f"必须通过工具 file_write 写入：优先使用 {path_hint}；"
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f"content 为 {json.dumps(FILE_CONTENT, ensure_ascii=False)}，mode 为 w。"
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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）。"
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f"最后一行仍输出单行 JSON：intent、reply、user_profile。"
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)
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print(f"agent={agent.id} ({AGENT_NAME}) user_id={uid}\n目标文件(解析后): {abs_win}\n")
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def poll(client: httpx.Client, eid: str, timeout: float = 300.0) -> dict:
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t0 = time.time()
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while time.time() - t0 < timeout:
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r = client.get(f"/api/v1/executions/{eid}", headers=headers)
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r.raise_for_status()
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d = r.json()
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st = d.get("status")
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if st == "completed":
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return d
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if st == "failed":
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print("failed:", d.get("error_message"), file=sys.stderr)
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raise RuntimeError("执行失败")
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time.sleep(1.5)
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raise TimeoutError("超时")
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with httpx.Client(base_url=API_BASE, timeout=300.0) as client:
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r = client.post(
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"/api/v1/executions",
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json={"agent_id": str(agent.id), "input_data": {"query": q, "user_id": uid}},
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headers=headers,
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)
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if r.status_code >= 400:
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print(r.text, file=sys.stderr)
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r.raise_for_status()
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eid = r.json()["id"]
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print(f"execution={eid}")
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out = poll(client, eid)
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od = out.get("output_data") or {}
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result = od.get("result", od)
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print("\n--- API output_data.result (截断 1500 字符) ---\n")
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print(str(result)[:1500])
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abs_file = Path(abs_win).resolve()
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if not abs_file.is_file():
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print(f"\n[FAIL] 磁盘未找到: {abs_file}", file=sys.stderr)
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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)
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return 2
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body = abs_file.read_text(encoding="utf-8", errors="replace")
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print(f"\n[OK] 文件存在: {abs_file}\n--- 内容 ---\n{body}\n---")
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marker = os.environ.get("E2E_MARKER", "zhini12 e2e bbb marker")
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if marker and marker not in body and FILE_CONTENT.strip() and marker in FILE_CONTENT:
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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)
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finally:
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db.close()
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print("\n完成")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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