aiagent/backend/scripts/compare_homework_agents.py

#!/usr/bin/env python3
"""
对比「学生作业管理助手」与「学生作业管理助手2号」在相同输入下的节点测试结果。
调用 POST /api/v1/nodes/test（同步），需后端运行且 DEEPSEEK_API_KEY 有效。

用法: cd backend && .\\venv\\Scripts\\python.exe scripts/compare_homework_agents.py
"""
from __future__ import annotations

import json
import os
import sys
import time
from typing import Any, Dict, List, Optional

import requests

BACKEND = os.getenv("PLATFORM_BASE_URL", "http://127.0.0.1:8037").rstrip("/")
USER = os.getenv("PLATFORM_USERNAME", "admin")
PWD = os.getenv("PLATFORM_PASSWORD", "123456")

NAMES = ["学生作业管理助手", "学生作业管理助手2号"]

TEST_QUERY = (
    "帮我记一项作业：语文摘抄名著段落3处并批注，截止周五下午5点前。"
    "请只回复一条简短清单（科目、要点、截止时间），不要超过120字。"
)


def _login() -> str:
    r = requests.post(
        f"{BACKEND}/api/v1/auth/login",
        data={"username": USER, "password": PWD},
        headers={"Content-Type": "application/x-www-form-urlencoded"},
        timeout=15,
    )
    r.raise_for_status()
    t = r.json().get("access_token")
    if not t:
        raise RuntimeError("无 access_token")
    return t


def _find_llm_node(wf: Dict[str, Any]) -> Optional[Dict[str, Any]]:
    for n in wf.get("nodes") or []:
        if n.get("type") == "llm":
            return n
    return None


def _get_agents(h: Dict[str, str]) -> List[Dict[str, Any]]:
    r = requests.get(
        f"{BACKEND}/api/v1/agents",
        params={"search": "学生作业管理", "limit": 50},
        headers=h,
        timeout=30,
    )
    r.raise_for_status()
    return list(r.json() or [])


def _fetch_agent_detail(h: Dict[str, str], aid: str) -> Dict[str, Any]:
    r = requests.get(f"{BACKEND}/api/v1/agents/{aid}", headers=h, timeout=30)
    r.raise_for_status()
    return r.json()


def _test_node(h: Dict[str, str], node: Dict[str, Any]):
    body = {"node": node, "input_data": {"query": TEST_QUERY}}
    t0 = time.perf_counter()
    r = requests.post(
        f"{BACKEND}/api/v1/nodes/test",
        headers=h,
        json=body,
        timeout=240,
    )
    elapsed_ms = int((time.perf_counter() - t0) * 1000)
    if r.status_code != 200:
        return elapsed_ms, "", f"HTTP {r.status_code}: {r.text[:800]}", None
    data = r.json()
    out = data.get("output")
    if isinstance(out, dict):
        text = out.get("output") or out.get("text") or json.dumps(out, ensure_ascii=False)
    else:
        text = str(out)
    err = data.get("error_message")
    status = data.get("status")
    return elapsed_ms, text[:4000], err, status


def main() -> int:
    if hasattr(sys.stdout, "reconfigure"):
        try:
            sys.stdout.reconfigure(encoding="utf-8")
        except Exception:
            pass
    try:
        token = _login()
    except Exception as e:
        print("登录失败:", e, file=sys.stderr)
        return 1
    h = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

    agents = _get_agents(h)
    by_name = {a.get("name"): a for a in agents}

    results = []
    for name in NAMES:
        a = by_name.get(name)
        if not a:
            results.append(
                {"name": name, "error": f"未找到名为「{name}」的 Agent"}
            )
            continue
        detail = _fetch_agent_detail(h, a["id"])
        wf = detail.get("workflow_config") or {}
        node = _find_llm_node(wf)
        if not node:
            results.append({"name": name, "id": a["id"], "error": "工作流中无 LLM 节点"})
            continue
        data = node.get("data") or {}
        elapsed_ms, text, err, st = _test_node(h, node)
        results.append(
            {
                "name": name,
                "id": a["id"],
                "provider": data.get("provider"),
                "model": data.get("model"),
                "elapsed_ms": elapsed_ms,
                "status": st,
                "api_error": err,
                "output_excerpt": text[:2000],
            }
        )

    print("=== 对比测试（同步节点测试 API）===")
    print("输入:", TEST_QUERY)
    print()
    for r in results:
        print(f"【{r['name']}】")
        if r.get("error"):
            print(" ", r["error"])
            print()
            continue
        print(f"  id: {r['id']}")
        print(f"  provider/model: {r.get('provider')} / {r.get('model')}")
        print(f"  耗时: {r['elapsed_ms']} ms  status: {r.get('status')}")
        if r.get("api_error"):
            print(f"  error_message: {r['api_error']}")
        print(f"  输出节选:\n{r.get('output_excerpt', '')}\n")

    return 0


if __name__ == "__main__":
    raise SystemExit(main())