739d586aec
- EvalRun.triggered_by 全链路（manual/ai_assistant/cli）+ 迁移 b7d4e6f81c22 - 标准 agenteval-run SKILL.md 纳入版本管理，deploy 脚本同步 + API Key 注入 - 简单登录：AGENTEVAL_ADMIN_PASSWORD + HMAC 会话 token，require_auth 双凭据 - 对比报告限同场景（400）+ 空 results 误判修复 - /api/stats/dashboard 扩展聚合；/api/runs 返回场景/对象名 - 测试 218 → 232
133 lines
4.3 KiB
Python
133 lines
4.3 KiB
Python
"""CLI commands for evaluation execution."""
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import asyncio
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from typing import Any
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import typer
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from agenteval.evaluation.engine import EvalEngine
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from agenteval.models import RunTrigger
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from agenteval.storage.repository import RunRepository, ScenarioRepository, TargetRepository
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from rich.console import Console
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from rich.table import Table
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app = typer.Typer(help="评测执行")
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console = Console()
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def _progress(event: str, data: dict[str, Any]) -> None:
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if event == "case_start":
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console.print(f"[用例 {data['index']}/{data['total']}] {data['case_id']}")
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elif event == "turn_end":
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console.print(f" 第 {data['round']} 轮回复，耗时 {data['latency_ms']}ms")
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elif event == "rule_result":
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style = "green" if data["passed"] else "red"
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console.print(
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f" [{data['rule_type']}] {'通过' if data['passed'] else '失败'} - {data['reason']}", style=style
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)
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elif event == "error":
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console.print(f"执行异常: {data['error']}", style="red")
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@app.command("start", help="启动一次评测")
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def start_run(
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target_id: str = typer.Option(..., help="评测对象 ID"),
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scenario_id: str = typer.Option(..., help="评测场景 ID"),
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output_json: bool = typer.Option(False, "--output-json", help="运行结束后输出 JSON 报告"),
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) -> None:
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target = TargetRepository().get(target_id)
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if not target:
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console.print(f"评测对象不存在: {target_id}", style="red")
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raise typer.Exit(1)
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scenario = ScenarioRepository().get(scenario_id)
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if not scenario:
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console.print(f"评测场景不存在: {scenario_id}", style="red")
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raise typer.Exit(1)
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console.print(f"开始评测: 对象={target.name}, 场景={scenario.name}")
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engine = EvalEngine(target=target, scenario=scenario, triggered_by=RunTrigger.CLI)
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try:
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run = asyncio.run(engine.run(progress_callback=_progress))
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except Exception as exc:
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console.print(f"评测失败: {exc}", style="red")
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raise typer.Exit(1)
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console.print(f"评测完成: run_id={run.id}, status={run.status.value}")
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if run.summary:
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console.print_json(data=run.summary)
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if output_json:
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from agenteval.evaluation.report import render_json_report
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console.print(render_json_report(run.id))
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@app.command("list", help="列出评测执行记录")
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def list_runs() -> None:
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runs = RunRepository().list_all()
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if not runs:
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console.print("暂无评测记录")
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return
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table = Table(show_header=True, header_style="bold")
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table.add_column("Run ID")
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table.add_column("对象 ID")
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table.add_column("场景 ID")
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table.add_column("状态")
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table.add_column("开始时间")
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table.add_column("完成时间")
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for run in runs:
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table.add_row(
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run.id or "",
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run.target_id,
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run.scenario_id,
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run.status.value,
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str(run.started_at)[:19] if run.started_at else "",
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str(run.completed_at)[:19] if run.completed_at else "",
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)
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console.print(table)
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@app.command("status", help="查看评测执行状态")
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def run_status(run_id: str) -> None:
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run = RunRepository().get(run_id)
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if not run:
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console.print(f"评测记录不存在: {run_id}", style="red")
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raise typer.Exit(1)
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console.print_json(data=run.model_dump())
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@app.command("logs", help="查看评测执行日志（对话轮次）")
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def run_logs(run_id: str) -> None:
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repo = RunRepository()
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run = repo.get(run_id)
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if not run:
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console.print(f"评测记录不存在: {run_id}", style="red")
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raise typer.Exit(1)
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turns = repo.get_turns(run_id)
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if not turns:
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console.print("暂无对话记录")
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return
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table = Table(show_header=True, header_style="bold")
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table.add_column("Case ID")
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table.add_column("轮次")
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table.add_column("消息 ID")
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table.add_column("耗时(ms)")
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table.add_column("发送时间")
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table.add_column("回复时间")
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for turn in turns:
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table.add_row(
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turn.case_id,
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str(turn.round_index),
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turn.question_msg_id or "",
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str(turn.latency_ms) if turn.latency_ms is not None else "",
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str(turn.sent_at)[:19] if turn.sent_at else "",
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str(turn.received_at)[:19] if turn.received_at else "",
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)
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console.print(table)
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