666ghj/MiroFish · error · ValueError

模拟配置不存在: {simulation_id}

Error message

模拟配置不存在: {simulation_id}

What it means

interview_all_agents requires simulation_config.json inside the run directory to discover agents; if the run directory exists but that file is missing, ValueError('模拟配置不存在') is raised. This means the run state dir is present but incomplete — config was never written, was moved, or was deleted.

Source

Thrown at backend/app/services/simulation_runner.py:1848

            simulation_id: 模拟ID
            prompt: 采访问题（所有Agent使用相同问题）
            platform: 指定平台（可选）
                - "twitter": 只采访Twitter平台
                - "reddit": 只采访Reddit平台
                - None: 双平台模拟时每个Agent同时采访两个平台
            timeout: 超时时间（秒）

        Returns:
            全局采访结果字典
        """
        sim_dir = os.path.join(cls.RUN_STATE_DIR, simulation_id)
        if not os.path.exists(sim_dir):
            raise ValueError(f"模拟不存在: {simulation_id}")

        # 从配置文件获取所有Agent信息
        config_path = os.path.join(sim_dir, "simulation_config.json")
        if not os.path.exists(config_path):
            raise ValueError(f"模拟配置不存在: {simulation_id}")

        with open(config_path, 'r', encoding='utf-8') as f:
            config = json.load(f)

        agent_configs = config.get("agent_configs", [])
        if not agent_configs:
            raise ValueError(f"模拟配置中没有Agent: {simulation_id}")

        # 构建批量采访列表
        interviews = []
        for agent_config in agent_configs:
            agent_id = agent_config.get("agent_id")
            if agent_id is not None:
                interviews.append({
                    "agent_id": agent_id,
                    "prompt": prompt
                })

View on GitHub (pinned to b5b53acc57)

Solutions

1. Check whether the simulation ever reached RUNNING — if start failed, restart it so config is regenerated.
2. Restore simulation_config.json from the source config used at start time (the same payload POSTed to the start endpoint).
3. If you only need run artifacts (not interviews), use the artifacts/logs endpoints instead of interview_all_agents.

Example fix

// before
resp = SimulationRunner.interview_all_agents(sim_id, prompt); // dir exists, config missing

// after
config_path = Path(SimulationRunner.RUN_STATE_DIR) / sim_id / "simulation_config.json"
if not config_path.is_file():
    raise FileNotFoundError(f"config missing for {sim_id}; restart the simulation")
resp = SimulationRunner.interview_all_agents(sim_id, prompt);

def has_config(sim_id: str) -> bool:
    return (Path(SimulationRunner.RUN_STATE_DIR) / sim_id / "simulation_config.json").is_file()

try:
    SimulationRunner.interview_all_agents(sim_id, prompt)
except ValueError as e:
    if str(e).startswith("模拟配置不存在"):
        raise HTTPException(409, detail="run incomplete; restart simulation")
    raise

When it happens

Trigger: Run directory created but startup failed before writing simulation_config.json; manual deletion or partial copy of the run directory; a hand-crafted sim_dir without config.

Common situations: Post-mortem inspection of a failed STARTING run; file-transfer/backup tools that skipped the JSON; crashes between directory creation and config persistence.

Related errors

• 模拟配置中没有Agent: {simulation_id}
• 等待命令响应超时 ({timeout}秒)
• 模拟不存在: {simulation_id}
• 没有找到符合条件的实体，请检查图谱是否正确构建
• 不支持的平台: {platform}

AI-assisted analysis of 666ghj/MiroFish@b5b53acc57 (2026-08-14). Data as JSON: /api/errors/bfd503756fbc72f9. Report an issue: GitHub.