tzt
374dc765c2
- T17 模型池：PoolStore（local/budget/premium 条目 + architect/worker/agent 角色指派），
/pool CRUD+连通测试+模型探测端点；build_v2_pipeline 池指派优先（测试 override 最后）；
V2Stats 新增 by_model 按 token/成本分账
- T18 智能体：OpenAI 兼容工具调用客户端（transport 可注入）+ AgentService
（事件落盘 agent_runs/{id}/events.jsonl）+ /agent 提交/status/events/SSE stream
+ 工作区浏览/读取端点（越界 400）；轮数与 token 双护栏，模型经池 agent 角色或经典回退
- 新增测试 16 项，全量 262 passed（httpx 假注入，不依赖真实模型/key）
121 lines
4.2 KiB
Python
121 lines
4.2 KiB
Python
"""可调整的运行设置（SettingsStore）—— 让用户自定义内置小模型 / 大模型 / 管线。
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用户可在 Web 界面"模型设置"里调整并持久化到 config/settings.json（gitignore），
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重启后保留。调整会触发 v2 管线重建（gateway.api.build_v2_pipeline 重新读取）。
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默认值与 config/config.yaml 的 v2 段一致；settings.json 只存用户改动覆盖项。
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any, Dict, Optional
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_SETTINGS_PATH = Path(__file__).resolve().parent.parent / "config" / "settings.json"
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# 可调整项（含默认值）；用户改动存这里
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DEFAULTS: Dict[str, Any] = {
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"worker": {
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"backend": "llama_server", # mock | openai/api | llama_server
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"model": "models/qwen3.5-4b-q4_k_m.gguf",
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"base_url": "", # openai 后端填 http://127.0.0.1:11434/v1 等
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"port": 8901, # llama_server 端口
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"temperature": 0.3,
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"max_fix_attempts": 2,
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"per_step_timeout_s": 15,
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"code_timeout_s": 10,
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},
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"architect": {
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"model": "deepseek-v4-flash",
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"base_url": "https://api.deepseek.com",
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"api_key": "",
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},
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"pipeline": {
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"fast_path": True,
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"rounds_cap": 6,
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"api_token_cap": 8000,
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"breach_policy": "architect_do",
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},
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"agent": {
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"workspace_dir": "agent_workspace", # 智能体工作区根目录（越界即拒）
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"max_rounds": 8, # 工具循环轮数上限
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"token_cap": 20000, # 单次智能体任务 token 熔断
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},
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}
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class SettingsStore:
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"""用户可调整设置（内存 + settings.json 持久化）。"""
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def __init__(self, path: Optional[Path] = None):
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self._path = Path(path) if path else _SETTINGS_PATH
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self._data: Dict[str, Any] = {}
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self.load()
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# ---------- 持久化 ----------
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def load(self) -> None:
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if self._path.exists():
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try:
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self._data = json.loads(self._path.read_text(encoding="utf-8"))
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except Exception:
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self._data = {}
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else:
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self._data = {}
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def save(self) -> None:
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self._path.parent.mkdir(parents=True, exist_ok=True)
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self._path.write_text(
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json.dumps(self._data, ensure_ascii=False, indent=2), encoding="utf-8")
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# ---------- 访问 ----------
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def to_dict(self) -> Dict[str, Any]:
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"""返回 默认值 + 用户覆盖 合并后的完整设置。"""
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merged: Dict[str, Any] = {}
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for section, defaults in DEFAULTS.items():
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ov = self._data.get(section, {})
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merged[section] = {**defaults, **(ov if isinstance(ov, dict) else {})}
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return merged
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def get(self, section: str, key: str, default: Any = None) -> Any:
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merged = self.to_dict()
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return merged.get(section, {}).get(key, default)
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def update(self, patch: Dict[str, Any]) -> Dict[str, Any]:
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"""应用部分更新（可只传改动的 section/key）。返回合并后的完整设置。"""
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for section, values in patch.items():
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if section not in DEFAULTS or not isinstance(values, dict):
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continue
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cur = self._data.setdefault(section, {})
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for k, v in values.items():
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if k in DEFAULTS[section]:
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cur[k] = _coerce(v, DEFAULTS[section][k])
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self.save()
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return self.to_dict()
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def reset(self) -> Dict[str, Any]:
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"""恢复默认。"""
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self._data = {}
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self.save()
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return self.to_dict()
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def _coerce(value: Any, template: Any) -> Any:
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"""按默认值的类型把输入转成一致类型（数值容错）。"""
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if isinstance(template, bool):
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return bool(value)
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if isinstance(template, int):
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try:
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return int(float(value))
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except (TypeError, ValueError):
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return template
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if isinstance(template, float):
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try:
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return float(value)
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except (TypeError, ValueError):
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return template
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return value
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def load_settings(path: Optional[Path] = None) -> SettingsStore:
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return SettingsStore(path)
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