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projectAIpopular/gateway/settings.py
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"""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。
用户可在 Web 界面"模型设置"里调整并持久化到 config/settings.jsongitignore),
重启后保留。调整会触发 v2 管线重建(gateway.api.build_v2_pipeline 重新读取)。
默认值与 config/config.yaml 的 v2 段一致;settings.json 只存用户改动覆盖项。
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any, Dict, Optional
_SETTINGS_PATH = Path(__file__).resolve().parent.parent / "config" / "settings.json"
# 可调整项(含默认值);用户改动存这里
DEFAULTS: Dict[str, Any] = {
"worker": {
"backend": "llama_server", # mock | openai/api | llama_server
"model": "models/qwen3.5-4b-q4_k_m.gguf",
"base_url": "", # openai 后端填 http://127.0.0.1:11434/v1 等
"port": 8901, # llama_server 端口
"temperature": 0.3,
"max_fix_attempts": 2,
"code_timeout_s": 10,
},
"architect": {
"model": "deepseek-chat",
"base_url": "https://api.deepseek.com/v1",
"api_key_env": "DEEPSEEK_API_KEY",
},
"pipeline": {
"fast_path": True,
"rounds_cap": 6,
"api_token_cap": 8000,
"breach_policy": "architect_do",
},
}
class SettingsStore:
"""用户可调整设置(内存 + settings.json 持久化)。"""
def __init__(self, path: Optional[Path] = None):
self._path = Path(path) if path else _SETTINGS_PATH
self._data: Dict[str, Any] = {}
self.load()
# ---------- 持久化 ----------
def load(self) -> None:
if self._path.exists():
try:
self._data = json.loads(self._path.read_text(encoding="utf-8"))
except Exception:
self._data = {}
else:
self._data = {}
def save(self) -> None:
self._path.parent.mkdir(parents=True, exist_ok=True)
self._path.write_text(
json.dumps(self._data, ensure_ascii=False, indent=2), encoding="utf-8")
# ---------- 访问 ----------
def to_dict(self) -> Dict[str, Any]:
"""返回 默认值 + 用户覆盖 合并后的完整设置。"""
merged: Dict[str, Any] = {}
for section, defaults in DEFAULTS.items():
ov = self._data.get(section, {})
merged[section] = {**defaults, **(ov if isinstance(ov, dict) else {})}
return merged
def get(self, section: str, key: str, default: Any = None) -> Any:
merged = self.to_dict()
return merged.get(section, {}).get(key, default)
def update(self, patch: Dict[str, Any]) -> Dict[str, Any]:
"""应用部分更新(可只传改动的 section/key)。返回合并后的完整设置。"""
for section, values in patch.items():
if section not in DEFAULTS or not isinstance(values, dict):
continue
cur = self._data.setdefault(section, {})
for k, v in values.items():
if k in DEFAULTS[section]:
cur[k] = _coerce(v, DEFAULTS[section][k])
self.save()
return self.to_dict()
def reset(self) -> Dict[str, Any]:
"""恢复默认。"""
self._data = {}
self.save()
return self.to_dict()
def _coerce(value: Any, template: Any) -> Any:
"""按默认值的类型把输入转成一致类型(数值容错)。"""
if isinstance(template, bool):
return bool(value)
if isinstance(template, int):
try:
return int(float(value))
except (TypeError, ValueError):
return template
if isinstance(template, float):
try:
return float(value)
except (TypeError, ValueError):
return template
return value
def load_settings(path: Optional[Path] = None) -> SettingsStore:
return SettingsStore(path)