Simon
d9be75a98f
- agent/tools.py：Tool 元数据（JSON Schema）+ 白名单调用（异常转可读反馈，不中断对话） - agent/tools_impl.py：6 个受控工具 search_stocks / get_market_data / test_factor / run_backtest / get_experiment / compare_experiments —— 全部只读经 Job/Experiment 链路，研究自动归档；无 shell/任意执行/写删数据能力 - agent/llm.py：LLMClient 抽象 + OpenAI 兼容客户端（LLM_API_KEY/LLM_BASE_URL/LLM_MODEL 走 .env，未配置给出引导提示）+ 研究纪律 system prompt（反过拟合/样本外/成本） - agent/service.py：编排循环（tool/final JSON 决策 → 执行 → 回喂 → 结论），轮次上限兜底，未知工具拒绝 - /api/agent/chat；httpx 移至主依赖；Job 默认工厂抽取（api/agent/executor 复用） - 测试 6 项（白名单无 shell、完整研究循环产出、未知工具拒绝、轮次兜底），全量 79 passed / ruff clean
136 lines
4.5 KiB
Python
136 lines
4.5 KiB
Python
"""核心配置层：加载根目录 config.yaml + .env，向全应用提供 Settings。
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加载优先级：环境变量 > 根目录 .env > 根目录 config.yaml > 代码默认值。
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密钥只存在于 .env（config.yaml 经 *_env 字段引用变量名）。
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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from functools import lru_cache
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from pathlib import Path
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import yaml
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# 项目根：<root>/backend/app/core/config.py → parents[3]
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PROJECT_ROOT = Path(__file__).resolve().parents[3]
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BACKEND_ROOT = PROJECT_ROOT / "backend"
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CONFIG_PATH = PROJECT_ROOT / "config.yaml"
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ENV_PATH = PROJECT_ROOT / ".env"
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_SQLITE_PREFIX = "sqlite:///"
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def _load_env_file(path: Path) -> None:
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"""把 .env 读入 os.environ（不覆盖已存在的环境变量）。"""
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if not path.exists():
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return
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for raw in path.read_text(encoding="utf-8").splitlines():
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line = raw.strip()
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if not line or line.startswith("#") or "=" not in line:
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continue
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key, _, value = line.partition("=")
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key = key.strip()
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if key and key not in os.environ:
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os.environ[key] = value.strip().strip("\"'")
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def _load_config_yaml(path: Path) -> dict:
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if not path.exists():
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return {}
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with path.open(encoding="utf-8") as fh:
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data = yaml.safe_load(fh)
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return data if isinstance(data, dict) else {}
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def _deep(cfg: dict, dotted: str) -> object:
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node: object = cfg
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for part in dotted.split("."):
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if not isinstance(node, dict) or part not in node:
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return None
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node = node[part]
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return node
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@dataclass(frozen=True)
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class Settings:
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"""应用全局配置（已解析、不可变）。"""
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app_name: str
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app_version: str
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debug: bool
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secret_key: str
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api_prefix: str
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database_url: str
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sqlalchemy_echo: bool
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migrations_dir: Path
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data_source_primary: str
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data_source_fallback: str
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tushare_token: str
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llm_api_key: str
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llm_base_url: str | None
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llm_model: str
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storage: dict[str, Path]
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config_path: Path = CONFIG_PATH
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env_path: Path = ENV_PATH
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project_root: Path = PROJECT_ROOT
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def _resolve_storage_dirs(cfg: dict) -> dict[str, Path]:
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storage_cfg = _deep(cfg, "storage") or {}
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return {
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key: PROJECT_ROOT / str(value)
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for key, value in storage_cfg.items()
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if isinstance(value, str)
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}
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def _normalize_sqlite_url(url: str) -> str:
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"""把相对路径的 sqlite URL 解析为项目根下的绝对路径。"""
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if not url.startswith(_SQLITE_PREFIX):
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return url
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rest = url[len(_SQLITE_PREFIX) :]
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if rest.startswith("/"): # 已是绝对路径（sqlite:////abs/path）
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return url
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return f"{_SQLITE_PREFIX}{(PROJECT_ROOT / rest).resolve()}"
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@lru_cache
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def get_settings() -> Settings:
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"""加载并缓存 Settings。config / env 路径可通过参数覆盖以便测试。"""
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_load_env_file(ENV_PATH)
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cfg = _load_config_yaml(CONFIG_PATH)
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secret_env = _deep(cfg, "app.secret_key_env") or "APP_SECRET_KEY"
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url_env = _deep(cfg, "database.url_env") or "DATABASE_URL"
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token_env = _deep(cfg, "data_source.tushare_token_env") or "TUSHARE_TOKEN"
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llm_key_env = _deep(cfg, "agent.llm_key_env") or "LLM_API_KEY"
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llm_url_env = _deep(cfg, "agent.llm_base_url_env") or "LLM_BASE_URL"
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llm_model_env = _deep(cfg, "agent.llm_model_env") or "LLM_MODEL"
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default_url = "sqlite:///./data/quant.db"
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database_url = os.environ.get(url_env) or default_url
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migrations_rel = _deep(cfg, "database.migrations_dir") or (
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"app/infrastructure/persistence/migrations"
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)
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return Settings(
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app_name=str(_deep(cfg, "app.name") or "qlib-platform"),
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app_version=str(_deep(cfg, "app.version") or "0.1.0"),
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debug=bool(_deep(cfg, "app.debug") or False),
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secret_key=os.environ.get(secret_env, "dev-insecure-key"),
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api_prefix=str(_deep(cfg, "api.prefix") or "/api"),
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database_url=_normalize_sqlite_url(database_url),
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sqlalchemy_echo=bool(_deep(cfg, "database.echo") or False),
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migrations_dir=BACKEND_ROOT / str(migrations_rel),
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data_source_primary=str(_deep(cfg, "data_source.primary") or "tushare"),
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data_source_fallback=str(_deep(cfg, "data_source.fallback") or "sina"),
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tushare_token=os.environ.get(token_env, ""),
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llm_api_key=os.environ.get(llm_key_env, ""),
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llm_base_url=os.environ.get(llm_url_env) or None,
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llm_model=os.environ.get(llm_model_env) or "qwen-plus",
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storage=_resolve_storage_dirs(cfg),
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)
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