simonandClaude Opus 4.7
271a9343a5
7 Sprints 全部完成: Sprint 0: 基础设施 (DataManager + MariaDB) Sprint 1: 因子引擎 (34因子/12分类) Sprint 2: VectorBT 回测 (5策略+截面) Sprint 3: Optuna 优化 (+Walk-Forward) Sprint 4: ML 模型 (LightGBM+CatBoost) Sprint 5: Qwen 情绪因子 (三源新闻+日期对齐) Sprint 6: Agent 系统 (4Agent+日报.md/.html) 生产加固 (15项): Tushare双源fallback, SSH自动恢复, pool_pre_ping, save_daily先删后插, load_dotenv绝对路径, 日报5d/20d修复, RiskAgent改上证指数, 昨日对比+数据截止, mac_report utf8mb4, CLAUDE-*.md 9条已知Bug, demo全参数化, djapi数据源归一化, indexDatas API修正 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
"""
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Agent 抽象基类。
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每个 Agent 负责一个独立任务，通过构造函数注入已有引擎，组合而非重建。
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"""
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from abc import ABC, abstractmethod
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from datetime import datetime
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class BaseAgent(ABC):
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"""Agent 基类。"""
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name: str = ""
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description: str = ""
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def __init__(self, **engines):
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"""
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注入已有基础设施。
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支持的引擎:
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dm: DataManager
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fe: FactorEngine
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bt: VectorBTEngine
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opt: OptunaEngine
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sent: SentimentEngine
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ml_models: dict[str, BaseModel]
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"""
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self.dm = engines.get("dm")
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self.fe = engines.get("fe")
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self.bt = engines.get("bt")
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self.opt = engines.get("opt")
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self.sent = engines.get("sent")
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self.ml_models = engines.get("ml_models", {})
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@abstractmethod
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def execute(self, **kwargs) -> dict:
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"""执行 Agent 任务，返回结构化结果。"""
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...
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def log(self, msg: str):
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print(f"[{self.name}] {msg}")
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def _today(self) -> str:
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return datetime.now().strftime("%Y%m%d")
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