33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
from dataclasses import dataclass, field
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from orchestrator.contracts.config_loader import normalize_orchestrator_fields
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@dataclass
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class OrchestratorConfig:
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# Must be set to the local quant backtest output directory before use
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quant_backtest_path: str = ""
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trading_agents_config: dict = field(default_factory=dict)
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quant_weight_cap: float = 0.8 # quant 置信度上限
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llm_weight_cap: float = 0.9 # llm 置信度上限
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llm_batch_days: int = 7 # LLM 每隔几天运行一次（节省 API）
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cache_dir: str = "orchestrator/cache" # LLM 信号缓存目录
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llm_solo_penalty: float = 0.7 # LLM 单轨时的置信度折扣
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quant_solo_penalty: float = 0.8 # Quant 单轨时的置信度折扣
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def __post_init__(self) -> None:
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normalized = normalize_orchestrator_fields(
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{
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"quant_backtest_path": self.quant_backtest_path,
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"trading_agents_config": self.trading_agents_config,
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"quant_weight_cap": self.quant_weight_cap,
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"llm_weight_cap": self.llm_weight_cap,
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"llm_batch_days": self.llm_batch_days,
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"cache_dir": self.cache_dir,
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"llm_solo_penalty": self.llm_solo_penalty,
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"quant_solo_penalty": self.quant_solo_penalty,
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}
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)
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for key, value in normalized.items():
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setattr(self, key, value)
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