feat(quant): M7.3 研究行情口径显式化(默认不复权 none,可切 qfq)
- DailyBarRepository.get_range_many / stream_range_many_columns 增加 adjust 参数 (默认 'none')→ SQL 层过滤口径,消除 stock_daily 混 source/adjust 污染因子的风险 - ResearchSpec / SelectionQuery 增加 price_adjustment(none|qfq),随 config_snapshot 落库可溯源;ResearchService._load_daily 与 SelectionService 装配按口径取数 - tests/test_price_adjustment.py:repo 读取按 adjust 过滤(none/qfq 各自命中)、 spec 默认与字段记录;全量 pytest 通过
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@@ -62,6 +62,10 @@ class ResearchSpec(BaseModel):
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type: str = Field(default="backtest", pattern="^(factor_test|backtest)$")
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universe: UniverseSpec = UniverseSpec()
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price_adjustment: str = Field(
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default="none", pattern="^(none|qfq)$",
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description="研究行情口径:none 不复权(默认)/ qfq 前复权(result 与 config_snapshot 中显式)",
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)
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factors: list[FactorSpec] = Field(min_length=1)
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selection: SelectionSpec = SelectionSpec()
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rebalance: str = Field(default="monthly", pattern="^(weekly|monthly)$")
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