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feat(adj): 除权因子独立同步 + 事件明细扩列 + 按需窗口优化

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- 扩列: adj_factor 表扩至 8 列(dividend/bonus/allot/allot_price/prev_close 明细, 可空), fuyao 从事件 dump 原始成分回填; merge 变更检测按 ex_factor diff>1e-9, 仅明细回填不计入受影响列表; 字段说明补齐
- 独立同步: /api/pipeline/adj-factor/run 端点(共用任务机制: 单飞+重任务槽+行情暂停), Data 页除权因子卡片设置齿轮弹窗(生效数据源/能力徽标/TickFlow 无明细提示), 因子变更个股自动 enriched 局部重算
- 按需优化: 独立同步事件窗口钳到本地日K起点(更早事件在前复权 cum/total 两侧抵消, 对已存价格零影响); fuyao 配价由全有或全无改为逐只按需(远古事件只拖累自己, 不再整轮回退单标的接口); 实测全市场因子阶段 15min+ → ~11s, 配价 3676/3676 走本地 dump 零回退
- 盘后管道步骤条显示各能力路由徽标(矩阵驱动); README 补桌面端 macOS 安装注意事项
- 测试: 明细列 merge 语义 4 例 / 独立同步联动 5 例 / 远古事件不连累全场回归; 全量回归通过(2 例历史遗留失败与本改动无关, 基线同样失败)
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shy3130
2026-10-07 21:45:40 +08:00
parent a1ae815f4f
commit badab07619
17 changed files with 782 additions and 82 deletions
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docs/plugin-development.md
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@@ -147,7 +147,9 @@ class MyProvider:
def get_adj_factors(self, symbols, start_time, end_time, asset_type="stock",
on_chunk_done=None) -> pl.DataFrame:
"""除权因子: [symbol, trade_date, ex_factor]"""
"""除权因子: [symbol, trade_date, ex_factor]
(+可选明细列 dividend/bonus/allot/allot_price/prev_close, 均可空 —
提供时用于等差显示投影与全精度因子链重建)"""
def get_minute(self, symbols, start_time, end_time, asset_type="stock",
on_chunk_done=None, freq="1m") -> pl.DataFrame: