feat(chart): M9-1 Chart DTO + Chart Service + Chart API(v3 §20)
- domain/entities/chart.py:ChartResult/OHLC/Volume/Series/EventMarker/ChartMetadata
(adjust_mode + execution_price_basis 口径元数据)+ SelectionHit
- application/services/chart_service.py:个股 K线/量/MA 指标;显示层 qfq/hfq 折算
(基于主口径 none 行情 × adjust_factor,绝回写研究数据);回测个股视图把实际成交
转 fills 标记并在显示口径不同时做坐标换算(v3 §20.3/§20.5)
- by-symbol 历史查询:SignalRepository/SelectionRepository.list_by_symbol(含溯源 id)
- api/charts.py:/stocks/{symbol}/chart|signals|selections、/backtests/{id}/stocks/{symbol}/chart
|trades|positions
- tests/test_charts.py(指标/qfq-hfq 折算断言/回测 fills/API 集成+404);全量 pytest 通过
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@@ -12,6 +12,7 @@ from datetime import date, datetime
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from sqlalchemy import select
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from sqlalchemy.orm import Session
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from app.domain.entities.chart import SelectionHit
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from app.domain.entities.selection import (
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SelectionCandidate,
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SelectionMeta,
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@@ -84,6 +85,27 @@ class SqlAlchemySelectionRepository:
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config_snapshot=json.loads(snap.query_json),
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)
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def list_by_symbol(self, symbol: str, limit: int = 50) -> list[SelectionHit]:
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rows = self._session.execute(
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select(SelectionResultModel, SelectionSnapshotModel.as_of, SelectionSnapshotModel.method)
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.join(SelectionSnapshotModel, SelectionSnapshotModel.id == SelectionResultModel.selection_id)
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.where(SelectionResultModel.symbol == symbol)
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.order_by(SelectionSnapshotModel.as_of.desc(), SelectionResultModel.rank)
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.limit(limit)
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).all()
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return [
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SelectionHit(
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selection_id=r[0].selection_id,
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as_of=r[1],
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method=r[2],
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symbol=r[0].symbol,
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rank=r[0].rank,
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score=float(r[0].score),
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selection_reason=json.loads(r[0].reason_json or "[]"),
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)
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for r in rows
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]
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def list_recent(
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self,
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as_of: date | None = None,
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