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zhixing-system/zhixing-server/tests/unit/selection/test_chart.py
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"""Application tests for bounded qfq chart series."""
from datetime import date, timedelta
import pandas as pd
import pytest
from zhixing_server.modules.selection.application.chart import (
GetSelectionChart,
SelectionChartNotFound,
)
from zhixing_server.modules.selection.domain.indicators import (
compute_kdj,
compute_zhixing_lines,
)
from zhixing_server.modules.selection.domain.models import SelectionBar, StockHistory
class FakeReader:
"""Return one deterministic history through the requested date."""
def __init__(self, history: StockHistory) -> None:
self.history = history
self.request: tuple[str, date] | None = None
def load_history(self, ts_code: str, target_trade_date: date) -> StockHistory:
self.request = (ts_code, target_trade_date)
return self.history
def _history(count: int) -> StockHistory:
start = date(2025, 1, 1)
bars = tuple(
SelectionBar(
trade_date=start + timedelta(days=index),
open=10.0 + index / 100,
high=11.0 + index / 100,
low=9.0 + index / 100,
close=10.5 + index / 100,
volume=1000.0 + index,
)
for index in range(count)
)
return StockHistory(ts_code="000001.SZ", name="平安银行", bars=bars)
def test_chart_computes_on_full_history_before_returning_last_250_points() -> None:
history = _history(260)
reader = FakeReader(history)
target = history.bars[-1].trade_date
chart = GetSelectionChart(reader).execute(history.ts_code, target)
assert reader.request == ("000001.SZ", target)
assert chart.source_adj == "qfq"
assert len(chart.points) == 250
assert chart.points[0].trade_date == history.bars[10].trade_date
assert chart.points[-1].trade_date == target
frame = pd.DataFrame(
{
"low": [bar.low for bar in history.bars],
"high": [bar.high for bar in history.bars],
"close": [bar.close for bar in history.bars],
}
)
expected = compute_kdj(frame).iloc[-1]
expected_white, expected_yellow = compute_zhixing_lines(frame["close"])
assert chart.points[-1].k == pytest.approx(float(expected["K"]))
assert chart.points[-1].d == pytest.approx(float(expected["D"]))
assert chart.points[-1].j == pytest.approx(float(expected["J"]))
assert chart.points[-1].trend_white == pytest.approx(float(expected_white.iloc[-1]))
assert chart.points[-1].trend_yellow == pytest.approx(float(expected_yellow.iloc[-1]))
def test_chart_filters_future_rows_and_preserves_nullable_points() -> None:
history = _history(12)
target = history.bars[-2].trade_date
incomplete = SelectionBar(
trade_date=history.bars[3].trade_date,
open=history.bars[3].open,
high=None,
low=history.bars[3].low,
close=None,
volume=None,
)
history = StockHistory(
ts_code=history.ts_code,
name=history.name,
bars=history.bars[:3] + (incomplete,) + history.bars[4:],
)
chart = GetSelectionChart(FakeReader(history)).execute(history.ts_code, target)
assert chart.points[-1].trade_date == target
assert all(point.trade_date <= target for point in chart.points)
assert chart.points[3].high is None
assert chart.points[3].volume is None
assert chart.points[3].k is None
assert chart.points[3].d is None
assert chart.points[3].j is None
def test_chart_rejects_empty_history() -> None:
reader = FakeReader(StockHistory(ts_code="000001.SZ", name="平安银行"))
with pytest.raises(SelectionChartNotFound, match="chart data not found"):
GetSelectionChart(reader).execute("000001.SZ", date(2026, 8, 8))