import datetime as dt
import pandas as pd

from app.screener.engine import ScreenContext
from app.screener.nodes.vcp_lite import VcpLite
from app.screener._test_fixtures import make_master, make_prices, make_flow


def _ctx(master, prices, flow):
    return ScreenContext(master=master, prices=prices, flow=flow,
                         kospi=pd.Series(dtype=float, name="kospi"),
                         asof=dt.date(2026, 5, 12))


def test_contracting_stock_scores_higher_than_expanding():
    asof = dt.date(2026, 5, 12)
    master = make_master(["CON", "EXP"])
    prices = make_prices(["CON", "EXP"], days=260, asof=asof)

    # CON: 최근 40일 변동성 축소 (high/low 좁힘)
    mask_recent_con = (prices["ticker"] == "CON") & (
        prices["date"] >= (asof - dt.timedelta(days=40)).isoformat()
    )
    prices.loc[mask_recent_con, "high"] = (prices.loc[mask_recent_con, "close"] * 1.003).astype(int)
    prices.loc[mask_recent_con, "low"]  = (prices.loc[mask_recent_con, "close"] * 0.997).astype(int)

    # EXP: 최근 40일 변동성 확대
    mask_recent_exp = (prices["ticker"] == "EXP") & (
        prices["date"] >= (asof - dt.timedelta(days=40)).isoformat()
    )
    prices.loc[mask_recent_exp, "high"] = (prices.loc[mask_recent_exp, "close"] * 1.05).astype(int)
    prices.loc[mask_recent_exp, "low"]  = (prices.loc[mask_recent_exp, "close"] * 0.95).astype(int)

    flow = make_flow(["CON", "EXP"], days=260, asof=asof)
    out = VcpLite().compute(_ctx(master, prices, flow), VcpLite.default_params)
    assert out["CON"] > out["EXP"]