import datetime as dt
import pandas as pd

from app.screener.engine import ScreenContext
from app.screener.nodes.rs_rating import RsRating
from app.screener._test_fixtures import make_master, make_prices, make_flow, make_kospi


def _ctx(master, prices, flow, kospi):
    return ScreenContext(master=master, prices=prices, flow=flow,
                         kospi=kospi, asof=dt.date(2026, 5, 12))


def test_outperformer_gets_higher_score():
    asof = dt.date(2026, 5, 12)
    master = make_master(["UP", "DN"])
    up = make_prices(["UP"], days=260, asof=asof, trend_pct=0.3)
    dn = make_prices(["DN"], days=260, asof=asof, trend_pct=-0.1)
    prices = pd.concat([up, dn], ignore_index=True)
    flow = make_flow(["UP", "DN"], days=260, asof=asof)
    kospi = make_kospi(days=260, asof=asof, trend_pct=0.0)

    out = RsRating().compute(_ctx(master, prices, flow, kospi),
                             RsRating.default_params)
    assert out["UP"] > out["DN"]