from datetime import datetime, timedelta, timezone

from sqlalchemy import create_engine
from sqlalchemy.orm import Session

from app.database import Base
from app.models import CatchReport, CatchTackleComponent, Fish, ModerationStatus, SourceType, Spot, Waterbody
from app.routers.analytics import tackle_combinations


def test_tackle_recommendation_requires_samples_and_independent_players() -> None:
    now = datetime.now(timezone.utc)
    engine = create_engine("sqlite://")
    Base.metadata.create_all(engine)
    with Session(engine) as db:
        waterbody = Waterbody(slug="lake", name_ru="Озеро", unlock_level=1)
        fish = Fish(slug="pike", name_ru="Щука", trophy_weight_g=10_000)
        spot = Spot(waterbody=waterbody, x=10, y=20)
        db.add_all([waterbody, fish, spot])
        db.flush()
        for index, player in enumerate(("One", "One", "Two")):
            report = CatchReport(
                fish=fish, waterbody=waterbody, spot=spot, weight_g=1000,
                caught_at=now - timedelta(hours=1), reported_at=now - timedelta(hours=1),
                player_name=player, source_type=SourceType.user, source_confidence=80,
                moderation_status=ModerationStatus.approved,
            )
            report.tackle_components.append(CatchTackleComponent(role="lure", position=0, raw_value="Spinner #1"))
            db.add(report)
        db.commit()

        rows = tackle_combinations(db, waterbody="lake", fish="pike", method=None, hours=72, min_samples=3, min_players=2)
        assert len(rows) == 1
        assert (rows[0].status, rows[0].catches, rows[0].unique_players) == ("recommendation", 3, 2)

        rows = tackle_combinations(db, waterbody="lake", fish="pike", method=None, hours=72, min_samples=3, min_players=3)
        assert rows[0].status == "insufficient_data"

    engine.dispose()