from datetime import UTC, datetime

from leaderboard_analytics.schemas import QueryFilters
from leaderboard_analytics.services import AnalyticsService


class FakeRepository:
    def overview_timeseries(self, filters: QueryFilters) -> list[dict]:
        return [
            {"period": "2026-01-01", "pv": 2, "uv": 1, "session_count": 1, "event_count": 3},
            {"period": "2026-01-02", "pv": 1, "uv": 1, "session_count": 1, "event_count": 2},
        ]

    def overview_totals(self, filters: QueryFilters) -> dict:
        return {"pv": 3, "uv": 1, "sessions": 1, "events": 5}


def test_overview_uses_full_range_distinct_totals() -> None:
    service = AnalyticsService(FakeRepository())  # type: ignore[arg-type]
    filters = QueryFilters(
        start_time=datetime(2026, 1, 1, tzinfo=UTC),
        end_time=datetime(2026, 1, 2, tzinfo=UTC),
    )

    frame, totals = service.get_overview(filters)

    assert list(frame["period"]) == ["2026-01-01", "2026-01-02"]
    assert totals == {
        "pv": 3,
        "uv": 1,
        "sessions": 1,
        "events": 5,
        "events_per_session": 5.0,
        "sessions_per_visitor": 1.0,
    }