from datetime import datetime, timezone

from app.services.macro.fetchers import (
    _drop_in_progress_daily_klines,
    _latest_closed_daily_point,
    _parse_farside_latest_total,
)


def test_drop_in_progress_daily_klines_removes_today_open_bar():
    now = datetime(2026, 5, 25, 8, 0, tzinfo=timezone.utc)
    rows = [
        [1779494400000, 0, 0, 0, "76715.20"],
        [1779580800000, 0, 0, 0, "77030.30"],
        [1779667200000, 0, 0, 0, "77404.80"],  # 2026-05-25 00:00 UTC, still open
    ]

    filtered = _drop_in_progress_daily_klines(rows, now=now)

    assert [row[0] for row in filtered] == [1779494400000, 1779580800000]


def test_latest_closed_daily_point_skips_today_point():
    now = datetime(2026, 5, 25, 8, 0, tzinfo=timezone.utc)
    rows = [
        {"timestamp": 1779494400000, "sumOpenInterestValue": "1"},
        {"timestamp": 1779580800000, "sumOpenInterestValue": "2"},
        {"timestamp": 1779667200000, "sumOpenInterestValue": "3"},
    ]

    latest = _latest_closed_daily_point(rows, now=now)

    assert latest == rows[1]


def test_parse_farside_latest_total_uses_newest_date_not_first_row():
    html = """
    <table>
      <tbody>
        <tr><td>11 Jan 2024</td><td>0.0</td><td>655.3</td></tr>
        <tr><td>24 May 2026</td><td>0.0</td><td>(12.5)</td></tr>
        <tr><td>25 May 2026</td><td>0.0</td><td>321.0</td></tr>
      </tbody>
    </table>
    """

    parsed = _parse_farside_latest_total(html)

    assert parsed["value"] == 321_000_000.0
    assert parsed["raw"]["date"] == "25 May 2026"