#!/usr/bin/env python3
"""Regressione visibilità ore nella tabella meteo 48h."""
import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).resolve().parent))

from open_meteo_precip import (
    apply_hourly_daily_precip,
    hourly_table_should_show,
    overlay_icon_precip_on_hourly,
)


def test_first_24h_all_shown():
    for h in range(24):
        assert hourly_table_should_show(h, 0.0, 3) is True


def test_second_day_even_hours_shown():
    assert hourly_table_should_show(24, 0.0, 3) is True   # lun 08
    assert hourly_table_should_show(32, 5.0, 63) is True  # lun 16


def test_second_day_odd_dry_hidden():
    assert hourly_table_should_show(31, 0.0, 3) is False  # lun 15 secco


def test_second_day_odd_wet_shown():
    # Caso reale 17/08/2026: 15:00 = 17.4 mm (code 65) era nascosto → 48h mostrava solo 5 mm alle 16
    assert hourly_table_should_show(31, 17.4, 65) is True
    assert hourly_table_should_show(31, 0.0, 65) is True  # codice precip anche con mm 0


def test_apply_hourly_daily_precip_matches_hours():
    hourly = {
        "time": [f"2026-08-17T{h:02d}:00" for h in range(24)],
        "precipitation": [0.0] * 24,
        "rain": [0.0] * 24,
        "showers": [0.0] * 24,
        "snowfall": [0.0] * 24,
    }
    hourly["rain"][15] = 17.4
    hourly["rain"][16] = 5.0
    hourly["precipitation"][15] = 17.4
    hourly["precipitation"][16] = 5.0
    daily = {
        "time": ["2026-08-17"],
        "precipitation_sum": [18.0],
        "rain_sum": [18.0],
        "showers_sum": [20.0],
        "snowfall_sum": [0.0],
    }
    out = apply_hourly_daily_precip(daily, hourly)
    assert out["precipitation_sum"][0] == 22.4
    assert out["rain_sum"][0] == 22.4
    assert out["showers_sum"][0] == 0.0


def test_overlay_matches_normalized_timestamps():
    target = {
        "time": ["2026-08-17T15:00"],
        "precipitation": [0.0],
        "rain": [0.0],
        "showers": [0.0],
        "snowfall": [0.0],
    }
    icon = {
        "time": ["2026-08-17T15:00:00"],
        "precipitation": [17.4],
        "rain": [17.4],
        "showers": [0.0],
        "snowfall": [0.0],
    }
    out = overlay_icon_precip_on_hourly(target, icon)
    assert abs(out["precipitation"][0] - 17.4) < 0.01


if __name__ == "__main__":
    test_first_24h_all_shown()
    test_second_day_even_hours_shown()
    test_second_day_odd_dry_hidden()
    test_second_day_odd_wet_shown()
    test_apply_hourly_daily_precip_matches_hours()
    test_overlay_matches_normalized_timestamps()
    print("OK hourly_table_should_show")