import datetime

import pytest

from pqcli import random
from pqcli.config import PRIME_STATS, StatType
from pqcli.game_data import load_game_data
from pqcli.mechanic import Player, Simulation, Stats, level_up_time


def test_level_up_time_matches_upstream() -> None:
    # Math.round((20 + Math.pow(1.15, level)) * 60), pq-web 5cd39f1
    assert level_up_time(1) == 1269
    assert level_up_time(10) == 1443
    assert level_up_time(30) == 5173
    assert level_up_time(100) == 70460007


def make_simulation() -> Simulation:
    data = load_game_data()
    player = Player(
        name="Tester",
        birthday=datetime.datetime(2000, 1, 1),
        race=data.races[0],
        class_=data.classes[0],
        stats=Stats({stat: 10 for stat in StatType}),
    )
    return Simulation(player, data)


def test_quest_length_matches_upstream() -> None:
    # QuestBar.reset(50 + Random(100)), pq-web f7d5e83
    random.seed("quests")
    simulation = make_simulation()
    lengths = set()
    for _ in range(2000):
        simulation.complete_quest()
        lengths.add(simulation.player.quest_book.quest_bar.max_)
    assert min(lengths) == 50
    assert max(lengths) == 149


def test_weighted_stat_gain_skips_hp_and_mp(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    # the "favor the best stat" branch only covers prime stats, pq-web 48c42e6
    monkeypatch.setattr(random, "odds", lambda chance, out_of: False)
    random.seed("stats")
    player = make_simulation().player
    player.stats.increment(StatType.hp_max, 1000)
    for _ in range(500):
        player.win_stat()
    assert player.stats[StatType.hp_max] == 1010
    assert player.stats[StatType.mp_max] == 10
    assert sum(player.stats[stat] for stat in PRIME_STATS) == 60 + 500


def fake_below(monkeypatch: pytest.MonkeyPatch, *values: int) -> None:
    queue = list(values)
    monkeypatch.setattr(random, "below", lambda num: queue.pop(0) % num)


def full_inventory(rows: int) -> Simulation:
    simulation = make_simulation()
    for i in range(rows):
        simulation.player.inventory.add(f"item {i}", 1)
    return simulation


def test_win_item_adds_new_item_below_cap(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    simulation = full_inventory(10)
    random.seed("items")
    simulation.player.win_item(simulation.data)
    assert len(simulation.player.inventory) == 11


def test_win_item_repeats_existing_item_past_cap(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    # Max(250, Random(999)) < rows: add one of a random row, pq-web 3cbd386
    simulation = full_inventory(300)
    inventory = simulation.player.inventory
    fake_below(monkeypatch, 260, 6)  # rows include Gold, so 6 is "item 5"
    simulation.player.win_item(simulation.data)
    assert len(inventory) == 300
    assert inventory[5].quantity == 2


def test_win_item_can_pick_gold_row(monkeypatch: pytest.MonkeyPatch) -> None:
    simulation = full_inventory(300)
    fake_below(monkeypatch, 0, 0)
    simulation.player.win_item(simulation.data)
    assert simulation.player.inventory.gold == 1
    assert len(simulation.player.inventory) == 300


def test_win_item_past_cap_can_still_add_new_item(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    simulation = full_inventory(300)
    random.seed("items")
    fake_below(monkeypatch, 301, 0, 0, 0)
    simulation.player.win_item(simulation.data)
    assert len(simulation.player.inventory) == 301