"""
tests/test_recency_ensemble.py
-------------------------------
Tests for:
  - Recency-weighted frequency_analysis (decay parameter)
  - Ensemble prediction strategy
"""

import pytest
from db.models import get_game_by_name, insert_draw
from core.analyzer import frequency_analysis
from core.predictor import (
    hot_numbers, weighted_random, monte_carlo, ensemble,
)


# ── Helpers ────────────────────────────────────────────────────────────────────

def _insert_draws(game_id, draws):
    """Insert list of (date, numbers, bonus) tuples."""
    for date, nums, bonus in draws:
        insert_draw(game_id, date, nums, bonus=bonus)


# ── frequency_analysis with decay ─────────────────────────────────────────────

def test_decay_zero_matches_no_decay(tmp_db):
    """decay=0.0 must return identical results to the default (no decay)."""
    pb = get_game_by_name("Powerball")
    _insert_draws(pb["id"], [
        ("2024-01-01", [1, 13, 36, 61, 69], 7),
        ("2024-01-03", [1,  2, 13, 45, 69], 15),
        ("2024-01-05", [2, 13, 22, 36, 55], 3),
    ])
    no_decay = frequency_analysis(pb["id"])
    with_zero = frequency_analysis(pb["id"], decay=0.0)
    assert no_decay == with_zero


def test_decay_returns_floats(tmp_db):
    pb = get_game_by_name("Powerball")
    _insert_draws(pb["id"], [
        ("2024-01-01", [1, 13, 36, 61, 69], 7),
        ("2024-01-03", [5, 10, 20, 30, 40], 15),
    ])
    freq = frequency_analysis(pb["id"], decay=0.01)
    assert all(isinstance(v, float) for v in freq.values())


def test_decay_recent_number_ranked_higher(tmp_db):
    """
    A number appearing only in the most recent draw should rank higher than
    a number that appeared only in an older draw when decay is applied.
    """
    pb = get_game_by_name("Powerball")
    # Number 99→use 69 appears only in the oldest draw
    # Number 1 appears only in the newest draw
    _insert_draws(pb["id"], [
        ("2024-01-01", [69, 13, 36, 61, 55], 7),   # oldest — 69 appears here
        ("2024-01-03", [5,  10, 20, 30, 40], 15),
        ("2024-01-05", [5,  10, 20, 30, 40], 3),
        ("2024-01-07", [5,  10, 20, 30, 40], 8),
        ("2024-01-09", [5,  10, 20, 30, 40], 11),
        ("2024-01-11", [1,  13, 22, 45, 50], 4),    # newest — 1 appears here
    ])
    freq = frequency_analysis(pb["id"], decay=0.1)  # high decay for clear separation
    assert freq[1] > freq[69], (
        f"Recent number (1) should outrank older number (69): {freq[1]:.3f} vs {freq[69]:.3f}"
    )


def test_decay_with_last_n(tmp_db):
    """last_n windows the draws before decay is applied."""
    pb = get_game_by_name("Powerball")
    _insert_draws(pb["id"], [
        ("2024-01-01", [1, 13, 36, 61, 69], 7),
        ("2024-01-03", [2,  4, 13, 45, 69], 15),
        ("2024-01-05", [5, 10, 20, 30, 40], 3),
    ])
    freq_all  = frequency_analysis(pb["id"], decay=0.01)
    freq_last = frequency_analysis(pb["id"], last_n=1, decay=0.01)
    # last_n=1 only sees the third draw
    assert set(freq_last.keys()) == {5, 10, 20, 30, 40}
    assert set(freq_all.keys()) == {1, 2, 4, 5, 10, 13, 20, 30, 36, 40, 45, 61, 69}


def test_decay_sum_of_weights_reasonable(tmp_db):
    """
    Total weight with decay should be less than raw count (some weight lost to decay),
    but each number's weight should be positive.
    """
    pb = get_game_by_name("Powerball")
    _insert_draws(pb["id"], [
        ("2024-01-01", [1, 2, 3, 4, 5], 7),
        ("2024-01-02", [1, 2, 3, 4, 5], 7),
        ("2024-01-03", [1, 2, 3, 4, 5], 7),
    ])
    freq = frequency_analysis(pb["id"], decay=0.05)
    # All 5 numbers appeared 3 times each; with decay the total weight < 3 per number
    for n in [1, 2, 3, 4, 5]:
        assert 0 < freq[n] < 3.0


def test_decay_empty_db_returns_empty(tmp_db):
    pb = get_game_by_name("Powerball")
    assert frequency_analysis(pb["id"], decay=0.01) == {}


# ── hot_numbers / weighted_random / monte_carlo with decay ────────────────────

def _pb_with_draws(tmp_db):
    pb = get_game_by_name("Powerball")
    draws = [
        ("2024-01-01", [1,  13, 36, 61, 69], 7),
        ("2024-01-03", [1,   2, 13, 45, 69], 15),
        ("2024-01-05", [2,  13, 22, 36, 55], 3),
        ("2024-01-08", [5,  18, 33, 50, 65], 22),
        ("2024-01-10", [7,  14, 28, 42, 60], 11),
    ]
    _insert_draws(pb["id"], draws)
    return pb


def test_hot_numbers_with_decay_valid(tmp_db):
    pb = _pb_with_draws(tmp_db)
    result = hot_numbers(pb["id"])
    nums = result["numbers"]
    assert len(nums) == pb["main_count"]
    assert nums == sorted(nums)
    assert len(set(nums)) == len(nums)
    assert all(1 <= n <= pb["main_max"] for n in nums)


def test_weighted_random_with_decay_valid(tmp_db):
    pb = _pb_with_draws(tmp_db)
    for _ in range(5):
        result = weighted_random(pb["id"])
        assert len(result["numbers"]) == pb["main_count"]
        assert all(1 <= n <= pb["main_max"] for n in result["numbers"])


def test_monte_carlo_with_decay_valid(tmp_db):
    pb = _pb_with_draws(tmp_db)
    result = monte_carlo(pb["id"], simulations=200)
    assert len(result["numbers"]) == pb["main_count"]
    assert all(1 <= n <= pb["main_max"] for n in result["numbers"])


# ── Ensemble strategy ─────────────────────────────────────────────────────────

def test_ensemble_valid_structure(tmp_db):
    pb = _pb_with_draws(tmp_db)
    result = ensemble(pb["id"])
    nums  = result["numbers"]
    bonus = result["bonus"]
    assert len(nums) == pb["main_count"]
    assert nums == sorted(nums)
    assert len(set(nums)) == len(nums)
    assert all(1 <= n <= pb["main_max"] for n in nums)
    assert bonus is not None
    assert 1 <= bonus <= pb["bonus_max"]


def test_ensemble_empty_db_fallback(tmp_db):
    pb = get_game_by_name("Powerball")
    result = ensemble(pb["id"])
    assert len(result["numbers"]) == pb["main_count"]


def test_ensemble_no_duplicates_across_strategies(tmp_db):
    pb = _pb_with_draws(tmp_db)
    result = ensemble(pb["id"])
    assert len(set(result["numbers"])) == pb["main_count"]


def test_ensemble_with_exclude(tmp_db):
    pb = _pb_with_draws(tmp_db)
    exclude = {1, 2, 3, 4, 5}
    result = ensemble(pb["id"], exclude=exclude)
    assert not any(n in exclude for n in result["numbers"])


def test_ensemble_picks_consensus_number(tmp_db):
    """
    13 appears in 3 of 5 draws in the fixture and should be picked by multiple
    strategies; the ensemble should include it.
    """
    pb = _pb_with_draws(tmp_db)
    # Run several times — consensus picks should be stable
    hits = sum(1 for _ in range(10) if 13 in ensemble(pb["id"])["numbers"])
    assert hits >= 7, f"13 should appear in most ensemble tickets, got {hits}/10"


def test_ensemble_bonus_is_valid(tmp_db):
    pb = _pb_with_draws(tmp_db)
    for _ in range(5):
        result = ensemble(pb["id"])
        assert result["bonus"] is not None
        assert 1 <= result["bonus"] <= pb["bonus_max"]


def test_ensemble_valid_for_no_bonus_game(tmp_db):
    cash5 = get_game_by_name("Cash 5")
    _insert_draws(cash5["id"], [
        ("2024-01-01", [1,  5, 10, 20, 30], None),
        ("2024-01-02", [2,  6, 11, 21, 31], None),
        ("2024-01-03", [3,  7, 12, 22, 32], None),
    ])
    result = ensemble(cash5["id"])
    assert len(result["numbers"]) == cash5["main_count"]
    assert result["bonus"] is None


def test_ensemble_passes_combination_filters(tmp_db):
    """Ensemble should respect combination filters on its output."""
    import random as rng
    from core.filters import _has_consecutive_run
    rng.seed(99)
    pb = get_game_by_name("Powerball")
    for i in range(30):
        nums = sorted(rng.sample(range(1, pb["main_max"] + 1), pb["main_count"]))
        insert_draw(pb["id"], f"2020-{(i//28)+1:02d}-{(i%28)+1:02d}", nums, bonus=rng.randint(1, 26))
    for _ in range(10):
        result = ensemble(pb["id"])
        nums = result["numbers"]
        assert not (len(nums) >= 4 and all(n % 2 == 0 for n in nums)), "all-even"
        assert not (len(nums) >= 4 and all(n % 2 != 0 for n in nums)), "all-odd"
        assert not _has_consecutive_run(nums, 4), "4+ consecutive"