from datetime import datetime
import pytest

import lottery_predictor.analyze as analyze


def test_load_dataframe() -> None:
    pb_start = datetime(2015, 10, 4)
    mm_start = datetime(2025, 4, 5)
    date_end = datetime(2026, 3, 8)
    assert int(analyze.load_dataframe(
        table_name='PowerballDraw', start_date=pb_start, end_date=date_end).count()['draw_date']) == 1324
    assert int(analyze.load_dataframe(
        table_name='MegaMillionsDraw', start_date=mm_start, end_date=date_end).count()['draw_date']) == 96
    with pytest.raises(ValueError):
        analyze.load_dataframe(table_name='SomNonExistentTableName')


def test_least_and_most_common_number() -> None:
    pb_start = datetime(2015, 10, 4)
    mm_start = datetime(2025, 4, 5)
    date_end = datetime(2026, 3, 8)

    pb_df = analyze.load_dataframe(
        table_name='PowerballDraw', start_date=pb_start, end_date=date_end)
    mm_df = analyze.load_dataframe(
        table_name='MegaMillionsDraw', start_date=mm_start, end_date=date_end)

    assert analyze.get_most_common_number(pb_df, top=5) == [61, 21, 28, 23, 33]
    assert analyze.get_least_common_number(pb_df, bottom=5) == [13, 49, 46, 26, 34]
    assert analyze.get_most_common_number(mm_df, top=5) == [42, 40, 18, 10, 49]
    assert analyze.get_least_common_number(mm_df, bottom=5) == [35, 51, 3, 1, 20]

    assert analyze.get_most_common_number(pb_df, columns=['powerball'], top=1) == [4]
    assert analyze.get_least_common_number(pb_df, columns=['powerball'], bottom=1) == [16]
    assert analyze.get_most_common_number(mm_df, columns=['mega_ball'], top=1) == [1]
    assert analyze.get_least_common_number(mm_df, columns=['mega_ball'], bottom=1) == [3]


def test_calculate_probabilities() -> None:
    """tests build_binary_matrix, build_next_targets and calculate_number_probability"""
    pb_start = datetime(2015, 10, 4)
    mm_start = datetime(2025, 4, 5)
    date_end = datetime(2026, 3, 8)

    pb_df = analyze.load_dataframe(
        table_name='PowerballDraw', start_date=pb_start, end_date=date_end)
    pb_probabilities = analyze.calculate_probabilities(data_frame=pb_df, max_number=69)

    mm_df = analyze.load_dataframe(
        table_name='MegaMillionsDraw', start_date=mm_start, end_date=date_end)
    mm_probabilities = analyze.calculate_probabilities(data_frame=mm_df, max_number=70)

    assert pb_probabilities[1] == 0.3142857142857143
    assert mm_probabilities[1] == 0.04225352112676056


def test_hot_cold_numbers() -> None:
    """tests get_hot_numbers and get_cold_numbers"""
    pb_start = datetime(2015, 10, 4)
    mm_start = datetime(2025, 4, 5)
    date_end = datetime(2026, 3, 8)

    pb_df = analyze.load_dataframe(
        table_name='PowerballDraw', start_date=pb_start, end_date=date_end)
    pb_probs = analyze.calculate_probabilities(data_frame=pb_df, max_number=69)
    mm_df = analyze.load_dataframe(
        table_name='MegaMillionsDraw', start_date=mm_start, end_date=date_end)
    mm_probs = analyze.calculate_probabilities(data_frame=mm_df, max_number=70)

    assert (analyze.get_hot_numbers(probabilities=pb_probs) ==
            [(13, 1.0), (61, 0.7), (21, 0.6714285714285715), (23, 0.6428571428571428), (28, 0.6428571428571428)])
    assert (analyze.get_cold_numbers(probabilities=pb_probs) ==
            [(49, 0.10000000000000009), (26, 0.11428571428571432), (46, 0.11428571428571432),
             (34, 0.17142857142857149), (65, 0.18571428571428572)])
    assert (analyze.get_hot_numbers(probabilities=mm_probs) ==
            [(42, 0.19718309859154928), (18, 0.18309859154929578), (40, 0.18309859154929578),
             (10, 0.16901408450704225), (49, 0.16901408450704225)])
    assert (analyze.get_cold_numbers(probabilities=mm_probs) ==
            [(35, 0.028169014084507043), (51, 0.028169014084507043), (1, 0.04225352112676056),
             (3, 0.04225352112676056), (20, 0.04225352112676056)])