# -*- coding: utf-8 -*-

import pytest

from pandas._libs.tslibs.frequencies import get_freq
from pandas._libs.tslibs.period import period_asfreq, period_ordinal


@pytest.mark.parametrize("freq1,freq2,expected", [
    ("D", "H", 24),
    ("D", "T", 1440),
    ("D", "S", 86400),
    ("D", "L", 86400000),
    ("D", "U", 86400000000),
    ("D", "N", 86400000000000),

    ("H", "T", 60),
    ("H", "S", 3600),
    ("H", "L", 3600000),
    ("H", "U", 3600000000),
    ("H", "N", 3600000000000),

    ("T", "S", 60),
    ("T", "L", 60000),
    ("T", "U", 60000000),
    ("T", "N", 60000000000),

    ("S", "L", 1000),
    ("S", "U", 1000000),
    ("S", "N", 1000000000),

    ("L", "U", 1000),
    ("L", "N", 1000000),

    ("U", "N", 1000)
])
def test_intra_day_conversion_factors(freq1, freq2, expected):
    assert period_asfreq(1, get_freq(freq1),
                         get_freq(freq2), False) == expected


@pytest.mark.parametrize("freq,expected", [
    ("A", 0),
    ("M", 0),
    ("W", 1),
    ("D", 0),
    ("B", 0)
])
def test_period_ordinal_start_values(freq, expected):
    # information for Jan. 1, 1970.
    assert period_ordinal(1970, 1, 1, 0, 0, 0,
                          0, 0, get_freq(freq)) == expected


@pytest.mark.parametrize("dt,expected", [
    ((1970, 1, 4, 0, 0, 0, 0, 0), 1),
    ((1970, 1, 5, 0, 0, 0, 0, 0), 2),
    ((2013, 10, 6, 0, 0, 0, 0, 0), 2284),
    ((2013, 10, 7, 0, 0, 0, 0, 0), 2285)
])
def test_period_ordinal_week(dt, expected):
    args = dt + (get_freq("W"),)
    assert period_ordinal(*args) == expected


@pytest.mark.parametrize("day,expected", [
    # Thursday (Oct. 3, 2013).
    (3, 11415),

    # Friday (Oct. 4, 2013).
    (4, 11416),

    # Saturday (Oct. 5, 2013).
    (5, 11417),

    # Sunday (Oct. 6, 2013).
    (6, 11417),

    # Monday (Oct. 7, 2013).
    (7, 11417),

    # Tuesday (Oct. 8, 2013).
    (8, 11418)
])
def test_period_ordinal_business_day(day, expected):
    args = (2013, 10, day, 0, 0, 0, 0, 0, get_freq("B"))
    assert period_ordinal(*args) == expected