""" test the scalar Timestamp """

import calendar
from datetime import datetime, timedelta
import locale
import unicodedata

from dateutil.tz import tzutc
import numpy as np
import pytest
import pytz
from pytz import timezone, utc

from pandas._libs.tslibs.timezones import dateutil_gettz as gettz, get_timezone
from pandas.compat.numpy import np_datetime64_compat
import pandas.util._test_decorators as td

from pandas import NaT, Timedelta, Timestamp
import pandas._testing as tm

from pandas.tseries import offsets


class TestTimestampProperties:
    def test_properties_business(self):
        ts = Timestamp("2017-10-01", freq="B")
        control = Timestamp("2017-10-01")
        assert ts.dayofweek == 6
        assert not ts.is_month_start  # not a weekday
        assert not ts.is_quarter_start  # not a weekday
        # Control case: non-business is month/qtr start
        assert control.is_month_start
        assert control.is_quarter_start

        ts = Timestamp("2017-09-30", freq="B")
        control = Timestamp("2017-09-30")
        assert ts.dayofweek == 5
        assert not ts.is_month_end  # not a weekday
        assert not ts.is_quarter_end  # not a weekday
        # Control case: non-business is month/qtr start
        assert control.is_month_end
        assert control.is_quarter_end

    def test_fields(self):
        def check(value, equal):
            # that we are int like
            assert isinstance(value, int)
            assert value == equal

        # GH 10050
        ts = Timestamp("2015-05-10 09:06:03.000100001")
        check(ts.year, 2015)
        check(ts.month, 5)
        check(ts.day, 10)
        check(ts.hour, 9)
        check(ts.minute, 6)
        check(ts.second, 3)
        msg = "'Timestamp' object has no attribute 'millisecond'"
        with pytest.raises(AttributeError, match=msg):
            ts.millisecond
        check(ts.microsecond, 100)
        check(ts.nanosecond, 1)
        check(ts.dayofweek, 6)
        check(ts.quarter, 2)
        check(ts.dayofyear, 130)
        check(ts.week, 19)
        check(ts.daysinmonth, 31)
        check(ts.daysinmonth, 31)

        # GH 13303
        ts = Timestamp("2014-12-31 23:59:00-05:00", tz="US/Eastern")
        check(ts.year, 2014)
        check(ts.month, 12)
        check(ts.day, 31)
        check(ts.hour, 23)
        check(ts.minute, 59)
        check(ts.second, 0)
        msg = "'Timestamp' object has no attribute 'millisecond'"
        with pytest.raises(AttributeError, match=msg):
            ts.millisecond
        check(ts.microsecond, 0)
        check(ts.nanosecond, 0)
        check(ts.dayofweek, 2)
        check(ts.quarter, 4)
        check(ts.dayofyear, 365)
        check(ts.week, 1)
        check(ts.daysinmonth, 31)

        ts = Timestamp("2014-01-01 00:00:00+01:00")
        starts = ["is_month_start", "is_quarter_start", "is_year_start"]
        for start in starts:
            assert getattr(ts, start)
        ts = Timestamp("2014-12-31 23:59:59+01:00")
        ends = ["is_month_end", "is_year_end", "is_quarter_end"]
        for end in ends:
            assert getattr(ts, end)

    # GH 12806
    @pytest.mark.parametrize(
        "data",
        [Timestamp("2017-08-28 23:00:00"), Timestamp("2017-08-28 23:00:00", tz="EST")],
    )
    @pytest.mark.parametrize(
        "time_locale", [None] if tm.get_locales() is None else [None] + tm.get_locales()
    )
    def test_names(self, data, time_locale):
        # GH 17354
        # Test .day_name(), .month_name
        if time_locale is None:
            expected_day = "Monday"
            expected_month = "August"
        else:
            with tm.set_locale(time_locale, locale.LC_TIME):
                expected_day = calendar.day_name[0].capitalize()
                expected_month = calendar.month_name[8].capitalize()

        result_day = data.day_name(time_locale)
        result_month = data.month_name(time_locale)

        # Work around https://github.com/pandas-dev/pandas/issues/22342
        # different normalizations
        expected_day = unicodedata.normalize("NFD", expected_day)
        expected_month = unicodedata.normalize("NFD", expected_month)

        result_day = unicodedata.normalize("NFD", result_day)
        result_month = unicodedata.normalize("NFD", result_month)

        assert result_day == expected_day
        assert result_month == expected_month

        # Test NaT
        nan_ts = Timestamp(NaT)
        assert np.isnan(nan_ts.day_name(time_locale))
        assert np.isnan(nan_ts.month_name(time_locale))

    def test_is_leap_year(self, tz_naive_fixture):
        tz = tz_naive_fixture
        # GH 13727
        dt = Timestamp("2000-01-01 00:00:00", tz=tz)
        assert dt.is_leap_year
        assert isinstance(dt.is_leap_year, bool)

        dt = Timestamp("1999-01-01 00:00:00", tz=tz)
        assert not dt.is_leap_year

        dt = Timestamp("2004-01-01 00:00:00", tz=tz)
        assert dt.is_leap_year

        dt = Timestamp("2100-01-01 00:00:00", tz=tz)
        assert not dt.is_leap_year

    def test_woy_boundary(self):
        # make sure weeks at year boundaries are correct
        d = datetime(2013, 12, 31)
        result = Timestamp(d).week
        expected = 1  # ISO standard
        assert result == expected

        d = datetime(2008, 12, 28)
        result = Timestamp(d).week
        expected = 52  # ISO standard
        assert result == expected

        d = datetime(2009, 12, 31)
        result = Timestamp(d).week
        expected = 53  # ISO standard
        assert result == expected

        d = datetime(2010, 1, 1)
        result = Timestamp(d).week
        expected = 53  # ISO standard
        assert result == expected

        d = datetime(2010, 1, 3)
        result = Timestamp(d).week
        expected = 53  # ISO standard
        assert result == expected

        result = np.array(
            [
                Timestamp(datetime(*args)).week
                for args in [(2000, 1, 1), (2000, 1, 2), (2005, 1, 1), (2005, 1, 2)]
            ]
        )
        assert (result == [52, 52, 53, 53]).all()

    def test_resolution(self):
        # GH#21336, GH#21365
        dt = Timestamp("2100-01-01 00:00:00")
        assert dt.resolution == Timedelta(nanoseconds=1)

        # Check that the attribute is available on the class, mirroring
        #  the stdlib datetime behavior
        assert Timestamp.resolution == Timedelta(nanoseconds=1)


class TestTimestamp:
    def test_tz(self):
        tstr = "2014-02-01 09:00"
        ts = Timestamp(tstr)
        local = ts.tz_localize("Asia/Tokyo")
        assert local.hour == 9
        assert local == Timestamp(tstr, tz="Asia/Tokyo")
        conv = local.tz_convert("US/Eastern")
        assert conv == Timestamp("2014-01-31 19:00", tz="US/Eastern")
        assert conv.hour == 19

        # preserves nanosecond
        ts = Timestamp(tstr) + offsets.Nano(5)
        local = ts.tz_localize("Asia/Tokyo")
        assert local.hour == 9
        assert local.nanosecond == 5
        conv = local.tz_convert("US/Eastern")
        assert conv.nanosecond == 5
        assert conv.hour == 19

    def test_utc_z_designator(self):
        assert get_timezone(Timestamp("2014-11-02 01:00Z").tzinfo) is utc

    def test_asm8(self):
        np.random.seed(7_960_929)
        ns = [Timestamp.min.value, Timestamp.max.value, 1000]

        for n in ns:
            assert (
                Timestamp(n).asm8.view("i8") == np.datetime64(n, "ns").view("i8") == n
            )

        assert Timestamp("nat").asm8.view("i8") == np.datetime64("nat", "ns").view("i8")

    def test_class_ops_pytz(self):
        def compare(x, y):
            assert int((Timestamp(x).value - Timestamp(y).value) / 1e9) == 0

        compare(Timestamp.now(), datetime.now())
        compare(Timestamp.now("UTC"), datetime.now(timezone("UTC")))
        compare(Timestamp.utcnow(), datetime.utcnow())
        compare(Timestamp.today(), datetime.today())
        current_time = calendar.timegm(datetime.now().utctimetuple())
        compare(
            Timestamp.utcfromtimestamp(current_time),
            datetime.utcfromtimestamp(current_time),
        )
        compare(
            Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
        )

        date_component = datetime.utcnow()
        time_component = (date_component + timedelta(minutes=10)).time()
        compare(
            Timestamp.combine(date_component, time_component),
            datetime.combine(date_component, time_component),
        )

    def test_class_ops_dateutil(self):
        def compare(x, y):
            assert (
                int(
                    np.round(Timestamp(x).value / 1e9)
                    - np.round(Timestamp(y).value / 1e9)
                )
                == 0
            )

        compare(Timestamp.now(), datetime.now())
        compare(Timestamp.now("UTC"), datetime.now(tzutc()))
        compare(Timestamp.utcnow(), datetime.utcnow())
        compare(Timestamp.today(), datetime.today())
        current_time = calendar.timegm(datetime.now().utctimetuple())
        compare(
            Timestamp.utcfromtimestamp(current_time),
            datetime.utcfromtimestamp(current_time),
        )
        compare(
            Timestamp.fromtimestamp(current_time), datetime.fromtimestamp(current_time)
        )

        date_component = datetime.utcnow()
        time_component = (date_component + timedelta(minutes=10)).time()
        compare(
            Timestamp.combine(date_component, time_component),
            datetime.combine(date_component, time_component),
        )

    def test_basics_nanos(self):
        val = np.int64(946_684_800_000_000_000).view("M8[ns]")
        stamp = Timestamp(val.view("i8") + 500)
        assert stamp.year == 2000
        assert stamp.month == 1
        assert stamp.microsecond == 0
        assert stamp.nanosecond == 500

        # GH 14415
        val = np.iinfo(np.int64).min + 80_000_000_000_000
        stamp = Timestamp(val)
        assert stamp.year == 1677
        assert stamp.month == 9
        assert stamp.day == 21
        assert stamp.microsecond == 145224
        assert stamp.nanosecond == 192

    @pytest.mark.parametrize(
        "value, check_kwargs",
        [
            [946688461000000000, {}],
            [946688461000000000 / 1000, dict(unit="us")],
            [946688461000000000 / 1_000_000, dict(unit="ms")],
            [946688461000000000 / 1_000_000_000, dict(unit="s")],
            [10957, dict(unit="D", h=0)],
            [
                (946688461000000000 + 500000) / 1000000000,
                dict(unit="s", us=499, ns=964),
            ],
            [(946688461000000000 + 500000000) / 1000000000, dict(unit="s", us=500000)],
            [(946688461000000000 + 500000) / 1000000, dict(unit="ms", us=500)],
            [(946688461000000000 + 500000) / 1000, dict(unit="us", us=500)],
            [(946688461000000000 + 500000000) / 1000000, dict(unit="ms", us=500000)],
            [946688461000000000 / 1000.0 + 5, dict(unit="us", us=5)],
            [946688461000000000 / 1000.0 + 5000, dict(unit="us", us=5000)],
            [946688461000000000 / 1000000.0 + 0.5, dict(unit="ms", us=500)],
            [946688461000000000 / 1000000.0 + 0.005, dict(unit="ms", us=5, ns=5)],
            [946688461000000000 / 1000000000.0 + 0.5, dict(unit="s", us=500000)],
            [10957 + 0.5, dict(unit="D", h=12)],
        ],
    )
    def test_unit(self, value, check_kwargs):
        def check(value, unit=None, h=1, s=1, us=0, ns=0):
            stamp = Timestamp(value, unit=unit)
            assert stamp.year == 2000
            assert stamp.month == 1
            assert stamp.day == 1
            assert stamp.hour == h
            if unit != "D":
                assert stamp.minute == 1
                assert stamp.second == s
                assert stamp.microsecond == us
            else:
                assert stamp.minute == 0
                assert stamp.second == 0
                assert stamp.microsecond == 0
            assert stamp.nanosecond == ns

        check(value, **check_kwargs)

    def test_roundtrip(self):

        # test value to string and back conversions
        # further test accessors
        base = Timestamp("20140101 00:00:00")

        result = Timestamp(base.value + Timedelta("5ms").value)
        assert result == Timestamp(f"{base}.005000")
        assert result.microsecond == 5000

        result = Timestamp(base.value + Timedelta("5us").value)
        assert result == Timestamp(f"{base}.000005")
        assert result.microsecond == 5

        result = Timestamp(base.value + Timedelta("5ns").value)
        assert result == Timestamp(f"{base}.000000005")
        assert result.nanosecond == 5
        assert result.microsecond == 0

        result = Timestamp(base.value + Timedelta("6ms 5us").value)
        assert result == Timestamp(f"{base}.006005")
        assert result.microsecond == 5 + 6 * 1000

        result = Timestamp(base.value + Timedelta("200ms 5us").value)
        assert result == Timestamp(f"{base}.200005")
        assert result.microsecond == 5 + 200 * 1000

    def test_hash_equivalent(self):
        d = {datetime(2011, 1, 1): 5}
        stamp = Timestamp(datetime(2011, 1, 1))
        assert d[stamp] == 5

    def test_tz_conversion_freq(self, tz_naive_fixture):
        # GH25241
        t1 = Timestamp("2019-01-01 10:00", freq="H")
        assert t1.tz_localize(tz=tz_naive_fixture).freq == t1.freq
        t2 = Timestamp("2019-01-02 12:00", tz="UTC", freq="T")
        assert t2.tz_convert(tz="UTC").freq == t2.freq


class TestTimestampNsOperations:
    def test_nanosecond_string_parsing(self):
        ts = Timestamp("2013-05-01 07:15:45.123456789")
        # GH 7878
        expected_repr = "2013-05-01 07:15:45.123456789"
        expected_value = 1_367_392_545_123_456_789
        assert ts.value == expected_value
        assert expected_repr in repr(ts)

        ts = Timestamp("2013-05-01 07:15:45.123456789+09:00", tz="Asia/Tokyo")
        assert ts.value == expected_value - 9 * 3600 * 1_000_000_000
        assert expected_repr in repr(ts)

        ts = Timestamp("2013-05-01 07:15:45.123456789", tz="UTC")
        assert ts.value == expected_value
        assert expected_repr in repr(ts)

        ts = Timestamp("2013-05-01 07:15:45.123456789", tz="US/Eastern")
        assert ts.value == expected_value + 4 * 3600 * 1_000_000_000
        assert expected_repr in repr(ts)

        # GH 10041
        ts = Timestamp("20130501T071545.123456789")
        assert ts.value == expected_value
        assert expected_repr in repr(ts)

    def test_nanosecond_timestamp(self):
        # GH 7610
        expected = 1_293_840_000_000_000_005
        t = Timestamp("2011-01-01") + offsets.Nano(5)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        t = Timestamp(t)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        t = Timestamp(np_datetime64_compat("2011-01-01 00:00:00.000000005Z"))
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000005')"
        assert t.value == expected
        assert t.nanosecond == 5

        expected = 1_293_840_000_000_000_010
        t = t + offsets.Nano(5)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10

        t = Timestamp(t)
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10

        t = Timestamp(np_datetime64_compat("2011-01-01 00:00:00.000000010Z"))
        assert repr(t) == "Timestamp('2011-01-01 00:00:00.000000010')"
        assert t.value == expected
        assert t.nanosecond == 10


class TestTimestampToJulianDate:
    def test_compare_1700(self):
        r = Timestamp("1700-06-23").to_julian_date()
        assert r == 2_342_145.5

    def test_compare_2000(self):
        r = Timestamp("2000-04-12").to_julian_date()
        assert r == 2_451_646.5

    def test_compare_2100(self):
        r = Timestamp("2100-08-12").to_julian_date()
        assert r == 2_488_292.5

    def test_compare_hour01(self):
        r = Timestamp("2000-08-12T01:00:00").to_julian_date()
        assert r == 2_451_768.5416666666666666

    def test_compare_hour13(self):
        r = Timestamp("2000-08-12T13:00:00").to_julian_date()
        assert r == 2_451_769.0416666666666666


class TestTimestampConversion:
    def test_conversion(self):
        # GH#9255
        ts = Timestamp("2000-01-01")

        result = ts.to_pydatetime()
        expected = datetime(2000, 1, 1)
        assert result == expected
        assert type(result) == type(expected)

        result = ts.to_datetime64()
        expected = np.datetime64(ts.value, "ns")
        assert result == expected
        assert type(result) == type(expected)
        assert result.dtype == expected.dtype

    def test_to_pydatetime_nonzero_nano(self):
        ts = Timestamp("2011-01-01 9:00:00.123456789")

        # Warn the user of data loss (nanoseconds).
        with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
            expected = datetime(2011, 1, 1, 9, 0, 0, 123456)
            result = ts.to_pydatetime()
            assert result == expected

    def test_timestamp_to_datetime(self):
        stamp = Timestamp("20090415", tz="US/Eastern", freq="D")
        dtval = stamp.to_pydatetime()
        assert stamp == dtval
        assert stamp.tzinfo == dtval.tzinfo

    def test_timestamp_to_datetime_dateutil(self):
        stamp = Timestamp("20090415", tz="dateutil/US/Eastern", freq="D")
        dtval = stamp.to_pydatetime()
        assert stamp == dtval
        assert stamp.tzinfo == dtval.tzinfo

    def test_timestamp_to_datetime_explicit_pytz(self):
        stamp = Timestamp("20090415", tz=pytz.timezone("US/Eastern"), freq="D")
        dtval = stamp.to_pydatetime()
        assert stamp == dtval
        assert stamp.tzinfo == dtval.tzinfo

    @td.skip_if_windows_python_3
    def test_timestamp_to_datetime_explicit_dateutil(self):
        stamp = Timestamp("20090415", tz=gettz("US/Eastern"), freq="D")
        dtval = stamp.to_pydatetime()
        assert stamp == dtval
        assert stamp.tzinfo == dtval.tzinfo

    def test_to_datetime_bijective(self):
        # Ensure that converting to datetime and back only loses precision
        # by going from nanoseconds to microseconds.
        exp_warning = None if Timestamp.max.nanosecond == 0 else UserWarning
        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
            assert (
                Timestamp(Timestamp.max.to_pydatetime()).value / 1000
                == Timestamp.max.value / 1000
            )

        exp_warning = None if Timestamp.min.nanosecond == 0 else UserWarning
        with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
            assert (
                Timestamp(Timestamp.min.to_pydatetime()).value / 1000
                == Timestamp.min.value / 1000
            )

    def test_to_period_tz_warning(self):
        # GH#21333 make sure a warning is issued when timezone
        # info is lost
        ts = Timestamp("2009-04-15 16:17:18", tz="US/Eastern")
        with tm.assert_produces_warning(UserWarning):
            # warning that timezone info will be lost
            ts.to_period("D")

    def test_to_numpy_alias(self):
        # GH 24653: alias .to_numpy() for scalars
        ts = Timestamp(datetime.now())
        assert ts.to_datetime64() == ts.to_numpy()


class SubDatetime(datetime):
    pass


@pytest.mark.parametrize(
    "lh,rh",
    [
        (SubDatetime(2000, 1, 1), Timedelta(hours=1)),
        (Timedelta(hours=1), SubDatetime(2000, 1, 1)),
    ],
)
def test_dt_subclass_add_timedelta(lh, rh):
    # GH#25851
    # ensure that subclassed datetime works for
    # Timedelta operations
    result = lh + rh
    expected = SubDatetime(2000, 1, 1, 1)
    assert result == expected
