# pragma pylint: disable=missing-docstring, protected-access, invalid-name
from datetime import datetime, timedelta, timezone

import pytest
from ccxt import (
    DECIMAL_PLACES,
    ROUND,
    ROUND_DOWN,
    ROUND_UP,
    SIGNIFICANT_DIGITS,
    TICK_SIZE,
    TRUNCATE,
)

from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import (
    amount_to_contract_precision,
    amount_to_precision,
    date_minus_candles,
    price_to_precision,
    timeframe_to_minutes,
    timeframe_to_msecs,
    timeframe_to_next_date,
    timeframe_to_prev_date,
    timeframe_to_resample_freq,
    timeframe_to_seconds,
)
from freqtrade.exchange.check_exchange import check_exchange
from tests.conftest import log_has_re


def test_check_exchange(default_conf, caplog) -> None:
    # Test an officially supported by Freqtrade team exchange
    default_conf["runmode"] = RunMode.DRY_RUN
    default_conf.get("exchange").update({"name": "BINANCE"})
    assert check_exchange(default_conf)
    assert log_has_re(
        r"Exchange .* is officially supported by the Freqtrade development team\.", caplog
    )
    caplog.clear()

    # Test an officially supported by Freqtrade team exchange
    default_conf.get("exchange").update({"name": "binance"})
    assert check_exchange(default_conf)
    assert log_has_re(
        r"Exchange \"binance\" is officially supported by the Freqtrade development team\.", caplog
    )
    caplog.clear()

    # Test an officially supported by Freqtrade team exchange
    default_conf.get("exchange").update({"name": "binanceus"})
    assert check_exchange(default_conf)
    assert log_has_re(
        r"Exchange \"binanceus\" is officially supported by the Freqtrade development team\.",
        caplog,
    )
    caplog.clear()

    # Test an officially supported by Freqtrade team exchange - with remapping
    default_conf.get("exchange").update({"name": "okx"})
    assert check_exchange(default_conf)
    assert log_has_re(
        r"Exchange \"okx\" is officially supported by the Freqtrade development team\.", caplog
    )
    caplog.clear()
    # Test an available exchange, supported by ccxt
    default_conf.get("exchange").update({"name": "huobijp"})
    assert check_exchange(default_conf)
    assert log_has_re(
        r"Exchange .* is known to the ccxt library, available for the bot, "
        r"but not officially supported "
        r"by the Freqtrade development team\. .*",
        caplog,
    )
    caplog.clear()

    # Test a 'bad' exchange, which known to have serious problems
    default_conf.get("exchange").update({"name": "bitmex"})
    with pytest.raises(OperationalException, match=r"Exchange .* will not work with Freqtrade\..*"):
        check_exchange(default_conf)
    caplog.clear()

    # Test a 'bad' exchange with check_for_bad=False
    default_conf.get("exchange").update({"name": "bitmex"})
    assert check_exchange(default_conf, False)
    assert log_has_re(
        r"Exchange .* is known to the ccxt library, available for the bot, "
        r"but not officially supported "
        r"by the Freqtrade development team\. .*",
        caplog,
    )
    caplog.clear()

    # Test an invalid exchange
    default_conf.get("exchange").update({"name": "unknown_exchange"})
    with pytest.raises(
        OperationalException,
        match=r'Exchange "unknown_exchange" is not known to the ccxt library '
        r"and therefore not available for the bot.*",
    ):
        check_exchange(default_conf)

    # Test no exchange...
    default_conf.get("exchange").update({"name": ""})
    default_conf["runmode"] = RunMode.PLOT
    assert check_exchange(default_conf)

    # Test no exchange...
    default_conf.get("exchange").update({"name": ""})
    default_conf["runmode"] = RunMode.UTIL_EXCHANGE
    with pytest.raises(
        OperationalException, match=r"This command requires a configured exchange.*"
    ):
        check_exchange(default_conf)


def test_date_minus_candles():
    date = datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)

    assert date_minus_candles("5m", 3, date) == date - timedelta(minutes=15)
    assert date_minus_candles("5m", 5, date) == date - timedelta(minutes=25)
    assert date_minus_candles("1m", 6, date) == date - timedelta(minutes=6)
    assert date_minus_candles("1h", 3, date) == date - timedelta(hours=3, minutes=25)
    assert date_minus_candles("1h", 3) == timeframe_to_prev_date("1h") - timedelta(hours=3)


def test_timeframe_to_minutes():
    assert timeframe_to_minutes("5m") == 5
    assert timeframe_to_minutes("10m") == 10
    assert timeframe_to_minutes("1h") == 60
    assert timeframe_to_minutes("1d") == 1440


def test_timeframe_to_seconds():
    assert timeframe_to_seconds("5m") == 300
    assert timeframe_to_seconds("10m") == 600
    assert timeframe_to_seconds("1h") == 3600
    assert timeframe_to_seconds("1d") == 86400


def test_timeframe_to_msecs():
    assert timeframe_to_msecs("5m") == 300000
    assert timeframe_to_msecs("10m") == 600000
    assert timeframe_to_msecs("1h") == 3600000
    assert timeframe_to_msecs("1d") == 86400000


@pytest.mark.parametrize(
    "timeframe,expected",
    [
        ("1s", "1s"),
        ("15s", "15s"),
        ("5m", "300s"),
        ("10m", "600s"),
        ("1h", "3600s"),
        ("1d", "86400s"),
        ("1w", "1W-MON"),
        ("1M", "1MS"),
        ("1y", "1YS"),
    ],
)
def test_timeframe_to_resample_freq(timeframe, expected):
    assert timeframe_to_resample_freq(timeframe) == expected


def test_timeframe_to_prev_date():
    # 2019-08-12 13:22:08
    date = datetime.fromtimestamp(1565616128, tz=timezone.utc)

    tf_list = [
        # 5m -> 2019-08-12 13:20:00
        ("5m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)),
        # 10m -> 2019-08-12 13:20:00
        ("10m", datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)),
        # 1h -> 2019-08-12 13:00:00
        ("1h", datetime(2019, 8, 12, 13, 00, 0, tzinfo=timezone.utc)),
        # 2h -> 2019-08-12 12:00:00
        ("2h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=timezone.utc)),
        # 4h -> 2019-08-12 12:00:00
        ("4h", datetime(2019, 8, 12, 12, 00, 0, tzinfo=timezone.utc)),
        # 1d -> 2019-08-12 00:00:00
        ("1d", datetime(2019, 8, 12, 00, 00, 0, tzinfo=timezone.utc)),
    ]
    for interval, result in tf_list:
        assert timeframe_to_prev_date(interval, date) == result

    date = datetime.now(tz=timezone.utc)
    assert timeframe_to_prev_date("5m") < date
    # Does not round
    time = datetime(2019, 8, 12, 13, 20, 0, tzinfo=timezone.utc)
    assert timeframe_to_prev_date("5m", time) == time
    time = datetime(2019, 8, 12, 13, 0, 0, tzinfo=timezone.utc)
    assert timeframe_to_prev_date("1h", time) == time


def test_timeframe_to_next_date():
    # 2019-08-12 13:22:08
    date = datetime.fromtimestamp(1565616128, tz=timezone.utc)
    tf_list = [
        # 5m -> 2019-08-12 13:25:00
        ("5m", datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)),
        # 10m -> 2019-08-12 13:30:00
        ("10m", datetime(2019, 8, 12, 13, 30, 0, tzinfo=timezone.utc)),
        # 1h -> 2019-08-12 14:00:00
        ("1h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=timezone.utc)),
        # 2h -> 2019-08-12 14:00:00
        ("2h", datetime(2019, 8, 12, 14, 00, 0, tzinfo=timezone.utc)),
        # 4h -> 2019-08-12 14:00:00
        ("4h", datetime(2019, 8, 12, 16, 00, 0, tzinfo=timezone.utc)),
        # 1d -> 2019-08-13 00:00:00
        ("1d", datetime(2019, 8, 13, 0, 0, 0, tzinfo=timezone.utc)),
    ]

    for interval, result in tf_list:
        assert timeframe_to_next_date(interval, date) == result

    date = datetime.now(tz=timezone.utc)
    assert timeframe_to_next_date("5m") > date

    date = datetime(2019, 8, 12, 13, 30, 0, tzinfo=timezone.utc)
    assert timeframe_to_next_date("5m", date) == date + timedelta(minutes=5)


@pytest.mark.parametrize(
    "amount,precision_mode,precision,expected",
    [
        (2.34559, DECIMAL_PLACES, 4, 2.3455),
        (2.34559, DECIMAL_PLACES, 5, 2.34559),
        (2.34559, DECIMAL_PLACES, 3, 2.345),
        (2.9999, DECIMAL_PLACES, 3, 2.999),
        (2.9909, DECIMAL_PLACES, 3, 2.990),
        (2.9909, DECIMAL_PLACES, 0, 2),
        (29991.5555, DECIMAL_PLACES, 0, 29991),
        (29991.5555, DECIMAL_PLACES, -1, 29990),
        (29991.5555, DECIMAL_PLACES, -2, 29900),
        # Tests for
        (2.34559, SIGNIFICANT_DIGITS, 4, 2.345),
        (2.34559, SIGNIFICANT_DIGITS, 5, 2.3455),
        (2.34559, SIGNIFICANT_DIGITS, 3, 2.34),
        (2.9999, SIGNIFICANT_DIGITS, 3, 2.99),
        (2.9909, SIGNIFICANT_DIGITS, 3, 2.99),
        (0.0000077723, SIGNIFICANT_DIGITS, 5, 0.0000077723),
        (0.0000077723, SIGNIFICANT_DIGITS, 3, 0.00000777),
        (0.0000077723, SIGNIFICANT_DIGITS, 1, 0.000007),
        # Tests for Tick-size
        (2.34559, TICK_SIZE, 0.0001, 2.3455),
        (2.34559, TICK_SIZE, 0.00001, 2.34559),
        (2.34559, TICK_SIZE, 0.001, 2.345),
        (2.9999, TICK_SIZE, 0.001, 2.999),
        (2.9909, TICK_SIZE, 0.001, 2.990),
        (2.9909, TICK_SIZE, 0.005, 2.99),
        (2.9999, TICK_SIZE, 0.005, 2.995),
    ],
)
def test_amount_to_precision(
    amount,
    precision_mode,
    precision,
    expected,
):
    """
    Test rounds down
    """
    # digits counting mode
    # DECIMAL_PLACES = 2
    # SIGNIFICANT_DIGITS = 3
    # TICK_SIZE = 4

    assert amount_to_precision(amount, precision, precision_mode) == expected


@pytest.mark.parametrize(
    "price,precision_mode,precision,expected,rounding_mode",
    [
        # Tests for DECIMAL_PLACES, ROUND_UP
        (2.34559, DECIMAL_PLACES, 4, 2.3456, ROUND_UP),
        (2.34559, DECIMAL_PLACES, 5, 2.34559, ROUND_UP),
        (2.34559, DECIMAL_PLACES, 3, 2.346, ROUND_UP),
        (2.9999, DECIMAL_PLACES, 3, 3.000, ROUND_UP),
        (2.9909, DECIMAL_PLACES, 3, 2.991, ROUND_UP),
        (2.9901, DECIMAL_PLACES, 3, 2.991, ROUND_UP),
        (2.34559, DECIMAL_PLACES, 5, 2.34559, ROUND_DOWN),
        (2.34559, DECIMAL_PLACES, 4, 2.3455, ROUND_DOWN),
        (2.9901, DECIMAL_PLACES, 3, 2.990, ROUND_DOWN),
        (0.00299, DECIMAL_PLACES, 3, 0.002, ROUND_DOWN),
        # Tests for DECIMAL_PLACES, ROUND
        (2.345600000000001, DECIMAL_PLACES, 4, 2.3456, ROUND),
        (2.345551, DECIMAL_PLACES, 4, 2.3456, ROUND),
        (2.49, DECIMAL_PLACES, 0, 2.0, ROUND),
        (2.51, DECIMAL_PLACES, 0, 3.0, ROUND),
        (5.1, DECIMAL_PLACES, -1, 10.0, ROUND),
        (4.9, DECIMAL_PLACES, -1, 0.0, ROUND),
        (0.000007222, SIGNIFICANT_DIGITS, 1, 0.000007, ROUND),
        (0.000007222, SIGNIFICANT_DIGITS, 2, 0.0000072, ROUND),
        (0.000007777, SIGNIFICANT_DIGITS, 2, 0.0000078, ROUND),
        # Tests for TICK_SIZE, ROUND_UP
        (2.34559, TICK_SIZE, 0.0001, 2.3456, ROUND_UP),
        (2.34559, TICK_SIZE, 0.00001, 2.34559, ROUND_UP),
        (2.34559, TICK_SIZE, 0.001, 2.346, ROUND_UP),
        (2.9999, TICK_SIZE, 0.001, 3.000, ROUND_UP),
        (2.9909, TICK_SIZE, 0.001, 2.991, ROUND_UP),
        (2.9909, TICK_SIZE, 0.001, 2.990, ROUND_DOWN),
        (2.9909, TICK_SIZE, 0.005, 2.995, ROUND_UP),
        (2.9973, TICK_SIZE, 0.005, 3.0, ROUND_UP),
        (2.9977, TICK_SIZE, 0.005, 3.0, ROUND_UP),
        (234.43, TICK_SIZE, 0.5, 234.5, ROUND_UP),
        (234.43, TICK_SIZE, 0.5, 234.0, ROUND_DOWN),
        (234.53, TICK_SIZE, 0.5, 235.0, ROUND_UP),
        (234.53, TICK_SIZE, 0.5, 234.5, ROUND_DOWN),
        (0.891534, TICK_SIZE, 0.0001, 0.8916, ROUND_UP),
        (64968.89, TICK_SIZE, 0.01, 64968.89, ROUND_UP),
        (0.000000003483, TICK_SIZE, 1e-12, 0.000000003483, ROUND_UP),
        # Tests for TICK_SIZE, ROUND
        (2.49, TICK_SIZE, 1.0, 2.0, ROUND),
        (2.51, TICK_SIZE, 1.0, 3.0, ROUND),
        (2.000000051, TICK_SIZE, 0.0000001, 2.0000001, ROUND),
        (2.000000049, TICK_SIZE, 0.0000001, 2.0, ROUND),
        (2.9909, TICK_SIZE, 0.005, 2.990, ROUND),
        (2.9973, TICK_SIZE, 0.005, 2.995, ROUND),
        (2.9977, TICK_SIZE, 0.005, 3.0, ROUND),
        (234.24, TICK_SIZE, 0.5, 234.0, ROUND),
        (234.26, TICK_SIZE, 0.5, 234.5, ROUND),
        # Tests for TRUNCATTE
        (2.34559, DECIMAL_PLACES, 4, 2.3455, TRUNCATE),
        (2.34559, DECIMAL_PLACES, 5, 2.34559, TRUNCATE),
        (2.34559, DECIMAL_PLACES, 3, 2.345, TRUNCATE),
        (2.9999, DECIMAL_PLACES, 3, 2.999, TRUNCATE),
        (2.9909, DECIMAL_PLACES, 3, 2.990, TRUNCATE),
        (2.9909, TICK_SIZE, 0.001, 2.990, TRUNCATE),
        (2.9909, TICK_SIZE, 0.01, 2.99, TRUNCATE),
        (2.9909, TICK_SIZE, 0.1, 2.9, TRUNCATE),
        # Tests for Significant
        (2.34559, SIGNIFICANT_DIGITS, 4, 2.345, TRUNCATE),
        (2.34559, SIGNIFICANT_DIGITS, 5, 2.3455, TRUNCATE),
        (2.34559, SIGNIFICANT_DIGITS, 3, 2.34, TRUNCATE),
        (2.9999, SIGNIFICANT_DIGITS, 3, 2.99, TRUNCATE),
        (2.9909, SIGNIFICANT_DIGITS, 2, 2.9, TRUNCATE),
        (0.00000777, SIGNIFICANT_DIGITS, 2, 0.0000077, TRUNCATE),
        (0.00000729, SIGNIFICANT_DIGITS, 2, 0.0000072, TRUNCATE),
        # ROUND
        (722.2, SIGNIFICANT_DIGITS, 1, 700.0, ROUND),
        (790.2, SIGNIFICANT_DIGITS, 1, 800.0, ROUND),
        (722.2, SIGNIFICANT_DIGITS, 2, 720.0, ROUND),
        (722.2, SIGNIFICANT_DIGITS, 1, 800.0, ROUND_UP),
        (722.2, SIGNIFICANT_DIGITS, 2, 730.0, ROUND_UP),
        (777.7, SIGNIFICANT_DIGITS, 2, 780.0, ROUND_UP),
        (777.7, SIGNIFICANT_DIGITS, 3, 778.0, ROUND_UP),
        (722.2, SIGNIFICANT_DIGITS, 1, 700.0, ROUND_DOWN),
        (722.2, SIGNIFICANT_DIGITS, 2, 720.0, ROUND_DOWN),
        (777.7, SIGNIFICANT_DIGITS, 2, 770.0, ROUND_DOWN),
        (777.7, SIGNIFICANT_DIGITS, 3, 777.0, ROUND_DOWN),
        (0.000007222, SIGNIFICANT_DIGITS, 1, 0.000008, ROUND_UP),
        (0.000007222, SIGNIFICANT_DIGITS, 2, 0.0000073, ROUND_UP),
        (0.000007777, SIGNIFICANT_DIGITS, 2, 0.0000078, ROUND_UP),
        (0.000007222, SIGNIFICANT_DIGITS, 1, 0.000007, ROUND_DOWN),
        (0.000007222, SIGNIFICANT_DIGITS, 2, 0.0000072, ROUND_DOWN),
        (0.000007777, SIGNIFICANT_DIGITS, 2, 0.0000077, ROUND_DOWN),
    ],
)
def test_price_to_precision(price, precision_mode, precision, expected, rounding_mode):
    assert (
        price_to_precision(price, precision, precision_mode, rounding_mode=rounding_mode)
        == expected
    )


@pytest.mark.parametrize(
    "amount,precision,precision_mode,contract_size,expected",
    [
        (1.17, 1.0, 4, 0.01, 1.17),  # Tick size
        (1.17, 1.0, 2, 0.01, 1.17),  #
        (1.16, 1.0, 4, 0.01, 1.16),  #
        (1.16, 1.0, 2, 0.01, 1.16),  #
        (1.13, 1.0, 2, 0.01, 1.13),  #
        (10.988, 1.0, 2, 10, 10),
        (10.988, 1.0, 4, 10, 10),
    ],
)
def test_amount_to_contract_precision_standalone(
    amount, precision, precision_mode, contract_size, expected
):
    res = amount_to_contract_precision(amount, precision, precision_mode, contract_size)
    assert pytest.approx(res) == expected