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import unittest

import numpy as np
import pandas as pd

from pyspark import pandas as ps
from pyspark.testing.pandasutils import ComparisonTestBase
from pyspark.testing.sqlutils import SQLTestUtils


class SeriesCumulativeMixin:
    @property
    def pser(self):
        return pd.Series([1, 2, 3, 4, 5, 6, 7], name="x")

    @property
    def psser(self):
        return ps.from_pandas(self.pser)

    def test_cummin(self):
        pser = pd.Series([1.0, None, 0.0, 4.0, 9.0])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cummin(), psser.cummin())
        self.assert_eq(pser.cummin(skipna=False), psser.cummin(skipna=False))
        self.assert_eq(pser.cummin().sum(), psser.cummin().sum())

        # with reversed index
        pser.index = [4, 3, 2, 1, 0]
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cummin(), psser.cummin())
        self.assert_eq(pser.cummin(skipna=False), psser.cummin(skipna=False))

    def test_cummax(self):
        pser = pd.Series([1.0, None, 0.0, 4.0, 9.0])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cummax(), psser.cummax())
        self.assert_eq(pser.cummax(skipna=False), psser.cummax(skipna=False))
        self.assert_eq(pser.cummax().sum(), psser.cummax().sum())

        # with reversed index
        pser.index = [4, 3, 2, 1, 0]
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cummax(), psser.cummax())
        self.assert_eq(pser.cummax(skipna=False), psser.cummax(skipna=False))

    def test_cumsum(self):
        pser = pd.Series([1.0, None, 0.0, 4.0, 9.0])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumsum(), psser.cumsum())
        self.assert_eq(pser.cumsum(skipna=False), psser.cumsum(skipna=False))
        self.assert_eq(pser.cumsum().sum(), psser.cumsum().sum())

        # with reversed index
        pser.index = [4, 3, 2, 1, 0]
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumsum(), psser.cumsum())
        self.assert_eq(pser.cumsum(skipna=False), psser.cumsum(skipna=False))

        # bool
        pser = pd.Series([True, True, False, True])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumsum().astype(int), psser.cumsum())
        self.assert_eq(pser.cumsum(skipna=False).astype(int), psser.cumsum(skipna=False))

        with self.assertRaisesRegex(TypeError, r"Could not convert object \(string\) to numeric"):
            ps.Series(["a", "b", "c", "d"]).cumsum()

    def test_cumprod(self):
        pser = pd.Series([1.0, None, 1.0, 4.0, 9.0])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False), psser.cumprod(skipna=False))
        self.assert_eq(pser.cumprod().sum(), psser.cumprod().sum())

        # with integer type
        pser = pd.Series([1, 10, 1, 4, 9])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False), psser.cumprod(skipna=False))
        self.assert_eq(pser.cumprod().sum(), psser.cumprod().sum())

        # with reversed index
        pser.index = [4, 3, 2, 1, 0]
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False), psser.cumprod(skipna=False))

        # including zero
        pser = pd.Series([1, 2, 0, 3])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False), psser.cumprod(skipna=False))

        # including negative values
        pser = pd.Series([1, -1, -2])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False), psser.cumprod(skipna=False))

        # bool
        pser = pd.Series([True, True, False, True])
        psser = ps.from_pandas(pser)
        self.assert_eq(pser.cumprod(), psser.cumprod())
        self.assert_eq(pser.cumprod(skipna=False).astype(int), psser.cumprod(skipna=False))

        with self.assertRaisesRegex(TypeError, r"Could not convert object \(string\) to numeric"):
            ps.Series(["a", "b", "c", "d"]).cumprod()


class SeriesCumulativeTests(SeriesCumulativeMixin, ComparisonTestBase, SQLTestUtils):
    pass


if __name__ == "__main__":
    from pyspark.pandas.tests.series.test_cumulative import *  # noqa: F401

    try:
        import xmlrunner

        testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
    except ImportError:
        testRunner = None
    unittest.main(testRunner=testRunner, verbosity=2)