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# File called _pytest for PyCharm compatability

import numpy as np
import pandas as pd
import pytest
from pandas.testing import assert_frame_equal

from tests.common import TestData


class TestSeriesFrameHist(TestData):
    def test_flight_delay_min_hist(self):
        pd_flights = self.pd_flights()
        ed_flights = self.ed_flights()

        num_bins = 10

        # pandas data
        pd_flightdelaymin = np.histogram(pd_flights["FlightDelayMin"], num_bins)

        pd_bins = pd.DataFrame({"FlightDelayMin": pd_flightdelaymin[1]})
        pd_weights = pd.DataFrame({"FlightDelayMin": pd_flightdelaymin[0]})

        ed_bins, ed_weights = ed_flights["FlightDelayMin"]._hist(num_bins=num_bins)

        # Numbers are slightly different
        print(pd_bins, ed_bins)
        assert_frame_equal(pd_bins, ed_bins, check_exact=False)
        assert_frame_equal(pd_weights, ed_weights, check_exact=False)

    def test_filtered_hist(self):
        pd_flights = self.pd_flights()
        ed_flights = self.ed_flights()

        num_bins = 10

        # pandas data
        pd_filteredhist = np.histogram(
            pd_flights[pd_flights.FlightDelay == True].FlightDelayMin, num_bins
        )

        pd_bins = pd.DataFrame({"FlightDelayMin": pd_filteredhist[1]})
        pd_weights = pd.DataFrame({"FlightDelayMin": pd_filteredhist[0]})

        d = ed_flights[ed_flights.FlightDelay == True].FlightDelayMin
        print(d.es_info())

        ed_bins, ed_weights = ed_flights[
            ed_flights.FlightDelay == True
        ].FlightDelayMin._hist(num_bins=num_bins)

        # Numbers are slightly different
        assert_frame_equal(pd_bins, ed_bins, check_exact=False)
        assert_frame_equal(pd_weights, ed_weights, check_exact=False)

    def test_invalid_hist(self):
        with pytest.raises(ValueError):
            assert self.ed_ecommerce()["products.tax_amount"].hist()