import pandas

import ulmo

import test_util


test_sets = [
    {
        'filename': 'cpc/drought/palmer88',
        'start': '1989-01-22',
        'end': '1989-01-28',
        'state': 'TX',
        'climate_division': 1,
        'values': [{
            'cmi': -0.11,
            'pdsi': 0.0,
            'period': '1989-01-22/1989-01-28',
            'potential_evap': 0.1,
            'precipitation': 0.4,
            'runoff': 0.0,
            'soil_moisture_lower': 0.3,
            'soil_moisture_upper': 0.3,
            'temperature': 43.0
        }],
    },
    {
        'filename': 'cpc/drought/palmer94',
        'start': '1995-02-19',
        'end': '1995-02-25',
        'state': 'NC',
        'climate_division': 4,
        'values': [{
            'cmi': 1.92,
            'pdsi': 0.88,
            'period': '1995-02-19/1995-02-25',
            'potential_evap': 0.17,
            'precipitation': 0.1,
            'runoff': 0.0,
            'soil_moisture_lower': 5.0,
            'soil_moisture_upper': 0.93,
            'temperature': 47.0
        }]
    },
    {
        'filename': 'cpc/drought/palmer99',
        'start': '1999-07-25',
        'end': '1999-07-31',
        'state': 'TX',
        'climate_division': 3,
        'values': [{
            'cmi': -2.31,
            'pdsi': -1.37,
            'period': '1999-07-25/1999-07-31',
            'potential_evap': 1.75,
            'precipitation': 0.0,
            'runoff': 0.0,
            'soil_moisture_lower': 1.68,
            'soil_moisture_upper': 0.0,
            'temperature': 87.0
        }]
    },
    {
        'filename': 'cpc/drought/palmer10',
        'start': '2010-5-20',
        'end': '2010-6-13',
        'state': 'AL',
        'climate_division': 1,
        'values': [{
            'cmi': 0.05,
            'pdsi': 0.53,
            'period': '2010-06-06/2010-06-12',
            'potential_evap': 1.37,
            'precipitation': 0.71,
            'runoff': 0.0,
            'soil_moisture_lower': 4.86,
            'soil_moisture_upper': 0.0,
            'temperature': 77.6
        }]
    },
]


def test_get_data_by_state():
    for test_set in test_sets:
        with test_util.mocked_urls(test_set['filename']):
            data = ulmo.cpc.drought.get_data(
                state=test_set['state'], start=test_set['start'],
                end=test_set['end'])
        assert len(data) == 1
        assert test_set['state'] in data


def test_get_data():
    for test_set in test_sets:
        with test_util.mocked_urls(test_set['filename']):
            data = ulmo.cpc.drought.get_data(start=test_set['start'], end=test_set['end'])

        values = data.get(test_set['state'], {}).get(test_set['climate_division'])
        test_values = test_set['values']

        for test_value in test_values:
            assert test_value in values


def test_get_data_as_dataframe():
    with test_util.mocked_urls('cpc/drought/palmer10'):
        data = ulmo.cpc.drought.get_data(
            start='2010-5-20', end='2010-6-13', as_dataframe=True)

        assert isinstance(data, pandas.DataFrame)


# TODO: add proper marks to these
#def test_prelim_overlap_doesnt_break():
    #data = ulmo.cpc.drought.get_data(start='2012-01-01', end='2013-03-07',
            #as_dataframe=True)
    #assert len(data) > 0


#def test_prelim_overlap_start_end_dates_obeyed():
    #data = ulmo.cpc.drought.get_data(start='2012-01-01', end='2013-03-07',
            #as_dataframe=True)
    #assert data['period'][0] == pandas.Period('2012-01-01/2012-01-07', 'W-SAT')
    #assert data['period'][data.index[-1]] == pandas.Period('2013-03-03/2013-03-09', 'W-SAT')