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from numpy import isnan
import pandas as pd
import pytest
from pvlib.iotools import srml
from ..conftest import (DATA_DIR, RERUNS, RERUNS_DELAY, assert_index_equal,
fail_on_pvlib_version)
srml_testfile = DATA_DIR / 'SRML-day-EUPO1801.txt'
def test_read_srml():
srml.read_srml(srml_testfile)
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_read_srml_remote():
srml.read_srml('http://solardat.uoregon.edu/download/Archive/EUPO1801.txt')
def test_read_srml_columns_exist():
data = srml.read_srml(srml_testfile)
assert 'ghi_0' in data.columns
assert 'ghi_0_flag' in data.columns
assert 'dni_1' in data.columns
assert 'dni_1_flag' in data.columns
assert '7008' in data.columns
assert '7008_flag' in data.columns
def test_read_srml_map_variables_false():
data = srml.read_srml(srml_testfile, map_variables=False)
assert '1000' in data.columns
assert '1000_flag' in data.columns
assert '2010' in data.columns
assert '2010_flag' in data.columns
assert '7008' in data.columns
assert '7008_flag' in data.columns
def test_read_srml_nans_exist():
data = srml.read_srml(srml_testfile)
assert isnan(data['dni_0'][1119])
assert data['dni_0_flag'][1119] == 99
@pytest.mark.parametrize('url,year,month', [
('http://solardat.uoregon.edu/download/Archive/EUPO1801.txt',
2018, 1),
('http://solardat.uoregon.edu/download/Archive/EUPO1612.txt',
2016, 12),
])
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_read_srml_dt_index(url, year, month):
data = srml.read_srml(url)
start = pd.Timestamp(f'{year:04d}{month:02d}01 00:00')
start = start.tz_localize('Etc/GMT+8')
end = pd.Timestamp(f'{year:04d}{month:02d}31 23:59')
end = end.tz_localize('Etc/GMT+8')
assert data.index[0] == start
assert data.index[-1] == end
assert (data.index[59::60].minute == 59).all()
assert str(year) not in data.columns
@pytest.mark.parametrize('column,expected', [
('1001', 'ghi_1'),
('7324', '7324'),
('2001', '2001'),
('2017', 'dni_7')
])
def test_map_columns(column, expected):
assert srml.map_columns(column) == expected
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_get_srml():
url = 'http://solardat.uoregon.edu/download/Archive/EUPO1801.txt'
file_data = srml.read_srml(url)
requested, _ = srml.get_srml(station='EU', start='2018-01-01',
end='2018-01-31')
assert file_data.equals(requested)
@fail_on_pvlib_version('0.11')
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_read_srml_month_from_solardat():
url = 'http://solardat.uoregon.edu/download/Archive/EUPO1801.txt'
file_data = srml.read_srml(url)
requested = srml.read_srml_month_from_solardat('EU', 2018, 1)
assert file_data.equals(requested)
@fail_on_pvlib_version('0.11')
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_15_minute_dt_index():
data = srml.read_srml_month_from_solardat('TW', 2019, 4, 'RQ')
start = pd.Timestamp('20190401 00:00')
start = start.tz_localize('Etc/GMT+8')
end = pd.Timestamp('20190430 23:45')
end = end.tz_localize('Etc/GMT+8')
assert data.index[0] == start
assert data.index[-1] == end
assert (data.index[3::4].minute == 45).all()
@fail_on_pvlib_version('0.11')
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_hourly_dt_index():
data = srml.read_srml_month_from_solardat('CD', 1986, 4, 'PH')
start = pd.Timestamp('19860401 00:00')
start = start.tz_localize('Etc/GMT+8')
end = pd.Timestamp('19860430 23:00')
end = end.tz_localize('Etc/GMT+8')
assert data.index[0] == start
assert data.index[-1] == end
assert (data.index.minute == 0).all()
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_get_srml_hourly():
data, meta = data, meta = srml.get_srml(station='CD', start='1986-04-01',
end='1986-05-31', filetype='PH')
expected_index = pd.date_range(start='1986-04-01', end='1986-05-31 23:59',
freq='1h', tz='Etc/GMT+8')
assert_index_equal(data.index, expected_index)
@pytest.mark.remote_data
@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
def test_get_srml_minute():
data_read = srml.read_srml(srml_testfile)
data_get, meta = srml.get_srml(station='EU', start='2018-01-01',
end='2018-01-31', filetype='PO')
expected_index = pd.date_range(start='2018-01-01', end='2018-01-31 23:59',
freq='1min', tz='Etc/GMT+8')
assert_index_equal(data_get.index, expected_index)
assert all([c in data_get.columns for c in data_read.columns])
# Check that all indices in example file are present in remote file
assert data_read.index.isin(data_get.index).all()
assert meta['station'] == 'EU'
assert meta['filetype'] == 'PO'
assert meta['filenames'] == ['EUPO1801.txt']