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# -*- coding: utf-8 -*- |
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# vim:fileencoding=utf-8 |
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# |
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# Copyright (c) 2022 Stefan Bender |
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# |
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# This module is part of pyspaceweather. |
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# pyspaceweather is free software: you can redistribute it or modify |
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# it under the terms of the GNU General Public License as published |
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# by the Free Software Foundation, version 2. |
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# See accompanying COPYING.GPLv2 file or http://www.gnu.org/licenses/gpl-2.0.html. |
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"""OMNI data read tests |
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""" |
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import os |
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import requests |
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from posixpath import join as urljoin |
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import numpy as np |
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import pandas as pd |
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import pytest |
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from spaceweather import cache_omnie, omnie_hourly, omnie_mask_missing, sw_daily |
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from spaceweather.omni import OMNI_URL_BASE, OMNI_PREFIX, OMNI_EXT |
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_TEST_YEAR = 2012 |
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_TEST_FILE = "{0}_{1:04d}.{2}".format(OMNI_PREFIX, _TEST_YEAR, OMNI_EXT) |
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_TEST_URL = urljoin(OMNI_URL_BASE, _TEST_FILE) |
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_TEST_PATH = os.path.join(".", "tests") |
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@pytest.fixture(scope="module") |
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def df_d(): |
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return sw_daily() |
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@pytest.fixture(scope="module") |
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def df_o(): |
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return omnie_hourly(2000, local_path=_TEST_PATH, prefix="omni2t") |
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def test_cache(mocker, tmpdir): |
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mocker.patch("requests.get") |
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tmpdir = str(tmpdir) |
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# Check non-existent file |
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cache_omnie(year=_TEST_YEAR, local_path=tmpdir) |
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requests.get.assert_called_once_with(_TEST_URL, stream=True) |
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# Check non-existent (sub)dir |
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tmppath = os.path.join(tmpdir, "data") |
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cache_omnie(year=_TEST_YEAR, local_path=tmppath) |
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requests.get.assert_called_with(_TEST_URL, stream=True) |
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def test_auto_update(mocker, tmpdir): |
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# test with non-existent file |
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mocker.patch("requests.get") |
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tmpdir = str(tmpdir) |
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with pytest.raises(IOError): |
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with pytest.warns(UserWarning): |
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omnie_hourly(year=_TEST_YEAR, cache=True, local_path=tmpdir) |
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requests.get.assert_called_once_with(_TEST_URL, stream=True) |
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def test_not_avail(mocker, tmpdir): |
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# test with non-existent file |
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tmpdir = str(tmpdir) |
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with pytest.raises(IOError): |
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with pytest.warns(UserWarning): |
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omnie_hourly(year=_TEST_YEAR, cache=False, local_path=tmpdir) |
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@pytest.mark.parametrize("hour", range(0, 24, 3)) |
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@pytest.mark.parametrize("index", ["Ap", "Kp"]) |
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def test_hourly(hour, index, df_d, df_o): |
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df1 = df_o |
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# The last row is for the missing value test. |
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df1 = df1.iloc[:-1] |
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df2 = df_d |
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ind_name = "{0}{1}".format(index, hour) |
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df1_ind = df1[df1["hour"] == hour][index] |
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df2_ind = df2[ind_name].loc[df1_ind.index.date].rename(index) |
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df2_ind.index = df1_ind.index |
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pd.testing.assert_series_equal(df1_ind, df2_ind) |
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View Code Duplication |
@pytest.mark.parametrize( |
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"name, result", |
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[ |
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("Ap", np.array([56, 39, 27, 18, 32, 15, 32, 22])), |
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("Kp", np.array([5.3, 4.7, 4.0, 3.3, 4.3, 3.0, 4.3, 3.7])), |
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] |
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) |
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def test_3hourly_index(name, result, df_o): |
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df = df_o |
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np.testing.assert_allclose( |
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df.loc[ |
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pd.date_range( |
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"2000-01-01 00:00", "2000-01-01 23:00", freq="3h" |
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) |
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][name].values, |
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result, |
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rtol=1e-12, |
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) |
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def test_mask_missing(df_o): |
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df = df_o |
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dfp = omnie_mask_missing(df) |
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# The last row should contain all NaNs. |
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dfp = dfp.iloc[-1] |
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for v in filter( |
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lambda n: n not in ["year", "doy", "hour"], |
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dfp.index, |
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): |
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assert np.isnan(dfp[v]) |
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st-bender /
pyspaceweather
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