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# Copyright (c) 2008-2015 MetPy Developers. |
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# Distributed under the terms of the BSD 3-Clause License. |
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# SPDX-License-Identifier: BSD-3-Clause |
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from datetime import datetime |
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import glob |
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import logging |
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import os.path |
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import pytest |
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import numpy as np |
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from metpy.io.nexrad import Level2File, Level3File, is_precip_mode |
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from metpy.cbook import get_test_data |
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# Turn off the warnings for tests |
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logging.getLogger('metpy.io.nexrad').setLevel(logging.CRITICAL) |
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# |
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# NEXRAD Level 2 Tests |
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# |
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# 1999 file tests old message 1 |
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# KFTG tests bzip compression and newer format for a part of message 31 |
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# KTLX 2015 has missing segments for message 18, which was causing exception |
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level2_files = [('KTLX20130520_201643_V06.gz', datetime(2013, 5, 20, 20, 16, 46)), |
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('KTLX19990503_235621.gz', datetime(1999, 5, 3, 23, 56, 21)), |
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('Level2_KFTG_20150430_1419.ar2v', datetime(2015, 4, 30, 14, 19, 11)), |
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('KTLX20150530_000802_V06.bz2', datetime(2015, 5, 30, 0, 8, 3))] |
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# ids here fixes how things are presented in pycharm |
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@pytest.mark.parametrize('fname,voltime', level2_files, |
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ids=[i[0].replace('.', '_') for i in level2_files]) |
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def test_level2(fname, voltime): |
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'Test reading NEXRAD level 2 files from the filename' |
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f = Level2File(get_test_data(fname, as_file_obj=False)) |
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assert f.dt == voltime |
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def test_level2_fobj(): |
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'Test reading NEXRAD level2 data from a file object' |
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Level2File(get_test_data('Level2_KFTG_20150430_1419.ar2v')) |
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# |
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# NIDS/Level 3 Tests |
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# |
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nexrad_nids_files = glob.glob(os.path.join(get_test_data('nids', as_file_obj=False), 'K???_*')) |
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@pytest.mark.parametrize('fname', nexrad_nids_files) |
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def test_level3_files(fname): |
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'Test opening a NEXRAD NIDS file' |
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Level3File(fname) |
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tdwr_nids_files = glob.glob(os.path.join(get_test_data('nids', as_file_obj=False), |
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'Level3_MCI_*')) |
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@pytest.mark.parametrize('fname', tdwr_nids_files) |
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def test_tdwr_nids(fname): |
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'Test opening a TDWR NIDS file' |
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Level3File(fname) |
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def test_basic(): |
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'Basic test of reading one specific NEXRAD NIDS file based on the filename' |
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f = Level3File(get_test_data('nids/Level3_FFC_N0Q_20140407_1805.nids', as_file_obj=False)) |
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assert f.metadata['prod_time'].replace(second=0) == datetime(2014, 4, 7, 18, 5) |
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assert f.metadata['vol_time'].replace(second=0) == datetime(2014, 4, 7, 18, 5) |
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assert f.metadata['msg_time'].replace(second=0) == datetime(2014, 4, 7, 18, 6) |
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def test_tdwr(): |
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'Test reading a specific TDWR file' |
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f = Level3File(get_test_data('nids/Level3_SLC_TV0_20160516_2359.nids')) |
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assert f.prod_desc.prod_code == 182 |
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def test_dhr(): |
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'Test reading a time field for DHR product' |
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f = Level3File(get_test_data('nids/KOUN_SDUS54_DHRTLX_201305202016')) |
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assert f.metadata['avg_time'] == datetime(2013, 5, 20, 20, 18) |
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def test_nwstg(): |
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'Test reading a nids file pulled from the NWSTG' |
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Level3File(get_test_data('nids/sn.last', as_file_obj=False)) |
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def test_fobj(): |
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'Test reading a specific NEXRAD NIDS files from a file object' |
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Level3File(get_test_data('nids/Level3_FFC_N0Q_20140407_1805.nids')) |
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def test21_precip(): |
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'Test checking whether VCP 21 is precipitation mode' |
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assert is_precip_mode(21), 'VCP 21 is precip' |
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def test11_precip(): |
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'Test checking whether VCP 11 is precipitation mode' |
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assert is_precip_mode(11), 'VCP 11 is precip' |
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def test31_clear_air(): |
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'Test checking whether VCP 31 is clear air mode' |
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assert not is_precip_mode(31), 'VCP 31 is not precip' |
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def test_msg15(): |
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'Check proper decoding of message type 15' |
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f = Level2File(get_test_data('KTLX20130520_201643_V06.gz', as_file_obj=False)) |
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data = f.clutter_filter_map['data'] |
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assert isinstance(data[0][0], list) |
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assert f.clutter_filter_map['datetime'] == datetime(2013, 5, 19, 0, 0, 0, 315000) |
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def test_tracks(): |
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'Check that tracks are properly decoded' |
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f = Level3File(get_test_data('nids/KOUN_SDUS34_NSTTLX_201305202016')) |
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for data in f.sym_block[0]: |
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if 'track' in data: |
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x, y = np.array(data['track']).T |
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assert len(x) |
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assert len(y) |
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def test_vector_packet(): |
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'Check that vector packets are properly decoded' |
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f = Level3File(get_test_data('nids/KOUN_SDUS64_NHITLX_201305202016')) |
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for page in f.graph_pages: |
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for item in page: |
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if 'vectors' in item: |
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x1, x2, y1, y2 = np.array(item['vectors']).T |
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assert len(x1) |
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assert len(x2) |
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assert len(y1) |
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assert len(y2) |
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Unidata /
MetPy
