def waveunit_fits_directory(tmp_path_factory):
# Create a temporary directory of dummy FITS files
# from the header data. This directory is then used to
# test directory patterns for database
waveunit_dir = tmp_path_factory.mktemp('waveunit')
header_files = [f for f in test_data_filenames()
if f.parents[0].relative_to(f.parents[1]).name == 'waveunit']
for f in header_files:
_ = write_image_file_from_header_file(f, waveunit_dir)
return pathlib.Path(waveunit_dir)
def eit_fits_directory(tmp_path_factory):
# Create a temporary directory of dummy EIT FITS files
# from the header data. This directory is then used to
# test directory and glob patterns for the map factory
eit_dir = tmp_path_factory.mktemp('EIT')
eit_header_files = [f for f in test_data_filenames()
if f.parents[0].relative_to(f.parents[1]).name == 'EIT_header'
and f.suffix == '.header']
for f in eit_header_files:
_ = write_image_file_from_header_file(f, eit_dir)
return pathlib.Path(eit_dir)
def test_fitsheader():
"""Test that all test data can be converted back to a FITS header."""
extensions = ('.fts', '.fits')
for ext in extensions:
test_files = [f for f in test_data_filenames() if f.suffix == ext]
for ffile in test_files:
fits_file = fits.open(ffile)
fits_file.verify("fix")
meta_header = MetaDict(OrderedDict(fits_file[0].header))
_fits.header_to_fits(meta_header)
fits_file.close()
eve_filepath = get_test_filepath('EVE_L0CS_DIODES_1m_truncated.txt')
esp_filepath = get_test_filepath('eve_l1_esp_2011046_00_truncated.fits')
fermi_gbm_filepath = get_test_filepath('gbm.fits')
norh_filepath = get_test_filepath('tca110810_truncated')
lyra_filepath = get_test_filepath(
'lyra_20150101-000000_lev3_std_truncated.fits.gz')
rhessi_filepath = get_test_filepath(
'hsi_obssumm_20120601_018_truncated.fits.gz')
noaa_ind_json_filepath = get_test_filepath(
'observed-solar-cycle-indices-truncated.json')
noaa_pre_json_filepath = get_test_filepath(
'predicted-solar-cycle-truncated.json')
goes_filepath = get_test_filepath('go1520120601.fits.gz')
a_list_of_many = [
f for f in test_data_filenames()
if f.parents[0].relative_to(f.parents[1]).name == 'eve'
]
@pytest.fixture
def eve_test_ts():
with pytest.warns(SunpyUserWarning, match='Unknown units'):
return sunpy.timeseries.TimeSeries(eve_filepath, source='EVE')
@pytest.fixture
def esp_test_ts():
return sunpy.timeseries.TimeSeries(esp_filepath, source='ESP')
"""
Test cases for SOHO EITMap subclass
"""
import pytest
import astropy.units as u
from sunpy.data.test import get_dummy_map_from_header, test_data_filenames
from sunpy.map.sources.soho import EITMap
header_list = [f for f in test_data_filenames() if 'efz' in f.name and '.header' in f.name]
__author__ = "Pritish C. (VaticanCameos)"
@pytest.fixture(scope="module", params=header_list)
def eit_map(request):
"""Creates an EITMap from a FITS file."""
return get_dummy_map_from_header(request.param)
def test_fitstoEIT(eit_map):
"""Tests the creation of EITMap using FITS."""
assert isinstance(eit_map, EITMap)
def test_is_datasource_for(eit_map):
"""Test the is_datasource_for method of EITMap.
Note that header data to be provided as an argument
can be a MetaDict object."""
assert eit_map.is_datasource_for(eit_map.data, eit_map.meta)
import pathlib
import tempfile
import numpy as np
import pytest
from astropy.io import fits
from astropy.wcs import WCS
import sunpy
import sunpy.map
from sunpy.data.test import get_dummy_map_from_header, get_test_filepath, rootdir, test_data_filenames
from sunpy.tests.helpers import skip_glymur
from sunpy.util.exceptions import NoMapsInFileError, SunpyMetadataWarning, SunpyUserWarning
a_list_of_many = [f for f in test_data_filenames() if 'efz' in f.name]
AIA_171_IMAGE = get_test_filepath('aia_171_level1.fits')
RHESSI_IMAGE = get_test_filepath('hsi_image_20101016_191218.fits')
AIA_193_JP2 = get_test_filepath("2013_06_24__17_31_30_84__SDO_AIA_AIA_193.jp2")
AIA_MAP = sunpy.map.Map(AIA_171_IMAGE)
VALID_MAP_INPUTS = [
(AIA_171_IMAGE, ),
(pathlib.Path(AIA_171_IMAGE), ),
(rootdir / "EIT", ),
(os.fspath(rootdir / "EIT"), ),
(rootdir / "EIT" / "*.fits", ),
(AIA_MAP, ),
(AIA_MAP.data, AIA_MAP.meta),
((AIA_MAP.data, AIA_MAP.meta), ),
]
from sunpy.util.metadata import MetaDict
# =============================================================================
# TimeSeries Tests
# =============================================================================
eve_filepath = get_test_filepath('EVE_L0CS_DIODES_1m_truncated.txt')
esp_filepath = get_test_filepath('eve_l1_esp_2011046_00_truncated.fits')
fermi_gbm_filepath = get_test_filepath('gbm.fits')
norh_filepath = get_test_filepath('tca110810_truncated')
lyra_filepath = get_test_filepath('lyra_20150101-000000_lev3_std_truncated.fits.gz')
rhessi_filepath = get_test_filepath('hsi_obssumm_20120601_018_truncated.fits.gz')
noaa_ind_json_filepath = get_test_filepath('observed-solar-cycle-indices-truncated.json')
noaa_pre_json_filepath = get_test_filepath('predicted-solar-cycle-truncated.json')
goes_filepath = get_test_filepath('go1520120601.fits.gz')
a_list_of_many = [f for f in test_data_filenames() if f.parents[0].relative_to(f.parents[1]).name == 'eve']
@pytest.fixture
def eve_test_ts():
with pytest.warns(SunpyUserWarning, match='Unknown units'):
return sunpy.timeseries.TimeSeries(eve_filepath, source='EVE')
@pytest.fixture
def esp_test_ts():
return sunpy.timeseries.TimeSeries(esp_filepath, source='ESP')
@pytest.fixture
def fermi_gbm_test_ts():