Beispiel #1
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 def test_is_fits_image_file_invalid_fits(self, dp_mock):
     with tempfile.TemporaryDirectory() as tmpdir:
         with self.settings(MEDIA_ROOT=tmpdir):
             nonfits_file = os.path.join(tmpdir, 'nonfits.fits')
             with open(nonfits_file, 'w') as f:
                 f.write('hello')
             self.data_product.data = nonfits_file
             self.assertFalse(is_fits_image_file(self.data_product.data))
Beispiel #2
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 def test_is_fits_image_file_binary_table(self, dp_mock):
     with tempfile.TemporaryDirectory() as tmpdir:
         with self.settings(MEDIA_ROOT=tmpdir):
             table_file = os.path.join(tmpdir, 'table.fits')
             t = Table([[1, 2], [4, 5], [7, 8]], names=('a', 'b', 'c'))
             t.write(table_file, format='fits')
             self.data_product.data = table_file
             self.assertFalse(is_fits_image_file(self.data_product.data))
Beispiel #3
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 def test_is_fits_image_file_img(self, dp_mock):
     with tempfile.TemporaryDirectory() as tmpdir:
         with self.settings(MEDIA_ROOT=tmpdir):
             img_file = os.path.join(tmpdir, 'img.blah')  # file name should be irrelevant
             img = fits.PrimaryHDU(np.arange(100))
             img.header['EXTNAME'] = 'SCI'
             hdul = fits.HDUList([img])
             hdul.writeto(img_file)
             self.data_product.data = img_file
             self.assertTrue(is_fits_image_file(self.data_product.data.file))
Beispiel #4
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    def test_is_fits_image_file_table_img(self, dp_mock):
        with tempfile.TemporaryDirectory() as tmpdir:
            with self.settings(MEDIA_ROOT=tmpdir):
                img_file = os.path.join(tmpdir, 'img.blah')  # file name should be irrelevant
                img = fits.PrimaryHDU(np.arange(100))
                img.header['EXTNAME'] = 'SCI'
                hdul = fits.HDUList([img])
                hdul.writeto(img_file)

                tabimg_file = os.path.join(tmpdir, 'both.fits')
                table = fits.BinTableHDU.from_columns([
                    fits.Column(name='col1', format='I', array=np.array([1, 2, 3])),
                    fits.Column(name='col2', format='I', array=np.array([4, 5, 6]))
                ])
                hdul = fits.HDUList([img, table])
                hdul.writeto(tabimg_file)
                self.data_product.data = tabimg_file
                self.assertTrue(is_fits_image_file(self.data_product.data.file))