Ejemplo n.º 1
0
 def test_init(self):
     """Test basic init method of writer."""
     from satpy.writers.awips_tiled import AWIPSTiledWriter
     AWIPSTiledWriter(base_dir=self.base_dir)
Ejemplo n.º 2
0
    def test_lettered_tiles_update_existing(self):
        """Test updating lettered tiles with additional data."""
        import shutil

        import dask
        import xarray as xr

        from satpy.writers.awips_tiled import AWIPSTiledWriter
        first_base_dir = os.path.join(self.base_dir, 'first')
        w = AWIPSTiledWriter(base_dir=first_base_dir, compress=True)
        shape = (2000, 1000)
        data = np.linspace(0., 1., shape[0] * shape[1],
                           dtype=np.float32).reshape(shape)
        # pixels to be filled in later
        data[:, -200:] = np.nan
        data = da.from_array(data, chunks=500)
        area_def = self._get_test_area(shape=(2000, 1000),
                                       extents=(-1000000., -1500000., 1000000.,
                                                1500000.))
        ds = self._get_test_lcc_data(data, area_def)
        # tile_count should be ignored since we specified lettered_grid
        w.save_datasets([ds],
                        sector_id='LCC',
                        source_name="TESTS",
                        tile_count=(3, 3),
                        lettered_grid=True)
        all_files = sorted(glob(os.path.join(first_base_dir, 'TESTS_AII*.nc')))
        assert len(all_files) == 16
        first_files = []
        second_base_dir = os.path.join(self.base_dir, 'second')
        os.makedirs(second_base_dir)
        for fn in all_files:
            new_fn = fn.replace(first_base_dir, second_base_dir)
            shutil.copy(fn, new_fn)
            first_files.append(new_fn)

        # Second writing/updating
        # Area is about 100 pixels to the right
        area_def2 = self._get_test_area(shape=(2000, 1000),
                                        extents=(-800000., -1500000., 1200000.,
                                                 1500000.))
        data2 = np.linspace(0., 1., 2000000, dtype=np.float32).reshape(
            (2000, 1000))
        # a gap at the beginning where old values remain
        data2[:, :200] = np.nan
        # a gap at the end where old values remain
        data2[:, -400:-300] = np.nan
        data2 = da.from_array(data2, chunks=500)
        ds2 = self._get_test_lcc_data(data2, area_def2)
        w = AWIPSTiledWriter(base_dir=second_base_dir, compress=True)
        # HACK: The _copy_to_existing function hangs when opening the output
        #   file multiple times...sometimes. If we limit dask to one worker
        #   it seems to work fine.
        with dask.config.set(num_workers=1):
            w.save_datasets([ds2],
                            sector_id='LCC',
                            source_name="TESTS",
                            tile_count=(3, 3),
                            lettered_grid=True)
        all_files = glob(os.path.join(second_base_dir, 'TESTS_AII*.nc'))
        # 16 original tiles + 4 new tiles
        assert len(all_files) == 20

        # these tiles should be the right-most edge of the first image
        first_right_edge_files = [
            x for x in first_files
            if 'P02' in x or 'P04' in x or 'V02' in x or 'V04' in x
        ]
        for new_file in first_right_edge_files:
            orig_file = new_file.replace(second_base_dir, first_base_dir)
            orig_nc = xr.open_dataset(orig_file)
            orig_data = orig_nc['data'].values
            if not np.isnan(orig_data).any():
                # we only care about the tiles that had NaNs originally
                continue

            new_nc = xr.open_dataset(new_file)
            new_data = new_nc['data'].values
            # there should be at least some areas of the file
            # that old data was present and hasn't been replaced
            np.testing.assert_allclose(orig_data[:, :20], new_data[:, :20])
            # it isn't exactly 200 because the tiles aren't aligned with the
            # data (the left-most tile doesn't have data until some columns
            # in), but it should be at least that many columns
            assert np.isnan(orig_data[:, 200:]).all()
            assert not np.isnan(new_data[:, 200:]).all()
Ejemplo n.º 3
0
    def test_multivar_numbered_tiles_glm(self, sector):
        """Test creating a tiles with multiple variables."""
        import xarray as xr
        from satpy.writers.awips_tiled import AWIPSTiledWriter
        from xarray import DataArray
        from pyresample.geometry import AreaDefinition
        from pyresample.utils import proj4_str_to_dict
        w = AWIPSTiledWriter(base_dir=self.base_dir, compress=True)
        area_def = AreaDefinition(
            'test',
            'test',
            'test',
            proj4_str_to_dict(
                '+proj=lcc +datum=WGS84 +ellps=WGS84 +lon_0=-95. '
                '+lat_0=25 +lat_1=25 +units=m +no_defs'),
            100,
            200,
            (-1000., -1500., 1000., 1500.),
        )
        now = datetime(2018, 1, 1, 12, 0, 0)
        end_time = now + timedelta(minutes=20)
        ds1 = DataArray(da.from_array(np.linspace(0.,
                                                  1.,
                                                  20000,
                                                  dtype=np.float32).reshape(
                                                      (200, 100)),
                                      chunks=50),
                        attrs=dict(name='total_energy',
                                   platform_name='GOES-17',
                                   sensor='SENSOR',
                                   units='1',
                                   area=area_def,
                                   start_time=now,
                                   end_time=end_time,
                                   scan_mode='M3',
                                   scene_abbr=sector,
                                   platform_shortname="G17"))
        ds2 = ds1.copy()
        ds2.attrs.update({
            'name': 'flash_extent_density',
        })
        ds3 = ds1.copy()
        ds3.attrs.update({
            'name': 'average_flash_area',
        })
        dqf = ds1.copy()
        dqf = (dqf * 255).astype(np.uint8)
        dqf.attrs = ds1.attrs.copy()
        dqf.attrs.update({
            'name': 'DQF',
            '_FillValue': 1,
        })

        w.save_datasets([ds1, ds2, ds3, dqf],
                        sector_id='TEST',
                        source_name="TESTS",
                        tile_count=(3, 3),
                        template='glm_l2_rad{}'.format(sector.lower()))
        all_files = glob(os.path.join(self.base_dir, '*_GLM*.nc'))
        assert len(all_files) == 9
        for fn in all_files:
            ds = xr.open_dataset(fn, mask_and_scale=False)
            check_required_common_attributes(ds)
            if sector == 'C':
                assert ds.attrs['time_coverage_end'] == end_time.strftime(
                    '%Y-%m-%dT%H:%M:%S.%fZ')
            else:  # 'F'
                assert ds.attrs['time_coverage_end'] == end_time.strftime(
                    '%Y-%m-%dT%H:%M:%SZ')