def test_iter(self):
from satpy import Scene, Dataset
import numpy as np
scene = Scene()
scene["1"] = Dataset(np.arange(5))
scene["2"] = Dataset(np.arange(5))
scene["3"] = Dataset(np.arange(5))
for x in scene:
self.assertIsInstance(x, Dataset)
def test_getitem(self):
"""Test __getitem__ with names only"""
from satpy import Scene, Dataset
import numpy as np
scene = Scene()
scene["1"] = ds1 = Dataset(np.arange(5))
scene["2"] = ds2 = Dataset(np.arange(5))
scene["3"] = ds3 = Dataset(np.arange(5))
self.assertIs(scene['1'], ds1)
self.assertIs(scene['2'], ds2)
self.assertIs(scene['3'], ds3)
self.assertRaises(KeyError, scene.__getitem__, '4')
def test_delitem(self):
from satpy import Scene, Dataset
import numpy as np
scene = Scene()
scene["1"] = ds1 = Dataset(np.arange(5), wavelength=(0.1, 0.2, 0.3))
scene["2"] = ds2 = Dataset(np.arange(5), wavelength=(0.4, 0.5, 0.6))
scene["3"] = ds3 = Dataset(np.arange(5), wavelength=(0.7, 0.8, 0.9))
del scene['1']
del scene['3']
del scene[0.45]
self.assertEquals(len(scene.wishlist), 0)
self.assertEquals(len(scene.datasets.keys()), 0)
self.assertRaises(KeyError, scene.__delitem__, 0.2)
def test_basic_numbered_1_tile(self):
"""Test creating a single numbered tile"""
from satpy.writers.scmi import SCMIWriter
from satpy import Dataset
from pyresample.geometry import AreaDefinition
from pyresample.utils import proj4_str_to_dict
w = SCMIWriter(base_dir=self.base_dir, compress=True)
area_def = AreaDefinition(
'test',
'test',
'test',
proj_dict=proj4_str_to_dict(
'+proj=lcc +datum=WGS84 +ellps=WGS84 +lon_0=-95. +lat_0=25 +lat_1=25 +units=m +no_defs'
),
x_size=100,
y_size=200,
area_extent=(-1000., -1500., 1000., 1500.),
)
now = datetime.utcnow()
ds = Dataset(
np.linspace(0., 1., 20000, dtype=np.float32).reshape((200, 100)),
name='test_ds',
platform='PLAT',
sensor='SENSOR',
units='1',
area=area_def,
start_time=now,
end_time=now + timedelta(minutes=20),
)
fn = w.save_dataset(ds, sector_id='TEST', source_name="TESTS")
self.assertTrue(os.path.isfile(fn))
def test_setitem(self):
from satpy import Scene, Dataset
import numpy as np
scene = Scene()
scene["1"] = ds1 = Dataset(np.arange(5))
self.assertSetEqual(set(scene.datasets.keys()), {ds1.id})
self.assertSetEqual(set(scene.wishlist), {ds1.id})
def test_iter_by_area_swath(self):
from satpy import Scene, Dataset
from pyresample.geometry import SwathDefinition
import numpy as np
scene = Scene()
sd = SwathDefinition(lons=np.arange(5), lats=np.arange(5))
scene["1"] = Dataset(np.arange(5), area=sd)
scene["2"] = Dataset(np.arange(5), area=sd)
scene["3"] = Dataset(np.arange(5))
for area_obj, ds_list in scene.iter_by_area():
ds_list_names = set(ds.name for ds in ds_list)
if area_obj is sd:
self.assertSetEqual(ds_list_names, {'1', '2'})
else:
self.assertIsNone(area_obj)
self.assertSetEqual(ds_list_names, {'3'})
def _se(datasets, optional_datasets=None, ds_id=ds_id, **kwargs):
if ds_id.name == 'comp14':
# used as a test when composites update the dataset id with
# information from prereqs
ds_id = ds_id._replace(resolution=555)
if len(datasets) != len(prereqs):
raise ValueError("Not enough prerequisite datasets passed")
return Dataset(data=np.arange(5), **ds_id.to_dict())
def test_getitem_modifiers(self):
"""Test __getitem__ with names and modifiers"""
from satpy import Scene, Dataset, DatasetID
import numpy as np
# Return least modified item
scene = Scene()
scene['1'] = ds1_m0 = Dataset(np.arange(5))
scene[DatasetID(name='1', modifiers=('mod1',))] = ds1_m1 = Dataset(np.arange(5))
self.assertIs(scene['1'], ds1_m0)
self.assertEquals(len(list(scene.keys())), 2)
scene = Scene()
scene['1'] = ds1_m0 = Dataset(np.arange(5))
scene[DatasetID(name='1', modifiers=('mod1',))] = ds1_m1 = Dataset(np.arange(5))
scene[DatasetID(name='1', modifiers=('mod1', 'mod2'))] = ds1_m2 = Dataset(np.arange(5))
self.assertIs(scene['1'], ds1_m0)
self.assertEquals(len(list(scene.keys())), 3)
scene = Scene()
scene[DatasetID(name='1', modifiers=('mod1', 'mod2'))] = ds1_m2 = Dataset(np.arange(5))
scene[DatasetID(name='1', modifiers=('mod1',))] = ds1_m1 = Dataset(np.arange(5))
self.assertIs(scene['1'], ds1_m1)
self.assertIs(scene[DatasetID('1', modifiers=('mod1', 'mod2'))], ds1_m2)
self.assertRaises(KeyError, scene.__getitem__, DatasetID(name='1', modifiers=tuple()))
self.assertEquals(len(list(scene.keys())), 2)
def test_contains(self):
from satpy import Scene, Dataset
import numpy as np
scene = Scene()
scene["1"] = ds1 = Dataset(np.arange(5), wavelength=(0.1, 0.2, 0.3))
self.assertTrue('1' in scene)
self.assertTrue(0.15 in scene)
self.assertFalse('2' in scene)
self.assertFalse(0.31 in scene)
def test_enhance_with_sensor_no_entry(self):
"""Test enhancing an image that has no configuration sections"""
from satpy.writers import Enhancer, get_enhanced_image
from satpy import Dataset
ds = Dataset(np.arange(1, 11.).reshape((2, 5)), sensor='test_sensor2', mode='L')
e = Enhancer()
self.assertIsNotNone(e.enhancement_tree)
get_enhanced_image(ds, enhancer=e)
self.assertSetEqual(set(e.sensor_enhancement_configs),
{'test_sensor2.yaml', 'enhancements/test_sensor2.yaml'})
def __call__(self, datasets, optional_datasets, **info):
if name == 'res_change' and datasets[0].id.resolution is not None:
i = datasets[0].info.copy()
i['resolution'] *= 5
elif name == 'incomp_areas':
raise IncompatibleAreas("Test modifier 'incomp_areas' always raises IncompatibleAreas")
else:
i = datasets[0].info
info = datasets[0].info.copy()
self.apply_modifier_info(i, info)
return Dataset(data=np.ma.MaskedArray(datasets[0]), **info)
def test_enhance_with_sensor_entry2(self):
"""Test enhancing an image with a more detailed configuration section"""
from satpy.writers import Enhancer, get_enhanced_image
from satpy import Dataset
ds = Dataset(np.arange(1, 11.).reshape((2, 5)),
name='test1', units='kelvin', sensor='test_sensor', mode='L')
e = Enhancer()
self.assertIsNotNone(e.enhancement_tree)
img = get_enhanced_image(ds, enhancer=e)
self.assertSetEqual(set(e.sensor_enhancement_configs),
{'test_sensor.yaml', 'enhancements/test_sensor.yaml'})
np.testing.assert_almost_equal(img.channels[0].max(), 0.5)
def _reader_load(self, dataset_keys):
from satpy import DatasetDict, Dataset
import numpy as np
dataset_ids = self.datasets
loaded_datasets = DatasetDict()
for k in dataset_keys:
if k == 'ds9_fail_load':
continue
for ds in dataset_ids:
if ds == k:
loaded_datasets[ds] = Dataset(data=np.arange(5),
**ds.to_dict())
return loaded_datasets
def test_lettered_tiles_bad_filename(self):
"""Test creating a lettered grid with a bad filename"""
from satpy.writers.scmi import SCMIWriter
from satpy import Dataset
from pyresample.geometry import AreaDefinition
from pyresample.utils import proj4_str_to_dict
w = SCMIWriter(base_dir=self.base_dir,
compress=True,
file_pattern="{Bad Key}.nc")
area_def = AreaDefinition(
'test',
'test',
'test',
proj_dict=proj4_str_to_dict(
'+proj=lcc +datum=WGS84 +ellps=WGS84 +lon_0=-95. +lat_0=25 +lat_1=25 +units=m +no_defs'
),
x_size=1000,
y_size=2000,
area_extent=(-1000000., -1500000., 1000000., 1500000.),
)
now = datetime.utcnow()
ds = Dataset(
np.linspace(0., 1., 2000000, dtype=np.float32).reshape(
(2000, 1000)),
name='test_ds',
platform='PLAT',
sensor='SENSOR',
units='1',
area=area_def,
start_time=now,
end_time=now + timedelta(minutes=20),
)
self.assertRaises(KeyError,
w.save_dataset,
ds,
sector_id='LCC',
source_name="TESTS",
tile_count=(3, 3),
lettered_grid=True)
def test_lettered_tiles_no_fit(self):
"""Test creating a lettered grid with no data"""
from satpy.writers.scmi import SCMIWriter
from satpy import Dataset
from pyresample.geometry import AreaDefinition
from pyresample.utils import proj4_str_to_dict
w = SCMIWriter(base_dir=self.base_dir, compress=True)
area_def = AreaDefinition(
'test',
'test',
'test',
proj_dict=proj4_str_to_dict(
'+proj=lcc +datum=WGS84 +ellps=WGS84 +lon_0=-95. +lat_0=25 +lat_1=25 +units=m +no_defs'
),
x_size=1000,
y_size=2000,
area_extent=(4000000., 5000000., 5000000., 6000000.),
)
now = datetime.utcnow()
ds = Dataset(
np.linspace(0., 1., 2000000, dtype=np.float32).reshape(
(2000, 1000)),
name='test_ds',
platform='PLAT',
sensor='SENSOR',
units='1',
area=area_def,
start_time=now,
end_time=now + timedelta(minutes=20),
)
fn = w.save_dataset(ds,
sector_id='LCC',
source_name="TESTS",
tile_count=(3, 3),
lettered_grid=True)
# `fn` is currently the last file created
# No files created
self.assertIsNone(fn)
def main(argv=sys.argv[1:]):
from polar2grid.core.script_utils import setup_logging, create_basic_parser, create_exc_handler, rename_log_file, ExtendAction
from polar2grid.compositors import CompositorManager
frontends = available_frontends()
backends = available_backends()
parser = create_basic_parser(description="Extract swath data, remap it, and write it to a new file format")
parser.add_argument("frontend", choices=sorted(frontends.keys()),
help="Specify the swath extractor to use to read data (additional arguments are determined after this is specified)")
parser.add_argument("backend", choices=sorted(backends.keys()),
help="Specify the backend to use to write data output (additional arguments are determined after this is specified)")
parser.add_argument("--compositor-configs", nargs="*", default=None,
help="Specify alternative configuration file(s) for compositors")
# don't include the help flag
argv_without_help = [x for x in argv if x not in ["-h", "--help"]]
args, remaining_args = parser.parse_known_args(argv_without_help)
glue_name = args.frontend + "2" + args.backend
LOG = logging.getLogger(glue_name)
# Load compositor information (we can't know the compositor choices until we've loaded the configuration)
compositor_manager = CompositorManager(config_files=args.compositor_configs)
# Hack: argparse doesn't let you use choices and nargs=* on a positional argument
parser.add_argument("compositors", choices=compositor_manager.keys() + [[]], nargs="*",
help="Specify the compositors to apply to the provided scene (additional arguments are determined after this is specified)")
# load the actual components we need
farg_func = get_frontend_argument_func(frontends, args.frontend)
fcls = get_frontend_class(frontends, args.frontend)
barg_func = get_backend_argument_func(backends, args.backend)
bcls = get_backend_class(backends, args.backend)
# add_frontend_arguments(parser)
subgroup_titles = []
subgroup_titles += farg_func(parser)
subgroup_titles += add_remap_argument_groups(parser)
subgroup_titles += barg_func(parser)
parser.add_argument('-f', dest='data_files', nargs="+", default=[], action=ExtendAction,
help="List of files or directories to extract data from")
parser.add_argument('-d', dest='data_files', nargs="+", default=[], action=ExtendAction,
help="Data directories to look for input data files (equivalent to -f)")
global_keywords = ("keep_intermediate", "overwrite_existing", "exit_on_error")
args = parser.parse_args(argv, global_keywords=global_keywords, subgroup_titles=subgroup_titles)
if not args.data_files:
# FUTURE: When the -d flag is removed this won't be needed because -f will be required
parser.print_usage()
parser.exit(1, "ERROR: No data files provided (-f flag)\n")
# Logs are renamed once data the provided start date is known
rename_log = False
if args.log_fn is None:
rename_log = True
args.log_fn = glue_name + "_fail.log"
levels = [logging.ERROR, logging.WARN, logging.INFO, logging.DEBUG]
setup_logging(console_level=levels[min(3, args.verbosity)], log_filename=args.log_fn)
sys.excepthook = create_exc_handler(LOG.name)
LOG.debug("Starting script with arguments: %s", " ".join(sys.argv))
# Keep track of things going wrong to tell the user what went wrong (we want to create as much as possible)
status_to_return = STATUS_SUCCESS
# Compositor validation
# XXX: Hack to make `polar2grid.sh crefl gtiff` work like legacy crefl2gtiff.sh script
if args.subgroup_args['Frontend Swath Extraction'].get('no_compositors'):
LOG.debug("Removing all compositors")
args.compositors = []
elif args.frontend == 'crefl':
if args.backend in ['awips', 'scmi']:
LOG.debug("Adding 'crefl_sharpen' compositor")
args.compositors.append('crefl_sharpen' if args.backend == 'scmi' else 'crefl_sharpen_awips')
else:
LOG.debug("Adding 'true_color' compositor")
args.compositors.append('true_color')
if '--true-color' in sys.argv and 'true_color' not in args.compositors:
LOG.debug("Adding 'true_color' compositor")
args.compositors.append('true_color')
if '--false-color' in sys.argv and 'false_color' not in args.compositors:
LOG.debug("Adding 'false_color' compositor")
args.compositors.append('false_color')
# if "--true-color" in
for c in args.compositors:
if c not in compositor_manager:
LOG.error("Compositor '%s' is unknown" % (c,))
raise RuntimeError("Compositor '%s' is unknown" % (c,))
# Frontend
try:
LOG.info("Initializing reader...")
list_products = args.subgroup_args["Frontend Initialization"].pop("list_products")
f = fcls(search_paths=args.data_files, **args.subgroup_args["Frontend Initialization"])
except StandardError:
LOG.debug("Frontend exception: ", exc_info=True)
LOG.error("%s frontend failed to load and sort data files (see log for details)", args.frontend)
return STATUS_FRONTEND_FAIL
# Rename the log file
if rename_log:
rename_log_file(glue_name + f.begin_time.strftime("_%Y%m%d_%H%M%S.log"))
if list_products:
print("\n".join(sorted(f.available_product_names)))
return STATUS_SUCCESS
try:
LOG.info("Initializing remapping...")
remapper = Remapper(**args.subgroup_args["Remapping Initialization"])
remap_kwargs = args.subgroup_args["Remapping"]
except StandardError:
LOG.debug("Remapping initialization exception: ", exc_info=True)
LOG.error("Remapping initialization failed (see log for details)")
return STATUS_REMAP_FAIL
try:
LOG.info("Initializing backend...")
backend = bcls(**args.subgroup_args["Backend Initialization"])
except StandardError:
LOG.debug("Writer initialization exception: ", exc_info=True)
LOG.error("Writer initialization failed (see log for details)")
return STATUS_BACKEND_FAIL
try:
LOG.info("Initializing compositor objects...")
compositor_objects = {}
for c in args.compositors:
compositor_objects[c] = compositor_manager.get_compositor(c, **args.global_kwargs)
except StandardError:
LOG.debug("Compositor initialization exception: ", exc_info=True)
LOG.error("Compositor initialization failed (see log for details)")
return STATUS_COMP_FAIL
try:
LOG.info("Extracting swaths from data files available...")
scene = f.create_scene(**args.subgroup_args["Frontend Swath Extraction"])
# Determine if we have a satpy scene if we should convert it to
# a P2G Scene to continue processing
resample_method = args.subgroup_args["Remapping"].get("remap_method")
is_satpy_resample_method = resample_method in SATPY_RESAMPLERS
if is_satpy_resample_method and not isinstance(scene, Scene):
raise RuntimeError("Resampling method '{}' only supports 'satpy' readers".format(resample_method))
elif not is_satpy_resample_method and isinstance(scene, Scene):
# convert satpy scene to P2G Scene to be compatible with old P2G resamplers
scene = convert_satpy_to_p2g_swath(f, scene)
if isinstance(scene, Scene):
if not scene.datasets:
LOG.error("No products were returned by the frontend")
raise RuntimeError("No products were returned by the frontend")
if args.keep_intermediate:
raise RuntimeError("satpy readers do not currently support saving intermediate files")
else:
if (isinstance(scene, Scene) and not scene.datasets) or not scene:
LOG.error("No products were returned by the frontend")
raise RuntimeError("No products were returned by the frontend")
if args.keep_intermediate:
filename = glue_name + "_swath_scene.json"
LOG.info("Saving intermediate swath scene as '%s'", filename)
scene.save(filename)
except StandardError:
LOG.debug("Frontend data extraction exception: ", exc_info=True)
LOG.error("Frontend data extraction failed (see log for details)")
return STATUS_FRONTEND_FAIL
# What grids should we remap to (the user should tell us or the backend should have a good set of defaults)
known_grids = backend.known_grids
LOG.debug("Writer known grids: %r", known_grids)
grids = remap_kwargs.pop("forced_grids", None)
LOG.debug("Forced Grids: %r", grids)
if resample_method == "sensor" and grids != ["sensor"]:
LOG.error("'sensor' resampling method only supports the 'sensor' grid")
return STATUS_GDETER_FAIL
if not grids and not known_grids:
# the user didn't ask for any grids and the backend doesn't have specific defaults
LOG.error("No grids specified and no known defaults")
return STATUS_GDETER_FAIL
elif not grids:
# the user didn't tell us what to do, so let's try everything the backend knows how to do
grids = known_grids
elif known_grids is not None:
# the user told us what to do, let's make sure the backend can do it
grids = list(set(grids) & set(known_grids))
if not grids:
LOG.error("%s backend doesn't know how to handle any of the grids specified", args.backend)
return STATUS_GDETER_FAIL
LOG.debug("Grids that will be mapped to: %r", grids)
# Remap
gridded_scenes = {}
for grid_name in grids:
LOG.info("Remapping to grid %s", grid_name)
try:
gridded_scene = remapper.remap_scene(scene, grid_name, **remap_kwargs)
gridded_scenes[grid_name] = gridded_scene
if args.keep_intermediate:
filename = glue_name + "_gridded_scene_" + grid_name + ".json"
LOG.debug("saving intermediate gridded scene as '%s'", filename)
gridded_scene.save(filename)
except StandardError:
LOG.debug("Remapping data exception: ", exc_info=True)
LOG.error("Remapping data failed")
status_to_return |= STATUS_REMAP_FAIL
if args.exit_on_error:
return status_to_return
continue
if not isinstance(scene, Scene):
# Composition
for c, comp in compositor_objects.items():
try:
LOG.info("Running gridded scene through '%s' compositor", c)
gridded_scene = comp.modify_scene(gridded_scene, **args.subgroup_args[c + " Modification"])
if args.keep_intermediate:
filename = glue_name + "_gridded_scene_" + grid_name + ".json"
LOG.debug("Updating saved intermediate gridded scene (%s) after compositor", filename)
gridded_scene.save(filename)
except StandardError:
LOG.debug("Compositor Error: ", exc_info=True)
LOG.error("Could not properly modify scene using compositor '%s'" % (c,))
if args.exit_on_error:
raise RuntimeError("Could not properly modify scene using compositor '%s'" % (c,))
if isinstance(f, ReaderWrapper) and not isinstance(gridded_scene, Scene):
this_grid_definition = None
# HACK: Create SatPy composites that were either separated before
# resampling or needed resampling to be created
rgbs = {}
for product_name in gridded_scene.keys():
rgb_name = product_name[:-6]
# Keep track of one of the grid definitions
if this_grid_definition is None:
this_grid_definition = gridded_scene[product_name]["grid_definition"]
if product_name.endswith("rgb_0") or product_name.endswith("rgb_1") or product_name.endswith("rgb_2"):
if rgb_name not in rgbs:
rgbs[rgb_name] = [None, None, None]
chn_idx = int(product_name[-1])
rgbs[rgb_name][chn_idx] = product_name
LOG.debug("Putting RGBs back together again")
for rgb_name, v in rgbs.items():
r = gridded_scene.pop(v[0])
g = gridded_scene.pop(v[1])
b = gridded_scene.pop(v[2])
new_info = r.copy()
new_info["grid_data"] = new_info["grid_data"].replace(v[0], rgb_name)
new_info["product_name"] = rgb_name
data = np.memmap(new_info["grid_data"], dtype=new_info["data_type"],
mode="w+", shape=(3, new_info["grid_definition"]["height"], new_info["grid_definition"]["width"]))
data[0] = r.get_data_array()[:]
data[1] = g.get_data_array()[:]
data[2] = b.get_data_array()[:]
gridded_scene[rgb_name] = new_info
# Create composites that satpy couldn't complete until after remapping
composite_names = [x for x in f.wishlist if not isinstance(x, DatasetID)]
if composite_names:
tmp_scene = Scene()
for k, v in gridded_scene.items():
if not isinstance(v["sensor"], set):
v["sensor"] = set([v["sensor"]]) # turn sensor back in to a set to match satpy usage
tmp_scene[v["id"]] = Dataset(v.get_data_array(), **v)
tmp_scene[v["id"]].info["area"] = this_grid_definition.to_satpy_area()
# tmp_scene[v["id"]].info = {}
if v["sensor"] not in tmp_scene.info["sensor"]:
tmp_scene.info["sensor"].extend(v["sensor"])
# Overwrite the wishlist that will include the above assigned datasets
tmp_scene.wishlist = f.wishlist
for cname in composite_names:
tmp_scene.compositors[cname] = tmp_scene.cpl.load_compositor(cname, tmp_scene.info["sensor"])
tmp_scene.compute()
tmp_scene.unload()
# Add any new Datasets to our P2G Scene if SatPy created them
for ds in tmp_scene:
if ds.info["id"].name not in gridded_scene:
LOG.debug("Adding Dataset from SatPy Commpositing: %s", ds.info["id"])
gridded_scene[ds.info["id"].name] = dataset_to_gridded_product(ds)
gridded_scene[ds.info["id"].name]["grid_definition"] = this_grid_definition
# Remove any Products from P2G Scene that SatPy decided it didn't need anymore
for k, v in list(gridded_scene.items()):
if v["id"].name not in tmp_scene:
LOG.debug("Removing Dataset that is no longer used: %s", k)
del gridded_scene[k]
if isinstance(gridded_scene, Scene):
LOG.debug("Converting satpy Scene to P2G Gridded Scene")
# Convert it to P2G Gridded Scene
gridded_scene = convert_satpy_to_p2g_gridded(f, gridded_scene)
# Writer
try:
LOG.info("Creating output from data mapped to grid %s", grid_name)
backend.create_output_from_scene(gridded_scene, **args.subgroup_args["Backend Output Creation"])
except StandardError:
LOG.debug("Writer output creation exception: ", exc_info=True)
LOG.error("Writer output creation failed (see log for details)")
status_to_return |= STATUS_BACKEND_FAIL
if args.exit_on_error:
return status_to_return
continue
LOG.info("Processing data for grid %s complete", grid_name)
return status_to_return
def main(argv=sys.argv[1:]):
from polar2grid.core.script_utils import setup_logging, create_basic_parser, create_exc_handler, rename_log_file, ExtendAction
from polar2grid.compositors import CompositorManager
frontends = available_frontends()
backends = available_backends()
parser = create_basic_parser(
description=
"Extract swath data, remap it, and write it to a new file format")
parser.add_argument(
"frontend",
choices=sorted(frontends.keys()),
help=
"Specify the swath extractor to use to read data (additional arguments are determined after this is specified)"
)
parser.add_argument(
"backend",
choices=sorted(backends.keys()),
help=
"Specify the backend to use to write data output (additional arguments are determined after this is specified)"
)
parser.add_argument(
"--compositor-configs",
nargs="*",
default=None,
help="Specify alternative configuration file(s) for compositors")
# don't include the help flag
argv_without_help = [x for x in argv if x not in ["-h", "--help"]]
args, remaining_args = parser.parse_known_args(argv_without_help)
glue_name = args.frontend + "2" + args.backend
LOG = logging.getLogger(glue_name)
# Load compositor information (we can't know the compositor choices until we've loaded the configuration)
compositor_manager = CompositorManager(
config_files=args.compositor_configs)
# Hack: argparse doesn't let you use choices and nargs=* on a positional argument
parser.add_argument(
"compositors",
choices=compositor_manager.keys() + [[]],
nargs="*",
help=
"Specify the compositors to apply to the provided scene (additional arguments are determined after this is specified)"
)
# load the actual components we need
farg_func = get_frontend_argument_func(frontends, args.frontend)
fcls = get_frontend_class(frontends, args.frontend)
barg_func = get_backend_argument_func(backends, args.backend)
bcls = get_backend_class(backends, args.backend)
# add_frontend_arguments(parser)
subgroup_titles = []
subgroup_titles += farg_func(parser)
subgroup_titles += add_remap_argument_groups(parser)
subgroup_titles += barg_func(parser)
parser.add_argument(
'-f',
dest='data_files',
nargs="+",
default=[],
action=ExtendAction,
help="List of files or directories to extract data from")
parser.add_argument(
'-d',
dest='data_files',
nargs="+",
default=[],
action=ExtendAction,
help="Data directories to look for input data files (equivalent to -f)"
)
global_keywords = ("keep_intermediate", "overwrite_existing",
"exit_on_error")
args = parser.parse_args(argv,
global_keywords=global_keywords,
subgroup_titles=subgroup_titles)
if not args.data_files:
# FUTURE: When the -d flag is removed this won't be needed because -f will be required
parser.print_usage()
parser.exit(1, "ERROR: No data files provided (-f flag)\n")
# Logs are renamed once data the provided start date is known
rename_log = False
if args.log_fn is None:
rename_log = True
args.log_fn = glue_name + "_fail.log"
levels = [logging.ERROR, logging.WARN, logging.INFO, logging.DEBUG]
setup_logging(console_level=levels[min(3, args.verbosity)],
log_filename=args.log_fn)
sys.excepthook = create_exc_handler(LOG.name)
LOG.debug("Starting script with arguments: %s", " ".join(sys.argv))
# Keep track of things going wrong to tell the user what went wrong (we want to create as much as possible)
status_to_return = STATUS_SUCCESS
# Compositor validation
# XXX: Hack to make `polar2grid.sh crefl gtiff` work like legacy crefl2gtiff.sh script
if args.subgroup_args['Frontend Swath Extraction'].get('no_compositors'):
LOG.debug("Removing all compositors")
args.compositors = []
elif args.frontend == 'crefl':
if args.backend == 'awips':
LOG.debug("Adding 'crefl_sharpen' compositor")
args.compositors.append('crefl_sharpen')
else:
LOG.debug("Adding 'true_color' compositor")
args.compositors.append('true_color')
if '--true-color' in sys.argv and 'true_color' not in args.compositors:
LOG.debug("Adding 'true_color' compositor")
args.compositors.append('true_color')
if '--false-color' in sys.argv and 'false_color' not in args.compositors:
LOG.debug("Adding 'false_color' compositor")
args.compositors.append('false_color')
# if "--true-color" in
for c in args.compositors:
if c not in compositor_manager:
LOG.error("Compositor '%s' is unknown" % (c, ))
raise RuntimeError("Compositor '%s' is unknown" % (c, ))
# Frontend
try:
LOG.info("Initializing reader...")
list_products = args.subgroup_args["Frontend Initialization"].pop(
"list_products")
f = fcls(search_paths=args.data_files,
**args.subgroup_args["Frontend Initialization"])
except StandardError:
LOG.debug("Frontend exception: ", exc_info=True)
LOG.error(
"%s frontend failed to load and sort data files (see log for details)",
args.frontend)
return STATUS_FRONTEND_FAIL
# Rename the log file
if rename_log:
rename_log_file(glue_name +
f.begin_time.strftime("_%Y%m%d_%H%M%S.log"))
if list_products:
print("\n".join(sorted(f.available_product_names)))
return STATUS_SUCCESS
try:
LOG.info("Initializing remapping...")
remapper = Remapper(**args.subgroup_args["Remapping Initialization"])
remap_kwargs = args.subgroup_args["Remapping"]
except StandardError:
LOG.debug("Remapping initialization exception: ", exc_info=True)
LOG.error("Remapping initialization failed (see log for details)")
return STATUS_REMAP_FAIL
try:
LOG.info("Initializing backend...")
backend = bcls(**args.subgroup_args["Backend Initialization"])
except StandardError:
LOG.debug("Backend initialization exception: ", exc_info=True)
LOG.error("Backend initialization failed (see log for details)")
return STATUS_BACKEND_FAIL
try:
LOG.info("Initializing compositor objects...")
compositor_objects = {}
for c in args.compositors:
compositor_objects[c] = compositor_manager.get_compositor(
c, **args.global_kwargs)
except StandardError:
LOG.debug("Compositor initialization exception: ", exc_info=True)
LOG.error("Compositor initialization failed (see log for details)")
return STATUS_COMP_FAIL
try:
LOG.info("Extracting swaths from data files available...")
scene = f.create_scene(
**args.subgroup_args["Frontend Swath Extraction"])
# Determine if we have a satpy scene if we should convert it to
# a P2G Scene to continue processing
resample_method = args.subgroup_args["Remapping"].get("remap_method")
is_satpy_resample_method = resample_method in SATPY_RESAMPLERS
if is_satpy_resample_method and not isinstance(scene, Scene):
raise RuntimeError(
"Resampling method '{}' only supports 'satpy' readers".format(
resample_method))
elif not is_satpy_resample_method and isinstance(scene, Scene):
# convert satpy scene to P2G Scene to be compatible with old P2G resamplers
scene = convert_satpy_to_p2g_swath(f, scene)
if isinstance(scene, Scene):
if not scene.datasets:
LOG.error("No products were returned by the frontend")
raise RuntimeError("No products were returned by the frontend")
if args.keep_intermediate:
raise RuntimeError(
"satpy readers do not currently support saving intermediate files"
)
else:
if (isinstance(scene, Scene) and not scene.datasets) or not scene:
LOG.error("No products were returned by the frontend")
raise RuntimeError("No products were returned by the frontend")
if args.keep_intermediate:
filename = glue_name + "_swath_scene.json"
LOG.info("Saving intermediate swath scene as '%s'", filename)
scene.save(filename)
except StandardError:
LOG.debug("Frontend data extraction exception: ", exc_info=True)
LOG.error("Frontend data extraction failed (see log for details)")
return STATUS_FRONTEND_FAIL
# What grids should we remap to (the user should tell us or the backend should have a good set of defaults)
known_grids = backend.known_grids
LOG.debug("Backend known grids: %r", known_grids)
grids = remap_kwargs.pop("forced_grids", None)
LOG.debug("Forced Grids: %r", grids)
if resample_method == "sensor" and grids != ["sensor"]:
LOG.error("'sensor' resampling method only supports the 'sensor' grid")
return STATUS_GDETER_FAIL
if not grids and not known_grids:
# the user didn't ask for any grids and the backend doesn't have specific defaults
LOG.error("No grids specified and no known defaults")
return STATUS_GDETER_FAIL
elif not grids:
# the user didn't tell us what to do, so let's try everything the backend knows how to do
grids = known_grids
elif known_grids is not None:
# the user told us what to do, let's make sure the backend can do it
grids = list(set(grids) & set(known_grids))
if not grids:
LOG.error(
"%s backend doesn't know how to handle any of the grids specified",
args.backend)
return STATUS_GDETER_FAIL
LOG.debug("Grids that will be mapped to: %r", grids)
# Remap
gridded_scenes = {}
for grid_name in grids:
LOG.info("Remapping to grid %s", grid_name)
try:
gridded_scene = remapper.remap_scene(scene, grid_name,
**remap_kwargs)
gridded_scenes[grid_name] = gridded_scene
if args.keep_intermediate:
filename = glue_name + "_gridded_scene_" + grid_name + ".json"
LOG.debug("saving intermediate gridded scene as '%s'",
filename)
gridded_scene.save(filename)
except StandardError:
LOG.debug("Remapping data exception: ", exc_info=True)
LOG.error("Remapping data failed")
status_to_return |= STATUS_REMAP_FAIL
if args.exit_on_error:
return status_to_return
continue
if not isinstance(scene, Scene):
# Composition
for c, comp in compositor_objects.items():
try:
LOG.info("Running gridded scene through '%s' compositor",
c)
gridded_scene = comp.modify_scene(
gridded_scene,
**args.subgroup_args[c + " Modification"])
if args.keep_intermediate:
filename = glue_name + "_gridded_scene_" + grid_name + ".json"
LOG.debug(
"Updating saved intermediate gridded scene (%s) after compositor",
filename)
gridded_scene.save(filename)
except StandardError:
LOG.debug("Compositor Error: ", exc_info=True)
LOG.error(
"Could not properly modify scene using compositor '%s'"
% (c, ))
if args.exit_on_error:
raise RuntimeError(
"Could not properly modify scene using compositor '%s'"
% (c, ))
if isinstance(f,
ReaderWrapper) and not isinstance(gridded_scene, Scene):
this_grid_definition = None
# HACK: Create SatPy composites that were either separated before
# resampling or needed resampling to be created
rgbs = {}
for product_name in gridded_scene.keys():
rgb_name = product_name[:-6]
# Keep track of one of the grid definitions
if this_grid_definition is None:
this_grid_definition = gridded_scene[product_name][
"grid_definition"]
if product_name.endswith("rgb_0") or product_name.endswith(
"rgb_1") or product_name.endswith("rgb_2"):
if rgb_name not in rgbs:
rgbs[rgb_name] = [None, None, None]
chn_idx = int(product_name[-1])
rgbs[rgb_name][chn_idx] = product_name
LOG.debug("Putting RGBs back together again")
for rgb_name, v in rgbs.items():
r = gridded_scene.pop(v[0])
g = gridded_scene.pop(v[1])
b = gridded_scene.pop(v[2])
new_info = r.copy()
new_info["grid_data"] = new_info["grid_data"].replace(
v[0], rgb_name)
new_info["product_name"] = rgb_name
data = np.memmap(new_info["grid_data"],
dtype=new_info["data_type"],
mode="w+",
shape=(3,
new_info["grid_definition"]["height"],
new_info["grid_definition"]["width"]))
data[0] = r.get_data_array()[:]
data[1] = g.get_data_array()[:]
data[2] = b.get_data_array()[:]
gridded_scene[rgb_name] = new_info
# Create composites that satpy couldn't complete until after remapping
composite_names = [
x for x in f.wishlist if not isinstance(x, DatasetID)
]
if composite_names:
tmp_scene = Scene()
for k, v in gridded_scene.items():
if not isinstance(v["sensor"], set):
v["sensor"] = set([
v["sensor"]
]) # turn sensor back in to a set to match satpy usage
tmp_scene[v["id"]] = Dataset(v.get_data_array(), **v)
tmp_scene[v["id"]].info[
"area"] = this_grid_definition.to_satpy_area()
# tmp_scene[v["id"]].info = {}
if v["sensor"] not in tmp_scene.info["sensor"]:
tmp_scene.info["sensor"].extend(v["sensor"])
# Overwrite the wishlist that will include the above assigned datasets
tmp_scene.wishlist = f.wishlist
for cname in composite_names:
tmp_scene.compositors[
cname] = tmp_scene.cpl.load_compositor(
cname, tmp_scene.info["sensor"])
tmp_scene.compute()
tmp_scene.unload()
# Add any new Datasets to our P2G Scene if SatPy created them
for ds in tmp_scene:
if ds.info["id"].name not in gridded_scene:
LOG.debug("Adding Dataset from SatPy Commpositing: %s",
ds.info["id"])
gridded_scene[ds.info["id"].
name] = dataset_to_gridded_product(ds)
gridded_scene[ds.info["id"].name][
"grid_definition"] = this_grid_definition
# Remove any Products from P2G Scene that SatPy decided it didn't need anymore
for k, v in list(gridded_scene.items()):
if v["id"].name not in tmp_scene:
LOG.debug(
"Removing Dataset that is no longer used: %s", k)
del gridded_scene[k]
if isinstance(gridded_scene, Scene):
LOG.debug("Converting satpy Scene to P2G Gridded Scene")
# Convert it to P2G Gridded Scene
gridded_scene = convert_satpy_to_p2g_gridded(f, gridded_scene)
# Backend
try:
LOG.info("Creating output from data mapped to grid %s", grid_name)
backend.create_output_from_scene(
gridded_scene, **args.subgroup_args["Backend Output Creation"])
except StandardError:
LOG.debug("Backend output creation exception: ", exc_info=True)
LOG.error("Backend output creation failed (see log for details)")
status_to_return |= STATUS_BACKEND_FAIL
if args.exit_on_error:
return status_to_return
continue
LOG.info("Processing data for grid %s complete", grid_name)
return status_to_return
def se(datasets, optional_datasets=None, **kwargs):
if len(datasets) != len(prereqs):
raise ValueError("Not enough prerequisite datasets passed")
return Dataset(data=np.arange(5), **ds_id.to_dict())
