def main():
args = get_args()
product = args['product']
if 'L2' in product:
reader = 'abi_l2_nc'
channel = args['channel']
elif 'L1' in product:
reader = 'abi_l1b'
channel = args["channel"]
assert args['mesoregion'] in [
'', 'M1', 'M2'
], "Mesoregion needs to be None (default), M1 or M2"
res_lat_str, res_lon_str = args["spatialresolution"]
spatial_res = (float(res_lat_str.split('/')[0]) /
float(res_lat_str.split('/')[1]),
float(res_lon_str.split('/')[0]) /
float(res_lon_str.split('/')[1]))
date_str = args["date"]
dates = date_input2dates(date_str)
verbose = args["verbose"]
region = args["region"]
token = args["googletoken"]
setup_logging(verbose)
setup_logging(verbose)
logging.info("Set up logging.")
if args["outputfile"] is not None:
outputfile = args["outputfile"]
else:
config = load_configuration(args["configfile"])
logging.info('Using outputfile and path defined in config')
outputfile = config["DOWNLOAD_GOES16"]["OUTPUT_FILE"]
outputfile = outputfile.replace('{N1}', region[0])
outputfile = outputfile.replace('{N2}', region[1])
outputfile = outputfile.replace('{E1}', region[2])
outputfile = outputfile.replace('{E2}', region[3])
outputfile = outputfile.replace('{channel}', channel)
outputfile = outputfile.replace('{mesoregion}', args["mesoregion"])
output_path = os.path.dirname(outputfile)
if not os.path.isdir(output_path):
logging.info(
f"Directory {output_path} does not exist, needs to be created:")
os.makedirs(output_path)
else:
logging.info(f"Directory {output_path} already exists!")
try:
git_module_version = subprocess.check_output(["git", "describe"
]).strip().decode()
except:
logging.warning("Could not find git hash.", exc_info=True)
git_module_version = "--"
if args['keep_rawdata'] is None:
tmpdir, tmpdir_obj = get_tmp_dir()
else:
pathlib.Path(args['keep_rawdata']).mkdir(parents=True, exist_ok=True)
tmpdir = args['keep_rawdata']
try:
fs = gcsfs.GCSFileSystem(project='gcp-public-data-goes-16/' + product +
'/',
token=token)
except:
logging.error('Connection not successful', exc_info=True)
logging.info(
'Start downloading raw data to temporary directory {}'.format(tmpdir))
if isinstance(dates, datetime.date):
files_2_download = find_remote_files(product, dates, channel, fs,
args["mesoregion"])
elif isinstance(dates, pd.DatetimeIndex):
files_2_download = []
for date in dates:
files_2_download.extend(
find_remote_files(product, date, channel, fs,
args["mesoregion"]))
if args['timesteps'] is not None:
mod_hour, mod_minute = args['timesteps']
files_2_download = filter_filelist(files_2_download, mod_hour,
mod_minute)
local_files = download_remote_files(tmpdir + '/', files_2_download)
logging.info('Start regridding and cropping data')
netcdf_attrs = dict(
title='Geostationary satellite imagery from GOES16 on regular grid',
description='GOES16 satellite data regridded on a regular '
'grid',
converted_by='Hauke Schulz ([email protected])',
institution='Max Planck Institute for Meteorology, Hamburg, Germany',
Conventions='CF-1.7',
python_version="{} (with pyresample version: {}; satpy: {})".format(
sys.version, pyresample.__version__, satpy.__version__),
creation_date=time.asctime(),
created_with=os.path.basename(__file__) +
" with its last modification on " +
time.ctime(os.path.getmtime(os.path.realpath(__file__))),
version=git_module_version)
lat_min, lat_max, lon_min, lon_max = np.array(args['region'],
dtype='float')
if 'L1' in product:
channel = "C{0:0>2}".format(args['channel'])
elif 'L2' in product:
pass
files_local = sorted(local_files)
logging.debug('Local files: {}'.format(files_local))
area_out = define_output_area(lat_min, lon_min, lat_max, lon_max,
spatial_res)
lons, lats = area_out.get_lonlats()
for f_i, f in enumerate(tqdm(files_local)):
logging.info('Loading scene')
input_sat_scene = Scene(reader=reader, filenames=[f])
input_sat_scene.load([channel])
logging.info('Resampling scene')
if check_numpy_compatibility():
output_region_scene = input_sat_scene.resample(area_out,
cache_dir='./')
else:
output_region_scene = input_sat_scene.resample(area_out)
try:
resampled_data = output_region_scene.datasets[channel]
except:
resampled_data = output_region_scene[channel]
logging.warning(
'The version of satpy you are using is depreciated. Please update'
)
logging.info('Write output to netcdf')
write_netcdf(resampled_data, lons, lats, files_2_download[f_i],
channel, outputfile, netcdf_attrs, args["compression"])
input_sat_scene.unload()
output_region_scene.unload()
del input_sat_scene
del output_region_scene
del resampled_data
gc.collect()
if args['keep_rawdata'] is None:
tmpdir_obj.cleanup()
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 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=list(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 (ValueError, KeyError):
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 (ValueError, KeyError):
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 (ValueError, KeyError):
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 (ValueError, KeyError):
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 (ValueError, KeyError):
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
for grid_name in grids:
LOG.info("Remapping to grid %s", grid_name)
try:
gridded_scene = remapper.remap_scene(scene, grid_name, **remap_kwargs)
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 (ValueError, KeyError):
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 (KeyError, ValueError):
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
del data, 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"]] = DataArray(v.get_data_array(), attrs=v)
tmp_scene[v["id"]].attrs["area"] = this_grid_definition.to_satpy_area()
# tmp_scene[v["id"]].info = {}
if v["sensor"] not in tmp_scene.attrs["sensor"]:
tmp_scene.attrs["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.attrs["sensor"])
tmp_scene.compute()
tmp_scene.unload()
# Add any new Datasets to our P2G Scene if SatPy created them
for ds in tmp_scene:
ds_id = DatasetID.from_dict(ds.attrs)
if ds_id.name not in gridded_scene:
LOG.debug("Adding Dataset from SatPy Commpositing: %s", ds_id)
gridded_scene[ds_id.name] = dataarray_to_gridded_product(ds)
gridded_scene[ds_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]
del tmp_scene, v
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 (ValueError, KeyError):
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)
# Force deletion and eventual garbage collection of the scene objects
del gridded_scene
del scene
return status_to_return
