Esempio n. 1
0
File: gen.py Progetto: dzelge/xcube
def _format_info():
    # noinspection PyUnresolvedReferences
    input_processors = get_obj_registry().get_all(type=InputProcessor)
    output_writers = query_dataset_io(lambda ds_io: 'w' in ds_io.modes)

    help_text = '\ninput processors to be used with option --proc:\n'
    help_text += _format_input_processors(input_processors)
    help_text += '\nFor more input processors use existing "xcube-gen-..." plugins ' \
                 "from the xcube's GitHub organisation or write your own plugin.\n"
    help_text += '\n'
    help_text += '\noutput formats to be used with option --format:\n'
    help_text += _format_dataset_ios(output_writers)
    help_text += '\n'

    return help_text
Esempio n. 2
0
def _format_info():
    from xcube.api.gen.iproc import InputProcessor
    from xcube.util.dsio import query_dataset_io
    from xcube.util.objreg import get_obj_registry

    input_processors = get_obj_registry().get_all(type=InputProcessor)
    output_writers = query_dataset_io(lambda ds_io: 'w' in ds_io.modes)

    help_text = '\ninput processors to be used with option --proc:\n'
    help_text += _format_input_processors(input_processors)
    help_text += '\nFor more input processors use existing "xcube-gen-..." plugins ' \
                 "from the xcube's GitHub organisation or write your own plugin.\n"
    help_text += '\n'
    help_text += '\noutput formats to be used with option --format:\n'
    help_text += _format_dataset_ios(output_writers)
    help_text += '\n'

    return help_text
Esempio n. 3
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 def test_query_dataset_io_with_fn(self):
     ds_ios = query_dataset_io(lambda ds_io: ds_io.name == 'mem')
     self.assertEqual(1, len(ds_ios))
     self.assertIsInstance(ds_ios[0], MemDatasetIO)
Esempio n. 4
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 def test_query_dataset_io(self):
     ds_ios = query_dataset_io()
     self.assertEqual(4, len(ds_ios))
Esempio n. 5
0
File: gen.py Progetto: dzelge/xcube
import click

from xcube.api.gen.config import get_config_dict
from xcube.api.gen.defaults import DEFAULT_OUTPUT_PATH, DEFAULT_OUTPUT_RESAMPLING
from xcube.api.gen.gen import gen_cube
from xcube.api.gen.iproc import InputProcessor
from xcube.util.dsio import query_dataset_io
from xcube.util.objreg import get_obj_registry
from xcube.util.reproject import NAME_TO_GDAL_RESAMPLE_ALG

input_processor_names = [
    input_processor.name
    for input_processor in get_obj_registry().get_all(type=InputProcessor)
]
output_writer_names = [
    ds_io.name for ds_io in query_dataset_io(lambda ds_io: 'w' in ds_io.modes)
]
resampling_algs = NAME_TO_GDAL_RESAMPLE_ALG.keys()


# noinspection PyShadowingBuiltins
@click.command(name='gen', context_settings={"ignore_unknown_options": True})
@click.argument('inputs', nargs=-1)
@click.option(
    '--proc',
    '-p',
    type=click.Choice(input_processor_names),
    help=f'Input processor type name. '
    f'The choices as input processor and additional information about input processors '
    ' can be accessed by calling xcube gen --info . Defaults to "default" - the default input processor '
    'that can deal with most common datasets conforming with the CF conventions.'