def main():
"""
Placeholder
"""
# parse arguments
args = parseArguments()
obj = Exporter()
# for each scene
scenes = getSceneList(args)
for scene in scenes:
# export hdf sub-datasets to geotiff
obj.process(scene)
return
def main():
init_logging()
init_filesystem()
arguments = docopt(__doc__, version='gtfs-exporter %s' % version)
provider_type = arguments['--provider']
provider = DataProvider()
if provider_type == "file":
provider = FileDataProvider(
arguments['--file'],
feed_id=arguments['--id'],
lenient=arguments['--lenient'],
disable_normalization=arguments['--disablenormalize'])
elif provider_type == "url":
provider = HttpDataProvider(
arguments['--url'],
feed_id=arguments['--id'],
lenient=arguments['--lenient'],
disable_normalization=arguments['--disablenormalize'])
elif provider_type == "api":
builder = ApiBuilder(
arguments['--url'],
feed_id=arguments['--id'],
lenient=arguments['--lenient'],
disable_normalization=arguments['--disablenormalize'])
provider = builder.build()
exporter = Exporter(arguments)
sg = ShapeGenerator(
"https://download.geofabrik.de/europe/romania-latest.osm.bz2",
out_path)
# flow needs to be different when receiving data from api
# - load
# - process
# - generate initial gtfs files
# - generate shapes for gtfs
# - generate bundle
# for zip, url
# - generation of shapes
# - load all the feed to process & interpolate
# - generate feed (bundle)
if provider.is_from_api():
exporter.load(provider)
exporter.process()
exporter.export(bundle=False)
sg.generate()
from exporter.util.storage import generate_gtfs_bundle
generate_gtfs_bundle(out_path, bundle=f"gtfs-{arguments['--id']}.zip")
else:
sg.generate()
exporter.load(provider)
exporter.process()
exporter.export(bundle=True)
rg = ReleaseGenerator(GH_REPO, GH_TOKEN)
rg.generate([
os.path.join(out_path, f"gtfs-{arguments['--id']}.zip"),
] + glob.glob(os.path.join(out_path, "*.json")))
