"%Y-%m-%d") #end_date = datetime.strptime(datevalues["RANGEENDINGDATE"], "%Y-%m-%d") end_date = datetime(year=2015, month=1, day=1) srid = 96842 level = 0 block_size = (50, 50) granule_name = "%s_%s %s_%d" % (provider_name, variable_name, start_date.strftime("%Y%m%d"), level) table_name = "%s_%s_%s_%d" % (provider_name, variable_name, start_date.strftime("%Y%m%d"), level) ras = GDALRaster(sds, srid) ras.nodata_range = [0.5, 256] #only 0 (water) ras.reclassifier = {0: 1} alabama_bbox = proj_helper.get_bbox(srid) base_ingestor.ingest(ras=ras, provider_name=provider_name, variable_name=variable_name, granule_name=granule_name, table_name=granule_name, srid=srid, level=level, block_size=block_size, dynamic=False, subset_bbox=alabama_bbox, start_time=start_date, end_time=end_date, overwrite=True)
block_size=block_size, dynamic=False, subset_bbox=bbox, start_time=start_date, end_time=end_date, overwrite=True) variable_name = "WATERBODY" granule_name = "%s_%s %s_%d" % (provider_name, variable_name, start_date.strftime("%Y%m%d"), level) table_name = "%s_%s_%s_%d" % (provider_name, variable_name, start_date.strftime("%Y%m%d"), level) water_ras = GDALRaster(tif_file, srid) water_ras.nodata_value = 255 water_ras.nodata_range = [0.5, 256] #only 0 (water) water_ras.reclassifier = {0: 1} base_ingestor.ingest(ras=water_ras, provider_name=provider_name, variable_name=variable_name, granule_name=granule_name, table_name=granule_name, srid=srid, level=level, block_size=block_size, dynamic=False, subset_bbox=bbox, start_time=start_date, end_time=end_date, overwrite=True)