"%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)