from troposphere import Ref
from troposphere import Tags
from troposphere import Template
from troposphere.ec2 import VPCGatewayAttachment
from troposphere.ec2 import InternetGateway
from troposphere.ec2 import VPC
from functions import readConfigFile
from functions import addRouteTable
from functions import addNatGateway
from functions import addSubnetRouteTableAssociation
from functions import addSubnet
from functions import addRouteToRouteTableIGW
from functions import addRouteToRouteTableNAT
# Loading the config file based on the argument passed
data = readConfigFile('filename')
t = Template()
t.add_version('2010-09-09')
t.add_description("""\
AWS CloudFormation Template VPC with Public and Private Subnets following AWS Scenario 2\
""")
# Parameters
vpcName_param = t.add_parameter(Parameter(
"VpcName",
Description="VPC for %s environment" % data['EnvInfo']['Name'],
Default="%s-VPC" % data['EnvInfo']['Name'],
Type="String"
print(
"Read bands(tif file) and align with block mode."
"This mode support removing the movement of clouds so that align results will be more accurate."
)
print("\nUsage instruction:")
print("example.exe [img_dir] [img_out_dir]")
print("[img_dir]:The input dir that contains band data(tif files).")
print("[img_out_dir]:The output dir for resampled images.")
print("\nUsage example:")
print("AlignTIF_Block.exe C:\\tif C:\\tifout")
os.system('pause')
elif sys.argv.__len__() == 3:
# 多波段分块对准模式（tif -> tif）
print('---Block mode for tif files---')
# 读取参数
fun.readConfigFile('config.yml')
exe_paths = []
if fun.isCloudMode:
print("=>Cloud movement detector on")
else:
print("=>Cloud movement detector off")
if fun.isIteration:
print('---Base image iteration mode---')
# 构造执行命令
input_path = sys.argv[1]
output_path = sys.argv[2]
if fun.isReverse:
paths, names, files = fun.findAllFilesReverse(
input_path, '.tif')
else: