carla/Util/Docker/docker_tools.py

147 lines
4.1 KiB
Python
Executable File

#!/usr/bin/env python
# Copyright (c) 2019 Computer Vision Center (CVC) at the Universitat Autonoma
# de Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""
Helper script to generate consumables for Carla in Docker
"""
from __future__ import print_function
import argparse
import docker
import docker_utils
import os
def print_formated_dict(dic):
for k, v in dic.items():
print(' - "' + str(k) + '"' + ": " + str(v))
print()
def bold(text):
return ''.join([docker_utils.BOLD, text, docker_utils.ENDC])
def bold_underline(text):
return ''.join([docker_utils.UNDERLINE, bold(text)])
def parse_args():
argparser = argparse.ArgumentParser(
description=__doc__)
argparser.add_argument(
'-i', '--input',
type=str,
help='Path of all the assets to convert')
argparser.add_argument(
'-o', '--output',
type=str,
help='Path where all the assets will be after conversion. Default: current directory.')
argparser.add_argument(
'--packages',
type=str,
help='(Optional) Packages to generate. Usage: "--packages=PkgeName1,PkgeName2"')
argparser.add_argument(
'-v', '--verbose',
action='store_true',
default=False,
help='Prints extra information')
argparser.add_argument(
'--image',
type=str,
help='Use a specific Carla image. Default: "carla:latest"')
args = argparser.parse_args()
if not args.output:
args.output = os.getcwd()
if args.packages is not None and args.packages and not args.input:
print(
docker_utils.RED +
"[Error] The Input Path [-i|--input] must be specified "
"if you are processing individual packages." + docker_utils.ENDC)
exit(1)
print()
print(bold("- ") + bold_underline("Params:"))
print(" - Output path: " + str(args.output))
print(" - Packages: " + str(args.packages))
print(" - Input path: " + str(args.input))
print(" - Verbose: " + str(args.verbose))
print()
return args
def main():
args = parse_args()
carla_image_name = "carla:latest"
inbox_assets_path = '/home/ue4/carla/Import'
client = docker.from_env()
# All possible Docker arguments are here:
# https://docker-py.readthedocs.io/en/stable/containers.html
container_args = {
"image": carla_image_name,
"user": 'ue4',
"auto_remove": True,
"stdin_open": True,
"tty": True,
"detach": True}
if args.packages:
container_args["volumes"] = {
args.input: {'bind': inbox_assets_path, 'mode': 'rw'}}
print(bold("- ") + bold_underline("Docker arguments:"))
print_formated_dict(container_args)
try:
print("Runnig Docker...")
carla_container = client.containers.run(**container_args)
if args.packages:
# If there is packages, import them first and package them
docker_utils.exec_command(
carla_container,
'make import',
user='ue4', verbose=args.verbose, ignore_error=False)
docker_utils.exec_command(
carla_container,
'make package ARGS="--packages=' + str(args.packages) + '"',
user='ue4', verbose=args.verbose, ignore_error=False)
else:
# Just create a package of the whole project
docker_utils.exec_command(
carla_container,
'make package',
user='ue4', verbose=args.verbose, ignore_error=False)
# Get the files routes to export
files_to_copy = docker_utils.get_file_paths(
carla_container,
'/home/ue4/carla/Dist/*.tar.gz',
user='ue4', verbose=args.verbose)
# Copy these fles to the output folder
docker_utils.extract_files(carla_container, files_to_copy, args.output)
finally:
print("Closing container " + carla_image_name)
carla_container.stop()
if __name__ == '__main__':
main()