def main(argv=sys.argv[1:]):
# Create parser
parser = DockerfileArgParser()
# generate data for config
data = parser.parse(argv)
# Print parsed meta packages
pkg_names = data['packages']
print("Found the following packages:")
for pkg_name in sorted(pkg_names):
print(' -', pkg_name)
# Print parsed template packages
template_pkg_names = data['template_packages']
print("Priority of template packages:")
for template_pkg_name in template_pkg_names:
print(' -', template_pkg_name)
# template_name is specified relative to the templates folder in the template_packages
template_name = 'docker_images/create_base_image.Dockerfile.em'
dockerfile_dir = data['dockerfile_dir']
# generate Dockerfile
create_dockerfile(template_name, data, dockerfile_dir)
def main(argv=sys.argv[1:]):
"""Create Dockerfiles for images from platform and image yaml data"""
# Create the top-level parser
parser = DockerfileArgParser(
description="Generate the 'Dockerfile's for the base docker images")
parser.set()
args = parser.parse_args(argv)
# If paths were given explicitly
if args.subparser_name == 'explicit':
platform_path = args.platform
images_path = args.images
output_path = args.output
# Else just use the given directory path
elif args.subparser_name == 'dir':
platform_path = 'platform.yaml'
images_path = 'images.yaml.em'
platform_path = os.path.join(args.directory, platform_path)
images_path = os.path.join(args.directory, images_path)
output_path = args.directory
# Read platform perams
with open(platform_path, 'r') as f:
# use safe_load instead load
platform = yaml.safe_load(f)['platform']
# Ream image perams using platform perams
images_yaml = StringIO()
try:
interpreter = Interpreter(output=images_yaml)
interpreter.file(open(images_path, 'r'), locals=platform)
images_yaml = images_yaml.getvalue()
except Exception as e:
print("Error processing %s" % images_path)
raise
finally:
interpreter.shutdown()
interpreter = None
# Use ordered dict
images = OrderedLoad(images_yaml, yaml.SafeLoader)['images']
# For each image tag
for image in images:
# Get data for image
data = dict(images[image])
data['tag_name'] = image
# Add platform perams
data.update(platform)
# Check version
if not data['package_version']:
checkVersion(data)
# Apply version
if ('gazebo_packages' in data) and ('package_version' in data):
data['gazebo_packages'] = applyVersion(data['gazebo_packages'], data['package_version'])
# Get path to save Docker file
dockerfile_dir = os.path.join(output_path, image)
if not os.path.exists(dockerfile_dir):
os.makedirs(dockerfile_dir)
data['dockerfile_dir'] = dockerfile_dir
# generate Dockerfile
create_dockerfile(data)
def main(argv=sys.argv[1:]):
"""Create Dockerfiles for images from platform and image yaml data"""
# Create the top-level parser
parser = DockerfileArgParser(
description="Generate the 'Dockerfile's for the base docker images")
parser.set()
args = parser.parse_args(argv)
# If paths were given explicitly
if args.subparser_name == 'explicit':
platform_path = args.platform
images_path = args.images
output_path = args.output
# Else just use the given directory path
elif args.subparser_name == 'dir':
platform_path = 'platform.yaml'
images_path = 'images.yaml.em'
platform_path = os.path.join(args.directory, platform_path)
images_path = os.path.join(args.directory, images_path)
output_path = args.directory
# Read platform perams
with open(platform_path, 'r') as f:
# use safe_load instead load
platform = yaml.safe_load(f)['platform']
# Ream image perams using platform perams
images_yaml = StringIO()
try:
interpreter = Interpreter(output=images_yaml)
interpreter.file(open(images_path, 'r'), locals=platform)
images_yaml = images_yaml.getvalue()
except Exception as e:
print("Error processing %s" % images_path)
raise
finally:
interpreter.shutdown()
interpreter = None
# Use ordered dict
images = OrderedLoad(images_yaml, yaml.SafeLoader)['images']
# For each image tag
for image in images:
# Get data for image
data = dict(images[image])
data['tag_name'] = image
# Add platform perams
data.update(platform)
# Apply version
data['gazebo_packages'] = applyVersion(data['gazebo_packages'], data['package_version'])
# Get path to save Docker file
dockerfile_dir = os.path.join(output_path, image)
if not os.path.exists(dockerfile_dir):
os.makedirs(dockerfile_dir)
data['dockerfile_dir'] = dockerfile_dir
# generate Dockerfile
create_dockerfile(data)