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(argv)
# Read platform params
with open(args.platform, 'r') as f:
# use safe_load instead load
platform = yaml.safe_load(f)['platform']
# Read image params using platform params
images_yaml = StringIO()
try:
interpreter = Interpreter(output=images_yaml)
interpreter.file(open(args.images, 'r'), locals=platform)
images_yaml = images_yaml.getvalue()
except Exception:
print("Error processing %s" % args.images)
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 params
data.update(platform)
# Apply package distro/version formatting
expandPackages(data)
# Get path to save Docker file
dockerfile_dir = os.path.join(args.output, image)
if not os.path.exists(dockerfile_dir):
os.makedirs(dockerfile_dir)
data['dockerfile_dir'] = dockerfile_dir
# generate Dockerfile
create_files(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(argv)
# Read platform params
with open(args.platform, 'r') as f:
# use safe_load instead load
platform = yaml.safe_load(f)['platform']
# Read image params using platform params
images_yaml = StringIO()
try:
interpreter = Interpreter(output=images_yaml)
interpreter.file(open(args.images, 'r'), locals=platform)
images_yaml = images_yaml.getvalue()
except Exception as e:
print("Error processing %s" % args.images)
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 params
data.update(platform)
# Apply package distro/version formatting
expandPackages(data)
# Get path to save Docker file
dockerfile_dir = os.path.join(args.output, image)
if not os.path.exists(dockerfile_dir):
os.makedirs(dockerfile_dir)
data['dockerfile_dir'] = dockerfile_dir
# generate Dockerfile
create_files(data)
def expand_template(template_name, data, options=None):
global template_hook
output = StringIO()
try:
interpreter = Interpreter(output=output, options=options)
template_path = os.path.join(template_basepath, template_name)
# create copy before manipulating
data = dict(data)
data['ESCAPE'] = _escape_value
data['SNIPPET'] = _expand_snippet
interpreter.file(open(template_path), locals=data)
value = output.getvalue()
if template_hook:
template_hook(template_name, data, value)
return value
except Exception as e:
print("%s processing template '%s'" %
(e.__class__.__name__, template_name), file=sys.stderr)
raise
finally:
interpreter.shutdown()
def expand_template(template_name, data, options=None):
global template_basepath
global interpreter
global template_hooks
output = StringIO()
try:
interpreter = Interpreter(output=output, options=options)
for template_hook in template_hooks or []:
interpreter.addHook(template_hook)
template_path = os.path.join(template_basepath, template_name)
# create copy before manipulating
data = dict(data)
# add some generic information to context
data['template_name'] = template_name
now = time.localtime()
data['now_str'] = time.strftime(
'%Y-%m-%d %H:%M:%S %z', now)
data['today_str'] = time.strftime(
'%Y-%m-%d (%z)', now)
tz_name = time.strftime('%Z', now)
tz_offset = time.strftime('%z', now)
data['timezone'] = '%s%s%s' % \
(tz_name, '+' if tz_offset[0] == '-' else '-', tz_offset[1:3])
_add_helper_functions(data)
interpreter.file(open(template_path, 'r'), locals=data)
value = output.getvalue()
return value
except Exception as e:
print("%s processing template '%s'" %
(e.__class__.__name__, template_name), file=sys.stderr)
raise
finally:
interpreter.shutdown()
interpreter = None
def expand_template(template_name, data, options=None):
global interpreter
global template_hooks
output = StringIO()
try:
interpreter = Interpreter(output=output, options=options)
for template_hook in template_hooks or []:
interpreter.addHook(template_hook)
template_path = get_template_path(template_name)
# create copy before manipulating
data = dict(data)
# add some generic information to context
data['template_name'] = template_name
now = time.localtime()
data['now_str'] = time.strftime(
'%Y-%m-%d %H:%M:%S %z', now)
data['today_str'] = time.strftime(
'%Y-%m-%d (%z)', now)
tz_name = time.strftime('%Z', now)
tz_offset = time.strftime('%z', now)
data['timezone'] = '%s%s%s' % \
(tz_name, '+' if tz_offset[0] == '-' else '-', tz_offset[1:3])
_add_helper_functions(data)
interpreter.file(open(template_path, 'r'), locals=data)
value = output.getvalue()
return value
except Exception as e:
print("%s processing template '%s'" %
(e.__class__.__name__, template_name), file=sys.stderr)
raise
finally:
interpreter.shutdown()
interpreter = None
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)