def create_or_update_cluster(config_file: str,
override_min_workers: Optional[int],
override_max_workers: Optional[int],
no_restart: bool,
restart_only: bool,
yes: bool,
override_cluster_name: Optional[str],
no_config_cache: bool = False,
redirect_command_output: bool = False,
use_login_shells: bool = True) -> None:
"""Create or updates an autoscaling Ray cluster from a config json."""
set_using_login_shells(use_login_shells)
if not use_login_shells:
cmd_output_util.set_allow_interactive(False)
if redirect_command_output is None:
# Do not redirect by default.
cmd_output_util.set_output_redirected(False)
else:
cmd_output_util.set_output_redirected(redirect_command_output)
if use_login_shells:
cli_logger.warning(
"Commands running under a login shell can produce more "
"output than special processing can handle.")
cli_logger.warning(
"Thus, the output from subcommands will be logged as is.")
cli_logger.warning(
"Consider using {}, {}.", cf.bold("--use-normal-shells"),
cf.underlined("if you tested your workflow and it is compatible"))
cli_logger.newline()
def handle_yaml_error(e):
cli_logger.error("Cluster config invalid")
cli_logger.newline()
cli_logger.error("Failed to load YAML file " + cf.bold("{}"),
config_file)
cli_logger.newline()
with cli_logger.verbatim_error_ctx("PyYAML error:"):
cli_logger.error(e)
cli_logger.abort()
try:
config = yaml.safe_load(open(config_file).read())
except FileNotFoundError:
cli_logger.abort(
"Provided cluster configuration file ({}) does not exist",
cf.bold(config_file))
raise
except yaml.parser.ParserError as e:
handle_yaml_error(e)
raise
except yaml.scanner.ScannerError as e:
handle_yaml_error(e)
raise
# todo: validate file_mounts, ssh keys, etc.
importer = NODE_PROVIDERS.get(config["provider"]["type"])
if not importer:
cli_logger.abort(
"Unknown provider type " + cf.bold("{}") + "\n"
"Available providers are: {}", config["provider"]["type"],
cli_logger.render_list([
k for k in NODE_PROVIDERS.keys()
if NODE_PROVIDERS[k] is not None
]))
raise NotImplementedError("Unsupported provider {}".format(
config["provider"]))
cli_logger.success("Cluster configuration valid")
printed_overrides = False
def handle_cli_override(key, override):
if override is not None:
if key in config:
nonlocal printed_overrides
printed_overrides = True
cli_logger.warning(
"`{}` override provided on the command line.\n"
" Using " + cf.bold("{}") +
cf.dimmed(" [configuration file has " + cf.bold("{}") +
"]"), key, override, config[key])
config[key] = override
handle_cli_override("min_workers", override_min_workers)
handle_cli_override("max_workers", override_max_workers)
handle_cli_override("cluster_name", override_cluster_name)
if printed_overrides:
cli_logger.newline()
cli_logger.labeled_value("Cluster", config["cluster_name"])
# disable the cli_logger here if needed
# because it only supports aws
if config["provider"]["type"] != "aws":
cli_logger.old_style = True
cli_logger.newline()
config = _bootstrap_config(config, no_config_cache=no_config_cache)
try_logging_config(config)
get_or_create_head_node(config, config_file, no_restart, restart_only, yes,
override_cluster_name)
def create_or_update_cluster(config_file: str,
override_min_workers: Optional[int],
override_max_workers: Optional[int],
no_restart: bool, restart_only: bool, yes: bool,
override_cluster_name: Optional[str],
no_config_cache: bool, log_old_style: bool,
log_color: str, verbose: int) -> None:
"""Create or updates an autoscaling Ray cluster from a config json."""
cli_logger.old_style = log_old_style
cli_logger.color_mode = log_color
cli_logger.verbosity = verbose
# todo: disable by default when the command output handling PR makes it in
cli_logger.dump_command_output = True
cli_logger.detect_colors()
def handle_yaml_error(e):
cli_logger.error(
"Cluster config invalid.\n"
"Failed to load YAML file " + cf.bold("{}"), config_file)
cli_logger.newline()
with cli_logger.verbatim_error_ctx("PyYAML error:"):
cli_logger.error(e)
cli_logger.abort()
try:
config = yaml.safe_load(open(config_file).read())
except FileNotFoundError:
cli_logger.abort(
"Provided cluster configuration file ({}) does not exist.",
cf.bold(config_file))
except yaml.parser.ParserError as e:
handle_yaml_error(e)
except yaml.scanner.ScannerError as e:
handle_yaml_error(e)
# todo: validate file_mounts, ssh keys, etc.
importer = NODE_PROVIDERS.get(config["provider"]["type"])
if not importer:
cli_logger.abort(
"Unknown provider type " + cf.bold("{}") + "\n"
"Available providers are: {}", config["provider"]["type"],
cli_logger.render_list([
k for k in NODE_PROVIDERS.keys()
if NODE_PROVIDERS[k] is not None
]))
raise NotImplementedError("Unsupported provider {}".format(
config["provider"]))
cli_logger.success("Cluster configuration valid.\n")
printed_overrides = False
def handle_cli_override(key, override):
if override is not None:
if key in config:
nonlocal printed_overrides
printed_overrides = True
cli_logger.warning(
"`{}` override provided on the command line.\n"
" Using " + cf.bold("{}") +
cf.dimmed(" [configuration file has " + cf.bold("{}") +
"]"), key, override, config[key])
config[key] = override
handle_cli_override("min_workers", override_min_workers)
handle_cli_override("max_workers", override_max_workers)
handle_cli_override("cluster_name", override_cluster_name)
if printed_overrides:
cli_logger.newline()
cli_logger.labeled_value("Cluster", config["cluster_name"])
# disable the cli_logger here if needed
# because it only supports aws
if config["provider"]["type"] != "aws":
cli_logger.old_style = True
config = _bootstrap_config(config, no_config_cache)
if config["provider"]["type"] != "aws":
cli_logger.old_style = False
try_logging_config(config)
get_or_create_head_node(config, config_file, no_restart, restart_only, yes,
override_cluster_name)