def log_failed_request(response: requests.models.Response, address: str):
error_message = (
f"\nRequest to address {address} failed. Got response status code "
f"{response.status_code} with the following message:"
f"\n\n{response.text}")
cli_logger.newline()
cli_logger.error(error_message)
cli_logger.newline()
def run(self):
update_start_time = time.time()
if (
cmd_output_util.does_allow_interactive()
and cmd_output_util.is_output_redirected()
):
# this is most probably a bug since the user has no control
# over these settings
msg = (
"Output was redirected for an interactive command. "
"Either do not pass `--redirect-command-output` "
"or also pass in `--use-normal-shells`."
)
cli_logger.abort(msg)
try:
with LogTimer(
self.log_prefix + "Applied config {}".format(self.runtime_hash)
):
self.do_update()
except Exception as e:
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_UPDATE_FAILED}
)
cli_logger.error("New status: {}", cf.bold(STATUS_UPDATE_FAILED))
cli_logger.error("!!!")
if hasattr(e, "cmd"):
cli_logger.error(
"Setup command `{}` failed with exit code {}. stderr:",
cf.bold(e.cmd),
e.returncode,
)
else:
cli_logger.verbose_error("{}", str(vars(e)))
# todo: handle this better somehow?
cli_logger.error("{}", str(e))
# todo: print stderr here
cli_logger.error("!!!")
cli_logger.newline()
if isinstance(e, click.ClickException):
# todo: why do we ignore this here
return
raise
tags_to_set = {
TAG_RAY_NODE_STATUS: STATUS_UP_TO_DATE,
TAG_RAY_RUNTIME_CONFIG: self.runtime_hash,
}
if self.file_mounts_contents_hash is not None:
tags_to_set[TAG_RAY_FILE_MOUNTS_CONTENTS] = self.file_mounts_contents_hash
self.provider.set_node_tags(self.node_id, tags_to_set)
cli_logger.labeled_value("New status", STATUS_UP_TO_DATE)
self.update_time = time.time() - update_start_time
self.exitcode = 0
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()
def submit(
address: Optional[str],
job_id: Optional[str],
runtime_env: Optional[str],
runtime_env_json: Optional[str],
working_dir: Optional[str],
entrypoint: Tuple[str],
no_wait: bool,
):
"""Submits a job to be run on the cluster.
Example:
ray job submit -- python my_script.py --arg=val
"""
client = _get_sdk_client(address, create_cluster_if_needed=True)
final_runtime_env = parse_runtime_env_args(
runtime_env=runtime_env,
runtime_env_json=runtime_env_json,
working_dir=working_dir,
)
job_id = client.submit_job(
entrypoint=list2cmdline(entrypoint),
job_id=job_id,
runtime_env=final_runtime_env,
)
_log_big_success_msg(f"Job '{job_id}' submitted successfully")
with cli_logger.group("Next steps"):
cli_logger.print("Query the logs of the job:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job logs {job_id}"))
cli_logger.print("Query the status of the job:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job status {job_id}"))
cli_logger.print("Request the job to be stopped:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job stop {job_id}"))
cli_logger.newline()
sdk_version = client.get_version()
# sdk version 0 does not have log streaming
if not no_wait:
if int(sdk_version) > 0:
cli_logger.print("Tailing logs until the job exits "
"(disable with --no-wait):")
asyncio.get_event_loop().run_until_complete(
_tail_logs(client, job_id))
else:
cli_logger.warning(
"Tailing logs is not enabled for job sdk client version "
f"{sdk_version}. Please upgrade your ray to latest version "
"for this feature.")
def delete(address: str, yes: bool):
if not yes:
click.confirm(
f"\nThis will shutdown the Serve application at address "
f'"{address}" and delete all deployments there. Do you '
"want to continue?",
abort=True,
)
ServeSubmissionClient(address).delete_application()
cli_logger.newline()
cli_logger.success("\nSent delete request successfully!\n")
cli_logger.newline()
def deploy(config_file_name: str, address: str):
with open(config_file_name, "r") as config_file:
config = yaml.safe_load(config_file)
# Schematize config to validate format.
ServeApplicationSchema.parse_obj(config)
ServeSubmissionClient(address).deploy_application(config)
cli_logger.newline()
cli_logger.success(
"\nSent deploy request successfully!\n "
"* Use `serve status` to check deployments' statuses.\n "
"* Use `serve config` to see the running app's config.\n")
cli_logger.newline()
def deploy(config_file_name: str, address: str):
full_address_path = f"{address}/api/serve/deployments/"
with open(config_file_name, "r") as config_file:
config = yaml.safe_load(config_file)
# Generate a schema using the config to ensure its format is valid
ServeApplicationSchema.parse_obj(config)
response = requests.put(full_address_path, json=config)
if response.status_code == 200:
cli_logger.newline()
cli_logger.success(
"\nSent deploy request successfully!\n "
"* Use `serve status` to check your deployments' statuses.\n "
"* Use `serve info` to see your running Serve "
"application's configuration.\n")
cli_logger.newline()
else:
log_failed_request(response, address)
def handle_boto_error(exc, msg, *args, **kwargs):
if cli_logger.old_style:
# old-style logging doesn't do anything here
# so we exit early
return
error_code = None
error_info = None
# todo: not sure if these exceptions always have response
if hasattr(exc, "response"):
error_info = exc.response.get("Error", None)
if error_info is not None:
error_code = error_info.get("Code", None)
generic_message_args = [
"{}\n"
"Error code: {}",
msg.format(*args, **kwargs),
cf.bold(error_code)
]
# apparently
# ExpiredTokenException
# ExpiredToken
# RequestExpired
# are all the same pretty much
credentials_expiration_codes = [
"ExpiredTokenException", "ExpiredToken", "RequestExpired"
]
if error_code in credentials_expiration_codes:
# "An error occurred (ExpiredToken) when calling the
# GetInstanceProfile operation: The security token
# included in the request is expired"
# "An error occurred (RequestExpired) when calling the
# DescribeKeyPairs operation: Request has expired."
token_command = (
"aws sts get-session-token "
"--serial-number arn:aws:iam::" + cf.underlined("ROOT_ACCOUNT_ID")
+ ":mfa/" + cf.underlined("AWS_USERNAME") + " --token-code " +
cf.underlined("TWO_FACTOR_AUTH_CODE"))
secret_key_var = (
"export AWS_SECRET_ACCESS_KEY = " + cf.underlined("REPLACE_ME") +
" # found at Credentials.SecretAccessKey")
session_token_var = (
"export AWS_SESSION_TOKEN = " + cf.underlined("REPLACE_ME") +
" # found at Credentials.SessionToken")
access_key_id_var = (
"export AWS_ACCESS_KEY_ID = " + cf.underlined("REPLACE_ME") +
" # found at Credentials.AccessKeyId")
# fixme: replace with a Github URL that points
# to our repo
aws_session_script_url = ("https://gist.github.com/maximsmol/"
"a0284e1d97b25d417bd9ae02e5f450cf")
cli_logger.verbose_error(*generic_message_args)
cli_logger.verbose(vars(exc))
cli_logger.panic("Your AWS session has expired.")
cli_logger.newline()
cli_logger.panic("You can request a new one using")
cli_logger.panic(cf.bold(token_command))
cli_logger.panic("then expose it to Ray by setting")
cli_logger.panic(cf.bold(secret_key_var))
cli_logger.panic(cf.bold(session_token_var))
cli_logger.panic(cf.bold(access_key_id_var))
cli_logger.newline()
cli_logger.panic("You can find a script that automates this at:")
cli_logger.panic(cf.underlined(aws_session_script_url))
# Do not re-raise the exception here because it looks awful
# and we already print all the info in verbose
cli_logger.abort()
# todo: any other errors that we should catch separately?
cli_logger.panic(*generic_message_args)
cli_logger.newline()
with cli_logger.verbatim_error_ctx("Boto3 error:"):
cli_logger.verbose("{}", str(vars(exc)))
cli_logger.panic("{}", str(exc))
cli_logger.abort()
def get_or_create_head_node(config,
config_file,
no_restart,
restart_only,
yes,
override_cluster_name,
_provider=None,
_runner=subprocess):
"""Create the cluster head node, which in turn creates the workers."""
provider = (_provider or _get_node_provider(config["provider"],
config["cluster_name"]))
config = copy.deepcopy(config)
config_file = os.path.abspath(config_file)
try:
head_node_tags = {
TAG_RAY_NODE_KIND: NODE_KIND_HEAD,
}
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) > 0:
head_node = nodes[0]
else:
head_node = None
if not head_node:
cli_logger.confirm(yes, "No head node found. "
"Launching a new cluster.",
_abort=True)
cli_logger.old_confirm("This will create a new cluster", yes)
elif not no_restart:
cli_logger.old_confirm("This will restart cluster services", yes)
if head_node:
if restart_only:
cli_logger.confirm(
yes, "Updating cluster configuration and "
"restarting the cluster Ray runtime. "
"Setup commands will not be run due to `{}`.\n",
cf.bold("--restart-only"),
_abort=True)
elif no_restart:
cli_logger.print(
"Cluster Ray runtime will not be restarted due "
"to `{}`.", cf.bold("--no-restart"))
cli_logger.confirm(yes, "Updating cluster configuration and "
"running setup commands.",
_abort=True)
else:
cli_logger.print(
"Updating cluster configuration and running full setup.")
cli_logger.confirm(
yes,
cf.bold("Cluster Ray runtime will be restarted."),
_abort=True)
cli_logger.newline()
# TODO(ekl) this logic is duplicated in node_launcher.py (keep in sync)
head_node_config = copy.deepcopy(config["head_node"])
if "head_node_type" in config:
head_node_tags[TAG_RAY_USER_NODE_TYPE] = config["head_node_type"]
head_node_config.update(config["available_node_types"][
config["head_node_type"]]["node_config"])
launch_hash = hash_launch_conf(head_node_config, config["auth"])
if head_node is None or provider.node_tags(head_node).get(
TAG_RAY_LAUNCH_CONFIG) != launch_hash:
with cli_logger.group("Acquiring an up-to-date head node"):
if head_node is not None:
cli_logger.print(
"Currently running head node is out-of-date with "
"cluster configuration")
cli_logger.print(
"hash is {}, expected {}",
cf.bold(
provider.node_tags(head_node).get(
TAG_RAY_LAUNCH_CONFIG)), cf.bold(launch_hash))
cli_logger.confirm(yes, "Relaunching it.", _abort=True)
cli_logger.old_confirm(
"Head node config out-of-date. It will be terminated",
yes)
cli_logger.old_info(
logger, "get_or_create_head_node: "
"Shutting down outdated head node {}", head_node)
provider.terminate_node(head_node)
cli_logger.print("Terminated head node {}", head_node)
cli_logger.old_info(
logger,
"get_or_create_head_node: Launching new head node...")
head_node_tags[TAG_RAY_LAUNCH_CONFIG] = launch_hash
head_node_tags[TAG_RAY_NODE_NAME] = "ray-{}-head".format(
config["cluster_name"])
provider.create_node(head_node_config, head_node_tags, 1)
cli_logger.print("Launched a new head node")
start = time.time()
head_node = None
with cli_logger.timed("Fetching the new head node"):
while True:
if time.time() - start > 50:
cli_logger.abort(
"Head node fetch timed out.") # todo: msg
raise RuntimeError("Failed to create head node.")
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) == 1:
head_node = nodes[0]
break
time.sleep(POLL_INTERVAL)
cli_logger.newline()
with cli_logger.group(
"Setting up head node",
_numbered=("<>", 1, 1),
# cf.bold(provider.node_tags(head_node)[TAG_RAY_NODE_NAME]),
_tags=dict()): # add id, ARN to tags?
# TODO(ekl) right now we always update the head node even if the
# hash matches.
# We could prompt the user for what they want to do here.
# No need to pass in cluster_sync_files because we use this
# hash to set up the head node
(runtime_hash, file_mounts_contents_hash) = hash_runtime_conf(
config["file_mounts"], None, config)
cli_logger.old_info(
logger,
"get_or_create_head_node: Updating files on head node...")
# Rewrite the auth config so that the head
# node can update the workers
remote_config = copy.deepcopy(config)
# drop proxy options if they exist, otherwise
# head node won't be able to connect to workers
remote_config["auth"].pop("ssh_proxy_command", None)
if "ssh_private_key" in config["auth"]:
remote_key_path = "~/ray_bootstrap_key.pem"
remote_config["auth"]["ssh_private_key"] = remote_key_path
# Adjust for new file locations
new_mounts = {}
for remote_path in config["file_mounts"]:
new_mounts[remote_path] = remote_path
remote_config["file_mounts"] = new_mounts
remote_config["no_restart"] = no_restart
remote_config = provider.prepare_for_head_node(remote_config)
# Now inject the rewritten config and SSH key into the head node
remote_config_file = tempfile.NamedTemporaryFile(
"w", prefix="ray-bootstrap-")
remote_config_file.write(json.dumps(remote_config))
remote_config_file.flush()
config["file_mounts"].update(
{"~/ray_bootstrap_config.yaml": remote_config_file.name})
if "ssh_private_key" in config["auth"]:
config["file_mounts"].update({
remote_key_path:
config["auth"]["ssh_private_key"],
})
cli_logger.print("Prepared bootstrap config")
if restart_only:
setup_commands = []
ray_start_commands = config["head_start_ray_commands"]
elif no_restart:
setup_commands = config["head_setup_commands"]
ray_start_commands = []
else:
setup_commands = config["head_setup_commands"]
ray_start_commands = config["head_start_ray_commands"]
if not no_restart:
warn_about_bad_start_command(ray_start_commands)
updater = NodeUpdaterThread(
node_id=head_node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=config["initialization_commands"],
setup_commands=setup_commands,
ray_start_commands=ray_start_commands,
process_runner=_runner,
runtime_hash=runtime_hash,
file_mounts_contents_hash=file_mounts_contents_hash,
is_head_node=True,
docker_config=config.get("docker"))
updater.start()
updater.join()
# Refresh the node cache so we see the external ip if available
provider.non_terminated_nodes(head_node_tags)
if config.get("provider", {}).get("use_internal_ips",
False) is True:
head_node_ip = provider.internal_ip(head_node)
else:
head_node_ip = provider.external_ip(head_node)
if updater.exitcode != 0:
# todo: this does not follow the mockup and is not good enough
cli_logger.abort("Failed to setup head node.")
cli_logger.old_error(
logger, "get_or_create_head_node: "
"Updating {} failed", head_node_ip)
sys.exit(1)
cli_logger.old_info(
logger, "get_or_create_head_node: "
"Head node up-to-date, IP address is: {}", head_node_ip)
monitor_str = "tail -n 100 -f /tmp/ray/session_latest/logs/monitor*"
if override_cluster_name:
modifiers = " --cluster-name={}".format(
quote(override_cluster_name))
else:
modifiers = ""
if cli_logger.old_style:
print("To monitor autoscaling activity, you can run:\n\n"
" ray exec {} {}{}\n".format(config_file,
quote(monitor_str), modifiers))
print("To open a console on the cluster:\n\n"
" ray attach {}{}\n".format(config_file, modifiers))
print("To get a remote shell to the cluster manually, run:\n\n"
" {}\n".format(
updater.cmd_runner.remote_shell_command_str()))
cli_logger.newline()
with cli_logger.group("Useful commands"):
cli_logger.print("Monitor autoscaling with")
cli_logger.print(cf.bold(" ray exec {}{} {}"), config_file,
modifiers, quote(monitor_str))
cli_logger.print("Connect to a terminal on the cluster head:")
cli_logger.print(cf.bold(" ray attach {}{}"), config_file,
modifiers)
remote_shell_str = updater.cmd_runner.remote_shell_command_str()
cli_logger.print("Get a remote shell to the cluster manually:")
cli_logger.print(" {}", remote_shell_str.strip())
finally:
provider.cleanup()
def log_to_cli(config: Dict[str, Any]) -> None:
provider_name = _PROVIDER_PRETTY_NAMES.get("aws", None)
cli_logger.doassert(
provider_name is not None, "Could not find a pretty name for the AWS provider."
)
head_node_type = config["head_node_type"]
head_node_config = config["available_node_types"][head_node_type]["node_config"]
with cli_logger.group("{} config", provider_name):
def print_info(
resource_string: str,
key: str,
src_key: str,
allowed_tags: Optional[List[str]] = None,
list_value: bool = False,
) -> None:
if allowed_tags is None:
allowed_tags = ["default"]
node_tags = {}
# set of configurations corresponding to `key`
unique_settings = set()
for node_type_key, node_type in config["available_node_types"].items():
node_tags[node_type_key] = {}
tag = _log_info[src_key][node_type_key]
if tag in allowed_tags:
node_tags[node_type_key][tag] = True
setting = node_type["node_config"].get(key)
if list_value:
unique_settings.add(tuple(setting))
else:
unique_settings.add(setting)
head_value_str = head_node_config[key]
if list_value:
head_value_str = cli_logger.render_list(head_value_str)
if len(unique_settings) == 1:
# all node types are configured the same, condense
# log output
cli_logger.labeled_value(
resource_string + " (all available node types)",
"{}",
head_value_str,
_tags=node_tags[config["head_node_type"]],
)
else:
# do head node type first
cli_logger.labeled_value(
resource_string + f" ({head_node_type})",
"{}",
head_value_str,
_tags=node_tags[head_node_type],
)
# go through remaining types
for node_type_key, node_type in config["available_node_types"].items():
if node_type_key == head_node_type:
continue
workers_value_str = node_type["node_config"][key]
if list_value:
workers_value_str = cli_logger.render_list(workers_value_str)
cli_logger.labeled_value(
resource_string + f" ({node_type_key})",
"{}",
workers_value_str,
_tags=node_tags[node_type_key],
)
tags = {"default": _log_info["head_instance_profile_src"] == "default"}
# head_node_config is the head_node_type's config,
# config["head_node"] is a field that gets applied only to the actual
# head node (and not workers of the head's node_type)
assert (
"IamInstanceProfile" in head_node_config
or "IamInstanceProfile" in config["head_node"]
)
if "IamInstanceProfile" in head_node_config:
# If the user manually configured the role we're here.
IamProfile = head_node_config["IamInstanceProfile"]
elif "IamInstanceProfile" in config["head_node"]:
# If we filled the default IAM role, we're here.
IamProfile = config["head_node"]["IamInstanceProfile"]
profile_arn = IamProfile.get("Arn")
profile_name = _arn_to_name(profile_arn) if profile_arn else IamProfile["Name"]
cli_logger.labeled_value("IAM Profile", "{}", profile_name, _tags=tags)
if all(
"KeyName" in node_type["node_config"]
for node_type in config["available_node_types"].values()
):
print_info("EC2 Key pair", "KeyName", "keypair_src")
print_info("VPC Subnets", "SubnetIds", "subnet_src", list_value=True)
print_info(
"EC2 Security groups",
"SecurityGroupIds",
"security_group_src",
list_value=True,
)
print_info("EC2 AMI", "ImageId", "ami_src", allowed_tags=["dlami"])
cli_logger.newline()
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)
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"]))
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 submit(cluster_config_file, screen, tmux, stop, start, cluster_name,
no_config_cache, port_forward, script, args, script_args, log_style,
log_color, verbose):
"""Uploads and runs a script on the specified cluster.
The script is automatically synced to the following location:
os.path.join("~", os.path.basename(script))
Example:
>>> ray submit [CLUSTER.YAML] experiment.py -- --smoke-test
"""
cli_logger.configure(log_style, log_color, verbose)
cli_logger.doassert(not (screen and tmux),
"`{}` and `{}` are incompatible.", cf.bold("--screen"),
cf.bold("--tmux"))
cli_logger.doassert(
not (script_args and args),
"`{0}` and `{1}` are incompatible. Use only `{1}`.\n"
"Example: `{2}`", cf.bold("--args"), cf.bold("-- <args ...>"),
cf.bold("ray submit script.py -- --arg=123 --flag"))
assert not (screen and tmux), "Can specify only one of `screen` or `tmux`."
assert not (script_args and args), "Use -- --arg1 --arg2 for script args."
if args:
cli_logger.warning(
"`{}` is deprecated and will be removed in the future.",
cf.bold("--args"))
cli_logger.warning("Use `{}` instead. Example: `{}`.",
cf.bold("-- <args ...>"),
cf.bold("ray submit script.py -- --arg=123 --flag"))
cli_logger.newline()
if start:
create_or_update_cluster(
config_file=cluster_config_file,
override_min_workers=None,
override_max_workers=None,
no_restart=False,
restart_only=False,
yes=True,
override_cluster_name=cluster_name,
no_config_cache=no_config_cache,
redirect_command_output=False,
use_login_shells=True)
target = os.path.basename(script)
target = os.path.join("~", target)
rsync(
cluster_config_file,
script,
target,
cluster_name,
no_config_cache=no_config_cache,
down=False)
command_parts = ["python", target]
if script_args:
command_parts += list(script_args)
elif args is not None:
command_parts += [args]
port_forward = [(port, port) for port in list(port_forward)]
cmd = " ".join(command_parts)
exec_cluster(
cluster_config_file,
cmd=cmd,
run_env="docker",
screen=screen,
tmux=tmux,
stop=stop,
start=False,
override_cluster_name=cluster_name,
no_config_cache=no_config_cache,
port_forward=port_forward)
# This is an executable script that runs an example of every single CliLogger
# function for demonstration purposes. Primarily useful for tuning color and
# other formatting.
from ray.autoscaler._private.cli_logger import cli_logger
import colorful as cf
cli_logger.old_style = False
cli_logger.verbosity = 999
cli_logger.detect_colors()
cli_logger.print(
cf.bold("Bold ") + cf.italic("Italic ") + cf.underlined("Underlined"))
cli_logger.labeled_value("Label", "value")
cli_logger.print("List: {}", cli_logger.render_list([1, 2, 3]))
cli_logger.newline()
cli_logger.very_verbose("Very verbose")
cli_logger.verbose("Verbose")
cli_logger.verbose_warning("Verbose warning")
cli_logger.verbose_error("Verbose error")
cli_logger.print("Info")
cli_logger.success("Success")
cli_logger.warning("Warning")
cli_logger.error("Error")
cli_logger.newline()
try:
cli_logger.abort("Abort")
except Exception:
pass
try:
cli_logger.doassert(False, "Assert")
def start(node_ip_address, address, port, redis_password, redis_shard_ports,
object_manager_port, node_manager_port, gcs_server_port,
min_worker_port, max_worker_port, worker_port_list, memory,
object_store_memory, redis_max_memory, num_cpus, num_gpus, resources,
head, include_dashboard, dashboard_host, dashboard_port, block,
plasma_directory, autoscaling_config, no_redirect_worker_output,
no_redirect_output, plasma_store_socket_name, raylet_socket_name,
temp_dir, java_worker_options, load_code_from_local,
code_search_path, system_config, lru_evict,
enable_object_reconstruction, metrics_export_port, log_style,
log_color, verbose):
"""Start Ray processes manually on the local machine."""
cli_logger.configure(log_style, log_color, verbose)
if gcs_server_port and not head:
raise ValueError(
"gcs_server_port can be only assigned when you specify --head.")
# Convert hostnames to numerical IP address.
if node_ip_address is not None:
node_ip_address = services.address_to_ip(node_ip_address)
redis_address = None
if address is not None:
(redis_address, redis_address_ip,
redis_address_port) = services.validate_redis_address(address)
try:
resources = json.loads(resources)
except Exception:
cli_logger.error("`{}` is not a valid JSON string.",
cf.bold("--resources"))
cli_logger.abort(
"Valid values look like this: `{}`",
cf.bold("--resources='\"CustomResource3\": 1, "
"\"CustomResource2\": 2}'"))
raise Exception("Unable to parse the --resources argument using "
"json.loads. Try using a format like\n\n"
" --resources='{\"CustomResource1\": 3, "
"\"CustomReseource2\": 2}'")
redirect_worker_output = None if not no_redirect_worker_output else True
redirect_output = None if not no_redirect_output else True
ray_params = ray.parameter.RayParams(
node_ip_address=node_ip_address,
min_worker_port=min_worker_port,
max_worker_port=max_worker_port,
worker_port_list=worker_port_list,
object_manager_port=object_manager_port,
node_manager_port=node_manager_port,
gcs_server_port=gcs_server_port,
memory=memory,
object_store_memory=object_store_memory,
redis_password=redis_password,
redirect_worker_output=redirect_worker_output,
redirect_output=redirect_output,
num_cpus=num_cpus,
num_gpus=num_gpus,
resources=resources,
plasma_directory=plasma_directory,
huge_pages=False,
plasma_store_socket_name=plasma_store_socket_name,
raylet_socket_name=raylet_socket_name,
temp_dir=temp_dir,
include_dashboard=include_dashboard,
dashboard_host=dashboard_host,
dashboard_port=dashboard_port,
java_worker_options=java_worker_options,
load_code_from_local=load_code_from_local,
code_search_path=code_search_path,
_system_config=system_config,
lru_evict=lru_evict,
enable_object_reconstruction=enable_object_reconstruction,
metrics_export_port=metrics_export_port)
if head:
# Use default if port is none, allocate an available port if port is 0
if port is None:
port = ray_constants.DEFAULT_PORT
if port == 0:
with socket() as s:
s.bind(("", 0))
port = s.getsockname()[1]
num_redis_shards = None
# Start Ray on the head node.
if redis_shard_ports is not None:
redis_shard_ports = redis_shard_ports.split(",")
# Infer the number of Redis shards from the ports if the number is
# not provided.
num_redis_shards = len(redis_shard_ports)
if redis_address is not None:
cli_logger.abort(
"`{}` starts a new Redis server, `{}` should not be set.",
cf.bold("--head"), cf.bold("--address"))
raise Exception("If --head is passed in, a Redis server will be "
"started, so a Redis address should not be "
"provided.")
node_ip_address = services.get_node_ip_address()
# Get the node IP address if one is not provided.
ray_params.update_if_absent(node_ip_address=node_ip_address)
cli_logger.labeled_value("Local node IP", ray_params.node_ip_address)
ray_params.update_if_absent(
redis_port=port,
redis_shard_ports=redis_shard_ports,
redis_max_memory=redis_max_memory,
num_redis_shards=num_redis_shards,
redis_max_clients=None,
autoscaling_config=autoscaling_config,
)
# Fail early when starting a new cluster when one is already running
if address is None:
default_address = f"{node_ip_address}:{port}"
redis_addresses = services.find_redis_address(default_address)
if len(redis_addresses) > 0:
raise ConnectionError(
f"Ray is already running at {default_address}. "
f"Please specify a different port using the `--port`"
f" command to `ray start`.")
node = ray.node.Node(
ray_params, head=True, shutdown_at_exit=block, spawn_reaper=block)
redis_address = node.redis_address
# this is a noop if new-style is not set, so the old logger calls
# are still in place
cli_logger.newline()
startup_msg = "Ray runtime started."
cli_logger.success("-" * len(startup_msg))
cli_logger.success(startup_msg)
cli_logger.success("-" * len(startup_msg))
cli_logger.newline()
with cli_logger.group("Next steps"):
cli_logger.print(
"To connect to this Ray runtime from another node, run")
cli_logger.print(
cf.bold(" ray start --address='{}'{}"), redis_address,
f" --redis-password='******'"
if redis_password else "")
cli_logger.newline()
cli_logger.print("Alternatively, use the following Python code:")
with cli_logger.indented():
with cf.with_style("monokai") as c:
cli_logger.print("{} ray", c.magenta("import"))
cli_logger.print(
"ray{}init(address{}{}{})", c.magenta("."),
c.magenta("="), c.yellow("'auto'"),
", _redis_password{}{}".format(
c.magenta("="),
c.yellow("'" + redis_password + "'"))
if redis_password else "")
cli_logger.newline()
cli_logger.print(
cf.underlined("If connection fails, check your "
"firewall settings and "
"network configuration."))
cli_logger.newline()
cli_logger.print("To terminate the Ray runtime, run")
cli_logger.print(cf.bold(" ray stop"))
else:
# Start Ray on a non-head node.
if not (port is None):
cli_logger.abort("`{}` should not be specified without `{}`.",
cf.bold("--port"), cf.bold("--head"))
raise Exception("If --head is not passed in, --port is not "
"allowed.")
if redis_shard_ports is not None:
cli_logger.abort("`{}` should not be specified without `{}`.",
cf.bold("--redis-shard-ports"), cf.bold("--head"))
raise Exception("If --head is not passed in, --redis-shard-ports "
"is not allowed.")
if redis_address is None:
cli_logger.abort("`{}` is required unless starting with `{}`.",
cf.bold("--address"), cf.bold("--head"))
raise Exception("If --head is not passed in, --address must "
"be provided.")
if include_dashboard:
cli_logger.abort("`{}` should not be specified without `{}`.",
cf.bold("--include-dashboard"), cf.bold("--head"))
raise ValueError(
"If --head is not passed in, the --include-dashboard"
"flag is not relevant.")
# Wait for the Redis server to be started. And throw an exception if we
# can't connect to it.
services.wait_for_redis_to_start(
redis_address_ip, redis_address_port, password=redis_password)
# Create a Redis client.
redis_client = services.create_redis_client(
redis_address, password=redis_password)
# Check that the version information on this node matches the version
# information that the cluster was started with.
services.check_version_info(redis_client)
# Get the node IP address if one is not provided.
ray_params.update_if_absent(
node_ip_address=services.get_node_ip_address(redis_address))
cli_logger.labeled_value("Local node IP", ray_params.node_ip_address)
# Check that there aren't already Redis clients with the same IP
# address connected with this Redis instance. This raises an exception
# if the Redis server already has clients on this node.
check_no_existing_redis_clients(ray_params.node_ip_address,
redis_client)
ray_params.update(redis_address=redis_address)
node = ray.node.Node(
ray_params, head=False, shutdown_at_exit=block, spawn_reaper=block)
cli_logger.newline()
startup_msg = "Ray runtime started."
cli_logger.success("-" * len(startup_msg))
cli_logger.success(startup_msg)
cli_logger.success("-" * len(startup_msg))
cli_logger.newline()
cli_logger.print("To terminate the Ray runtime, run")
cli_logger.print(cf.bold(" ray stop"))
if block:
cli_logger.newline()
with cli_logger.group(cf.bold("--block")):
cli_logger.print(
"This command will now block until terminated by a signal.")
cli_logger.print(
"Runing subprocesses are monitored and a message will be "
"printed if any of them terminate unexpectedly.")
while True:
time.sleep(1)
deceased = node.dead_processes()
if len(deceased) > 0:
cli_logger.newline()
cli_logger.error("Some Ray subprcesses exited unexpectedly:")
with cli_logger.indented():
for process_type, process in deceased:
cli_logger.error(
"{}",
cf.bold(str(process_type)),
_tags={"exit code": str(process.returncode)})
# shutdown_at_exit will handle cleanup.
cli_logger.newline()
cli_logger.error("Remaining processes will be killed.")
sys.exit(1)
def _log_big_success_msg(success_msg):
cli_logger.newline()
cli_logger.success("-" * len(success_msg))
cli_logger.success(success_msg)
cli_logger.success("-" * len(success_msg))
cli_logger.newline()
def job_submit(
address: Optional[str],
job_id: Optional[str],
runtime_env: Optional[str],
runtime_env_json: Optional[str],
working_dir: Optional[str],
entrypoint: Tuple[str],
no_wait: bool,
):
"""Submits a job to be run on the cluster.
Example:
>>> ray job submit -- python my_script.py --arg=val
"""
client = _get_sdk_client(address, create_cluster_if_needed=True)
final_runtime_env = {}
if runtime_env is not None:
if runtime_env_json is not None:
raise ValueError("Only one of --runtime_env and "
"--runtime-env-json can be provided.")
with open(runtime_env, "r") as f:
final_runtime_env = yaml.safe_load(f)
elif runtime_env_json is not None:
final_runtime_env = json.loads(runtime_env_json)
if working_dir is not None:
if "working_dir" in final_runtime_env:
cli_logger.warning(
"Overriding runtime_env working_dir with --working-dir option")
final_runtime_env["working_dir"] = working_dir
job_id = client.submit_job(
entrypoint=list2cmdline(entrypoint),
job_id=job_id,
runtime_env=final_runtime_env,
)
_log_big_success_msg(f"Job '{job_id}' submitted successfully")
with cli_logger.group("Next steps"):
cli_logger.print("Query the logs of the job:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job logs {job_id}"))
cli_logger.print("Query the status of the job:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job status {job_id}"))
cli_logger.print("Request the job to be stopped:")
with cli_logger.indented():
cli_logger.print(cf.bold(f"ray job stop {job_id}"))
cli_logger.newline()
sdk_version = client.get_version()
# sdk version 0 does not have log streaming
if not no_wait:
if int(sdk_version) > 0:
cli_logger.print("Tailing logs until the job exits "
"(disable with --no-wait):")
asyncio.get_event_loop().run_until_complete(
_tail_logs(client, job_id))
else:
cli_logger.warning(
"Tailing logs is not enabled for job sdk client version "
f"{sdk_version}. Please upgrade your ray to latest version "
"for this feature.")
def get_or_create_head_node(config: Dict[str, Any],
printable_config_file: str,
no_restart: bool,
restart_only: bool,
yes: bool,
override_cluster_name: Optional[str],
no_monitor_on_head: bool = False,
_provider: Optional[NodeProvider] = None,
_runner: ModuleType = subprocess) -> None:
"""Create the cluster head node, which in turn creates the workers."""
global_event_system.execute_callback(
CreateClusterEvent.cluster_booting_started)
provider = (_provider or _get_node_provider(config["provider"],
config["cluster_name"]))
config = copy.deepcopy(config)
head_node_tags = {
TAG_RAY_NODE_KIND: NODE_KIND_HEAD,
}
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) > 0:
head_node = nodes[0]
else:
head_node = None
if not head_node:
cli_logger.confirm(
yes,
"No head node found. "
"Launching a new cluster.",
_abort=True)
if head_node:
if restart_only:
cli_logger.confirm(
yes,
"Updating cluster configuration and "
"restarting the cluster Ray runtime. "
"Setup commands will not be run due to `{}`.\n",
cf.bold("--restart-only"),
_abort=True)
elif no_restart:
cli_logger.print(
"Cluster Ray runtime will not be restarted due "
"to `{}`.", cf.bold("--no-restart"))
cli_logger.confirm(
yes,
"Updating cluster configuration and "
"running setup commands.",
_abort=True)
else:
cli_logger.print(
"Updating cluster configuration and running full setup.")
cli_logger.confirm(
yes,
cf.bold("Cluster Ray runtime will be restarted."),
_abort=True)
cli_logger.newline()
# TODO(ekl) this logic is duplicated in node_launcher.py (keep in sync)
head_node_config = copy.deepcopy(config["head_node"])
head_node_resources = None
if "head_node_type" in config:
head_node_type = config["head_node_type"]
head_node_tags[TAG_RAY_USER_NODE_TYPE] = head_node_type
head_config = config["available_node_types"][head_node_type]
head_node_config.update(head_config["node_config"])
# Not necessary to keep in sync with node_launcher.py
# Keep in sync with autoscaler.py _node_resources
head_node_resources = head_config.get("resources")
launch_hash = hash_launch_conf(head_node_config, config["auth"])
if head_node is None or provider.node_tags(head_node).get(
TAG_RAY_LAUNCH_CONFIG) != launch_hash:
with cli_logger.group("Acquiring an up-to-date head node"):
global_event_system.execute_callback(
CreateClusterEvent.acquiring_new_head_node)
if head_node is not None:
cli_logger.print(
"Currently running head node is out-of-date with "
"cluster configuration")
cli_logger.print(
"hash is {}, expected {}",
cf.bold(
provider.node_tags(head_node)
.get(TAG_RAY_LAUNCH_CONFIG)), cf.bold(launch_hash))
cli_logger.confirm(yes, "Relaunching it.", _abort=True)
provider.terminate_node(head_node)
cli_logger.print("Terminated head node {}", head_node)
head_node_tags[TAG_RAY_LAUNCH_CONFIG] = launch_hash
head_node_tags[TAG_RAY_NODE_NAME] = "ray-{}-head".format(
config["cluster_name"])
head_node_tags[TAG_RAY_NODE_STATUS] = STATUS_UNINITIALIZED
provider.create_node(head_node_config, head_node_tags, 1)
cli_logger.print("Launched a new head node")
start = time.time()
head_node = None
with cli_logger.group("Fetching the new head node"):
while True:
if time.time() - start > 50:
cli_logger.abort(
"Head node fetch timed out.") # todo: msg
raise RuntimeError("Failed to create head node.")
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) == 1:
head_node = nodes[0]
break
time.sleep(POLL_INTERVAL)
cli_logger.newline()
global_event_system.execute_callback(CreateClusterEvent.head_node_acquired)
with cli_logger.group(
"Setting up head node",
_numbered=("<>", 1, 1),
# cf.bold(provider.node_tags(head_node)[TAG_RAY_NODE_NAME]),
_tags=dict()): # add id, ARN to tags?
# TODO(ekl) right now we always update the head node even if the
# hash matches.
# We could prompt the user for what they want to do here.
# No need to pass in cluster_sync_files because we use this
# hash to set up the head node
(runtime_hash, file_mounts_contents_hash) = hash_runtime_conf(
config["file_mounts"], None, config)
if not no_monitor_on_head:
# Return remote_config_file to avoid prematurely closing it.
config, remote_config_file = _set_up_config_for_head_node(
config, provider, no_restart)
cli_logger.print("Prepared bootstrap config")
if restart_only:
# Docker may re-launch nodes, requiring setup
# commands to be rerun.
if config.get("docker", {}).get("container_name"):
setup_commands = config["head_setup_commands"]
else:
setup_commands = []
ray_start_commands = config["head_start_ray_commands"]
elif no_restart:
setup_commands = config["head_setup_commands"]
ray_start_commands = []
else:
setup_commands = config["head_setup_commands"]
ray_start_commands = config["head_start_ray_commands"]
if not no_restart:
warn_about_bad_start_command(ray_start_commands,
no_monitor_on_head)
updater = NodeUpdaterThread(
node_id=head_node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=config["initialization_commands"],
setup_commands=setup_commands,
ray_start_commands=ray_start_commands,
process_runner=_runner,
runtime_hash=runtime_hash,
file_mounts_contents_hash=file_mounts_contents_hash,
is_head_node=True,
node_resources=head_node_resources,
rsync_options={
"rsync_exclude": config.get("rsync_exclude"),
"rsync_filter": config.get("rsync_filter")
},
docker_config=config.get("docker"),
restart_only=restart_only)
updater.start()
updater.join()
# Refresh the node cache so we see the external ip if available
provider.non_terminated_nodes(head_node_tags)
if updater.exitcode != 0:
# todo: this does not follow the mockup and is not good enough
cli_logger.abort("Failed to setup head node.")
sys.exit(1)
global_event_system.execute_callback(
CreateClusterEvent.cluster_booting_completed, {
"head_node_id": head_node,
})
monitor_str = "tail -n 100 -f /tmp/ray/session_latest/logs/monitor*"
if override_cluster_name:
modifiers = " --cluster-name={}".format(quote(override_cluster_name))
else:
modifiers = ""
cli_logger.newline()
with cli_logger.group("Useful commands"):
printable_config_file = os.path.abspath(printable_config_file)
cli_logger.print("Monitor autoscaling with")
cli_logger.print(
cf.bold(" ray exec {}{} {}"), printable_config_file, modifiers,
quote(monitor_str))
cli_logger.print("Connect to a terminal on the cluster head:")
cli_logger.print(
cf.bold(" ray attach {}{}"), printable_config_file, modifiers)
remote_shell_str = updater.cmd_runner.remote_shell_command_str()
cli_logger.print("Get a remote shell to the cluster manually:")
cli_logger.print(" {}", remote_shell_str.strip())
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] = None,
no_config_cache: bool = False,
redirect_command_output: Optional[bool] = False,
use_login_shells: bool = True,
no_monitor_on_head: bool = False) -> Dict[str, Any]:
"""Creates or updates an autoscaling Ray cluster from a config json."""
# no_monitor_on_head is an internal flag used by the Ray K8s operator.
# If True, prevents autoscaling config sync to the Ray head during cluster
# creation. See https://github.com/ray-project/ray/pull/13720.
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)
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
global_event_system.execute_callback(CreateClusterEvent.up_started,
{"cluster_config": config})
# 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"]))
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"])
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, no_monitor_on_head)
return config
def _log_big_error_msg(success_msg):
cli_logger.newline()
cli_logger.error("-" * len(success_msg))
cli_logger.error(success_msg)
cli_logger.error("-" * len(success_msg))
cli_logger.newline()
def log_to_cli(config):
provider_name = _PROVIDER_PRETTY_NAMES.get("aws", None)
cli_logger.doassert(provider_name is not None,
"Could not find a pretty name for the AWS provider.")
with cli_logger.group("{} config", provider_name):
def same_everywhere(key):
return config["head_node"][key] == config["worker_nodes"][key]
def print_info(resource_string,
key,
head_src_key,
workers_src_key,
allowed_tags=None,
list_value=False):
if allowed_tags is None:
allowed_tags = ["default"]
head_tags = {}
workers_tags = {}
if _log_info[head_src_key] in allowed_tags:
head_tags[_log_info[head_src_key]] = True
if _log_info[workers_src_key] in allowed_tags:
workers_tags[_log_info[workers_src_key]] = True
head_value_str = config["head_node"][key]
if list_value:
head_value_str = cli_logger.render_list(head_value_str)
if same_everywhere(key):
cli_logger.labeled_value( # todo: handle plural vs singular?
resource_string + " (head & workers)",
"{}",
head_value_str,
_tags=head_tags)
else:
workers_value_str = config["worker_nodes"][key]
if list_value:
workers_value_str = cli_logger.render_list(
workers_value_str)
cli_logger.labeled_value(
resource_string + " (head)",
"{}",
head_value_str,
_tags=head_tags)
cli_logger.labeled_value(
resource_string + " (workers)",
"{}",
workers_value_str,
_tags=workers_tags)
tags = {"default": _log_info["head_instance_profile_src"] == "default"}
profile_arn = config["head_node"]["IamInstanceProfile"].get("Arn")
profile_name = _arn_to_name(profile_arn) \
if profile_arn \
else config["head_node"]["IamInstanceProfile"]["Name"]
cli_logger.labeled_value("IAM Profile", "{}", profile_name, _tags=tags)
if ("KeyName" in config["head_node"]
and "KeyName" in config["worker_nodes"]):
print_info("EC2 Key pair", "KeyName", "keypair_src", "keypair_src")
print_info(
"VPC Subnets",
"SubnetIds",
"head_subnet_src",
"workers_subnet_src",
list_value=True)
print_info(
"EC2 Security groups",
"SecurityGroupIds",
"head_security_group_src",
"workers_security_group_src",
list_value=True)
print_info(
"EC2 AMI",
"ImageId",
"head_ami_src",
"workers_ami_src",
allowed_tags=["dlami"])
cli_logger.newline()
