Files
2026-07-13 13:17:40 +08:00

325 lines
12 KiB
Python

import logging
import random
import threading
import time
from collections import defaultdict
from typing import Any, Dict, List, Optional
from ray.autoscaler._private.aliyun.config import (
PENDING,
RUNNING,
STOPPED,
STOPPING,
bootstrap_aliyun,
)
from ray.autoscaler._private.aliyun.utils import AcsClient
from ray.autoscaler._private.cli_logger import cli_logger
from ray.autoscaler._private.constants import BOTO_MAX_RETRIES
from ray.autoscaler._private.log_timer import LogTimer
from ray.autoscaler.node_provider import NodeProvider
from ray.autoscaler.tags import (
TAG_RAY_CLUSTER_NAME,
TAG_RAY_LAUNCH_CONFIG,
TAG_RAY_NODE_KIND,
TAG_RAY_NODE_NAME,
TAG_RAY_NODE_STATUS,
TAG_RAY_USER_NODE_TYPE,
)
logger = logging.getLogger(__name__)
TAG_BATCH_DELAY = 1
STOPPING_NODE_DELAY = 1
class AliyunNodeProvider(NodeProvider):
def __init__(self, provider_config, cluster_name):
NodeProvider.__init__(self, provider_config, cluster_name)
self.cache_stopped_nodes = provider_config.get("cache_stopped_nodes", True)
self.acs = AcsClient(
access_key=provider_config["access_key"],
access_key_secret=provider_config["access_key_secret"],
region_id=provider_config["region"],
max_retries=BOTO_MAX_RETRIES,
)
# Try availability zones round-robin, starting from random offset
self.subnet_idx = random.randint(0, 100)
# Tags that we believe to actually be on the node.
self.tag_cache = {}
# Tags that we will soon upload.
self.tag_cache_pending = defaultdict(dict)
# Number of threads waiting for a batched tag update.
self.batch_thread_count = 0
self.batch_update_done = threading.Event()
self.batch_update_done.set()
self.ready_for_new_batch = threading.Event()
self.ready_for_new_batch.set()
self.tag_cache_lock = threading.Lock()
self.count_lock = threading.Lock()
# Cache of node objects from the last nodes() call. This avoids
# excessive DescribeInstances requests.
self.cached_nodes = {}
def non_terminated_nodes(self, tag_filters: Dict[str, str]) -> List[str]:
tags = [
{
"Key": TAG_RAY_CLUSTER_NAME,
"Value": self.cluster_name,
},
]
for k, v in tag_filters.items():
tags.append(
{
"Key": k,
"Value": v,
}
)
instances = self.acs.describe_instances(tags=tags)
non_terminated_instance = []
for instance in instances:
if instance.get("Status") == RUNNING or instance.get("Status") == PENDING:
non_terminated_instance.append(instance.get("InstanceId"))
self.cached_nodes[instance.get("InstanceId")] = instance
return non_terminated_instance
def is_running(self, node_id: str) -> bool:
instances = self.acs.describe_instances(instance_ids=[node_id])
if instances is not None:
instance = instances[0]
return instance.get("Status") == "Running"
cli_logger.error("Invalid node id: %s", node_id)
return False
def is_terminated(self, node_id: str) -> bool:
instances = self.acs.describe_instances(instance_ids=[node_id])
if instances is not None:
assert len(instances) == 1
instance = instances[0]
return instance.get("Status") == "Stopped"
cli_logger.error("Invalid node id: %s", node_id)
return False
def node_tags(self, node_id: str) -> Dict[str, str]:
instances = self.acs.describe_instances(instance_ids=[node_id])
if instances is not None:
assert len(instances) == 1
instance = instances[0]
if instance.get("Tags") is not None:
node_tags = dict()
for tag in instance.get("Tags").get("Tag"):
node_tags[tag.get("TagKey")] = tag.get("TagValue")
return node_tags
return dict()
def external_ip(self, node_id: str) -> str:
while True:
instances = self.acs.describe_instances(instance_ids=[node_id])
if instances is not None:
assert len(instances)
instance = instances[0]
if (
instance.get("PublicIpAddress") is not None
and instance.get("PublicIpAddress").get("IpAddress") is not None
):
if len(instance.get("PublicIpAddress").get("IpAddress")) > 0:
return instance.get("PublicIpAddress").get("IpAddress")[0]
cli_logger.error("PublicIpAddress attribute is not exist. %s" % instance)
time.sleep(STOPPING_NODE_DELAY)
def internal_ip(self, node_id: str) -> str:
while True:
instances = self.acs.describe_instances(instance_ids=[node_id])
if instances is not None:
assert len(instances) == 1
instance = instances[0]
if (
instance.get("VpcAttributes") is not None
and instance.get("VpcAttributes").get("PrivateIpAddress")
is not None
and len(
instance.get("VpcAttributes")
.get("PrivateIpAddress")
.get("IpAddress")
)
> 0
):
return (
instance.get("VpcAttributes")
.get("PrivateIpAddress")
.get("IpAddress")[0]
)
cli_logger.error("InnerIpAddress attribute is not exist. %s" % instance)
time.sleep(STOPPING_NODE_DELAY)
def set_node_tags(self, node_id: str, tags: Dict[str, str]) -> None:
is_batching_thread = False
with self.tag_cache_lock:
if not self.tag_cache_pending:
is_batching_thread = True
# Wait for threads in the last batch to exit
self.ready_for_new_batch.wait()
self.ready_for_new_batch.clear()
self.batch_update_done.clear()
self.tag_cache_pending[node_id].update(tags)
if is_batching_thread:
time.sleep(TAG_BATCH_DELAY)
with self.tag_cache_lock:
self._update_node_tags()
self.batch_update_done.set()
with self.count_lock:
self.batch_thread_count += 1
self.batch_update_done.wait()
with self.count_lock:
self.batch_thread_count -= 1
if self.batch_thread_count == 0:
self.ready_for_new_batch.set()
def _update_node_tags(self):
batch_updates = defaultdict(list)
for node_id, tags in self.tag_cache_pending.items():
for x in tags.items():
batch_updates[x].append(node_id)
self.tag_cache[node_id] = tags
self.tag_cache_pending = defaultdict(dict)
self._create_tags(batch_updates)
def _create_tags(self, batch_updates):
for (k, v), node_ids in batch_updates.items():
m = "Set tag {}={} on {}".format(k, v, node_ids)
with LogTimer("AliyunNodeProvider: {}".format(m)):
if k == TAG_RAY_NODE_NAME:
k = "Name"
self.acs.tag_resource(node_ids, [{"Key": k, "Value": v}])
def create_node(
self, node_config: Dict[str, Any], tags: Dict[str, str], count: int
) -> Optional[Dict[str, Any]]:
filter_tags = [
{
"Key": TAG_RAY_CLUSTER_NAME,
"Value": self.cluster_name,
},
{"Key": TAG_RAY_NODE_KIND, "Value": tags[TAG_RAY_NODE_KIND]},
{"Key": TAG_RAY_USER_NODE_TYPE, "Value": tags[TAG_RAY_USER_NODE_TYPE]},
{"Key": TAG_RAY_LAUNCH_CONFIG, "Value": tags[TAG_RAY_LAUNCH_CONFIG]},
{"Key": TAG_RAY_NODE_NAME, "Value": tags[TAG_RAY_NODE_NAME]},
]
reused_nodes_dict = {}
if self.cache_stopped_nodes:
reuse_nodes_candidate = self.acs.describe_instances(tags=filter_tags)
if reuse_nodes_candidate:
with cli_logger.group("Stopping instances to reuse"):
reuse_node_ids = []
for node in reuse_nodes_candidate:
node_id = node.get("InstanceId")
status = node.get("Status")
if status != STOPPING and status != STOPPED:
continue
if status == STOPPING:
# wait for node stopped
while (
self.acs.describe_instances(instance_ids=[node_id])[
0
].get("Status")
== STOPPING
):
logging.info("wait for %s stop" % node_id)
time.sleep(STOPPING_NODE_DELAY)
# logger.info("reuse %s" % node_id)
reuse_node_ids.append(node_id)
reused_nodes_dict[node.get("InstanceId")] = node
self.acs.start_instance(node_id)
self.tag_cache[node_id] = node.get("Tags")
self.set_node_tags(node_id, tags)
if len(reuse_node_ids) == count:
break
count -= len(reuse_node_ids)
created_nodes_dict = {}
if count > 0:
filter_tags.append(
{"Key": TAG_RAY_NODE_STATUS, "Value": tags[TAG_RAY_NODE_STATUS]}
)
instance_id_sets = self.acs.run_instances(
instance_type=node_config["InstanceType"],
image_id=node_config["ImageId"],
tags=filter_tags,
amount=count,
vswitch_id=self.provider_config["v_switch_id"],
security_group_id=self.provider_config["security_group_id"],
key_pair_name=self.provider_config["key_name"],
)
instances = self.acs.describe_instances(instance_ids=instance_id_sets)
if instances is not None:
for instance in instances:
created_nodes_dict[instance.get("InstanceId")] = instance
all_created_nodes = reused_nodes_dict
all_created_nodes.update(created_nodes_dict)
return all_created_nodes
def terminate_node(self, node_id: str) -> None:
logger.info("terminate node: %s" % node_id)
if self.cache_stopped_nodes:
logger.info(
"Stopping instance {} (to terminate instead, "
"set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration)"
).format(node_id)
self.acs.stop_instance(node_id)
else:
self.acs.delete_instance(node_id)
def terminate_nodes(self, node_ids: List[str]) -> None:
if not node_ids:
return
if self.cache_stopped_nodes:
logger.info(
"Stopping instances {} (to terminate instead, "
"set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration)".format(node_ids)
)
self.acs.stop_instances(node_ids)
else:
self.acs.delete_instances(node_ids)
def _get_node(self, node_id):
"""Refresh and get info for this node, updating the cache."""
self.non_terminated_nodes({}) # Side effect: updates cache
if node_id in self.cached_nodes:
return self.cached_nodes[node_id]
# Node not in {pending, running} -- retry with a point query. This
# usually means the node was recently preempted or terminated.
matches = self.acs.describe_instances(instance_ids=[node_id])
assert len(matches) == 1, "Invalid instance id {}".format(node_id)
return matches[0]
def _get_cached_node(self, node_id):
"""Return node info from cache if possible, otherwise fetches it."""
if node_id in self.cached_nodes:
return self.cached_nodes[node_id]
return self._get_node(node_id)
@staticmethod
def bootstrap_config(cluster_config):
return bootstrap_aliyun(cluster_config)