ray/dashboard/datacenter.py
2020-07-27 11:34:47 +08:00

108 lines
4.1 KiB
Python

import logging
import ray.new_dashboard.consts as dashboard_consts
from ray.new_dashboard.utils import Dict, Signal
logger = logging.getLogger(__name__)
class GlobalSignals:
node_info_fetched = Signal(dashboard_consts.SIGNAL_NODE_INFO_FETCHED)
class DataSource:
# {ip address(str): node stats(dict of GetNodeStatsReply
# in node_manager.proto)}
node_stats = Dict()
# {ip address(str): node physical stats(dict from reporter_agent.py)}
node_physical_stats = Dict()
# {actor id hex(str): actor table data(dict of ActorTableData
# in gcs.proto)}
actors = Dict()
# {ip address(str): dashboard agent grpc server port(int)}
agents = Dict()
# {ip address(str): gcs node info(dict of GcsNodeInfo in gcs.proto)}
nodes = Dict()
# {hostname(str): ip address(str)}
hostname_to_ip = Dict()
# {ip address(str): hostname(str)}
ip_to_hostname = Dict()
class DataOrganizer:
@staticmethod
async def purge():
# Purge data that is out of date.
# These data sources are maintained by DashboardHead,
# we do not needs to purge them:
# * agents
# * nodes
# * hostname_to_ip
# * ip_to_hostname
logger.info("Purge data.")
valid_keys = DataSource.ip_to_hostname.keys()
for key in DataSource.node_stats.keys() - valid_keys:
DataSource.node_stats.pop(key)
for key in DataSource.node_physical_stats.keys() - valid_keys:
DataSource.node_physical_stats.pop(key)
@classmethod
async def get_node_actors(cls, hostname):
ip = DataSource.hostname_to_ip[hostname]
node_stats = DataSource.node_stats.get(ip, {})
node_worker_id_set = set()
for worker_stats in node_stats.get("workersStats", []):
node_worker_id_set.add(worker_stats["workerId"])
node_actors = {}
for actor_id, actor_table_data in DataSource.actors.items():
if actor_table_data["workerId"] in node_worker_id_set:
node_actors[actor_id] = actor_table_data
return node_actors
@classmethod
async def get_node_info(cls, hostname):
ip = DataSource.hostname_to_ip[hostname]
node_physical_stats = DataSource.node_physical_stats.get(ip, {})
node_stats = DataSource.node_stats.get(ip, {})
# Merge coreWorkerStats (node stats) to workers (node physical stats)
workers_stats = node_stats.pop("workersStats", {})
pid_to_worker_stats = {}
pid_to_language = {}
pid_to_job_id = {}
for stats in workers_stats:
d = pid_to_worker_stats.setdefault(stats["pid"], {}).setdefault(
stats["workerId"], stats["coreWorkerStats"])
d["workerId"] = stats["workerId"]
pid_to_language.setdefault(stats["pid"],
stats.get("language", "PYTHON"))
pid_to_job_id.setdefault(stats["pid"],
stats["coreWorkerStats"]["jobId"])
for worker in node_physical_stats.get("workers", []):
worker_stats = pid_to_worker_stats.get(worker["pid"], {})
worker["coreWorkerStats"] = list(worker_stats.values())
worker["language"] = pid_to_language.get(worker["pid"], "")
worker["jobId"] = pid_to_job_id.get(worker["pid"], "ffff")
# Merge node stats to node physical stats
node_info = node_physical_stats
node_info["raylet"] = node_stats
node_info["actors"] = await cls.get_node_actors(hostname)
node_info["state"] = DataSource.nodes.get(ip, {}).get("state", "DEAD")
await GlobalSignals.node_info_fetched.send(node_info)
return node_info
@classmethod
async def get_all_node_summary(cls):
all_nodes_summary = []
for hostname in DataSource.hostname_to_ip.keys():
node_info = await cls.get_node_info(hostname)
node_info.pop("workers", None)
node_info["raylet"].pop("workersStats", None)
node_info["raylet"].pop("viewData", None)
all_nodes_summary.append(node_info)
return all_nodes_summary