ray/dashboard/modules/logical_view/logical_view_head.py
Xianyang Liu 4ecd29ea2b
[dashboard] Fixes dashboard issues when environments have set http_proxy (#12598)
* fixes ray start with http_proxy

* format

* fixes

* fixes

* increase timeout

* address comments
2021-01-21 20:10:01 -08:00

68 lines
2.6 KiB
Python

import logging
import aiohttp.web
import ray.utils
import ray.new_dashboard.utils as dashboard_utils
import ray.new_dashboard.actor_utils as actor_utils
from ray.new_dashboard.utils import rest_response
from ray.new_dashboard.datacenter import DataOrganizer, DataSource
from ray.core.generated import core_worker_pb2
from ray.core.generated import core_worker_pb2_grpc
from grpc.experimental import aio as aiogrpc
logger = logging.getLogger(__name__)
routes = dashboard_utils.ClassMethodRouteTable
class LogicalViewHead(dashboard_utils.DashboardHeadModule):
@routes.get("/logical/actor_groups")
async def get_actor_groups(self, req) -> aiohttp.web.Response:
actors = await DataOrganizer.get_all_actors()
actor_creation_tasks = await DataOrganizer.get_actor_creation_tasks()
# actor_creation_tasks have some common interface with actors,
# and they get processed and shown in tandem in the logical view
# hence we merge them together before constructing actor groups.
actors.update(actor_creation_tasks)
actor_groups = actor_utils.construct_actor_groups(actors)
return rest_response(
success=True,
message="Fetched actor groups.",
actor_groups=actor_groups)
@routes.get("/logical/actors")
@dashboard_utils.aiohttp_cache
async def get_all_actors(self, req) -> aiohttp.web.Response:
return dashboard_utils.rest_response(
success=True,
message="All actors fetched.",
actors=DataSource.actors)
@routes.get("/logical/kill_actor")
async def kill_actor(self, req) -> aiohttp.web.Response:
try:
actor_id = req.query["actorId"]
ip_address = req.query["ipAddress"]
port = req.query["port"]
except KeyError:
return rest_response(success=False, message="Bad Request")
try:
options = (("grpc.enable_http_proxy", 0), )
channel = aiogrpc.insecure_channel(
f"{ip_address}:{port}", options=options)
stub = core_worker_pb2_grpc.CoreWorkerServiceStub(channel)
await stub.KillActor(
core_worker_pb2.KillActorRequest(
intended_actor_id=ray.utils.hex_to_binary(actor_id)))
except aiogrpc.AioRpcError:
# This always throws an exception because the worker
# is killed and the channel is closed on the worker side
# before this handler, however it deletes the actor correctly.
pass
return rest_response(
success=True, message=f"Killed actor with id {actor_id}")
async def run(self, server):
pass