ray/dashboard/modules/snapshot/snapshot_head.py

161 lines
6.6 KiB
Python
Raw Normal View History

from typing import Dict, Any, List
import hashlib
import ray
from ray.core.generated import gcs_service_pb2
from ray.core.generated import gcs_pb2
from ray.core.generated import gcs_service_pb2_grpc
from ray.experimental.internal_kv import _internal_kv_get, _internal_kv_list
import ray.new_dashboard.utils as dashboard_utils
import json
routes = dashboard_utils.ClassMethodRouteTable
class SnapshotHead(dashboard_utils.DashboardHeadModule):
def __init__(self, dashboard_head):
super().__init__(dashboard_head)
self._gcs_job_info_stub = None
self._gcs_actor_info_stub = None
self._dashboard_head = dashboard_head
@routes.get("/api/snapshot")
async def snapshot(self, req):
job_data = await self.get_job_info()
actor_data = await self.get_actor_info()
serve_data = await self.get_serve_info()
session_name = await self.get_session_name()
snapshot = {
"jobs": job_data,
"actors": actor_data,
"deployments": serve_data,
"session_name": session_name,
"ray_version": ray.__version__,
"ray_commit": ray.__commit__
}
return dashboard_utils.rest_response(
success=True, message="hello", snapshot=snapshot)
async def get_job_info(self):
request = gcs_service_pb2.GetAllJobInfoRequest()
reply = await self._gcs_job_info_stub.GetAllJobInfo(request, timeout=5)
jobs = {}
for job_table_entry in reply.job_info_list:
job_id = job_table_entry.job_id.hex()
config = {
"env_vars": dict(job_table_entry.config.worker_env),
"namespace": job_table_entry.config.ray_namespace,
"metadata": dict(job_table_entry.config.metadata),
"runtime_env": json.loads(
job_table_entry.config.serialized_runtime_env),
}
entry = {
"is_dead": job_table_entry.is_dead,
"start_time": job_table_entry.start_time,
"end_time": job_table_entry.end_time,
"config": config,
}
jobs[job_id] = entry
return jobs
async def get_actor_info(self):
# TODO (Alex): GCS still needs to return actors from dead jobs.
request = gcs_service_pb2.GetAllActorInfoRequest()
request.show_dead_jobs = True
reply = await self._gcs_actor_info_stub.GetAllActorInfo(
request, timeout=5)
actors = {}
for actor_table_entry in reply.actor_table_data:
actor_id = actor_table_entry.actor_id.hex()
runtime_env = json.loads(actor_table_entry.serialized_runtime_env)
entry = {
"job_id": actor_table_entry.job_id.hex(),
"state": gcs_pb2.ActorTableData.ActorState.Name(
actor_table_entry.state),
"name": actor_table_entry.name,
"namespace": actor_table_entry.ray_namespace,
"runtime_env": runtime_env,
"start_time": actor_table_entry.start_time,
"end_time": actor_table_entry.end_time,
"is_detached": actor_table_entry.is_detached,
"resources": dict(
actor_table_entry.task_spec.required_resources),
"actor_class": actor_table_entry.class_name,
"current_worker_id": actor_table_entry.address.worker_id.hex(),
"current_raylet_id": actor_table_entry.address.raylet_id.hex(),
"ip_address": actor_table_entry.address.ip_address,
"port": actor_table_entry.address.port,
"metadata": dict()
}
actors[actor_id] = entry
deployments = await self.get_serve_info()
for _, deployment_info in deployments.items():
for replica_actor_id, actor_info in deployment_info[
"actors"].items():
if replica_actor_id in actors:
serve_metadata = dict()
serve_metadata["replica_tag"] = actor_info[
"replica_tag"]
serve_metadata["deployment_name"] = deployment_info[
"name"]
serve_metadata["version"] = actor_info["version"]
actors[replica_actor_id]["metadata"][
"serve"] = serve_metadata
return actors
async def get_serve_info(self) -> Dict[str, Any]:
# Conditionally import serve to prevent ModuleNotFoundError from serve
# dependencies when only ray[default] is installed (#17712)
try:
from ray.serve.controller import SNAPSHOT_KEY as SERVE_SNAPSHOT_KEY
from ray.serve.constants import SERVE_CONTROLLER_NAME
except Exception:
return {}
gcs_client = self._dashboard_head.gcs_client
# Serve wraps Ray's internal KV store and specially formats the keys.
# These are the keys we are interested in:
# SERVE_CONTROLLER_NAME(+ optional random letters):SERVE_SNAPSHOT_KEY
serve_keys = _internal_kv_list(SERVE_CONTROLLER_NAME, gcs_client)
serve_snapshot_keys = filter(lambda k: SERVE_SNAPSHOT_KEY in str(k),
serve_keys)
deployments_per_controller: List[Dict[str, Any]] = []
for key in serve_snapshot_keys:
val_bytes = _internal_kv_get(key,
gcs_client) or "{}".encode("utf-8")
deployments_per_controller.append(
json.loads(val_bytes.decode("utf-8")))
# Merge the deployments dicts of all controllers.
deployments: Dict[str, Any] = {
k: v
for d in deployments_per_controller for k, v in d.items()
}
# Replace the keys (deployment names) with their hashes to prevent
# collisions caused by the automatic conversion to camelcase by the
# dashboard agent.
deployments = {
hashlib.sha1(name.encode()).hexdigest(): info
for name, info in deployments.items()
}
return deployments
async def get_session_name(self):
encoded_name = await self._dashboard_head.aioredis_client.get(
"session_name")
return encoded_name.decode()
async def run(self, server):
self._gcs_job_info_stub = gcs_service_pb2_grpc.JobInfoGcsServiceStub(
self._dashboard_head.aiogrpc_gcs_channel)
self._gcs_actor_info_stub = \
gcs_service_pb2_grpc.ActorInfoGcsServiceStub(
self._dashboard_head.aiogrpc_gcs_channel)