mirror of
https://github.com/vale981/ray
synced 2025-03-06 10:31:39 -05:00

## Why are these changes needed? This is part of redis removal project. In this PR all direct usage of redis got removed except function table. Function table will be migrated in the next PR ## Related issue number #19443
676 lines
24 KiB
Python
676 lines
24 KiB
Python
import os
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import sys
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import copy
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import json
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import time
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import logging
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import asyncio
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import ipaddress
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import subprocess
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import collections
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import numpy as np
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import aiohttp.web
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import ray
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import psutil
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import pytest
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import redis
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import requests
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from ray import ray_constants
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from ray._private.test_utils import (
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format_web_url, wait_for_condition, wait_until_server_available,
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run_string_as_driver, wait_until_succeeded_without_exception)
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from ray.autoscaler._private.util import (DEBUG_AUTOSCALING_STATUS_LEGACY,
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DEBUG_AUTOSCALING_ERROR)
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from ray.dashboard import dashboard
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import ray.dashboard.consts as dashboard_consts
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import ray.dashboard.utils as dashboard_utils
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import ray.dashboard.modules
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logger = logging.getLogger(__name__)
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routes = dashboard_utils.ClassMethodRouteTable
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def cleanup_test_files():
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module_path = ray.dashboard.modules.__path__[0]
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filename = os.path.join(module_path, "test_for_bad_import.py")
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logger.info("Remove test file: %s", filename)
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try:
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os.remove(filename)
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except Exception:
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pass
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def prepare_test_files():
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module_path = ray.dashboard.modules.__path__[0]
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filename = os.path.join(module_path, "test_for_bad_import.py")
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logger.info("Prepare test file: %s", filename)
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with open(filename, "w") as f:
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f.write(">>>")
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cleanup_test_files()
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@pytest.mark.parametrize(
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"ray_start_with_dashboard", [{
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"_system_config": {
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"agent_register_timeout_ms": 5000
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}
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}],
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indirect=True)
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def test_basic(ray_start_with_dashboard):
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"""Dashboard test that starts a Ray cluster with a dashboard server running,
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then hits the dashboard API and asserts that it receives sensible data."""
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assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
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is True)
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address_info = ray_start_with_dashboard
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node_id = address_info["node_id"]
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address = address_info["redis_address"]
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address = address.split(":")
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assert len(address) == 2
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client = redis.StrictRedis(
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host=address[0],
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port=int(address[1]),
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password=ray_constants.REDIS_DEFAULT_PASSWORD)
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gcs_client = ray._private.gcs_utils.GcsClient.create_from_redis(client)
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ray.experimental.internal_kv._initialize_internal_kv(gcs_client)
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all_processes = ray.worker._global_node.all_processes
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assert ray_constants.PROCESS_TYPE_DASHBOARD in all_processes
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assert ray_constants.PROCESS_TYPE_REPORTER not in all_processes
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dashboard_proc_info = all_processes[ray_constants.PROCESS_TYPE_DASHBOARD][
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0]
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dashboard_proc = psutil.Process(dashboard_proc_info.process.pid)
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assert dashboard_proc.status() in [
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psutil.STATUS_RUNNING, psutil.STATUS_SLEEPING, psutil.STATUS_DISK_SLEEP
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]
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raylet_proc_info = all_processes[ray_constants.PROCESS_TYPE_RAYLET][0]
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raylet_proc = psutil.Process(raylet_proc_info.process.pid)
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def _search_agent(processes):
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for p in processes:
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try:
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for c in p.cmdline():
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if os.path.join("dashboard", "agent.py") in c:
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return p
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except Exception:
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pass
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# Test for bad imports, the agent should be restarted.
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logger.info("Test for bad imports.")
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agent_proc = _search_agent(raylet_proc.children())
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prepare_test_files()
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agent_pids = set()
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try:
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assert agent_proc is not None
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agent_proc.kill()
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agent_proc.wait()
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# The agent will be restarted for imports failure.
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for _ in range(300):
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agent_proc = _search_agent(raylet_proc.children())
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if agent_proc:
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agent_pids.add(agent_proc.pid)
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# The agent should be restarted,
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# so we can break if the len(agent_pid) > 1
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if len(agent_pids) > 1:
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break
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time.sleep(0.1)
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finally:
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cleanup_test_files()
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assert len(agent_pids) > 1, agent_pids
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agent_proc = _search_agent(raylet_proc.children())
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if agent_proc:
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agent_proc.kill()
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agent_proc.wait()
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logger.info("Test agent register is OK.")
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wait_for_condition(lambda: _search_agent(raylet_proc.children()))
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assert dashboard_proc.status() in [
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psutil.STATUS_RUNNING, psutil.STATUS_SLEEPING
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]
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agent_proc = _search_agent(raylet_proc.children())
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agent_pid = agent_proc.pid
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# Check if agent register is OK.
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for x in range(5):
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logger.info("Check agent is alive.")
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agent_proc = _search_agent(raylet_proc.children())
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assert agent_proc.pid == agent_pid
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time.sleep(1)
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# The agent should be dead if raylet exits.
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raylet_proc.kill()
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raylet_proc.wait()
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agent_proc.wait(5)
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# Check redis keys are set.
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logger.info("Check redis keys are set.")
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dashboard_address = ray.experimental.internal_kv._internal_kv_get(
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ray_constants.REDIS_KEY_DASHBOARD,
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namespace=ray_constants.KV_NAMESPACE_DASHBOARD)
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assert dashboard_address is not None
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dashboard_rpc_address = ray.experimental.internal_kv._internal_kv_get(
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dashboard_consts.REDIS_KEY_DASHBOARD_RPC,
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namespace=ray_constants.KV_NAMESPACE_DASHBOARD)
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assert dashboard_rpc_address is not None
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key = f"{dashboard_consts.DASHBOARD_AGENT_PORT_PREFIX}{node_id}"
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agent_ports = ray.experimental.internal_kv._internal_kv_get(
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key, namespace=ray_constants.KV_NAMESPACE_DASHBOARD)
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assert agent_ports is not None
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@pytest.mark.parametrize(
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"ray_start_with_dashboard", [{
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"dashboard_host": "127.0.0.1"
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}, {
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"dashboard_host": "0.0.0.0"
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}, {
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"dashboard_host": "::"
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}],
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indirect=True)
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def test_dashboard_address(ray_start_with_dashboard):
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webui_url = ray_start_with_dashboard["webui_url"]
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webui_ip = webui_url.split(":")[0]
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assert not ipaddress.ip_address(webui_ip).is_unspecified
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assert webui_ip in [
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"127.0.0.1", ray_start_with_dashboard["node_ip_address"]
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]
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def test_http_get(enable_test_module, ray_start_with_dashboard):
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assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
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is True)
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webui_url = ray_start_with_dashboard["webui_url"]
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webui_url = format_web_url(webui_url)
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target_url = webui_url + "/test/dump"
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timeout_seconds = 30
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start_time = time.time()
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while True:
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time.sleep(3)
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try:
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response = requests.get(webui_url + "/test/http_get?url=" +
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target_url)
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response.raise_for_status()
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try:
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dump_info = response.json()
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except Exception as ex:
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logger.info("failed response: %s", response.text)
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raise ex
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assert dump_info["result"] is True
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dump_data = dump_info["data"]
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assert len(dump_data["agents"]) == 1
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node_id, ports = next(iter(dump_data["agents"].items()))
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ip = ray_start_with_dashboard["node_ip_address"]
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http_port, grpc_port = ports
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response = requests.get(
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f"http://{ip}:{http_port}"
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f"/test/http_get_from_agent?url={target_url}")
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response.raise_for_status()
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try:
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dump_info = response.json()
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except Exception as ex:
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logger.info("failed response: %s", response.text)
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raise ex
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assert dump_info["result"] is True
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break
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except (AssertionError, requests.exceptions.ConnectionError) as e:
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logger.info("Retry because of %s", e)
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finally:
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if time.time() > start_time + timeout_seconds:
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raise Exception("Timed out while testing.")
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def test_class_method_route_table(enable_test_module):
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head_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardHeadModule)
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agent_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardAgentModule)
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test_head_cls = None
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for cls in head_cls_list:
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if cls.__name__ == "TestHead":
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test_head_cls = cls
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break
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assert test_head_cls is not None
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test_agent_cls = None
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for cls in agent_cls_list:
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if cls.__name__ == "TestAgent":
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test_agent_cls = cls
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break
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assert test_agent_cls is not None
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def _has_route(route, method, path):
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if isinstance(route, aiohttp.web.RouteDef):
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if route.method == method and route.path == path:
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return True
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return False
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def _has_static(route, path, prefix):
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if isinstance(route, aiohttp.web.StaticDef):
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if route.path == path and route.prefix == prefix:
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return True
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return False
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all_routes = dashboard_utils.ClassMethodRouteTable.routes()
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assert any(_has_route(r, "HEAD", "/test/route_head") for r in all_routes)
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assert any(_has_route(r, "GET", "/test/route_get") for r in all_routes)
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assert any(_has_route(r, "POST", "/test/route_post") for r in all_routes)
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assert any(_has_route(r, "PUT", "/test/route_put") for r in all_routes)
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assert any(_has_route(r, "PATCH", "/test/route_patch") for r in all_routes)
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assert any(
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_has_route(r, "DELETE", "/test/route_delete") for r in all_routes)
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assert any(_has_route(r, "*", "/test/route_view") for r in all_routes)
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# Test bind()
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bound_routes = dashboard_utils.ClassMethodRouteTable.bound_routes()
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assert len(bound_routes) == 0
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dashboard_utils.ClassMethodRouteTable.bind(
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test_agent_cls.__new__(test_agent_cls))
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bound_routes = dashboard_utils.ClassMethodRouteTable.bound_routes()
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assert any(_has_route(r, "POST", "/test/route_post") for r in bound_routes)
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assert all(
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not _has_route(r, "PUT", "/test/route_put") for r in bound_routes)
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# Static def should be in bound routes.
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routes.static("/test/route_static", "/path")
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bound_routes = dashboard_utils.ClassMethodRouteTable.bound_routes()
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assert any(
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_has_static(r, "/path", "/test/route_static") for r in bound_routes)
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# Test duplicated routes should raise exception.
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try:
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@routes.get("/test/route_get")
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def _duplicated_route(req):
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pass
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raise Exception("Duplicated routes should raise exception.")
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except Exception as ex:
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message = str(ex)
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assert "/test/route_get" in message
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assert "test_head.py" in message
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# Test exception in handler
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post_handler = None
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for r in bound_routes:
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if _has_route(r, "POST", "/test/route_post"):
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post_handler = r.handler
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break
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assert post_handler is not None
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loop = asyncio.get_event_loop()
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r = loop.run_until_complete(post_handler())
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assert r.status == 200
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resp = json.loads(r.body)
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assert resp["result"] is False
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assert "Traceback" in resp["msg"]
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def test_async_loop_forever():
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counter = [0]
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@dashboard_utils.async_loop_forever(interval_seconds=0.1)
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async def foo():
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counter[0] += 1
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raise Exception("Test exception")
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loop = asyncio.get_event_loop()
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loop.create_task(foo())
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loop.call_later(1, loop.stop)
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loop.run_forever()
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assert counter[0] > 2
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counter2 = [0]
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task = None
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@dashboard_utils.async_loop_forever(interval_seconds=0.1, cancellable=True)
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async def bar():
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nonlocal task
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counter2[0] += 1
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if counter2[0] > 2:
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task.cancel()
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loop = asyncio.new_event_loop()
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task = loop.create_task(bar())
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with pytest.raises(asyncio.CancelledError):
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loop.run_until_complete(task)
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assert counter2[0] == 3
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def test_dashboard_module_decorator(enable_test_module):
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head_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardHeadModule)
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agent_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardAgentModule)
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assert any(cls.__name__ == "TestHead" for cls in head_cls_list)
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assert any(cls.__name__ == "TestAgent" for cls in agent_cls_list)
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test_code = """
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import os
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import ray.dashboard.utils as dashboard_utils
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os.environ.pop("RAY_DASHBOARD_MODULE_TEST")
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head_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardHeadModule)
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agent_cls_list = dashboard_utils.get_all_modules(
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dashboard_utils.DashboardAgentModule)
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print(head_cls_list)
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print(agent_cls_list)
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assert all(cls.__name__ != "TestHead" for cls in head_cls_list)
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assert all(cls.__name__ != "TestAgent" for cls in agent_cls_list)
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print("success")
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"""
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run_string_as_driver(test_code)
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def test_aiohttp_cache(enable_test_module, ray_start_with_dashboard):
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assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
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is True)
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webui_url = ray_start_with_dashboard["webui_url"]
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webui_url = format_web_url(webui_url)
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timeout_seconds = 5
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start_time = time.time()
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value1_timestamps = []
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while True:
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time.sleep(1)
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try:
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for x in range(10):
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response = requests.get(webui_url +
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"/test/aiohttp_cache/t1?value=1")
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response.raise_for_status()
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timestamp = response.json()["data"]["timestamp"]
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value1_timestamps.append(timestamp)
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assert len(collections.Counter(value1_timestamps)) > 1
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break
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except (AssertionError, requests.exceptions.ConnectionError) as e:
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logger.info("Retry because of %s", e)
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finally:
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if time.time() > start_time + timeout_seconds:
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raise Exception("Timed out while testing.")
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sub_path_timestamps = []
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for x in range(10):
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response = requests.get(webui_url +
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f"/test/aiohttp_cache/tt{x}?value=1")
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response.raise_for_status()
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timestamp = response.json()["data"]["timestamp"]
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sub_path_timestamps.append(timestamp)
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assert len(collections.Counter(sub_path_timestamps)) == 10
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volatile_value_timestamps = []
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for x in range(10):
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response = requests.get(webui_url +
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f"/test/aiohttp_cache/tt?value={x}")
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response.raise_for_status()
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timestamp = response.json()["data"]["timestamp"]
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volatile_value_timestamps.append(timestamp)
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assert len(collections.Counter(volatile_value_timestamps)) == 10
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response = requests.get(webui_url + "/test/aiohttp_cache/raise_exception")
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response.raise_for_status()
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result = response.json()
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assert result["result"] is False
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assert "KeyError" in result["msg"]
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volatile_value_timestamps = []
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for x in range(10):
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response = requests.get(webui_url +
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f"/test/aiohttp_cache_lru/tt{x % 4}")
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response.raise_for_status()
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timestamp = response.json()["data"]["timestamp"]
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volatile_value_timestamps.append(timestamp)
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assert len(collections.Counter(volatile_value_timestamps)) == 4
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volatile_value_timestamps = []
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data = collections.defaultdict(set)
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for x in [0, 1, 2, 3, 4, 5, 2, 1, 0, 3]:
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response = requests.get(webui_url +
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f"/test/aiohttp_cache_lru/t1?value={x}")
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response.raise_for_status()
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timestamp = response.json()["data"]["timestamp"]
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data[x].add(timestamp)
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volatile_value_timestamps.append(timestamp)
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assert len(collections.Counter(volatile_value_timestamps)) == 8
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assert len(data[3]) == 2
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assert len(data[0]) == 2
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def test_get_cluster_status(ray_start_with_dashboard):
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assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
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is True)
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address_info = ray_start_with_dashboard
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webui_url = address_info["webui_url"]
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webui_url = format_web_url(webui_url)
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# Check that the cluster_status endpoint works without the underlying data
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# from the GCS, but returns nothing.
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def get_cluster_status():
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response = requests.get(f"{webui_url}/api/cluster_status")
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response.raise_for_status()
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print(response.json())
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assert response.json()["result"]
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assert "autoscalingStatus" in response.json()["data"]
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assert "autoscalingError" in response.json()["data"]
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assert response.json()["data"]["autoscalingError"] is None
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assert "clusterStatus" in response.json()["data"]
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assert "loadMetricsReport" in response.json()["data"]["clusterStatus"]
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wait_until_succeeded_without_exception(get_cluster_status,
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(requests.RequestException, ))
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# Populate the GCS field, check that the data is returned from the
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# endpoint.
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address = address_info["redis_address"]
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address = address.split(":")
|
|
assert len(address) == 2
|
|
|
|
client = redis.StrictRedis(
|
|
host=address[0],
|
|
port=int(address[1]),
|
|
password=ray_constants.REDIS_DEFAULT_PASSWORD)
|
|
gcs_client = ray._private.gcs_utils.GcsClient.create_from_redis(client)
|
|
ray.experimental.internal_kv._initialize_internal_kv(gcs_client)
|
|
ray.experimental.internal_kv._internal_kv_put(
|
|
DEBUG_AUTOSCALING_STATUS_LEGACY, "hello")
|
|
ray.experimental.internal_kv._internal_kv_put(DEBUG_AUTOSCALING_ERROR,
|
|
"world")
|
|
|
|
response = requests.get(f"{webui_url}/api/cluster_status")
|
|
response.raise_for_status()
|
|
assert response.json()["result"]
|
|
assert "autoscalingStatus" in response.json()["data"]
|
|
assert response.json()["data"]["autoscalingStatus"] == "hello"
|
|
assert "autoscalingError" in response.json()["data"]
|
|
assert response.json()["data"]["autoscalingError"] == "world"
|
|
assert "clusterStatus" in response.json()["data"]
|
|
assert "loadMetricsReport" in response.json()["data"]["clusterStatus"]
|
|
|
|
|
|
def test_immutable_types():
|
|
d = {str(i): i for i in range(1000)}
|
|
d["list"] = list(range(1000))
|
|
d["list"][0] = {str(i): i for i in range(1000)}
|
|
d["dict"] = {str(i): i for i in range(1000)}
|
|
immutable_dict = dashboard_utils.make_immutable(d)
|
|
assert type(immutable_dict) == dashboard_utils.ImmutableDict
|
|
assert immutable_dict == dashboard_utils.ImmutableDict(d)
|
|
assert immutable_dict == d
|
|
assert dashboard_utils.ImmutableDict(immutable_dict) == immutable_dict
|
|
assert dashboard_utils.ImmutableList(
|
|
immutable_dict["list"]) == immutable_dict["list"]
|
|
assert "512" in d
|
|
assert "512" in d["list"][0]
|
|
assert "512" in d["dict"]
|
|
|
|
# Test type conversion
|
|
assert type(dict(immutable_dict)["list"]) == dashboard_utils.ImmutableList
|
|
assert type(list(
|
|
immutable_dict["list"])[0]) == dashboard_utils.ImmutableDict
|
|
|
|
# Test json dumps / loads
|
|
json_str = json.dumps(immutable_dict, cls=dashboard_utils.CustomEncoder)
|
|
deserialized_immutable_dict = json.loads(json_str)
|
|
assert type(deserialized_immutable_dict) == dict
|
|
assert type(deserialized_immutable_dict["list"]) == list
|
|
assert immutable_dict.mutable() == deserialized_immutable_dict
|
|
dashboard_utils.rest_response(True, "OK", data=immutable_dict)
|
|
dashboard_utils.rest_response(True, "OK", **immutable_dict)
|
|
|
|
# Test copy
|
|
copy_of_immutable = copy.copy(immutable_dict)
|
|
assert copy_of_immutable == immutable_dict
|
|
deepcopy_of_immutable = copy.deepcopy(immutable_dict)
|
|
assert deepcopy_of_immutable == immutable_dict
|
|
|
|
# Test get default immutable
|
|
immutable_default_value = immutable_dict.get("not exist list", [1, 2])
|
|
assert type(immutable_default_value) == dashboard_utils.ImmutableList
|
|
|
|
# Test recursive immutable
|
|
assert type(immutable_dict["list"]) == dashboard_utils.ImmutableList
|
|
assert type(immutable_dict["dict"]) == dashboard_utils.ImmutableDict
|
|
assert type(immutable_dict["list"][0]) == dashboard_utils.ImmutableDict
|
|
|
|
# Test exception
|
|
with pytest.raises(TypeError):
|
|
dashboard_utils.ImmutableList((1, 2))
|
|
|
|
with pytest.raises(TypeError):
|
|
dashboard_utils.ImmutableDict([1, 2])
|
|
|
|
with pytest.raises(TypeError):
|
|
immutable_dict["list"] = []
|
|
|
|
with pytest.raises(AttributeError):
|
|
immutable_dict.update({1: 3})
|
|
|
|
with pytest.raises(TypeError):
|
|
immutable_dict["list"][0] = 0
|
|
|
|
with pytest.raises(AttributeError):
|
|
immutable_dict["list"].extend([1, 2])
|
|
|
|
with pytest.raises(AttributeError):
|
|
immutable_dict["list"].insert(1, 2)
|
|
|
|
d2 = dashboard_utils.ImmutableDict({1: np.zeros([3, 5])})
|
|
with pytest.raises(TypeError):
|
|
print(d2[1])
|
|
|
|
d3 = dashboard_utils.ImmutableList([1, np.zeros([3, 5])])
|
|
with pytest.raises(TypeError):
|
|
print(d3[1])
|
|
|
|
|
|
def test_http_proxy(enable_test_module, set_http_proxy, shutdown_only):
|
|
address_info = ray.init(num_cpus=1, include_dashboard=True)
|
|
assert (wait_until_server_available(address_info["webui_url"]) is True)
|
|
|
|
webui_url = address_info["webui_url"]
|
|
webui_url = format_web_url(webui_url)
|
|
|
|
timeout_seconds = 10
|
|
start_time = time.time()
|
|
while True:
|
|
time.sleep(1)
|
|
try:
|
|
response = requests.get(
|
|
webui_url + "/test/dump",
|
|
proxies={
|
|
"http": None,
|
|
"https": None
|
|
})
|
|
response.raise_for_status()
|
|
try:
|
|
response.json()
|
|
assert response.ok
|
|
except Exception as ex:
|
|
logger.info("failed response: %s", response.text)
|
|
raise ex
|
|
break
|
|
except (AssertionError, requests.exceptions.ConnectionError) as e:
|
|
logger.info("Retry because of %s", e)
|
|
finally:
|
|
if time.time() > start_time + timeout_seconds:
|
|
raise Exception("Timed out while testing.")
|
|
|
|
|
|
def test_dashboard_port_conflict(ray_start_with_dashboard):
|
|
assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
|
|
is True)
|
|
address_info = ray_start_with_dashboard
|
|
address = address_info["redis_address"]
|
|
address = address.split(":")
|
|
assert len(address) == 2
|
|
|
|
client = redis.StrictRedis(
|
|
host=address[0],
|
|
port=int(address[1]),
|
|
password=ray_constants.REDIS_DEFAULT_PASSWORD)
|
|
gcs_client = ray._private.gcs_utils.GcsClient.create_from_redis(client)
|
|
ray.experimental.internal_kv._initialize_internal_kv(gcs_client)
|
|
host, port = address_info["webui_url"].split(":")
|
|
temp_dir = "/tmp/ray"
|
|
log_dir = "/tmp/ray/session_latest/logs"
|
|
dashboard_cmd = [
|
|
sys.executable, dashboard.__file__, f"--host={host}", f"--port={port}",
|
|
f"--temp-dir={temp_dir}", f"--log-dir={log_dir}",
|
|
f"--redis-address={address[0]}:{address[1]}",
|
|
f"--redis-password={ray_constants.REDIS_DEFAULT_PASSWORD}"
|
|
]
|
|
logger.info("The dashboard should be exit: %s", dashboard_cmd)
|
|
p = subprocess.Popen(dashboard_cmd)
|
|
p.wait(5)
|
|
|
|
dashboard_cmd.append("--port-retries=10")
|
|
subprocess.Popen(dashboard_cmd)
|
|
|
|
timeout_seconds = 10
|
|
start_time = time.time()
|
|
while True:
|
|
time.sleep(1)
|
|
try:
|
|
dashboard_url = ray.experimental.internal_kv._internal_kv_get(
|
|
ray_constants.REDIS_KEY_DASHBOARD,
|
|
namespace=ray_constants.KV_NAMESPACE_DASHBOARD)
|
|
if dashboard_url:
|
|
new_port = int(dashboard_url.split(b":")[-1])
|
|
assert new_port > int(port)
|
|
break
|
|
except AssertionError as e:
|
|
logger.info("Retry because of %s", e)
|
|
finally:
|
|
if time.time() > start_time + timeout_seconds:
|
|
raise Exception("Timed out while testing.")
|
|
|
|
|
|
def test_gcs_check_alive(fast_gcs_failure_detection, ray_start_with_dashboard):
|
|
assert (wait_until_server_available(ray_start_with_dashboard["webui_url"])
|
|
is True)
|
|
|
|
all_processes = ray.worker._global_node.all_processes
|
|
dashboard_info = all_processes[ray_constants.PROCESS_TYPE_DASHBOARD][0]
|
|
dashboard_proc = psutil.Process(dashboard_info.process.pid)
|
|
gcs_server_info = all_processes[ray_constants.PROCESS_TYPE_GCS_SERVER][0]
|
|
gcs_server_proc = psutil.Process(gcs_server_info.process.pid)
|
|
|
|
assert dashboard_proc.status() in [
|
|
psutil.STATUS_RUNNING, psutil.STATUS_SLEEPING, psutil.STATUS_DISK_SLEEP
|
|
]
|
|
|
|
gcs_server_proc.kill()
|
|
gcs_server_proc.wait()
|
|
# The dashboard exits by os._exit(-1)
|
|
assert dashboard_proc.wait(10) == 255
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(pytest.main(["-v", __file__]))
|