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

This PR moves the sdk to its own folder, then includes everything in `import ray.autoscaler.sdk` in ray's import path. Note: that there were circular dependencies in naively doing this because the ray core now uses constants that were defined in the autoscaler for internal kv operations (and the autoscaler similarly calls into the ray core). The solution was to move those internal kv keys into ray core constants so the imports flow (more) one way. Co-authored-by: Alex Wu <alex@anyscale.com>
679 lines
24 KiB
Python
679 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._private.gcs_pubsub import gcs_pubsub_enabled
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from ray.ray_constants 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.optional_utils as dashboard_optional_utils
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import ray.dashboard.modules
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from ray._private.gcs_utils import use_gcs_for_bootstrap
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logger = logging.getLogger(__name__)
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routes = dashboard_optional_utils.ClassMethodRouteTable
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def make_gcs_client(address_info):
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if not use_gcs_for_bootstrap():
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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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else:
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address = address_info["gcs_address"]
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gcs_client = ray._private.gcs_utils.GcsClient(address=address)
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return gcs_client
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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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gcs_client = make_gcs_client(address_info)
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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 kv keys are set.
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logger.info("Check kv keys are set.")
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dashboard_address = ray.experimental.internal_kv._internal_kv_get(
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ray_constants.DASHBOARD_ADDRESS,
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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.DASHBOARD_RPC_ADDRESS,
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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_optional_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_optional_utils.ClassMethodRouteTable.bound_routes(
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)
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assert len(bound_routes) == 0
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dashboard_optional_utils.ClassMethodRouteTable.bind(
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test_agent_cls.__new__(test_agent_cls))
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bound_routes = dashboard_optional_utils.ClassMethodRouteTable.bound_routes(
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)
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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_optional_utils.ClassMethodRouteTable.bound_routes(
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)
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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():
|
|
response = requests.get(f"{webui_url}/api/cluster_status")
|
|
response.raise_for_status()
|
|
print(response.json())
|
|
assert response.json()["result"]
|
|
assert "autoscalingStatus" in response.json()["data"]
|
|
assert "autoscalingError" in response.json()["data"]
|
|
assert response.json()["data"]["autoscalingError"] is None
|
|
assert "clusterStatus" in response.json()["data"]
|
|
assert "loadMetricsReport" in response.json()["data"]["clusterStatus"]
|
|
|
|
assert wait_until_succeeded_without_exception(
|
|
get_cluster_status, (requests.RequestException, ))
|
|
|
|
gcs_client = make_gcs_client(address_info)
|
|
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_optional_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_optional_utils.rest_response(True, "OK", data=immutable_dict)
|
|
dashboard_optional_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
|
|
gcs_client = make_gcs_client(address_info)
|
|
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_info['redis_address']}",
|
|
f"--redis-password={ray_constants.REDIS_DEFAULT_PASSWORD}",
|
|
f"--gcs-address={address_info['gcs_address']}"
|
|
]
|
|
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.DASHBOARD_ADDRESS,
|
|
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()
|
|
if gcs_pubsub_enabled():
|
|
# When pubsub enabled, the exits comes from pubsub errored.
|
|
# TODO: Fix this exits logic for pubsub
|
|
assert dashboard_proc.wait(10) != 0
|
|
else:
|
|
# The dashboard exits by os._exit(-1)
|
|
assert dashboard_proc.wait(10) == 255
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(pytest.main(["-v", __file__]))
|