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unit_test.py
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# Copyright 2022 IBM, Red Hat
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from pathlib import Path
import sys
import filecmp
import os
import re
from click.testing import CliRunner
import pickle
parent = Path(__file__).resolve().parents[1]
sys.path.append(str(parent) + "/src")
from kubernetes import client, config
from codeflare_sdk.cluster.awload import AWManager
from codeflare_sdk.cluster.cluster import (
Cluster,
ClusterConfiguration,
list_all_clusters,
list_all_queued,
_copy_to_ray,
get_cluster,
_app_wrapper_status,
_ray_cluster_status,
list_clusters_all_namespaces,
)
from codeflare_sdk.cluster.auth import (
TokenAuthentication,
Authentication,
KubeConfigFileAuthentication,
)
from codeflare_sdk.utils.pretty_print import (
print_no_resources_found,
print_app_wrappers_status,
print_cluster_status,
print_clusters,
)
from codeflare_sdk.cluster.model import (
AppWrapper,
RayCluster,
AppWrapperStatus,
RayClusterStatus,
CodeFlareClusterStatus,
)
from codeflare_sdk.job.jobs import (
JobDefinition,
Job,
DDPJobDefinition,
DDPJob,
torchx_runner,
)
from codeflare_sdk.utils.generate_cert import (
generate_ca_cert,
generate_tls_cert,
export_env,
)
from codeflare_sdk.cli.codeflare_cli import cli
from codeflare_sdk.cli.cli_utils import load_auth
import codeflare_sdk.cluster.auth as sdk_auth
import openshift
from openshift.selector import Selector
import ray
from torchx.specs import AppDryRunInfo, AppDef
from torchx.runner import get_runner, Runner
from torchx.schedulers.ray_scheduler import RayJob
from torchx.schedulers.kubernetes_mcad_scheduler import KubernetesMCADJob
import pytest
import yaml
# CLI testing
def test_cli_working():
runner = CliRunner()
result = runner.invoke(cli)
assert result.exit_code == 0
def test_cluster_definition_cli(mocker):
mocker.patch.object(client, "ApiClient")
runner = CliRunner()
define_cluster_command = """
define raycluster
--name=cli-test-cluster
--namespace=default
--min_worker=1
--max_worker=2
--min_cpus=3
--max_cpus=4
--min_memory=5
--max_memory=6
--gpu=7
--instascale=True
--machine_types='["cpu.small", "gpu.large"]'
--image_pull_secrets='["cli-test-pull-secret"]'
"""
result = runner.invoke(cli, define_cluster_command)
assert (
result.output
== "No authentication found, trying default kubeconfig\nWritten to: cli-test-cluster.yaml\n"
)
assert filecmp.cmp(
"cli-test-cluster.yaml", f"{parent}/tests/cli-test-case.yaml", shallow=True
)
def test_login_cli(mocker):
runner = CliRunner()
mocker.patch.object(client, "ApiClient")
k8s_login_command = """
login
--server=testserver:6443
--token=testtoken
"""
login_result = runner.invoke(cli, k8s_login_command)
assert (
login_result.output
== "No authentication found, trying default kubeconfig\nLogged into 'testserver:6443'\n"
)
try:
auth_file_path = os.path.expanduser("~/.codeflare/auth")
with open(auth_file_path, "rb") as file:
auth = pickle.load(file)
except:
assert 0 == 1
assert auth.server == "testserver:6443"
assert auth.token == "testtoken"
assert auth.api_client_config.api_key["authorization"] == "testtoken"
assert auth.api_client_config.verify_ssl
assert auth.api_client_config.host == "testserver:6443"
def test_login_tls_cli(mocker):
runner = CliRunner()
mocker.patch.object(client, "ApiClient")
k8s_tls_login_command = """
login
--server=testserver:6443
--token=testtoken
--insecure-skip-tls-verify=False
"""
k8s_skip_tls_login_command = """
login
--server=testserver:6443
--token=testtoken
--insecure-skip-tls-verify=True
"""
tls_result = runner.invoke(cli, k8s_tls_login_command)
skip_tls_result = runner.invoke(cli, k8s_skip_tls_login_command)
assert (
"Logged into 'testserver:6443'\n" in tls_result.output
and "Logged into 'testserver:6443'\n" in skip_tls_result.output
)
def test_logout_cli(mocker):
runner = CliRunner()
mocker.patch.object(client, "ApiClient")
k8s_logout_command = "logout"
logout_result = runner.invoke(cli, k8s_logout_command)
assert "Successfully logged out of 'testserver:6443'\n" in logout_result.output
assert not os.path.exists(os.path.expanduser("~/.codeflare/auth"))
def test_load_auth():
load_auth()
assert sdk_auth.api_client is not None
def test_cluster_submission_cli(mocker):
mocker.patch.object(client, "ApiClient")
runner = CliRunner()
submit_cluster_command = """
submit raycluster
cli-test-cluster
"""
result = runner.invoke(cli, submit_cluster_command)
assert result.exit_code == 0
assert "Cluster submitted successfully" in result.output
def test_cluster_deletion_cli(mocker):
mocker.patch.object(client, "ApiClient")
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=get_ray_obj,
)
mocker.patch(
"codeflare_sdk.cluster.cluster.get_current_namespace",
return_value="ns",
)
runner = CliRunner()
delete_cluster_command = """
delete raycluster
quicktest --namespace=default
"""
result = runner.invoke(cli, delete_cluster_command)
assert result.exit_code == 0
assert "Cluster deleted successfully" in result.output
def test_list_clusters_all_namespaces(mocker, capsys):
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
side_effect=get_ray_obj_no_namespace,
)
list_clusters_all_namespaces()
captured = capsys.readouterr()
assert captured.out == (
" 🚀 CodeFlare Cluster Details 🚀 \n"
" \n"
" ╭──────────────────────────────────────────────────────────────╮ \n"
" │ Name │ \n"
" │ quicktest Active ✅ │ \n"
" │ │ \n"
" │ URI: ray://quicktest-head-svc.ns.svc:10001 │ \n"
" │ │ \n"
" │ Dashboard🔗 │ \n"
" │ │ \n"
" │ Cluster Resources │ \n"
" │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n"
" │ │ Min Max │ │ Memory CPU GPU │ │ \n"
" │ │ │ │ │ │ \n"
" │ │ 1 1 │ │ 2G~2G 1 0 │ │ \n"
" │ │ │ │ │ │ \n"
" │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n"
" ╰──────────────────────────────────────────────────────────────╯ \n"
)
def test_raycluster_details_cli(mocker):
runner = CliRunner()
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=get_ray_obj,
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.status",
return_value=(False, CodeFlareClusterStatus.UNKNOWN),
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri",
return_value="",
)
mocker.patch.object(client, "ApiClient")
raycluster_details_command = """
details raycluster quicktest --namespace=default
"""
result = runner.invoke(cli, raycluster_details_command)
quicktest_details = (
" ╭──────────────────────────────────────────────────────────────╮ \n"
+ " │ Name │ \n"
+ " │ quicktest Inactive ❌ │ \n"
+ " │ │ \n"
+ " │ URI: ray://quicktest-head-svc.ns.svc:10001 │ \n"
+ " │ │ \n"
+ " │ Dashboard🔗 │ \n"
+ " │ │ \n"
+ " │ Cluster Resources │ \n"
+ " │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n"
+ " │ │ Min Max │ │ Memory CPU GPU │ │ \n"
+ " │ │ │ │ │ │ \n"
+ " │ │ 1 1 │ │ 2~2 1 0 │ │ \n"
+ " │ │ │ │ │ │ \n"
+ " │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n"
+ " ╰──────────────────────────────────────────────────────────────╯ "
)
assert quicktest_details in result.output
def test_raycluster_status_cli(mocker):
runner = CliRunner()
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=get_ray_obj,
)
mocker.patch(
"codeflare_sdk.cluster.cluster.get_current_namespace",
return_value="ns",
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri",
return_value="",
)
mocker.patch.object(client, "ApiClient")
test_raycluster = RayCluster(
"quicktest",
RayClusterStatus.READY,
1,
1,
"1",
"1",
1,
1,
"default",
"dashboard-url",
)
mocker.patch(
"codeflare_sdk.cluster.cluster._app_wrapper_status",
return_value=test_raycluster,
)
mocker.patch(
"codeflare_sdk.cluster.cluster._ray_cluster_status",
return_value=test_raycluster,
)
raycluster_status_command = """
status raycluster quicktest --namespace=default
"""
result = runner.invoke(cli, raycluster_status_command)
assert "Active" in result.output
def test_raycluster_list_cli(mocker):
runner = CliRunner()
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=get_ray_obj,
)
mocker.patch(
"codeflare_sdk.cluster.cluster.get_current_namespace",
return_value="ns",
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.status",
return_value=(False, CodeFlareClusterStatus.UNKNOWN),
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri",
return_value="",
)
mocker.patch.object(client, "ApiClient")
list_rayclusters_command = """
list rayclusters --namespace=ns
"""
result = runner.invoke(cli, list_rayclusters_command)
assert (
" ╭──────────────────────────────────────────────────────────────╮ \n"
+ " │ Name │ \n"
+ " │ quicktest Active ✅ │ \n"
+ " │ │ \n"
+ " │ URI: ray://quicktest-head-svc.ns.svc:10001 │ \n"
+ " │ │ \n"
+ " │ Dashboard🔗 │ \n"
+ " │ │ \n"
+ " │ Cluster Resources │ \n"
+ " │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n"
+ " │ │ Min Max │ │ Memory CPU GPU │ │ \n"
+ " │ │ │ │ │ │ \n"
+ " │ │ 1 1 │ │ 2G~2G 1 0 │ │ \n"
+ " │ │ │ │ │ │ \n"
+ " │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n"
+ " ╰──────────────────────────────────────────────────────────────╯ "
) in result.output
# For mocking openshift client results
fake_res = openshift.Result("fake")
def arg_side_effect(*args):
fake_res.high_level_operation = args
return fake_res
def att_side_effect(self):
return self.high_level_operation
def test_token_auth_creation():
try:
token_auth = TokenAuthentication(token="token", server="server")
assert token_auth.token == "token"
assert token_auth.server == "server"
assert token_auth.skip_tls == False
assert token_auth.ca_cert_path == None
token_auth = TokenAuthentication(token="token", server="server", skip_tls=True)
assert token_auth.token == "token"
assert token_auth.server == "server"
assert token_auth.skip_tls == True
assert token_auth.ca_cert_path == None
token_auth = TokenAuthentication(token="token", server="server", skip_tls=False)
assert token_auth.token == "token"
assert token_auth.server == "server"
assert token_auth.skip_tls == False
assert token_auth.ca_cert_path == None
token_auth = TokenAuthentication(
token="token", server="server", skip_tls=False, ca_cert_path="path/to/cert"
)
assert token_auth.token == "token"
assert token_auth.server == "server"
assert token_auth.skip_tls == False
assert token_auth.ca_cert_path == "path/to/cert"
except Exception:
assert 0 == 1
def test_token_auth_login_logout(mocker):
mocker.patch.object(client, "ApiClient")
token_auth = TokenAuthentication(
token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
)
assert token_auth.login() == ("Logged into testserver:6443")
assert token_auth.logout() == ("Successfully logged out of testserver:6443")
def test_token_auth_login_tls(mocker):
mocker.patch.object(client, "ApiClient")
token_auth = TokenAuthentication(
token="testtoken", server="testserver:6443", skip_tls=True, ca_cert_path=None
)
assert token_auth.login() == ("Logged into testserver:6443")
token_auth = TokenAuthentication(
token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
)
assert token_auth.login() == ("Logged into testserver:6443")
token_auth = TokenAuthentication(
token="testtoken",
server="testserver:6443",
skip_tls=False,
ca_cert_path="path/to/cert",
)
assert token_auth.login() == ("Logged into testserver:6443")
def test_load_kube_config(mocker):
mocker.patch.object(config, "load_kube_config")
kube_config_auth = KubeConfigFileAuthentication(
kube_config_path="/path/to/your/config"
)
response = kube_config_auth.load_kube_config()
assert (
response
== "Loaded user config file at path %s" % kube_config_auth.kube_config_path
)
def test_auth_coverage():
abstract = Authentication()
abstract.login()
abstract.logout()
def test_config_creation():
config = ClusterConfiguration(
name="unit-test-cluster",
namespace="ns",
min_worker=1,
max_worker=2,
min_cpus=3,
max_cpus=4,
min_memory=5,
max_memory=6,
gpu=7,
instascale=True,
machine_types=["cpu.small", "gpu.large"],
image_pull_secrets=["unit-test-pull-secret"],
)
assert config.name == "unit-test-cluster" and config.namespace == "ns"
assert config.min_worker == 1 and config.max_worker == 2
assert config.min_cpus == 3 and config.max_cpus == 4
assert config.min_memory == 5 and config.max_memory == 6
assert config.gpu == 7
assert config.image == "quay.io/project-codeflare/ray:2.5.0-py38-cu116"
assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml"
assert config.instascale
assert config.machine_types == ["cpu.small", "gpu.large"]
assert config.image_pull_secrets == ["unit-test-pull-secret"]
return config
def test_cluster_creation():
cluster = Cluster(test_config_creation())
assert cluster.app_wrapper_yaml == "unit-test-cluster.yaml"
assert cluster.app_wrapper_name == "unit-test-cluster"
assert filecmp.cmp(
"unit-test-cluster.yaml", f"{parent}/tests/test-case.yaml", shallow=True
)
return cluster
def test_default_cluster_creation(mocker):
mocker.patch(
"codeflare_sdk.cluster.cluster.get_current_namespace",
return_value="opendatahub",
)
default_config = ClusterConfiguration(
name="unit-test-default-cluster",
)
cluster = Cluster(default_config)
assert cluster.app_wrapper_yaml == "unit-test-default-cluster.yaml"
assert cluster.app_wrapper_name == "unit-test-default-cluster"
assert cluster.config.namespace == "opendatahub"
return cluster
def arg_check_apply_effect(group, version, namespace, plural, body, *args):
assert group == "mcad.ibm.com"
assert version == "v1beta1"
assert namespace == "ns"
assert plural == "appwrappers"
with open("unit-test-cluster.yaml") as f:
aw = yaml.load(f, Loader=yaml.FullLoader)
assert body == aw
assert args == tuple()
def arg_check_del_effect(group, version, namespace, plural, name, *args):
assert group == "mcad.ibm.com"
assert version == "v1beta1"
assert namespace == "ns"
assert plural == "appwrappers"
assert name == "unit-test-cluster"
assert args == tuple()
def test_cluster_up_down(mocker):
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
side_effect=arg_check_apply_effect,
)
mocker.patch(
"kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
side_effect=arg_check_del_effect,
)
cluster = test_cluster_creation()
cluster.up()
cluster.down()
def aw_status_fields(group, version, namespace, plural, *args):
assert group == "mcad.ibm.com"
assert version == "v1beta1"
assert namespace == "test-ns"
assert plural == "appwrappers"
assert args == tuple()
return {"items": []}
def test_aw_status(mocker):
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=aw_status_fields,
)
aw = _app_wrapper_status("test-aw", "test-ns")
assert aw == None
def rc_status_fields(group, version, namespace, plural, *args):
assert group == "ray.io"
assert version == "v1alpha1"
assert namespace == "test-ns"
assert plural == "rayclusters"
assert args == tuple()
return {"items": []}
def test_rc_status(mocker):
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=rc_status_fields,
)
rc = _ray_cluster_status("test-rc", "test-ns")
assert rc == None
def uri_retreival(group, version, namespace, plural, *args):
assert group == "route.openshift.io"
assert version == "v1"
assert namespace == "ns"
assert plural == "routes"
assert args == tuple()
return {
"items": [
{
"metadata": {"name": "ray-dashboard-unit-test-cluster"},
"spec": {
"host": "ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
},
}
]
}
def test_cluster_uris(mocker):
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=uri_retreival,
)
cluster = test_cluster_creation()
assert cluster.cluster_uri() == "ray://unit-test-cluster-head-svc.ns.svc:10001"
assert (
cluster.cluster_dashboard_uri()
== "http://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
)
cluster.config.name = "fake"
assert (
cluster.cluster_dashboard_uri()
== "Dashboard route not available yet, have you run cluster.up()?"
)
def test_local_client_url(mocker):
mocker.patch(
"kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
return_value={"spec": {"domain": ""}},
)
mocker.patch(
"codeflare_sdk.cluster.cluster._get_ingress_domain",
return_value="apps.cluster.awsroute.org",
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.create_app_wrapper",
return_value="unit-test-cluster-localinter.yaml",
)
cluster_config = ClusterConfiguration(
name="unit-test-cluster-localinter", namespace="ns", local_interactive=True
)
cluster = Cluster(cluster_config)
assert (
cluster.local_client_url()
== "ray://rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org"
)
def ray_addr(self, *args):
return self._address
def test_ray_job_wrapping(mocker):
mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
mocker.patch(
"kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
side_effect=uri_retreival,
)
cluster = test_cluster_creation()
mocker.patch(
"ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url",
return_value="None",
)
mock_res = mocker.patch.object(
ray.job_submission.JobSubmissionClient, "list_jobs", autospec=True
)
mock_res.side_effect = ray_addr
assert cluster.list_jobs() == cluster.cluster_dashboard_uri()
mock_res = mocker.patch.object(
ray.job_submission.JobSubmissionClient, "get_job_status", autospec=True
)
mock_res.side_effect = ray_addr
assert cluster.job_status("fake_id") == cluster.cluster_dashboard_uri()
mock_res = mocker.patch.object(
ray.job_submission.JobSubmissionClient, "get_job_logs", autospec=True
)
mock_res.side_effect = ray_addr
assert cluster.job_logs("fake_id") == cluster.cluster_dashboard_uri()
def test_print_no_resources(capsys):
try:
print_no_resources_found()
except:
assert 1 == 0
captured = capsys.readouterr()
assert captured.out == (
"╭──────────────────────────────────────────────────────────────────────────────╮\n"
"│ No resources found, have you run cluster.up() yet? │\n"
"╰──────────────────────────────────────────────────────────────────────────────╯\n"
)
def test_print_no_cluster(capsys):
try:
print_cluster_status(None)
except:
assert 1 == 0
captured = capsys.readouterr()
assert captured.out == (
"╭──────────────────────────────────────────────────────────────────────────────╮\n"
"│ No resources found, have you run cluster.up() yet? │\n"
"╰──────────────────────────────────────────────────────────────────────────────╯\n"
)
def test_print_appwrappers(capsys):
aw1 = AppWrapper(
name="awtest1",
status=AppWrapperStatus.PENDING,
can_run=False,
job_state="queue-state",
)
aw2 = AppWrapper(
name="awtest2",
status=AppWrapperStatus.RUNNING,
can_run=False,
job_state="queue-state",
)
try:
print_app_wrappers_status([aw1, aw2])
except:
assert 1 == 0
captured = capsys.readouterr()
assert captured.out == (
"╭───────────────────────╮\n"
"│ 🚀 Cluster Queue │\n"
"│ Status 🚀 │\n"
"│ +---------+---------+ │\n"
"│ | Name | Status | │\n"
"│ +=========+=========+ │\n"
"│ | awtest1 | pending | │\n"
"│ | | | │\n"
"│ | awtest2 | running | │\n"
"│ | | | │\n"
"│ +---------+---------+ │\n"
"╰───────────────────────╯\n"
)
def test_ray_details(mocker, capsys):
ray1 = RayCluster(
name="raytest1",
status=RayClusterStatus.READY,
min_workers=1,
max_workers=1,
worker_mem_min=2,
worker_mem_max=2,
worker_cpu=1,
worker_gpu=0,
namespace="ns",
dashboard="fake-uri",
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.status",
return_value=(False, CodeFlareClusterStatus.UNKNOWN),
)
mocker.patch(
"codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri",
return_value="",
)
cf = Cluster(ClusterConfiguration(name="raytest2", namespace="ns"))
captured = capsys.readouterr()
ray2 = _copy_to_ray(cf)
details = cf.details()
assert details == ray2
assert ray2.name == "raytest2"
assert ray1.namespace == ray2.namespace
assert ray1.min_workers == ray2.min_workers
assert ray1.max_workers == ray2.max_workers
assert ray1.worker_mem_min == ray2.worker_mem_min
assert ray1.worker_mem_max == ray2.worker_mem_max
assert ray1.worker_cpu == ray2.worker_cpu
assert ray1.worker_gpu == ray2.worker_gpu
try:
print_clusters([ray1, ray2])
print_cluster_status(ray1)
print_cluster_status(ray2)
except:
assert 0 == 1
captured = capsys.readouterr()
assert captured.out == (
" 🚀 CodeFlare Cluster Details 🚀 \n"
" \n"
" ╭──────────────────────────────────────────────────────────────╮ \n"
" │ Name │ \n"
" │ raytest2 Inactive ❌ │ \n"
" │ │ \n"
" │ URI: ray://raytest2-head-svc.ns.svc:10001 │ \n"
" │ │ \n"
" │ Dashboard🔗 │ \n"
" │ │ \n"
" │ Cluster Resources │ \n"
" │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n"
" │ │ Min Max │ │ Memory CPU GPU │ │ \n"
" │ │ │ │ │ │ \n"
" │ │ 1 1 │ │ 2~2 1 0 │ │ \n"
" │ │ │ │ │ │ \n"
" │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n"
" ╰──────────────────────────────────────────────────────────────╯ \n"
" 🚀 CodeFlare Cluster Details 🚀 \n"
" \n"
" ╭──────────────────────────────────────────────────────────────╮ \n"
" │ Name │ \n"
" │ raytest1 Active ✅ │ \n"
" │ │ \n"
" │ URI: ray://raytest1-head-svc.ns.svc:10001 │ \n"
" │ │ \n"
" │ Dashboard🔗 │ \n"
" │ │ \n"
" │ Cluster Resources │ \n"
" │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n"
" │ │ Min Max │ │ Memory CPU GPU │ │ \n"
" │ │ │ │ │ │ \n"
" │ │ 1 1 │ │ 2~2 1 0 │ │ \n"
" │ │ │ │ │ │ \n"
" │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n"
" ╰──────────────────────────────────────────────────────────────╯ \n"
"╭──────────────────────────────────────────────────────────────╮\n"
"│ Name │\n"
"│ raytest2 Inactive ❌ │\n"
"│ │\n"
"│ URI: ray://raytest2-head-svc.ns.svc:10001 │\n"
"│ │\n"
"│ Dashboard🔗 │\n"
"│ │\n"
"│ Cluster Resources │\n"
"│ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │\n"
"│ │ Min Max │ │ Memory CPU GPU │ │\n"
"│ │ │ │ │ │\n"
"│ │ 1 1 │ │ 2~2 1 0 │ │\n"
"│ │ │ │ │ │\n"
"│ ╰────────────╯ ╰──────────────────────────────────────╯ │\n"
"╰──────────────────────────────────────────────────────────────╯\n"
" 🚀 CodeFlare Cluster Status 🚀 \n"
" \n"
" ╭──────────────────────────────────────────────────────────╮ \n"
" │ Name │ \n"
" │ raytest1 Active ✅ │ \n"
" │ │ \n"
" │ URI: ray://raytest1-head-svc.ns.svc:10001 │ \n"
" │ │ \n"
" │ Dashboard🔗 │ \n"
" │ │ \n"
" ╰──────────────────────────────────────────────────────────╯ \n"
" 🚀 CodeFlare Cluster Status 🚀 \n"
" \n"
" ╭────────────────────────────────────────────────────────────╮ \n"
" │ Name │ \n"
" │ raytest2 Inactive ❌ │ \n"
" │ │ \n"
" │ URI: ray://raytest2-head-svc.ns.svc:10001 │ \n"
" │ │ \n"
" │ Dashboard🔗 │ \n"
" │ │ \n"
" ╰────────────────────────────────────────────────────────────╯ \n"
)
def act_side_effect_list(self):
print([self])
self.out = str(self.high_level_operation)
return [self]
def get_obj_none(group, version, namespace, plural):
return {"items": []}
def get_ray_obj(group, version, namespace, plural, cls=None):
api_obj = {
"items": [
{
"apiVersion": "ray.io/v1alpha1",
"kind": "RayCluster",
"metadata": {
"creationTimestamp": "2023-02-22T16:26:07Z",
"generation": 1,
"labels": {
"appwrapper.mcad.ibm.com": "quicktest",
"controller-tools.k8s.io": "1.0",
"resourceName": "quicktest",
"orderedinstance": "m4.xlarge_g4dn.xlarge",
},
"managedFields": [
{
"apiVersion": "ray.io/v1alpha1",
"fieldsType": "FieldsV1",
"fieldsV1": {
"f:metadata": {
"f:labels": {
".": {},
"f:appwrapper.mcad.ibm.com": {},
"f:controller-tools.k8s.io": {},
"f:resourceName": {},
},
"f:ownerReferences": {
".": {},
'k:{"uid":"6334fc1b-471e-4876-8e7b-0b2277679235"}': {},
},
},
"f:spec": {
".": {},
"f:autoscalerOptions": {
".": {},
"f:idleTimeoutSeconds": {},
"f:imagePullPolicy": {},
"f:resources": {
".": {},
"f:limits": {
".": {},
"f:cpu": {},
"f:memory": {},
},
"f:requests": {
".": {},
"f:cpu": {},
"f:memory": {},
},
},
"f:upscalingMode": {},
},
"f:enableInTreeAutoscaling": {},
"f:headGroupSpec": {
".": {},
"f:rayStartParams": {
".": {},
"f:block": {},
"f:dashboard-host": {},
"f:num-gpus": {},
},
"f:serviceType": {},
"f:template": {
".": {},
"f:spec": {".": {}, "f:containers": {}},
},
},
"f:rayVersion": {},
"f:workerGroupSpecs": {},
},
},
"manager": "mcad-controller",
"operation": "Update",
"time": "2023-02-22T16:26:07Z",
},
{
"apiVersion": "ray.io/v1alpha1",
"fieldsType": "FieldsV1",
"fieldsV1": {
"f:status": {
".": {},
"f:availableWorkerReplicas": {},
"f:desiredWorkerReplicas": {},
"f:endpoints": {
".": {},
"f:client": {},
"f:dashboard": {},
"f:gcs": {},
},
"f:lastUpdateTime": {},
"f:maxWorkerReplicas": {},
"f:minWorkerReplicas": {},
"f:state": {},
}
},
"manager": "manager",
"operation": "Update",
"subresource": "status",
"time": "2023-02-22T16:26:16Z",
},
],
"name": "quicktest",
"namespace": "ns",
"ownerReferences": [
{
"apiVersion": "mcad.ibm.com/v1beta1",
"blockOwnerDeletion": True,
"controller": True,
"kind": "AppWrapper",
"name": "quicktest",
"uid": "6334fc1b-471e-4876-8e7b-0b2277679235",
}
],
"resourceVersion": "9482407",
"uid": "44d45d1f-26c8-43e7-841f-831dbd8c1285",
},
"spec": {
"autoscalerOptions": {
"idleTimeoutSeconds": 60,
"imagePullPolicy": "Always",