|
| 1 | +import requests |
| 2 | + |
| 3 | +from time import sleep |
| 4 | + |
| 5 | +from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication |
| 6 | +from codeflare_sdk.job import RayJobClient |
| 7 | + |
| 8 | +import pytest |
| 9 | + |
| 10 | +from support import * |
| 11 | + |
| 12 | +# This test creates an AppWrapper containing a Ray Cluster and covers the Ray Job submission functionality on Kind Cluster |
| 13 | + |
| 14 | + |
| 15 | +@pytest.mark.kind |
| 16 | +class TestRayClusterSDKAppWrapperKind: |
| 17 | + def setup_method(self): |
| 18 | + initialize_kubernetes_client(self) |
| 19 | + |
| 20 | + def teardown_method(self): |
| 21 | + delete_namespace(self) |
| 22 | + |
| 23 | + def test_mnist_ray_cluster_sdk_kind(self): |
| 24 | + self.setup_method() |
| 25 | + create_namespace(self) |
| 26 | + create_kueue_resources(self) |
| 27 | + self.run_mnist_raycluster_sdk_kind() |
| 28 | + |
| 29 | + def run_mnist_raycluster_sdk_kind(self): |
| 30 | + ray_image = get_ray_image() |
| 31 | + |
| 32 | + cluster = Cluster( |
| 33 | + ClusterConfiguration( |
| 34 | + name="mnist", |
| 35 | + namespace=self.namespace, |
| 36 | + num_workers=1, |
| 37 | + head_cpus="500m", |
| 38 | + head_memory=2, |
| 39 | + min_cpus="500m", |
| 40 | + max_cpus=1, |
| 41 | + min_memory=1, |
| 42 | + max_memory=2, |
| 43 | + num_gpus=0, |
| 44 | + image=ray_image, |
| 45 | + write_to_file=True, |
| 46 | + verify_tls=False, |
| 47 | + appwrapper=True, |
| 48 | + ) |
| 49 | + ) |
| 50 | + |
| 51 | + cluster.up() |
| 52 | + |
| 53 | + cluster.status() |
| 54 | + |
| 55 | + cluster.wait_ready() |
| 56 | + |
| 57 | + cluster.status() |
| 58 | + |
| 59 | + cluster.details() |
| 60 | + |
| 61 | + self.assert_jobsubmit_withoutlogin_kind(cluster) |
| 62 | + |
| 63 | + # Assertions |
| 64 | + |
| 65 | + def assert_jobsubmit_withoutlogin_kind(self, cluster): |
| 66 | + ray_dashboard = cluster.cluster_dashboard_uri() |
| 67 | + client = RayJobClient(address=ray_dashboard, verify=False) |
| 68 | + |
| 69 | + submission_id = client.submit_job( |
| 70 | + entrypoint="python mnist.py", |
| 71 | + runtime_env={ |
| 72 | + "working_dir": "./tests/e2e/", |
| 73 | + "pip": "./tests/e2e/mnist_pip_requirements.txt", |
| 74 | + }, |
| 75 | + ) |
| 76 | + print(f"Submitted job with ID: {submission_id}") |
| 77 | + done = False |
| 78 | + time = 0 |
| 79 | + timeout = 900 |
| 80 | + while not done: |
| 81 | + status = client.get_job_status(submission_id) |
| 82 | + if status.is_terminal(): |
| 83 | + break |
| 84 | + if not done: |
| 85 | + print(status) |
| 86 | + if timeout and time >= timeout: |
| 87 | + raise TimeoutError(f"job has timed out after waiting {timeout}s") |
| 88 | + sleep(5) |
| 89 | + time += 5 |
| 90 | + |
| 91 | + logs = client.get_job_logs(submission_id) |
| 92 | + print(logs) |
| 93 | + |
| 94 | + self.assert_job_completion(status) |
| 95 | + |
| 96 | + client.delete_job(submission_id) |
| 97 | + |
| 98 | + cluster.down() |
| 99 | + |
| 100 | + def assert_job_completion(self, status): |
| 101 | + if status == "SUCCEEDED": |
| 102 | + print(f"Job has completed: '{status}'") |
| 103 | + assert True |
| 104 | + else: |
| 105 | + print(f"Job has completed: '{status}'") |
| 106 | + assert False |
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