From 9f07ba8a0c009c97af5888b9fdfe1852206a1087 Mon Sep 17 00:00:00 2001
From: wei-chenglai <qazwsx0939059006@gmail.com>
Date: Sun, 22 Sep 2024 22:08:53 -0400
Subject: [PATCH] [SDK] test: add unit test for list_jobs method of the
 training_client

Signed-off-by: wei-chenglai <qazwsx0939059006@gmail.com>
---
 .../training/api/training_client_test.py      | 118 ++++++++++++++++++
 1 file changed, 118 insertions(+)

diff --git a/sdk/python/kubeflow/training/api/training_client_test.py b/sdk/python/kubeflow/training/api/training_client_test.py
index 2e147c5e35..ea8c495032 100644
--- a/sdk/python/kubeflow/training/api/training_client_test.py
+++ b/sdk/python/kubeflow/training/api/training_client_test.py
@@ -70,6 +70,30 @@ def get_namespaced_custom_object_response(*args, **kwargs):
     return mock_thread
 
 
+def list_namespaced_custom_object_response(*args, **kwargs):
+    if args[2] == TIMEOUT:
+        raise multiprocessing.TimeoutError()
+    elif args[2] == RUNTIME:
+        raise RuntimeError()
+    elif args[2] == "empty-namespace":
+        mock_response = {"items": []}
+    elif args[2] == "multi-jobs":
+        mock_response = {
+            "items": [
+                serialize_k8s_object(generate_job_with_status(create_job())),
+                serialize_k8s_object(generate_job_with_status(create_job())),
+            ]
+        }
+    else:
+        mock_response = {
+            "items": [serialize_k8s_object(generate_job_with_status(create_job()))]
+        }
+
+    mock_thread = Mock()
+    mock_thread.get.return_value = mock_response
+    return mock_thread
+
+
 def list_namespaced_pod_response(*args, **kwargs):
     class MockResponse:
         def get(self, timeout):
@@ -482,6 +506,74 @@ def __init__(self, kind) -> None:
     ),
 ]
 
+test_data_list_jobs = [
+    (
+        "valid flow with default namespace and default timeout",
+        {},
+        SUCCESS,
+        [generate_job_with_status(create_job())],
+    ),
+    (
+        "valid flow with all parameters set",
+        {
+            "namespace": TEST_NAME,
+            "job_kind": constants.PYTORCHJOB_KIND,
+            "timeout": 120,
+        },
+        SUCCESS,
+        [generate_job_with_status(create_job())],
+    ),
+    (
+        "valid flow with empty job list",
+        {
+            "namespace": "empty-namespace",
+        },
+        SUCCESS,
+        [],
+    ),
+    (
+        "valid flow with multiple jobs",
+        {
+            "namespace": "multi-jobs",
+        },
+        SUCCESS,
+        [
+            generate_job_with_status(create_job()),
+            generate_job_with_status(create_job()),
+        ],
+    ),
+    (
+        "invalid flow with default namespace and a Job that doesn't exist",
+        {"job_kind": constants.TFJOB_KIND},
+        RuntimeError,
+        None,
+    ),
+    (
+        "invalid flow with incorrect parameter",
+        {"test": "example"},
+        TypeError,
+        None,
+    ),
+    (
+        "invalid flow with incorrect job_kind value",
+        {"job_kind": "FailJob"},
+        ValueError,
+        None,
+    ),
+    (
+        "runtime error case",
+        {"namespace": RUNTIME},
+        RuntimeError,
+        None,
+    ),
+    (
+        "timeout error case",
+        {"namespace": TIMEOUT},
+        TimeoutError,
+        None,
+    ),
+]
+
 
 test_data_delete_job = [
     (
@@ -854,6 +946,9 @@ def training_client():
             get_namespaced_custom_object=Mock(
                 side_effect=get_namespaced_custom_object_response
             ),
+            list_namespaced_custom_object=Mock(
+                side_effect=list_namespaced_custom_object_response
+            ),
         ),
     ), patch(
         "kubernetes.client.CoreV1Api",
@@ -1109,3 +1204,26 @@ def test_is_job_succeeded(training_client, test_name, kwargs, expected_output):
         assert type(e) is expected_output
 
     print("test execution complete")
+
+
+@pytest.mark.parametrize(
+    "test_name,kwargs,expected_status,expected_response", test_data_list_jobs
+)
+def test_list_jobs(
+    training_client, test_name, kwargs, expected_status, expected_response
+):
+    """
+    test list_jobs function of training client
+    """
+    print("Executing test: ", test_name)
+    try:
+        resp = training_client.list_jobs(**kwargs)
+        assert expected_status == SUCCESS
+        assert isinstance(resp, list)
+        assert len(resp) == len(expected_response)
+        for actual_job, expected_job in zip(resp, expected_response):
+            assert actual_job.to_dict() == expected_job.to_dict()
+    except Exception as e:
+        assert type(e) is expected_status
+
+    print("test execution complete")