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| 1 | +#!/usr/bin/env python |
| 2 | +# -*- coding: utf-8 -*-- |
| 3 | + |
| 4 | +# Copyright (c) 2024 Oracle and/or its affiliates. |
| 5 | +# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/ |
| 6 | + |
| 7 | +import os |
| 8 | +import unittest |
| 9 | +from unittest.mock import MagicMock, patch |
| 10 | +from importlib import reload |
| 11 | +from notebook.base.handlers import IPythonHandler |
| 12 | + |
| 13 | +import ads.config |
| 14 | +import ads.aqua |
| 15 | +from ads.aqua.extension.deployment_handler import ( |
| 16 | + AquaDeploymentHandler, |
| 17 | + AquaDeploymentInferenceHandler, |
| 18 | +) |
| 19 | +from ads.aqua.deployment import AquaDeploymentApp, MDInferenceResponse |
| 20 | + |
| 21 | + |
| 22 | +class TestDataset: |
| 23 | + USER_COMPARTMENT_ID = "ocid1.compartment.oc1..<USER_COMPARTMENT_OCID>" |
| 24 | + USER_PROJECT_ID = "ocid1.datascienceproject.oc1.iad.<USER_PROJECT_OCID>" |
| 25 | + deployment_request = { |
| 26 | + "model_id": "ocid1.datasciencemodel.oc1.iad.<OCID>", |
| 27 | + "instance_shape": "VM.GPU.A10.1", |
| 28 | + "display_name": "test-deployment-name", |
| 29 | + } |
| 30 | + inference_request = { |
| 31 | + "prompt": "What is 1+1?", |
| 32 | + "endpoint": "https://modeldeployment.customer-oci.com/ocid1.datasciencemodeldeployment.oc1.<region>.<MD_OCID>/predict", |
| 33 | + "model_params": { |
| 34 | + "model": "odsc-llm", |
| 35 | + "max_tokens": 500, |
| 36 | + "temperature": 0.8, |
| 37 | + "top_p": 0.8, |
| 38 | + "top_k": 10, |
| 39 | + }, |
| 40 | + } |
| 41 | + |
| 42 | + |
| 43 | +class TestAquaDeploymentHandler(unittest.TestCase): |
| 44 | + @patch.object(IPythonHandler, "__init__") |
| 45 | + def setUp(self, ipython_init_mock) -> None: |
| 46 | + ipython_init_mock.return_value = None |
| 47 | + self.deployment_handler = AquaDeploymentHandler(MagicMock(), MagicMock()) |
| 48 | + self.deployment_handler.request = MagicMock() |
| 49 | + self.deployment_handler.finish = MagicMock() |
| 50 | + |
| 51 | + @classmethod |
| 52 | + def setUpClass(cls): |
| 53 | + os.environ["PROJECT_COMPARTMENT_OCID"] = TestDataset.USER_COMPARTMENT_ID |
| 54 | + os.environ["PROJECT_OCID"] = TestDataset.USER_PROJECT_ID |
| 55 | + reload(ads.config) |
| 56 | + reload(ads.aqua) |
| 57 | + reload(ads.aqua.extension.deployment_handler) |
| 58 | + |
| 59 | + @classmethod |
| 60 | + def tearDownClass(cls): |
| 61 | + os.environ.pop("PROJECT_COMPARTMENT_OCID", None) |
| 62 | + os.environ.pop("PROJECT_OCID", None) |
| 63 | + reload(ads.config) |
| 64 | + reload(ads.aqua) |
| 65 | + reload(ads.aqua.extension.deployment_handler) |
| 66 | + |
| 67 | + @patch.object(AquaDeploymentApp, "get_deployment_config") |
| 68 | + def test_get_deployment_config(self, mock_get_deployment_config): |
| 69 | + """Test get method to return deployment config""" |
| 70 | + self.deployment_handler.request.path = "aqua/deployments/config" |
| 71 | + self.deployment_handler.get(id="mock-model-id") |
| 72 | + mock_get_deployment_config.assert_called() |
| 73 | + |
| 74 | + @unittest.skip("fix this test after exception handler is updated.") |
| 75 | + @patch("ads.aqua.extension.base_handler.AquaAPIhandler.write_error") |
| 76 | + def test_get_deployment_config_without_id(self, mock_error): |
| 77 | + """Test get method to return deployment config""" |
| 78 | + # todo: exception handler needs to be revisited |
| 79 | + self.deployment_handler.request.path = "aqua/deployments/config" |
| 80 | + mock_error.return_value = MagicMock(status=400) |
| 81 | + result = self.deployment_handler.get(id="") |
| 82 | + mock_error.assert_called_once() |
| 83 | + assert result["status"] == 400 |
| 84 | + |
| 85 | + @patch.object(AquaDeploymentApp, "get") |
| 86 | + def test_get_deployment(self, mock_get): |
| 87 | + """Test get method to return deployment information.""" |
| 88 | + self.deployment_handler.request.path = "aqua/deployments" |
| 89 | + self.deployment_handler.get(id="mock-model-id") |
| 90 | + mock_get.assert_called() |
| 91 | + |
| 92 | + @patch.object(AquaDeploymentApp, "list") |
| 93 | + def test_list_deployment(self, mock_list): |
| 94 | + """Test get method to return a list of model deployments.""" |
| 95 | + self.deployment_handler.request.path = "aqua/deployments" |
| 96 | + self.deployment_handler.get(id="") |
| 97 | + mock_list.assert_called_with( |
| 98 | + compartment_id=TestDataset.USER_COMPARTMENT_ID, project_id=None |
| 99 | + ) |
| 100 | + |
| 101 | + @patch.object(AquaDeploymentApp, "create") |
| 102 | + def test_post(self, mock_create): |
| 103 | + """Test post method to create a model deployment.""" |
| 104 | + self.deployment_handler.get_json_body = MagicMock( |
| 105 | + return_value=TestDataset.deployment_request |
| 106 | + ) |
| 107 | + |
| 108 | + self.deployment_handler.post() |
| 109 | + mock_create.assert_called_with( |
| 110 | + compartment_id=TestDataset.USER_COMPARTMENT_ID, |
| 111 | + project_id=TestDataset.USER_PROJECT_ID, |
| 112 | + model_id=TestDataset.deployment_request["model_id"], |
| 113 | + display_name=TestDataset.deployment_request["display_name"], |
| 114 | + description=None, |
| 115 | + instance_count=None, |
| 116 | + instance_shape=TestDataset.deployment_request["instance_shape"], |
| 117 | + log_group_id=None, |
| 118 | + access_log_id=None, |
| 119 | + predict_log_id=None, |
| 120 | + bandwidth_mbps=None, |
| 121 | + ) |
| 122 | + |
| 123 | + |
| 124 | +class TestAquaDeploymentInferenceHandler(unittest.TestCase): |
| 125 | + @patch.object(IPythonHandler, "__init__") |
| 126 | + def setUp(self, ipython_init_mock) -> None: |
| 127 | + ipython_init_mock.return_value = None |
| 128 | + self.inference_handler = AquaDeploymentInferenceHandler( |
| 129 | + MagicMock(), MagicMock() |
| 130 | + ) |
| 131 | + self.inference_handler.request = MagicMock() |
| 132 | + self.inference_handler.finish = MagicMock() |
| 133 | + |
| 134 | + @patch.object(MDInferenceResponse, "get_model_deployment_response") |
| 135 | + def test_post(self, mock_get_model_deployment_response): |
| 136 | + """Test post method to return model deployment response.""" |
| 137 | + self.inference_handler.get_json_body = MagicMock( |
| 138 | + return_value=TestDataset.inference_request |
| 139 | + ) |
| 140 | + self.inference_handler.post() |
| 141 | + mock_get_model_deployment_response.assert_called_with( |
| 142 | + TestDataset.inference_request["endpoint"] |
| 143 | + ) |
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