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How to use set_test_config method in lisa

Best Python code snippet using lisa_python

test_platform.py

Source:test_platform.py

...44        return constants.PLATFORM_MOCK45    @classmethod46    def supported_features(cls) -> List[Type[Feature]]:47        return []48    def set_test_config(49        self,50        return_prepared: bool = True,51        deploy_success: bool = True,52        deployed_status: EnvironmentStatus = EnvironmentStatus.Deployed,53        wait_more_resource_error: bool = False,54    ) -> None:55        self.initialize()56        self._mock_runbook.return_prepared = return_prepared57        self._mock_runbook.deploy_success = deploy_success58        self._mock_runbook.deployed_status = deployed_status59        self._mock_runbook.wait_more_resource_error = wait_more_resource_error60    def _initialize(self, *args: Any, **kwargs: Any) -> None:61        self._mock_runbook: MockPlatformSchema = self.runbook.get_extended_runbook(62            MockPlatformSchema, constants.PLATFORM_MOCK63        )64    def _prepare_environment(self, environment: Environment, log: Logger) -> bool:65        self.test_data.prepared_envs.append(environment.name)66        requirements = environment.runbook.nodes_requirement67        if self._mock_runbook.return_prepared and requirements:68            min_capabilities: List[schema.NodeSpace] = []69            for node_space in requirements:70                min_capabilities.append(node_space.generate_min_capability(node_space))71            environment.runbook.nodes_requirement = min_capabilities72        return self._mock_runbook.return_prepared73    def _deploy_environment(self, environment: Environment, log: Logger) -> None:74        if self._mock_runbook.wait_more_resource_error:75            raise ResourceAwaitableException("any", "wait more resource")76        if not self._mock_runbook.deploy_success:77            raise LisaException("mock deploy failed")78        if self._mock_runbook.return_prepared and environment.runbook.nodes_requirement:79            requirements = environment.runbook.nodes_requirement80            for node_space in requirements:81                environment.create_node_from_requirement(node_requirement=node_space)82        for node in environment.nodes.list():83            node._is_initialized = True84        self.test_data.deployed_envs.append(environment.name)85        if self._mock_runbook.deployed_status not in [86            EnvironmentStatus.Deployed,87            EnvironmentStatus.Connected,88        ]:89            raise LisaException(90                f"expected status is {self._mock_runbook.deployed_status}, "91                f"deployment should be failed"92            )93    def _delete_environment(self, environment: Environment, log: Logger) -> None:94        self.test_data.deleted_envs.append(environment.name)95        self.delete_called = True96def generate_platform(97    keep_environment: Optional[Union[str, bool]] = False,98    admin_password: str = "do not use for real",99    admin_key_file: str = "",100) -> MockPlatform:101    runbook_data = {102        constants.TYPE: constants.PLATFORM_MOCK,103        "keep_environment": keep_environment,104        "admin_password": admin_password,105        "admin_private_key_file": admin_key_file,106    }107    runbook = schema.load_by_type(schema.Platform, runbook_data)108    platform = load_platform([runbook])109    platform.initialize()110    try:111        assert isinstance(platform, MockPlatform), f"actual: {type(platform)}"112    except AssertionError:113        # as UT imported from tests package, instead of from lisa.tests package114        # ignore by assign type from current package115        platform = MockPlatform(runbook)116    return platform117def generate_environments() -> Environments:118    envs_runbook = generate_env_runbook(local=True, requirement=True)119    envs = load_environments(envs_runbook)120    return envs121class PlatformTestCase(TestCase):122    def setUp(self) -> None:123        lisa.environment._global_environment_id = 0124    def test_prepared_env_not_success_with_exception(self) -> None:125        platform = generate_platform()126        platform.set_test_config(return_prepared=False)127        envs = generate_environments()128        self.assertEqual(2, len(envs))129        with self.assertRaises(LisaException) as cm:130            [platform.prepare_environment(env) for env in envs.values()]131        self.assertEqual(132            "no capability found for environment: Environment("133            "name='customized_0', topology='subnet', nodes_raw=[{'type': 'local', "134            "'capability': {'core_count': {'min': 4}}}], nodes_requirement=None, "135            "_original_nodes_requirement=None)",136            str(cm.exception),137        )138    def test_prepared_env_success(self) -> None:139        platform = generate_platform()140        platform.set_test_config(return_prepared=True)141        envs = generate_environments()142        self.assertEqual(2, len(envs))143        prepared_environments = [144            platform.prepare_environment(env) for env in envs.values()145        ]146        self.assertEqual(2, len(prepared_environments))147    def test_prepared_env_sorted_predefined_first(self) -> None:148        platform = generate_platform()149        platform.set_test_config()150        envs = generate_environments()151        # verify init as expected152        self.assertListEqual(["customized_0", "customized_1"], [x for x in envs])153        self.assertListEqual([True, True], [x.is_predefined for x in envs.values()])154        # verify stable sort155        envs["customized_1"].is_predefined = False156        prepared_environments = [157            platform.prepare_environment(env) for env in envs.values()158        ]159        prepared_environments.sort(key=lambda x: (not x.is_predefined, x.cost))160        self.assertListEqual(161            ["customized_0", "customized_1"], [x.name for x in prepared_environments]162        )163        self.assertListEqual(164            [True, False], [x.is_predefined for x in prepared_environments]165        )166        # verify reverse sort167        envs["customized_0"].is_predefined = False168        envs["customized_1"].is_predefined = True169        prepared_environments = [170            platform.prepare_environment(env) for env in envs.values()171        ]172        prepared_environments.sort(key=lambda x: (not x.is_predefined, x.cost))173        self.assertListEqual(174            ["customized_1", "customized_0"],175            [x.name for x in prepared_environments],176        )177        self.assertListEqual(178            [True, False], [x.is_predefined for x in prepared_environments]179        )180    def test_prepared_env_sorted_by_cost(self) -> None:181        platform = generate_platform()182        envs = generate_environments()183        platform.set_test_config()184        self.assertListEqual(["customized_0", "customized_1"], [x for x in envs])185        self.assertListEqual([0, 0], [x.cost for x in envs.values()])186        envs["customized_0"].cost = 1187        envs["customized_1"].cost = 2188        prepared_environments = [189            platform.prepare_environment(env) for env in envs.values()190        ]191        prepared_environments.sort(key=lambda x: (not x.is_predefined, x.cost))192        self.assertListEqual(193            ["customized_0", "customized_1"], [x.name for x in prepared_environments]194        )195        self.assertListEqual([1, 2], [x.cost for x in prepared_environments])196        envs["customized_0"].cost = 2197        envs["customized_1"].cost = 1198        prepared_environments = [199            platform.prepare_environment(env) for env in envs.values()200        ]201        prepared_environments.sort(key=lambda x: (not x.is_predefined, x.cost))202        self.assertListEqual(203            ["customized_1", "customized_0"], [x.name for x in prepared_environments]204        )205        self.assertListEqual([1, 2], [x.cost for x in prepared_environments])206    def test_prepared_env_deploy_failed(self) -> None:207        platform = generate_platform()208        envs = generate_environments()209        platform.set_test_config(deploy_success=False)210        for env in envs.values():211            with self.assertRaises(LisaException) as cm:212                platform.deploy_environment(env)213            self.assertEqual("mock deploy failed", str(cm.exception))214    def test_prepared_env_deleted_not_ready(self) -> None:215        platform = generate_platform()216        envs = generate_environments()217        platform.set_test_config()218        for env in envs.values():219            platform.deploy_environment(env)220            self.assertEqual(EnvironmentStatus.Deployed, env.status)221            platform.delete_environment(env)...

conftest.py

Source:conftest.py

...34# We only load bert-base-uncased, so we fix the random seed to always get the same randomly generated heads on top35@pytest.fixture(scope="class")36def test_transformer_sequence_classification():37    torch.manual_seed(987654321)38    set_test_config(39        model_name=TRANSFORMER_MODEL,40        model_class="sequence_classification",41        disable_gpu=True,42        batch_size=1,43        max_input_size=50,44        model_type="transformer",45    )46    return Transformer()47@pytest.fixture(scope="class")48def test_transformer_sequence_classification_roberta():49    torch.manual_seed(987654321)50    set_test_config(51        model_name=TRANSFORMER_MODEL_ROBERTA,52        model_class="sequence_classification",53        disable_gpu=True,54        batch_size=1,55        max_input_size=50,56        model_type="transformer",57    )58    return Transformer()59@pytest.fixture(scope="class")60def test_transformer_embedding():61    torch.manual_seed(987654321)62    set_test_config(63        model_name=TRANSFORMER_MODEL,64        model_class="base",65        disable_gpu=True,66        batch_size=1,67        max_input_size=50,68        model_type="transformers",69    )70    return Transformer()71@pytest.fixture(scope="class")72def test_transformer_token_classification():73    torch.manual_seed(987654321)74    set_test_config(75        model_name=TRANSFORMER_MODEL,76        model_class="token_classification",77        disable_gpu=True,78        batch_size=1,79        max_input_size=50,80        model_type="transformers",81    )82    return Transformer()83@pytest.fixture(scope="class")84def test_transformer_question_answering():85    torch.manual_seed(987654321)86    set_test_config(87        model_name=TRANSFORMER_MODEL,88        model_class="question_answering",89        disable_gpu=True,90        batch_size=1,91        max_input_size=50,92        model_type="transformers",93    )94    return Transformer()95@pytest.fixture(scope="class")96def test_transformer_explainability():97    torch.manual_seed(987654321)98    set_test_config(99        model_name=TRANSFORMER_MODEL,100        model_class="question_answering",101        disable_gpu=True,102        batch_size=1,103        max_input_size=50,104        model_type="transformers",105    )106    return Transformer()107@pytest.fixture(scope="class")108def test_transformer_explainability_roberta():109    torch.manual_seed(987654321)110    set_test_config(111        model_name=TRANSFORMER_MODEL_ROBERTA,112        model_class="question_answering",113        disable_gpu=True,114        batch_size=1,115        max_input_size=50,116        model_type="transformers",117    )118    return Transformer()119@pytest.fixture(scope="class")120def test_transformer_generation():121    torch.manual_seed(987654321)122    set_test_config(123        model_name=TRANSFORMER_MODEL,124        model_class="generation",125        disable_gpu=True,126        batch_size=1,127        max_input_size=50,128        model_type = "transformers",129    )130    return Transformer()131@pytest.fixture(scope="class")132def test_adapter():133    set_test_config(134        model_name=TRANSFORMER_MODEL,135        disable_gpu=True,136        batch_size=1,137        max_input_size=50,138        cache=TRANSFORMERS_TESTING_CACHE,139        preloaded_adapters=False,140        model_type="adapter",141    )142    return AdapterTransformer()143@pytest.fixture(scope="class")144def test_sentence_transformer():145    set_test_config(146        model_name=SENTENCE_MODEL,147        disable_gpu=True,148        batch_size=1,149        max_input_size=50,150        model_type="sentence-transformer"151    )152    return SentenceTransformer()153@pytest.fixture(scope="class")154def test_onnx_sequence_classification():155    onnx_path = "./onnx_models/german-bert/model.onnx"156    if os.path.isfile(onnx_path):157        set_test_config(158            model_name=ONNX_MODEL,159            disable_gpu=True,160            batch_size=1,161            max_input_size=50,162            onnx_path=onnx_path,163            model_type="onnx",164        )165        return Onnx()166    else:167        return None168@pytest.fixture(scope="class")169def test_onnx_token_classification():170    onnx_path = "./onnx_models\\NER-bert\\model.onnx"171    if os.path.isfile(onnx_path):172        set_test_config(173            model_name=ONNX_MODEL,174            disable_gpu=True,175            batch_size=1,176            max_input_size=50,177            onnx_path=onnx_path,178            model_type="onnx",179        )180        return Onnx()181    else:182        return None183@pytest.fixture(scope="class")184def test_onnx_embedding():185    onnx_path = "./onnx_models/bert-base-cased/model.onnx"186    if os.path.isfile(onnx_path):187        set_test_config(188            model_name=ONNX_MODEL,189            disable_gpu=True,190            batch_size=1,191            max_input_size=50,192            onnx_path=onnx_path,193            model_type="onnx",194        )195        return Onnx()196    else:197        return None198@pytest.fixture(scope="class")199def test_onnx_question_answering():200    onnx_path = "./onnx_models/squad2-bert/model.onnx"201    if os.path.isfile(onnx_path):202        set_test_config(203            model_name=ONNX_MODEL,204            disable_gpu=True,205            batch_size=1,206            max_input_size=50,207            onnx_path=onnx_path,208            model_type="onnx",209        )210        return Onnx()211    else:212        return None213@pytest.fixture(scope="class")214def test_onnx_generation():215    onnx_path = "./onnx_models/t5_encoder_decoder/t5-small-encoder.onnx"216    decoder_init_path = "./onnx_models/t5_encoder_decoder/t5-small-init-decoder.onnx"217    if os.path.isfile(onnx_path):218        set_test_config(219            model_name=ONNX_MODEL,220            disable_gpu=True,221            batch_size=1,222            max_input_size=50,223            onnx_path=onnx_path,224            decoder_path=decoder_init_path,225            model_type="onnx",226        )227        return Onnx()228    else:229        return None230@pytest.fixture()231def prediction_request():232    request = PredictionRequest.parse_obj({...

create_test_config.py

Source:create_test_config.py

...14# See the License for the specific language governing permissions and15# limitations under the License.16import configparser17import sys18def set_test_config(project, instance):19    config = configparser.ConfigParser()20    url = (21        f"spanner+spanner:///projects/{project}/instances/{instance}/"22        "databases/compliance-test"23    )24    config.add_section("db")25    config["db"]["default"] = url26    with open("test.cfg", "w") as configfile:27        config.write(configfile)28def main(argv):29    project = argv[0]30    instance = argv[1]31    set_test_config(project, instance)32if __name__ == "__main__":...

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