| ################################################################################ |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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 pyflink.ml.api.ml_environment_factory import MLEnvironment |
| from pyflink.dataset import ExecutionEnvironment |
| from pyflink.datastream import StreamExecutionEnvironment |
| from pyflink.table import BatchTableEnvironment, StreamTableEnvironment |
| from pyflink.testing.test_case_utils import PyFlinkTestCase |
| |
| |
| class MLEnvironmentTest(PyFlinkTestCase): |
| |
| def test_default_constructor(self): |
| ml_environment = MLEnvironment() |
| self.assertIsNotNone(ml_environment.get_execution_environment()) |
| self.assertIsNotNone(ml_environment.get_stream_execution_environment()) |
| self.assertIsNotNone(ml_environment.get_batch_table_environment()) |
| self.assertIsNotNone(ml_environment.get_stream_table_environment()) |
| |
| def test_construct_with_batch_env(self): |
| execution_environment = ExecutionEnvironment.get_execution_environment() |
| batch_table_environment = BatchTableEnvironment.create(execution_environment) |
| |
| ml_environment = MLEnvironment( |
| exe_env=execution_environment, |
| batch_tab_env=batch_table_environment) |
| self.assertEqual(ml_environment.get_execution_environment(), execution_environment) |
| self.assertEqual(ml_environment.get_batch_table_environment(), batch_table_environment) |
| |
| def test_construct_with_stream_env(self): |
| stream_execution_environment = StreamExecutionEnvironment.get_execution_environment() |
| stream_table_environment = StreamTableEnvironment.create(stream_execution_environment) |
| |
| ml_environment = MLEnvironment( |
| stream_exe_env=stream_execution_environment, |
| stream_tab_env=stream_table_environment) |
| self.assertEqual( |
| ml_environment.get_stream_execution_environment(), |
| stream_execution_environment) |
| self.assertEqual(ml_environment.get_stream_table_environment(), stream_table_environment) |