| /* |
| * 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. |
| */ |
| package org.apache.beam.sdk.extensions.python.transforms; |
| |
| import java.util.Map; |
| import org.apache.beam.sdk.coders.RowCoder; |
| import org.apache.beam.sdk.extensions.python.PythonExternalTransform; |
| import org.apache.beam.sdk.schemas.Schema; |
| import org.apache.beam.sdk.transforms.PTransform; |
| import org.apache.beam.sdk.util.PythonCallableSource; |
| import org.apache.beam.sdk.values.PCollection; |
| import org.apache.beam.sdk.values.Row; |
| import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap; |
| |
| /** Wrapper for invoking external Python RunInference. */ |
| public class RunInference extends PTransform<PCollection<?>, PCollection<Row>> { |
| private final String modelLoader; |
| private final Schema schema; |
| private final Map<String, Object> kwargs; |
| private final String expansionService; |
| |
| /** |
| * Instantiates a multi-language wrapper for a Python RunInference with a given model loader. |
| * |
| * @param modelLoader A Python callable for a model loader class object. |
| * @param exampleType A schema field type for the example column in output rows. |
| * @param inferenceType A schema field type for the inference column in output rows. |
| * @return A {@link RunInference} for the given model loader. |
| */ |
| public static RunInference of( |
| String modelLoader, Schema.FieldType exampleType, Schema.FieldType inferenceType) { |
| Schema schema = |
| Schema.of( |
| Schema.Field.of("example", exampleType), Schema.Field.of("inference", inferenceType)); |
| return new RunInference(modelLoader, schema, ImmutableMap.of(), ""); |
| } |
| |
| /** |
| * Instantiates a multi-language wrapper for a Python RunInference with a given model loader. |
| * |
| * @param modelLoader A Python callable for a model loader class object. |
| * @param schema A schema for output rows. |
| * @return A {@link RunInference} for the given model loader. |
| */ |
| public static RunInference of(String modelLoader, Schema schema) { |
| return new RunInference(modelLoader, schema, ImmutableMap.of(), ""); |
| } |
| |
| /** |
| * Sets keyword arguments for the model loader. |
| * |
| * @return A {@link RunInference} with keyword arguments. |
| */ |
| public RunInference withKwarg(String key, Object arg) { |
| ImmutableMap.Builder<String, Object> builder = |
| ImmutableMap.<String, Object>builder().putAll(kwargs).put(key, arg); |
| return new RunInference(modelLoader, schema, builder.build(), expansionService); |
| } |
| |
| /** |
| * Sets an expansion service endpoint for RunInference. |
| * |
| * @param expansionService A URL for a Python expansion service. |
| * @return A {@link RunInference} for the given expansion service endpoint. |
| */ |
| public RunInference withExpansionService(String expansionService) { |
| return new RunInference(modelLoader, schema, kwargs, expansionService); |
| } |
| |
| private RunInference( |
| String modelLoader, Schema schema, Map<String, Object> kwargs, String expansionService) { |
| this.modelLoader = modelLoader; |
| this.schema = schema; |
| this.kwargs = kwargs; |
| this.expansionService = expansionService; |
| } |
| |
| @Override |
| public PCollection<Row> expand(PCollection<?> input) { |
| return input.apply( |
| PythonExternalTransform.<PCollection<?>, PCollection<Row>>from( |
| "apache_beam.ml.inference.base.RunInference.from_callable", expansionService) |
| .withKwarg("model_handler_provider", PythonCallableSource.of(modelLoader)) |
| .withKwargs(kwargs) |
| .withOutputCoder(RowCoder.of(schema))); |
| } |
| } |