/*
 * 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.camel.component.djl.model.tabular;

import ai.djl.Model;
import ai.djl.inference.Predictor;
import ai.djl.translate.TranslateException;
import ai.djl.translate.Translator;
import org.apache.camel.Exchange;
import org.apache.camel.RuntimeCamelException;
import org.apache.camel.component.djl.DJLConstants;
import org.apache.camel.component.djl.DJLEndpoint;
import org.apache.camel.component.djl.model.AbstractPredictor;

public class CustomTabularPredictor extends AbstractPredictor {

    protected final String modelName;
    protected final String translatorName;

    public CustomTabularPredictor(DJLEndpoint endpoint) {
        super(endpoint);
        this.modelName = endpoint.getModel();
        this.translatorName = endpoint.getTranslator();
    }

    @Override
    public void process(Exchange exchange) throws Exception {
        Object input = exchange.getIn().getBody();
        Object result = predict(exchange, input);
        exchange.getIn().setBody(result);
    }

    @SuppressWarnings({ "unchecked", "rawtypes" })
    protected Object predict(Exchange exchange, Object input) {
        Model model = exchange.getContext().getRegistry().lookupByNameAndType(modelName, Model.class);
        Translator translator
                = exchange.getContext().getRegistry().lookupByNameAndType(translatorName, Translator.class);

        exchange.getIn().setHeader(DJLConstants.INPUT, input);
        try (Predictor predictor = model.newPredictor(translator)) {
            return predictor.predict(input);
        } catch (TranslateException e) {
            throw new RuntimeCamelException("Could not process input or output", e);
        }
    }
}
