java - 如何将 2d 数组从 ReactJS 传递到 Java Main？

Question

我有两个程序，一个在 ReactJS 中，一个在 Java 中，需要将 ReactJS 中的 2d 数组传递到我的 Java 主程序中，但没有意识到我无法修改主签名public static void main(String[] args) {}来接受它。

我已经看到过类似的问题，但它们主要是关于在方法内部设置的一般方法周围传递多维数组，但需要传递如下内容：

[["1", "string", "1.0"], ["2", "string", "2.0"]]

...但不能确定我需要什么出去。它只会添加到中间的字符串元素，所以会是这样的：

[["1", "string", "string", "1.0"], ["2", "string", "string", "string", "2.0"]]

所以，重申一下，我怎样才能传入一个二维数组（知道内部数组有多大），然后返回一个二维数组（不知道内部数组有多大）？

我的Java类如下...

import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.neural.rnn.RNNCoreAnnotations;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.sentiment.SentimentCoreAnnotations;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.CoreMap;

import java.util.ArrayList;
import java.util.List;
import java.util.Properties;

/**
 * This class takes a parameter (review) through the main args and runs it through the sentiment analysis.
 * Where necessary, the analysis breaks the review into shorter sentences and scores each one.
 * If devMode is set to TRUE, the detailed output is displayed in the console.
 * The average of the review sentiments are then returned as a type double.
 */
public class SentimentAnalysis {

    private static ArrayList findSentiment(ArrayList<String[]> allReviews) {
        // Set to TRUE to display the breakdown of the output to the console
        boolean devMode = false;

        ArrayList<List> scoredReviewsArray = new ArrayList<>();
        double totalSentimentScore = 0;
        int counter = 1;

        // Setup Stanford Core NLP package
        Properties props = new Properties();
        props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
        StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

        if (devMode) {
            System.out.println("" +
                    "\n==============================================================================================================\n" +
                    "The output shows the sentiment analysis for the comment provided.\n" +
                    "The StanfordCoreNlp algorithm breaks apart the input and rates each section numerically as follows:\n" +
                    "\n" +
                    "\t1 = Negative\n" +
                    "\t2 = Neutral\n" +
                    "\t3 = Positive\n" +
                    "\n" +
                    "The returned value is the average of all the sentiment ratings for the provided comment.\n" +
                    "==============================================================================================================\n"
            );
        }

        for (String[] singleReview : allReviews) {
            ArrayList<String> review = new ArrayList<>();
            String reviewId = singleReview[0];
            review.add(reviewId);

            double sentimentSectionScore;

            String reviewText = singleReview[1];

            if (reviewText != null && reviewText.length() > 0) {

                Annotation annotation = pipeline.process(reviewText);

                for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
                    Tree tree = sentence.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);

                    sentimentSectionScore = RNNCoreAnnotations.getPredictedClass(tree);

                    totalSentimentScore += sentimentSectionScore;

                    if (devMode) {
                        System.out.println("\nSentence " + counter++ + ": " + sentence);
                        System.out.println("Sentiment score: " + sentimentSectionScore);
                        System.out.println("Total sentiment score: " + totalSentimentScore);
                    }

                    review.add(sentence.toString());
                    review.add(String.valueOf(sentimentSectionScore));
                }

                scoredReviewsArray.add(review);
            }
        }

        System.out.println(scoredReviewsArray.toString());

        return scoredReviewsArray;
    }

    public static void main(String[] args) {

        // Test array of review arrays
        String mockReview1[] = {"1", "String 1.1. String 1.2.", ""};
        String mockReview2[] = {"2", "String 2", ""};
        String mockReview3[] = {"3", "String 3", ""};
        ArrayList<String[]> reviews = new ArrayList<>();
        reviews.add(mockReview1);
        reviews.add(mockReview2);
        reviews.add(mockReview3);

        findSentiment(reviews);

    }
}

...我将我的 Java 应用程序包装到一个 Jar 中，以使用子进程传入和检索 ReactJS 中的数据，如下所示：

const exec = require('child_process').spawn('java', ['-jar', './StanfordNlp.jar', allReviews]);

    exec.stdout.on('data', function (data) {
        // Do stuff...
    });

希望这一切都有意义，如果您需要我澄清任何事情，请尽管问。

非常感谢您的帮助。

谢谢！

标签： javaarraysreactjsarraylistmultidimensional-array