基于开源Java服务端文件开发JSP代码实现古兰经语料库形态搜索

Got it, let's walk through rebuilding that morphological search feature for your local Quran corpus setup. Here's a practical, step-by-step solution with code snippets tailored to your needs:

This JSP will handle incoming search requests, extract the query parameter, call your backend Java service, and render results to the user.

<%@ page import="com.yourpackage.SearchService" %>
<%@ page import="java.util.List" %>
<%@ page contentType="text/html;charset=UTF-8" language="java" %>
<html>
<head>
    <title>Quran Morphological Search</title>
    <style>
        .result-table { border-collapse: collapse; width: 80%; margin: 20px auto; }
        .result-table th, .result-table td { border: 1px solid #ddd; padding: 8px; text-align: left; }
        .result-table th { background-color: #f2f2f2; }
        .search-form { text-align: center; margin: 2rem 0; }
        .search-input { padding: 0.5rem; width: 400px; }
        .search-btn { padding: 0.5rem 1rem; cursor: pointer; }
    </style>
</head>
<body>
    <h1 style="text-align: center;">Quran Morphological Search</h1>
    <form class="search-form" method="get" action="search.jsp">
        <input class="search-input" type="text" name="q" placeholder="Enter search query (e.g., root:ktb)">
        <button class="search-btn" type="submit">Search</button>
    </form>

    <%
        String query = request.getParameter("q");
        if (query != null && !query.trim().isEmpty()) {
            SearchService searchService = new SearchService();
            try {
                List<SearchResult> results = searchService.performMorphologicalSearch(query);
    %>
                <h3 style="text-align: center;">Results for: <%= query %></h3>
                <table class="result-table">
                    <tr>
                        <th>Verse Reference</th>
                        <th>Root Word</th>
                        <th>Morphological Analysis</th>
                    </tr>
                    <% for (SearchResult result : results) { %>
                    <tr>
                        <td><%= result.getVerseReference() %></td>
                        <td><%= result.getRootWord() %></td>
                        <td><%= result.getMorphology() %></td>
                    </tr>
                    <% } %>
                </table>
    <%
            } catch (IllegalArgumentException e) {
                out.println("<p style='color: #dc2626; text-align: center;'>" + e.getMessage() + "</p>");
            } catch (Exception e) {
                out.println("<p style='color: #dc2626; text-align: center;'>Unexpected error during search. Please try again.</p>");
                e.printStackTrace();
            }
        }
    %>
</body>
</html>

To keep your JSP clean and separate concerns, create a reusable service class that interfaces with the downloaded open-source corpus code.

First, define a simple SearchResult POJO to structure output data (adjust fields based on what the open-source code returns):

package com.yourpackage;

public class SearchResult {
    private String verseReference;
    private String rootWord;
    private String morphology;

    // Constructor, getters
    public SearchResult(String verseReference, String rootWord, String morphology) {
        this.verseReference = verseReference;
        this.rootWord = rootWord;
        this.morphology = morphology;
    }

    public String getVerseReference() { return verseReference; }
    public String getRootWord() { return rootWord; }
    public String getMorphology() { return morphology; }
}

Then create the SearchService class to handle the core search logic:

package com.yourpackage;

import java.util.ArrayList;
import java.util.List;
// Replace these imports with actual classes from your downloaded open-source code
import com.qurancorpus.morphology.MorphologySearcher;
import com.qurancorpus.model.VerseMatch;

public class SearchService {
    public List<SearchResult> performMorphologicalSearch(String query) throws Exception {
        List<SearchResult> formattedResults = new ArrayList<>();
        
        // Initialize the open-source searcher (match this to the actual API of your corpus code)
        MorphologySearcher corpusSearcher = new MorphologySearcher();
        
        // Parse the query (e.g., split "root:ktb" to extract search type and term)
        String[] querySegments = query.split(":");
        if (querySegments.length != 2) {
            throw new IllegalArgumentException("Invalid query format. Use 'root:yourRootTerm'");
        }
        String searchType = querySegments[0].toLowerCase();
        String searchTerm = querySegments[1].trim();
        
        // Execute search using open-source code (adjust method name to match actual API)
        List<VerseMatch> rawResults;
        if ("root".equals(searchType)) {
            rawResults = corpusSearcher.searchByRoot(searchTerm);
        } else {
            throw new IllegalArgumentException("Unsupported search type. Only 'root:' queries are supported currently.");
        }
        
        // Map raw corpus results to our formatted SearchResult objects
        for (VerseMatch match : rawResults) {
            String verseRef = match.getSurahId() + ":" + match.getVerseId();
            String root = match.getRootLexeme();
            String analysis = match.getMorphologicalBreakdown();
            formattedResults.add(new SearchResult(verseRef, root, analysis));
        }
        
        return formattedResults;
    }
}

• Adjust Imports: Replace com.qurancorpus packages with the actual package names from your downloaded open-source files. Check the corpus code's source or docs for the correct class/method names.
• Dependency Setup: Add all JAR files from the downloaded corpus project to your web app's WEB-INF/lib directory so the classes are available at runtime.
• Expand Features: If the corpus supports other search types (e.g., lemma, part-of-speech), add cases to the searchType check in SearchService to handle them.
• Error Handling: Extend the exception handling to cover edge cases like empty results, corpus database connection issues, or invalid search terms.

内容的提问来源于Stack Exchange，提问作者Ghulam