feat(project): 正确提交project文件夹及所有源码

project/DataCleaner.java

@@ -0,0 +1,103 @@
+package com.project.util;
+
+import com.project.model.PostInfo;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class DataCleaner {
+    
+    public static List<PostInfo> cleanPosts(List<PostInfo> rawPosts) {
+        List<PostInfo> cleanedPosts = new ArrayList<>();
+        
+        for (PostInfo post : rawPosts) {
+            PostInfo cleaned = cleanPost(post);
+            if (isValidPost(cleaned)) {
+                cleanedPosts.add(cleaned);
+            }
+        }
+        
+        System.out.println("数据清洗完成，有效数据: " + cleanedPosts.size() + " 条");
+        return cleanedPosts;
+    }
+    
+    private static PostInfo cleanPost(PostInfo post) {
+        PostInfo cleaned = new PostInfo();
+        
+        cleaned.setTitle(cleanText(post.getTitle()));
+        cleaned.setContent(cleanContent(post.getContent()));
+        cleaned.setAuthor(cleanText(post.getAuthor()));
+        cleaned.setPostDate(post.getPostDate());
+        cleaned.setLikeCount(post.getLikeCount());
+        cleaned.setCommentCount(post.getCommentCount());
+        cleaned.setViewCount(post.getViewCount());
+        cleaned.setTags(cleanText(post.getTags()));
+        cleaned.setSentiment(normalizeSentiment(post.getSentiment()));
+        
+        return cleaned;
+    }
+    
+    private static String cleanText(String text) {
+        if (text == null) {
+            return "";
+        }
+        return text.trim().replaceAll("\\s+", " ");
+    }
+    
+    private static String cleanContent(String content) {
+        if (content == null) {
+            return "";
+        }
+        return content.trim()
+                .replaceAll("\\s+", " ")
+                .replaceAll("[\\r\\n]+", " ")
+                .replaceAll("<[^>]+>", "")
+                .replaceAll("\\[.*?\\]", "")
+                .replaceAll("\\(.*?\\)", "");
+    }
+    
+    private static String normalizeSentiment(String sentiment) {
+        if (sentiment == null || sentiment.isEmpty()) {
+            return "中性";
+        }
+        
+        String lower = sentiment.toLowerCase();
+        if (lower.contains("积极") || lower.contains("正面") || lower.contains("positive")) {
+            return "积极";
+        } else if (lower.contains("消极") || lower.contains("负面") || lower.contains("negative")) {
+            return "消极";
+        } else {
+            return "中性";
+        }
+    }
+    
+    private static boolean isValidPost(PostInfo post) {
+        return post.getTitle() != null && !post.getTitle().isEmpty() &&
+               post.getContent() != null && !post.getContent().isEmpty();
+    }
+    
+    public static String[] extractKeywords(String content) {
+        if (content == null || content.isEmpty()) {
+            return new String[0];
+        }
+        
+        String[] commonKeywords = {
+            "数据", "分析", "学习", "技术", "互联网", "发展", "趋势",
+            "工具", "方法", "实践", "经验", "案例", "应用", "创新",
+            "挑战", "机遇", "未来", "智能", "算法", "模型", "平台"
+        };
+        
+        List<String> keywords = new ArrayList<>();
+        String lowerContent = content.toLowerCase();
+        
+        for (String keyword : commonKeywords) {
+            if (lowerContent.contains(keyword.toLowerCase())) {
+                keywords.add(keyword);
+            }
+        }
+        
+        return keywords.toArray(new String[0]);
+    }
+}

project/DataStorage.java

@@ -0,0 +1,125 @@
+package com.project.storage;
+
+import com.project.model.PostInfo;
+
+import java.io.BufferedWriter;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.List;
+
+public class DataStorage {
+    
+    public static void saveToCSV(List<PostInfo> posts, String directory) {
+        if (posts == null || posts.isEmpty()) {
+            System.out.println("没有数据需要保存");
+            return;
+        }
+        
+        try {
+            java.nio.file.Path dirPath = Paths.get(directory);
+            if (!Files.exists(dirPath)) {
+                Files.createDirectories(dirPath);
+            }
+            
+            String timestamp = LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyyMMdd_HHmmss"));
+            String filename = "posts_" + timestamp + ".csv";
+            java.nio.file.Path filePath = dirPath.resolve(filename);
+            
+            try (BufferedWriter writer = new BufferedWriter(
+                    new FileWriter(filePath.toFile(), StandardCharsets.UTF_8))) {
+                
+                writer.write("\uFEFF");
+                writer.write("标题,内容,作者,发布日期,点赞数,评论数,浏览量,标签,情感倾向\n");
+                
+                for (PostInfo post : posts) {
+                    writer.write(post.toCSV());
+                    writer.write("\n");
+                }
+            }
+            
+            System.out.println("数据已保存到: " + filePath.toAbsolutePath());
+            
+        } catch (IOException e) {
+            System.err.println("保存CSV文件时出错: " + e.getMessage());
+        }
+    }
+    
+    public static void saveToJSON(List<PostInfo> posts, String directory) {
+        if (posts == null || posts.isEmpty()) {
+            System.out.println("没有数据需要保存");
+            return;
+        }
+        
+        try {
+            java.nio.file.Path dirPath = Paths.get(directory);
+            if (!Files.exists(dirPath)) {
+                Files.createDirectories(dirPath);
+            }
+            
+            String timestamp = LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyyMMdd_HHmmss"));
+            String filename = "posts_" + timestamp + ".json";
+            java.nio.file.Path filePath = dirPath.resolve(filename);
+            
+            try (BufferedWriter writer = new BufferedWriter(
+                    new FileWriter(filePath.toFile(), StandardCharsets.UTF_8))) {
+                
+                writer.write("[\n");
+                for (int i = 0; i < posts.size(); i++) {
+                    writer.write(postToJSON(posts.get(i)));
+                    if (i < posts.size() - 1) {
+                        writer.write(",\n");
+                    } else {
+                        writer.write("\n");
+                    }
+                }
+                writer.write("]\n");
+            }
+            
+            System.out.println("数据已保存到: " + filePath.toAbsolutePath());
+            
+        } catch (IOException e) {
+            System.err.println("保存JSON文件时出错: " + e.getMessage());
+        }
+    }
+    
+    private static String postToJSON(PostInfo post) {
+        return String.format(
+                "  {\n" +
+                "    \"title\": \"%s\",\n" +
+                "    \"content\": \"%s\",\n" +
+                "    \"author\": \"%s\",\n" +
+                "    \"postDate\": \"%s\",\n" +
+                "    \"likeCount\": %d,\n" +
+                "    \"commentCount\": %d,\n" +
+                "    \"viewCount\": %d,\n" +
+                "    \"tags\": \"%s\",\n" +
+                "    \"sentiment\": \"%s\"\n" +
+                "  }",
+                escapeJSON(post.getTitle()),
+                escapeJSON(post.getContent()),
+                escapeJSON(post.getAuthor()),
+                post.getPostDate() != null ? post.getPostDate().toString() : "",
+                post.getLikeCount(),
+                post.getCommentCount(),
+                post.getViewCount(),
+                escapeJSON(post.getTags()),
+                escapeJSON(post.getSentiment())
+        );
+    }
+    
+    private static String escapeJSON(String text) {
+        if (text == null) {
+            return "";
+        }
+        return text.replace("\\", "\\\\")
+                   .replace("\"", "\\\"")
+                   .replace("\n", "\\n")
+                   .replace("\r", "\\r")
+                   .replace("\t", "\\t");
+    }
+}

project/ExcelReader.java

@@ -0,0 +1,106 @@
+package com.project.reader;
+
+import com.project.model.PostInfo;
+
+import java.io.*;
+import java.time.LocalDate;
+import java.time.format.DateTimeFormatter;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Locale;
+
+public class ExcelReader {
+    
+    private static final DateTimeFormatter DATE_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd", Locale.CHINA);
+    
+    public static List<PostInfo> readExcelData(String filePath, int maxRows) {
+        List<PostInfo> posts = new ArrayList<>();
+        
+        try (BufferedReader reader = new BufferedReader(new FileReader(filePath, java.nio.charset.StandardCharsets.UTF_8))) {
+            
+            String line;
+            boolean isFirstLine = true;
+            int rowCount = 0;
+            
+            while ((line = reader.readLine()) != null && rowCount < maxRows) {
+                if (isFirstLine) {
+                    isFirstLine = false;
+                    continue;
+                }
+                
+                String[] parts = parseCSVLine(line);
+                if (parts.length >= 9) {
+                    PostInfo post = parsePostInfo(parts);
+                    if (post != null) {
+                        posts.add(post);
+                        rowCount++;
+                    }
+                }
+            }
+            
+            System.out.println("成功读取 " + posts.size() + " 条数据");
+            
+        } catch (IOException e) {
+            System.err.println("读取文件时出错: " + e.getMessage());
+        }
+        
+        return posts;
+    }
+    
+    private static String[] parseCSVLine(String line) {
+        List<String> fields = new ArrayList<>();
+        StringBuilder currentField = new StringBuilder();
+        boolean inQuotes = false;
+        
+        for (char c : line.toCharArray()) {
+            if (c == '"') {
+                inQuotes = !inQuotes;
+            } else if (c == ',' && !inQuotes) {
+                fields.add(currentField.toString().trim());
+                currentField.setLength(0);
+            } else {
+                currentField.append(c);
+            }
+        }
+        
+        fields.add(currentField.toString().trim());
+        return fields.toArray(new String[0]);
+    }
+    
+    private static PostInfo parsePostInfo(String[] parts) {
+        try {
+            PostInfo post = new PostInfo();
+            
+            post.setTitle(parts[0]);
+            post.setContent(parts[1]);
+            post.setAuthor(parts[2]);
+            
+            if (!parts[3].isEmpty()) {
+                post.setPostDate(LocalDate.parse(parts[3], DATE_FORMATTER));
+            }
+            
+            post.setLikeCount(parseInt(parts[4]));
+            post.setCommentCount(parseInt(parts[5]));
+            post.setViewCount(parseInt(parts[6]));
+            
+            post.setTags(parts[7]);
+            post.setSentiment(parts[8]);
+            
+            return post;
+        } catch (Exception e) {
+            System.err.println("解析数据时出错: " + e.getMessage());
+            return null;
+        }
+    }
+    
+    private static int parseInt(String value) {
+        try {
+            if (value == null || value.isEmpty()) {
+                return 0;
+            }
+            return Integer.parseInt(value);
+        } catch (NumberFormatException e) {
+            return 0;
+        }
+    }
+}

project/HTMLReportGenerator.java

@@ -0,0 +1,214 @@
+package com.project.report;
+
+import com.project.analyzer.PostAnalyzer;
+import com.project.model.PostInfo;
+
+import java.io.BufferedWriter;
+import java.io.FileWriter;
+import java.io.IOException;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.time.LocalDateTime;
+import java.time.format.DateTimeFormatter;
+import java.util.Map;
+
+public class HTMLReportGenerator {
+    
+    private static final String OUTPUT_DIR = "d:\\java\\project\\reports";
+    
+    public static void generateReport(PostAnalyzer analyzer) {
+        try {
+            Files.createDirectories(Paths.get(OUTPUT_DIR));
+            
+            String timestamp = LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyyMMdd_HHmmss"));
+            String filename = "report_" + timestamp + ".html";
+            String filepath = OUTPUT_DIR + "/" + filename;
+            
+            try (BufferedWriter writer = new BufferedWriter(
+                    new FileWriter(filepath, StandardCharsets.UTF_8))) {
+                
+                writer.write(generateHTMLContent(analyzer));
+            }
+            
+            System.out.println("HTML报告已生成: " + filepath);
+            
+        } catch (IOException e) {
+            System.err.println("生成HTML报告时出错: " + e.getMessage());
+        }
+    }
+    
+    private static String generateHTMLContent(PostAnalyzer analyzer) {
+        StringBuilder html = new StringBuilder();
+        
+        html.append("<!DOCTYPE html>\n");
+        html.append("<html lang=\"zh-CN\">\n");
+        html.append("<head>\n");
+        html.append("    <meta charset=\"UTF-8\">\n");
+        html.append("    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n");
+        html.append("    <title>图文帖子数据分析报告</title>\n");
+        html.append("    <style>\n");
+        html.append("        * { margin: 0; padding: 0; box-sizing: border-box; }\n");
+        html.append("        body { font-family: 'Microsoft YaHei', Arial, sans-serif; background: #f5f5f5; padding: 20px; }\n");
+        html.append("        .container { max-width: 1200px; margin: 0 auto; background: white; padding: 30px; border-radius: 10px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }\n");
+        html.append("        h1 { color: #333; text-align: center; margin-bottom: 10px; }\n");
+        html.append("        .subtitle { color: #666; text-align: center; margin-bottom: 30px; font-size: 14px; }\n");
+        html.append("        .section { margin-bottom: 40px; }\n");
+        html.append("        .section h2 { color: #2c3e50; border-bottom: 3px solid #3498db; padding-bottom: 10px; margin-bottom: 20px; }\n");
+        html.append("        table { width: 100%; border-collapse: collapse; margin-bottom: 20px; }\n");
+        html.append("        th, td { padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }\n");
+        html.append("        th { background: #3498db; color: white; font-weight: bold; }\n");
+        html.append("        tr:hover { background: #f8f9fa; }\n");
+        html.append("        .stat-card { display: inline-block; width: 200px; padding: 20px; margin: 10px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 10px; text-align: center; }\n");
+        html.append("        .stat-card h3 { font-size: 36px; margin-bottom: 10px; }\n");
+        html.append("        .stat-card p { font-size: 14px; opacity: 0.9; }\n");
+        html.append("        .chart-container { text-align: center; margin: 20px 0; }\n");
+        html.append("        .chart-container img { max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 5px; }\n");
+        html.append("        .summary { background: #e8f4f8; padding: 20px; border-radius: 10px; margin-bottom: 30px; }\n");
+        html.append("        .summary h3 { color: #2c3e50; margin-bottom: 15px; }\n");
+        html.append("        .summary ul { list-style-position: inside; color: #555; }\n");
+        html.append("        .summary li { margin: 8px 0; }\n");
+        html.append("    </style>\n");
+        html.append("</head>\n");
+        html.append("<body>\n");
+        html.append("    <div class=\"container\">\n");
+        html.append("        <h1>图文帖子数据分析报告</h1>\n");
+        html.append("        <p class=\"subtitle\">生成时间: ").append(LocalDateTime.now().format(DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"))).append("</p>\n");
+        
+        html.append(generateSummarySection(analyzer));
+        html.append(generateSentimentSection(analyzer));
+        html.append(generateEngagementSection(analyzer));
+        html.append(generateAuthorSection(analyzer));
+        html.append(generateChartsSection());
+        
+        html.append("    </div>\n");
+        html.append("</body>\n");
+        html.append("</html>");
+        
+        return html.toString();
+    }
+    
+    private static String generateSummarySection(PostAnalyzer analyzer) {
+        StringBuilder section = new StringBuilder();
+        
+        int totalPosts = analyzer.getPosts().size();
+        double avgLikes = analyzer.getPosts().stream()
+                .mapToInt(PostInfo::getLikeCount)
+                .average()
+                .orElse(0);
+        
+        section.append("        <div class=\"section\">\n");
+        section.append("            <div class=\"stat-card\">\n");
+        section.append("                <h3>").append(totalPosts).append("</h3>\n");
+        section.append("                <p>帖子总数</p>\n");
+        section.append("            </div>\n");
+        section.append("            <div class=\"stat-card\">\n");
+        section.append("                <h3>").append(String.format("%.1f", avgLikes)).append("</h3>\n");
+        section.append("                <p>平均点赞</p>\n");
+        section.append("            </div>\n");
+        section.append("        </div>\n");
+        
+        section.append("        <div class=\"summary\">\n");
+        section.append("            <h3>分析摘要</h3>\n");
+        section.append("            <ul>\n");
+        section.append("                <li>本次分析共收集 ").append(totalPosts).append(" 条图文帖子数据</li>\n");
+        section.append("                <li>数据来源：D:\计量经济学\计量实验资料及作业要求\计量实验资料及作业要求\图文帖子原始信息计量实验使用</li>\n");
+        section.append("                <li>分析内容包括情感倾向分布、互动指标、热门作者等多个维度</li>\n");
+        section.append("                <li>通过数据可视化展示分析结果，便于直观理解</li>\n");
+        section.append("            </ul>\n");
+        section.append("        </div>\n");
+        
+        return section.toString();
+    }
+    
+    private static String generateSentimentSection(PostAnalyzer analyzer) {
+        StringBuilder section = new StringBuilder();
+        Map<String, Long> sentimentData = analyzer.getSentimentDistributionData();
+        
+        section.append("        <div class=\"section\">\n");
+        section.append("            <h2>情感倾向分布分析</h2>\n");
+        section.append("            <table>\n");
+        section.append("                <tr><th>情感倾向</th><th>帖子数量</th><th>占比</th></tr>\n");
+        
+        long total = sentimentData.values().stream().mapToLong(Long::longValue).sum();
+        
+        for (Map.Entry<String, Long> entry : sentimentData.entrySet()) {
+            double percent = (entry.getValue() * 100.0) / total;
+            section.append("                <tr><td>").append(entry.getKey())
+                  .append("</td><td>").append(entry.getValue())
+                  .append("</td><td>").append(String.format("%.1f%%", percent))
+                  .append("</td></tr>\n");
+        }
+        
+        section.append("            </table>\n");
+        section.append("        </div>\n");
+        
+        return section.toString();
+    }
+    
+    private static String generateEngagementSection(PostAnalyzer analyzer) {
+        StringBuilder section = new StringBuilder();
+        Map<String, Double> engagementData = analyzer.getEngagementData();
+        
+        section.append("        <div class=\"section\">\n");
+        section.append("            <h2>互动指标分析</h2>\n");
+        section.append("            <table>\n");
+        section.append("                <tr><th>指标</th><th>平均值</th></tr>\n");
+        
+        for (Map.Entry<String, Double> entry : engagementData.entrySet()) {
+            section.append("                <tr><td>").append(entry.getKey())
+                  .append("</td><td>").append(String.format("%.1f", entry.getValue()))
+                  .append("</td></tr>\n");
+        }
+        
+        section.append("            </table>\n");
+        section.append("        </div>\n");
+        
+        return section.toString();
+    }
+    
+    private static String generateAuthorSection(PostAnalyzer analyzer) {
+        StringBuilder section = new StringBuilder();
+        Map<String, Integer> authorData = analyzer.getAuthorPostCount();
+        
+        section.append("        <div class=\"section\">\n");
+        section.append("            <h2>热门作者排行TOP10</h2>\n");
+        section.append("            <table>\n");
+        section.append("                <tr><th>排名</th><th>作者</th><th>帖子数量</th></tr>\n");
+        
+        int rank = 1;
+        for (Map.Entry<String, Integer> entry : authorData.entrySet()) {
+            section.append("                <tr><td>").append(rank++)
+                  .append("</td><td>").append(entry.getKey())
+                  .append("</td><td>").append(entry.getValue())
+                  .append("</td></tr>\n");
+        }
+        
+        section.append("            </table>\n");
+        section.append("        </div>\n");
+        
+        return section.toString();
+    }
+    
+    private static String generateChartsSection() {
+        StringBuilder section = new StringBuilder();
+        
+        section.append("        <div class=\"section\">\n");
+        section.append("            <h2>数据可视化图表</h2>\n");
+        section.append("            <div class=\"chart-container\">\n");
+        section.append("                <h3>情感倾向分布</h3>\n");
+        section.append("                <img src=\"../charts/sentiment_distribution.png\" alt=\"情感倾向分布图\">\n");
+        section.append("            </div>\n");
+        section.append("            <div class=\"chart-container\">\n");
+        section.append("                <h3>互动指标分析</h3>\n");
+        section.append("                <img src=\"../charts/engagement_metrics.png\" alt=\"互动指标图\">\n");
+        section.append("            </div>\n");
+        section.append("            <div class=\"chart-container\">\n");
+        section.append("                <h3>热门作者排行</h3>\n");
+        section.append("                <img src=\"../charts/author_ranking.png\" alt=\"作者排行图\">\n");
+        section.append("            </div>\n");
+        section.append("        </div>\n");
+        
+        return section.toString();
+    }
+}

project/Main.java

@@ -0,0 +1,67 @@
+package com.project;
+
+import com.project.analyzer.PostAnalyzer;
+import com.project.chart.SimpleChartGenerator;
+import com.project.model.PostInfo;
+import com.project.reader.ExcelReader;
+import com.project.report.HTMLReportGenerator;
+import com.project.storage.DataStorage;
+import com.project.util.DataCleaner;
+
+import java.util.List;
+import java.util.Scanner;
+
+public class Main {
+    
+    public static void main(String[] args) {
+        System.out.println("========================================");
+        System.out.println("  Java网络爬虫与数据分析系统");
+        System.out.println("========================================\n");
+        
+        String dataFilePath = "D:\\计量经济学\\计量实验资料及作业要求\\计量实验资料及作业要求\\图文帖子原始信息计量实验使用.xlsx";
+        String outputDir = "d:\\java\\project\\data";
+        int maxRows = 300;
+        
+        try {
+            System.out.println("开始读取本地数据文件...");
+            System.out.println("数据文件: " + dataFilePath);
+            System.out.println("读取前 " + maxRows + " 条数据");
+            
+            List<PostInfo> rawPosts = ExcelReader.readExcelData(dataFilePath, maxRows);
+            
+            if (rawPosts.isEmpty()) {
+                System.out.println("未获取到任何数据，程序退出");
+                return;
+            }
+            
+            System.out.println("\n开始数据清洗...");
+            List<PostInfo> cleanedPosts = DataCleaner.cleanPosts(rawPosts);
+            
+            System.out.println("\n保存数据到文件...");
+            DataStorage.saveToCSV(cleanedPosts, outputDir);
+            DataStorage.saveToJSON(cleanedPosts, outputDir);
+            
+            System.out.println("\n开始数据分析...");
+            PostAnalyzer analyzer = new PostAnalyzer(cleanedPosts);
+            analyzer.analyzeAll();
+            
+            System.out.println("\n生成图表...");
+            SimpleChartGenerator.generateAllCharts(analyzer);
+            
+            System.out.println("\n生成HTML报告...");
+            HTMLReportGenerator.generateReport(analyzer);
+            
+            System.out.println("\n========================================");
+            System.out.println("  程序执行完成！");
+            System.out.println("========================================");
+            System.out.println("\n输出文件位置:");
+            System.out.println("- 数据文件: " + outputDir);
+            System.out.println("- 图表文件: d:\\java\\project\\charts");
+            System.out.println("- 报告文件: d:\\java\\project\\reports");
+            
+        } catch (Exception e) {
+            System.err.println("程序执行出错: " + e.getMessage());
+            e.printStackTrace();
+        }
+    }
+}

project/PostAnalyzer.java

@@ -0,0 +1,200 @@
+package com.project.analyzer;
+
+import com.project.model.PostInfo;
+
+import java.util.*;
+import java.util.stream.Collectors;
+
+public class PostAnalyzer {
+    
+    private final List<PostInfo> posts;
+    
+    public PostAnalyzer(List<PostInfo> posts) {
+        this.posts = posts;
+    }
+    
+    public List<PostInfo> getPosts() {
+        return posts;
+    }
+    
+    public void analyzeAll() {
+        System.out.println("\n========== 数据分析报告 ==========\n");
+        
+        analyzeSentimentDistribution();
+        analyzeEngagementMetrics();
+        analyzePopularAuthors();
+        analyzeContentLength();
+        analyzeTemporalTrends();
+        
+        System.out.println("\n========== 分析完成 ==========\n");
+    }
+    
+    public void analyzeSentimentDistribution() {
+        System.out.println("【情感倾向分布分析】");
+        System.out.println("----------------------------------------");
+        
+        Map<String, Long> sentimentCounts = posts.stream()
+                .collect(Collectors.groupingBy(
+                        PostInfo::getSentiment,
+                        Collectors.counting()
+                ));
+        
+        System.out.printf("%-20s %s%n", "情感倾向", "帖子数量");
+        System.out.println("----------------------------------------");
+        
+        sentimentCounts.entrySet().stream()
+                .sorted(Map.Entry.<String, Long>comparingByValue().reversed())
+                .forEach(entry -> System.out.printf("%-20s %d%n", entry.getKey(), entry.getValue()));
+        
+        System.out.println();
+    }
+    
+    public void analyzeEngagementMetrics() {
+        System.out.println("【互动指标分析】");
+        System.out.println("----------------------------------------");
+        
+        double avgLikes = posts.stream()
+                .mapToInt(PostInfo::getLikeCount)
+                .average()
+                .orElse(0);
+        
+        double avgComments = posts.stream()
+                .mapToInt(PostInfo::getCommentCount)
+                .average()
+                .orElse(0);
+        
+        double avgViews = posts.stream()
+                .mapToInt(PostInfo::getViewCount)
+                .average()
+                .orElse(0);
+        
+        System.out.printf("平均点赞数: %.1f%n", avgLikes);
+        System.out.printf("平均评论数: %.1f%n", avgComments);
+        System.out.printf("平均浏览量: %.1f%n", avgViews);
+        
+        System.out.println();
+    }
+    
+    public void analyzePopularAuthors() {
+        System.out.println("【热门作者排行】");
+        System.out.println("----------------------------------------");
+        System.out.printf("%-30s %10s %10s %10s%n", "作者", "帖子数", "总点赞", "总评论");
+        System.out.println("----------------------------------------");
+        
+        Map<String, List<PostInfo>> authorPosts = posts.stream()
+                .collect(Collectors.groupingBy(PostInfo::getAuthor));
+        
+        authorPosts.entrySet().stream()
+                .sorted(Map.Entry.<String, List<PostInfo>>comparingByValue((a, b) -> b.size() - a.size()))
+                .limit(10)
+                .forEach(entry -> {
+                    String author = entry.getKey();
+                    List<PostInfo> authorPostList = entry.getValue();
+                    int postCount = authorPostList.size();
+                    int totalLikes = authorPostList.stream().mapToInt(PostInfo::getLikeCount).sum();
+                    int totalComments = authorPostList.stream().mapToInt(PostInfo::getCommentCount).sum();
+                    
+                    System.out.printf("%-30s %10d %10d %10d%n", 
+                            author.length() > 28 ? author.substring(0, 28) : author, 
+                            postCount, totalLikes, totalComments);
+                });
+        
+        System.out.println();
+    }
+    
+    public void analyzeContentLength() {
+        System.out.println("【内容长度分析】");
+        System.out.println("----------------------------------------");
+        
+        double avgLength = posts.stream()
+                .mapToInt(post -> post.getContent().length())
+                .average()
+                .orElse(0);
+        
+        int maxLength = posts.stream()
+                .mapToInt(post -> post.getContent().length())
+                .max()
+                .orElse(0);
+        
+        int minLength = posts.stream()
+                .mapToInt(post -> post.getContent().length())
+                .min()
+                .orElse(0);
+        
+        System.out.printf("平均内容长度: %.1f 字符%n", avgLength);
+        System.out.printf("最长内容: %d 字符%n", maxLength);
+        System.out.printf("最短内容: %d 字符%n", minLength);
+        
+        System.out.println();
+    }
+    
+    public void analyzeTemporalTrends() {
+        System.out.println("【时间趋势分析】");
+        System.out.println("----------------------------------------");
+        
+        Map<String, Long> monthlyPosts = posts.stream()
+                .filter(post -> post.getPostDate() != null)
+                .collect(Collectors.groupingBy(
+                        post -> post.getPostDate().format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM")),
+                        Collectors.counting()
+                ));
+        
+        System.out.printf("%-10s %s%n", "月份", "帖子数量");
+        System.out.println("----------------------------------------");
+        
+        monthlyPosts.entrySet().stream()
+                .sorted(Map.Entry.comparingByKey())
+                .forEach(entry -> System.out.printf("%-10s %d%n", entry.getKey(), entry.getValue()));
+        
+        System.out.println();
+    }
+    
+    public Map<String, Long> getSentimentDistributionData() {
+        return posts.stream()
+                .collect(Collectors.groupingBy(
+                        PostInfo::getSentiment,
+                        Collectors.counting()
+                ));
+    }
+    
+    public Map<String, Double> getEngagementData() {
+        Map<String, Double> engagementData = new LinkedHashMap<>();
+        
+        double avgLikes = posts.stream()
+                .mapToInt(PostInfo::getLikeCount)
+                .average()
+                .orElse(0);
+        
+        double avgComments = posts.stream()
+                .mapToInt(PostInfo::getCommentCount)
+                .average()
+                .orElse(0);
+        
+        double avgViews = posts.stream()
+                .mapToInt(PostInfo::getViewCount)
+                .average()
+                .orElse(0);
+        
+        engagementData.put("点赞", avgLikes);
+        engagementData.put("评论", avgComments);
+        engagementData.put("浏览", avgViews);
+        
+        return engagementData;
+    }
+    
+    public Map<String, Integer> getAuthorPostCount() {
+        return posts.stream()
+                .collect(Collectors.groupingBy(
+                        PostInfo::getAuthor,
+                        Collectors.summingInt(post -> 1)
+                )).entrySet().stream()
+                .sorted(Map.Entry.<String, Integer>comparingByValue().reversed())
+                .limit(10)
+                .collect(Collectors.toMap(
+                        Map.Entry::getKey,
+                        Map.Entry::getValue,
+                        (e1, e2) -> e1,
+                        LinkedHashMap::new
+                ));
+    }
+}

project/PostInfo.java

@@ -0,0 +1,129 @@
+package com.project.model;
+
+import java.time.LocalDate;
+
+public class PostInfo {
+    private String title;
+    private String content;
+    private String author;
+    private LocalDate postDate;
+    private int likeCount;
+    private int commentCount;
+    private int viewCount;
+    private String tags;
+    private String sentiment;
+
+    public PostInfo() {
+    }
+
+    public PostInfo(String title, String content, String author, LocalDate postDate, 
+                   int likeCount, int commentCount, int viewCount, String tags, String sentiment) {
+        this.title = title;
+        this.content = content;
+        this.author = author;
+        this.postDate = postDate;
+        this.likeCount = likeCount;
+        this.commentCount = commentCount;
+        this.viewCount = viewCount;
+        this.tags = tags;
+        this.sentiment = sentiment;
+    }
+
+    public String getTitle() {
+        return title;
+    }
+
+    public void setTitle(String title) {
+        this.title = title;
+    }
+
+    public String getContent() {
+        return content;
+    }
+
+    public void setContent(String content) {
+        this.content = content;
+    }
+
+    public String getAuthor() {
+        return author;
+    }
+
+    public void setAuthor(String author) {
+        this.author = author;
+    }
+
+    public LocalDate getPostDate() {
+        return postDate;
+    }
+
+    public void setPostDate(LocalDate postDate) {
+        this.postDate = postDate;
+    }
+
+    public int getLikeCount() {
+        return likeCount;
+    }
+
+    public void setLikeCount(int likeCount) {
+        this.likeCount = likeCount;
+    }
+
+    public int getCommentCount() {
+        return commentCount;
+    }
+
+    public void setCommentCount(int commentCount) {
+        this.commentCount = commentCount;
+    }
+
+    public int getViewCount() {
+        return viewCount;
+    }
+
+    public void setViewCount(int viewCount) {
+        this.viewCount = viewCount;
+    }
+
+    public String getTags() {
+        return tags;
+    }
+
+    public void setTags(String tags) {
+        this.tags = tags;
+    }
+
+    public String getSentiment() {
+        return sentiment;
+    }
+
+    public void setSentiment(String sentiment) {
+        this.sentiment = sentiment;
+    }
+
+    @Override
+    public String toString() {
+        return "PostInfo{" +
+                "title='" + title + '\'' +
+                ", author='" + author + '\'' +
+                ", postDate=" + postDate +
+                ", likeCount=" + likeCount +
+                ", commentCount=" + commentCount +
+                ", viewCount=" + viewCount +
+                ", sentiment='" + sentiment + '\'' +
+                '}';
+    }
+
+    public String toCSV() {
+        return String.format("\"%s\",\"%s\",\"%s\",\"%s\",%d,%d,%d,\"%s\",\"%s\"",
+                title != null ? title.replace("\"", "\"\"") : "",
+                content != null ? content.replace("\"", "\"\"").replace("\n", " ") : "",
+                author != null ? author.replace("\"", "\"\"") : "",
+                postDate != null ? postDate.toString() : "",
+                likeCount,
+                commentCount,
+                viewCount,
+                tags != null ? tags.replace("\"", "\"\"") : "",
+                sentiment != null ? sentiment.replace("\"", "\"\"") : "");
+    }
+}

project/README.md

@@ -0,0 +1,2 @@
+# java
+

project/SimpleChartGenerator.java

@@ -0,0 +1,165 @@
+package com.project.chart;
+
+import com.project.analyzer.PostAnalyzer;
+
+import java.awt.*;
+import java.awt.image.BufferedImage;
+import java.io.File;
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.Map;
+import javax.imageio.ImageIO;
+
+public class SimpleChartGenerator {
+    
+    private static final String OUTPUT_DIR = "d:\\java\\project\\charts";
+    private static final int WIDTH = 800;
+    private static final int HEIGHT = 600;
+    
+    public static void generateAllCharts(PostAnalyzer analyzer) {
+        try {
+            Files.createDirectories(Paths.get(OUTPUT_DIR));
+            
+            generateSentimentChart(analyzer);
+            generateEngagementChart(analyzer);
+            generateAuthorChart(analyzer);
+            
+            System.out.println("\n所有图表已生成，保存在: " + OUTPUT_DIR);
+            
+        } catch (IOException e) {
+            System.err.println("创建图表目录时出错: " + e.getMessage());
+        }
+    }
+    
+    public static void generateSentimentChart(PostAnalyzer analyzer) {
+        Map<String, Long> data = analyzer.getSentimentDistributionData();
+        
+        BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_RGB);
+        Graphics2D g2d = image.createGraphics();
+        
+        g2d.setColor(Color.WHITE);
+        g2d.fillRect(0, 0, WIDTH, HEIGHT);
+        
+        g2d.setColor(Color.BLACK);
+        g2d.setFont(new Font("宋体", Font.BOLD, 24));
+        g2d.drawString("情感倾向分布", 300, 40);
+        
+        int barWidth = 150;
+        int startX = 200;
+        int startY = 500;
+        int maxHeight = 400;
+        
+        long maxValue = data.values().stream().max(Long::compare).orElse(1L);
+        
+        int index = 0;
+        for (Map.Entry<String, Long> entry : data.entrySet()) {
+            int barHeight = (int) ((entry.getValue() * 1.0 / maxValue) * maxHeight);
+            
+            g2d.setColor(new Color(70, 130, 180));
+            g2d.fillRect(startX + index * (barWidth + 50), startY - barHeight, barWidth, barHeight);
+            
+            g2d.setColor(Color.BLACK);
+            g2d.setFont(new Font("宋体", Font.PLAIN, 14));
+            g2d.drawString(entry.getKey(), startX + index * (barWidth + 50) + 50, startY + 20);
+            g2d.drawString(String.valueOf(entry.getValue()), startX + index * (barWidth + 50) + 60, startY - barHeight - 5);
+            
+            index++;
+        }
+        
+        g2d.dispose();
+        saveImage(image, "sentiment_distribution.png");
+    }
+    
+    public static void generateEngagementChart(PostAnalyzer analyzer) {
+        Map<String, Double> data = analyzer.getEngagementData();
+        
+        BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_RGB);
+        Graphics2D g2d = image.createGraphics();
+        
+        g2d.setColor(Color.WHITE);
+        g2d.fillRect(0, 0, WIDTH, HEIGHT);
+        
+        g2d.setColor(Color.BLACK);
+        g2d.setFont(new Font("宋体", Font.BOLD, 24));
+        g2d.drawString("互动指标分析", 300, 40);
+        
+        int barWidth = 150;
+        int startX = 200;
+        int startY = 500;
+        int maxHeight = 400;
+        
+        double maxValue = data.values().stream().max(Double::compare).orElse(1.0);
+        
+        int index = 0;
+        for (Map.Entry<String, Double> entry : data.entrySet()) {
+            int barHeight = (int) ((entry.getValue() / maxValue) * maxHeight);
+            
+            g2d.setColor(new Color(60, 179, 113));
+            g2d.fillRect(startX + index * (barWidth + 50), startY - barHeight, barWidth, barHeight);
+            
+            g2d.setColor(Color.BLACK);
+            g2d.setFont(new Font("宋体", Font.PLAIN, 14));
+            g2d.drawString(entry.getKey(), startX + index * (barWidth + 50) + 60, startY + 20);
+            g2d.drawString(String.format("%.1f", entry.getValue()), startX + index * (barWidth + 50) + 50, startY - barHeight - 5);
+            
+            index++;
+        }
+        
+        g2d.dispose();
+        saveImage(image, "engagement_metrics.png");
+    }
+    
+    public static void generateAuthorChart(PostAnalyzer analyzer) {
+        Map<String, Integer> data = analyzer.getAuthorPostCount();
+        
+        BufferedImage image = new BufferedImage(WIDTH, HEIGHT, BufferedImage.TYPE_INT_RGB);
+        Graphics2D g2d = image.createGraphics();
+        
+        g2d.setColor(Color.WHITE);
+        g2d.fillRect(0, 0, WIDTH, HEIGHT);
+        
+        g2d.setColor(Color.BLACK);
+        g2d.setFont(new Font("宋体", Font.BOLD, 24));
+        g2d.drawString("热门作者排行TOP10", 280, 40);
+        
+        int barHeight = 35;
+        int startY = 80;
+        int startX = 200;
+        int maxWidth = 500;
+        
+        int maxValue = data.values().stream().max(Integer::compare).orElse(1);
+        
+        int index = 0;
+        for (Map.Entry<String, Integer> entry : data.entrySet()) {
+            int barWidth = (int) ((entry.getValue() * 1.0 / maxValue) * maxWidth);
+            
+            g2d.setColor(new Color(255, 140, 0));
+            g2d.fillRect(startX, startY + index * (barHeight + 10), barWidth, barHeight);
+            
+            g2d.setColor(Color.BLACK);
+            g2d.setFont(new Font("宋体", Font.PLAIN, 12));
+            String author = entry.getKey();
+            if (author.length() > 15) {
+                author = author.substring(0, 15) + "...";
+            }
+            g2d.drawString(author, 50, startY + index * (barHeight + 10) + 23);
+            g2d.drawString(String.valueOf(entry.getValue()), startX + barWidth + 10, startY + index * (barHeight + 10) + 23);
+            
+            index++;
+        }
+        
+        g2d.dispose();
+        saveImage(image, "author_ranking.png");
+    }
+    
+    private static void saveImage(BufferedImage image, String filename) {
+        try {
+            File file = new File(OUTPUT_DIR, filename);
+            ImageIO.write(image, "PNG", file);
+            System.out.println("图表已保存: " + file.getAbsolutePath());
+        } catch (IOException e) {
+            System.err.println("保存图表失败: " + e.getMessage());
+        }
+    }
+}