java/project/PostAnalyzer.java

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
                ));
    }
}