dev_test/advanced-java.java

/**
 * 🚀 Advanced Java Test File for Chahuadev Emoji Cleaner Tool
 * 📝 Comprehensive Java patterns with extensive emoji usage for testing
 * 🎯 Features: Modern Java features, OOP patterns, streams, and emoji integration
 * 🧪 Perfect for testing emoji removal from Java source files
 * 
 * @author Chahuadev Development Team 👨‍💻
 * @version 2.0.0 🎯
 * @since 2025-01-20 📅
 */

package com.chahuadev.emoji.cleaner.test; // 📦 Package declaration

import java.util.*; // 📚 Core utilities
import java.util.concurrent.*; // ⚡ Concurrency support
import java.util.stream.*; // 🌊 Stream processing
import java.util.function.*; // 🔧 Functional interfaces
import java.time.*; // ⏰ Time handling
import java.time.format.*; // 📅 Date formatting
import java.nio.file.*; // 📁 File operations
import java.io.*; // 💾 Input/Output
import java.net.*; // 🌐 Network operations
import java.util.regex.*; // 🔍 Regular expressions
import java.lang.annotation.*; // 🏷️ Annotations
import java.lang.reflect.*; // 🪞 Reflection
import javax.annotation.processing.*; // ⚙️ Annotation processing

/**
 * 🧪 Custom annotation for emoji testing
 * 🎯 Demonstrates annotation usage with emoji descriptions
 */
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.TYPE, ElementType.METHOD, ElementType.FIELD})
@interface EmojiTest {
    String value() default "🧪 Default test"; // 📝 Test description
    String category() default "🏷️ General"; // 📊 Test category
    int priority() default 1; // 🔥 Priority level
    String[] tags() default {}; // 🏷️ Test tags
}

/**
 * 🎯 Functional interface for emoji processing
 * ⚡ Demonstrates modern Java functional programming with emojis
 */
@FunctionalInterface
interface EmojiProcessor<T, R> {
    /**
     * 🧹 Process emoji content with transformation
     * @param input 📝 Input data with emojis
     * @return 📊 Processed result
     */
    R processEmojis(T input);
    
    /**
     * 🔗 Default method for chaining processors
     * @param after 🔄 Next processor in chain
     * @return 🎯 Combined processor
     */
    default <V> EmojiProcessor<T, V> andThen(EmojiProcessor<? super R, ? extends V> after) {
        Objects.requireNonNull(after, "🚫 After processor cannot be null");
        return (T input) -> after.processEmojis(processEmojis(input));
    }
}

/**
 * 🎨 Abstract base class for emoji-related operations
 * 🏗️ Demonstrates inheritance and polymorphism with emoji context
 */
abstract class AbstractEmojiHandler {
    protected final String handlerName; // 🏷️ Handler identifier
    protected final Map<String, Object> configuration; // ⚙️ Handler config
    protected final List<String> supportedCategories; // 📋 Supported emoji types
    
    /**
     * 🎯 Constructor with emoji-rich initialization
     * @param name 🏷️ Handler name with emoji indicators
     * @param config ⚙️ Configuration map
     */
    protected AbstractEmojiHandler(String name, Map<String, Object> config) {
        this.handlerName = "🔧 " + Objects.requireNonNull(name, "🚫 Name required");
        this.configuration = new HashMap<>(config);
        this.supportedCategories = Arrays.asList(
            "😀 Faces", "❤️ Hearts", "🚀 Objects", "🌸 Nature", 
            "🎯 Symbols", "🎨 Activities", "🍎 Food", "🏠 Places"
        );
        
        // 🎉 Log initialization with emoji status
        logMessage("✅ Handler initialized successfully");
    }
    
    /**
     * 🧹 Abstract method for emoji processing
     * @param content 📝 Content with emojis
     * @return 📊 Processing result
     */
    public abstract ProcessingResult processContent(String content);
    
    /**
     * 📊 Validate emoji category support
     * @param category 🏷️ Category to check
     * @return ✅ True if supported
     */
    protected boolean isCategorySupported(String category) {
        return supportedCategories.stream()
            .anyMatch(supported -> supported.contains(category.replace("🎯 ", "")));
    }
    
    /**
     * 📝 Logging utility with emoji indicators
     * @param message 💬 Message to log
     */
    protected void logMessage(String message) {
        String timestamp = LocalDateTime.now()
            .format(DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
        System.out.println(String.format("[%s] 🕒 %s: %s", 
            timestamp, handlerName, message));
    }
    
    /**
     * 🎯 Get handler statistics with emoji formatting
     * @return 📊 Statistics map
     */
    public Map<String, Object> getStatistics() {
        Map<String, Object> stats = new HashMap<>();
        stats.put("🏷️ handlerName", handlerName);
        stats.put("📊 supportedCategories", supportedCategories.size());
        stats.put("⚙️ configurationSize", configuration.size());
        stats.put("🕒 lastAccessed", LocalDateTime.now());
        return stats;
    }
}

/**
 * 📊 Data class for processing results
 * 🎯 Demonstrates record usage with emoji-rich content (Java 14+)
 */
record ProcessingResult(
    String originalContent,     // 📝 Original text
    String cleanedContent,      // 🧹 Processed text
    List<String> foundEmojis,   // 🔍 Detected emojis
    Map<String, Integer> categoryStats, // 📊 Category breakdown
    Duration processingTime,    // ⏱️ Time taken
    boolean success,           // ✅ Success status
    String processorName       // 🏷️ Processor identifier
) {
    /**
     * 🎯 Compact constructor with validation
     */
    public ProcessingResult {
        Objects.requireNonNull(originalContent, "🚫 Original content required");
        Objects.requireNonNull(cleanedContent, "🚫 Cleaned content required");
        Objects.requireNonNull(foundEmojis, "🚫 Found emojis list required");
        Objects.requireNonNull(categoryStats, "🚫 Category stats required");
        Objects.requireNonNull(processingTime, "🚫 Processing time required");
        Objects.requireNonNull(processorName, "🚫 Processor name required");
    }
    
    /**
     * 📈 Calculate emoji removal efficiency
     * @return 📊 Efficiency percentage
     */
    public double getEfficiency() {
        if (originalContent.length() == 0) return 100.0;
        double reduction = (double) foundEmojis.size() / originalContent.length();
        return Math.min(100.0, reduction * 100.0);
    }
    
    /**
     * 📝 Generate summary report with emoji indicators
     * @return 📋 Formatted report
     */
    public String generateReport() {
        StringBuilder report = new StringBuilder();
        report.append("📊 PROCESSING REPORT\n");
        report.append("==================\n\n");
        report.append(String.format("🏷️ Processor: %s\n", processorName));
        report.append(String.format("📝 Original length: %d characters\n", originalContent.length()));
        report.append(String.format("🧹 Cleaned length: %d characters\n", cleanedContent.length()));
        report.append(String.format("🔍 Emojis found: %d\n", foundEmojis.size()));
        report.append(String.format("⏱️ Processing time: %d ms\n", processingTime.toMillis()));
        report.append(String.format("📈 Efficiency: %.2f%%\n", getEfficiency()));
        report.append(String.format("✅ Success: %s\n\n", success ? "Yes" : "No"));
        
        if (!categoryStats.isEmpty()) {
            report.append("🏷️ CATEGORY BREAKDOWN:\n");
            categoryStats.forEach((category, count) -> 
                report.append(String.format("  %s: %d emojis\n", category, count)));
        }
        
        return report.toString();
    }
}

/**
 * 🧹 Concrete implementation of emoji handler
 * ⚡ Advanced emoji processing with modern Java features
 */
@EmojiTest(value = "🧪 Advanced processor test", category = "🔧 Core", priority = 1)
public class AdvancedEmojiCleanerProcessor extends AbstractEmojiHandler {
    
    // 🔍 Emoji detection patterns
    private static final Map<String, Pattern> EMOJI_PATTERNS = Map.of(
        "😀 Faces", Pattern.compile("[\\u{1F600}-\\u{1F64F}]", Pattern.UNICODE_CHARACTER_CLASS),
        "❤️ Hearts", Pattern.compile("[\\u{1F495}-\\u{1F49F}]|❤️|🧡|💛|💚|💙|💜", Pattern.UNICODE_CHARACTER_CLASS),
        "🚀 Objects", Pattern.compile("[\\u{1F680}-\\u{1F6FF}]", Pattern.UNICODE_CHARACTER_CLASS),
        "🌸 Nature", Pattern.compile("[\\u{1F300}-\\u{1F5FF}]", Pattern.UNICODE_CHARACTER_CLASS),
        "🎯 Symbols", Pattern.compile("[\\u{2600}-\\u{26FF}]", Pattern.UNICODE_CHARACTER_CLASS)
    );
    
    // ⚡ Thread-safe emoji cache
    private final ConcurrentHashMap<String, List<String>> emojiCache = new ConcurrentHashMap<>();
    
    // 📊 Processing statistics
    private final AtomicLong totalProcessed = new AtomicLong(0);
    private final AtomicLong totalEmojisRemoved = new AtomicLong(0);
    
    // 🧵 Executor service for parallel processing
    private final ExecutorService executorService;
    
    /**
     * 🎯 Constructor with advanced configuration
     * @param config ⚙️ Processing configuration
     */
    public AdvancedEmojiCleanerProcessor(Map<String, Object> config) {
        super("🧹 Advanced Emoji Cleaner", config);
        
        // ⚡ Initialize thread pool based on configuration
        int threadCount = (Integer) config.getOrDefault("🧵 threadCount", 
            Runtime.getRuntime().availableProcessors());
        this.executorService = Executors.newFixedThreadPool(threadCount);
        
        logMessage(String.format("🧵 Thread pool initialized with %d threads", threadCount));
    }
    
    /**
     * 🧹 Main content processing method
     * @param content 📝 Content with emojis to process
     * @return 📊 Processing result with statistics
     */
    @Override
    @EmojiTest(value = "🔧 Core processing test", category = "⚡ Performance")
    public ProcessingResult processContent(String content) {
        Objects.requireNonNull(content, "🚫 Content cannot be null");
        
        Instant startTime = Instant.now();
        logMessage(String.format("🔄 Processing content (%d characters)", content.length()));
        
        try {
            // 🔍 Detect emojis with parallel processing
            List<String> foundEmojis = detectEmojisParallel(content);
            
            // 📊 Generate category statistics
            Map<String, Integer> categoryStats = generateCategoryStatistics(foundEmojis);
            
            // 🧹 Remove emojis from content
            String cleanedContent = removeEmojis(content, foundEmojis);
            
            // ⏱️ Calculate processing time
            Duration processingTime = Duration.between(startTime, Instant.now());
            
            // 📊 Update global statistics
            totalProcessed.incrementAndGet();
            totalEmojisRemoved.addAndGet(foundEmojis.size());
            
            // ✅ Create successful result
            ProcessingResult result = new ProcessingResult(
                content,
                cleanedContent,
                foundEmojis,
                categoryStats,
                processingTime,
                true,
                handlerName
            );
            
            logMessage(String.format("✅ Processing completed: %d emojis removed in %d ms", 
                foundEmojis.size(), processingTime.toMillis()));
            
            return result;
            
        } catch (Exception e) {
            // ❌ Handle processing errors
            Duration processingTime = Duration.between(startTime, Instant.now());
            logMessage(String.format("❌ Processing failed: %s", e.getMessage()));
            
            return new ProcessingResult(
                content,
                content, // 🔄 Return original on error
                Collections.emptyList(),
                Collections.emptyMap(),
                processingTime,
                false,
                handlerName
            );
        }
    }
    
    /**
     * 🔍 Parallel emoji detection using streams
     * @param content 📝 Content to analyze
     * @return 📋 List of found emojis
     */
    private List<String> detectEmojisParallel(String content) {
        // 🧠 Check cache first
        String cacheKey = Integer.toString(content.hashCode());
        if (emojiCache.containsKey(cacheKey)) {
            logMessage("📊 Cache hit for emoji detection");
            return new ArrayList<>(emojiCache.get(cacheKey));
        }
        
        // 🔍 Parallel detection across categories
        List<String> allEmojis = EMOJI_PATTERNS.entrySet()
            .parallelStream()
            .flatMap(entry -> {
                Pattern pattern = entry.getValue();
                return pattern.matcher(content)
                    .results()
                    .map(MatchResult::group);
            })
            .distinct()
            .sorted()
            .collect(Collectors.toList());
        
        // 💾 Cache results for future use
        emojiCache.put(cacheKey, new ArrayList<>(allEmojis));
        
        return allEmojis;
    }
    
    /**
     * 📊 Generate category statistics for found emojis
     * @param emojis 🔍 List of detected emojis
     * @return 📈 Category breakdown map
     */
    private Map<String, Integer> generateCategoryStatistics(List<String> emojis) {
        Map<String, Integer> stats = new HashMap<>();
        
        // 🔄 Count emojis by category
        for (Map.Entry<String, Pattern> entry : EMOJI_PATTERNS.entrySet()) {
            String category = entry.getKey();
            Pattern pattern = entry.getValue();
            
            long count = emojis.stream()
                .filter(emoji -> pattern.matcher(emoji).matches())
                .count();
            
            if (count > 0) {
                stats.put(category, (int) count);
            }
        }
        
        return stats;
    }
    
    /**
     * 🧹 Remove emojis from content
     * @param content 📝 Original content
     * @param emojis 🔍 Emojis to remove
     * @return 🧹 Cleaned content
     */
    private String removeEmojis(String content, List<String> emojis) {
        String result = content;
        
        // 🔄 Remove each detected emoji
        for (String emoji : emojis) {
            result = result.replace(emoji, "");
        }
        
        // 🧹 Clean up extra whitespace
        result = result.replaceAll("\\s+", " ").trim();
        
        return result;
    }
    
    /**
     * ⚡ Batch processing for multiple content items
     * @param contentList 📋 List of content to process
     * @return 📊 List of processing results
     */
    @EmojiTest(value = "📦 Batch processing test", category = "⚡ Performance", priority = 2)
    public CompletableFuture<List<ProcessingResult>> processBatch(List<String> contentList) {
        logMessage(String.format("📦 Starting batch processing for %d items", contentList.size()));
        
        // 🧵 Process items in parallel using CompletableFuture
        List<CompletableFuture<ProcessingResult>> futures = contentList.stream()
            .map(content -> CompletableFuture.supplyAsync(
                () -> processContent(content), executorService))
            .collect(Collectors.toList());
        
        // 🔄 Combine all futures
        return CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
            .thenApply(v -> futures.stream()
                .map(CompletableFuture::join)
                .collect(Collectors.toList()));
    }
    
    /**
     * 📊 Get comprehensive processor statistics
     * @return 📈 Detailed statistics map
     */
    @Override
    public Map<String, Object> getStatistics() {
        Map<String, Object> stats = super.getStatistics();
        stats.put("📊 totalProcessed", totalProcessed.get());
        stats.put("🧹 totalEmojisRemoved", totalEmojisRemoved.get());
        stats.put("💾 cacheSize", emojiCache.size());
        stats.put("🧵 activeThreads", ((ThreadPoolExecutor) executorService).getActiveCount());
        stats.put("⏱️ averageProcessingTime", calculateAverageProcessingTime());
        
        return stats;
    }
    
    /**
     * ⏱️ Calculate average processing time
     * @return 📊 Average time in milliseconds
     */
    private double calculateAverageProcessingTime() {
        // 📊 Simplified calculation for demo
        return totalProcessed.get() > 0 ? 
            (double) totalEmojisRemoved.get() / totalProcessed.get() : 0.0;
    }
    
    /**
     * 🧹 Cleanup resources
     */
    public void shutdown() {
        logMessage("🔄 Shutting down emoji processor");
        executorService.shutdown();
        try {
            if (!executorService.awaitTermination(5, TimeUnit.SECONDS)) {
                executorService.shutdownNow();
                logMessage("⚡ Force shutdown completed");
            }
        } catch (InterruptedException e) {
            executorService.shutdownNow();
            Thread.currentThread().interrupt();
        }
        
        emojiCache.clear();
        logMessage("✅ Shutdown completed successfully");
    }
}

/**
 * 🎪 Utility class for emoji-related operations
 * 🛠️ Demonstrates static methods and utility patterns
 */
final class EmojiUtils {
    
    // 🚫 Private constructor to prevent instantiation
    private EmojiUtils() {
        throw new AssertionError("🚫 Utility class cannot be instantiated");
    }
    
    /**
     * 📊 Count emoji frequency in text
     * @param text 📝 Text to analyze
     * @return 📈 Frequency map
     */
    public static Map<String, Long> countEmojiFrequency(String text) {
        return text.codePoints()
            .filter(Character::isSupplementaryCodePoint)
            .mapToObj(cp -> new String(Character.toChars(cp)))
            .collect(Collectors.groupingBy(
                Function.identity(),
                Collectors.counting()
            ));
    }
    
    /**
     * 🎯 Extract emojis from text
     * @param text 📝 Source text
     * @return 📋 List of emojis
     */
    public static List<String> extractEmojis(String text) {
        List<String> emojis = new ArrayList<>();
        
        text.codePoints()
            .filter(cp -> cp >= 0x1F600 && cp <= 0x1F64F || // 😀 Emoticons
                         cp >= 0x1F300 && cp <= 0x1F5FF || // 🎭 Misc Symbols
                         cp >= 0x1F680 && cp <= 0x1F6FF || // 🚀 Transport
                         cp >= 0x2600 && cp <= 0x26FF)     // ☀️ Misc symbols
            .mapToObj(cp -> new String(Character.toChars(cp)))
            .forEach(emojis::add);
        
        return emojis;
    }
    
    /**
     * 🔍 Check if text contains emojis
     * @param text 📝 Text to check
     * @return ✅ True if emojis found
     */
    public static boolean containsEmojis(String text) {
        return text.codePoints()
            .anyMatch(cp -> cp >= 0x1F600 && cp <= 0x1F64F || // 😀 Range check
                           cp >= 0x1F300 && cp <= 0x1F5FF || // 🎭 Symbol check
                           cp >= 0x1F680 && cp <= 0x1F6FF);  // 🚀 Transport check
    }
    
    /**
     * 📏 Calculate text length without emojis
     * @param text 📝 Input text
     * @return 📊 Length without emojis
     */
    public static int lengthWithoutEmojis(String text) {
        return (int) text.codePoints()
            .filter(cp -> !(cp >= 0x1F600 && cp <= 0x1F64F || // 😀 Exclude emojis
                           cp >= 0x1F300 && cp <= 0x1F5FF || // 🎭 Exclude symbols
                           cp >= 0x1F680 && cp <= 0x1F6FF))  // 🚀 Exclude transport
            .count();
    }
    
    /**
     * 🎨 Generate emoji report
     * @param text 📝 Text to analyze
     * @return 📋 Formatted report
     */
    public static String generateEmojiReport(String text) {
        StringBuilder report = new StringBuilder();
        report.append("🎯 EMOJI ANALYSIS REPORT\n");
        report.append("========================\n\n");
        
        List<String> emojis = extractEmojis(text);
        Map<String, Long> frequency = countEmojiFrequency(text);
        
        report.append(String.format("📝 Total characters: %d\n", text.length()));
        report.append(String.format("🔍 Emojis found: %d\n", emojis.size()));
        report.append(String.format("🎯 Unique emojis: %d\n", frequency.size()));
        report.append(String.format("📏 Length without emojis: %d\n", lengthWithoutEmojis(text)));
        report.append(String.format("📊 Emoji density: %.2f%%\n\n", 
            (double) emojis.size() / text.length() * 100));
        
        if (!frequency.isEmpty()) {
            report.append("🏆 MOST FREQUENT EMOJIS:\n");
            frequency.entrySet().stream()
                .sorted(Map.Entry.<String, Long>comparingByValue().reversed())
                .limit(10)
                .forEach(entry -> report.append(String.format("  %s: %d times\n", 
                    entry.getKey(), entry.getValue())));
        }
        
        return report.toString();
    }
}

/**
 * 🧪 Main test class demonstrating emoji processing
 * 🎯 Comprehensive testing with various emoji scenarios
 */
public class EmojiCleanerTestRunner {
    
    /**
     * 🚀 Main method for running emoji cleaner tests
     * @param args 📋 Command line arguments
     */
    public static void main(String[] args) {
        System.out.println("🎉 Starting Chahuadev Emoji Cleaner Test Suite! 🧪\n");
        
        // ⚙️ Configuration for processor
        Map<String, Object> config = Map.of(
            "🧵 threadCount", 4,
            "💾 cacheEnabled", true,
            "📊 statisticsEnabled", true,
            "⚡ optimizationLevel", "high",
            "🔍 detectionMode", "comprehensive"
        );
        
        // 🔧 Initialize processor
        AdvancedEmojiCleanerProcessor processor = new AdvancedEmojiCleanerProcessor(config);
        
        try {
            // 🧪 Test scenarios with emoji-rich content
            runBasicTests(processor);
            runAdvancedTests(processor);
            runPerformanceTests(processor);
            runBatchTests(processor);
            
            // 📊 Display final statistics
            displayFinalStatistics(processor);
            
        } finally {
            // 🧹 Cleanup resources
            processor.shutdown();
        }
        
        System.out.println("\n🎉 All tests completed successfully! ✅");
    }
    
    /**
     * 🧪 Run basic emoji processing tests
     * @param processor 🔧 Processor instance
     */
    private static void runBasicTests(AdvancedEmojiCleanerProcessor processor) {
        System.out.println("🧪 Running basic emoji processing tests...\n");
        
        // 📝 Test cases with various emoji types
        Map<String, String> testCases = Map.of(
            "🎯 Simple Faces", 
            "Hello 😊 World! 😀 This is a test 🙂 with basic emojis 😃!",
            
            "❤️ Hearts and Love",
            "I love ❤️ programming! 💕 Java is amazing 💖 for development 💘!",
            
            "🚀 Objects and Tools",
            "Check out this rocket 🚀! We use tools 🔧 and technology 💻 daily ⚡!",
            
            "🌸 Nature Elements",
            "Beautiful flowers 🌸🌺🌻 grow in the garden 🌱 under the sun ☀️!",
            
            "🎪 Mixed Content",
            "🎉 Celebration time! 🚀 Let's go! 😊 Happy coding 💻 with emojis 🎨!"
        );
        
        testCases.forEach((testName, content) -> {
            System.out.println(String.format("Testing: %s", testName));
            ProcessingResult result = processor.processContent(content);
            
            System.out.println(String.format("  📝 Original: %s", 
                content.substring(0, Math.min(50, content.length())) + "..."));
            System.out.println(String.format("  🧹 Cleaned: %s", 
                result.cleanedContent().substring(0, Math.min(50, result.cleanedContent().length())) + "..."));
            System.out.println(String.format("  🔍 Emojis found: %d", result.foundEmojis().size()));
            System.out.println(String.format("  ⏱️ Time: %d ms", result.processingTime().toMillis()));
            System.out.println();
        });
    }
    
    /**
     * 🔬 Run advanced emoji processing tests
     * @param processor 🔧 Processor instance
     */
    private static void runAdvancedTests(AdvancedEmojiCleanerProcessor processor) {
        System.out.println("🔬 Running advanced emoji processing tests...\n");
        
        // 📝 Complex test content with nested emojis
        String complexContent = """
            🎯 Welcome to our comprehensive emoji testing suite! 🧪
            
            This content includes:
            • 😀 Facial expressions: 😊 😂 🤣 😍 🥰 😘 😎 🤓 😴 😇
            • ❤️ Hearts and emotions: 💕 💖 💗 💘 💝 💞 💟 💔 ❣️ 💋
            • 🚀 Technology objects: 💻 📱 ⌨️ 🖥️ 🖨️ 📡 💾 💿 📀 🔌
            • 🌸 Nature elements: 🌱 🌿 🍀 🌾 🌳 🌲 🌴 🌵 🌺 🌻
            • 🎯 Symbols and signs: ⭐ 🌟 ✨ 💫 🌙 ☀️ ⛅ 🌈 ⚡ 🔥
            
            Special sequences and combinations:
            👨‍💻 Developer working on 💻 computer with ☕ coffee
            👩‍🚀 Astronaut exploring 🌍 Earth from 🚀 spaceship
            🏳️‍🌈 Rainbow flag representing 🌈 diversity and inclusion
            👨‍👩‍👧‍👦 Family enjoying 🎪 carnival with 🎠 carousel rides
            
            Unicode variations and modifiers:
            👋🏻 👋🏼 👋🏽 👋🏾 👋🏿 (skin tone modifiers)
            👍🏻 👍🏼 👍🏽 👍🏾 👍🏿 (approval with variations)
            
            Mixed language content:
            English: Hello 👋 World! 🌍
            ไทย: สวัสดี 🙏 โลก! 🌎
            日本語: こんにちは 👋 世界! 🌏
            Español: ¡Hola 👋 Mundo! 🌍
            
            Numbers and measurements:
            📊 Statistics: 85% success rate ✅
            📈 Growth: +25% improvement 🚀
            ⏰ Time: 2:30 PM 🕐
            💰 Cost: $1,299.99 💵
            
            🎉 End of complex content testing! 🧪✨
            """;
        
        System.out.println("Processing complex multi-line content with 100+ emojis...");
        ProcessingResult result = processor.processContent(complexContent);
        
        System.out.println(result.generateReport());
        
        // 🔍 Analyze emoji distribution
        System.out.println("🏷️ Detailed Category Analysis:");
        result.categoryStats().forEach((category, count) -> {
            double percentage = (double) count / result.foundEmojis().size() * 100;
            System.out.println(String.format("  %s: %d emojis (%.1f%%)", 
                category, count, percentage));
        });
        System.out.println();
    }
    
    /**
     * ⚡ Run performance testing
     * @param processor 🔧 Processor instance
     */
    private static void runPerformanceTests(AdvancedEmojiCleanerProcessor processor) {
        System.out.println("⚡ Running performance tests...\n");
        
        // 📊 Generate large content for stress testing
        StringBuilder largeContent = new StringBuilder();
        String[] emojiSamples = {
            "😀", "😃", "😄", "😁", "😆", "😅", "🤣", "😂", "🙂", "🙃",
            "😉", "😊", "😇", "🥰", "😍", "🤩", "😘", "😗", "😚", "😙",
            "🚀", "⚡", "🔥", "💧", "🌟", "✨", "💫", "⭐", "🌙", "☀️",
            "❤️", "🧡", "💛", "💚", "💙", "💜", "🤎", "🖤", "🤍", "💔"
        };
        
        // 🔄 Generate content with 1000+ emojis
        for (int i = 0; i < 1000; i++) {
            largeContent.append("Sample text ").append(i).append(" ");
            largeContent.append(emojiSamples[i % emojiSamples.length]).append(" ");
            if (i % 10 == 0) largeContent.append("\n");
        }
        
        String testContent = largeContent.toString();
        System.out.println(String.format("📊 Generated test content: %d characters", testContent.length()));
        
        // ⏱️ Performance measurement
        long startTime = System.nanoTime();
        ProcessingResult result = processor.processContent(testContent);
        long endTime = System.nanoTime();
        
        double totalTimeMs = (endTime - startTime) / 1_000_000.0;
        double throughput = result.foundEmojis().size() / (totalTimeMs / 1000.0);
        
        System.out.println("⚡ PERFORMANCE RESULTS:");
        System.out.println(String.format("  📊 Total processing time: %.2f ms", totalTimeMs));
        System.out.println(String.format("  🔍 Emojis processed: %d", result.foundEmojis().size()));
        System.out.println(String.format("  🚀 Throughput: %.0f emojis/second", throughput));
        System.out.println(String.format("  💾 Memory efficiency: High (streaming processing)"));
        System.out.println(String.format("  ✅ Success rate: %s", result.success() ? "100%" : "Failed"));
        System.out.println();
    }
    
    /**
     * 📦 Run batch processing tests
     * @param processor 🔧 Processor instance
     */
    private static void runBatchTests(AdvancedEmojiCleanerProcessor processor) {
        System.out.println("📦 Running batch processing tests...\n");
        
        // 📋 Create batch of content items
        List<String> batchContent = Arrays.asList(
            "🎯 First document with emojis 😊 and text content 📝",
            "🚀 Second item containing rockets 🚀 and stars ⭐✨",
            "❤️ Third piece with hearts 💕 and love 💖 symbols",
            "🌸 Fourth content about nature 🌿 and flowers 🌺",
            "🎪 Fifth document mixing celebration 🎉 and fun 🎈",
            "💻 Sixth item about technology 📱 and coding 👨‍💻",
            "🍎 Seventh piece with food 🍕 and drinks ☕ emojis",
            "🏠 Eighth content about places 🏢 and travel ✈️",
            "🎨 Ninth document with art 🖼️ and creativity 🎭",
            "🧪 Tenth item for scientific 🔬 testing purposes 📊"
        );
        
        System.out.println(String.format("Processing batch of %d items...", batchContent.size()));
        
        try {
            // ⚡ Execute batch processing
            CompletableFuture<List<ProcessingResult>> batchFuture = processor.processBatch(batchContent);
            List<ProcessingResult> results = batchFuture.get(10, TimeUnit.SECONDS);
            
            // 📊 Analyze batch results
            long totalEmojis = results.stream()
                .mapToLong(r -> r.foundEmojis().size())
                .sum();
            
            long totalTime = results.stream()
                .mapToLong(r -> r.processingTime().toMillis())
                .sum();
            
            long successCount = results.stream()
                .mapToLong(r -> r.success() ? 1 : 0)
                .sum();
            
            System.out.println("📦 BATCH PROCESSING RESULTS:");
            System.out.println(String.format("  📊 Items processed: %d", results.size()));
            System.out.println(String.format("  ✅ Successful: %d (%.1f%%)", 
                successCount, (double) successCount / results.size() * 100));
            System.out.println(String.format("  🔍 Total emojis removed: %d", totalEmojis));
            System.out.println(String.format("  ⏱️ Total processing time: %d ms", totalTime));
            System.out.println(String.format("  📈 Average per item: %.1f ms", 
                (double) totalTime / results.size()));
            System.out.println();
            
        } catch (Exception e) {
            System.err.println("❌ Batch processing failed: " + e.getMessage());
        }
    }
    
    /**
     * 📊 Display final processing statistics
     * @param processor 🔧 Processor instance
     */
    private static void displayFinalStatistics(AdvancedEmojiCleanerProcessor processor) {
        System.out.println("📊 FINAL PROCESSING STATISTICS");
        System.out.println("==============================\n");
        
        Map<String, Object> stats = processor.getStatistics();
        stats.forEach((key, value) -> {
            System.out.println(String.format("%s: %s", key, value));
        });
        
        System.out.println();
        
        // 🎯 Generate sample emoji report
        String sampleText = "🎉 Sample analysis: 😊 Testing 🚀 emoji 💻 distribution 📊 in text! ⚡✨";
        System.out.println("🎯 SAMPLE EMOJI ANALYSIS:");
        System.out.println(EmojiUtils.generateEmojiReport(sampleText));
    }
}

/**
 * 🎪 Test data generator for emoji content
 * 🏭 Factory pattern for creating test scenarios
 */
class EmojiTestDataFactory {
    
    /**
     * 🎯 Generate test content with specified emoji density
     * @param wordCount 📊 Number of words
     * @param emojiDensity 📈 Percentage of words that are emojis
     * @return 📝 Generated test content
     */
    public static String generateTestContent(int wordCount, double emojiDensity) {
        Random random = new Random();
        StringBuilder content = new StringBuilder();
        
        String[] words = {
            "test", "content", "sample", "example", "demonstration",
            "validation", "processing", "analysis", "performance", "optimization"
        };
        
        String[] emojis = {
            "😀", "😃", "😄", "😁", "😆", "😅", "🤣", "😂", "🙂", "🙃",
            "🚀", "⚡", "🔥", "💧", "🌟", "✨", "💫", "⭐", "🌙", "☀️",
            "❤️", "🧡", "💛", "💚", "💙", "💜", "🤎", "🖤", "🤍", "💔",
            "📊", "📈", "📉", "📋", "📌", "📍", "📎", "📏", "📐", "📑"
        };
        
        for (int i = 0; i < wordCount; i++) {
            if (random.nextDouble() < emojiDensity) {
                content.append(emojis[random.nextInt(emojis.length)]);
            } else {
                content.append(words[random.nextInt(words.length)]);
            }
            
            if (i < wordCount - 1) {
                content.append(" ");
            }
        }
        
        return content.toString();
    }
    
    /**
     * 📋 Create predefined test scenarios
     * @return 🧪 Map of test scenarios
     */
    public static Map<String, String> createTestScenarios() {
        return Map.of(
            "🧪 Light Emoji Usage",
            generateTestContent(100, 0.1), // 10% emojis
            
            "🎯 Medium Emoji Usage", 
            generateTestContent(100, 0.25), // 25% emojis
            
            "🔥 Heavy Emoji Usage",
            generateTestContent(100, 0.5), // 50% emojis
            
            "🎪 Extreme Emoji Usage",
            generateTestContent(50, 0.8) // 80% emojis
        );
    }
}

/*
 * 🎉 End of Advanced Java Emoji Cleaner Test File
 * 
 * 📊 File Statistics:
 * - Lines of code: 800+ lines
 * - Emoji count: 300+ emojis
 * - Java features: Modern Java 17+ patterns
 * - Complexity: Advanced with concurrency, streams, records
 * 
 * 🧪 Test Coverage:
 * ✅ Basic emoji detection and removal
 * ✅ Advanced pattern matching
 * ✅ Parallel processing with streams
 * ✅ Concurrent execution with CompletableFuture
 * ✅ Caching and performance optimization
 * ✅ Comprehensive error handling
 * ✅ Statistical analysis and reporting
 * ✅ Batch processing capabilities
 * ✅ Resource management and cleanup
 * 
 * 🎯 Perfect for testing emoji removal from Java source files!
 * 🚀 Demonstrates enterprise-grade Java patterns with emoji integration
 * 💻 Ready for comprehensive emoji cleaner validation
 */