// ===== KIMI MEMORY DATABASE OPTIMIZATION SUGGESTIONS =====

/**
 * Performance Optimization Guide for Kimi Memory System
 *
 * This file contains recommendations for database schema optimizations
 * to improve query performance in the memory system.
 */

// RECOMMENDED DEXIE INDEX CONFIGURATION
// Add these indexes to your database schema for optimal performance

const RECOMMENDED_MEMORY_INDEXES = {
    // Current schema (for reference)
    current: "++id, character, category, type, timestamp, isActive, confidence, importance, keywords",

    // OPTIMIZED schema with composite indexes
    optimized: [
        "++id", // Primary key (auto-increment)

        // Single field indexes (existing)
        "character",
        "category",
        "type",
        "timestamp",
        "isActive",
        "confidence",
        "importance",
        "*keywords", // Multi-entry index for keyword array

        // COMPOSITE INDEXES for frequent query patterns
        "[character+isActive]", // Filter by character and active status
        "[character+category]", // Get memories by character and category
        "[character+category+isActive]", // Most common query pattern
        "[character+timestamp]", // Chronological queries by character
        "[isActive+importance]", // Get active memories by importance
        "[isActive+timestamp]", // Recent active memories
        "[character+type+isActive]", // Filter by character, type, and status

        // Advanced composite indexes for complex queries
        "[character+isActive+importance]", // Prioritized active memories by character
        "[character+category+timestamp]" // Category-specific chronological queries
    ]
};

// QUERY OPTIMIZATION EXAMPLES
const OPTIMIZED_QUERY_PATTERNS = {
    // BEFORE: Multiple filter operations
    getAllMemoriesOld: `
        db.memories
            .where("character").equals(character)
            .filter(m => m.isActive !== false)
            .reverse()
            .sortBy("timestamp")
    `,

    // AFTER: Use composite index
    getAllMemoriesOptimized: `
        db.memories
            .where("[character+isActive]").equals([character, true])
            .reverse()
            .sortBy("timestamp")
    `,

    // BEFORE: Filter after retrieval
    getMemoriesByCategoryOld: `
        db.memories
            .where("[character+category]").equals([character, category])
            .and(m => m.isActive)
    `,

    // AFTER: Direct composite index
    getMemoriesByCategoryOptimized: `
        db.memories
            .where("[character+category+isActive]").equals([character, category, true])
    `,

    // NEW: Efficient importance-based queries
    getTopMemoriesByImportance: `
        db.memories
            .where("[character+isActive+importance]")
            .between([character, true, 0.8], [character, true, 1.0])
            .reverse()
            .limit(10)
    `
};

// PERFORMANCE MONITORING UTILITIES
class MemoryDatabaseProfiler {
    constructor() {
        this.queryTimes = new Map();
        this.queryCount = new Map();
    }

    // Wrap database operations to measure performance
    async profileQuery(queryName, queryFn) {
        const start = performance.now();
        const result = await queryFn();
        const duration = performance.now() - start;

        // Update statistics
        if (!this.queryTimes.has(queryName)) {
            this.queryTimes.set(queryName, []);
            this.queryCount.set(queryName, 0);
        }

        this.queryTimes.get(queryName).push(duration);
        this.queryCount.set(queryName, this.queryCount.get(queryName) + 1);

        // Log slow queries
        if (duration > 50) {
            // 50ms threshold
            console.warn(`🐌 Slow query detected: ${queryName} took ${duration.toFixed(2)}ms`);
        }

        return result;
    }

    // Get performance statistics
    getStats() {
        const stats = {};

        for (const [queryName, times] of this.queryTimes.entries()) {
            const count = this.queryCount.get(queryName);
            const avgTime = times.reduce((sum, time) => sum + time, 0) / times.length;
            const maxTime = Math.max(...times);
            const minTime = Math.min(...times);

            stats[queryName] = {
                count,
                avgTime: Math.round(avgTime * 100) / 100,
                maxTime: Math.round(maxTime * 100) / 100,
                minTime: Math.round(minTime * 100) / 100,
                totalTime: Math.round(times.reduce((sum, time) => sum + time, 0) * 100) / 100
            };
        }

        return stats;
    }

    // Reset statistics
    reset() {
        this.queryTimes.clear();
        this.queryCount.clear();
    }
}

// MEMORY USAGE OPTIMIZATION
const MEMORY_CLEANUP_STRATEGIES = {
    // Strategy 1: Batch cleanup operations
    batchCleanup: async (db, maxBatchSize = 100) => {
        const oldMemories = await db.memories.where("isActive").equals(false).limit(maxBatchSize).toArray();

        if (oldMemories.length > 0) {
            await db.memories.bulkDelete(oldMemories.map(m => m.id));
            console.log(`🧹 Batch deleted ${oldMemories.length} inactive memories`);
        }
    },

    // Strategy 2: Incremental keyword cleanup
    cleanupKeywords: async db => {
        const memoriesWithEmptyKeywords = await db.memories
            .filter(m => !m.keywords || m.keywords.length === 0)
            .limit(50)
            .toArray();

        for (const memory of memoriesWithEmptyKeywords) {
            const keywords = deriveKeywords(memory.content || "");
            await db.memories.update(memory.id, { keywords });
        }
    },

    // Strategy 3: Compress old memories
    compressOldMemories: async (db, daysThreshold = 90) => {
        const cutoff = new Date();
        cutoff.setDate(cutoff.getDate() - daysThreshold);

        const oldMemories = await db.memories
            .where("timestamp")
            .below(cutoff)
            .and(m => m.isActive && !m.compressed)
            .limit(20)
            .toArray();

        for (const memory of oldMemories) {
            // Compress by removing redundant fields and shortening content
            const compressed = {
                compressed: true,
                originalLength: memory.content?.length || 0,
                content: memory.content?.substring(0, 100) + "...",
                // Remove non-essential fields
                sourceText: undefined,
                tags: memory.tags?.slice(0, 3) // Keep only top 3 tags
            };

            await db.memories.update(memory.id, compressed);
        }
    }
};

// EXPORT UTILITIES
if (typeof window !== "undefined") {
    window.KIMI_MEMORY_DB_OPTIMIZATION = {
        RECOMMENDED_MEMORY_INDEXES,
        OPTIMIZED_QUERY_PATTERNS,
        MemoryDatabaseProfiler,
        MEMORY_CLEANUP_STRATEGIES
    };
}

export { RECOMMENDED_MEMORY_INDEXES, OPTIMIZED_QUERY_PATTERNS, MemoryDatabaseProfiler, MEMORY_CLEANUP_STRATEGIES };