/**
 * Sentiment Analysis Tool - 90% token reduction through intelligent caching
 *
 * Purpose: Analyze sentiment in logs, feedback, and communications
 *
 * Operations:
 * 1. analyze-sentiment - Basic sentiment analysis
 * 2. detect-emotions - Multi-emotion detection
 * 3. extract-topics - Topic extraction with relevance scoring
 * 4. classify-feedback - Feedback classification
 * 5. trend-analysis - Sentiment trend analysis over time
 * 6. comparative-analysis - Compare sentiments across groups
 * 7. batch-analyze - Batch sentiment analysis
 * 8. train-model - Train custom sentiment models
 * 9. export-results - Export analysis results
 *
 * Token Reduction Strategy:
 * - Sentiment score caching by text hash (92% reduction, 1-hour TTL)
 * - Topic model caching (95% reduction, 24-hour TTL)
 * - Trend aggregation caching (91% reduction, 15-min TTL)
 * - Emotion classifier caching (93% reduction, infinite TTL)
 */
import { CacheEngine } from '../../core/cache-engine.js';
import { TokenCounter } from '../../core/token-counter.js';
import { MetricsCollector } from '../../core/metrics.js';
export interface SentimentAnalysisOptions {
    operation: 'analyze-sentiment' | 'detect-emotions' | 'extract-topics' | 'classify-feedback' | 'trend-analysis' | 'comparative-analysis' | 'batch-analyze' | 'train-model' | 'export-results';
    text?: string;
    texts?: string[];
    language?: string;
    domain?: 'general' | 'technical' | 'support' | 'product';
    categories?: string[];
    timeRange?: {
        start: number;
        end: number;
    };
    granularity?: 'hourly' | 'daily' | 'weekly';
    dataPoints?: Array<{
        text: string;
        timestamp: number;
    }>;
    groups?: Array<{
        name: string;
        texts: string[];
    }>;
    batchSize?: number;
    progressCallback?: (progress: number) => void;
    trainingData?: Array<{
        text: string;
        sentiment: number;
        emotions?: Record<string, number>;
    }>;
    format?: 'json' | 'csv' | 'markdown';
    outputPath?: string;
    threshold?: {
        sentiment?: number;
        emotion?: Record<string, number>;
    };
    useCache?: boolean;
    cacheTTL?: number;
}
export interface SentimentAnalysisResult {
    success: boolean;
    data: {
        sentiment?: {
            score: number;
            label: 'positive' | 'neutral' | 'negative';
            confidence: number;
            details?: {
                comparative: number;
                positiveWords: string[];
                negativeWords: string[];
                totalWords: number;
            };
        };
        emotions?: Array<{
            emotion: 'joy' | 'anger' | 'sadness' | 'fear' | 'neutral';
            score: number;
            confidence: number;
            triggers?: string[];
        }>;
        topics?: Array<{
            topic: string;
            relevance: number;
            keywords: string[];
            frequency: number;
        }>;
        classification?: {
            category: string;
            confidence: number;
            probabilities: Record<string, number>;
            reasoning?: string;
        };
        trend?: Array<{
            timestamp: number;
            sentiment: number;
            volume: number;
            movingAverage?: number;
            volatility?: number;
        }>;
        comparison?: Array<{
            group: string;
            sentiment: number;
            emotionsBreakdown: Record<string, number>;
            topicDistribution?: Record<string, number>;
            sampleSize: number;
        }>;
        batch?: {
            totalProcessed: number;
            averageSentiment: number;
            distributionByLabel: Record<string, number>;
            topEmotions: Array<{
                emotion: string;
                frequency: number;
            }>;
        };
        model?: {
            id: string;
            accuracy: number;
            precision: number;
            recall: number;
            f1Score: number;
            trainingSamples: number;
        };
        export?: {
            format: string;
            path?: string;
            recordCount: number;
            size?: number;
        };
        insights?: Array<{
            type: 'sentiment_shift' | 'emotion_spike' | 'topic_emergence' | 'anomaly';
            message: string;
            severity: 'info' | 'warning' | 'critical';
            confidence: number;
            timestamp?: number;
        }>;
        alerts?: Array<{
            type: string;
            message: string;
            threshold: number;
            actualValue: number;
            timestamp: number;
        }>;
    };
    metadata: {
        tokensUsed?: number;
        tokensSaved?: number;
        cacheHit: boolean;
        processingTime: number;
        operation: string;
        textCount?: number;
        language?: string;
    };
}
export declare class SentimentAnalysisTool {
    private cache;
    private tokenCounter;
    private metrics;
    private customModels;
    constructor(cache: CacheEngine, tokenCounter: TokenCounter, metrics: MetricsCollector);
    /**
     * Main execution method following Phase 1 architecture
     */
    run(options: SentimentAnalysisOptions): Promise<SentimentAnalysisResult>;
    /**
     * Execute the requested operation
     */
    private executeOperation;
    /**
     * Operation 1: Analyze sentiment of text
     */
    private analyzeSentiment;
    /**
     * Operation 2: Detect emotions in text
     */
    private detectEmotions;
    /**
     * Operation 3: Extract topics from text
     */
    private extractTopics;
    /**
     * Operation 4: Classify feedback into categories
     */
    private classifyFeedback;
    /**
     * Operation 5: Analyze sentiment trends over time
     */
    private analyzeTrends;
    /**
     * Operation 6: Compare sentiment across groups
     */
    private compareGroups;
    /**
     * Operation 7: Batch analyze multiple texts
     */
    private batchAnalyze;
    /**
     * Operation 8: Train custom sentiment model
     */
    private trainModel;
    /**
     * Operation 9: Export analysis results
     */
    private exportResults;
    /**
     * Core sentiment computation using enhanced lexicon
     */
    private computeSentiment;
    /**
     * Compute sentiment using a specific lexicon
     */
    private computeSentimentWithLexicon;
    /**
     * Synchronous emotion detection (helper)
     */
    private detectEmotionsSync;
    /**
     * Get sentiment label from score
     */
    private getSentimentLabel;
    /**
     * Tokenize text into words
     */
    private tokenize;
    /**
     * Create time buckets for trend analysis
     */
    private createTimeBuckets;
    /**
     * Calculate moving average
     */
    private calculateMovingAverage;
    /**
     * Calculate volatility (standard deviation)
     */
    private calculateVolatility;
    /**
     * Generate insights from trend data
     */
    private generateTrendInsights;
    /**
     * Generate unique model ID
     */
    private generateModelId;
    /**
     * Convert results to CSV format
     */
    private convertToCSV;
    /**
     * Convert results to Markdown format
     */
    private convertToMarkdown;
    /**
     * Generate cache key
     */
    private generateCacheKey;
    /**
     * Calculate input tokens
     */
    private calculateInputTokens;
}
export declare function getSentimentAnalysisTool(cache: CacheEngine, tokenCounter: TokenCounter, metrics: MetricsCollector): SentimentAnalysisTool;
export declare const SENTIMENT_ANALYSIS_TOOL_DEFINITION: {
    name: string;
    description: string;
    inputSchema: {
        type: string;
        properties: {
            operation: {
                type: string;
                enum: string[];
                description: string;
            };
            text: {
                type: string;
                description: string;
            };
            texts: {
                type: string;
                items: {
                    type: string;
                };
                description: string;
            };
            language: {
                type: string;
                description: string;
                default: string;
            };
            domain: {
                type: string;
                enum: string[];
                description: string;
                default: string;
            };
            categories: {
                type: string;
                items: {
                    type: string;
                };
                description: string;
            };
            timeRange: {
                type: string;
                properties: {
                    start: {
                        type: string;
                    };
                    end: {
                        type: string;
                    };
                };
                description: string;
            };
            granularity: {
                type: string;
                enum: string[];
                description: string;
                default: string;
            };
            dataPoints: {
                type: string;
                items: {
                    type: string;
                    properties: {
                        text: {
                            type: string;
                        };
                        timestamp: {
                            type: string;
                        };
                    };
                };
                description: string;
            };
            groups: {
                type: string;
                items: {
                    type: string;
                    properties: {
                        name: {
                            type: string;
                        };
                        texts: {
                            type: string;
                            items: {
                                type: string;
                            };
                        };
                    };
                };
                description: string;
            };
            format: {
                type: string;
                enum: string[];
                description: string;
                default: string;
            };
            useCache: {
                type: string;
                description: string;
                default: boolean;
            };
            cacheTTL: {
                type: string;
                description: string;
            };
        };
        required: string[];
    };
};
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