@alanhelmick/memorable/src/core/predictiveBehavior.js

An AI memory system enabling personalized, context-aware interactions through advanced memory management and emotional intelligence

import { getWeaviateClient } from '../config/weaviate.js';
import { getRedisClient } from '../config/redis.js';
import { logger } from '../utils/logger.js';

export class PredictiveBehavior {
  constructor() {
    this.weaviate = null;
    this.redis = null;
    this.personalityTraits = {
      openness: 0.5,
      conscientiousness: 0.5,
      extraversion: 0.5,
      agreeableness: 0.5,
      neuroticism: 0.5
    };
    this.learningRate = 0.1;
  }

  async initialize() {
    try {
      this.weaviate = getWeaviateClient();
      this.redis = getRedisClient();
      await this.loadPersonality();
      logger.info('Predictive Behavior System initialized');
    } catch (error) {
      logger.error('Failed to initialize Predictive Behavior System:', error);
      throw error;
    }
  }

  async loadPersonality() {
    try {
      const storedTraits = await this.redis.hGetAll('personality_traits');
      if (Object.keys(storedTraits).length > 0) {
        this.personalityTraits = Object.fromEntries(
          Object.entries(storedTraits).map(([key, value]) => [key, parseFloat(value)])
        );
      } else {
        await this.savePersonality();
      }
    } catch (error) {
      logger.error('Failed to load personality:', error);
      throw error;
    }
  }

  async savePersonality() {
    try {
      await this.redis.hSet(
        'personality_traits',
        Object.fromEntries(
          Object.entries(this.personalityTraits).map(([key, value]) => [key, value.toString()])
        )
      );
    } catch (error) {
      logger.error('Failed to save personality:', error);
      throw error;
    }
  }

  async predictBehavior(context) {
    try {
      // Analyze interaction patterns
      const patterns = await this.analyzePatterns(context);
      
      // Generate predictions
      const predictions = await this.generatePredictions(patterns);
      
      // Adapt personality based on context
      await this.adaptPersonality(context);
      
      // Prepare context-aware response
      const response = await this.prepareResponse(predictions);
      
      return response;
    } catch (error) {
      logger.error('Failed to predict behavior:', error);
      throw error;
    }
  }

  async analyzePatterns(context) {
    try {
      // Get recent interactions from Weaviate
      const recentInteractions = await this.weaviate.graphql
        .get()
        .withClassName('MemoryEmbedding')
        .withFields(['context', 'type', 'timestamp'])
        .withSort([{ path: ['timestamp'], order: 'desc' }])
        .withLimit(50)
        .do();

      // Extract patterns from interactions
      const patterns = {
        temporal: this.extractTemporalPatterns(recentInteractions),
        behavioral: this.extractBehavioralPatterns(recentInteractions),
        contextual: this.extractContextualPatterns(recentInteractions, context)
      };

      return patterns;
    } catch (error) {
      logger.error('Failed to analyze patterns:', error);
      throw error;
    }
  }

  extractTemporalPatterns(interactions) {
    // Analyze timing and frequency of interactions
    return {
      frequency: {},
      timeOfDay: {},
      dayOfWeek: {}
    };
  }

  extractBehavioralPatterns(interactions) {
    // Analyze user behavior patterns
    return {
      preferences: {},
      habits: {},
      responses: {}
    };
  }

  extractContextualPatterns(interactions, currentContext) {
    // Analyze patterns in similar contexts
    return {
      similarities: {},
      differences: {},
      trends: {}
    };
  }

  async generatePredictions(patterns) {
    try {
      const predictions = {
        nextAction: await this.predictNextAction(patterns),
        userNeeds: await this.predictUserNeeds(patterns),
        contextEvolution: await this.predictContextEvolution(patterns)
      };

      return predictions;
    } catch (error) {
      logger.error('Failed to generate predictions:', error);
      throw error;
    }
  }

  async predictNextAction(patterns) {
    // Predict the most likely next action
    return {
      action: null,
      confidence: 0,
      alternatives: []
    };
  }

  async predictUserNeeds(patterns) {
    // Predict potential user needs
    return {
      immediate: [],
      shortTerm: [],
      longTerm: []
    };
  }

  async predictContextEvolution(patterns) {
    // Predict how the context might evolve
    return {
      likely: [],
      possible: [],
      timeline: {}
    };
  }

  async adaptPersonality(context) {
    try {
      // Calculate personality adjustments based on context
      const adjustments = this.calculatePersonalityAdjustments(context);
      
      // Apply adjustments with learning rate
      for (const [trait, adjustment] of Object.entries(adjustments)) {
        this.personalityTraits[trait] += adjustment * this.learningRate;
        // Ensure traits stay within bounds [0, 1]
        this.personalityTraits[trait] = Math.max(0, Math.min(1, this.personalityTraits[trait]));
      }

      // Save updated personality
      await this.savePersonality();
      
      logger.info('Personality adapted successfully');
    } catch (error) {
      logger.error('Failed to adapt personality:', error);
      throw error;
    }
  }

  calculatePersonalityAdjustments(context) {
    // Calculate adjustments for each personality trait
    return {
      openness: 0,
      conscientiousness: 0,
      extraversion: 0,
      agreeableness: 0,
      neuroticism: 0
    };
  }

  async prepareResponse(predictions) {
    try {
      // Apply personality traits to response generation
      const response = {
        actions: this.filterActionsByPersonality(predictions.nextAction),
        style: this.determineResponseStyle(),
        timing: this.determineResponseTiming(predictions),
        content: await this.generateResponseContent(predictions)
      };

      return response;
    } catch (error) {
      logger.error('Failed to prepare response:', error);
      throw error;
    }
  }

  filterActionsByPersonality(actions) {
    // Filter and prioritize actions based on personality
    return actions;
  }

  determineResponseStyle() {
    // Determine communication style based on personality
    return {
      formality: this.personalityTraits.conscientiousness,
      enthusiasm: this.personalityTraits.extraversion,
      directness: 1 - this.personalityTraits.agreeableness,
      complexity: this.personalityTraits.openness
    };
  }

  determineResponseTiming(predictions) {
    // Determine optimal timing for response
    return {
      immediate: true,
      delay: 0,
      reason: 'immediate_response'
    };
  }

  async generateResponseContent(predictions) {
    // Generate response content based on predictions and personality
    return {
      message: '',
      suggestions: [],
      context: {}
    };
  }

  async cleanup() {
    logger.info('Cleaning up Predictive Behavior System...');
    await this.savePersonality();
    // Additional cleanup logic can be added here
  }
}