MCP Code Analysis & Quality Server

// Copyright 2025 Chris Bunting // Brief: Team preference learning service for MCP Code Analysis & Quality Server // Scope: Manages team preference learning, adaptation, and synchronization import { EventEmitter } from 'events'; import { AnalysisContext, UnifiedAnalysisResult, LoggerInterface, CacheInterface, PriorityLevel, SeverityLevel } from '@mcp-code-analysis/shared-types'; export interface TeamPreferenceConfig { enableLearning: boolean; enableAdaptation: boolean; enableSynchronization: boolean; learningRate: number; adaptationThreshold: number; conflictResolutionStrategy: ConflictResolutionStrategy; maxPreferencesPerUser: number; preferenceRetention: number; enableTeamBehaviorAnalysis: boolean; } export interface UserProfile { id: string; name: string; email: string; role: TeamRole; experience: ExperienceLevel; skills: string[]; preferences: UserPreference[]; behavior: UserBehavior; history: UserHistory[]; createdAt: Date; updatedAt: Date; lastActive: Date; } export interface UserPreference { id: string; category: PreferenceCategory; key: string; value: any; confidence: number; source: PreferenceSource; context: PreferenceContext; priority: PriorityLevel; createdAt: Date; updatedAt: Date; usageCount: number; effectiveness: number; } export interface UserBehavior { codingPatterns: CodingPattern[]; collaborationStyle: CollaborationStyle; communicationPatterns: CommunicationPattern[]; learningStyle: LearningStyle; productivityMetrics: ProductivityMetrics; errorPatterns: ErrorPattern[]; successMetrics: SuccessMetrics; } export interface UserHistory { timestamp: Date; action: UserAction; context: ActionContext; outcome: ActionResult; satisfaction: number; impact: ImpactAssessment; } export interface TeamProfile { id: string; name: string; description: string; members: string[]; preferences: TeamPreference[]; behavior: TeamBehavior; dynamics: TeamDynamics; performance: TeamPerformance; createdAt: Date; updatedAt: Date; } export interface TeamPreference { id: string; category: PreferenceCategory; key: string; value: any; consensus: number; conflicts: PreferenceConflict[]; source: PreferenceSource; context: PreferenceContext; priority: PriorityLevel; createdAt: Date; updatedAt: Date; adaptationHistory: AdaptationRecord[]; } export interface TeamBehavior { collaborationPatterns: CollaborationPattern[]; communicationStyle: TeamCommunicationStyle; decisionMaking: DecisionMakingStyle; conflictResolution: ConflictResolutionStyle; learningPatterns: LearningPattern[]; productivityPatterns: ProductivityPattern[]; } export interface TeamDynamics { cohesion: number; communication: number; collaboration: number; conflict: number; satisfaction: number; performance: number; adaptation: number; } export interface TeamPerformance { velocity: number; quality: number; efficiency: number; innovation: number; collaboration: number; satisfaction: number; trends: PerformanceTrend[]; } export interface PreferenceLearningRequest { userId: string; teamId: string; action: UserAction; context: ActionContext; outcome: ActionResult; timestamp: Date; } export interface PreferenceAdaptationRequest { teamId: string; context: AdaptationContext; triggers: AdaptationTrigger[]; options: AdaptationOptions; } export interface PreferenceSynchronizationRequest { sourceTeamId: string; targetTeamId: string; preferences: string[]; options: SynchronizationOptions; } export interface PreferenceConflictResolutionRequest { teamId: string; conflicts: PreferenceConflict[]; resolutionStrategy: ConflictResolutionStrategy; options: ResolutionOptions; } export interface CodingPattern { id: string; pattern: string; frequency: number; context: PatternContext; effectiveness: number; lastUsed: Date; } export interface CollaborationStyle { preferredMethods: CollaborationMethod[]; communicationFrequency: CommunicationFrequency; decisionMaking: DecisionMakingPreference; feedbackStyle: FeedbackStyle; conflictHandling: ConflictHandlingStyle; } export interface CommunicationPattern { id: string; type: CommunicationType; frequency: number; effectiveness: number; context: CommunicationContext; timestamp: Date; } export interface LearningStyle { preferredMethods: LearningMethod[]; pace: LearningPace; depth: LearningDepth; socialPreference: SocialLearningPreference; } export interface ProductivityMetrics { codeOutput: number; qualityScore: number; efficiency: number; focusTime: number; contextSwitches: number; taskCompletion: number; } export interface ErrorPattern { id: string; type: ErrorType; frequency: number; context: ErrorContext; severity: SeverityLevel; lastOccurred: Date; resolution: string; } export interface SuccessMetrics { achievements: Achievement[]; recognition: Recognition[]; impact: number; satisfaction: number; growth: number; } export interface CollaborationPattern { id: string; type: CollaborationType; participants: string[]; frequency: number; effectiveness: number; context: CollaborationContext; lastUsed: Date; } export interface TeamCommunicationStyle { primaryChannels: CommunicationChannel[]; frequency: CommunicationFrequency; formality: FormalityLevel; transparency: TransparencyLevel; documentation: DocumentationPreference; } export interface DecisionMakingStyle { approach: DecisionApproach; participation: ParticipationLevel; speed: DecisionSpeed; criteria: DecisionCriteria[]; } export interface ConflictResolutionStyle { approach: ConflictApproach; mediation: MediationPreference; compromise: CompromisePreference; escalation: EscalationPreference; } export interface LearningPattern { id: string; type: LearningType; participants: string[]; frequency: number; effectiveness: number; context: LearningContext; lastUsed: Date; } export interface ProductivityPattern { id: string; type: ProductivityType; factors: ProductivityFactor[]; effectiveness: number; context: ProductivityContext; lastObserved: Date; } export interface PerformanceTrend { metric: string; timeframe: Timeframe; trend: TrendDirection; data: TrendPoint[]; prediction: TrendPrediction; } export interface AdaptationRecord { timestamp: Date; trigger: AdaptationTrigger; change: PreferenceChange; impact: AdaptationImpact; effectiveness: number; } export interface PreferenceConflict { id: string; preferenceId: string; user1Id: string; user2Id: string; type: ConflictType; severity: ConflictSeverity; context: ConflictContext; resolution: ConflictResolution | null; } export interface PatternContext { projectType: string; technology: string[]; complexity: number; domain: string; timeframe: Timeframe; } export interface CommunicationContext { channel: CommunicationChannel; purpose: CommunicationPurpose; participants: string[]; urgency: UrgencyLevel; } export interface ErrorContext { task: string; technology: string; complexity: number; timePressure: number; context: string; } export interface CollaborationContext { project: string; task: string; participants: string[]; duration: number; outcome: string; } export interface LearningContext { topic: string; method: LearningMethod; participants: string[]; duration: number; outcome: string; } export interface ProductivityContext { project: string; task: string; environment: WorkEnvironment; timeOfDay: string; duration: number; } export interface AdaptationContext { project: string; team: string; trigger: AdaptationTrigger; environment: AdaptationEnvironment; timeframe: Timeframe; } export interface ConflictContext { project: string; task: string; users: string[]; context: string; severity: ConflictSeverity; } export interface PreferenceContext { project: string; technology: string[]; domain: string; timeframe: Timeframe; environment: WorkEnvironment; } export interface ActionContext { project: string; task: string; environment: WorkEnvironment; tools: string[]; collaborators: string[]; timePressure: number; } export interface ImpactAssessment { technicalImpact: number; businessImpact: number; userImpact: number; teamImpact: number; overallImpact: number; } export interface Achievement { id: string; type: AchievementType; description: string; date: Date; impact: number; recognition: string[]; } export interface Recognition { id: string; type: RecognitionType; source: string; description: string; date: Date; value: number; } export interface AdaptationOptions { maxChanges: number; confidenceThreshold: number; impactThreshold: number; includeReasoning: boolean; includeAlternatives: boolean; } export interface SynchronizationOptions { overwriteConflicts: boolean; mergeStrategy: MergeStrategy; includeReasoning: boolean; validationLevel: ValidationLevel; } export interface ResolutionOptions { includeReasoning: boolean; includeAlternatives: boolean; votingEnabled: boolean; votingThreshold: number; } export interface PreferenceChange { preferenceId: string; oldValue: any; newValue: any; reason: string; confidence: number; } export interface AdaptationImpact { userSatisfaction: number; teamPerformance: number; qualityImpact: number; productivityImpact: number; overallImpact: number; } export interface ConflictResolution { strategy: ConflictResolutionStrategy; decision: string; reasoning: string; satisfaction: number; effectiveness: number; } export interface TrendPoint { timestamp: Date; value: number; baseline: number; target: number; } export interface TrendPrediction { timeframe: Timeframe; predictedValue: number; confidence: number; factors: string[]; } export interface ActionResult { success: boolean; duration: number; quality: number; efficiency: number; satisfaction: number; errors: string[]; lessons: string[]; } export interface UserAction { type: ActionType; description: string; tools: string[]; collaborators: string[]; complexity: number; } export enum PreferenceCategory { CODING_STYLE = 'coding-style', ARCHITECTURE = 'architecture', TESTING = 'testing', DOCUMENTATION = 'documentation', COLLABORATION = 'collaboration', COMMUNICATION = 'communication', LEARNING = 'learning', PRODUCTIVITY = 'productivity', QUALITY = 'quality', SECURITY = 'security', PERFORMANCE = 'performance' } export enum PreferenceSource { USER_EXPLICIT = 'user-explicit', LEARNED_BEHAVIOR = 'learned-behavior', TEAM_CONSENSUS = 'team-consensus', ORGANIZATIONAL_POLICY = 'organizational-policy', INDUSTRY_BEST_PRACTICE = 'industry-best-practice', AUTOMATED_ANALYSIS = 'automated-analysis', PEER_RECOMMENDATION = 'peer-recommendation' } export enum TeamRole { DEVELOPER = 'developer', SENIOR_DEVELOPER = 'senior-developer', LEAD_DEVELOPER = 'lead-developer', ARCHITECT = 'architect', QA_ENGINEER = 'qa-engineer', DEVOPS_ENGINEER = 'devops-engineer', PRODUCT_MANAGER = 'product-manager', PROJECT_MANAGER = 'project-manager', TEAM_LEAD = 'team-lead', TECHNICAL_LEAD = 'technical-lead' } export enum ExperienceLevel { JUNIOR = 'junior', MID = 'mid', SENIOR = 'senior', EXPERT = 'expert' } export enum ConflictResolutionStrategy { MAJORITY_VOTE = 'majority-vote', CONSENSUS = 'consensus', HIERARCHICAL = 'hierarchical', AUTOMATED = 'automated', MEDIATION = 'mediation', COMPROMISE = 'compromise', PREFERENCE_BASED = 'preference-based' } export enum ActionType { CODE_REVIEW = 'code-review', TASK_COMPLETION = 'task-completion', BUG_FIX = 'bug-fix', FEATURE_DEVELOPMENT = 'feature-development', REFACTORING = 'refactoring', TESTING = 'testing', DOCUMENTATION = 'documentation', COLLABORATION = 'collaboration', LEARNING = 'learning', MENTORING = 'mentoring' } export enum ErrorType { SYNTAX = 'syntax', LOGIC = 'logic', PERFORMANCE = 'performance', SECURITY = 'security', COMPATIBILITY = 'compatibility', CONFIGURATION = 'configuration', DEPENDENCY = 'dependency', COMMUNICATION = 'communication' } export enum CollaborationMethod { PAIR_PROGRAMMING = 'pair-programming', CODE_REVIEW = 'code-review', MOB_PROGRAMMING = 'mob-programming', SWARM_PROGRAMMING = 'swarm-programming', DESIGN_SESSION = 'design-session', STANDUP = 'standup', RETROSPECTIVE = 'retrospective' } export enum CommunicationFrequency { CONTINUOUS = 'continuous', FREQUENT = 'frequent', MODERATE = 'moderate', OCCASIONAL = 'occasional', MINIMAL = 'minimal' } export enum DecisionMakingPreference { AUTONOMOUS = 'autonomous', COLLABORATIVE = 'collaborative', CONSENSUS_DRIVEN = 'consensus-driven', HIERARCHICAL = 'hierarchical', DATA_DRIVEN = 'data-driven' } export enum FeedbackStyle { DIRECT = 'direct', CONSTRUCTIVE = 'constructive', SUPPORTIVE = 'supportive', DETAILED = 'detailed', CONCISE = 'concise' } export enum ConflictHandlingStyle { CONFRONTING = 'confronting', COLLABORATING = 'collaborating', COMPROMISING = 'compromising', AVOIDING = 'avoiding', ACCOMMODATING = 'accommodating' } export enum CommunicationType { SYNC_VERBAL = 'sync-verbal', SYNC_WRITTEN = 'sync-written', ASYNC_WRITTEN = 'async-written', FORMAL = 'formal', INFORMAL = 'informal' } export enum LearningMethod { HANDS_ON = 'hands-on', VISUAL = 'visual', AUDITORY = 'auditory', READING = 'reading', SOCIAL = 'social', SELF_PACED = 'self-paced' } export enum LearningPace { FAST = 'fast', MODERATE = 'moderate', SLOW = 'slow', VARIABLE = 'variable' } export enum LearningDepth { SURFACE = 'surface', MODERATE = 'moderate', DEEP = 'deep', EXPERT = 'expert' } export enum SocialLearningPreference { HIGHLY_SOCIAL = 'highly-social', SOCIAL = 'social', NEUTRAL = 'neutral', INDEPENDENT = 'independent', HIGHLY_INDEPENDENT = 'highly-independent' } export enum CollaborationType { TASK_COLLABORATION = 'task-collaboration', KNOWLEDGE_SHARING = 'knowledge-sharing', PROBLEM_SOLVING = 'problem-solving', MENTORING = 'mentoring', REVIEW = 'review' } export enum CommunicationChannel { FACE_TO_FACE = 'face-to-face', VIDEO_CALL = 'video-call', PHONE = 'phone', CHAT = 'chat', EMAIL = 'email', DOCUMENT = 'document', CODE_COMMENT = 'code-comment' } export enum CommunicationPurpose { COORDINATION = 'coordination', INFORMATION_SHARING = 'information-sharing', DECISION_MAKING = 'decision-making', PROBLEM_SOLVING = 'problem-solving', SOCIAL = 'social' } export enum UrgencyLevel { LOW = 'low', MEDIUM = 'medium', HIGH = 'high', CRITICAL = 'critical' } export enum FormalityLevel { INFORMAL = 'informal', CASUAL = 'casual', PROFESSIONAL = 'professional', FORMAL = 'formal' } export enum TransparencyLevel { LOW = 'low', MEDIUM = 'medium', HIGH = 'high', COMPLETE = 'complete' } export enum DocumentationPreference { MINIMAL = 'minimal', ADEQUATE = 'adequate', COMPREHENSIVE = 'comprehensive', EXTENSIVE = 'extensive' } export enum DecisionApproach { INTUITIVE = 'intuitive', ANALYTICAL = 'analytical', SYSTEMATIC = 'systematic', CREATIVE = 'creative' } export enum ParticipationLevel { INDIVIDUAL = 'individual', CONSULTATIVE = 'consultative', PARTICIPATIVE = 'participative', COLLABORATIVE = 'collaborative' } export enum DecisionSpeed { IMMEDIATE = 'immediate', QUICK = 'quick', MODERATE = 'moderate', DELIBERATE = 'deliberate' } export enum ConflictApproach { COMPETING = 'competing', COLLABORATING = 'collaborating', COMPROMISING = 'compromising', AVOIDING = 'avoiding', ACCOMMODATING = 'accommodating' } export enum MediationPreference { FORMAL = 'formal', INFORMAL = 'informal', PEER = 'peer', MANAGERIAL = 'managerial', EXTERNAL = 'external' } export enum CompromisePreference { SEEK_WIN_WIN = 'seek-win-win', PRACTICAL = 'practical', PRINCIPLED = 'principled', FLEXIBLE = 'flexible' } export enum EscalationPreference { IMMEDIATE = 'immediate', STEP_BY_STEP = 'step-by-step', AS_NEEDED = 'as-needed', AVOID_ESCALATION = 'avoid-escalation' } export enum LearningType { SKILL_ACQUISITION = 'skill-acquisition', KNOWLEDGE_SHARING = 'knowledge-sharing', PROBLEM_SOLVING = 'problem-solving', BEST_PRACTICE = 'best-practice', INNOVATION = 'innovation' } export enum ProductivityType { FOCUS_TIME = 'focus-time', TASK_SWITCHING = 'task-switching', COLLABORATION = 'collaboration', LEARNING = 'learning', TOOL_USAGE = 'tool-usage' } export enum ProductivityFactor { ENVIRONMENT = 'environment', TIME_OF_DAY = 'time-of-day', TOOLS = 'tools', COLLABORATORS = 'collaborators', TASK_TYPE = 'task-type', MOTIVATION = 'motivation' } export enum Timeframe { HOUR = 'hour', DAY = 'day', WEEK = 'week', MONTH = 'month', QUARTER = 'quarter', YEAR = 'year' } export enum TrendDirection { IMPROVING = 'improving', STABLE = 'stable', DECLINING = 'declining' } export enum AdaptationTrigger { PERFORMANCE_DECLINE = 'performance-decline', CONFLICT_INCREASE = 'conflict-increase', SATISFACTION_DECREASE = 'satisfaction-decrease', TEAM_CHANGE = 'team-change', PROJECT_CHANGE = 'project-change', FEEDBACK_RECEIVED = 'feedback-received' } export enum ConflictType { VALUE = 'value', PREFERENCE = 'preference', APPROACH = 'approach', PRIORITY = 'priority', STYLE = 'style' } export enum ConflictSeverity { LOW = 'low', MEDIUM = 'medium', HIGH = 'high', CRITICAL = 'critical' } export enum AdaptationEnvironment { STABLE = 'stable', CHANGING = 'changing', DYNAMIC = 'dynamic', UNCERTAIN = 'uncertain' } export enum WorkEnvironment { OFFICE = 'office', REMOTE = 'remote', HYBRID = 'hybrid', COLLABORATIVE = 'collaborative', FOCUSED = 'focused' } export enum MergeStrategy { SOURCE_WINS = 'source-wins', TARGET_WINS = 'target-wins', MERGE = 'merge', MANUAL = 'manual' } export enum ValidationLevel { BASIC = 'basic', STANDARD = 'standard', THOROUGH = 'thorough' } export enum AchievementType { TECHNICAL = 'technical', LEADERSHIP = 'leadership', COLLABORATION = 'collaboration', INNOVATION = 'innovation', MENTORING = 'mentoring' } export enum RecognitionType { PEER = 'peer', MANAGERIAL = 'managerial', ORGANIZATIONAL = 'organizational', EXTERNAL = 'external' } export class TeamPreferenceLearningService extends EventEmitter { private config: TeamPreferenceConfig; private cache: CacheInterface; private logger: LoggerInterface; private userProfiles: Map<string, UserProfile> = new Map(); private teamProfiles: Map<string, TeamProfile> = new Map(); private learningAlgorithms: Map<LearningAlgorithmType, LearningAlgorithm> = new Map(); private adaptationAlgorithms: Map<AdaptationAlgorithmType, AdaptationAlgorithm> = new Map(); constructor(config: TeamPreferenceConfig, cache: CacheInterface, logger: LoggerInterface) { super(); this.config = config; this.cache = cache; this.logger = logger; this.setupEventHandlers(); this.initializeAlgorithms(); } private setupEventHandlers(): void { this.on('preference-learned', this.handlePreferenceLearned.bind(this)); this.on('preference-adapted', this.handlePreferenceAdapted.bind(this)); this.on('preference-synchronized', this.handlePreferenceSynchronized.bind(this)); this.on('conflict-resolved', this.handleConflictResolved.bind(this)); } private initializeAlgorithms(): void { // Initialize learning algorithms this.learningAlgorithms.set(LearningAlgorithmType.BEHAVIORAL, new BehavioralLearningAlgorithm()); this.learningAlgorithms.set(LearningAlgorithmType.COLLABORATIVE, new CollaborativeLearningAlgorithm()); this.learningAlgorithms.set(LearningAlgorithmType.ADAPTIVE, new AdaptiveLearningAlgorithm()); // Initialize adaptation algorithms this.adaptationAlgorithms.set(AdaptationAlgorithmType.PERFORMANCE_BASED, new PerformanceBasedAdaptationAlgorithm()); this.adaptationAlgorithms.set(AdaptationAlgorithmType.CONFLICT_BASED, new ConflictBasedAdaptationAlgorithm()); this.adaptationAlgorithms.set(AdaptationAlgorithmType.SATISFACTION_BASED, new SatisfactionBasedAdaptationAlgorithm()); } async initialize(): Promise<void> { this.logger.info('Initializing Team Preference Learning Service'); // Load existing profiles from cache await this.loadProfiles(); this.logger.info('Team Preference Learning Service initialized successfully'); } async createUserProfile(userData: Partial<UserProfile>): Promise<UserProfile> { const profile: UserProfile = { id: this.generateProfileId(), name: userData.name || '', email: userData.email || '', role: userData.role || TeamRole.DEVELOPER, experience: userData.experience || ExperienceLevel.MID, skills: userData.skills || [], preferences: [], behavior: userData.behavior || this.createDefaultBehavior(), history: [], createdAt: new Date(), updatedAt: new Date(), lastActive: new Date() }; this.userProfiles.set(profile.id, profile); await this.saveUserProfile(profile.id); this.emit('user-profile-created', profile); this.logger.info(`User profile created for: ${profile.name}`); return profile; } async createTeamProfile(teamData: Partial<TeamProfile>): Promise<TeamProfile> { const profile: TeamProfile = { id: this.generateTeamId(), name: teamData.name || '', description: teamData.description || '', members: teamData.members || [], preferences: [], behavior: teamData.behavior || this.createDefaultTeamBehavior(), dynamics: teamData.dynamics || this.createDefaultTeamDynamics(), performance: teamData.performance || this.createDefaultTeamPerformance(), createdAt: new Date(), updatedAt: new Date() }; this.teamProfiles.set(profile.id, profile); await this.saveTeamProfile(profile.id); this.emit('team-profile-created', profile); this.logger.info(`Team profile created for: ${profile.name}`); return profile; } async learnFromUserAction(request: PreferenceLearningRequest): Promise<boolean> { try { this.logger.info(`Learning from user action for user: ${request.userId}`); const user = this.userProfiles.get(request.userId); if (!user) { throw new Error(`User profile not found: ${request.userId}`); } // Record user action in history const historyEntry: UserHistory = { timestamp: request.timestamp, action: request.action, context: request.context, outcome: request.outcome, satisfaction: this.calculateSatisfaction(request.outcome), impact: this.calculateImpact(request.outcome) }; user.history.push(historyEntry); user.lastActive = new Date(); // Update user behavior patterns await this.updateUserBehavior(user, request); // Learn preferences from action if (this.config.enableLearning) { await this.learnPreferences(user, request); } // Update team profile if user belongs to a team if (request.teamId) { const team = this.teamProfiles.get(request.teamId); if (team) { await this.updateTeamBehavior(team, user, request); } } // Save updated profiles await this.saveUserProfile(user.id); if (request.teamId) { await this.saveTeamProfile(request.teamId); } this.emit('preference-learned', { userId: request.userId, teamId: request.teamId, action: request.action.type }); this.logger.info(`Successfully learned from user action for user: ${request.userId}`); return true; } catch (error) { this.logger.error('Failed to learn from user action:', error); return false; } } async adaptTeamPreferences(request: PreferenceAdaptationRequest): Promise<boolean> { try { this.logger.info(`Adapting team preferences for team: ${request.teamId}`); const team = this.teamProfiles.get(request.teamId); if (!team) { throw new Error(`Team profile not found: ${request.teamId}`); } // Analyze adaptation triggers const analysis = await this.analyzeAdaptationTriggers(request.triggers, team); if (analysis.shouldAdapt) { // Select and apply adaptation algorithm const algorithm = this.selectAdaptationAlgorithm(analysis.primaryTrigger); const adaptation = await algorithm.adapt(request, team, analysis); if (adaptation.success) { // Apply adaptation changes for (const change of adaptation.changes) { await this.applyPreferenceChange(team, change); } // Record adaptation this.recordAdaptation(team, adaptation); // Update team dynamics await this.updateTeamDynamics(team, adaptation); team.updatedAt = new Date(); await this.saveTeamProfile(team.id); this.emit('preference-adapted', { teamId: request.teamId, changes: adaptation.changes.length, effectiveness: adaptation.effectiveness }); this.logger.info(`Successfully adapted team preferences for team: ${request.teamId}`); return true; } } this.logger.info(`No adaptation needed for team: ${request.teamId}`); return false; } catch (error) { this.logger.error('Failed to adapt team preferences:', error); return false; } } async synchronizePreferences(request: PreferenceSynchronizationRequest): Promise<boolean> { try { this.logger.info(`Synchronizing preferences from team ${request.sourceTeamId} to team ${request.targetTeamId}`); const sourceTeam = this.teamProfiles.get(request.sourceTeamId); const targetTeam = this.teamProfiles.get(request.targetTeamId); if (!sourceTeam || !targetTeam) { throw new Error('Source or target team profile not found'); } let synchronizedCount = 0; let conflictCount = 0; for (const preferenceId of request.preferences) { const sourcePreference = sourceTeam.preferences.find(p => p.id === preferenceId); if (sourcePreference) { const targetPreference = targetTeam.preferences.find(p => p.category === sourcePreference.category && p.key === sourcePreference.key ); if (targetPreference) { // Handle conflict if (request.options.overwriteConflicts) { targetPreference.value = sourcePreference.value; targetPreference.source = PreferenceSource.TEAM_CONSENSUS; targetPreference.updatedAt = new Date(); synchronizedCount++; } else { conflictCount++; } } else { // Create new preference const newPreference: TeamPreference = { ...sourcePreference, id: this.generatePreferenceId(), consensus: 0.5, // Start with neutral consensus conflicts: [], createdAt: new Date(), updatedAt: new Date(), adaptationHistory: [] }; targetTeam.preferences.push(newPreference); synchronizedCount++; } } } if (synchronizedCount > 0) { targetTeam.updatedAt = new Date(); await this.saveTeamProfile(targetTeam.id); this.emit('preference-synchronized', { sourceTeamId: request.sourceTeamId, targetTeamId: request.targetTeamId, synchronizedCount, conflictCount }); this.logger.info(`Successfully synchronized ${synchronizedCount} preferences with ${conflictCount} conflicts`); return true; } this.logger.info('No preferences synchronized'); return false; } catch (error) { this.logger.error('Failed to synchronize preferences:', error); return false; } } async resolveConflicts(request: PreferenceConflictResolutionRequest): Promise<boolean> { try { this.logger.info(`Resolving preference conflicts for team: ${request.teamId}`); const team = this.teamProfiles.get(request.teamId); if (!team) { throw new Error(`Team profile not found: ${request.teamId}`); } let resolvedCount = 0; for (const conflict of request.conflicts) { const resolution = await this.resolveSingleConflict(conflict, request.resolutionStrategy, request.options); if (resolution) { // Apply resolution const preference = team.preferences.find(p => p.id === conflict.preferenceId); if (preference) { preference.conflicts = preference.conflicts.filter(c => c.id !== conflict.id); if (resolution.resolution) { conflict.resolution = resolution.resolution; } resolvedCount++; } } } if (resolvedCount > 0) { team.updatedAt = new Date(); await this.saveTeamProfile(team.id); this.emit('conflict-resolved', { teamId: request.teamId, resolvedCount, totalConflicts: request.conflicts.length }); this.logger.info(`Successfully resolved ${resolvedCount} conflicts for team: ${request.teamId}`); return true; } this.logger.info(`No conflicts resolved for team: ${request.teamId}`); return false; } catch (error) { this.logger.error('Failed to resolve conflicts:', error); return false; } } async getUserProfile(userId: string): Promise<UserProfile | null> { return this.userProfiles.get(userId) || null; } async getTeamProfile(teamId: string): Promise<TeamProfile | null> { return this.teamProfiles.get(teamId) || null; } async getUserPreferences(userId: string, category?: PreferenceCategory): Promise<UserPreference[]> { const user = this.userProfiles.get(userId); if (!user) return []; if (category) { return user.preferences.filter(p => p.category === category); } return user.preferences; } async getTeamPreferences(teamId: string, category?: PreferenceCategory): Promise<TeamPreference[]> { const team = this.teamProfiles.get(teamId); if (!team) return []; if (category) { return team.preferences.filter(p => p.category === category); } return team.preferences; } async getTeamDynamics(teamId: string): Promise<TeamDynamics | null> { const team = this.teamProfiles.get(teamId); return team ? team.dynamics : null; } async getTeamPerformance(teamId: string): Promise<TeamPerformance | null> { const team = this.teamProfiles.get(teamId); return team ? team.performance : null; } private async updateUserBehavior(user: UserProfile, request: PreferenceLearningRequest): Promise<void> { // Update coding patterns if (request.action.type === ActionType.TASK_COMPLETION || request.action.type === ActionType.FEATURE_DEVELOPMENT) { await this.updateCodingPatterns(user.behavior, request); } // Update communication patterns if (request.action.collaborators.length > 0) { await this.updateCommunicationPatterns(user.behavior, request); } // Update productivity metrics await this.updateProductivityMetrics(user.behavior, request); // Update error patterns if there were errors if (request.outcome.errors.length > 0) { await this.updateErrorPatterns(user.behavior, request); } // Update success metrics if successful if (request.outcome.success) { await this.updateSuccessMetrics(user.behavior, request); } } private async updateTeamBehavior(team: TeamProfile, user: UserProfile, request: PreferenceLearningRequest): Promise<void> { // Update collaboration patterns if (request.action.collaborators.length > 0) { await this.updateCollaborationPatterns(team.behavior, request); } // Update learning patterns if (request.action.type === ActionType.LEARNING) { await this.updateLearningPatterns(team.behavior, request); } // Update productivity patterns await this.updateProductivityPatterns(team.behavior, request); // Update team dynamics await this.updateTeamDynamicsFromAction(team, user, request); } private async learnPreferences(user: UserProfile, request: PreferenceLearningRequest): Promise<void> { // Use learning algorithms to extract preferences from user actions for (const [type, algorithm] of this.learningAlgorithms) { try { const learnedPreferences = await algorithm.learn(request, user); for (const learnedPref of learnedPreferences) { // Check if preference already exists const existingPref = user.preferences.find(p => p.category === learnedPref.category && p.key === learnedPref.key ); if (existingPref) { // Update existing preference existingPref.value = learnedPref.value; existingPref.confidence = Math.max(existingPref.confidence, learnedPref.confidence); existingPref.updatedAt = new Date(); existingPref.usageCount++; } else { // Create new preference const newPreference: UserPreference = { ...learnedPref, id: this.generatePreferenceId(), createdAt: new Date(), updatedAt: new Date(), usageCount: 1, effectiveness: 0.5 // Start with neutral effectiveness }; user.preferences.push(newPreference); } } } catch (error) { this.logger.warn(`Failed to learn preferences with algorithm ${type}:`, error); } } // Limit preferences to max count if (user.preferences.length > this.config.maxPreferencesPerUser) { // Sort by effectiveness and usage, keep top preferences user.preferences.sort((a, b) => (b.effectiveness + b.usageCount * 0.1) - (a.effectiveness + a.usageCount * 0.1) ); user.preferences = user.preferences.slice(0, this.config.maxPreferencesPerUser); } } private async analyzeAdaptationTriggers(triggers: AdaptationTrigger[], team: TeamProfile): Promise<AdaptationAnalysis> { let shouldAdapt = false; let primaryTrigger: AdaptationTrigger | null = null; let maxSeverity = 0; for (const trigger of triggers) { const severity = await this.calculateTriggerSeverity(trigger, team); if (severity >= this.config.adaptationThreshold) { shouldAdapt = true; if (severity > maxSeverity) { maxSeverity = severity; primaryTrigger = trigger; } } } return { shouldAdapt, primaryTrigger, severity: maxSeverity, recommendations: shouldAdapt ? await this.generateAdaptationRecommendations(triggers, team) : [] }; } private selectAdaptationAlgorithm(trigger: AdaptationTrigger): AdaptationAlgorithm { switch (trigger) { case AdaptationTrigger.PERFORMANCE_DECLINE: return this.adaptationAlgorithms.get(AdaptationAlgorithmType.PERFORMANCE_BASED)!; case AdaptationTrigger.CONFLICT_INCREASE: return this.adaptationAlgorithms.get(AdaptationAlgorithmType.CONFLICT_BASED)!; case AdaptationTrigger.SATISFACTION_DECREASE: return this.adaptationAlgorithms.get(AdaptationAlgorithmType.SATISFACTION_BASED)!; default: return this.adaptationAlgorithms.get(AdaptationAlgorithmType.PERFORMANCE_BASED)!; } } private async applyPreferenceChange(team: TeamProfile, change: PreferenceChange): Promise<void> { const preference = team.preferences.find(p => p.id === change.preferenceId); if (preference) { preference.value = change.newValue; preference.updatedAt = new Date(); // Record adaptation const adaptationRecord: AdaptationRecord = { timestamp: new Date(), trigger: AdaptationTrigger.PERFORMANCE_DECLINE, // This should be passed in change, impact: { userSatisfaction: 0, teamPerformance: 0, qualityImpact: 0, productivityImpact: 0, overallImpact: 0 }, effectiveness: change.confidence }; preference.adaptationHistory.push(adaptationRecord); } } private recordAdaptation(team: TeamProfile, adaptation: AdaptationResult): void { // Record adaptation in team performance metrics // This would update performance trends and metrics } private async updateTeamDynamics(team: TeamProfile, adaptation: AdaptationResult): Promise<void> { // Update team dynamics based on adaptation effectiveness const effectiveness = adaptation.effectiveness; team.dynamics.adaptation = Math.min(100, team.dynamics.adaptation + effectiveness * 10); team.dynamics.cohesion = Math.min(100, team.dynamics.cohesion + effectiveness * 5); team.dynamics.collaboration = Math.min(100, team.dynamics.collaboration + effectiveness * 5); // Update performance metrics team.performance.quality = Math.min(100, team.performance.quality + effectiveness * 3); team.performance.collaboration = Math.min(100, team.performance.collaboration + effectiveness * 4); } private async resolveSingleConflict( conflict: PreferenceConflict, strategy: ConflictResolutionStrategy, options: ResolutionOptions ): Promise<ConflictResolution | null> { // Implement conflict resolution logic based on strategy switch (strategy) { case ConflictResolutionStrategy.MAJORITY_VOTE: return await this.resolveByMajorityVote(conflict, options); case ConflictResolutionStrategy.CONSENSUS: return await this.resolveByConsensus(conflict, options); case ConflictResolutionStrategy.HIERARCHICAL: return await this.resolveByHierarchy(conflict, options); default: return null; } } private async resolveByMajorityVote(conflict: PreferenceConflict, options: ResolutionOptions): Promise<ConflictResolution | null> { // Simulate majority vote resolution return { strategy: ConflictResolutionStrategy.MAJORITY_VOTE, decision: 'Majority decision', reasoning: 'Resolved by majority vote among team members', satisfaction: 0.7, effectiveness: 0.8 }; } private async resolveByConsensus(conflict: PreferenceConflict, options: ResolutionOptions): Promise<ConflictResolution | null> { // Simulate consensus resolution return { strategy: ConflictResolutionStrategy.CONSENSUS, decision: 'Consensus decision', reasoning: 'Resolved through team consensus building', satisfaction: 0.9, effectiveness: 0.9 }; } private async resolveByHierarchy(conflict: PreferenceConflict, options: ResolutionOptions): Promise<ConflictResolution | null> { // Simulate hierarchical resolution return { strategy: ConflictResolutionStrategy.HIERARCHICAL, decision: 'Hierarchical decision', reasoning: 'Resolved by team lead or manager', satisfaction: 0.6, effectiveness: 0.7 }; } private createDefaultBehavior(): UserBehavior { return { codingPatterns: [], collaborationStyle: { preferredMethods: [CollaborationMethod.CODE_REVIEW], communicationFrequency: CommunicationFrequency.MODERATE, decisionMaking: DecisionMakingPreference.COLLABORATIVE, feedbackStyle: FeedbackStyle.CONSTRUCTIVE, conflictHandling: ConflictHandlingStyle.COLLABORATING }, communicationPatterns: [], learningStyle: { preferredMethods: [LearningMethod.HANDS_ON], pace: LearningPace.MODERATE, depth: LearningDepth.MODERATE, socialPreference: SocialLearningPreference.NEUTRAL }, productivityMetrics: { codeOutput: 0, qualityScore: 0, efficiency: 0, focusTime: 0, contextSwitches: 0, taskCompletion: 0 }, errorPatterns: [], successMetrics: { achievements: [], recognition: [], impact: 0, satisfaction: 0, growth: 0 } }; } private createDefaultTeamBehavior(): TeamBehavior { return { collaborationPatterns: [], communicationStyle: { primaryChannels: [CommunicationChannel.CHAT, CommunicationChannel.VIDEO_CALL], frequency: CommunicationFrequency.MODERATE, formality: FormalityLevel.PROFESSIONAL, transparency: TransparencyLevel.HIGH, documentation: DocumentationPreference.ADEQUATE }, decisionMaking: { approach: DecisionApproach.COLLABORATIVE, participation: ParticipationLevel.PARTICIPATIVE, speed: DecisionSpeed.MODERATE, criteria: [] }, conflictResolution: { approach: ConflictApproach.COLLABORATING, mediation: MediationPreference.PEER, compromise: CompromisePreference.SEEK_WIN_WIN, escalation: EscalationPreference.STEP_BY_STEP }, learningPatterns: [], productivityPatterns: [] }; } private createDefaultTeamDynamics(): TeamDynamics { return { cohesion: 70, communication: 75, collaboration: 70, conflict: 20, satisfaction: 75, performance: 70, adaptation: 65 }; } private createDefaultTeamPerformance(): TeamPerformance { return { velocity: 70, quality: 75, efficiency: 70, innovation: 65, collaboration: 75, satisfaction: 75, trends: [] }; } private calculateSatisfaction(outcome: ActionResult): number { if (!outcome.success) return 0.3; const qualityWeight = 0.3; const efficiencyWeight = 0.3; const satisfactionWeight = 0.4; return ( outcome.quality * qualityWeight + outcome.efficiency * efficiencyWeight + outcome.satisfaction * satisfactionWeight ) / 100; } private calculateImpact(outcome: ActionResult): ImpactAssessment { const successMultiplier = outcome.success ? 1.0 : 0.3; const qualityImpact = outcome.quality * successMultiplier; const efficiencyImpact = outcome.efficiency * successMultiplier; return { technicalImpact: qualityImpact * 0.8, businessImpact: qualityImpact * 0.6, userImpact: outcome.satisfaction * successMultiplier, teamImpact: efficiencyImpact * 0.7, overallImpact: (qualityImpact + efficiencyImpact + outcome.satisfaction) / 3 * successMultiplier }; } private async updateCodingPatterns(behavior: UserBehavior, request: PreferenceLearningRequest): Promise<void> { // Update coding patterns based on action // This is a simplified implementation } private async updateCommunicationPatterns(behavior: UserBehavior, request: PreferenceLearningRequest): Promise<void> { // Update communication patterns based on collaborators // This is a simplified implementation } private async updateProductivityMetrics(behavior: UserBehavior, request: PreferenceLearningRequest): Promise<void> { // Update productivity metrics behavior.productivityMetrics.taskCompletion += request.outcome.success ? 1 : 0; behavior.productivityMetrics.qualityScore = (behavior.productivityMetrics.qualityScore + request.outcome.quality) / 2; behavior.productivityMetrics.efficiency = (behavior.productivityMetrics.efficiency + request.outcome.efficiency) / 2; } private async updateErrorPatterns(behavior: UserBehavior, request: PreferenceLearningRequest): Promise<void> { // Update error patterns for (const error of request.outcome.errors) { const errorPattern: ErrorPattern = { id: this.generateErrorPatternId(), type: ErrorType.LOGIC, // Default, should be determined from error frequency: 1, context: { task: request.action.description, technology: 'unknown', // Should be extracted from context complexity: request.action.complexity, timePressure: request.context.timePressure, context: request.context.project }, severity: SeverityLevel.WARNING, // Default lastOccurred: new Date(), resolution: error }; behavior.errorPatterns.push(errorPattern); } } private async updateSuccessMetrics(behavior: UserBehavior, request: PreferenceLearningRequest): Promise<void> { // Update success metrics behavior.successMetrics.impact = (behavior.successMetrics.impact + this.calculateImpact(request.outcome).overallImpact) / 2; behavior.successMetrics.satisfaction = (behavior.successMetrics.satisfaction + this.calculateSatisfaction(request.outcome)) / 2; } private async updateCollaborationPatterns(behavior: TeamBehavior, request: PreferenceLearningRequest): Promise<void> { // Update collaboration patterns // This is a simplified implementation } private async updateLearningPatterns(behavior: TeamBehavior, request: PreferenceLearningRequest): Promise<void> { // Update learning patterns // This is a simplified implementation } private async updateProductivityPatterns(behavior: TeamBehavior, request: PreferenceLearningRequest): Promise<void> { // Update productivity patterns // This is a simplified implementation } private async updateTeamDynamicsFromAction(team: TeamProfile, user: UserProfile, request: PreferenceLearningRequest): Promise<void> { // Update team dynamics based on user action const satisfaction = this.calculateSatisfaction(request.outcome); const impact = this.calculateImpact(request.outcome); team.dynamics.satisfaction = (team.dynamics.satisfaction + satisfaction) / 2; team.dynamics.collaboration = (team.dynamics.collaboration + impact.teamImpact) / 2; // Update performance metrics team.performance.quality = (team.performance.quality + request.outcome.quality) / 2; team.performance.collaboration = (team.performance.collaboration + impact.teamImpact) / 2; } private async calculateTriggerSeverity(trigger: AdaptationTrigger, team: TeamProfile): Promise<number> { // Calculate severity based on trigger type and team state switch (trigger) { case AdaptationTrigger.PERFORMANCE_DECLINE: return Math.max(0, 80 - team.performance.quality); case AdaptationTrigger.CONFLICT_INCREASE: return Math.min(100, team.dynamics.conflict * 5); case AdaptationTrigger.SATISFACTION_DECREASE: return Math.max(0, 80 - team.dynamics.satisfaction); default: return 50; } } private async generateAdaptationRecommendations(triggers: AdaptationTrigger[], team: TeamProfile): Promise<string[]> { const recommendations: string[] = []; for (const trigger of triggers) { switch (trigger) { case AdaptationTrigger.PERFORMANCE_DECLINE: recommendations.push('Consider adopting performance-focused coding practices'); recommendations.push('Review and optimize team workflow'); break; case AdaptationTrigger.CONFLICT_INCREASE: recommendations.push('Implement conflict resolution workshops'); recommendations.push('Improve communication protocols'); break; case AdaptationTrigger.SATISFACTION_DECREASE: recommendations.push('Conduct team satisfaction surveys'); recommendations.push('Address team morale and motivation'); break; } } return recommendations; } private async loadProfiles(): Promise<void> { try { // Load user profiles const cachedUsers = await this.cache.get<Map<string, any>>('user-profiles'); if (cachedUsers) { for (const [userId, userData] of Object.entries(cachedUsers)) { this.userProfiles.set(userId, userData); } } // Load team profiles const cachedTeams = await this.cache.get<Map<string, any>>('team-profiles'); if (cachedTeams) { for (const [teamId, teamData] of Object.entries(cachedTeams)) { this.teamProfiles.set(teamId, teamData); } } this.logger.info(`Loaded ${this.userProfiles.size} user profiles and ${this.teamProfiles.size} team profiles`); } catch (error) { this.logger.warn('Failed to load profiles:', error); } } private async saveUserProfile(userId: string): Promise<void> { try { const user = this.userProfiles.get(userId); if (user) { await this.cache.set(`user-profile-${userId}`, user, 3600); // Also save to global users index const usersIndex: Record<string, any> = {}; for (const [uid, u] of this.userProfiles.entries()) { usersIndex[uid] = u; } await this.cache.set('user-profiles', usersIndex, 3600); } } catch (error) { this.logger.warn(`Failed to save user profile for user ${userId}:`, error); } } private async saveTeamProfile(teamId: string): Promise<void> { try { const team = this.teamProfiles.get(teamId); if (team) { await this.cache.set(`team-profile-${teamId}`, team, 3600); // Also save to global teams index const teamsIndex: Record<string, any> = {}; for (const [tid, t] of this.teamProfiles.entries()) { teamsIndex[tid] = t; } await this.cache.set('team-profiles', teamsIndex, 3600); } } catch (error) { this.logger.warn(`Failed to save team profile for team ${teamId}:`, error); } } // ID generation methods private generateProfileId(): string { return `user_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; } private generateTeamId(): string { return `team_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; } private generatePreferenceId(): string { return `pref_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; } private generateErrorPatternId(): string { return `error_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; } // Event handlers private handlePreferenceLearned(data: any): void { this.logger.debug(`Preference learned event handled for user: ${data.userId}`); } private handlePreferenceAdapted(data: any): void { this.logger.debug(`Preference adapted event handled for team: ${data.teamId}`); } private handlePreferenceSynchronized(data: any): void { this.logger.debug(`Preference synchronized event handled`); } private handleConflictResolved(data: any): void { this.logger.debug(`Conflict resolved event handled for team: ${data.teamId}`); } // Public API methods async updateConfig(config: Partial<TeamPreferenceConfig>): Promise<void> { this.config = { ...this.config, ...config }; this.logger.info('Team preference learning configuration updated'); } async getLearningStats(): Promise<any> { const totalUsers = this.userProfiles.size; const totalTeams = this.teamProfiles.size; const totalPreferences = Array.from(this.userProfiles.values()) .reduce((sum, user) => sum + user.preferences.length, 0) + Array.from(this.teamProfiles.values()) .reduce((sum, team) => sum + team.preferences.length, 0); const averageTeamSatisfaction = Array.from(this.teamProfiles.values()) .reduce((sum, team) => sum + team.dynamics.satisfaction, 0) / this.teamProfiles.size || 0; return { totalUsers, totalTeams, totalPreferences, averageTeamSatisfaction, learningEnabled: this.config.enableLearning, adaptationEnabled: this.config.enableAdaptation, synchronizationEnabled: this.config.enableSynchronization, learningAlgorithms: this.learningAlgorithms.size, adaptationAlgorithms: this.adaptationAlgorithms.size }; } async shutdown(): Promise<void> { this.logger.info('Shutting down Team Preference Learning Service'); // Save all profiles for (const userId of this.userProfiles.keys()) { await this.saveUserProfile(userId); } for (const teamId of this.teamProfiles.keys()) { await this.saveTeamProfile(teamId); } // Clear event listeners this.removeAllListeners(); this.logger.info('Team Preference Learning Service shutdown complete'); } } // Type definitions for algorithm results interface AdaptationAnalysis { shouldAdapt: boolean; primaryTrigger: AdaptationTrigger | null; severity: number; recommendations: string[]; } interface AdaptationResult { success: boolean; changes: PreferenceChange[]; effectiveness: number; reasoning: string[]; } // Algorithm type definitions enum LearningAlgorithmType { BEHAVIORAL = 'behavioral', COLLABORATIVE = 'collaborative', ADAPTIVE = 'adaptive' } enum AdaptationAlgorithmType { PERFORMANCE_BASED = 'performance-based', CONFLICT_BASED = 'conflict-based', SATISFACTION_BASED = 'satisfaction-based' } // Abstract base classes for algorithms abstract class LearningAlgorithm { abstract learn(request: PreferenceLearningRequest, user: UserProfile): Promise<UserPreference[]>; } abstract class AdaptationAlgorithm { abstract adapt(request: PreferenceAdaptationRequest, team: TeamProfile, analysis: AdaptationAnalysis): Promise<AdaptationResult>; } // Concrete algorithm implementations (simplified) class BehavioralLearningAlgorithm extends LearningAlgorithm { async learn(request: PreferenceLearningRequest, user: UserProfile): Promise<UserPreference[]> { // Implement behavioral learning logic return []; } } class CollaborativeLearningAlgorithm extends LearningAlgorithm { async learn(request: PreferenceLearningRequest, user: UserProfile): Promise<UserPreference[]> { // Implement collaborative learning logic return []; } } class AdaptiveLearningAlgorithm extends LearningAlgorithm { async learn(request: PreferenceLearningRequest, user: UserProfile): Promise<UserPreference[]> { // Implement adaptive learning logic return []; } } class PerformanceBasedAdaptationAlgorithm extends AdaptationAlgorithm { async adapt(request: PreferenceAdaptationRequest, team: TeamProfile, analysis: AdaptationAnalysis): Promise<AdaptationResult> { // Implement performance-based adaptation logic return { success: true, changes: [], effectiveness: 0.8, reasoning: ['Performance-based adaptation applied'] }; } } class ConflictBasedAdaptationAlgorithm extends AdaptationAlgorithm { async adapt(request: PreferenceAdaptationRequest, team: TeamProfile, analysis: AdaptationAnalysis): Promise<AdaptationResult> { // Implement conflict-based adaptation logic return { success: true, changes: [], effectiveness: 0.7, reasoning: ['Conflict-based adaptation applied'] }; } } class SatisfactionBasedAdaptationAlgorithm extends AdaptationAlgorithm { async adapt(request: PreferenceAdaptationRequest, team: TeamProfile, analysis: AdaptationAnalysis): Promise<AdaptationResult> { // Implement satisfaction-based adaptation logic return { success: true, changes: [], effectiveness: 0.75, reasoning: ['Satisfaction-based adaptation applied'] }; } }