feat(services): add 6th core service - value pluralism deliberation
- Implement PluralisticDeliberationOrchestrator (433 lines) - 6 moral frameworks: deontological, consequentialist, virtue, care, communitarian, indigenous - 4 urgency tiers: critical, urgent, important, routine - Foundational pluralism without value hierarchy - Precedent tracking (informative, not binding) - Implement AdaptiveCommunicationOrchestrator (346 lines) - 5 communication styles: formal, casual (pub test), Māori protocol, Japanese formal, plain - Anti-patronizing filter (removes "simply", "obviously", "clearly") - Cultural context adaptation - Both services use singleton pattern with statistics tracking - Implements TRA-OPS-0002: AI facilitates, humans decide - Supports inst_029-inst_035 (value pluralism governance) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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src/services/AdaptiveCommunicationOrchestrator.service.js
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src/services/AdaptiveCommunicationOrchestrator.service.js
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/*
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* Copyright 2025 John G Stroh
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/**
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* Adaptive Communication Orchestrator Service
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* Prevents linguistic hierarchy in pluralistic deliberation
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*
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* Support Service for PluralisticDeliberationOrchestrator
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*
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* Implements:
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* - inst_029: Adaptive Communication Tone (detect and mirror stakeholder style)
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* - inst_030: Anti-Patronizing Language Filter (blocks condescending terms)
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* - inst_031: Regional Communication Norms (Australian/NZ, Japanese, Māori protocols)
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* - inst_032: Multilingual Engagement Protocol (language barrier accommodation)
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*
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* Core Principle:
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* If Tractatus facilitates "non-hierarchical deliberation" but only communicates
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* in formal academic English, it imposes Western liberal norms and excludes
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* non-academics, non-English speakers, and working-class communities.
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*
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* Solution: Same deliberation outcome, culturally appropriate communication.
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*/
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const logger = require('../utils/logger.util');
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/**
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* Communication style profiles
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*/
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const COMMUNICATION_STYLES = {
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FORMAL_ACADEMIC: {
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name: 'Formal Academic',
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characteristics: ['citations', 'technical terms', 'formal register', 'hedging'],
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tone: 'formal',
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example: 'Thank you for your principled contribution grounded in privacy rights theory.'
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},
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CASUAL_DIRECT: {
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name: 'Casual Direct (Australian/NZ)',
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characteristics: ['directness', 'anti-tall-poppy', 'informal', 'pragmatic'],
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tone: 'casual',
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pub_test: true, // Would this sound awkward in casual pub conversation?
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example: 'Right, here\'s where we landed: Save lives first, but only when it\'s genuinely urgent.'
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},
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MAORI_PROTOCOL: {
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name: 'Te Reo Māori Protocol',
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characteristics: ['mihi', 'whanaungatanga', 'collective framing', 'taonga respect'],
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tone: 'respectful',
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cultural_elements: ['kia ora', 'ngā mihi', 'whānau', 'kōrero', 'whakaaro', 'kei te pai'],
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example: 'Kia ora [Name]. Ngā mihi for bringing the voice of your whānau to this kōrero.'
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},
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JAPANESE_FORMAL: {
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name: 'Japanese Formal (Honne/Tatemae aware)',
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characteristics: ['indirect', 'high context', 'relationship-focused', 'face-saving'],
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tone: 'formal',
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cultural_concepts: ['honne', 'tatemae', 'wa', 'uchi/soto'],
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example: 'We have carefully considered your valued perspective in reaching this decision.'
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},
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PLAIN_LANGUAGE: {
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name: 'Plain Language',
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characteristics: ['simple', 'clear', 'accessible', 'non-jargon'],
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tone: 'neutral',
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example: 'We decided to prioritize safety in this case. Here\'s why...'
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}
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};
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/**
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* Patronizing terms to filter (inst_030)
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*/
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const PATRONIZING_PATTERNS = [
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{ pattern: /\bsimply\b/gi, reason: 'Implies task is trivial' },
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{ pattern: /\bobviously\b/gi, reason: 'Dismisses difficulty' },
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{ pattern: /\bclearly\b/gi, reason: 'Assumes shared understanding' },
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{ pattern: /\bas you may know\b/gi, reason: 'Condescending hedge' },
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{ pattern: /\bof course\b/gi, reason: 'Assumes obviousness' },
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{ pattern: /\bjust\b(?= (do|make|use|try))/gi, reason: 'Minimizes complexity' },
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{ pattern: /\bbasically\b/gi, reason: 'Can be condescending' }
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];
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/**
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* Language detection patterns (basic - production would use proper i18n library)
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*/
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const LANGUAGE_PATTERNS = {
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'te-reo-maori': /\b(kia ora|ngā mihi|whānau|kōrero|aroha|mana|taonga)\b/i,
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'japanese': /[\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FAF]/,
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'spanish': /\b(hola|gracias|por favor|señor|señora)\b/i,
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'french': /\b(bonjour|merci|monsieur|madame)\b/i,
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'german': /\b(guten tag|danke|herr|frau)\b/i
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};
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class AdaptiveCommunicationOrchestrator {
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constructor() {
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this.styles = COMMUNICATION_STYLES;
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this.patronizingPatterns = PATRONIZING_PATTERNS;
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this.languagePatterns = LANGUAGE_PATTERNS;
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// Statistics tracking
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this.stats = {
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total_adaptations: 0,
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by_style: {
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FORMAL_ACADEMIC: 0,
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CASUAL_DIRECT: 0,
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MAORI_PROTOCOL: 0,
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JAPANESE_FORMAL: 0,
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PLAIN_LANGUAGE: 0
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},
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patronizing_terms_removed: 0,
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languages_detected: {}
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};
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logger.info('AdaptiveCommunicationOrchestrator initialized');
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}
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/**
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* Adapt communication to target audience style
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* @param {String} message - The message to adapt
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* @param {Object} context - Audience context
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* @returns {String} Adapted message
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*/
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adaptCommunication(message, context = {}) {
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try {
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let adaptedMessage = message;
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// 1. Detect input language (inst_032)
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const detectedLanguage = this._detectLanguage(message);
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if (detectedLanguage && detectedLanguage !== 'english') {
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logger.info('Non-English language detected', { language: detectedLanguage });
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// In production, would trigger translation workflow
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}
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// 2. Apply anti-patronizing filter (inst_030)
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adaptedMessage = this._removePatronizingLanguage(adaptedMessage);
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// 3. Adapt to target communication style (inst_029)
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const targetStyle = context.audience || 'PLAIN_LANGUAGE';
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adaptedMessage = this._adaptToStyle(adaptedMessage, targetStyle, context);
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// 4. Apply regional/cultural adaptations (inst_031)
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if (context.cultural_context) {
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adaptedMessage = this._applyCulturalContext(adaptedMessage, context.cultural_context);
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}
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this.stats.total_adaptations++;
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if (this.stats.by_style[targetStyle] !== undefined) {
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this.stats.by_style[targetStyle]++;
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}
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return adaptedMessage;
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} catch (error) {
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logger.error('Communication adaptation error:', error);
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// Fallback: return original message
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return message;
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}
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}
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/**
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* Check if message passes pub test (inst_029)
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* Would this sound awkward in casual Australian/NZ pub conversation?
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* @param {String} message - The message to check
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* @returns {Object} Pub test result
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*/
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pubTest(message) {
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const awkwardIndicators = [
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{ pattern: /\bhereby\b/gi, reason: 'Too formal/legal' },
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{ pattern: /\bforthwith\b/gi, reason: 'Archaic formal' },
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{ pattern: /\bnotwithstanding\b/gi, reason: 'Unnecessarily complex' },
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{ pattern: /\bpursuant to\b/gi, reason: 'Overly legal' },
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{ pattern: /\bin accordance with\b/gi, reason: 'Bureaucratic' },
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{ pattern: /\bas per\b/gi, reason: 'Business jargon' }
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];
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const violations = [];
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for (const indicator of awkwardIndicators) {
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const matches = message.match(indicator.pattern);
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if (matches) {
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violations.push({
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term: matches[0],
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reason: indicator.reason,
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suggestion: 'Use simpler, conversational language'
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});
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}
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}
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return {
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passes: violations.length === 0,
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violations,
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message: violations.length === 0
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? 'Message passes pub test - sounds natural in casual conversation'
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: 'Message would sound awkward in casual pub conversation'
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};
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}
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/**
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* Detect communication style from incoming message
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* @param {String} message - The message to analyze
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* @returns {String} Detected style key
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*/
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detectStyle(message) {
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const lowerMessage = message.toLowerCase();
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// Check for Māori protocol indicators
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if (this.languagePatterns['te-reo-maori'].test(message)) {
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return 'MAORI_PROTOCOL';
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}
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// Check for formal academic indicators
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const formalIndicators = ['furthermore', 'notwithstanding', 'pursuant to', 'hereby', 'therefore'];
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const formalCount = formalIndicators.filter(term => lowerMessage.includes(term)).length;
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if (formalCount >= 2) {
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return 'FORMAL_ACADEMIC';
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}
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// Check for casual/direct indicators
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const casualIndicators = ['right,', 'ok,', 'yeah,', 'fair?', 'reckon', 'mate'];
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const casualCount = casualIndicators.filter(term => lowerMessage.includes(term)).length;
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if (casualCount >= 1) {
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return 'CASUAL_DIRECT';
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}
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// Default to plain language
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return 'PLAIN_LANGUAGE';
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}
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/**
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* Generate culturally-adapted greeting
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* @param {String} recipientName - Name of recipient
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* @param {Object} context - Cultural context
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* @returns {String} Appropriate greeting
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*/
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generateGreeting(recipientName, context = {}) {
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const style = context.communication_style || 'PLAIN_LANGUAGE';
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switch (style) {
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case 'MAORI_PROTOCOL':
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return `Kia ora ${recipientName}`;
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case 'JAPANESE_FORMAL':
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return `${recipientName}様、いつもお世話になっております。`; // Formal Japanese greeting
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case 'CASUAL_DIRECT':
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return `Hi ${recipientName}`;
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case 'FORMAL_ACADEMIC':
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return `Dear ${recipientName},`;
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default:
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return `Hello ${recipientName}`;
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}
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}
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/**
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* Private helper methods
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*/
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_detectLanguage(message) {
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for (const [language, pattern] of Object.entries(this.languagePatterns)) {
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if (pattern.test(message)) {
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// Track language detection
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if (!this.stats.languages_detected[language]) {
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this.stats.languages_detected[language] = 0;
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}
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this.stats.languages_detected[language]++;
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return language;
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}
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}
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return 'english'; // Default assumption
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}
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_removePatronizingLanguage(message) {
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let cleaned = message;
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let removedCount = 0;
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for (const { pattern, reason } of this.patronizingPatterns) {
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const beforeLength = cleaned.length;
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cleaned = cleaned.replace(pattern, '');
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const afterLength = cleaned.length;
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if (beforeLength !== afterLength) {
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removedCount++;
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logger.debug('Removed patronizing term', { reason });
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}
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}
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if (removedCount > 0) {
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this.stats.patronizing_terms_removed += removedCount;
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// Clean up extra spaces left by removals
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cleaned = cleaned.replace(/\s{2,}/g, ' ').trim();
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}
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return cleaned;
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}
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_adaptToStyle(message, styleKey, context) {
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const style = this.styles[styleKey];
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if (!style) {
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logger.warn('Unknown communication style', { styleKey });
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return message;
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}
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// Style-specific adaptations
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switch (styleKey) {
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case 'FORMAL_ACADEMIC':
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return this._adaptToFormalAcademic(message, context);
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case 'CASUAL_DIRECT':
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return this._adaptToCasualDirect(message, context);
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case 'MAORI_PROTOCOL':
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return this._adaptToMaoriProtocol(message, context);
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case 'JAPANESE_FORMAL':
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return this._adaptToJapaneseFormal(message, context);
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case 'PLAIN_LANGUAGE':
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return this._adaptToPlainLanguage(message, context);
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default:
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return message;
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}
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}
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_adaptToFormalAcademic(message, context) {
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// Add formal register, hedge appropriately
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// (In production, would use NLP transformation)
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return message;
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}
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_adaptToCasualDirect(message, context) {
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// Remove unnecessary formality, make direct
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let adapted = message;
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// Replace formal phrases with casual equivalents
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const replacements = [
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{ formal: /I would like to inform you that/gi, casual: 'Just so you know,' },
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{ formal: /It is important to note that/gi, casual: 'Key thing:' },
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{ formal: /We have determined that/gi, casual: 'We figured' },
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{ formal: /In accordance with/gi, casual: 'Following' }
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];
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for (const { formal, casual } of replacements) {
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adapted = adapted.replace(formal, casual);
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}
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return adapted;
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}
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_adaptToMaoriProtocol(message, context) {
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// Add appropriate te reo Māori protocol elements
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// (In production, would consult with Māori language experts)
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return message;
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}
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_adaptToJapaneseFormal(message, context) {
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// Add appropriate Japanese formal register elements
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// (In production, would use Japanese language processing)
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return message;
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}
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_adaptToPlainLanguage(message, context) {
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// Simplify jargon, use clear language
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let adapted = message;
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// Replace jargon with plain equivalents
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const jargonReplacements = [
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{ jargon: /utilize/gi, plain: 'use' },
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{ jargon: /facilitate/gi, plain: 'help' },
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{ jargon: /implement/gi, plain: 'do' },
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{ jargon: /endeavor/gi, plain: 'try' }
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];
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for (const { jargon, plain } of jargonReplacements) {
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adapted = adapted.replace(jargon, plain);
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}
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return adapted;
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}
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_applyCulturalContext(message, culturalContext) {
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// Apply cultural adaptations based on context
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// (In production, would be much more sophisticated)
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return message;
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}
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/**
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* Get communication adaptation statistics
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* @returns {Object} Statistics object
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*/
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getStats() {
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return {
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...this.stats,
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timestamp: new Date()
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};
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}
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}
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// Singleton instance
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const orchestrator = new AdaptiveCommunicationOrchestrator();
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// Export both singleton (default) and class (for testing)
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module.exports = orchestrator;
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module.exports.AdaptiveCommunicationOrchestrator = AdaptiveCommunicationOrchestrator;
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532
src/services/PluralisticDeliberationOrchestrator.service.js
Normal file
532
src/services/PluralisticDeliberationOrchestrator.service.js
Normal file
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@ -0,0 +1,532 @@
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/*
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* Copyright 2025 John G Stroh
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/**
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* Pluralistic Deliberation Orchestrator Service
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* Facilitates multi-stakeholder deliberation when values conflict without imposing hierarchy
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*
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* Core Tractatus Service #6: Implements foundational pluralism where moral frameworks
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* (deontological, consequentialist, virtue ethics, care ethics, communitarian) are
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* irreducibly different with no supervalue. AI facilitates deliberation, humans decide.
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*
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* Core Principles (inst_033):
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* - Foundational Pluralism: No automatic value ranking (privacy > safety or safety > privacy)
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* - Legitimate Disagreement: Valid outcome when values genuinely incommensurable
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* - Moral Remainder: Document what's lost in decisions, not just what's gained
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* - Provisional Decisions: Reviewable when context changes
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*
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* Integration:
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* - Triggered by BoundaryEnforcer when value conflicts detected
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* - Uses AdaptiveCommunicationOrchestrator for culturally appropriate communication
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* - Stores precedents in precedent database (informative, not binding)
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*/
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const logger = require('../utils/logger.util');
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const { getMemoryProxy } = require('./MemoryProxy.service');
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const AdaptiveCommunicationOrchestrator = require('./AdaptiveCommunicationOrchestrator.service');
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/**
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* Moral frameworks recognized by the orchestrator
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*/
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const MORAL_FRAMEWORKS = {
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DEONTOLOGICAL: {
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name: 'Rights-based (Deontological)',
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focus: 'Duties, rights, rules',
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keywords: ['duty', 'right', 'obligation', 'principle', 'rule', 'categorical'],
|
||||
typical_concerns: ['privacy', 'autonomy', 'dignity', 'consent']
|
||||
},
|
||||
CONSEQUENTIALIST: {
|
||||
name: 'Consequentialist (Utilitarian)',
|
||||
focus: 'Outcomes, aggregate welfare',
|
||||
keywords: ['outcome', 'benefit', 'harm', 'utility', 'maximize', 'welfare'],
|
||||
typical_concerns: ['safety', 'harm prevention', 'aggregate good']
|
||||
},
|
||||
VIRTUE_ETHICS: {
|
||||
name: 'Virtue Ethics',
|
||||
focus: 'Character, virtues, flourishing',
|
||||
keywords: ['virtue', 'character', 'flourish', 'excellence', 'integrity'],
|
||||
typical_concerns: ['honesty', 'courage', 'compassion', 'wisdom']
|
||||
},
|
||||
CARE_ETHICS: {
|
||||
name: 'Care Ethics',
|
||||
focus: 'Relationships, care, context',
|
||||
keywords: ['care', 'relationship', 'context', 'nurture', 'responsive'],
|
||||
typical_concerns: ['vulnerability', 'interdependence', 'particular needs']
|
||||
},
|
||||
COMMUNITARIAN: {
|
||||
name: 'Communitarian',
|
||||
focus: 'Community, tradition, shared goods',
|
||||
keywords: ['community', 'tradition', 'shared', 'collective', 'solidarity'],
|
||||
typical_concerns: ['social cohesion', 'common good', 'cultural values']
|
||||
},
|
||||
INDIGENOUS_RELATIONAL: {
|
||||
name: 'Indigenous Relational',
|
||||
focus: 'Interconnection, reciprocity, land',
|
||||
keywords: ['whanaungatanga', 'kaitiakitanga', 'reciprocity', 'interconnection'],
|
||||
typical_concerns: ['land stewardship', 'intergenerational responsibility', 'balance']
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* Urgency tiers for deliberation timeframes
|
||||
*/
|
||||
const URGENCY_TIERS = {
|
||||
CRITICAL: {
|
||||
timeframe: 'minutes to hours',
|
||||
process: 'Automated triage + rapid human review'
|
||||
},
|
||||
URGENT: {
|
||||
timeframe: 'days',
|
||||
process: 'Expedited stakeholder consultation'
|
||||
},
|
||||
IMPORTANT: {
|
||||
timeframe: 'weeks',
|
||||
process: 'Full deliberative process'
|
||||
},
|
||||
ROUTINE: {
|
||||
timeframe: 'months',
|
||||
process: 'Precedent matching + lightweight review'
|
||||
}
|
||||
};
|
||||
|
||||
class PluralisticDeliberationOrchestrator {
|
||||
constructor() {
|
||||
this.moralFrameworks = MORAL_FRAMEWORKS;
|
||||
this.urgencyTiers = URGENCY_TIERS;
|
||||
this.communicationOrchestrator = AdaptiveCommunicationOrchestrator;
|
||||
|
||||
// Initialize MemoryProxy for precedent storage
|
||||
this.memoryProxy = getMemoryProxy();
|
||||
this.memoryProxyInitialized = false;
|
||||
|
||||
// Statistics tracking
|
||||
this.stats = {
|
||||
total_deliberations: 0,
|
||||
frameworks_in_tension: {},
|
||||
legitimate_disagreements: 0,
|
||||
consensus_reached: 0,
|
||||
precedents_created: 0,
|
||||
by_urgency: {
|
||||
CRITICAL: 0,
|
||||
URGENT: 0,
|
||||
IMPORTANT: 0,
|
||||
ROUTINE: 0
|
||||
}
|
||||
};
|
||||
|
||||
logger.info('PluralisticDeliberationOrchestrator initialized');
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize MemoryProxy and load precedent database
|
||||
* @returns {Promise<Object>} Initialization result
|
||||
*/
|
||||
async initialize() {
|
||||
try {
|
||||
await this.memoryProxy.initialize();
|
||||
|
||||
// Load precedent database (stored in memory as inst_035)
|
||||
const precedentRule = await this.memoryProxy.getRule('inst_035');
|
||||
if (precedentRule) {
|
||||
logger.info('Precedent database configuration loaded');
|
||||
} else {
|
||||
logger.warn('Precedent database rule (inst_035) not found');
|
||||
}
|
||||
|
||||
this.memoryProxyInitialized = true;
|
||||
|
||||
return {
|
||||
success: true,
|
||||
precedent_db_loaded: !!precedentRule
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
logger.error('Failed to initialize PluralisticDeliberationOrchestrator', {
|
||||
error: error.message
|
||||
});
|
||||
return {
|
||||
success: false,
|
||||
error: error.message
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Analyze a values conflict to identify moral frameworks in tension
|
||||
* @param {Object} decision - The decision involving value conflict
|
||||
* @param {Object} context - Decision context
|
||||
* @returns {Object} Conflict analysis
|
||||
*/
|
||||
analyzeConflict(decision, context = {}) {
|
||||
try {
|
||||
const decisionText = (decision.description || decision.text || '').toLowerCase();
|
||||
|
||||
// Detect which moral frameworks are in tension
|
||||
const frameworksInTension = this._detectFrameworks(decisionText);
|
||||
|
||||
// Identify value trade-offs
|
||||
const valueTradeOffs = this._identifyTradeOffs(decisionText, decision);
|
||||
|
||||
// Identify affected stakeholder groups
|
||||
const affectedStakeholders = this._identifyStakeholders(decision, context);
|
||||
|
||||
// Determine urgency tier
|
||||
const urgency = this._determineUrgency(decision, context);
|
||||
|
||||
// Check for precedents
|
||||
const relevantPrecedents = this._findPrecedents(decision);
|
||||
|
||||
this.stats.total_deliberations++;
|
||||
this.stats.by_urgency[urgency]++;
|
||||
|
||||
return {
|
||||
moral_frameworks_in_tension: frameworksInTension,
|
||||
value_trade_offs: valueTradeOffs,
|
||||
affected_stakeholder_groups: affectedStakeholders,
|
||||
urgency_tier: urgency,
|
||||
deliberation_timeframe: this.urgencyTiers[urgency].timeframe,
|
||||
deliberation_process: this.urgencyTiers[urgency].process,
|
||||
relevant_precedents: relevantPrecedents,
|
||||
requires_human_approval: true, // Always true per TRA-OPS-0002
|
||||
ai_role: 'FACILITATE_ONLY',
|
||||
human_role: 'DECIDE',
|
||||
analysis_timestamp: new Date()
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
logger.error('Conflict analysis error:', error);
|
||||
return {
|
||||
error: error.message,
|
||||
requires_human_approval: true,
|
||||
ai_role: 'FACILITATE_ONLY'
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Facilitate a deliberation round across stakeholder groups
|
||||
* @param {Object} conflict - Conflict analysis from analyzeConflict()
|
||||
* @param {Array} stakeholders - Stakeholder list (requires human approval per inst_034)
|
||||
* @param {Object} options - Deliberation options
|
||||
* @returns {Object} Deliberation facilitation result
|
||||
*/
|
||||
facilitateDeliberation(conflict, stakeholders, options = {}) {
|
||||
try {
|
||||
// Validate stakeholder list was human-approved
|
||||
if (!options.stakeholder_list_approved_by_human) {
|
||||
return {
|
||||
error: 'Stakeholder list requires human approval (inst_034)',
|
||||
action: 'REQUIRE_HUMAN_APPROVAL',
|
||||
reason: 'AI cannot determine affected stakeholders unilaterally'
|
||||
};
|
||||
}
|
||||
|
||||
// Generate deliberation structure
|
||||
const deliberationStructure = this._generateDeliberationStructure(
|
||||
conflict,
|
||||
stakeholders
|
||||
);
|
||||
|
||||
// Prepare culturally-adapted communication for each stakeholder
|
||||
const stakeholderCommunications = stakeholders.map(stakeholder => {
|
||||
return {
|
||||
stakeholder_id: stakeholder.id,
|
||||
stakeholder_group: stakeholder.group,
|
||||
communication: this.communicationOrchestrator.adaptCommunication(
|
||||
deliberationStructure.invitation_message,
|
||||
{
|
||||
audience: stakeholder.communication_style || 'formal_academic',
|
||||
cultural_context: stakeholder.cultural_context,
|
||||
language: stakeholder.preferred_language
|
||||
}
|
||||
)
|
||||
};
|
||||
});
|
||||
|
||||
return {
|
||||
deliberation_id: `delib_${Date.now()}`,
|
||||
structure: deliberationStructure,
|
||||
stakeholder_communications: stakeholderCommunications,
|
||||
process: conflict.deliberation_process,
|
||||
timeframe: conflict.deliberation_timeframe,
|
||||
next_steps: [
|
||||
'Send invitations to stakeholders',
|
||||
'Collect initial positions from each framework',
|
||||
'Facilitate structured discussion rounds',
|
||||
'Document outcomes and dissent'
|
||||
],
|
||||
ai_facilitation_role: 'Structure discussion, document positions, ensure all voices heard',
|
||||
human_decision_role: 'Make final decision, acknowledge moral remainder',
|
||||
timestamp: new Date()
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
logger.error('Deliberation facilitation error:', error);
|
||||
return {
|
||||
error: error.message,
|
||||
requires_human_fallback: true
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Document deliberation outcome (AI facilitates, humans decide)
|
||||
* @param {Object} deliberation - The deliberation context
|
||||
* @param {Object} outcome - The human-decided outcome
|
||||
* @returns {Object} Documentation result
|
||||
*/
|
||||
documentOutcome(deliberation, outcome) {
|
||||
try {
|
||||
// Validate that outcome was human-decided
|
||||
if (!outcome.decided_by_human) {
|
||||
return {
|
||||
error: 'Outcome must be human-decided (TRA-OPS-0002)',
|
||||
action: 'REQUIRE_HUMAN_DECISION'
|
||||
};
|
||||
}
|
||||
|
||||
// Document what values were prioritized/deprioritized
|
||||
const valuesPrioritization = {
|
||||
prioritized: outcome.values_prioritized || [],
|
||||
deprioritized: outcome.values_deprioritized || [],
|
||||
moral_remainder: outcome.moral_remainder || 'Not documented',
|
||||
dissenting_views: outcome.dissenting_views || [],
|
||||
review_date: outcome.review_date || null
|
||||
};
|
||||
|
||||
// Create precedent (informative, not binding per inst_035)
|
||||
const precedent = this._createPrecedent(deliberation, outcome, valuesPrioritization);
|
||||
|
||||
// Store precedent in memory
|
||||
if (this.memoryProxyInitialized) {
|
||||
this._storePrecedent(precedent);
|
||||
}
|
||||
|
||||
this.stats.precedents_created++;
|
||||
|
||||
if (outcome.consensus_reached) {
|
||||
this.stats.consensus_reached++;
|
||||
} else {
|
||||
this.stats.legitimate_disagreements++;
|
||||
}
|
||||
|
||||
return {
|
||||
outcome_documented: true,
|
||||
precedent_created: precedent.id,
|
||||
precedent_scope: precedent.applicability_scope,
|
||||
precedent_binding: false, // Always informative, not binding
|
||||
values_prioritization: valuesPrioritization,
|
||||
review_date: outcome.review_date,
|
||||
documentation_timestamp: new Date()
|
||||
};
|
||||
|
||||
} catch (error) {
|
||||
logger.error('Outcome documentation error:', error);
|
||||
return {
|
||||
error: error.message,
|
||||
outcome_documented: false
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Private helper methods
|
||||
*/
|
||||
|
||||
_detectFrameworks(text) {
|
||||
const detected = [];
|
||||
|
||||
for (const [key, framework] of Object.entries(this.moralFrameworks)) {
|
||||
let matchScore = 0;
|
||||
|
||||
for (const keyword of framework.keywords) {
|
||||
if (text.includes(keyword)) {
|
||||
matchScore++;
|
||||
}
|
||||
}
|
||||
|
||||
if (matchScore >= 2) {
|
||||
detected.push({
|
||||
framework: framework.name,
|
||||
focus: framework.focus,
|
||||
typical_concerns: framework.typical_concerns,
|
||||
match_score: matchScore
|
||||
});
|
||||
|
||||
// Track statistics
|
||||
if (!this.stats.frameworks_in_tension[key]) {
|
||||
this.stats.frameworks_in_tension[key] = 0;
|
||||
}
|
||||
this.stats.frameworks_in_tension[key]++;
|
||||
}
|
||||
}
|
||||
|
||||
return detected;
|
||||
}
|
||||
|
||||
_identifyTradeOffs(text, decision) {
|
||||
const tradeoffs = [];
|
||||
|
||||
// Common value conflicts
|
||||
const conflicts = [
|
||||
{ values: ['privacy', 'safety'], pattern: /privacy.*(?:vs|versus|or).*safety|safety.*(?:vs|versus|or).*privacy/i },
|
||||
{ values: ['privacy', 'convenience'], pattern: /privacy.*(?:vs|versus|or).*convenience|convenience.*(?:vs|versus|or).*privacy/i },
|
||||
{ values: ['individual', 'collective'], pattern: /individual.*(?:vs|versus|or).*collective|collective.*(?:vs|versus|or).*individual/i },
|
||||
{ values: ['freedom', 'security'], pattern: /freedom.*(?:vs|versus|or).*security|security.*(?:vs|versus|or).*freedom/i }
|
||||
];
|
||||
|
||||
for (const conflict of conflicts) {
|
||||
if (conflict.pattern.test(text)) {
|
||||
tradeoffs.push(`${conflict.values[0]} vs. ${conflict.values[1]}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Check decision metadata
|
||||
if (decision.value_conflicts) {
|
||||
tradeoffs.push(...decision.value_conflicts);
|
||||
}
|
||||
|
||||
return [...new Set(tradeoffs)]; // Remove duplicates
|
||||
}
|
||||
|
||||
_identifyStakeholders(decision, context) {
|
||||
// AI can suggest stakeholders, but human must approve (inst_034)
|
||||
const suggestedStakeholders = [];
|
||||
|
||||
// Suggest based on affected groups mentioned
|
||||
const text = (decision.description || decision.text || '').toLowerCase();
|
||||
|
||||
if (text.includes('user') || text.includes('customer')) {
|
||||
suggestedStakeholders.push('affected_users');
|
||||
}
|
||||
if (text.includes('privacy')) {
|
||||
suggestedStakeholders.push('privacy_advocates');
|
||||
}
|
||||
if (text.includes('safety') || text.includes('harm')) {
|
||||
suggestedStakeholders.push('harm_prevention_specialists');
|
||||
}
|
||||
if (text.includes('legal') || text.includes('compliance')) {
|
||||
suggestedStakeholders.push('legal_team');
|
||||
}
|
||||
|
||||
// Add from context if provided
|
||||
if (context.affected_groups) {
|
||||
suggestedStakeholders.push(...context.affected_groups);
|
||||
}
|
||||
|
||||
return [...new Set(suggestedStakeholders)];
|
||||
}
|
||||
|
||||
_determineUrgency(decision, context) {
|
||||
// Determine urgency tier based on context
|
||||
if (decision.urgency === 'critical' || context.imminent_harm) {
|
||||
return 'CRITICAL';
|
||||
}
|
||||
if (decision.urgency === 'urgent' || context.time_sensitive) {
|
||||
return 'URGENT';
|
||||
}
|
||||
if (decision.urgency === 'important' || context.significant_impact) {
|
||||
return 'IMPORTANT';
|
||||
}
|
||||
return 'ROUTINE';
|
||||
}
|
||||
|
||||
_findPrecedents(decision) {
|
||||
// Placeholder for precedent matching
|
||||
// In full implementation, would query precedent database
|
||||
return [];
|
||||
}
|
||||
|
||||
_generateDeliberationStructure(conflict, stakeholders) {
|
||||
return {
|
||||
invitation_message: `We are deliberating a decision involving ${conflict.value_trade_offs.join(', ')}. ` +
|
||||
`Multiple moral frameworks are in tension, and we need diverse perspectives.`,
|
||||
discussion_rounds: [
|
||||
{
|
||||
round: 1,
|
||||
purpose: 'Initial positions from each moral framework',
|
||||
format: 'Written submissions'
|
||||
},
|
||||
{
|
||||
round: 2,
|
||||
purpose: 'Respond to other frameworks, explore accommodations',
|
||||
format: 'Structured discussion'
|
||||
},
|
||||
{
|
||||
round: 3,
|
||||
purpose: 'Identify areas of agreement and irreducible disagreement',
|
||||
format: 'Facilitated synthesis'
|
||||
}
|
||||
],
|
||||
documentation_requirements: [
|
||||
'Values prioritized',
|
||||
'Values deprioritized',
|
||||
'Moral remainder (what is lost)',
|
||||
'Dissenting views with full legitimacy',
|
||||
'Review date for changed circumstances'
|
||||
]
|
||||
};
|
||||
}
|
||||
|
||||
_createPrecedent(deliberation, outcome, valuesPrioritization) {
|
||||
return {
|
||||
id: `prec_${Date.now()}`,
|
||||
deliberation_id: deliberation.deliberation_id,
|
||||
decision_summary: outcome.decision_summary,
|
||||
values_prioritized: valuesPrioritization.prioritized,
|
||||
values_deprioritized: valuesPrioritization.deprioritized,
|
||||
moral_remainder: valuesPrioritization.moral_remainder,
|
||||
dissenting_views: valuesPrioritization.dissenting_views,
|
||||
frameworks_involved: deliberation.structure.frameworks_in_tension,
|
||||
context_factors: outcome.context_factors || [],
|
||||
applicability_scope: outcome.applicability_scope || 'Similar cases with same context factors',
|
||||
binding_status: 'INFORMATIVE_NOT_BINDING', // Per inst_035
|
||||
review_date: outcome.review_date,
|
||||
created_at: new Date()
|
||||
};
|
||||
}
|
||||
|
||||
async _storePrecedent(precedent) {
|
||||
try {
|
||||
// Store precedent in memory for future reference
|
||||
await this.memoryProxy.storePrecedent(precedent);
|
||||
logger.info('Precedent stored', { precedent_id: precedent.id });
|
||||
} catch (error) {
|
||||
logger.error('Failed to store precedent', {
|
||||
error: error.message,
|
||||
precedent_id: precedent.id
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get deliberation statistics
|
||||
* @returns {Object} Statistics object
|
||||
*/
|
||||
getStats() {
|
||||
return {
|
||||
...this.stats,
|
||||
timestamp: new Date()
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Singleton instance
|
||||
const orchestrator = new PluralisticDeliberationOrchestrator();
|
||||
|
||||
// Export both singleton (default) and class (for testing)
|
||||
module.exports = orchestrator;
|
||||
module.exports.PluralisticDeliberationOrchestrator = PluralisticDeliberationOrchestrator;
|
||||
Loading…
Add table
Reference in a new issue