create-ai-chat-context-experimental/dist/cjs/extractors/IntentExtractor.js

Phase 2: TypeScript rewrite - AI Chat Context & Memory System with conversation extraction and AICF format support (powered by aicf-core v2.1.0).

"use strict";
/**
 * This file is part of create-ai-chat-context-experimental.
 * Licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later).
 * See LICENSE file for details.
 */
Object.defineProperty(exports, "__esModule", { value: true });
exports.IntentExtractor = void 0;
const index_js_1 = require("../types/index.js");
const index_js_2 = require("../types/index.js");
/**
 * Extract user intents using priority-based approach
 * PRIORITY 1: Use conversation summary (full content)
 * PRIORITY 2: Extract from individual messages (fallback)
 */
class IntentExtractor {
    /**
     * Extract user intents from messages and summary
     *
     * @param messages - Array of messages
     * @param summary - Conversation summary (optional)
     * @returns Result with UserIntent[] or error
     */
    extract(messages, summary) {
        try {
            // PRIORITY 1: Extract from conversation summary
            if (summary && summary.userQueries) {
                return (0, index_js_2.Ok)(this.extractFromSummary(summary));
            }
            // PRIORITY 2: Extract from individual messages
            return (0, index_js_2.Ok)(this.extractFromMessages(messages));
        }
        catch (error) {
            const message = error instanceof Error ? error.message : 'Unknown error';
            return (0, index_js_2.Err)(new index_js_1.ExtractionError(`Failed to extract user intents: ${message}`, error));
        }
    }
    /**
     * Extract intents from conversation summary
     * @param summary - Conversation summary
     * @returns UserIntent[]
     */
    extractFromSummary(summary) {
        const intents = [];
        // Split user queries by [User N] markers
        const userQueryMatches = summary.userQueries.match(/\[User \d+\] (.+?)(?=\n\n\[User \d+\]|\n\n$|$)/gs);
        if (userQueryMatches && userQueryMatches.length > 0) {
            userQueryMatches.forEach((query, index) => {
                const cleanQuery = query.replace(/\[User \d+\] /, '').trim();
                if (cleanQuery.length > 0) {
                    intents.push({
                        timestamp: new Date().toISOString(),
                        intent: cleanQuery, // ✅ FULL content, not truncated
                        inferredFrom: 'conversation_summary',
                        confidence: 'high',
                        messageIndex: index + 1,
                    });
                }
            });
        }
        return intents;
    }
    /**
     * Extract intents from individual messages
     * @param messages - Array of messages
     * @returns UserIntent[]
     */
    extractFromMessages(messages) {
        const intents = [];
        const userMessages = messages.filter((m) => m.role === 'user');
        userMessages.forEach((msg, index) => {
            intents.push({
                timestamp: msg.timestamp,
                intent: msg.content, // ✅ FULL content, not truncated
                inferredFrom: 'individual_message',
                confidence: 'medium',
                messageIndex: index + 1,
            });
        });
        return intents;
    }
}
exports.IntentExtractor = IntentExtractor;
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