create-ai-chat-context-experimental/dist/cjs/extractors/ActionExtractor.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.ActionExtractor = void 0;
const index_js_1 = require("../types/index.js");
const index_js_2 = require("../types/index.js");
/**
 * Extract AI actions using priority-based approach
 * PRIORITY 1: Use conversation summary (full content)
 * PRIORITY 2: Extract from individual messages (fallback)
 */
class ActionExtractor {
    /**
     * Extract AI actions from messages and summary
     *
     * @param messages - Array of messages
     * @param summary - Conversation summary (optional)
     * @returns Result with AIAction[] or error
     */
    extract(messages, summary) {
        try {
            // PRIORITY 1: Extract from conversation summary
            if (summary && summary.aiResponses) {
                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 AI actions: ${message}`, error));
        }
    }
    /**
     * Extract actions from conversation summary
     * @param summary - Conversation summary
     * @returns AIAction[]
     */
    extractFromSummary(summary) {
        const actions = [];
        // Split AI responses by [AI N] markers
        const aiResponseMatches = summary.aiResponses.match(/\[AI \d+\] (.+?)(?=\n\n\[AI \d+\]|\n\n$|$)/gs);
        if (aiResponseMatches && aiResponseMatches.length > 0) {
            aiResponseMatches.forEach((response, index) => {
                const cleanResponse = response.replace(/\[AI \d+\] /, '').trim();
                if (cleanResponse.length > 0) {
                    actions.push({
                        timestamp: new Date().toISOString(),
                        details: cleanResponse, // ✅ FULL content, not truncated
                        type: this.detectActionType(cleanResponse),
                        source: 'conversation_summary',
                        messageIndex: index + 1,
                    });
                }
            });
        }
        return actions;
    }
    /**
     * Extract actions from individual messages
     * @param messages - Array of messages
     * @returns AIAction[]
     */
    extractFromMessages(messages) {
        const actions = [];
        const aiMessages = messages.filter((m) => m.role === 'assistant');
        aiMessages.forEach((msg, index) => {
            actions.push({
                timestamp: msg.timestamp,
                details: msg.content, // ✅ FULL content, not truncated
                type: this.detectActionType(msg.content),
                source: 'augment_leveldb',
                messageIndex: index + 1,
            });
        });
        return actions;
    }
    /**
     * Detect action type from content
     * @param content - Action content
     * @returns Action type
     */
    detectActionType(content) {
        const lowerContent = content.toLowerCase();
        // Check for agent actions (code blocks are the primary indicator)
        if (lowerContent.includes('```')) {
            return 'augment_agent_action';
        }
        // Default to response
        return 'augment_ai_response';
    }
}
exports.ActionExtractor = ActionExtractor;
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