@kangthink/q-engine/dist/transforms/ScientificTransform.js

A question-answer generation engine that stimulates thinking

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.ScientificTransform = void 0;
const types_1 = require("../types");
const BaseTransform_1 = require("./BaseTransform");
class ScientificTransform extends BaseTransform_1.BaseTransform {
    constructor() {
        super(...arguments);
        this.mode = types_1.TransformMode.SCIENTIFIC;
    }
    async transform(context) {
        const { sourceNode, options } = context;
        // Scientific method typically generates questions to systematically investigate a topic
        const targetNodeType = options?.targetNodeType || this.defaultTargetType;
        // Get or create prompt template
        const promptTemplate = this.promptManager.getPrompt(this.mode) ||
            this.promptManager.getDefaultPrompt(this.mode);
        // Build prompt with variables
        const targetTypeKorean = targetNodeType === types_1.NodeType.QUESTION ? '질문' : '답변';
        const count = options?.count ? ` ${options.count}` : '';
        const prompt = this.buildPrompt(promptTemplate.template, {
            content: sourceNode.content,
            targetType: targetTypeKorean,
            count: count,
        });
        // Generate content using LLM
        const generatedContent = await this.generateContent(prompt);
        // Parse content to extract single result (first item if multiple)
        const parsedContent = this.extractSingleResult(generatedContent);
        // Create and return transform result
        return this.createTransformResult(sourceNode, parsedContent, targetNodeType);
    }
    /**
     * 다중 결과에서 첫 번째 결과만 추출
     */
    extractSingleResult(content) {
        const parsedResults = this.parseMultipleResults(content);
        return parsedResults.length > 0 ? parsedResults[0] : content.trim();
    }
}
exports.ScientificTransform = ScientificTransform;
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