"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.getEnrichmentPrompt = getEnrichmentPrompt;
exports.getSamplePromptForDocType = getSamplePromptForDocType;
function getEnrichmentPrompt(content, docType = 'markdown') {
    return `You are a document analyst preparing metadata for a RAG search system.
Extract structured metadata to help users find and understand this document.

Respond with this exact JSON structure:

{
  "summary": "2-3 sentences: What is this document about? What problem does it solve?",
  "tags": ["5-10 SPECIFIC terms from this document for search - not generic words"],
  "category": "technical | research | code | data | changelog | troubleshooting | reference | tutorial",
  "audience": "all | beginner | intermediate | expert",
  "doc_purpose": "reference | tutorial | troubleshooting | conceptual | guide | specification",
  "complexity": 1-5,
  "actionable": true or false,
  "key_technologies": ["specific tools, languages, frameworks mentioned"]
}

Guidelines:
- tags: Extract SPECIFIC terms that appear in the document, not generic descriptions
- category: Pick the single best match
- audience: Default to "all" unless clearly targeted to specific skill level
- complexity: 1=overview, 2=beginner guide, 3=intermediate, 4=advanced, 5=deep implementation
- actionable: true if reader should DO something, false if just informational
- key_technologies: Only include specific named technologies, not generic terms

Document type: ${docType}

---
${content}
---

Respond with valid JSON only. No explanation or markdown formatting.`;
}
function getSamplePromptForDocType(docType) {
    const samples = {
        pdf: 'PDF document',
        word: 'Word document',
        email: 'Email message',
        image: 'Image with OCR text',
        audio: 'Audio transcript',
        video: 'Video transcript',
        presentation: 'Presentation slides',
        excel: 'Spreadsheet data',
        markdown: 'Markdown document'
    };
    return samples[docType] || 'document';
}
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