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""" |
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Create a test PDF for testing the PDF Analysis & Orchestrator |
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""" |
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from reportlab.lib.pagesizes import letter |
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from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer |
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from reportlab.lib.styles import getSampleStyleSheet |
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from reportlab.lib.units import inch |
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def create_test_pdf(): |
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"""Create a test PDF with sample content""" |
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doc = SimpleDocTemplate("test_document.pdf", pagesize=letter) |
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styles = getSampleStyleSheet() |
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content = [ |
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Paragraph("PDF Analysis & Orchestrator - Test Document", styles['Title']), |
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Spacer(1, 12), |
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Paragraph("Executive Summary", styles['Heading1']), |
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Paragraph(""" |
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This document serves as a test case for the PDF Analysis & Orchestrator application. |
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It contains various sections that can be used to test different analysis capabilities |
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including summarization, technical explanation, and content segmentation. |
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""", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Introduction", styles['Heading1']), |
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Paragraph(""" |
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The PDF Analysis & Orchestrator is a powerful tool that leverages artificial intelligence |
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to provide comprehensive document analysis. It uses advanced natural language processing |
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techniques to understand, summarize, and explain complex documents across various domains. |
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""", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Key Features", styles['Heading1']), |
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Paragraph(""" |
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The system offers several key features that make it particularly useful for document analysis: |
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""", styles['Normal']), |
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Paragraph("1. Intelligent Analysis", styles['Heading2']), |
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Paragraph(""" |
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The AI-powered analysis engine can understand context and provide meaningful insights |
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from complex documents. It adapts its language and complexity based on the target audience. |
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""", styles['Normal']), |
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Paragraph("2. Document Chunking", styles['Heading2']), |
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Paragraph(""" |
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For large documents, the system automatically breaks them into manageable chunks while |
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maintaining context through intelligent sentence boundary detection and overlap handling. |
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""", styles['Normal']), |
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Paragraph("3. Batch Processing", styles['Heading2']), |
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Paragraph(""" |
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Users can process multiple documents simultaneously, with comprehensive reporting that |
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includes individual results and batch summaries. |
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""", styles['Normal']), |
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Paragraph("4. Custom Prompts", styles['Heading2']), |
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Paragraph(""" |
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The system supports custom prompt templates that can be saved, organized, and reused |
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across different analysis sessions. |
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""", styles['Normal']), |
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Paragraph("Technical Implementation", styles['Heading1']), |
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Paragraph(""" |
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The application is built using modern Python technologies including Gradio for the user |
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interface, OpenAI's GPT models for analysis, and pdfplumber for PDF processing. The |
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architecture follows a multi-agent pattern with specialized agents for different aspects |
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of analysis. |
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""", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Performance Considerations", styles['Heading1']), |
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Paragraph(""" |
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The system includes several performance optimizations including PDF text extraction caching, |
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configurable chunk sizes, and streaming responses for better user experience. These features |
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ensure efficient processing even for large documents and multiple concurrent users. |
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""", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Use Cases", styles['Heading1']), |
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Paragraph(""" |
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The PDF Analysis & Orchestrator is suitable for a wide range of use cases including: |
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""", styles['Normal']), |
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Paragraph("• Research Paper Analysis", styles['Normal']), |
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Paragraph("• Business Document Summarization", styles['Normal']), |
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Paragraph("• Technical Documentation Explanation", styles['Normal']), |
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Paragraph("• Legal Document Review", styles['Normal']), |
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Paragraph("• Educational Content Processing", styles['Normal']), |
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Paragraph("• Report Generation and Analysis", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Conclusion", styles['Heading1']), |
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Paragraph(""" |
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The PDF Analysis & Orchestrator represents a significant advancement in document analysis |
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technology. By combining artificial intelligence with user-friendly interfaces and powerful |
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processing capabilities, it provides a comprehensive solution for document understanding |
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and analysis across various domains and use cases. |
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""", styles['Normal']), |
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Spacer(1, 12), |
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Paragraph("Contact Information", styles['Heading1']), |
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Paragraph(""" |
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For more information about the PDF Analysis & Orchestrator, please refer to the |
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project documentation or contact the development team. The application is designed |
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to be continuously improved based on user feedback and technological advancements. |
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""", styles['Normal']), |
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] |
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doc.build(content) |
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print("✅ Test PDF created: test_document.pdf") |
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if __name__ == "__main__": |
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create_test_pdf() |
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