Smart Auto-detect PDF Engine

[widlestudiollp]

Smart Auto-detect PDF Engine

This pull request introduces a Smart Auto-detect PDF Engine custom component for Retool. The component dynamically interprets and renders any incoming JSON data into a structured document format, with support for both in-app preview and PDF export.

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Overview

The component eliminates the need for predefined templates by automatically analyzing the structure of the provided data and generating an appropriate document layout. It ensures consistent rendering across different data formats while maintaining flexibility and robustness.

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Key Features

Automatic Data Interpretation

• Dynamically detects and processes various JSON structures
• Supports structured and unstructured data without manual configuration

Comprehensive Rendering Support

• Objects are rendered as key-value sections
• Arrays are converted into tabular representations
• Nested and irregular data structures are normalized for display

Live Preview and Export

• Real-time document preview within Retool
• One-click PDF generation and download
• Multi-page PDF support for large datasets

Error Handling and Stability

• Graceful handling of null, undefined, and inconsistent values
• Prevents rendering failures for unexpected data formats

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Configuration Options

The component provides configurable controls to enhance usability:

• Toggle document preview visibility
• Toggle download functionality
• Customize download button:
  • Alignment (left, center, right, full-width)
  • Display style (icon, text, or both)
  • Custom button label
  • Icon selection

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Technical Implementation

• Built using React and the Retool Custom Component SDK
• Utilizes useMemo for optimized rendering performance
• Implements a custom data normalization engine to standardize input
• PDF generation powered by jsPDF and autoTable
• Ensures consistency between UI rendering and exported PDF output

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Testing Coverage

The component has been tested with a wide range of data scenarios, including:

• Invoice and financial data
• Analytical and reporting datasets
• Payroll and structured business data
• Deeply nested JSON structures
• Large datasets (100+ rows)
• Edge cases involving null, empty, and mixed data types

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Benefits

This component significantly reduces development effort by:

• Eliminating the need for manual PDF template creation
• Removing dependency on rigid data schemas
• Providing a unified solution for document rendering and export

Users can simply supply data, and the component will automatically generate a structured document and corresponding PDF output.

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