High Level Design DataExtractor

To implement the DataExtractor feature in DataDex, the following high-level design can be considered:

1. User Interface (UI)

   • Develop a user-friendly interface that allows users to initiate the data extraction process and interact with the extracted data.
   • Provide a preview of the extracted data, organized in a structured manner.
   • Include options for rearranging the extracted data elements to achieve a better presentation.
   • Implement formatting controls for enhancing the appearance of the extracted data, such as font styles, colors, and alignment.

2. Data Extraction

   • Utilize web scraping techniques to extract relevant data from the current web page.
   • Identify and extract various types of data, including text, tables, images, and other media assets.
   • Apply data parsing and cleaning techniques to ensure the extracted data is accurate and usable.

3. Data Organization and Presentation

   • Organize the extracted data in a structured format that is intuitive for content creators to navigate and work with.
   • Group related data elements together and provide options for expanding or collapsing sections for better organization.
   • Enable users to rearrange the extracted data elements, allowing them to customize the order and structure as per their requirements.

4. Formatting Options

   • Implement formatting controls within the UI to enhance the appearance of the extracted data.
   • Provide options for applying font styles, colors, alignment, and other formatting attributes to the extracted data.
   • Ensure that the formatting options are user-friendly and intuitive to use.

5. Export Functionality

   • Offer the ability to export the organized data in a preferred format for easy integration into content creation workflows.
   • Support exporting options such as HTML, Markdown, or a compressed file (e.g., zip) containing all the extracted assets.
   • Provide customizable export settings, allowing users to define specific formatting and output preferences.

6. Integration with Content Creation Tools

   • Enable seamless integration with popular content creation tools or platforms.
   • Provide integrations or APIs to allow direct transfer of the extracted data to content management systems, note-taking applications, or other relevant platforms.

7. Error Handling and Logging

   • Implement error handling mechanisms to handle exceptions and provide meaningful error messages to users gracefully.
   • Incorporate logging functionalities to capture relevant events and errors for troubleshooting and future enhancements.

Please note that this is a high-level design and further detailed design and implementation considerations will be required to build the DataExtractor feature effectively.