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High Level Design DataExtractor
aditya-xq edited this page Jun 1, 2023
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1 revision
To implement the DataExtractor feature in DataDex, the following high-level design can be considered:
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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.
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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.
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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.
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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.
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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.
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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.
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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.