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CTHUB - Provide download option for clean data #388

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4 tasks
katerinkus opened this issue Sep 11, 2024 · 1 comment
Open
4 tasks

CTHUB - Provide download option for clean data #388

katerinkus opened this issue Sep 11, 2024 · 1 comment
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Low Low priority Task Any work that does not directly impact the user

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@katerinkus
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katerinkus commented Sep 11, 2024

Describe the task
When users upload their database, the system may, in some cases, make minor adjustments to the file to ensure consistency (e.g., formatting changes like capitalizing column headers). If such adjustments are made, the user must be informed, and an option to download the updated file (Clean Dataset) should be provided

Mockups https://www.figma.com/design/K7gNHRnlYuG27w8XGVquY5/Warnings%2FErrors?node-id=585-3640&t=2No47FnRznfaQwRh-1

Prototype https://www.figma.com/proto/K7gNHRnlYuG27w8XGVquY5/Warnings%2FErrors?page-id=0%3A1&node-id=585-4135&node-type=frame&viewport=4486%2C-3847%2C0.26&t=T12liYkFnUDMbNVv-1&scaling=scale-down-width&content-scaling=fixed&starting-point-node-id=585%3A4135

Purpose
The purpose of this task is to provide users with the ability to download their updated dataset (Clean Dataset) when the system makes adjustments. This ensures transparency by informing users of any changes to their file and providing access to a consistent, well-formatted version.

Acceptance Criteria

  • The ‘Clean Dataset’ download button is available below the window where the uploaded file is displayed, showing the file name, size, and delete option.
  • The ‘Clean Dataset’ available if the file contains no errors, but warnings may be present
  • The ‘Clean Dataset’ download option should only be available when the system has made adjustments to the file.
  • Download button that downloads a csv or excel file with adjustments
@ArawuSamuel1
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Scalability concerns were raised.
Katia and Lalita will meet to discuss more and create related mock ups

@shayjeff shayjeff added Low Low priority Task Any work that does not directly impact the user labels Nov 13, 2024
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Labels
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