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Design Multi-image Upload System #22

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salazarsebas opened this issue Jan 22, 2025 · 11 comments
Open

Design Multi-image Upload System #22

salazarsebas opened this issue Jan 22, 2025 · 11 comments
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enhancement New feature or request hard difficult kotlin kotlin programming language OnlyDust Issue for contributors who are OnlyDust users

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@salazarsebas
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📸 Design Multi-image Upload System

Overview

The Revolutionary Farmers app needs a sophisticated system for handling multiple product images that makes it easy for farmers to showcase their agricultural products effectively. This system should handle everything from image capture through optimization and storage, while providing an intuitive user experience that works well even in areas with limited connectivity.

Background

Quality product images are crucial for agricultural e-commerce, as buyers need to assess produce quality visually. Many farmers operate in areas with inconsistent internet connectivity and may be using a wide range of Android devices with varying capabilities. Our multi-image upload system needs to accommodate these real-world constraints while ensuring high-quality product presentation.

Technical Design Approach

Image Capture and Selection

The system should provide multiple ways to add product images. Think of it as a flexible photo studio in the farmer's pocket. They can capture new photos directly through the app, select existing images from their device, or even work with offline images that will sync later. The camera interface should offer helpful guides for optimal product photography, such as suggested angles and lighting tips specific to agricultural products.

Preview and Editing Capabilities

Before uploading, farmers need to perfect their product presentations. The system should provide a preview interface where farmers can arrange images in their preferred order, similar to arranging products in a market stall. They should be able to perform basic editing tasks like cropping, rotating, and adjusting brightness. This editing suite needs to work smoothly even when offline, storing edits locally until connectivity is available.

Smart Processing Pipeline

Behind the scenes, the system needs to handle images intelligently. Imagine a smart conveyor belt that processes each image optimally. As images enter the system, they go through automatic quality enhancement, compression, and format optimization. The system should detect and correct common issues like poor lighting or blur, while preserving important product details that buyers need to see.

Progressive Upload Management

The upload process needs to be resilient and user-friendly. Picture a persistent upload manager that can handle interruptions gracefully. If a farmer loses connection while uploading multiple images, the system should automatically pause and resume when connectivity returns. It should also provide clear feedback about upload progress and any issues that arise.

Storage and Delivery Optimization

Once images are uploaded, the system needs to store and serve them efficiently. Think of it as a smart image library that automatically generates different sizes for different uses - thumbnails for lists, medium-sized images for product pages, and high-resolution versions for detailed views. This optimization ensures fast loading times while maintaining image quality where it matters most.

Impact

This system will help farmers by:

  • Making product photography more accessible and professional
  • Reducing upload failures and frustration
  • Ensuring consistent image quality across the platform
  • Minimizing data usage through smart optimization
  • Supporting offline operation in areas with poor connectivity
  • Improving the overall presentation of agricultural products

Success Criteria

We'll know this system is successful when:

  • Image upload failures decrease by 90%
  • Average image upload time reduces by 50%
  • Storage efficiency improves by 40%
  • User satisfaction with image management reaches 90%
  • Image quality scores consistently above 8/10 in buyer surveys

Difficulty: 🛑 Hard

This task presents significant complexity because it requires:

  • Efficient image processing algorithms
  • Sophisticated state management for uploads
  • Offline-first architecture design
  • Memory optimization for large image sets
  • Cross-device compatibility testing
  • Integration with cloud storage services
  • Error handling for various network conditions
  • Balancing image quality with performance
@salazarsebas salazarsebas added enhancement New feature or request ODBoost Only Dust Boost 1 kotlin kotlin programming language hard difficult labels Jan 22, 2025
@caxtonacollins
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I would love to take up this issue. I have implemented as similar functionality and I am position i can get this done in no time. Please assign me

@nottherealalanturing
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May I be assigned to this?

@bruhhgnik
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Hey! Agnik this side, i have experience developing usable apps using Kotlin, i can handle this issue.
Waiting for a positive response from team revolutionary farmers!

@Wendyalbert
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Can I jump on this task?

@sigmadawg
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Hey, Brandon this side.
I work as a kotlin dev in a startup, i have experience making Kotlin based applications.
I can handle this work and make the PR in 4 days max.
Would be waiting for the kind approval!

@salazarsebas
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Issue assigned. Best of luck in resolving it. If you have any questions do not hesitate to ask in the telegram group. You have to report your progress in less than 4 days, this in order to be aware that the contributor is developing the issue. Best regards! 🚜🌾

@sigmadawg

@sigmadawg
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Issue assigned. Best of luck in resolving it. If you have any questions do not hesitate to ask in the telegram group. You have to report your progress in less than 4 days, this in order to be aware that the contributor is developing the issue. Best regards! 🚜🌾

@sigmadawg

Thanks a lot! i'll be working on this asap

@salazarsebas
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Any updates?

1 similar comment
@salazarsebas
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Any updates?

@salazarsebas
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@sigmadawg

@salazarsebas salazarsebas added OnlyDust Issue for contributors who are OnlyDust users and removed ODBoost Only Dust Boost 1 labels Feb 5, 2025
@ekumamatthew
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ekumamatthew commented Feb 5, 2025

Hi @salazarsebas let me try this

I'll compress and covert images to base 64 for easy upload. I'll Ensure consistent image quality across the platform minimizing data usage through smart optimization and specific image width and height so that all uploaded images will appear the same for all uploads..

I'll write a test to confirm the image upload settings.

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enhancement New feature or request hard difficult kotlin kotlin programming language OnlyDust Issue for contributors who are OnlyDust users
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