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Hi! I'm working on chunking large CSV file uploads and implementing drag and drop functionality. I am using data sample from a hotel building energy consumption.

License: MIT License

Dockerfile 4.88% Shell 0.23% Python 37.36% HTML 4.56% JavaScript 52.97%
reactjs django django-rest-framework docker material-ui celery reactchartjs

csv-file-upload-data-visualisation's Introduction

Welcome to CSV File Upload

Hi! I'm working on chunking large CSV file uploads and implementing drag and drop functionality. I am using data sample from hotel building energy consumption.

Tech Stack ๐Ÿ› 

  • ReactJs
  • Material UI
  • Django
  • PostgreSQL
  • Celery
  • Docker
  • Nginx

Running App

Setup project manually by running the following commands:

Set up backend:

  1. Install all backend project dependencies

    pip install -r requirements.txt

  2. Run migrations

    python manage.py makemigrations python manage.py migrate

  3. Start server

    python manage.py runserver -

Set up frontend:

  1. Change directory to /app directory

    cd frontend/app/

  2. Run npm install to install all frontend project dependencies

    npm i

  3. run frontend development client

    npm start

NB: or you could just run one command with docker ๐Ÿ˜Ž

Running App via Docker

Side note, I am still working on a bug from the docker deployment side -- uploading large files is still an issue i am trying to fix.

  1. Builds and starts dev server container detached

    docker-compose up --build -d

  2. Go to url

    http://localhost

    make sure to visit frontend/app/src/settings/index.js to make the necessary adjustment to run without the port provision from browser

csv-file-upload-data-visualisation's People

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