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Enables the capability to effortlessly upload large volumes of data from a CSV file into the database.

Python 91.20% Mako 8.80%
alembic fast-api bulk-data-loader pydantic-models sqlalchemy python3

fastt's Introduction

Features

1. Upload Bulk Data

image

2. Get all data from database

image

How to setup the project on your local server?

  1. Clone the repository:
git clone https://github.com/anshumannandan/Fastt

To run the server, you need to have Python installed on your machine. If you don't have it installed, you can follow the instructions here to install it.

  1. Navigate to the project directory:
cd Fastt
  1. Install & Create a virtual environment:
pip install virtualenv
virtualenv venv
  1. Activate the virtual environment:
venv/scripts/activate
  1. Install the dependencies:
pip install -r requirements.txt
  1. Navigate to main directory
cd project
  1. Run the backend server on localhost:
uvicorn app.main:app --reload

You can access the endpoints from your web browser following this url:

http://127.0.0.1:8000

fastt's People

Contributors

anshumannandan avatar

Watchers

 avatar

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