The system must be built with a backend in Node.js, a frontend in React.js and use a Postgres database.
The user will be able to upload a CSV file with the product code and the new price, and the tool must validate the information, ensuring that the price is not below cost, does not exceed the 10% readjustment limit and that the price of the package be updated according to the components.
At the end, the system will display the validated product information and allow the price to be updated in the database.
This is a full stack project that utilizes React, Node.js, MySQL, MySQL Workbench, Postman, JavaScript, Sequelize, and PapaParse. The project involves the development of a web application that allows importing data through a CSV file on the frontend. The backend handles routes, models, and validations to ensure data integrity and security.
- React
- Node.js
- ElephantSQL
- Postman
- JavaScript
- Sequelize
- PapaParse
To get started with the project, follow the steps below:
- Clone the repository:
git clone <repository_url> - Navigate to the project directory:
cd <project_directory> - Install the necessary dependencies:
- For the backend:
- Install Sequelize:
npm install sequelize
- Install Sequelize:
- For the frontend:
- Install PapaParse:
npm install papaparse
- Install PapaParse:
- For the backend:
- Set up the MySQL database using MySQL Workbench.
- Update the database configuration in the backend to match your MySQL database.
- Start the server using the command:
npm run dev
The backend of this project is built using Node.js and utilizes Sequelize as the ORM (Object-Relational Mapping) tool to interact with the MySQL database. It handles routes, models, and validations to ensure the smooth flow of data and maintain data integrity.
The backend consists of various routes that handle different operations. These routes define the endpoints for data retrieval, creation, update, and deletion. Each route is responsible for processing incoming requests, performing the necessary actions on the data, and sending appropriate responses.
Models in the backend represent the structure of the data stored in the MySQL database. Sequelize simplifies the creation and management of models by providing a robust set of functionalities. Models define the tables and relationships in the database, allowing you to interact with the data using JavaScript objects.
Data validation is a critical aspect of this project to ensure the accuracy and security of the data. The backend implements validations to check the integrity of the incoming data. By enforcing validation rules, we can prevent invalid or malicious data from being stored in the database. Validations are implemented at the model level to ensure that data meets the specified criteria before being processed or stored.
The frontend of this project is developed using React, providing a user-friendly interface for importing data through a CSV file. The data from the CSV file is then processed and sent to the backend for further validation and storage in the MySQL database.
The frontend uses PapaParse, a JavaScript library, to handle CSV parsing. PapaParse offers efficient parsing capabilities and enables the user to preview and manipulate the imported data before submitting it to the backend.
This full stack project demonstrates the integration of multiple technologies to create a powerful web application. By combining React for the frontend, Node.js for the backend, MySQL for database management, and Sequelize for data handling, we achieve a robust and scalable solution. The backend handles routes, models, and validations to ensure data integrity, while the frontend allows easy importing of CSV data.
The project is online and can be used using the sample CSV file on the project.
The backend is uploaded to Cyclic using Postgres
link: https://update-product-price.netlify.app/
NodeJs, MySQL, Postman, JavaScript, React, Sequelize, VSCode
Finalized