CSV File Upload and Gender-Based CSV Splitter

This project consists of two main sections: Front-End (React) and Back-End (Node.js). The objective of the project is to allow users to upload a CSV file, split its content based on gender, and download the resulting CSV files as a zipped archive.

Front-End Section (React)

Features

• A single-page React interface containing a CSV file upload form.
• Displays a progress indicator during the file upload.
• Displays an appropriate error message if there is an issue during the upload.

How to Run the Front-End

1. Navigate to the frontend directory.
2. Install the required dependencies:

   npm install

3. Start the React development server:

   npm start

The front-end should be accessible at http://localhost:3000 in your browser.

Back-End Section (Node.js)

Features

• A Node.js API with a route to handle CSV file uploads.
• The route efficiently handles CSV files, separating them based on gender.
• The resulting CSV files are compressed into a .zip file and sent back to the client.
• Error handling for issues during the file upload or processing.

How to Run the Back-End

1. Navigate to the backend directory.
2. Install the required dependencies:

   npm install

3. Start the Node.js server:

   npm start

The back-end should be accessible at http://localhost:5000.

Running the Full Project

1. Clone the repository:

   git clone <your-repository-url>

2. Install the required dependencies for both front-end and back-end:

   • In the frontend directory:

     npm install

   • In the backend directory:

     npm install

3. Start both the front-end and back-end servers:

   • In the frontend directory, run:

     npm start

   • In the backend directory, run:

     npm start

Once both servers are running, you can access the React application at http://localhost:3000, and the back-end API will be available at http://localhost:5000.

Error Handling

Both the front-end and back-end have basic error handling for common issues such as:

• Incorrect file format
• Upload interruptions
• Processing errors
• If the data.csv file does not contain any rows with the genders "male" and "female", the code creates an empty ZIP file with no CSV files inside.

License

This project is licensed under the MIT License.