🔧 A Comprehensive Guide to Setting Up Flask Environment for Backend Development and Connecting It to a React Frontend

It's Day #13 of #100daysofMiva coding challenge. Don't be surprised I jumped to backend, one of my project's MVP is due for submission tomorrow so I sat with it all through today. Initially I used firebase for backend but later changed it to flask. The process and experience is what I documented in this report so you can learn a thing or two also.

In this report, I'll delve into setting up a Flask environment for backend development and integrating it with a React frontend. I'll cover project directory structures, essential commands, and code snippets to illustrate key concepts. Whether you're a beginner or an expert, this guide aims to provide valuable insights into building a robust backend with Flask and connecting it to a modern frontend framework like React. Some of these I just learnt them today myself.

Setting Up Flask for Backend Development

Project Directory Structure

Organizing your project directory is crucial for maintainability. Here's a typical structure for a Flask backend:

my_flask_project/
│
├── app/
│   ├── __init__.py
│   ├── routes.py
│   ├── models.py
│   └── utils.py
│
├── migrations/
│
├── .env
├── config.py
├── requirements.txt
└── run.py

• app/__init__.py: Initializes the Flask application and sets up configuration.
• app/routes.py: Defines the application's routes and views.
• app/models.py: Contains data models and database interactions.
• app/utils.py: Utility functions used across the application.
• .env: Environment variables for sensitive data.
• config.py: Configuration settings for Flask and database.
• requirements.txt: Lists project dependencies.
• run.py: Entry point to run the Flask application

Setting Up the Environment

1. Install Flask and Dependencies:

Use the following command to create a virtual environment and install Flask:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install flask flask_sqlalchemy python-dotenv

2. Create requirements.txt:

Save your dependencies to requirements.txt:

pip freeze > requirements.txt

3. Configure the Flask Application (app/__init__.py):

from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from dotenv import load_dotenv
import os

load_dotenv()

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('DATABASE_URL', 'sqlite:///site.db')
db = SQLAlchemy(app)

from app import routes

4 Define Routes (app/routes.py):

from app import app, db
from flask import request, jsonify

@app.route('/api/clients', methods=['POST'])
def add_client():
    data = request.json
    # Implement your client addition logic here
    return jsonify({'message': 'Client added successfully!'}), 201

5 Run the Application (run.py):

from app import app

if __name__ == '__main__':
    app.run(debug=True)

Debugging and Testing

Run the Flask App:

python run.py

Test Endpoints:

Use tools like Postman or curl to test your API endpoints:

curl -X POST http://localhost:5000/api/clients -H "Content-Type: application/json" -d '{"name": "John Doe"}'

Connecting Flask Backend to React Frontend

Project Directory Structure

For a React frontend connected to a Flask backend, your project directory might look like this:

my_project/
│
├── frontend/
│   ├── src/
│   ├── public/
│   ├── package.json
│   └── .env
│
├── backend/
│   ├── app/
│   ├── migrations/
│   ├── .env
│   ├── config.py
│   ├── requirements.txt
│   └── run.py
│
└── README.md

• frontend/src/: Contains React components and logic.
• frontend/package.json: Lists React project dependencies.
• frontend/.env: Environment variables for React, such as API base URL.
• backend/: Contains Flask project files as described earlier.

Setting Up React

Create a React App:

Use Create React App to set up your frontend:

npx create-react-app frontend
cd frontend

Install Axios for API Requests:

npm install axios

Configure Environment Variables (frontend/.env):

REACT_APP_API_BASE_URL=http://localhost:5000

Create a Component to Handle API Requests (frontend/src/MyMeasurement.js):

import React, { useState } from 'react';
import axios from 'axios';

const MyMeasurement = () => {
  const [client, setClient] = useState({ name: '' });

  const handleChange = (e) => {
    setClient({ ...client, [e.target.name]: e.target.value });
  };

  const handleSubmit = async () => {
    try {
      const response = await axios.post(`${process.env.REACT_APP_API_BASE_URL}/api/clients`, client);
      console.log(response.data);
    } catch (error) {
      console.error('Error adding client:', error);
    }
  };

  return (
    <div>
      <input type="text" name="name" value={client.name} onChange={handleChange} />
      <button onClick={handleSubmit}>Add Client</button>
    </div>
  );
};

export default MyMeasurement;

Start the React Application:

npm start

Debugging and Testing

• Check Console Logs: Use browser developer tools to monitor network requests and debug issues.

• Cross-Origin Resource Sharing (CORS): Ensure that your Flask backend is configured to allow requests from your React frontend. Install and configure Flask-CORS: