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Faruq Abdulsalam
Faruq Abdulsalam

Posted on • Updated on

How to connect Flask to ReactJs

Building web applications with the Flask framework and the inbuilt jinja template is cool but hooking your backend to a react frontend(which I believe we all love 😉) is much more interesting. In this tutorial, you are going to be taken through the easy steps you need to take to connect your Flask backend to a React frontend.

Prerequisite

1) Beginner level understanding of the flask framework. If you are new to Flask you can check out my article on how to set up your flask project and use it with the jinja template engine here.

2) Familiarity with the basics of ReactJs. You will be making use of the useState hook and also fetching data from API using axios.

Let's get started.

Project directory

Create the project directory where your application will be stored and then navigate into it.



mkdir project


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cd project


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React frontend setup

Create the frontend react application by running:



npx create-react-app flask_react


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Move into the flask_react directory



cd flask_react


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and then start the frontend application by running



npm start


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The default react application page should pop up in your browser; if it does not, copy and open the link below in your browser.



http://localhost:3000


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react default

Flask backend setup

Create a new directory in your base directory



mkdir backend


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then navigate into it



cd backend


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If you have been following my Building a web application with Flask series you should know the next thing that needs to be created. Yes, a virtual environment. Did you happen to get that right? 😀

Virtual environment

It is recommended to always create a virtual environment before you start your project. This helps you to separate the packages you use in this application from other applications; any change you make here won't affect the same package in another application on your system. To create a virtual environment on your system; run this command:



For mac/unix users: python3 -m venv env
For windows users: py -m venv env


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After creating the environment, activate it by running :



For mac/unix users: source env/bin/activate
For windows users: .\env\Scripts\activate


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Installing Flask

Now that you have your environment up and running, you can go ahead and install Flask



pip install flask


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The next thing is to register the script in an environment file.



pip install python-dotenv


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After successful installation, create the .flaskenv file in the backend directory created above.



touch .flaskenv


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Please note that the preceding . is very important. If you name your file just flaskenv, any environment variable you'll put in it won't be read.

Now put your environment variables in the .flaskenv file:



FLASK_APP=base.py
FLASK_ENV=development


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The application environment is set to development mode so you can easily debug your application and the base.py file which will contain your flask application will be created in the next section.

If the above approach is not used, you would need to keep on exporting your environment variables using export FLASK_APP=base.py and export FLASK_ENV=development whenever you restart your terminal window.

Note: To ensure that the focus of this article doesn't deviate, I'll be making the flask backend structure simple. If you want to build bigger projects you definitely have to create a better folder structure for your application. You can check out my articles on Getting started with Flask and Building a Todo List Application with Flask if you need to learn how to create a folder structure for larger projects.

base.py

Create a new file base.py in the backend directory where the .flaskenv directory is also located.



touch base.py


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Your folder structure should currently look like 👇
Folder structure
Inside the base.py script create a simple API that returns your name and info about you:



from flask import Flask

api = Flask(__name__)

@api.route('/profile')
def my_profile():
    response_body = {
        "name": "Nagato",
        "about" :"Hello! I'm a full stack developer that loves python and javascript"
    }

    return response_body


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The code above contains a simple API which would be called by the react front end to get the response_body dictionary.

You might have noticed two things:
i) the GET http method is not specified here. This is because, by default, view functions in flask accept GET requests only.
ii) the response_body dictionary being returned at the end of the function is not being passed as an argument to the popular jsonify function like this jsonify(response_body). This is because view functions in Flask can return a dictionary, which Flask then turns to JSON format.

The backend has been successfully set up, you can test this by running your application.



flask run


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Then navigate to the url http://127.0.0.1:5000/profile.You should see the dictionary response_body rendered in JSON format.

flask-run-view

You could also use postman to confirm this and you'll still get the same result.
postman-api-call

If you want to push your code to source control. Don't forget to add your env and __pycache__ folders to the gitignore file in the base directory.



backend/env
backend/__pycache__


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Connecting the API endpoint(/profile) to the react frontend

Now you can return to the base directory where the react frontend is located.



cd ..


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Install the axios library:

Note: You can choose to use either axios or fetch to make HTTP requests. However, in this article, the axios library will be used to make requests to the API endpoints you built earlier on.



npm install axios


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package.json

Open the package.json file and add the proxy below the "private": true, line so it ends up like 👇.



  "name": "flask_react",
  "version": "0.1.0",
  "private": true,
  "proxy": "http://localhost:5000", //newline


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By doing this, you will be able to use relative paths when you are making the API requests. Instead of making use of http://localhost:5000/profile you can simply make use of /profile.

Note: The default url which is normally used to access flask applications in the browser is http://127.0.0.1:5000 but http://localhost:5000 was used above as the value to the proxy key. Don't be confused, they are both the same. You can read more on that here

Don't close the package.json file yet. There is something cool you can add as well. You know that whenever your react server is started and you make any change in a file and you save it, the server restarts so that the new change can reflect right?. You can also add that feature to your flask backend application. This is another advantage of connecting react to flask 😎.

Under the scripts section add another key and value.
"start-backend": "cd backend && env/bin/flask run --no-debugger", so it ends up looking like 👇



  "scripts": {
    "start": "react-scripts start",
    "start-backend": "cd backend && env/bin/flask run --no-debugger", //new line
    "build": "react-scripts build",
    "test": "react-scripts test",
    "eject": "react-scripts eject"
  },


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Now you can start your backend server with npm run start-backend. This executes the command passed as its value in the package.json file. It navigates into the env directory in your backend directory and executes the flask run command.

The --no-debugger option is also passed here to disable the browser-based debugger as the Flask backend only serves as a server that holds the API endpoint.

app.js

Here, you'll be making the call to the API endpoint in the flask backend server. After the changes, the app.js file will look exactly like 👇



import { useState } from 'react'
import axios from "axios";
import logo from './logo.svg';
import './App.css';

function App() {

   // new line start
  const [profileData, setProfileData] = useState(null)

  function getData() {
    axios({
      method: "GET",
      url:"/profile",
    })
    .then((response) => {
      const res =response.data
      setProfileData(({
        profile_name: res.name,
        about_me: res.about}))
    }).catch((error) => {
      if (error.response) {
        console.log(error.response)
        console.log(error.response.status)
        console.log(error.response.headers)
        }
    })}
    //end of new line 

  return (
    <div className="App">
      <header className="App-header">
        <img src={logo} className="App-logo" alt="logo" />
        <p>
          Edit <code>src/App.js</code> and save to reload.
        </p>
        <a
          className="App-link"
          href="https://reactjs.org"
          target="_blank"
          rel="noopener noreferrer"
        >
          Learn React
        </a>

        {/* new line start*/}
        <p>To get your profile details: </p><button onClick={getData}>Click me</button>
        {profileData && <div>
              <p>Profile name: {profileData.profile_name}</p>
              <p>About me: {profileData.about_me}</p>
            </div>
        }
         {/* end of new line */}
      </header>
    </div>
  );
}

export default App;



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Now let's go through the new lines of code added to the app.js file.

At the top of the file, the useState hook and axios module are both imported.

Then inside the function named App the useState hook is used to control the state of the profileData variable.

The getData function handles the API calls. It contains the axios module which is used to send a GET request to the API endpoint(\profile) on the backend which responds with the jsonified format of the dictionary declared in the view function.

Next, the setProfileData function updates the state of profileData by assigning the data in the json response to profile_name and about_me.

The getData function is only called when the click me button is pressed.

Finally && is used as a conditional operator, to avoid getting an error. profileData is going to be assigned an initial null state when the application first loads so if you try to access profileData.profile_name or profileData.about_me you get an error message.



TypeError: Cannot read properties of null (reading 'profile_name')


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Hence the need for the && conditional operator, so that the application only knows of the existence of the profileData.profile_name and profileData.about_me codes when the value of profileData has changed from null to containing the response data from the API call.

You don't need to make changes to any other file in the base directory. The work on the frontend part of the application is now complete. Now you can go ahead and test it:

Step1: start your backend server using npm run start-backend
note this command can be run while you are in any directory; be it the base directory(flask_react) or the flask directory (backend)

Step2: start your react server using npm start

flask-react-project

Now click on the click me button to make the API call and get the name and about_me data from the backend.
api call made to get name and about me data

Voila!! you have successfully connected your flask backend to your react frontend. Now I am sure you can build small API endpoints in your flask backend and call the endpoints from your react frontend.

If you have any questions, feel free to drop them as a comment or send me a message on Linkedin or Twitter and I'll ensure I respond as quickly as I can.

Incase you are a Django lover, you would definitely love to connect it to React as well. You can check out my article on How to connect Django to ReactJs to learn how to go about that. Ciao 👋

Cartman

Top comments (12)

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manny22isaac profile image
manny22isaac

Thanks for this Tutorial. I think this is overkill for what I want to do (which is a simple landing page to show my portfolio), but I got the results I needed. I've also added Chakra UI to make it look a little prettier. Thanks again Faruq!

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ninofiliu profile image
Nino Filiu

Meh, all parts except 5 are explained more correctly and in more details in React and Flask docs, and part 5 basically say "use axios", which is not even a good advice since fetch can basically do everything that axios can do.

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nagatodev profile image
Faruq Abdulsalam • Edited

Hello Nino. Thanks for reading all the articles. The knowledge gained from consuming the details in the React and Flask documentation was utilized here to build projects which is a method that further makes it easy to understand the concepts. Hence the reason for the series.

Regarding the issue, you raised with 'Axios'. Developers all have different preferences for stacks/libraries right? and the use of 'Axios' in the article above doesn't mean you can't choose to use ‘fetch’ in your case.

Thank you for reading once again!!

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developer5793 profile image
Clemens Osbahr • Edited

Great Article I really learned a lot including how to use PowerShell. Now I can develop my Plotly/Dash Flask App with React. The only part missing is that for windows users the command in the package.json should be:

    "start-backend": "cd backend && flask run --no-debugger", 

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no?

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dsfai2020 profile image
Falcon Eight • Edited

Thank you for this! I just completed it and it worked. I ran into a depreciation inside of the .flaskenv file
FLASK_APP=base.py
FLASK_ENV=development

The variable FLASK_ENV wasn't supported anymore but the terminal recommended a working solution which was:
FLASK_APP=base.py
FLASK_DEBUGGER=true

I also ran into some issues because I placed my folders inside of the wrong folders. What ended up working for me was
Base_Directory_named_whatever
-frontend_directory
-backend_directory

and I placed all the flask stuff inside of the backend (including my virtual env)
and all of the react stuff inside of the front end.

I also had a git issue where things started to get a little bit messy. It was because I ran a git init in the wrong folder. SO i made sure that I deleted the .git filed to reset it all. Then I went into the basedirectory (the folder that contains frontend and backend) and created a git init from there.

Finally on the package.json edit. It wouldn't work for me unless I deleted the grey newline text from the images above. I added the //newline at the ends of the 2 lines we added in and it caused an error every time I tried to launch my react page. Also make sure not to forget that comma from the image because I did and it also caused a crash.

Lastly I was having a hard time getting the "start-backend" part to work correctly. It was because I had to make sure the the cd part correctly pointed to the exact location of my virtual environment. So for me it was up a directory and inside of the backend folder then to my virtual env.

something like
"start-backend": "cd ../backend && backend_env/bin/flask run --no-debugger",

The npm install axios command worked like a charm when I did it inside of my frontend directory.

Lastly the .gitignore worked great from my basedirectory. I thought to I had duplicated one because I'd found one inside of my frontend directory as well but it seems like that one has it's own automated gitignore that react creates. So I ended up with 2 total. The one you created and the one that react created.

It took about 48 hours of tinkering and making sure my paths and syntax were correct but it all worked out! I'm REALLY REALLY REALLY happy that you put this up!
My next step is to deploy it to a platform like Heroku or AWS.

Faruq,
Thank you SO MUCH!! This walkthrough was great and the pictures were a HUGE help. Also the explanations about WHY you did things helped me even more.

Sorry for the long message and I hope this helps anybody with any issues that they might have ran into.

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xnerro profile image
Bagus Syr

Hy i'm trying to make this for my experience, but there something error when try 'npm run start-backend' erros is env: ‘/bin/flask’: No such file or directory and i'm using windows, thanks

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nagatodev profile image
Faruq Abdulsalam

Hello Bagus,

Did you install flask after creating your environment? and what did you name the environment folder (venv or env) ?

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abhishek569 profile image
Abhishek-569

Error is because in windows file there is no /bin it is /Scripts just replace your env/bin/flask to env/Scripts/flask

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sandipswain profile image
Sandip Swain

Still showing the same error

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tusharpuri10 profile image
Tushar Puri

THANK YOU SO MUCH ❤️

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anuoluwatomiwa profile image
Bamidele Israel Anuoluwatomiwa

Very helpful

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davidha99 profile image
davidha99

How would you deploy this to Heroku?