Use the FARM Stack to Develop Full Stack Apps

The file “data/mongo-init/issuse.tar.gz” will be unzipped and imported using the “mongoimport” command found in the install limefx scam script above. The “mongoimport” command will direct the data to the “farmdata” database and “issues” collection. We use environment variables to hold the values of the database username and passwords.

You will need to run your favorite text editor to modify the files and scripts used in this series. In this series, I will share my experience building a FARM stack with Docker Compose. The first part of this series will focus on the MongoDB part of the stack.

Environment

You have successfully built and tested a FARM stack todo application. This application demonstrates the integration of FastAPI, React, and MongoDB in a full-stack web application. Create a .env file in the root directory with the following content.

Have you ever written a full stack application with React, Angular, or Vue? This tutorial will cover the FARM stack, which stands for FastAPI, React, and MongoDB. This project is a To-Do List, which is a fairly simple project to do in React. This tutorial can generally be applied to other frameworks like Vue, and Angular, but I will be using React.

AI-Driven Outcomes: How MongoDB Is Helping Organizations Win

When it is done, hit the “Browse Collections” button and insert a new database and collection named “TodoDatabase” and “todos” respectively. This concludes Part 1 of the tutorial, where we set up the project structure and implemented the Data Access Layer for our FARM stack todo application. In the next part, we’ll implement the FastAPI server and create the API endpoints.

Hit “Try it out” on any of them, but probably start with the add todo one, and then you can perform an operation. Ignore the response for now and check your MongoDB database in the view collections section. You should see a new item, but if you don’t you can go back to the response and debug it (you may have to refresh the database if you already had the page open). You should try out the other operations as well, but if all goes well, you should be able to start working on your frontend.

This project has demonstrated how these technologies work together seamlessly to create a full-featured, scalable web application. This concludes Part 3 of the tutorial, where we set up the React frontend for our FARM stack todo application. We’ve created the main App component, the ListTodoLists component for displaying all todo lists, and the ToDoList component for individual todo lists. In the next part, we’ll focus on running and testing the application.

If you click on the database you will see that the “issues” collection has already been loaded for you. We will use the “issues” collection in the next part of this series when we discuss the “FastAPI” part of the Docker Compose FARM stack we are building. Part two of this series will be coming soon and will focus on the FastAPI part of the FARM stack.

This project will provide a solid foundation in FARM stack development and Docker containerization, which you can then expand upon for more complex applications in the future. When you run the script you should see a line similar to the one below when you look through the docker-compose command output. There is a lot of data in the Docker Compose output so it may be easy to miss. I will be using Heroku to deploy the backend, and GitHub pages to deploy the frontend.

Initial Installation

Donations to freeCodeCamp go toward our education initiatives, and help pay for servers, services, and staff. In this article, I’ll be giving you an introduction to each of the key technologies, and then we’ll build a project using the FARM stack and Docker so you can see how everything works together. Which means that all information stored in MongoDB is based on documents and these documents have no defined schema (or structure). I like FastAPI because it has an easy-to-use documentation framework built in.

Project Tutorial

And because it’s an async framework, it scales readily with your MongoDB cluster. We read every piece of feedback, and take your input very seriously.

• In the next part, we’ll implement the FastAPI server and create the API endpoints.
• If you don’t plan to deploy this app, you can just use a local MongoDB database, but since I will be deploying my app, I will be using their cloud hosting service.
• Ignore the response for now and check your MongoDB database in the view collections section.
• We read every piece of feedback, and take your input very seriously.
• You have successfully built and tested a FARM stack todo application.

I recommend setting up the app manually for your first project. Remember to keep your dependencies updated and follow best practices for security and performance as you continue to develop your application. If you’re familiar with r/savedyouaclick and you sometimes find yourself reading list articles but hate the adds/images that come along with them, then this sub is for you. On this part 3 of the tutorial series we will connect our API to MongoDB to have data persistence.

I will be showing you how to deploy with submodules in this tutorial, but I’m sure you can find a way to deploy without using them if you look into it. We will also map an install directory to the directory “/docker-entrypoint-initdb.d” in the “mongo” service. This directory contains an install script that runs “mongoimport” to install initial data in a compressed data file containing JSON entries on each line. A high-performance, rapid development, Python-based development stack for rich web applications — that’s the FARM stack. Comprising FastAPI, React, and MongoDB, the FARM stack provides a development environment that shortens time to production for today’s modern web apps. Welcome to this tutorial series about building a FARM stack application.

The service “mongo-express” is for the convenient web user interface that can be used to connect to the MongoDB server. If you are familiar with MongoDB you can use your preferred MongoDB client. I do a lot of development on my laptop with Ubuntu Linux installed on it. So rather than installing each of these technologies on my laptop, I create the application stacks using Docker Compose. If I move my work to my Windows Surface laptop I can use the same docker-compose.yml and corresponding files to get up and running quickly. I prefer this setup to one big repository mainly because it’s easier to deploy.

And the following parts of the series will build upon each other. Now we can make variables for our database and collection, and then make a bunch of functions to modify the collection’s data. A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. https://limefx.name/ Explore how AI and MongoDB Atlas Vector Search are enabling a new generation of smart, context-aware applications. Watch to learn the fundamentals of the world’s most popular NoSQL database, MongoDB.

I will discuss the components of the GitHub repository below so you can have reference as to what each part of the MongoDB part of the stack accomplishes. As for React on the front-end, I must use it for some of the application integrations I am building. For example, Shopify applications use Next.js with React for applications.

• Discussing AI software development, and showing off what we’re building.
• This project is a To-Do List, which is a fairly simple project to do in React.
• I will be using a Ubuntu 20.04 clean installation to develop this tutorial series, so the installation instructions will be specific for Linux (sorry Windows fans).

By combining these technologies, the FARM stack provides a comprehensive solution for building modern web applications. It allows developers to create fast, scalable backends with FastAPI, intuitive and responsive frontends with React, and flexible, efficient data storage with MongoDB. This stack is particularly well-suited for applications that require real-time updates, complex data models, and high performance. This is where we will place the configuration for the MongoDB part of the stack.

Installing Dependencies

This was a fun quiz that my boyfriend and I made in like half an hour about capybaras based off of some internet memes/ our own capybara lore we’ve built together. UK based subreddit for non-political news, commentary and discussion. This means it does not use relational database models, but instead is described as a NoSQL database, which uses JSON-like documents with optional schemas. MongoDB is a cross-platform document-oriented database program. Computer Scientist, MS, interested in machine learning, data driven automation, nature, and whiskey.

If you haven’t already, make a .gitignore file, and put .env inside.Let’s connect to the database now.To do so, we’ll first use dotenv to get the URI from our file. We will be creating a todo application to help us understand the FARM stack. Before we start creating the applicaiton, let’s discuss more about the features and software architecture. Importing the data creates a database called “farmdemo” and the collection “issues” in that database.

You can get a list of the environment variables at the “mongo” and “mongo-express” Docker hub image URLs listed above. If you don’t plan to deploy this app, you can just use a local MongoDB database, but since I will be deploying my app, I will be using their cloud hosting service. Navigate to MongoDB Atlas, and set up a new account, or create a new project if you’ve used this before. Once a project has been created, you can add a cluster for free, with the “Add a Database” button.