Blog

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.

Frontend Deployment

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.

Discussing the core forem open source software project — features, bugs, performance, self-hosting. 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). As much as I don’t like Buzzfeed, I used the site to create this silly little quiz about capybaras.

• I prefer this setup to one big repository mainly because it’s easier to deploy.
• MongoDB is a cross-platform document-oriented database program.
• You can get a list of the environment variables at the “mongo” and “mongo-express” Docker hub image URLs listed above.
• 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.
• Donations to freeCodeCamp go toward our education initiatives, and help pay for servers, services, and staff.
• 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.

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.

This concludes Part 2 of limefx scam the tutorial, where we implemented the FastAPI server, set up environment variables, created a docker-compose file, and configured Nginx. In the next part, we’ll focus on setting up the React frontend for our FARM stack todo application. Congratulations on completing this comprehensive FARM stack tutorial! By building this todo application, you’ve gained hands-on experience with some of the most powerful and popular technologies in modern web development.

Discussing AI software development, and showing off what we’re building. I will be showing two methods, one using my CLI create-farm-app, and one manually. Both are pretty simple, but if you prefer not to set up all that much yourself, you can use the CLI.

Folders and files

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.

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.

Conclusion and Next Steps

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.

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.

Features of the todo application

Make sure to add the database name (“todo”) at the end of “.mongodb.net/”. This implementation sets up the FastAPI server with CORS middleware, connects to MongoDB, and defines the API endpoints for our todo application. The FARM stack is designed to leverage the strengths of each component, allowing developers to create feature-rich applications with a smooth development experience. As for using MongoDB as a database, I find it easy to work with using Python, since the BSON documents resemble dict type objects. Especially given that storage is so much more cost effective than when I started my career. I am also finding that the MongoDB aggregation pipelines are good enough for basic reporting needs.

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.

The file “data/mongo-init/issuse.tar.gz” will be unzipped and imported using the “mongoimport” command found in the install 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.

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. 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 be using Heroku to deploy the backend, and GitHub pages to deploy the frontend.
• On this part 3 of the tutorial series we will connect our API to MongoDB to have data persistence.
• In this series, I will share my experience building a FARM stack with Docker Compose.
• 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.
• When you run the script you should see a line similar to the one below when you look through the docker-compose command output.
• Welcome to this tutorial series about building a FARM stack application.

By the end of this tutorial you will learn https://limefx.biz/ all the necessary steps to develop, test an deploy a FARM stack application. To make sure the MongoDB data is persistent we map the directory on the host where the MongoDB data will be stored. If you do not map a volume to store the data, then the “mongo” service container will start fresh with no data every time it is restarted. The “restart” option will be set to “always” for the “mongo” and “mongo-express” services.

We’re a place where coders share, stay up-to-date and grow their careers. A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. See how real companies are using generative AI technologies to accelerate time to value, optimize costs, and improve customer satisfaction. FastAPI is the perfect back-end solution for your React front end. Its tight integration with Pydantic works perfectly with MongoDB’s document data model.

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.

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.