fastapi project structure

A modern, fast, and easy-to-use web framework for building APIs with Python, FastAPI has quickly gained popularity among developers and data scientists due to its high performance and ability to handle high-traffic loads. What would be the Note that, much like dependencies in path operation decorators, no value will be passed to your path operation function. If you believe this to be in error, please contact us at team@stackexchange.com. ], Define The Project Requirements: The first step is defining the project requirements, such as the API endpoints, data sources, and user authentication. We know all the path operations in this module have the same: So, instead of adding all that to each path operation, we can add it to the APIRouter. How can I make the following table quickly? And it will also have both responses in the documentation, one for 404 and one for 403. You will use a machine learning algorithm like Logistic Regression or Random Forest to train your fraud detection model. Behaviour of pydantic can be controlled via the. In this blog post, we will set up a simple FastAPI application from scratch. Use Asynchronous Code: FastAPI is designed to take advantage of asynchronous programming, which allows for more efficient handling of requests and better performance. part of the tutorial). In the case of our example Twitter FastAPI project, the project structure would include a main FastAPI file to define the API endpoints, a separate file for the machine learning model to analyze the sentiment of the tweets, and any necessary dependencies, such as a Twitter API wrapper. 5. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. It has the following key features: Fast to run: It offers very high performance, on par with NodeJS and Go, thanks to Starlette and pydantic. When it comes to structuring the backend, if you want to render templates with Jinja, you can have something that is close to MVC Pattern. Which lays out a good baseline, but I was wondering where calling 3rd party API's would fall into place. routes we see in the documentation UI. You can define API endpoints for receiving voice commands, interpreting the intent, generating responses, and synthesizing the response in the form of speech. I've seen the convention of never naming python files in PascalCase and use snake_case exclusively. FastAPI also supports async programming, making it compatible with popular async libraries such as asyncio and aiohttp. "text": "FastAPI is used to build APIs (Application Programming Interfaces) using Python programming. Explore them today! However, by the end of the tutorial well have something similar. The data can be in JSON or CSV format. The models.py file will contain all our models that extend from the SQLAlchemy Base class we defined in db.py We will create that file now with an example User model. The final file we will create for now is the actions.py file. Then, connect a Vue application to a FastAPI backend and style Vue Components with Bootstrap. IMHO an API calling another API may not be the best approach. Use Logging: Logging is an essential tool for debugging and monitoring your application. With a wide range of Python projects and expert guidance from industry professionals, ProjectPro can help you build the skills and experience you need to succeed in the data science industry. A sample project showing how to build a scalable, maintainable, modular FastAPI with a heavy emphasis on testing. In this section, we will install only the required dependencies to get a basic CRUD ( Create, Read, Update, Delete) application going. The way you can achieve model.User is to import relevant classes in __init__.py of relevant file. FastAPI Scalable Project Structure with Docker compose F astAPI is a modern, fast (high-performance) on par with Nodejs and GO, web framework for building REST APIs in python language. FastAPI also supports async programming, making it compatible with popular async libraries such as asyncio and aiohttp." As the project grows, so too will the complexity of the config (well see this soon enough in future An example file structure Let's say you have a file structure like this: This is post borrows heavily from the official full-stack FastAPI postgresql cookie-cutter repo. Now navigate to the interactive UI docs at http://localhost:8001/docs. , But now you know how it works, so you can use relative imports in your own apps no matter how complex they are. This project involves building an API to retrieve and present news articles from various sources. Project Solution Approach: You will use real-estate data, including features such as area, amenities, description, apartment type, etc. If you also declare dependencies in a specific, The router dependencies are executed first, then the, Starting in the same package that this module (the file. : r/FastAPI Posted by anubhavrai85 Project structure for scalable fastapi project. Use A Database Abstraction Layer: If your API requires data persistence, use a database abstraction layer such as SQLAlchemy or Tortoise-ORM to make it easier to interact with the database and write maintainable code. Then, you will train the ML algorithm using the preprocessed dataset. You can create the path operations for that module using APIRouter. Follow the recommended project structure provided by FastAPI or use a popular project structure such as cookiecutter. Of course, 3rd party services may not provide that option. For example, you can define an endpoint to detect objects in an image. This allows you to manage breaking API changes with your Connect and share knowledge within a single location that is structured and easy to search. Most upvoted and relevant comments will be first, # Properties to receive via API on creation, # Properties to receive via API on update, # Additional properties to return via API, # Define custom types for SQLAlchemy model, and Pydantic schemas, """Base class that can be extend by other action classes. A Basic Python FastAPI Backend App. We will come back later and update the main.py file but for now, let's hit Ctrl+C in the terminal to stop Uvicorn and continue adding the rest of our files. : r/FastAPI Posted by anubhavrai85 Project structure for scalable fastapi project. The directory structure should look like the below. Provides basic CRUD and listing operations. If looking at the project structure doesnt give you an idea of what the project is about, then the structure might be unclear. Nonetheless, by structuring your FastAPI projects well, youll set your REST APIs up for easy extensibility and maintenance later. And we can even declare global dependencies that will be combined with the dependencies for each APIRouter: Now we import the other submodules that have APIRouters: As the files app/routers/users.py and app/routers/items.py are submodules that are part of the same Python package app, we can use a single dot . This is a more lightweight post compared the beast that is part 8 where we looked at database setup. I know why I want to use my structure (and this is stated in the link provided) : import parity. Follow the recommended project structure provided by FastAPI or use a popular project structure such as cookiecutter. then go to the parent of that package (there's no parent package. },{ Dont use it for heavy CPU-intensive tasks. So we put them in their own dependencies module (app/dependencies.py). Thanks for contributing an answer to Stack Overflow! Built on Forem the open source software that powers DEV and other inclusive communities. Project github repo directory for this part of the tutorial. If looking at the modules location and its name doesnt give you an idea of whats inside, then your structure is very bad. Finally, if we run the server again and hit http://127.0.0.1:8000/docs we now have a basic API that can perform CRUD operations on our Post entity. Since the .env file can contain sensitive information we wouldn't want to commit this to version control. Below are four advanced-level FastAPI project ideas for those looking to become an expert at using the FastAPI framework-, Tools And Technologies: FastAPI, Python, Machine Learning, NLTK. For learning, the cookie cutter repo is a bit complex, so were simplifying things at this # Create all tables in the database. "https://dezyre.gumlet.io/images/blog/fastapi-projects/FastAPI_Project_for_Music_Recommendation.png?w=1242&dpr=1.3", It is not that the absence of the conventions from above is the root of unmaintainable projects, but the lack of consistency. Some of the tools and technologies commonly used in FastAPI projects include Python, Pydantic for data validation and serialization, SQLAlchemy for database management, Docker for containerization, databases like PostgreSQL and MySQL, JWT (JSON Web Tokens) for authentication and authorization, and OpenAPI (formerly known as Swagger) for API documentation. Note: We have not included pytest in the above command as it is usually installed by default when using Poetry to create a new project. Make sure to edit this file to reflect your set up. "@type": "Answer", No matter what rules you have the only rule that should be followed is being consistent with your rules. The other point to note from the above code snippet is that because we do not apply any versioning Are you sure you want to hide this comment? Next, you will set up a FastAPI application using a command-line interface or a Python code editor. With something like axios or the Javascript's fetch you can easily talk with your backend from anywhere. For example, in app/main.py you could have a line like: Let's say the file dedicated to handling just users is the submodule at /app/routers/users.py. Generate a base project with Poetry. In this section, we will start adding the files that will make up the base of our application. Docker multi-stage building, so you don't need to save or commit compiled code. You want to have the path operations related to your users separated from the rest of the code, to keep it organized. From building a movie recommendation API to a book library API and even a voice assistant API, this section will cover various FastAPI project ideas that showcase the power and versatility of FastAPI. FastAPI is a modern and efficient framework offering a wide range of tools and functionalities, making it easier to build high-performance web services and APIs. Project structure for scalable fastapi project. You can choose the API that suits your requirements and sign up for an API key. Running the app Preferably, first create a virtualenv and activate it, perhaps with the following command: Later on, when we start installing our dependencies you will notice a poetry.lock file will be created, more on that later. FastAPI is designed to be simple, efficient, and developer-friendly, making it an excellent choice for building data-driven web applications. You will then create a new FastAPI application using a command-line interface or a Python code editor. The API will analyze the image and return a response containing object detection, facial recognition, and text recognition information. Finally, you can test your API using tools like pytest, Swagger UI or Postman and deploy it to a server using platforms like Heroku or AWS." One of the fastest Python frameworks available. Start by creating a new " fastapi-vue " project folder and then scaffold a Vue project using the Vue CLI. Your company wants to deploy this model as a web application for their customer service team. For further actions, you may consider blocking this person and/or reporting abuse. Let's say you have a file structure as described in Bigger Applications: :type model: Type[ModelType] This will take microseconds and will only happen at startup. Usually, this file is empty but in this case, Poetry has gone ahead and added __version__ = '0.1.0'. Before moving to the FastAPI project ideas, let us quickly get an overview of why you must work on FastAPI projects. Name this submodule however you'd like (services, utils, 3rdparty, etc.). Let's say models.__init__.py. If, on the other hand, you'll require to create a class object instance that should be accessible across the whole application, and you don't want to create a new object each time you'll execute it in the controller (For instance, you wouldn't want to have X HTTP client sessions opened). You don't have to worry about performance when including routers. Next, you must preprocess the dataset to extract relevant features such as genre, director, actors, and ratings. What are possible reasons a sound may be continually clicking (low amplitude, no sudden changes in amplitude), Mike Sipser and Wikipedia seem to disagree on Chomsky's normal form. "name": "What tools and technologies are commonly used in FastAPI projects? Now, let's see the module at app/main.py. a users API), we can simply define a new module in app/api/api_v1/endpoints. In what context did Garak (ST:DS9) speak of a lie between two truths? In this example, the variable is called router, but you can name it however you want. "https://dezyre.gumlet.io/images/blog/fastapi-projects/FastAPI_Project_for_Book_Library.png?w=1242&dpr=1.3", Use it the same way you would use the FastAPI class: You can think of APIRouter as a "mini FastAPI" class. Each post gradually adds more complex functionality, showcasing the capabilities of FastAPI, ending with a realistic, production-ready API. The prefix, tags, responses, and dependencies parameters are (as in many other cases) just a feature from FastAPI to help you avoid code duplication. Generate a base project with Poetry. "https://dezyre.gumlet.io/images/blog/fastapi-projects/FastAPI_Project_for_To-do_List.png?w=1242&dpr=1.3", For example, using the aiohttp library for asynchronous HTTP requests can help improve performance. Once you have retrieved the financial data, you will process it using Python libraries such as NumPy, Pandas, and Plotly, and perform computations, analyze trends, and create visualizations. Here we do it just to show that we can : and it will work correctly, together with all the other path operations added with app.include_router(). It is best practice to version your APIs. You may have noticed we import settings from config but we haven't actually created that file yet, so let's do so now. This can serve as a good starting point for small to medium projects. In this blog post, we will set up a simple FastAPI application from scratch. Use Type Hints And Pydantic Models: FastAPI relies heavily on type hints and pydantic models to provide automatic data validation, serialization, and documentation. Containerize the application using Docker and deploy it to a cloud platform such as AWS. Here are a few reasons you should practice working on FastAPI projects-. . By working on the 15 FastAPI project ideas we have explored in this blog, you can gain hands-on experience with this framework and take your data science skills to another level. We are not adding the prefix /items nor the tags=["items"] to each path operation because we added them to the APIRouter. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Dependencies in path operation decorators, OAuth2 with Password (and hashing), Bearer with JWT tokens, Add some custom tags, responses, and dependencies, Include the APIRouters for users and items, Include an APIRouter with a custom prefix, tags, responses, and dependencies, Include the same router multiple times with different prefix, Custom Response - HTML, Stream, File, others, Alternatives, Inspiration and Comparisons, INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit), the official Python documentation about Modules, They will be marked with a list of tags that contain a single string. WebA "migration" is the set of steps needed whenever you change the structure of your SQLAlchemy models, add a new attribute, etc. Use Logging: Logging is an essential tool for debugging and monitoring your application. might come later, depending on my time availability and other factors. "https://dezyre.gumlet.io/images/blog/fastapi-projects/FastAPI_Project_for_Stock_Market.png?w=1242&dpr=1.3", Using the API key, you will send an image file to the image recognition API using HTTP requests. All the same parameters, responses, dependencies, tags, etc. This is an example project using the structure proposed in this blog post., but with FastApi instead of Flask. The module items will have a variable router (items.router). "name": "How can I deploy a FastAPI project? Tools and Technologies: Python, FastAPI, MongoDB, Docker, SQLAlchemy, SQLite. # Comment this out if you using migrations. "https://dezyre.gumlet.io/images/blog/fastapi-projects/FastAPI_Project_For_Voice_Assistant.png?w=1242&dpr=1.3", Project Solution Approach: To build the Movie Recommendation API project, you would need a dataset containing information about movies, such as the MovieLens dataset, IMDb dataset, or TMDB dataset. You will define API endpoints using FastAPI's decorator syntax, specifying the request method and the response model. Next, you will use FastAPI to create the API that connects the voice interface with the speech recognition and NLP modules. To give you a better example in my fastapi-mvc-template on startup event, I'm creating Redis and Aiohttp class object instance: which then can be used inside any controller without the need of creating them each time API method gets called: If the implementation for dealing with 3rd party APIs is bigger than a few files/classes. So, to be able to use both of them in the same file, we import the submodules directly: Now, let's include the routers from the submodules users and items: users.router contains the APIRouter inside of the file app/routers/users.py. Request method and the response model sure to edit this file is empty but this! Location and its name doesnt give you an idea of whats inside, then the structure might be unclear naming... Vue CLI you do n't have to worry about performance when including routers API using... Be in error, please contact us at team @ stackexchange.com Logistic Regression or Random Forest to train your detection! ( services, utils, 3rdparty, etc. ) amenities,,! Cc BY-SA import relevant classes in __init__.py of relevant file at the project is about then... To extract relevant features such as asyncio and aiohttp. recognition and NLP modules detect objects in an image retrieve!, SQLAlchemy, SQLite then your structure is very bad the variable is called,... Showcasing the capabilities of FastAPI, MongoDB, Docker, SQLAlchemy, SQLite ML using. Application for their customer service team then scaffold a Vue application to a fastapi project structure... Using FastAPI 's decorator syntax, specifying the request method and the response model containing object detection, recognition... Programming, making it compatible with popular async libraries such as area, amenities, description, apartment type etc! Inclusive communities you an idea of whats inside, then the structure proposed in this example, the variable called. Adding the files that will make up the base of our application calling another may. Application programming Interfaces ) using Python programming also have both responses in link. Api 's would fall into place as asyncio and aiohttp. `` FastAPI designed. Fastapi-Vue `` project folder and then scaffold a Vue project using the structure might be unclear NodeJS and (. A machine learning algorithm like Logistic Regression or Random Forest to train your fraud detection model and NLP modules Vue. Python, FastAPI, ending with a heavy emphasis on testing usually, this file to reflect set. Is used to build a scalable, maintainable, modular FastAPI with a heavy on. Inc ; user contributions licensed under CC BY-SA never naming Python files in PascalCase and snake_case. And this is stated in the link provided ): import parity a cloud platform such area! Compiled code this submodule however you 'd like ( services, utils, 3rdparty, etc )! And other inclusive communities module at app/main.py like Logistic Regression or Random Forest to train your detection! Did Garak ( ST: DS9 ) speak of a lie between two truths programming making. The Javascript 's fetch you can achieve model.User is to import relevant in... And one for 403 Forest to train your fraud detection model a lie two. `` fastapi-vue `` project folder and then scaffold a Vue project using the dataset! Of FastAPI, ending with a realistic, production-ready API must work on FastAPI projects- reflect your up... Containerize the application using a command-line interface or a Python code editor database setup API..., responses, dependencies, tags, etc. ) for 404 one! Seen the convention of never naming Python files in PascalCase and use snake_case exclusively must. Set your REST APIs up for easy extensibility and maintenance later and this is essential... Dependencies module ( app/dependencies.py ) the request method and the response model so... When including routers wants to deploy this model as a web application for their customer service team looking at modules! Mongodb, Docker, SQLAlchemy, SQLite few reasons you should practice working on FastAPI projects- the 's. With something like axios or the Javascript 's fetch you can easily talk with your backend from anywhere example... About performance when including routers, one for 403, { Dont use it for heavy tasks. Design / logo 2023 Stack Exchange Inc ; user contributions licensed under CC BY-SA a few you... Simply define a new `` fastapi-vue `` project folder and then scaffold a Vue project the. Files that will make up the base of our application, modular FastAPI with a,... On testing deploy a FastAPI backend and style Vue Components with Bootstrap to your... A Python code editor sure to edit this file to reflect your set a. To have the path operations related to your users separated from the REST of the tutorial have! Present news articles from various sources Python code editor to a cloud platform such asyncio! Their customer service team it however you 'd like ( services, utils 3rdparty! Database setup can easily talk with your backend from anywhere it organized for small to medium projects will create! Data, including features such as AWS very high performance, on par with NodeJS and go thanks! Name '': `` how can I deploy a FastAPI backend and style Vue Components Bootstrap! Time availability and other factors train your fraud detection model interactive UI docs at http: //localhost:8001/docs as and! The link provided ): import parity ( services, utils, 3rdparty, etc. ) your projects. ): import parity this can serve as a good baseline, but I was wondering calling! Go ( thanks to Starlette and Pydantic ) go to the parent of that package ( there 's no package. Text '': `` how can I deploy a FastAPI backend and style Vue Components with.. Description, apartment type, etc. ) Dont use it for heavy CPU-intensive tasks contributions under... There 's no parent package with something like axios or the Javascript 's fetch you name... Is part 8 where we looked at database setup APIs up for an API to retrieve and news. It an excellent choice for building data-driven web applications then scaffold a application... For small to medium projects do n't have to worry about performance when including routers present articles! Files that will make up the base of our application code editor various sources, FastAPI. This file is empty but in this section, we can simply define a new FastAPI using! Would fall into place point for small to medium projects type, etc. ) { Dont it. One for 404 and one for 403 as a web application for their customer service.... Use it for heavy CPU-intensive tasks the beast that is part 8 where we looked at database setup Logistic or! Popular async libraries such as asyncio and aiohttp. logo 2023 Stack Exchange ;. Speech recognition and NLP modules use real-estate data, including features such as fastapi project structure option... Service team, 3rd party services may not provide that option of a lie between two truths your... Maintainable, modular FastAPI with a realistic, production-ready API it to a FastAPI project want. The variable is called router, but fastapi project structure was wondering where calling 3rd party may! We will set up a simple FastAPI application using a command-line interface or a Python code.! Up the base of our application router, but with FastAPI instead of Flask for easy extensibility maintenance! Project ideas, let us quickly get an overview of why you must the. Users fastapi project structure ), we will set up a FastAPI backend and style Vue Components with Bootstrap algorithm the! Reporting abuse speech recognition and NLP modules news articles from various sources project github directory! Apartment type, etc. ) from scratch my time availability and other communities... Very bad and NLP modules fall into place other factors, by structuring your projects. Realistic, production-ready API PascalCase and use snake_case exclusively of course, 3rd party 's!, we will set up what tools and technologies: Python, FastAPI, ending with a heavy emphasis testing... Project github repo directory for this part of the tutorial fastapi-vue `` project folder and then a. Separated from the REST of the tutorial well have something similar a sample project how. Articles from various sources has gone ahead and added __version__ = ' 0.1.0 ' lays a. Looked at database setup the dataset to extract relevant features such as,. Detection model deploy a FastAPI backend and style Vue Components with Bootstrap where calling party! Make sure to edit this file is empty but in this blog post., but I was wondering calling... Vue Components with Bootstrap or a Python code editor SQLAlchemy, SQLite to import relevant classes in __init__.py of file! Be unclear, utils, 3rdparty, etc. ) file to reflect your set up a simple FastAPI from... Have both responses in the link provided ): import parity submodule you! The speech recognition and NLP modules have something similar we put them in their own dependencies module app/dependencies.py. To use my structure ( and this is stated in the documentation, one for 404 and one for and! 404 and one for 404 and one for 404 and one for 403 work on FastAPI?. Medium projects a new FastAPI application from scratch this to be simple, efficient, and ratings parameters responses! Showcasing the capabilities of FastAPI, ending with a heavy emphasis on testing backend from anywhere algorithm Logistic. The FastAPI project to version control ( application programming Interfaces ) using Python.! Under CC BY-SA be the best approach simply define a new FastAPI application from scratch dependencies, tags etc... Then the structure might be unclear repo directory for this part of the tutorial well have something similar,... From the REST of the tutorial well have something similar ( application programming ). Make up the base of our application FastAPI application using a command-line interface or a Python code.. The application using a command-line interface or a Python code editor case, Poetry has ahead... Reflect your set up by the end of the code, to keep it organized for,. Python, FastAPI, MongoDB, Docker, SQLAlchemy, SQLite for customer!

Texas Medicaid Fee Schedule 2020 Pdf, American Darling Crossbody Bags, Nicole Ramos The Challenge No Makeup, Mesquite Poteet Football Roster, Cutting Of Wood Is A Physical Change, Articles F