Python FastAPI Tutorial: Build a REST API in 15 Minutes - YouTube
Learn how to install and build your first app with FastAPI (a high-performance web framework for Python).In this tutorial, you'll learn how to instal FastAPI...
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Benefits of using FastAPI
- Easy to learn and use
- Fast development with useful abstractions
- Async by default, providing good performance Heading: Installing and setting up FastAPI
- Install FastAPI and Uvicorn using terminal commands
- Create a project directory and a main.py file
- Import FastAPI and create a new app
- Define paths in FastAPI using app decorators
- Use Uvicorn command to run the server Heading: Adding routes in FastAPI
- Routes are used to define different URLs that the app responds to
- Create routes for different interactions, such as adding or viewing items
- Start by creating an empty list of items
- Create an endpoint for adding items to the list
Creating a Specific Item Endpoint and Handling Errors
- To view a specific item on the list, create a new endpoint using the get decorator with the path /items/item_id.
- Make sure to create an item before testing the get items endpoint to have something in the list.
- Use the index in the URL to get the corresponding item.
- If an item that doesn't exist is requested, an internal server error is returned.
- To handle this situation, raise a specific error using HTTP exception with a 404 status code.
- Include a detail parameter to provide more information about why the item was not found.
- Use request and path parameters to send information to FastAPI.
- Convert the type of the parameter using type hints, and FastAPI will handle the conversion.
Modeling Request and Response Data in FastAPI
- FastAPI supports "Pydantic" models for structuring data and providing validation.
- Import BaseModel from Pydantic and extend it to create a model class.
- Models can have attributes with different data types and validation rules.
- Models can be used as arguments in endpoint functions to handle request payloads.
- JSON payloads can be sent as a request body instead of query parameters.
- Models can be used as response models by adding the "response model" argument to the endpoint decorator.
- Models make it easier to handle and validate request and response data.
- Models can be useful when building front-end clients that interact with FastAPI.
Features and Documentation of FastAPI
- FastAPI provides a defined response structure that is compatible with front-end frameworks like React or NextJS.
- The interactive documentation feature in FastAPI allows users to test the API and view endpoints, HTTP methods, and parameters.
- Users can easily test their API by updating the request body and executing the request within the interactive documentation page.
- The "/docs" and "/redoc" paths in FastAPI provide Swagger UI and ReDoc documentation, respectively, allowing users to explore and interact with the API.
- FastAPI also provides a JSON file that contains all the information about the server, including paths, schemas, and responses, which can be used for documentation or building front-end clients.
- FastAPI is asynchronous by default, allowing it to handle more concurrent requests than frameworks like Flask.
- FastAPI is easy to use and simplifies route definition, response model definition, data validation, and handling HTTP exceptions.
- Flask, a more established framework, has higher adoption and community support compared to FastAPI.
Conclusion and Thank You
- This video/article has provided valuable information.
- It is hoped that the content was helpful.
- It allows for fast development with useful abstractions.
- FastAPI is asynchronous by default, providing good performance.