![]() ![]() All you need is a basic understanding of Python and some familiarity with HTML and CSS, and you will be on your way to becoming a master of full stack web development in Python and FastAPI! Learn best web development practices and conventionsĪnd the best part is you don't have to know anything about FastAPI, web routing, security, or any of the above. Use SQLAlchemy to write functionality to interact with databases in Python Use Alembic to migrate and update databases Use Pydantic and type hints to create data models and schemas in PythonĬreate OAuth2 flows and use them to authenticate users using FastAPI logicĬreate, manage, and update JSON Web TokensĬreate database models in Python and use them with FastAPI routes Understand JSON and how to both parse and return it using Python Validate HTTP routes and implement error handling in REST APIs and full-stack applications Parse HTTP requests in python and extract relevant data, including parameters, form data, and request bodies Understand HTTP, how it works, and how to make requests, including methods, headers, bodies, and status codesįormat programmatic data to include in front-end pages Use database browsers and SQLAlchemy to create, manage, update, and parse SQLite databasesĬreate user authentication and registration logic with error handling Use Jinja2, Bootstrap, HTML, and CSS to create front-end templates with control flow (conditionals, loops, etc.)įundamentally understand REST API architecture and how to implement REST APIs in FastAPI It combines theory and practical use to give you everything you need to learn FastAPI, all while allowing you to build 3 full-stack web applications written primarily in Python along the way.Ĭreate 3 full-stack applications using FastAPI in Python and industry-standard practices This course aims to eliminate that confusion by teaching FastAPI from the very basics to the advanced level. With databases, REST architecture, HTTP requests, OAuth2, and all the other protocols that go alongside full stack web development, it can be hard to learn, especially when coupled with a complicated framework like FastAPI and the nuanced parts of Python. ![]() json () assert data = assert data = user_idĪnd all the modifications we made in the database during the tests will be in the test.db database instead of the main sql_app.db.There is a lot that goes into full stack web development. main import app, get_db SQLALCHEMY_DATABASE_URL = "sqlite://" engine = create_engine ( SQLALCHEMY_DATABASE_URL, connect_args = " ) assert response. We create a new file at sql_app/tests/test_sql_app.py.įrom fastapi.testclient import TestClient from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.pool import StaticPool from. In this example we'll create a temporary database only for the tests. ![]() In the test, you could use a dependency override to return your custom database session instead of the one that would be used normally. Your normal dependency get_db() would return a database session. The only changes here are in the new testing file. Let's update the example from SQL (Relational) Databases to use a testing database.Īll the app code is the same, you can go back to that chapter check how it was. The main idea is exactly the same you saw in that previous chapter. You could want to set up a different database for testing, rollback the data after the tests, pre-fill it with some testing data, etc. You can use the same dependency overrides from Testing Dependencies with Overrides to alter a database for testing. ![]() The new docs will include Pydantic v2 and will use SQLModel (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well. The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0. ![]()
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