This fork is an attempt to translate all of the comments and documentation into English. Everything else stays the same. I'm open to PRs if anyone wants to help correct some of the translations. All of the translations came from gathering all of the Chinese throughout all of the files and then running it through the OpenAI API to translate. Then another script went through and did a find and replace. I'm sure there sentences that need a bit of correction.

Pydantic-V2 Completed 🎉

English | Simplified Chinese

FastAPI framework based on the front-end and back-end separation of the middle and back-end solutions, follow the pseudo three-tier architecture design, support for python3.10 and above versions

Its purpose is to allow you to use it directly as the infrastructure of your new project, this repository as a template library open to any person or enterprise can be used for free!

🔥Continuously updated and maintained🔥

The mvc architecture is a common design pattern in python web, but the three-tier architecture is even more fascinating

In python web development, there is no common standard for the concept of three-tier architecture, so we'll call it a pseudo three-tier architecture here

But please note that we don't have a traditional multi-app structure (django, springBoot...) If you don't like this pattern, use templates to transform it to your heart's content!

You can view some of the preview screenshots in fastapi_best_architecture_ui

Luckily, we now have a demo site: FBA UI

username / password: admin / 123456

• Design with FastAPI PEP 593 Annotated Parameters
• Global asynchronous design with async/await + asgiref
• Follows Restful API specification
• Global SQLAlchemy 2.0 syntax
• Pydantic v1 and v2 (different branches)
• Casbin RBAC access control model
• Role menu RBAC access control model
• Celery asynchronous tasks
• JWT middleware whitelist authentication
• Global customizable time zone time
• Docker / Docker-compose deployment
• Pytest Unit Testing

1. User management: system user role management, permission assignment
2. Department Management: Configure the system organization (company, department, group...)
3. Menu Management: Configuration of system menus, user menus, button privilege identification
4. Role Management: Assign role menu privileges, assign role routing privileges
5. Dictionary Management: Maintain common fixed data or parameters within the system.
6. Operation Logs: logging and querying of normal and abnormal system operations.
7. Login Authentication: graphical authentication code background authentication login
8. Login Logs: Logging and querying of normal and abnormal user logins
9. Service Monitoring: server hardware device information and status
10. Scheduled tasks: automated tasks, asynchronous tasks, and function invocation are supported
11. Interface Documentation: Automatically generate online interactive API interface documentation.

• Python: 3.10+
• Mysql: 8.0+
• Redis: The latest stable version is recommended
• Nodejs: 14.0+

1. Install dependencies

   pip install -r requirements.txt

2. Create a database fba, choose utf8mb4 encoding

3. Install and start Redis

4. Create a .env file in the backend/app/ directory

   cd backend/app/
   touch .env

5. Copy .env.example to .env

   cp .env.example .env

6. Database migration alembic

   cd backend/app/
   
   # Generate migration file
   alembic revision --autogenerate
   
   # Execute the migration
   alembic upgrade head

7. Start celery worker and beat

   celery -A tasks worker --loglevel=INFO
   # Optional, if you don't need to use the scheduled task
   celery -A tasks beat --loglevel=INFO

8. Modify the configuration file as needed

9. Execute the backend/app/main.py file to start the service

10. Browser access: https://127.0.0.1:8000/api/v1/docs

Go to fastapi_best_architecture_ui for details

1. Go to the directory where the docker-compose.yml file is located and create the environment variable file .env

   cd deploy/docker-compose/
   
   cp .env.server ../../backend/app/.env
   
   # This command is optional
   cp .env.docker .env

2. Modify the configuration file as needed

3. Execute the one-click boot command

   docker-compose up -d --build

4. Wait for the command to complete automatically

5. Visit the browser: https://127.0.0.1:8000/api/v1/docs

Initialize the test data using the backend/sql/init_test_data.sql file

For reference only

1. Define the database model (model) and remember to perform database migration for each change
2. Define the data validation model (schema)
3. Define routes (router) and views (api)
4. Define the business logic (service)
5. Write database operations (crud)

Go to fastapi_best_architecture_ui for details

Execute unittests via pytest

1. Create the test database fba_test, select utf8mb4 encoding

2. Using backend/sql/create_tables.sql file to create database tables

3. Initialize the test data using the backend/sql/init_pytest_data.sql file

4. Enter the app directory

   cd backend/app/

5. Execute the test command

   pytest -vs --disable-warnings

• FastAPI
• Pydantic
• SQLAlchemy
• Casbin
• Ruff
• ...

WeChat / QQ

If this program has helped you, you can sponsor us with some coffee beans: ☕ Sponsor ☕

This project is licensed under the terms of the MIT license