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Demonstrate simple OAuth through Auth server microservice built with Fast-API

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fastapi OAuth2.0

In this repository, a fully implemented plug-and-play style basic authentication system (OAuth2.0 complient) is implemented primarily with fastapi, SQLAlchemy, pydantic along with some other modern Python libraries and packages, which can easily be extended for adding additional features on top. The logic handled here are transferable to any fastapi project, only except if someone plans to use any database that is not supported with SQLAlchemy or a database driver for which SQLAlchemy does not have a configuration.

What you will find ...

  • Fully useable authentication system using fastapi and any SQLAlchemy supported relational database.
  • All table-mapping SQLAlchemy models required for authentication.
  • System for authenticating users with JWT access tokens (with multiple configuration for expiries).
  • Asynchronous implementation for database and path operations functions (non-blocking I/O).
  • Asynchronous configuration of alembic for managing database versioning and migrations.
  • Most of the codes are typed-checked. Consistent schema definitions, automatic parsing and validation with pydantic.
  • Fully configured email service which can be used and extended as necessary.
  • Multiple configuration settings which can be tried out only by changing one environment variable.
  • Practical and easily understandable layout of modules. Separation of concerns and unit-tested.
  • Codes are formatted with several pre-commit hooks.
  • Containerization using Docker and local development support with docker compose.

How to install

This project has been containerized with necessary configurations for both productionizing and local development using Docker and local development support with docker compose respectively.

First thing you need to do is to create a .env from the provided .env.sample file and fill in the fields as per your needs.

To use it on local environment, create your database and run:

virtualenv venv
pip install -r requirements.txt
poetry install
alembic upgrade head

and then run the docker compose using:

docker compose up

or you can follow these steps one by one to do it manually:

virtualenv venv
pip install -r requirements.txt
poetry install
alembic upgrade head
uvicorn server.main:app --reload

Access the routes for OpenAPI documentation or ReDoc when the server is running.

Adding new things are very easy to do, follow these steps as a guideline (not mandatory):

  1. Create database model in any script inside the server/models module, and make migrations by running alembic revision --autogenerate -m "<some message>", followed by upgrading the database tables accordingly with alembic upgrade head.

  2. Create necessary schemas using pydantic inside the server/schemas module (name your scripts consistently for better organization). It's best to inherit the classes in server/schemas/base.py for consistent configurations (..API for path operation related things, ..ORM for database side of things).

  3. Re-use the existing utility functions from server/services module or create new as needed.

  4. Make a separate class for managing database queries to each table/models. This will keep the logics together and better for readability. See the modules inside server/sql for reference and put your classes inside this directory.

  5. Make use of the dependencies and create your path operation functions following the pattern in server/routers module.

  6. Add any new variable you need in the server/core/environments module, if the value is common for all modes, keep it in the BaseConfig of server/core/environments/base.py or else put the mode-dependent variables in their corresponding module/class.

  7. Include your endpoints in the server/main.py, and you should be good to go!

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