FAP-AMS is a lightweight and fast authentication service that allows users to create and edit profiles using a one-time code with support for two-factor authentication (2FA). It is designed to be simple and straightforward to integrate into your systems providing strong security mechanisms.

The service does not include the function of sending SMS messages. This needs to be implemented as required by your provider in the utils/sender.py file.

The microservice stores the profiles of your users in your Postgres database and also generates tokens for their authorization in your other microservices. To verify the token you can get the public_key in the /utils/public_key endpoint.

• Ability to configure any parameter through the global config
• Support for Dev and Prod mode with varying degrees of exception detail
• JWT and RT tokens are encrypted with RS256 private and public keys
• Password hashed and salted
• Limitations frequency of generating tokens and sending one-time code
• Limitation of attempts to enter one-time code and password
• Regular background events to remove temporary accounts
• Simple logging system

Before deployment, make sure you have Postgres installed and running. Settings for connecting to Postgres will need to be specified in .env or config.py depending on your deployment method.

1. Clone repo:

git clone https://github.com/tri6odin/FAP-AMS
cd FAP-AMS

2. Modify the .env file with your settings.

3. To deploy, use the following commands:

docker build --no-cache -t auth_microservice .
docker run -d --env-file .env -p 8000:8000 auth_microservice

1. Install Python and OpenSSL:

brew install python
brew install openssl

2. Clone repo:

git clone https://github.com/tri6odin/FAP-AMS
cd FAP-AMS

3. Generate keys:

mkdir -p ./keys
openssl genpkey -algorithm RSA -out ./keys/private_key.pem
openssl rsa -pubout -in ./keys/private_key.pem -out ./keys/public_key.pem

4. Create a virtual environment and Install the dependencies:

python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip
pip install --no-cache-dir -r requirements.txt

5. Modify the config.py file with your settings.

6. Start the Uvicorn server:

uvicorn main:app --reload

After deployment, API documentation is available via Swagger and ReDoc on the http://localhost:8000/docs and http://localhost:8000/redoc endpoints or in the http://localhost:8000/openapi.json file.

The service defines several endpoints for managing authentication, user profiles, and more. Below are the actual endpoints provided by the API:

• GET /utils/public_key: Retrieve the public key.

• POST /auth/code: Request an authentication one-time code.

• PUT /auth/token: Request an authentication token.

• PATCH /auth/refresh: Refresh an authentication token.

• PUT /user/profile: Update user profile information.

• PATCH /user/credentials: Update user credentials.

• POST /user/password: Set or update a user's password.

• POST /user/profile: Delete a user profile.

The project incorporates a number of powerful libraries and frameworks, each contributing to its robustness and efficiency:

• FastAPI: A modern, very fast web framework for building APIs.
• Pydantic v2: Utilized for data parsing and validation using Python type hints, and supports automatic generation of JSON schema for data models.
• Asyncpg: A library for asynchronous PostgreSQL database interaction, enhancing database operation performance.
• SQLAlchemy: Offers a comprehensive set of tools for SQL and ORM that facilitate efficient database interaction.
• BCrypt: Designed for secure password hashing.
• Cryptography: Contains cryptographic recipes and primitives for securing data.
• PyJWT: Enables encoding and decoding of JWT tokens, commonly used for authentication in web services.
• APScheduler: Python library that lets you schedule your code to be executed periodically.

Contributions to the FAP-AMS project are welcome. Please ensure to follow the project's coding standards and submit your pull requests for review.

A significant portion of the code (95%) was generated using ChatGPT-4, designed and tested by humans.

All donations support continued development. Thanks!

• Bitcoin (BTC): 18xTkZNXgTJPjLDE78zSy8o479TTNs3Jd3
• TON (TON): UQAokcJWPgkoNV8HXTF1pCPEhjVE02ZlL9wb5xD9WBLu4_63

This project is licensed under the MIT License.