JeffQL

A Simple FastAPI authentication & Login API using GraphQL and JWT.

I choose this Name JeffQL cause i have a Low level Friend with a Nickname Jeff i wish he understand that Python and JavaScript is the future 🚀

Getting Started

Prerequisites

• Python 3.8.6 or higher
• FastAPI
• Docker

Project setup

# clone the repo
$ git clone https://github.com/yezz123/JeffQL

# move to the project folder
$ cd JeffQL

Creating virtual environment

• Install pipenv a global python project pip install pipenv
• Create a virtual environment for this project

# creating pipenv environment for python 3
$ pipenv --three

# activating the pipenv environment
$ pipenv shell

# if you have multiple python 3 versions installed then
$ pipenv install -d --python 3.8

# install all dependencies (include -d for installing dev dependencies)
$ pipenv install -d

Running the Application

• To run the Main we need to use uvicorn a lightning-fast ASGI server implementation, using uvloop and httptools.

# Running the application using uvicorn
$ uvicorn main:app

## To run the Application under a reload enviromment use -- reload
$ uvicorn main:app --reload

Running the Docker Container

• We have the Dockerfile created in above section. Now, we will use the Dockerfile to create the image of the FastAPI app and then start the FastAPI app container.

$ docker build

• list all the docker images and you can also see the image jeffql:latest in the list.

$ docker images

• run the application at port 5000. The various options used are:

• -p: publish the container's port to the host port.
• -d: run the container in the background.
• -i: run the container in interactive mode.
• -t: to allocate pseudo-TTY.
• --name: name of the container

$ docker container run -p 5000:5000 -dit --name JeffQL jeffql:latest

• Check the status of the docker container

$ docker container ps

Preconfigured Packages

Includes preconfigured packages to kick start JeffQL by just setting appropriate configuration.

Package	Usage
uvicorn	a lightning-fast ASGI server implementation, using uvloop and httptools.
graphene-python	a library for building GraphQL APIs in Python easily.
PyJWT	a Python library which allows you to encode and decode JSON Web Tokens (JWT).
starlette	a lightweight ASGI framework/toolkit, which is ideal for building high performance asyncio services.

Contributing

• Join the JeffQL Creator and Contribute to the Project if you have any enhancement or add-ons to create a good and Secure Project, Help any User to Use it in a good and simple way.

License

This project is licensed under the terms of the MIT license.