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A command line app for creating Backends with FastAPI

Project description


A command line app for creating Backends with FastAPI, inspired in Artisan from Laravel and from Django.



The key features are:

  • Creates a normal project or a project with Docker and docker-compose.
  • Chooses a MySQL, PostgreSQL or SQLite database.
  • Works as with Django creating apps.
  • Every application created with Kamaqi contains a minimum CRUD.
  • Integration between SQLAlchemy and Alembic for migrations.

What is an app?

An application is a module of your project, which manages the logic of an actor of your application, for example (users, products, shops ... etc). Generally, an app is associated with a table in the database on which you want to do CRUD operations and they are named in the plural.

Every app created with Kamaqi contains the following files. For example:

  • The file contains classes of validation for input and output data using Pydantic. For example:
from pydantic import BaseModel,EmailStr

class UserCreate(BaseModel):

class UserRead(BaseModel):
  • The contains an APIRouter and endpoint functions. for example:
from fastapi import APIRouter,Depends,status
from users.schemas import UserCreate
from users.schemas import UserRead
from users.crud import insert_user

from sqlalchemy.orm import Session
from database.database import get_db

users_routes= APIRouter(prefix="/api/v1/users")"/create/",
async def create_user(user_data:UserCreate,

    return insert_user(db,user_data)
  • The contains a CRUD functions for your modules as insert_app, update_app, select_app ... etc. For example:
from users.schemas import UserCreate
from sqlalchemy.orm import Session
from database import models

def insert_user(db: Session, 

    db_user = models.User(**user.dict())

    return db_app

This is just an example, in a real development environment, before inserting the user into the database should encrypt the password, check if the user is not registered...etc.

Project Structure

When working on a project with Kamaqi, it can have the following structures.

It is very important to follow those structures to create applications, perform migrations, run your project and use all Kamaqi commands.

Otherwise you could build the applications in an unwanted directory, not find the file to add the models to, and also the migrations could fail.

Let's remember that FastAPI is a microframework and therefore doesn't give you a project structure like Django would. That is why we are free to structure our project as we want.

Kamaqi is a tool that will help you streamline your development processes, but in return you must respect its structure. For this reason we chose a structure similar to that of Django since this is a very mature framework and its way of working is one of the best.

If you have suggestions for a better project structure or would like to contribute to the development of Kamaqi by adding new features, you can visit Kamaqi GitHub.

  • The projects with Docker following the next structure.
├── db_volume
├── docker-compose.yaml
├── Dockerfile
├── kamaqi.json
├── requirements.txt
└── src
    ├── alembic.ini
    ├── database
    ├── .env
    ├── migrations
       └── versions
    ├── users
    └── project_name
  • The normal projects following the nex structure.
├── alembic.ini
├── database
│   ├──
│   └──
├── env
├── kamaqi.json
├── .env
├── migrations
│   ├──
│   ├──
│   └── versions
├── requirements.txt
├── users
│   ├──
│   ├──
│   └──
└── project_name
  • In the projects with docker db_volume/ is the directory where is saved your database data.

  • The Kamaqi.json file contains the metadata of your project, this file is very important because Kamaqi uses it to execute some commands.

  • In normal projects the env/ directory is the Python virtual environment.

  • The .env file contains the environment variables.

  • The migrations/ directory contains the settings for make migrations with Alembic.

  • The project_name/ is the main app in to the project.

  • project_name/ contains functions for hashing passwords, verify passwords and create access tokens.

  • project_name/ contains some exceptions.

  • project_name/ contains classes and functions that provide environment variables like secret keys, database connection parameters...etc. These variables are taken from the .env file.

  • database/ contains code for connecting to the database.

  • database/ contains your database models created with SQLALchemy, when your creates a new app kamaqi create a new basica model in the file.


Previous requirements

  • Python 3.10 or higher.

  • Kamaqi is now developed and tested in Ubuntu and other Linux distributions.

  • If you use Windows is recommended has installed WSL.

  • Note: You can contribute to the development of Kamaqi by testing its operation in Windows and reporting possible errors to improve the tool.

Install Kamaqi in the global environment.

pip3 install kamaqi

Another way to install Kamaqi is using pipx

pipx install kamaqi

Basic Usage

For help on Kamaqi commands and parameters, use.

kamaqi --help 
kamaqi command --help

Start your project

  • Start project in a new directory
kamaqi start project project_name
  • Start project in the current directory
kamaqi start project .
  • Choose the options, for setting your project.

  • If you choose a normal project and you don't have MySQL or PostgreSQL installed. it is recommended to select SQLite database.

  • Remember for create projects with docker requires docker and docker-compose installed.

Run your project

cd project_name

Execute the following commands

kamaqi run project


kamaqi run project --build

If you works with docker the --build option makes a new image of your project before running.

This is useful if you added a python library to your project when your container was running and you don't want the library to be lost on the next run, because the library is not found in the image.

For more information review add a Python library to your project.

Add apps to your project

Add an app

kamaqi add app users

Add multiple apps

kamaqi add apps users products sales ... etc

Create files for your apps

Kamaqi upgrade apps 
  • Refresh files in your editor.
  • Refresh the FastAPI documentation.
  • Review the the file.

Review your project settings

kamaqi show config

Review your project apps

kamaqi show apps

Database migrations

For update your database tables.

kamaqi migrate tables -m"A small description about your changes in database/"

Connecting to database

  • For projects with Docker, review the docker-compose.yaml and use the database environment variables or use the following parameters.
DATABASE_HOST = localhost or project_name_db
DATABASE_USER = project_name_user
DATABASE_PASSWORD = project_name_password
DATABASE_NAME = project_name_db
DATABASE_PORT = MySQL 3306  and PostgreSQL 5432
  • For normal projects use your settings and in the .env and edit the connection parameters.

  • For SQLite databases use a editor extension or a other software.

Adding a Python library to your project

kamaqi add dep python_library_name


kamaqi add deps python_library_name1 python_library_name2
  • In normal projects this comand add the python_library_name to the virtual environment(env) and updates the requirements.txt file.

  • In proyects with docker this command add the python_library_name to the project container and updates the requirements.txt file. Then when you use the --build the new image of your project will be build with the new libraries.

Removing a Python library to your project

kamaqi remove dep python_library_name


kamaqi remove deps python_library_name1 python_library_name2
  • In normal projects this comand removes the python_library_name in the virtual environment(env) and updates the requirements.txt file.

  • In proyects with docker this command removes the python_library_name in the project container and updates the requirements.txt file. Then when you use the --build the new image of your project will be build with the new libraries.

Executing a command in your project container

kamaqi exec "any Linux command" 
  • Kamaqi use the Ubuntu:latest version to build your project image. For this reason you can execute any command of Ubuntu.

  • Remember that any change in the container at runtime will not be reflected in the project image.

  • This method is not recommended for adding python libraries to the container as it will not update the requirements.txt file

Project Status

  • The project is currently under development and may contain errors.

  • You can contribute to this project, reporting bugs, writing documentation, writing tests, with pull requests... etc.

For more information, visit GitHub repository

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