Atlantis Lite Flask
Open-source Flask Dashboard generated by AppSeed
op top of a modern design. Atlantis Lite (Dark Design) is a free bootstrap 4 admin dashboard that is beautifully and elegantly designed to display various metrics, numbers or data visualization. Atlantis Lite admin dashboard has 2 layouts, many plugins and UI components to help developers create dashboards quickly and effectively so they can save development time and also help users to make the right and fast decisions based on existing data.
Features
- Up-to-date dependencies: Flask 2.0.1
- SCSS compilation via Gulp
- DBMS: SQLite, PostgreSQL (production)
- DB Tools: SQLAlchemy ORM, Flask-Migrate (schema migrations)
- Modular design with Blueprints, simple codebase
- Session-Based authentication (via flask_login), Forms validation
- Deployment scripts: Docker, Gunicorn / Nginx, Heroku
- Support via Github and Discord.
Links
- Atlantis Lite Flask - product page
- Atlantis Lite Flask - LIVE Deployment
- Atlantis Lite Flask - product documentation
Quick Start in Docker
Get the code
$ git clone https://github.com/app-generator/flask-dashboard-atlantis-dark.git
$ cd flask-dashboard-atlantis-dark
Start the app in Docker
$ docker-compose pull # download dependencies
$ docker-compose build # local set up
$ docker-compose up -d # start the app
Visit http://localhost:85
in your browser. The app should be up & running.
$ # Get the code
$ git clone https://github.com/app-generator/flask-dashboard-atlantis-dark.git
$ cd flask-dashboard-atlantis-dark
$
$ # Virtualenv modules installation (Unix based systems)
$ virtualenv env
$ source env/bin/activate
$
$ # Virtualenv modules installation (Windows based systems)
$ # virtualenv env
$ # .\env\Scripts\activate
$
$ # Install modules - SQLite Database
$ pip3 install -r requirements.txt
$
$ # OR with PostgreSQL connector
$ # pip install -r requirements-pgsql.txt
$
$ # Set the FLASK_APP environment variable
$ (Unix/Mac) export FLASK_APP=run.py
$ (Windows) set FLASK_APP=run.py
$ (Powershell) $env:FLASK_APP = ".\run.py"
$
$ # Set up the DEBUG environment
$ # (Unix/Mac) export FLASK_ENV=development
$ # (Windows) set FLASK_ENV=development
$ # (Powershell) $env:FLASK_ENV = "development"
$
$ # Start the application (development mode)
$ # --host=0.0.0.0 - expose the app on all network interfaces (default 127.0.0.1)
$ # --port=5000 - specify the app port (default 5000)
$ flask run --host=0.0.0.0 --port=5000
$
$ # Access the dashboard in browser: http://127.0.0.1:5000/
Note: To use the app, please access the registration page and create a new user. After authentication, the app will unlock the private pages.
The project is coded using blueprints, app factory pattern, dual configuration profile (development and production) and an intuitive structure presented bellow:
< PROJECT ROOT >
|
|-- apps/
| |
| |-- home/ # A simple app that serve HTML files
| | |-- routes.py # Define app routes
| |
| |-- authentication/ # Handles auth routes (login and register)
| | |-- routes.py # Define authentication routes
| | |-- models.py # Defines models
| | |-- forms.py # Define auth forms (login and register)
| |
| |-- static/
| | |-- <css, JS, images> # CSS files, Javascripts files
| |
| |-- templates/ # Templates used to render pages
| | |-- includes/ # HTML chunks and components
| | | |-- navigation.html # Top menu component
| | | |-- sidebar.html # Sidebar component
| | | |-- footer.html # App Footer
| | | |-- scripts.html # Scripts common to all pages
| | |
| | |-- layouts/ # Master pages
| | | |-- base-fullscreen.html # Used by Authentication pages
| | | |-- base.html # Used by common pages
| | |
| | |-- accounts/ # Authentication pages
| | | |-- login.html # Login page
| | | |-- register.html # Register page
| | |
| | |-- home/ # UI Kit Pages
| | |-- index.html # Index page
| | |-- 404-page.html # 404 page
| | |-- *.html # All other pages
| |
| config.py # Set up the app
| __init__.py # Initialize the app
|
|-- requirements.txt # Development modules - SQLite storage
|-- requirements-mysql.txt # Production modules - Mysql DMBS
|-- requirements-pqsql.txt # Production modules - PostgreSql DMBS
|
|-- Dockerfile # Deployment
|-- docker-compose.yml # Deployment
|-- gunicorn-cfg.py # Deployment
|-- nginx # Deployment
| |-- appseed-app.conf # Deployment
|
|-- .env # Inject Configuration via Environment
|-- run.py # Start the app - WSGI gateway
|
|-- ************************************************************************
The bootstrap flow
run.py
loads the.env
file- Initialize the app using the specified profile: Debug or Production
- If env.DEBUG is set to True the SQLite storage is used
- If env.DEBUG is set to False the specified DB driver is used (MySql, PostgreSQL)
- Call the app factory method
create_app
defined in app/init.py - Redirect the guest users to Login page
- Unlock the pages served by home blueprint for authenticated users
To recompile SCSS files, follow this setup:
Step #1 - Install tools
Step #2 - Change the working directory to assets
folder
$ cd apps/static/assets
Step #3 - Install modules (this will create a classic node_modules
directory)
$ npm install
// OR
$ yarn
Step #4 - Edit & Recompile SCSS files
$ gulp scss
The generated file is saved in static/assets/css
directory.
The app is provided with a basic configuration to be executed in Docker, Heroku, Gunicorn, and Waitress.
Steps to deploy on Heroku
- Create a FREE account on Heroku platform
- Install the Heroku CLI that match your OS: Mac, Unix or Windows
- Open a terminal window and authenticate via
heroku login
command - Clone the sources and push the project for LIVE deployment
$ # Clone the source code:
$ git clone https://github.com/app-generator/flask-dashboard-atlantis-dark.git
$ cd flask-dashboard-atlantis-dark
$
$ # Check Heroku CLI is installed
$ heroku -v
heroku/7.25.0 win32-x64 node-v12.13.0 # <-- All good
$
$ # Check Heroku CLI is installed
$ heroku login
$ # this commaond will open a browser window - click the login button (in browser)
$
$ # Create the Heroku project
$ heroku create
$
$ # Trigger the LIVE deploy
$ git push heroku master
$
$ # Open the LIVE app in browser
$ heroku open
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX.
Install using pip
$ pip install gunicorn
Start the app using gunicorn binary
$ gunicorn --bind 0.0.0.0:8001 run:app
Serving on http://localhost:8001
Visit http://localhost:8001
in your browser. The app should be up & running.
Waitress (Gunicorn equivalent for Windows) is meant to be a production-quality pure-Python WSGI server with very acceptable performance. It has no dependencies except ones that live in the Python standard library.
Install using pip
$ pip install waitress
Start the app using waitress-serve
$ waitress-serve --port=8001 run:app
Serving on http://localhost:8001
Visit http://localhost:8001
in your browser. The app should be up & running.
- Flask Framework - The offcial website
- Boilerplate Code - Index provided by AppSeed
- Boilerplate Code - Index published on Github
Atlantis Lite Flask - Provided by AppSeed App Generator.