Flask Dashboard - Volt Bootstrap 5 PRO
Flask Dashboard coded with basic modules, database, ORM and deployment scripts on top of Volt Dashboard PRO (premium version), a modern Bootstrap dashboard design. Volt Pro is a premium Bootstrap 5 Admin Dashboard featuring over 800 components, 20 example pages and 10 fully customized plugin written in Vanilla Javascript.
Flask Dashboard Features
- Up-to-date dependencies: Flask 2.0.1
- SCSS compilation via Gulp
- UI Kit: Volt Dashboard PRO by Themesberg
- DBMS: SQLite, PostgreSQL (production)
- DB Tools: SQLAlchemy ORM, Flask-Migrate (schema migrations)
- Modular design with Blueprints
- Session-Based authentication (via flask_login), Forms validation
- Deployment scripts: Docker, Gunicorn / Nginx, Heroku
- Support via Github (issues tracker) and Discord.
Links
- Flask Volt PRO - product page
- Flask Volt PRO - LIVE deployment
- Flask Volt PRO - product documentation
Quick Start in Docker
Get the code
$ git clone https://github.com/app-generator/priv-flask-dashboard-volt-pro.git
$ cd priv-flask-dashboard-volt-pro
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/priv-flask-dashboard-volt-pro.git
$ cd priv-flask-dashboard-volt-pro
$
$ # 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 below:
< 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
|
|-- ************************************************************************
ENV Tests
| NodeJS | NPM | YARN | Gulp | Status |
| --- | --- | --- | --- |
| v14.15.0
| v6.14.8
| v1.22.5
| CLI version: 2.3.0
| ✔️ |
| v12.22.0
| v6.14.11
| v1.22.5
| CLI version: 2.3.0
| ✔️ |
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
The generated files (css, min.css) are 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/priv-flask-dashboard-volt-pro.git
$ cd priv-flask-dashboard-volt-pro
$
$ # 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
Flask Dashboard Volt - Provided by AppSeed App Generator.