Dynamic Django

Dynamic Django#

Dynamic Django aims to simplify the data processing and consolidation via generated APIs, DataTables, Charts and CLI tools.

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Key features#

  • Powerful CLI: A feature-rich commands able to manage the GIT interface, manipulate the configuration, update existing model and execute migration

  • Dynamic DataTables: using a single line of configuration, the data saved in any table is automatically managed

  • Dynamic Charts: extract relevant charts without coding all major type are supported

  • Dynamic API: any model can become a secure API Endpoint using DRF

Dynamic Django - Dynamic Programming concepts applied in Python/Django: APIs, DataTables, Charts

Download Sources#

To get the product navigate to the payment page and complete the purchase. Unpack the ZIP archive and folow these steps:

unzip dynamic-django.zip
cd dynamic-django

Once the source code is unzipped, the next step is to start it and use provided features.

Project Files#
< Dynamic Django >
   |
   |-- core/
   |    |-- settings.py         # Project Configuration
   |    |-- urls.py             # Project Routing
   |
   |-- cli/                     # CLI helpers
   |-- django_dyn_api/          # Dynamic API module
   |-- django_dyn_charts/       # Dynamic Charts
   |-- django_dyn_dt/           # Dynamic DataTable
   |
   |-- requirements.txt         # Project Dependencies
   |
   |-- build.sh                 # Render Builder Script
   |-- render.yaml              # Render Deeployer
   |
   |-- .env                     # ENV Configuration (default values)
   |-- manage.py                # Start the app - Django default start script

Building the project#

It’s best to use a Python virtual environment for installing the project dependencies. You can use the following code to create the virtual environment

virtualenv env

To activate the environment execute .envScriptsactivate.bat for Windows or source env/bin/activate on Linux-basedoperating systems.

Having the VENV active, we can proceed and install the project dependencies:

pip install -r requirements.txt

Core Dependencies#

The starter requires the following in order to be succesfully started:

  • Python 3.10 (or above)

  • (Optional) Git command line - used by the versioning system

  • (Optional) MySql or PostgreSQL DB Servers - if the default SQLite is not enough

  • A modern code editor like VsCode or Sublime

The python version can be easily check in the terminal by typing:

python --version
Python 3.12.0

Environment Settings#

The starter loads the environment variables from .env file. Here are the critical ones:

  • DEBUG: set by default to False (development mode)

  • SECRET_KEY: a random value used by Django to secure sensitive information like passwords and cookie information

  • Database Credentials: DB_ENGINE, DB_USERNAME, DB_PASS, DB_HOST, DB_PORT, DB_NAME

    • if detected, the database is switched automatically from the default SQLite to the specified DBMS

Setting up the Database#

By default, the application uses SQLite for persistence. In order to use MySql/PostgreSQL, you’ll need to install the Python driver(s):

pip install mysqlclient # for MySql
# OR
pip install psycopg2    # for PostgreSQL

To connect the application with your mySQL database, you’ll need to fill in the credentials int the .env file and run the migrations.

.env#
DB_ENGINE=mysql
# OR
DB_ENGINE=postgresql

# DB credentials below
DB_HOST=localhost
DB_NAME=<DB_NAME_HERE>
DB_USERNAME=<DB_USER_HERE>
DB_PASS=<DB_PASS_HERE>
DB_PORT=3306

Use the following commands to seed your data:

python manage.py makemigrations
python manage.py migrate

Running the project#

You can run Rocket Django locally or deploy it on Render. If you want to run the server locally, you’ll need to run the following command:

python manage.py createsuperuser
python manage.py runserver

That’s it! Open localhost on your browswer and you can interact with the application. If you want to run the application in a Docker container, we’ve got you covered. Run the following commands:

Homepage Dynamic Django - a tool that provides dynamic services for Django

Contents#

Contents