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#
Dynamic DataTables: using a single line of configuration, the data saved in any table is automatically managed
Dynamic API : any model can become a secure API Endpoint using DRF
Dynamic Charts: extract relevant charts without coding all major types are supported
CSV Loader: translate CSV files into Django Models and (optional) load the information
Powerful CLI Tools for the GIT interface, configuration editing, updating the configuration and database (create models, migrate DB)
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.
< 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-based operating 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.
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 Dynamic 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
Access the project in your preferred browser and access the dynamic features.