# Django Framework Structure Django follows a structure often referred to as MVT (Model-View-Template), which is closely related to the more common MVC (Model-View-Controller) pattern. Here's a breakdown of each component: ## 1. Model (M) - Represents the data structure - Contains the essential fields and behaviors of the data you're storing - Usually maps to a single database table - Example: A `User` model might contain fields like `username`, `email`, `password` ## 2. View (V) - Receives web requests and returns web responses - Contains the logic to process the data from the models - Equivalent to the Controller in MVC frameworks - Example: A view might fetch all users from the database and prepare them for display ## 3. Template (T) - Describes how the data should be presented - Usually HTML with Django template language - Equivalent to the View in MVC frameworks - Example: An HTML file that loops through a list of users and displays their information ## Key Points: - Django's "View" is not the same as MVC's "View" - Django's "Template" serves the purpose of MVC's "View" - The framework provides a URL dispatcher (urls.py) that maps URLs to views ## Flow of a typical Django request: 1. A request comes to a URL 2. Django uses the URL configuration to call the appropriate View 3. The View interacts with the Model to fetch/update data 4. The View then renders a Template, passing it any necessary data 5. The rendered Template is sent back as a response to the user This structure allows for a clear separation of concerns, making Django applications easier to develop, maintain, and scale. --- [django training](https://youtu.be/Rp5vd34d-z4?si=F8GugiXId9h6E9rK&t=1877) --- # Django Development Workflow and Project Structure ## 1. Project Setup ``` my_project/ manage.py my_project/ __init__.py settings.py urls.py asgi.py wsgi.py apps/ app1/ __init__.py admin.py apps.py models.py tests.py views.py urls.py migrations/ templates/ app1/ static/ app1/ app2/ # Similar structure to app1 templates/ static/ media/ requirements.txt .gitignore README.md ``` ## 2. Development Workflow 1. **Plan Your Project** - Define models, views, and URL structure - Create a list of features and prioritize them 2. **Set Up the Project** - Create a virtual environment - Install Django and other dependencies - Start a new Django project - Configure settings.py (database, static files, etc.) 3. **Create Apps** - Use `python manage.py startapp` for each major feature - Move apps into the `apps/` directory for better organization 4. **Define Models** - Design your data schema in `models.py` - Create migrations: `python manage.py makemigrations` - Apply migrations: `python manage.py migrate` 5. **Create Views and Templates** - Implement view logic in `views.py` - Create corresponding HTML templates 6. **Configure URLs** - Set up URL patterns in `urls.py` (both project and app level) 7. **Implement Forms** - Create forms for data input and processing 8. **Add Static Files** - Organize CSS, JavaScript, and images in static directories 9. **Set Up Admin Interface** - Customize `admin.py` for each app 10. **Write Tests** - Create unit tests for models, views, and forms - Run tests frequently: `python manage.py test` 11. **Implement Authentication and Authorization** - Set up user registration, login, and permissions 12. **Continuous Development and Iteration** - Regularly commit changes to version control - Refactor code as needed - Add new features incrementally 13. **Documentation** - Maintain a README.md with project setup instructions - Document complex parts of your code 14. **Deployment Preparation** - Set up production settings - Collect static files: `python manage.py collectstatic` - Configure your web server (e.g., Gunicorn, Nginx) ## Best Practices - Follow PEP 8 style guide for Python code - Use meaningful names for variables, functions, and classes - Keep views thin, move business logic to models or separate service classes - Use class-based views for reusable, DRY code - Leverage Django's built-in features (forms, authentication, admin) when possible - Use environment variables for sensitive information - Regularly update dependencies and Django version --- # Django Development: Advanced Concepts (Phase 2) ## 1. Advanced Model Techniques - **Model Inheritance**: - Abstract base classes - Multi-table inheritance - Proxy models - **Custom Model Managers** - **Optimizing QuerySets**: - `select_related()` and `prefetch_related()` - Aggregation and annotation - **Database Transactions** - **Custom Fields** ## 2. Advanced Views and Templates - **Class-Based Views**: - Generic views (ListView, DetailView, etc.) - Mixins for reusable functionality - **Custom Template Tags and Filters** - **Context Processors** - **Middleware**: - Creating custom middleware - Modifying request/response objects ## 3. Forms and Validation - **Model Forms** - **Formsets**: Handling multiple forms on a single page - **Custom Form Fields and Widgets** - **Advanced Form Validation** - **Django Crispy Forms** for better form rendering ## 4. Authentication and Authorization - **Custom User Models** - **Social Authentication** (e.g., using django-allauth) - **Token-Based Authentication** for APIs - **Permission and Groups**: Fine-grained access control - **Django Guardian** for object-level permissions ## 5. REST API Development - **Django Rest Framework (DRF)**: - Serializers - ViewSets and Routers - Authentication classes - Throttling and pagination - **API Documentation** (e.g., Swagger/OpenAPI) ## 6. Asynchronous Tasks and Background Jobs - **Celery** for task queues - **Django Channels** for WebSockets and real-time features - **Periodic Tasks** using Celery Beat ## 7. Caching Strategies - **Django's Caching Framework** - **Database Query Caching** - **Template Fragment Caching** - **Using Redis or Memcached** ## 8. Testing and Quality Assurance - **Advanced Testing Techniques**: - Factory Boy for test data - Mocking external services - Selenium for end-to-end testing - **Continuous Integration (CI)** setup - **Code Coverage** tools ## 9. Performance Optimization - **Database Optimization**: - Indexing - Raw SQL when necessary - **Profiling and Debugging**: - Django Debug Toolbar - New Relic or similar APM tools - **Optimizing Static Assets**: - Compression and minification - Content Delivery Networks (CDNs) ## 10. Deployment and DevOps - **Containerization** with Docker - **Orchestration** with Kubernetes - **Continuous Deployment (CD)** pipelines - **Monitoring and Logging**: - ELK Stack (Elasticsearch, Logstash, Kibana) - Prometheus and Grafana ## 11. Security Enhancements - **Django Security Middleware** - **Cross-Site Request Forgery (CSRF) Protection** - **SQL Injection Prevention** - **Content Security Policy (CSP)** - **Two-Factor Authentication (2FA)** ## 12. Internationalization and Localization - **Django's i18n Framework** - **Translation Management** - **Handling Timezones** ## Best Practices for Phase 2 - Implement comprehensive logging - Use database migrations for all schema changes - Regularly audit and update dependencies - Implement proper error handling and custom error pages - Use feature flags for gradual rollouts - Document APIs and complex functionality - Conduct regular security audits - Optimize for both mobile and desktop experiences --- # Streamlined Django Setup with Conda and pip ## 1. Create environment.yml file Create a file named `environment.yml` with the following content: ```yaml name: django_env channels: - defaults dependencies: - python=3.9 - pip - pip: - -r requirements.txt ``` ## 2. Create requirements.txt file Create a file named `requirements.txt` with your Python package dependencies: ``` django==4.2.5 djangorestframework==3.14.0 ``` ## 3. Create and activate the Conda environment Run the following command in the directory containing your environment.yml file: ```bash conda env create -f environment.yml conda activate django_env ``` ## 4. Create Django project and app ```bash django-admin startproject myproject cd myproject python manage.py startapp myapp ``` ## 5. Update dependencies (when needed) If you need to add new packages, update `requirements.txt` and run: ```bash pip install -r requirements.txt ``` ## 6. Recreate environment (for team members or new setups) ```bash conda env create -f environment.yml --force ```