💡Concept Schematic

🗄️ Flask Application

This repository serves as a template for creating Flask applications with a structured design, best practices, and tooling for development and deployment. It includes Docker support, linting, and configurations to help standardise projects within the team.

Features

• Flask Framework: Organised structure for Flask projects, enabling scalability.
• Docker: Pre-configured Docker support for containerisation.
• Pipenv: Dependency management using Pipenv for virtual environments and package versioning.
• Helm: Helm charts for Kubernetes deployments.
• Pre-commit Hooks: Pre-configured linting and code style enforcement using flake8, pylint, and black.
• Testing Setup: Integrated with pytest for testing.
• Error Handling: Custom middleware for error handling.

Directory Structure

.
├── Dockerfile                  
├── LICENSE                      
├── Pipfile                      # Pipenv dependencies
├── Pipfile.lock                 # Locked dependencies for Pipenv
├── README.md                    
├── app/                         # Application source code
│   ├── __init__.py              # Application factory
│   ├── app.py                   # Entry point for the app
│   ├── main/                    # Main application module
│   │   ├── config/              # Configuration files for the application
│   │   │   ├── app_config.py    # Application-specific configurations i.e. env vars
│   │   │   ├── cors_config.py   # CORS configuration
│   │   │   ├── error_handlers_config.py
│   │   │   ├── jinja_config.py  
│   │   │   ├── limiter_config.py 
│   │   │   ├── logging_config.py
│   │   │   ├── routes_config.py 
│   │   │   └── sentry_config.py 
│   │   ├── middleware/          # Middleware for request/response handling
│   │   │   ├── error_handler.py  # Custom error handler middleware
│   │   ├── routes/              
│   │   │   ├── main.py          # Main route definitions
│   │   │   └── robots.py        # Robots.txt handler route
│   │   ├── services/            # Service layer, where you put things like slack and github services
│   │   └── validators/          # Input validation
│   ├── run.py                   # Script to run the application
│   ├── static/                  # Static files (images, JS, CSS, fonts)
│   └── templates/               # HTML templates
│       ├── components/          # Reusable HTML components
│       └── pages/               # Page templates
├── docker-compose.yaml          
├── docker-test.yaml             
├── helm/                        # Helm chart for cloud platform deployments
│   └── application/             
│       ├── Chart.yaml           # Helm chart metadata
│       ├── templates/           # Kubernetes resource templates
│       ├── values-dev.yaml      # Development environment values
│       └── values-prod.yaml     # Production environment values
└── makefile                     # Makefile for automating common tasks

Setup Instructions

1. Clone the Repository

git clone [email protected]:ministryofjustice/operations-engineering-flask-template.git
cd operations-engineering-flask-template

2. Install Dependencies with Pipenv

Ensure you have Pipenv installed:

pip install pipenv

Install the dependencies:

pipenv install --dev

Activate the virtual environment:

pipenv shell

3. Set Up Pre-commit Hooks

This project uses pre-commit hooks to maintain code quality. Install and set up the hooks:

pipenv run pre-commit install

4. Running the Application

Start the Flask application locally using docker-compose:

docker-compose build
docker-compose up

The application will be available at http://localhost:4567/.

5. Running Tests

To run the unit tests using pytest:

pipenv run pytest

Deployment

Kubernetes (Helm)

This project includes Helm charts for Kubernetes deployment. You can use the helm/application/ directory to deploy your application with Helm. Modify values-dev.yaml or values-prod.yaml as necessary for your environment.

helm install my-app ./helm/application

Linting and Code Style

• flake8: Enforces PEP8 style guide for Python code.
• pylint: Provides code analysis and checks for common errors.
• black: Ensures consistent code formatting (automatically run by pre-commit).

Running Linters

pipenv run flake8
pipenv run pylint app

Configuration

The application configuration is modularised in the app/main/config/ directory. Each aspect of the app’s configuration (e.g., CORS, error handlers, logging) is stored in its own file. Modify the configurations to suit your application needs.

Extending the Template

Feel free to extend the template by adding more services and blueprints or integrating additional tools such as databases or external APIs.

Contributions

If you have suggestions or improvements to this template, open a pull request or raise an issue.

License

This project is licensed under the MIT License.