Technology Requirements Demo 4

Technology Requirements:

Logo	Technology	Use	Justification
	Next.js	Frontend	Next.js was selected because it is familiar to the development team and provides a structured framework for building modern web applications. It supports reusable components, routing, and server-side capabilities, which improve maintainability and development productivity. It is open source, which supports the requirement of prioritising free and open-source software and technologies.
	Python	Backend and ML	Python was selected for its readability, large ecosystem, and support for machine learning. It is also open source, which supports the requirement of prioritising free and open-source software and technologies.
	FastAPI	Backend API Framework	FastAPI was selected because it is a high-performance framework for developing APIs in Python, which is also used by other backend technologies in the system. It supports asynchronous functionality, making it suitable for the backend's asynchronous operations. It is open source, which supports the requirement of prioritising free and open-source software and technologies.
	PostgreSQL	Relational Database	PostgreSQL was selected because it is familiar to the development team and is a reliable relational database management system. It supports structured data, relationships, constraints, and useful data types like JSONB. It suites the system's requirements for storing Users, Cases, Reports, and Comments. PostgreSQL is open source, which supports the requirement of prioritising free and open-source software and technologies.
	Cloudflare R2	Object Storage	Cloudflare R2 was selected to provide object storage for uploaded media files, including images, PDFs, and videos. Its S3-compatible API also integrates easily with Python libraries used by the backend. Its free tier supports the requirement of prioritising free or low-cost technologies.
	PyTorch	Machine Learning	PyTorch was selected for the development of classification models for the various media types supported by the system. As a Python library, it integrates easily with the backend and provides functionality for developing, training, evaluating, and executing neural network models. PyTorch is open source, which supports the requirement of prioritising free and open-source software and technologies.
	Docker	Containerisation and Deployment	Docker was selected because of the development team's familiarity with it and the isolated execution environment it provides. Containerisation helps reduce environment-specific config issues and allows the system to be deployed consistently across development, testing, and production environments. Docker also provides the tooling necessary for deployment and container management. Its freely available tooling supports the requirement of prioritising free software and technologies.
	Jest	Frontend Testing	Jest was selected as the frontend testing framework because it supports JavaScript and TypeScript and is familiar to the development team. It provides useful testing functionality such as assertions, test isolation, mocking, and automated test execution. Jest also supports code-coverage reporting, allowing the team to measure progress towards the 85% testing coverage target defined by the system's reliability requirements. Jest is open source, which supports the requirement of prioritising free and open-source software and technologies.
	PyTest	Backend Testing	Pytest was selected because it easily integrates with the Python-based backend and can also be used to test machine-learning functionality implemented using PyTorch. It provides simple and readable test syntax and supports fixtures, parameterised testing, and asynchronous testing. Asynchronous testing is useful because the backend makes use of asynchronous programming. Pytest is open source, which supports the requirement of prioritising free and open-source software and technologies.
	PlayWright	End-to-end Testing	Playwright was selected for end-to-end testing because it supports automated testing of user workflows through real browser environments. It allows the development team to simulate user interactions with the system and verify the successful execution of user stories across the frontend and backend. Playwright is open source, which supports the requirement of prioritising free and open-source software and technologies.

API Contracts